From b49d2215b52b91fc590a8d2c8dc5e119acd08378 Mon Sep 17 00:00:00 2001 From: dbrakenhoff Date: Tue, 22 Jun 2021 12:09:52 +0200 Subject: [PATCH 01/41] force name to be of type str #39 --- pastastore/base.py | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/pastastore/base.py b/pastastore/base.py index 07cfda39..160b7089 100644 --- a/pastastore/base.py +++ b/pastastore/base.py @@ -181,6 +181,8 @@ def _add_series(self, libname: str, ItemInLibraryException if overwrite is False and name is already in the database """ + if not isinstance(name, str): + name = str(name) self._validate_input_series(series) series = self._set_series_name(series, name) in_store = getattr(self, f"{libname}_names") @@ -342,7 +344,8 @@ def add_model(self, ml: Union[ps.Model, dict], metadata = None else: raise TypeError("Expected pastas.Model or dict!") - + if not isinstance(name, str): + name = str(name) if name not in self.model_names or overwrite: # check if oseries and stresses exist in store self._check_model_series_names_for_store(ml) From 7c058dec7980b4777762f5570993efa88a615dc9 Mon Sep 17 00:00:00 2001 From: dbrakenhoff Date: Tue, 22 Jun 2021 13:42:40 +0200 Subject: [PATCH 02/41] update docs, example notebooks --- docs/connectors.rst | 21 +- docs/modules.rst | 4 + docs/pstore.rst | 2 +- docs/utils.rst | 5 +- ...intro+guide_for_pastas-Project_users.ipynb | 30 +- ...introduction_to_pastastore_databases.ipynb | 269 +++++++++--------- 6 files changed, 172 insertions(+), 159 deletions(-) diff --git a/docs/connectors.rst b/docs/connectors.rst index cf3f3c59..4e03a807 100644 --- a/docs/connectors.rst +++ b/docs/connectors.rst @@ -46,7 +46,7 @@ Arctic The :ref:`ArcticConnector` is an object that creates a connection with a MongoDB database. This can be an existing or a new database. For each of the datasets a collection or library is created. These are named -using the following convention: `.`. +using the following convention: `.`. The Arctic implementation uses the following structure: @@ -61,14 +61,12 @@ are stored as pandas.DataFrames. Models are stored in JSON (actually binary JSON) and *do not* contain the timeseries themselves. These are picked up from the other libraries when the model is loaded from the database. -The `ArcticConnector` object allows the user to add different versions for -datasets, which can be used to keep a history of older models for example. - Pystore ------- The :ref:`PystoreConnector` is an object that links to a location on disk. This can either be an existing or a new Pystore. A new -store is created with collections that hold the different datasets: +store is created with collections (or libraries) that hold the different +datasets: * observation timeseries * stresses timeseries @@ -79,7 +77,7 @@ The Pystores have the following structure: .. code-block:: bash +-- store - | +-- collections... (i.e. oseries, stresses, models) + | +-- collections or libraries... (i.e. oseries, stresses, models) | | +-- items... (i.e. individual timeseries or models) @@ -91,8 +89,7 @@ design allows the models to be saved in a PyStore. The timeseries are picked up from their respective stores when the model is loaded from disk. PyStore supports so-called snapshots (which store the current state of the -store) but this has not been actively implemented in this module. Pystore does -not have the same versioning capabilities as Arctic. +store) but this has not been actively implemented in this module. Custom Connectors ----------------- @@ -100,12 +97,12 @@ It should be relatively straightforward to write your own custom connector object. The :ref:`Base` submodule contains the `BaseConnector` class that defines which methods and properties *must* be defined. The `ConnectorUtil` mix-in class contains some general methods that -are used by each connector. Each Connector object should inherit from these +are used by each connector. Each Connector object should inherit from these two classes. The `BaseConnector` class also shows the expected call signature for each method. Following the same call signature should ensure that your new connector -works directly with `PastaStore`. Though extra keyword arguments can be +works directly with `PastaStore`. Extra keyword arguments can be added in the custom class. Below is a small snippet showing a custom Connector class:: @@ -113,6 +110,6 @@ Below is a small snippet showing a custom Connector class:: class MyCustomConnector(BaseConnector, ConnectorUtil): """Must override each method and property in BaseConnector, e.g.""" - def get_oseries(self, name, progressbar=False): - # your code to get oseries from database here + def _get_item(self, name, progressbar=False): + # your code here for getting an item from your database pass diff --git a/docs/modules.rst b/docs/modules.rst index de7551ce..866a4307 100644 --- a/docs/modules.rst +++ b/docs/modules.rst @@ -21,6 +21,7 @@ DictConnector .. autoclass:: pastastore.DictConnector :members: + :private-members: :show-inheritance: PasConnector @@ -28,6 +29,7 @@ PasConnector .. autoclass:: pastastore.PasConnector :members: + :private-members: :show-inheritance: ArcticConnector @@ -36,6 +38,7 @@ ArcticConnector .. autoclass:: pastastore.ArcticConnector :members: :undoc-members: + :private-members: :show-inheritance: PystoreConnector @@ -44,6 +47,7 @@ PystoreConnector .. autoclass:: pastastore.PystoreConnector :members: :undoc-members: + :private-members: :show-inheritance: .. _Pastastore_API: diff --git a/docs/pstore.rst b/docs/pstore.rst index cb51d9a3..f2bf3fc8 100644 --- a/docs/pstore.rst +++ b/docs/pstore.rst @@ -3,7 +3,7 @@ PastaStore object ================= The `PastaStore` object is essentially a class for working with timeseries and -pastas Models. A connector has to be passed to the object which manages the +pastas Models. A Connector has to be passed to the object which manages the retrieval and storage of data. Methods are available for the following tasks: diff --git a/docs/utils.rst b/docs/utils.rst index 86ef2aad..50367e34 100644 --- a/docs/utils.rst +++ b/docs/utils.rst @@ -3,8 +3,8 @@ Utilities ========= The `pastastore.util` submodule contains useful functions, i.e. for deleting -databases, connector objects, and PastaStore objects or emptying a library of -all its contents: +databases, connector objects, and PastaStore objects, emptying a library of +all its contents or copying all data to a new database: * :meth:`pastastore.util.delete_pastastore` @@ -13,6 +13,7 @@ all its contents: * :meth:`pastastore.util.delete_pystore_connector` * :meth:`pastastore.util.delete_arctic_connector` * :meth:`pastastore.util.empty_library` +* :meth:`pastastore.util.copy_database` It also contains a method for making a detailed comparison between two diff --git a/examples/notebooks/ex01_intro+guide_for_pastas-Project_users.ipynb b/examples/notebooks/ex01_intro+guide_for_pastas-Project_users.ipynb index ca8391e7..38a4fbe8 100644 --- a/examples/notebooks/ex01_intro+guide_for_pastas-Project_users.ipynb +++ b/examples/notebooks/ex01_intro+guide_for_pastas-Project_users.ipynb @@ -49,14 +49,13 @@ "metadata": {}, "outputs": [], "source": [ + "import pastastore as pst\n", "import os\n", "import pandas as pd\n", "import pastas as ps\n", "\n", "import sys\n", - "sys.path.insert(1, \"../..\")\n", - "\n", - "import pastastore as pst" + "sys.path.insert(1, \"../..\")" ] }, { @@ -221,7 +220,8 @@ ], "source": [ "datadir = \"../../tests/data/\" # relative path to data directory\n", - "oseries1 = pd.read_csv(os.path.join(datadir, \"head_nb1.csv\"), index_col=0, parse_dates=True)\n", + "oseries1 = pd.read_csv(os.path.join(\n", + " datadir, \"head_nb1.csv\"), index_col=0, parse_dates=True)\n", "ometa = {\"x\": 100300, \"y\": 400400}\n", "oseries1.head()" ] @@ -275,13 +275,15 @@ "metadata": {}, "outputs": [], "source": [ - "# prec \n", - "p = pd.read_csv(os.path.join(datadir, \"rain_nb1.csv\"), index_col=0, parse_dates=True)\n", + "# prec\n", + "p = pd.read_csv(os.path.join(datadir, \"rain_nb1.csv\"),\n", + " index_col=0, parse_dates=True)\n", "p.columns = ['value']\n", "pmeta = {\"x\": 100300, \"y\": 400400}\n", "\n", - "# evap \n", - "e = pd.read_csv(os.path.join(datadir, \"evap_nb1.csv\"), index_col=0, parse_dates=True)\n", + "# evap\n", + "e = pd.read_csv(os.path.join(datadir, \"evap_nb1.csv\"),\n", + " index_col=0, parse_dates=True)\n", "e.columns = [\"value\"]\n", "emeta = {\"x\": 100300, \"y\": 400400}" ] @@ -1006,16 +1008,19 @@ "outputs": [], "source": [ "# oseries 2\n", - "o2 = pd.read_csv(os.path.join(datadir, \"obs.csv\"), index_col=0, parse_dates=True)\n", + "o2 = pd.read_csv(os.path.join(datadir, \"obs.csv\"),\n", + " index_col=0, parse_dates=True)\n", "o2.index.name = \"oseries2\"\n", "ometa2 = {\"x\": 100000, \"y\": 400000}\n", "\n", "# prec 2\n", - "p2 = pd.read_csv(os.path.join(datadir, \"rain.csv\"), index_col=0, parse_dates=True)\n", + "p2 = pd.read_csv(os.path.join(datadir, \"rain.csv\"),\n", + " index_col=0, parse_dates=True)\n", "pmeta2 = {\"x\": 100000, \"y\": 400000}\n", "\n", "# evap 2\n", - "e2 = pd.read_csv(os.path.join(datadir, \"evap.csv\"), index_col=0, parse_dates=True)\n", + "e2 = pd.read_csv(os.path.join(datadir, \"evap.csv\"),\n", + " index_col=0, parse_dates=True)\n", "emeta2 = {\"x\": 100000, \"y\": 400000}" ] }, @@ -1353,7 +1358,8 @@ ], "source": [ "# pastas.Project\n", - "prj.get_parameters([\"recharge_A\", \"recharge_a\", \"recharge_n\", \"recharge_f\", \"constant_d\", \"noise_alpha\"])" + "prj.get_parameters([\"recharge_A\", \"recharge_a\", \"recharge_n\",\n", + " \"recharge_f\", \"constant_d\", \"noise_alpha\"])" ] }, { diff --git a/examples/notebooks/ex02_introduction_to_pastastore_databases.ipynb b/examples/notebooks/ex02_introduction_to_pastastore_databases.ipynb index 83080515..bd59769a 100644 --- a/examples/notebooks/ex02_introduction_to_pastastore_databases.ipynb +++ b/examples/notebooks/ex02_introduction_to_pastastore_databases.ipynb @@ -70,14 +70,13 @@ "metadata": {}, "outputs": [], "source": [ + "import pastastore as pst\n", "import os\n", "import pandas as pd\n", "import pastas as ps\n", "\n", "import sys\n", - "sys.path.insert(1, \"../..\")\n", - "\n", - "import pastastore as pst" + "sys.path.insert(1, \"../..\")" ] }, { @@ -97,7 +96,8 @@ "metadata": {}, "outputs": [], "source": [ - "connstr = \"mongodb://localhost:27017/\" # for docker container with name 'mongodb' running mongodb\n", + "# for docker container with name 'mongodb' running mongodb\n", + "connstr = \"mongodb://localhost:27017/\"\n", "name = \"my_connector\"" ] }, @@ -126,9 +126,9 @@ "name": "stderr", "output_type": "stream", "text": [ - "Library created, but couldn't enable sharding: no such command: 'enablesharding'. This is OK if you're not 'admin'\n", - "Library created, but couldn't enable sharding: no such command: 'enablesharding'. This is OK if you're not 'admin'\n", - "Library created, but couldn't enable sharding: no such command: 'enablesharding'. This is OK if you're not 'admin'\n" + "Library created, but couldn't enable sharding: no such command: 'enablesharding', full error: {'ok': 0.0, 'errmsg': \"no such command: 'enablesharding'\", 'code': 59, 'codeName': 'CommandNotFound'}. This is OK if you're not 'admin'\n", + "Library created, but couldn't enable sharding: no such command: 'enablesharding', full error: {'ok': 0.0, 'errmsg': \"no such command: 'enablesharding'\", 'code': 59, 'codeName': 'CommandNotFound'}. This is OK if you're not 'admin'\n", + "Library created, but couldn't enable sharding: no such command: 'enablesharding', full error: {'ok': 0.0, 'errmsg': \"no such command: 'enablesharding'\", 'code': 59, 'codeName': 'CommandNotFound'}. This is OK if you're not 'admin'\n" ] } ], @@ -267,9 +267,9 @@ "name": "stdout", "output_type": "stream", "text": [ - "PasConnector: library oseries created in ./pas/oseries\n", - "PasConnector: library stresses created in ./pas/stresses\n", - "PasConnector: library models created in ./pas/models\n" + "PasConnector: library oseries created in /home/david/Github/pastastore/examples/notebooks/pas/oseries\n", + "PasConnector: library stresses created in /home/david/Github/pastastore/examples/notebooks/pas/stresses\n", + "PasConnector: library models created in /home/david/Github/pastastore/examples/notebooks/pas/models\n" ] } ], @@ -320,30 +320,30 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 12, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "\n", - " \n", - " " + "\n", + " \n", + " " ] }, - "execution_count": 11, + "execution_count": 12, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# using the ArcticConnector\n", - "conn.get_library(\"oseries\")" + "conn._get_library(\"oseries\")" ] }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 13, "metadata": {}, "outputs": [ { @@ -352,35 +352,35 @@ "PyStore.collection " ] }, - "execution_count": 12, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# using the PystoreConnector\n", - "conn2.get_library(\"stresses\")" + "conn2._get_library(\"stresses\")" ] }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 14, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "'./pas/stresses'" + "'/home/david/Github/pastastore/examples/notebooks/pas/stresses'" ] }, - "execution_count": 13, + "execution_count": 14, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# using the PasConnector\n", - "conn3.get_library(\"stresses\")" + "conn3._get_library(\"stresses\")" ] }, { @@ -405,7 +405,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 15, "metadata": {}, "outputs": [], "source": [ @@ -421,7 +421,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 16, "metadata": {}, "outputs": [ { @@ -431,7 +431,7 @@ " - 'my_second_connector': 0 oseries, 0 stresses, 0 models" ] }, - "execution_count": 15, + "execution_count": 16, "metadata": {}, "output_type": "execute_result" } @@ -449,42 +449,42 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 18, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - " 'my_second_connector': 0 oseries, 0 stresses, 0 models>" + " 'my_second_connector': 0 oseries, 0 stresses, 0 models>" ] }, - "execution_count": 16, + "execution_count": 18, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "store.conn.get_library" + "store.conn.get_oseries" ] }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 19, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - " 'my_second_connector': 0 oseries, 0 stresses, 0 models>" + " 'my_second_connector': 0 oseries, 0 stresses, 0 models>" ] }, - "execution_count": 17, + "execution_count": 19, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "store.get_library" + "store.get_oseries" ] }, { @@ -509,7 +509,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 20, "metadata": {}, "outputs": [ { @@ -575,14 +575,15 @@ "1986-01-13 28.32" ] }, - "execution_count": 18, + "execution_count": 20, "metadata": {}, "output_type": "execute_result" } ], "source": [ "datadir = \"../../tests/data/\" # relative path to data directory\n", - "oseries1 = pd.read_csv(os.path.join(datadir, \"head_nb1.csv\"), index_col=0, parse_dates=True)\n", + "oseries1 = pd.read_csv(os.path.join(\n", + " datadir, \"head_nb1.csv\"), index_col=0, parse_dates=True)\n", "oseries1.head()" ] }, @@ -595,7 +596,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 21, "metadata": {}, "outputs": [], "source": [ @@ -611,7 +612,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 22, "metadata": {}, "outputs": [ { @@ -621,7 +622,7 @@ " - 'my_second_connector': 1 oseries, 0 stresses, 0 models" ] }, - "execution_count": 20, + "execution_count": 22, "metadata": {}, "output_type": "execute_result" } @@ -639,24 +640,26 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 23, "metadata": {}, "outputs": [], "source": [ "# prec\n", - "s = pd.read_csv(os.path.join(datadir, \"rain_nb1.csv\"), index_col=0, parse_dates=True)\n", + "s = pd.read_csv(os.path.join(datadir, \"rain_nb1.csv\"),\n", + " index_col=0, parse_dates=True)\n", "store.add_stress(s, \"prec1\", kind=\"prec\", metadata={\"x\": 100300,\n", " \"y\": 400400})\n", "\n", "# evap\n", - "s = pd.read_csv(os.path.join(datadir, \"evap_nb1.csv\"), index_col=0, parse_dates=True)\n", + "s = pd.read_csv(os.path.join(datadir, \"evap_nb1.csv\"),\n", + " index_col=0, parse_dates=True)\n", "store.add_stress(s, \"evap1\", kind=\"evap\", metadata={\"x\": 100300,\n", " \"y\": 400400})" ] }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 24, "metadata": {}, "outputs": [ { @@ -666,7 +669,7 @@ " - 'my_second_connector': 1 oseries, 2 stresses, 0 models" ] }, - "execution_count": 22, + "execution_count": 24, "metadata": {}, "output_type": "execute_result" } @@ -686,7 +689,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 25, "metadata": {}, "outputs": [ { @@ -752,7 +755,7 @@ "1986-01-13 28.32" ] }, - "execution_count": 23, + "execution_count": 25, "metadata": {}, "output_type": "execute_result" } @@ -771,7 +774,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 26, "metadata": {}, "outputs": [ { @@ -809,7 +812,7 @@ " [13476 rows x 1 columns]}" ] }, - "execution_count": 24, + "execution_count": 26, "metadata": {}, "output_type": "execute_result" } @@ -828,7 +831,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 27, "metadata": {}, "outputs": [ { @@ -868,7 +871,7 @@ " oseries1\n", " 100300\n", " 400400\n", - " 2021-03-15 13:01:10.788424\n", + " 2021-06-22 13:01:09.612528\n", " \n", " \n", "\n", @@ -877,10 +880,10 @@ "text/plain": [ " x y _updated\n", "name \n", - "oseries1 100300 400400 2021-03-15 13:01:10.788424" + "oseries1 100300 400400 2021-06-22 13:01:09.612528" ] }, - "execution_count": 25, + "execution_count": 27, "metadata": {}, "output_type": "execute_result" } @@ -899,7 +902,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 28, "metadata": {}, "outputs": [ { @@ -942,14 +945,14 @@ " 100300.0\n", " 400400.0\n", " prec\n", - " 2021-03-15 13:01:10.831029\n", + " 2021-06-22 13:01:10.946286\n", " \n", " \n", " evap1\n", " 100300.0\n", " 400400.0\n", " evap\n", - " 2021-03-15 13:01:10.864563\n", + " 2021-06-22 13:01:10.973078\n", " \n", " \n", "\n", @@ -958,11 +961,11 @@ "text/plain": [ " x y kind _updated\n", "name \n", - "prec1 100300.0 400400.0 prec 2021-03-15 13:01:10.831029\n", - "evap1 100300.0 400400.0 evap 2021-03-15 13:01:10.864563" + "prec1 100300.0 400400.0 prec 2021-06-22 13:01:10.946286\n", + "evap1 100300.0 400400.0 evap 2021-06-22 13:01:10.973078" ] }, - "execution_count": 26, + "execution_count": 28, "metadata": {}, "output_type": "execute_result" } @@ -992,7 +995,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 29, "metadata": {}, "outputs": [ { @@ -1032,7 +1035,7 @@ " oseries1\n", " 100300\n", " 400400\n", - " 2021-03-15 13:01:10.788424\n", + " 2021-06-22 13:01:09.612528\n", " \n", " \n", "\n", @@ -1041,10 +1044,10 @@ "text/plain": [ " x y _updated\n", "name \n", - "oseries1 100300 400400 2021-03-15 13:01:10.788424" + "oseries1 100300 400400 2021-06-22 13:01:09.612528" ] }, - "execution_count": 27, + "execution_count": 29, "metadata": {}, "output_type": "execute_result" } @@ -1055,7 +1058,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 30, "metadata": {}, "outputs": [ { @@ -1094,18 +1097,18 @@ " \n", " \n", " \n", - " prec1\n", + " evap1\n", " 100300.0\n", " 400400.0\n", - " prec\n", - " 2021-03-15 13:01:10.831029\n", + " evap\n", + " 2021-06-22 13:01:10.973078\n", " \n", " \n", - " evap1\n", + " prec1\n", " 100300.0\n", " 400400.0\n", - " evap\n", - " 2021-03-15 13:01:10.864563\n", + " prec\n", + " 2021-06-22 13:01:10.946286\n", " \n", " \n", "\n", @@ -1114,11 +1117,11 @@ "text/plain": [ " x y kind _updated\n", "name \n", - "prec1 100300.0 400400.0 prec 2021-03-15 13:01:10.831029\n", - "evap1 100300.0 400400.0 evap 2021-03-15 13:01:10.864563" + "evap1 100300.0 400400.0 evap 2021-06-22 13:01:10.973078\n", + "prec1 100300.0 400400.0 prec 2021-06-22 13:01:10.946286" ] }, - "execution_count": 28, + "execution_count": 30, "metadata": {}, "output_type": "execute_result" } @@ -1148,7 +1151,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 31, "metadata": {}, "outputs": [ { @@ -1166,7 +1169,7 @@ "Model(oseries=oseries1, name=oseries1, constant=True, noisemodel=True)" ] }, - "execution_count": 29, + "execution_count": 31, "metadata": {}, "output_type": "execute_result" } @@ -1190,7 +1193,7 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 32, "metadata": {}, "outputs": [], "source": [ @@ -1210,7 +1213,7 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 33, "metadata": {}, "outputs": [ { @@ -1228,7 +1231,7 @@ "Model(oseries=oseries1, name=oseries1, constant=True, noisemodel=True)" ] }, - "execution_count": 31, + "execution_count": 33, "metadata": {}, "output_type": "execute_result" } @@ -1249,7 +1252,7 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 34, "metadata": {}, "outputs": [ { @@ -1258,7 +1261,7 @@ "{'oseries1'}" ] }, - "execution_count": 32, + "execution_count": 34, "metadata": {}, "output_type": "execute_result" } @@ -1278,7 +1281,7 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 35, "metadata": {}, "outputs": [], "source": [ @@ -1294,7 +1297,7 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 36, "metadata": {}, "outputs": [ { @@ -1304,7 +1307,7 @@ " - 'my_second_connector': 1 oseries, 2 stresses, 0 models" ] }, - "execution_count": 34, + "execution_count": 36, "metadata": {}, "output_type": "execute_result" } @@ -1315,7 +1318,7 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 37, "metadata": {}, "outputs": [ { @@ -1324,7 +1327,7 @@ "set()" ] }, - "execution_count": 35, + "execution_count": 37, "metadata": {}, "output_type": "execute_result" } @@ -1351,7 +1354,7 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 38, "metadata": {}, "outputs": [], "source": [ @@ -1361,12 +1364,14 @@ " \"y\": 400000})\n", "\n", "# prec 2\n", - "s = pd.read_csv(os.path.join(datadir, \"rain.csv\"), index_col=0, parse_dates=True)\n", + "s = pd.read_csv(os.path.join(datadir, \"rain.csv\"),\n", + " index_col=0, parse_dates=True)\n", "store.add_stress(s, \"prec2\", kind=\"prec\", metadata={\"x\": 100000,\n", " \"y\": 400000})\n", "\n", "# evap 2\n", - "s = pd.read_csv(os.path.join(datadir, \"evap.csv\"), index_col=0, parse_dates=True)\n", + "s = pd.read_csv(os.path.join(datadir, \"evap.csv\"),\n", + " index_col=0, parse_dates=True)\n", "store.add_stress(s, \"evap2\", kind=\"evap\", metadata={\"x\": 100000,\n", " \"y\": 400000})" ] @@ -1380,7 +1385,7 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 39, "metadata": {}, "outputs": [ { @@ -1390,7 +1395,7 @@ " - 'my_second_connector': 2 oseries, 4 stresses, 0 models" ] }, - "execution_count": 37, + "execution_count": 39, "metadata": {}, "output_type": "execute_result" } @@ -1415,7 +1420,7 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 40, "metadata": {}, "outputs": [], "source": [ @@ -1425,14 +1430,14 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 41, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "Bulk creation models: 100%|██████████| 2/2 [00:01<00:00, 1.14it/s]\n" + "Bulk creation models: 100%|██████████| 2/2 [00:01<00:00, 1.10it/s]\n" ] } ], @@ -1453,7 +1458,7 @@ }, { "cell_type": "code", - "execution_count": 40, + "execution_count": 42, "metadata": {}, "outputs": [ { @@ -1463,7 +1468,7 @@ " - 'my_second_connector': 2 oseries, 4 stresses, 2 models" ] }, - "execution_count": 40, + "execution_count": 42, "metadata": {}, "output_type": "execute_result" } @@ -1474,14 +1479,14 @@ }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 43, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "Solving models: 100%|██████████| 2/2 [00:01<00:00, 1.24it/s]\n" + "Solving models: 100%|██████████| 2/2 [00:01<00:00, 1.27it/s]\n" ] } ], @@ -1498,7 +1503,7 @@ }, { "cell_type": "code", - "execution_count": 42, + "execution_count": 44, "metadata": {}, "outputs": [ { @@ -1532,22 +1537,22 @@ " \n", " \n", " \n", - " oseries1\n", - " 682.471157\n", - " 1.018207\n", - " 150.381082\n", - " -1.271035\n", - " 27.882267\n", - " 50.095279\n", + " oseries2\n", + " 601.949895\n", + " 1.019936\n", + " 143.387453\n", + " -1.373348\n", + " 28.043461\n", + " 69.749209\n", " \n", " \n", - " oseries2\n", - " 601.962133\n", - " 1.019942\n", - " 143.386496\n", - " -1.373330\n", - " 28.043447\n", - " 69.749285\n", + " oseries1\n", + " 682.471697\n", + " 1.018208\n", + " 150.380829\n", + " -1.271033\n", + " 27.882265\n", + " 50.095304\n", " \n", " \n", "\n", @@ -1555,15 +1560,15 @@ ], "text/plain": [ " recharge_A recharge_n recharge_a recharge_f constant_d \\\n", - "oseries1 682.471157 1.018207 150.381082 -1.271035 27.882267 \n", - "oseries2 601.962133 1.019942 143.386496 -1.373330 28.043447 \n", + "oseries2 601.949895 1.019936 143.387453 -1.373348 28.043461 \n", + "oseries1 682.471697 1.018208 150.380829 -1.271033 27.882265 \n", "\n", " noise_alpha \n", - "oseries1 50.095279 \n", - "oseries2 69.749285 " + "oseries2 69.749209 \n", + "oseries1 50.095304 " ] }, - "execution_count": 42, + "execution_count": 44, "metadata": {}, "output_type": "execute_result" } @@ -1575,7 +1580,7 @@ }, { "cell_type": "code", - "execution_count": 43, + "execution_count": 45, "metadata": {}, "outputs": [ { @@ -1605,14 +1610,14 @@ " \n", " \n", " \n", - " oseries1\n", - " 92.915066\n", - " 0.114456\n", + " oseries2\n", + " 88.254506\n", + " 0.127012\n", " \n", " \n", - " oseries2\n", - " 88.478835\n", - " 0.126184\n", + " oseries1\n", + " 92.904623\n", + " 0.114492\n", " \n", " \n", "\n", @@ -1620,11 +1625,11 @@ ], "text/plain": [ " evp rmse\n", - "oseries1 92.915066 0.114456\n", - "oseries2 88.478835 0.126184" + "oseries2 88.254506 0.127012\n", + "oseries1 92.904623 0.114492" ] }, - "execution_count": 43, + "execution_count": 45, "metadata": {}, "output_type": "execute_result" } @@ -1645,7 +1650,7 @@ }, { "cell_type": "code", - "execution_count": 44, + "execution_count": 46, "metadata": {}, "outputs": [ { @@ -1653,9 +1658,9 @@ "output_type": "stream", "text": [ "Deleting ArcticConnector database: 'my_connector' ...\n", - " - deleted: my_connector.oseries\n", - " - deleted: my_connector.stresses\n", " - deleted: my_connector.models\n", + " - deleted: my_connector.stresses\n", + " - deleted: my_connector.oseries\n", "... Done!\n" ] } @@ -1666,7 +1671,7 @@ }, { "cell_type": "code", - "execution_count": 45, + "execution_count": 47, "metadata": {}, "outputs": [ { @@ -1683,7 +1688,7 @@ }, { "cell_type": "code", - "execution_count": 46, + "execution_count": 48, "metadata": {}, "outputs": [ { From 238e431504ee9832f6655649abbc0d608d58d10c Mon Sep 17 00:00:00 2001 From: Raoul Collenteur Date: Tue, 22 Jun 2021 16:17:04 +0200 Subject: [PATCH 03/41] Force names of series to be strings Fix enhancement #39 --- pastastore/base.py | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/pastastore/base.py b/pastastore/base.py index 160b7089..e1175698 100644 --- a/pastastore/base.py +++ b/pastastore/base.py @@ -786,7 +786,7 @@ def _parse_model_dict(self, mdict: dict, """ # oseries if 'series' not in mdict['oseries']: - name = mdict["oseries"]['name'] + name = str(mdict["oseries"]['name']) if name not in self.oseries.index: msg = 'oseries {} not present in project'.format(name) raise LookupError(msg) @@ -803,7 +803,7 @@ def _parse_model_dict(self, mdict: dict, if "stress" in ts.keys(): for stress in ts["stress"]: if 'series' not in stress: - name = stress['name'] + name = str(stress['name']) if name in self.stresses.index: stress['series'] = self.get_stresses(name) # update tmin/tmax from timeseries @@ -817,7 +817,7 @@ def _parse_model_dict(self, mdict: dict, if ("prec" in ts.keys()) and ("evap" in ts.keys()): for stress in [ts["prec"], ts["evap"]]: if 'series' not in stress: - name = stress['name'] + name = str(stress['name']) if name in self.stresses.index: stress['series'] = self.get_stresses(name) # update tmin/tmax from timeseries @@ -926,7 +926,7 @@ def _check_oseries_in_store(self, ml: Union[ps.Model, dict]): if isinstance(ml, ps.Model): name = ml.oseries.name elif isinstance(ml, dict): - name = ml["oseries"]["name"] + name = str(ml["oseries"]["name"]) else: raise TypeError("Expected pastas.Model or dict!") if name not in self.oseries.index: From 3f57da7c02d6589669db28fe8d16e5794ad24909 Mon Sep 17 00:00:00 2001 From: OnnoEbbens Date: Fri, 30 Jul 2021 12:22:00 +0200 Subject: [PATCH 04/41] minor textual changes --- ...ex02_introduction_to_pastastore_databases.ipynb | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/examples/notebooks/ex02_introduction_to_pastastore_databases.ipynb b/examples/notebooks/ex02_introduction_to_pastastore_databases.ipynb index bd59769a..54aa3b37 100644 --- a/examples/notebooks/ex02_introduction_to_pastastore_databases.ipynb +++ b/examples/notebooks/ex02_introduction_to_pastastore_databases.ipynb @@ -236,9 +236,9 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### [2.2 PasConnector](#top)\n", + "### [2.3 PasConnector](#top)\n", "\n", - "The PystoreConnector requires the path to the directory containing the stores and a name for the connector. If the store already exists, pystore will link to that existing store. In this case we're creating a new store." + "The PasConnector requires the path to a directory and a name for the connector. Data is stored in JSON files in the given directory." ] }, { @@ -281,7 +281,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Let's take a look at `conn2`. This shows us how many oseries, stresses and models are contained in the store:" + "Let's take a look at `conn3`. This shows us how many oseries, stresses and models are contained in the store:" ] }, { @@ -308,7 +308,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### [2.3 Database structure](#top)\n", + "### [2.4 Database structure](#top)\n", "\n", "Regardless of the type of Connector that is used, the database/store contains 3 libraries or collections. Each of these contains specific data related to the project. The three libraries are:\n", "- oseries\n", @@ -1713,9 +1713,9 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "dev", "language": "python", - "name": "python3" + "name": "dev" }, "language_info": { "codemirror_mode": { @@ -1727,7 +1727,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.6" + "version": "3.9.4" }, "toc-showtags": false }, From 9b767999a565e11d342ca2cdea525d86de3c09d8 Mon Sep 17 00:00:00 2001 From: OnnoEbbens Date: Fri, 30 Jul 2021 13:48:27 +0200 Subject: [PATCH 05/41] force PasConnector to only look for .pas files, otherwise the desktop.ini files of my file system are not excluded --- pastastore/connectors.py | 8 +++++--- 1 file changed, 5 insertions(+), 3 deletions(-) diff --git a/pastastore/connectors.py b/pastastore/connectors.py index 2776bffb..71638334 100644 --- a/pastastore/connectors.py +++ b/pastastore/connectors.py @@ -677,16 +677,18 @@ def _get_metadata(self, libname: str, name: str) -> dict: def oseries_names(self): """List of oseries names.""" lib = self._get_library("oseries") - return [i[:-4] for i in os.listdir(lib) if not i.endswith("_meta.pas")] + return [i[:-4] for i in os.listdir(lib) + if i.endswith('.pas') if not i.endswith("_meta.pas")] @property def stresses_names(self): """List of stresses names.""" lib = self._get_library("stresses") - return [i[:-4] for i in os.listdir(lib) if not i.endswith("_meta.pas")] + return [i[:-4] for i in os.listdir(lib) + if i.endswith('.pas') if not i.endswith("_meta.pas")] @property def model_names(self): """List of model names.""" lib = self._get_library("models") - return [i[:-4] for i in os.listdir(lib)] + return [i[:-4] for i in os.listdir(lib) if i.endswith('.pas')] From 3254b5546378bd8627e3e46cca92d87a47c5a0b2 Mon Sep 17 00:00:00 2001 From: dbrakenhoff Date: Fri, 13 Aug 2021 14:04:08 +0200 Subject: [PATCH 06/41] PasConnector missing metadata bug, fixes #42 --- pastastore/connectors.py | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/pastastore/connectors.py b/pastastore/connectors.py index 2776bffb..4277a60a 100644 --- a/pastastore/connectors.py +++ b/pastastore/connectors.py @@ -670,7 +670,10 @@ def _get_metadata(self, libname: str, name: str) -> dict: """ lib = self._get_library(libname) mjson = os.path.join(lib, f"{name}_meta.pas") - imeta = self._metadata_from_json(mjson) + if os.path.isfile(mjson): + imeta = self._metadata_from_json(mjson) + else: + imeta = {} return imeta @property From 92ac69ad2ed7998f5b24ac1ebca11524394edfe9 Mon Sep 17 00:00:00 2001 From: dbrakenhoff Date: Fri, 13 Aug 2021 14:04:53 +0200 Subject: [PATCH 07/41] register properties separately in pastastore object --- pastastore/store.py | 50 +++++++++++++++++++++++++++++++++------------ 1 file changed, 37 insertions(+), 13 deletions(-) diff --git a/pastastore/store.py b/pastastore/store.py index 07e194f2..c83601e7 100644 --- a/pastastore/store.py +++ b/pastastore/store.py @@ -56,6 +56,42 @@ def _register_connector_methods(self): for meth in methods: setattr(self, meth, getattr(self.conn, meth)) + @property + def oseries(self): + return self.conn.oseries + + @property + def stresses(self): + return self.conn.stresses + + @property + def models(self): + return self.conn.models + + @property + def oseries_names(self): + return self.conn.oseries_names + + @property + def stresses_names(self): + return self.conn.stresses_names + + @property + def model_names(self): + return self.conn.model_names + + @property + def n_oseries(self): + return self.conn.n_oseries + + @property + def n_stresses(self): + return self.conn.n_stresses + + @property + def n_models(self): + return self.conn.n_models + def __repr__(self): """Representation string of the object.""" return f" {self.name}: \n - " + self.conn.__str__() @@ -697,7 +733,7 @@ def export_model_series_to_csv(self, pd.concat(metalist, axis=0).to_csv( os.path.join(exportdir, f"metadata_{name}.csv")) - @ classmethod + @classmethod def from_zip(cls, fname: str, conn, storename: Optional[str] = None, progressbar: bool = True): """Load PastaStore from zipfile. @@ -740,15 +776,3 @@ def from_zip(cls, fname: str, conn, storename: Optional[str] = None, progressbar if storename is None: storename = conn.name return cls(storename, conn) - - @ property - def oseries(self): - return self.conn.oseries - - @ property - def stresses(self): - return self.conn.stresses - - @ property - def models(self): - return self.conn.models From beb75cb3ab2bb942312ebded58deaf33eac7b2f2 Mon Sep 17 00:00:00 2001 From: dbrakenhoff Date: Fri, 13 Aug 2021 14:05:06 +0200 Subject: [PATCH 08/41] autopep8 --- pastastore/base.py | 48 ++++++++++++++++++++++++---------------------- 1 file changed, 25 insertions(+), 23 deletions(-) diff --git a/pastastore/base.py b/pastastore/base.py index e1175698..5185ae09 100644 --- a/pastastore/base.py +++ b/pastastore/base.py @@ -661,38 +661,38 @@ def get_models(self, names: Union[list, str], return_dict: bool = False, else: return models - @staticmethod + @ staticmethod def _clear_cache(libname: str) -> None: """Clear cached property.""" getattr(BaseConnector, libname).fget.cache_clear() - @property # type: ignore - @functools.lru_cache() + @ property # type: ignore + @ functools.lru_cache() def oseries(self): """Dataframe with overview of oseries.""" return self.get_metadata("oseries", self.oseries_names) - @property # type: ignore - @functools.lru_cache() + @ property # type: ignore + @ functools.lru_cache() def stresses(self): """Dataframe with overview of stresses.""" return self.get_metadata("stresses", self.stresses_names) - @property # type: ignore - @functools.lru_cache() + @ property # type: ignore + @ functools.lru_cache() def models(self): """List of model names.""" return self.model_names - @property + @ property def n_oseries(self): return len(self.oseries_names) - @property + @ property def n_stresses(self): return len(self.stresses_names) - @property + @ property def n_models(self): return len(self.model_names) @@ -733,7 +733,7 @@ def _parse_names(self, names: Optional[Union[list, str]] = None, else: raise NotImplementedError(f"Cannot parse 'names': {names}") - @staticmethod + @ staticmethod def _meta_list_to_frame(metalist: list, names: list): """Convert list of metadata dictionaries to DataFrame. @@ -793,10 +793,8 @@ def _parse_model_dict(self, mdict: dict, mdict['oseries']['series'] = self.get_oseries(name) # update tmin/tmax from timeseries if update_ts_settings: - mdict["oseries"]["settings"]["tmin"] = \ - mdict['oseries']['series'].index[0] - mdict["oseries"]["settings"]["tmax"] = \ - mdict['oseries']['series'].index[-1] + mdict["oseries"]["settings"]["tmin"] = mdict['oseries']['series'].index[0] + mdict["oseries"]["settings"]["tmax"] = mdict['oseries']['series'].index[-1] # StressModel, StressModel2, WellModel for ts in mdict["stressmodels"].values(): @@ -808,10 +806,8 @@ def _parse_model_dict(self, mdict: dict, stress['series'] = self.get_stresses(name) # update tmin/tmax from timeseries if update_ts_settings: - stress["settings"]["tmin"] = \ - stress['series'].index[0] - stress["settings"]["tmax"] = \ - stress['series'].index[-1] + stress["settings"]["tmin"] = stress['series'].index[0] + stress["settings"]["tmax"] = stress['series'].index[-1] # RechargeModel if ("prec" in ts.keys()) and ("evap" in ts.keys()): @@ -822,14 +818,20 @@ def _parse_model_dict(self, mdict: dict, stress['series'] = self.get_stresses(name) # update tmin/tmax from timeseries if update_ts_settings: - stress["settings"]["tmin"] = \ - stress['series'].index[0] - stress["settings"]["tmax"] = \ - stress['series'].index[-1] + stress["settings"]["tmin"] = stress['series'].index[0] + stress["settings"]["tmax"] = stress['series'].index[-1] else: msg = "stress '{}' not present in project".format( name) raise KeyError(msg) + # hack for pcov w dtype object (when filled with NaNs on store?) + if "fit" in mdict: + if "pcov" in mdict["fit"]: + pcov = mdict["fit"]["pcov"] + if pcov.dtypes.apply( + lambda dtyp: isinstance(dtyp, object)).any(): + mdict["fit"]["pcov"] = pcov.astype(float) + try: # pastas>=0.15.0 ml = ps.io.base._load_model(mdict) From cfcd96776242b95443d9bff955c10db001af93d8 Mon Sep 17 00:00:00 2001 From: dbrakenhoff Date: Fri, 13 Aug 2021 14:05:34 +0200 Subject: [PATCH 09/41] improve test for pastastore properties --- tests/test_003_pastastore.py | 16 +++++++++++++++- 1 file changed, 15 insertions(+), 1 deletion(-) diff --git a/tests/test_003_pastastore.py b/tests/test_003_pastastore.py index 1b5acf34..99b0121c 100644 --- a/tests/test_003_pastastore.py +++ b/tests/test_003_pastastore.py @@ -1,6 +1,7 @@ import os import warnings +import pandas as pd import pastas as ps import pytest from numpy import allclose @@ -19,9 +20,22 @@ def test_create_model(pstore): @pytest.mark.dependency() def test_properties(pstore): + + pstore.add_oseries(pd.Series(), "deleteme") + pstore.add_stress(pd.Series(), "deleteme", kind="useless") + _ = pstore.oseries _ = pstore.stresses _ = pstore.models + + try: + assert pstore.n_oseries == pstore.conn.n_oseries + assert pstore.n_stresses == pstore.conn.n_stresses + + finally: + pstore.del_oseries("deleteme") + pstore.del_stress("deleteme") + return @@ -139,7 +153,7 @@ def test_copy_dbase(pstore): def test_to_from_zip(pstore): zipname = f"test_{pstore.type}.zip" - pstore.to_zip(zipname, progressbar=False) + pstore.to_zip(zipname, progressbar=False, overwrite=True) conn = pst.DictConnector("test") try: store = pst.PastaStore.from_zip(zipname, conn) From dc0fad9527f3a383beb767af78ebef7f8c6cafb8 Mon Sep 17 00:00:00 2001 From: dbrakenhoff Date: Fri, 20 Aug 2021 13:09:56 +0200 Subject: [PATCH 10/41] add support for emptying pasconnector libraries --- pastastore/util.py | 21 ++++++++++++++++++--- 1 file changed, 18 insertions(+), 3 deletions(-) diff --git a/pastastore/util.py b/pastastore/util.py index cee63c2a..c31da254 100644 --- a/pastastore/util.py +++ b/pastastore/util.py @@ -204,6 +204,14 @@ def empty_library(pstore, libname: str, for name in (tqdm(names, desc=f"Deleting items from {libname}") if progressbar else names): _ = lib.pop(name) + elif pstore.conn.conn_type == "pas]": + for name in (tqdm(names, desc=f"Deleting items from {libname}") + if progressbar else names): + pstore.conn._del_item(libname, name) + else: + raise ValueError(f"Connector type '{pstore.conn.conn_type}' " + "not recognized!") + print(f"Emptied library {libname} in {conn.name}: {conn.__class__}") @@ -304,7 +312,12 @@ def compare_models(ml1, ml2, stats=None, detailed_comparison=False): df.loc["- rfunc"] = (sm.rfunc._name if sm.rfunc is not None else "NA") - for ts in sm.stress: + if sm._name == "RechargeModel": + stresses = [sm.prec, sm.evap] + else: + stresses = sm.stress + + for ts in stresses: df.loc[f"- timeseries: '{ts.name}'"] = ts.name for tsk in ts.settings.keys(): df.loc[f" - {ts.name} settings: {tsk}"] = ts.settings[tsk] @@ -328,8 +341,10 @@ def compare_models(ml1, ml2, stats=None, detailed_comparison=False): counter += 1 for p in ml.parameters.index: - df.loc[f"param: {p}", f"model {i}"] = \ - ml.parameters.loc[p, "optimal"] + df.loc[f"param: {p} (init)", f"model {i}"] = \ + ml.parameters.loc[p, "initial"] + df.loc[f"param: {p} (opt)", f"model {i}"] = \ + ml.parameters.loc[p, "initial"] if stats: stats_df = ml.stats.summary(stats=stats) From c9dd9bf4ec3ee26e97863991a968485753320567 Mon Sep 17 00:00:00 2001 From: dbrakenhoff Date: Tue, 24 Aug 2021 16:36:21 +0200 Subject: [PATCH 11/41] add python 3.8, and 3.9 testing --- .github/workflows/ci.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index 5edffbae..558bf1ce 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -17,7 +17,7 @@ jobs: runs-on: ubuntu-latest strategy: matrix: - python-version: [3.7] + python-version: [3.7, 3.8, 3.9] services: mongodb: image: mongo:latest From 27bea780c0a9819b6a22d011e53dae29afeb9ee6 Mon Sep 17 00:00:00 2001 From: dbrakenhoff Date: Tue, 24 Aug 2021 16:39:53 +0200 Subject: [PATCH 12/41] add option to check timeseries before adding model - add default attr check_model_series_values - add method to set value of attr - add benchmarking tests for option --- pastastore/base.py | 48 +++++++++++++++++++++++++++++++++++-- pastastore/connectors.py | 4 ++-- tests/test_004_benchmark.py | 31 ++++++++++++++++++++++++ 3 files changed, 79 insertions(+), 4 deletions(-) diff --git a/pastastore/base.py b/pastastore/base.py index 5185ae09..faaf8c7b 100644 --- a/pastastore/base.py +++ b/pastastore/base.py @@ -26,6 +26,9 @@ class that inherits from this BaseConnector. Your class has to """ _default_library_names = ["oseries", "stresses", "models"] + + # whether to check model timeseries contents against stored copies + check_model_series_values = False def __repr__(self): """Representation string of the object.""" @@ -155,6 +158,25 @@ def model_names(self): """ pass + def set_check_model_series_values(self, b: bool): + """Turn check_model_series_values option on (True) or off (False). + + The default option is off. When turned on, the model timeseries + (ml.oseries.series_original, and stressmodel.stress.series_original) + values are checked against the stored copies in the database. If + these do not match, an error is raised, and the model is not added to + the database. This check is somewhat computationally expensive, which + is why it can be turned on or off. + + Parameters + ---------- + b : bool + boolean indicating whether option should be turned on (True) or + off (False). Option is off by default. + """ + self.check_model_series_values = b + print(f"Model timeseries checking set to: {b}.") + def _add_series(self, libname: str, series: FrameorSeriesUnion, name: str, @@ -935,6 +957,13 @@ def _check_oseries_in_store(self, ml: Union[ps.Model, dict]): msg = (f"Cannot add model because oseries '{name}' " "is not contained in store.") raise LookupError(msg) + # expensive check + if self.check_model_series_values: + if ml.oseries.series_original.ne( + self.get_oseries(name).squeeze()).any().all(): + raise ValueError( + f"Cannot add model because model oseries '{name}'" + " is different from stored oseries!") def _check_stresses_in_store(self, ml: Union[ps.Model, dict]): """Internal method, check if stresses timeseries are contained in @@ -956,6 +985,13 @@ def _check_stresses_in_store(self, ml: Union[ps.Model, dict]): msg = (f"Cannot add model because stress '{s.name}' " "is not contained in store.") raise LookupError(msg) + if self.check_model_series_values: + if s.series_original.ne( + self.get_stresses( + s.name).squeeze()).any().all(): + raise ValueError( + f"Cannot add model because model stress " + f"'{s.name}' is different from stored stress!") elif isinstance(ml, dict): for sm in ml["stressmodels"].values(): if sm["stressmodel"] == "RechargeModel": @@ -967,6 +1003,14 @@ def _check_stresses_in_store(self, ml: Union[ps.Model, dict]): msg = (f"Cannot add model because stress '{s['name']}' " "is not contained in store.") raise LookupError(msg) + if self.check_model_series_values: + if s.series_original.ne( + self.get_stresses( + s["name"]).squeeze()).any().all(): + raise ValueError( + "Cannot add model because model stress " + f"'{s['name']}' is different from stored " + "stress!") else: raise TypeError("Expected pastas.Model or dict!") @@ -1092,7 +1136,7 @@ def _models_to_archive(self, archive, names=None, progressbar=True): jsondict = json.dumps(m, cls=PastasEncoder, indent=4) archive.writestr(f"models/{n}.pas", jsondict) - @staticmethod + @ staticmethod def _series_from_json(fjson: str): """Load timeseries from JSON. @@ -1112,7 +1156,7 @@ def _series_from_json(fjson: str): s = s.sort_index() # needed for some reason ... return s - @staticmethod + @ staticmethod def _metadata_from_json(fjson: str): """Load metadata dictionary from JSON. diff --git a/pastastore/connectors.py b/pastastore/connectors.py index 548bd755..d55619d8 100644 --- a/pastastore/connectors.py +++ b/pastastore/connectors.py @@ -680,14 +680,14 @@ def _get_metadata(self, libname: str, name: str) -> dict: def oseries_names(self): """List of oseries names.""" lib = self._get_library("oseries") - return [i[:-4] for i in os.listdir(lib) + return [i[:-4] for i in os.listdir(lib) if i.endswith('.pas') if not i.endswith("_meta.pas")] @property def stresses_names(self): """List of stresses names.""" lib = self._get_library("stresses") - return [i[:-4] for i in os.listdir(lib) + return [i[:-4] for i in os.listdir(lib) if i.endswith('.pas') if not i.endswith("_meta.pas")] @property diff --git a/tests/test_004_benchmark.py b/tests/test_004_benchmark.py index f6a72214..21dcfa6c 100644 --- a/tests/test_004_benchmark.py +++ b/tests/test_004_benchmark.py @@ -150,6 +150,37 @@ def test_benchmark_write_model_arctic(benchmark): _ = benchmark(write_model, conn=conn, ml=ml) return +# %% + +def write_model_checkts(conn, ml): + conn.check_model_series_values = True + conn.add_model(ml, overwrite=True) + + +@pytest.mark.benchmark(group="write_model") +def test_benchmark_write_model_checkts_pas(benchmark): + conn = pst.PasConnector("test", "./tests/data/pas") + ml = build_model(conn) + _ = benchmark(write_model_checkts, conn=conn, ml=ml) + return + + +@pytest.mark.benchmark(group="write_model") +def test_benchmark_write_model_checkts_pystore(benchmark): + path = "./tests/data/pystore" + conn = pst.PystoreConnector("test", path) + ml = build_model(conn) + _ = benchmark(write_model_checkts, conn=conn, ml=ml) + return + + +@pytest.mark.benchmark(group="write_model") +def test_benchmark_write_model_checkts_arctic(benchmark): + connstr = "mongodb://localhost:27017/" + conn = pst.ArcticConnector("test", connstr) + ml = build_model(conn) + _ = benchmark(write_model_checkts, conn=conn, ml=ml) + return # %% read model From cd82e3217cf6c8811f0e24bdaa39d48c871a57ac Mon Sep 17 00:00:00 2001 From: dbrakenhoff Date: Wed, 25 Aug 2021 13:04:34 +0200 Subject: [PATCH 13/41] 3.9 setup is failing, remove for now --- .github/workflows/ci.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index 558bf1ce..ff3ab834 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -17,7 +17,7 @@ jobs: runs-on: ubuntu-latest strategy: matrix: - python-version: [3.7, 3.8, 3.9] + python-version: [3.7, 3.8] services: mongodb: image: mongo:latest From ceecb0a31583268daead44792174ae9d14159d8d Mon Sep 17 00:00:00 2001 From: dbrakenhoff Date: Wed, 25 Aug 2021 13:10:48 +0200 Subject: [PATCH 14/41] whitespace --- pastastore/base.py | 16 ++++++++-------- 1 file changed, 8 insertions(+), 8 deletions(-) diff --git a/pastastore/base.py b/pastastore/base.py index faaf8c7b..c431969d 100644 --- a/pastastore/base.py +++ b/pastastore/base.py @@ -26,7 +26,7 @@ class that inherits from this BaseConnector. Your class has to """ _default_library_names = ["oseries", "stresses", "models"] - + # whether to check model timeseries contents against stored copies check_model_series_values = False @@ -161,17 +161,17 @@ def model_names(self): def set_check_model_series_values(self, b: bool): """Turn check_model_series_values option on (True) or off (False). - The default option is off. When turned on, the model timeseries - (ml.oseries.series_original, and stressmodel.stress.series_original) - values are checked against the stored copies in the database. If - these do not match, an error is raised, and the model is not added to - the database. This check is somewhat computationally expensive, which - is why it can be turned on or off. + The default option is off. When turned on, the model timeseries + (ml.oseries.series_original, and stressmodel.stress.series_original) + values are checked against the stored copies in the database. If + these do not match, an error is raised, and the model is not added to + the database. This check is somewhat computationally expensive, which + is why it can be turned on or off. Parameters ---------- b : bool - boolean indicating whether option should be turned on (True) or + boolean indicating whether option should be turned on (True) or off (False). Option is off by default. """ self.check_model_series_values = b From 40dc298c944fad9f6dfa3c971a57ae6031945c13 Mon Sep 17 00:00:00 2001 From: dbrakenhoff Date: Wed, 25 Aug 2021 13:12:13 +0200 Subject: [PATCH 15/41] whitespace? --- pastastore/store.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/pastastore/store.py b/pastastore/store.py index c83601e7..f39ce8b6 100644 --- a/pastastore/store.py +++ b/pastastore/store.py @@ -21,8 +21,8 @@ class PastaStore: Requires a Connector object to provide the interface to the database. Different Connectors are available, e.g.: - - ArcticConnector for saving data to MongoDB using the Arctic module - - PystoreConnector for saving data to disk using the Pystore module + - ArcticConnector for saving data to MongoDB using the Arctic module + - PystoreConnector for saving data to disk using the Pystore module Parameters ---------- From 4f00f734d73afcd8764fa8e706540bb3a3db9a1f Mon Sep 17 00:00:00 2001 From: dbrakenhoff Date: Wed, 25 Aug 2021 13:15:29 +0200 Subject: [PATCH 16/41] whitespace --- tests/test_003_pastastore.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/tests/test_003_pastastore.py b/tests/test_003_pastastore.py index 99b0121c..2e40141d 100644 --- a/tests/test_003_pastastore.py +++ b/tests/test_003_pastastore.py @@ -20,7 +20,7 @@ def test_create_model(pstore): @pytest.mark.dependency() def test_properties(pstore): - + pstore.add_oseries(pd.Series(), "deleteme") pstore.add_stress(pd.Series(), "deleteme", kind="useless") @@ -31,7 +31,7 @@ def test_properties(pstore): try: assert pstore.n_oseries == pstore.conn.n_oseries assert pstore.n_stresses == pstore.conn.n_stresses - + finally: pstore.del_oseries("deleteme") pstore.del_stress("deleteme") From 3e2c40c4290372e4ae39653581ba493172cb63a1 Mon Sep 17 00:00:00 2001 From: dbrakenhoff Date: Wed, 25 Aug 2021 13:15:33 +0200 Subject: [PATCH 17/41] whitespace --- tests/test_004_benchmark.py | 1 + 1 file changed, 1 insertion(+) diff --git a/tests/test_004_benchmark.py b/tests/test_004_benchmark.py index 21dcfa6c..1c16fb6d 100644 --- a/tests/test_004_benchmark.py +++ b/tests/test_004_benchmark.py @@ -152,6 +152,7 @@ def test_benchmark_write_model_arctic(benchmark): # %% + def write_model_checkts(conn, ml): conn.check_model_series_values = True conn.add_model(ml, overwrite=True) From 3dd618da2360f60ea369b950a93154f716c83659 Mon Sep 17 00:00:00 2001 From: dbrakenhoff Date: Fri, 27 Aug 2021 18:09:05 +0200 Subject: [PATCH 18/41] add Plots and Maps classes - Plots for plotting timeseries and data availability - Maps for plotting locations and adding a backgroundmap --- pastastore/plotting.py | 871 +++++++++++++++++++++++++++++++++++++++++ 1 file changed, 871 insertions(+) create mode 100644 pastastore/plotting.py diff --git a/pastastore/plotting.py b/pastastore/plotting.py new file mode 100644 index 00000000..0a2bd5ed --- /dev/null +++ b/pastastore/plotting.py @@ -0,0 +1,871 @@ +"""This module contains all the plotting methods for PastaStore. + +Pastastore comes with a number helpful plotting methods to quickly +visualize timeseries or the locations of the timeseries contained in the +store. Plotting timeseries or data availability is available through the +`plots` attribute of the PastaStore object. Plotting locations of timeseries +or model statistics on maps is available through the `maps` attribute. +For example, if we have a :class:`pastastore.PastaStore` called `pstore` +linking to an existing database, the plot and map methods are available as +follows:: + + pstore.plots.oseries() + + ax = pstore.maps.oseries() + pstore.maps.add_background_map(ax) # for adding a background map +""" +import matplotlib as mpl +import matplotlib.pyplot as plt +import numpy as np +import pandas as pd +import pastas as ps +from matplotlib import patheffects + + +class Plots: + """Plot class for Pastastore. + + Allows plotting of timeseries and data availability. + """ + + def __init__(self, pstore): + """Initialize Plots class for Pastastore. + + Parameters + ---------- + pstore : pastastore.Pastastore + Pastastore object + """ + self.pstore = pstore + + def _timeseries(self, libname, names=None, ax=None, split=False, + figsize=(10, 5), progressbar=True, **kwargs): + """Internal method to plot timeseries from pastastore. + + Parameters + ---------- + libname : str + name of the library to obtain timeseries from (oseries + or stresses) + names : list of str, optional + list of timeseries names to plot, by default None + ax : matplotlib.Axes, optional + pass axes object to plot on existing axes, by default None, + which creates a new figure + split : bool, optional + create a separate subplot for each timeseries, by default False. + A maximum of 20 timeseries is supported when split=True. + figsize : tuple, optional + figure size, by default (10, 5) + progressbar : bool, optional + show progressbar when loading timeseries from store, + by default True + + Returns + ------- + ax : matplotlib.Axes + axes handle + + Raises + ------ + ValueError + split=True is only supported if there are less than 20 timeseries + to plot. + """ + names = self.pstore.conn._parse_names(names, libname) + + if len(names) > 20 and split: + raise ValueError("More than 20 timeseries leads to too many " + "subplots, set split=False.") + + if ax is None: + if split: + fig, axes = plt.subplots(len(names), 1, sharex=True, + figsize=figsize) + else: + fig, axes = plt.subplots(1, 1, figsize=figsize) + else: + axes = ax + + tsdict = self.pstore.conn._get_series(libname, names, + progressbar=progressbar, + squeeze=False) + for i, (n, ts) in enumerate(tsdict.items()): + if split and ax is None: + iax = axes[i] + elif ax is None: + iax = axes + else: + iax = ax + iax.plot(ts.index, ts, label=n, **kwargs) + if split: + iax.legend(loc='best', fontsize="x-small") + + if not split: + axes.legend(loc=(0, 1), frameon=False, ncol=8, fontsize="x-small") + + fig.tight_layout() + return axes + + def oseries(self, names=None, ax=None, split=False, + figsize=(10, 5), **kwargs): + """Plot oseries. + + Parameters + ---------- + names : list of str, optional + list of oseries names to plot, by default None, which loads + all oseries from store + ax : matplotlib.Axes, optional + pass axes object to plot oseries on existing figure, + by default None, in which case a new figure is created + split : bool, optional + create a separate subplot for each timeseries, by default False. + A maximum of 20 timeseries is supported when split=True. + figsize : tuple, optional + figure size, by default (10, 5) + + Returns + ------- + ax : matplotlib.Axes + axes handle + """ + return self._timeseries("oseries", names=names, ax=ax, + split=split, figsize=figsize, **kwargs) + + def stresses(self, names=None, kind=None, ax=None, split=False, + figsize=(10, 5), **kwargs): + """Plot stresses. + + Parameters + ---------- + names : list of str, optional + list of oseries names to plot, by default None, which loads + all oseries from store + kind : str, optional + only plot stresses of a certain kind, by default None, which + includes all stresses + ax : matplotlib.Axes, optional + pass axes object to plot oseries on existing figure, + by default None, in which case a new figure is created + split : bool, optional + create a separate subplot for each timeseries, by default False. + A maximum of 20 timeseries is supported when split=True. + figsize : tuple, optional + figure size, by default (10, 5) + + Returns + ------- + ax : matplotlib.Axes + axes handle + """ + names = self.pstore.conn._parse_names(names, "stresses") + masknames = self.pstore.stresses.index.isin(names) + stresses = self.pstore.stresses.loc[masknames] + + if kind: + mask = stresses["kind"] == kind + names = stresses.loc[mask].index.to_list() + + return self._timeseries("stresses", names=names, ax=ax, + split=split, figsize=figsize, **kwargs) + + def data_availability(self, libname, names=None, kind=None, + intervals=None, + ignore=['second', 'minute', '14 days'], + normtype='log', cmap='viridis_r', + set_yticks=False, figsize=(10, 8), + progressbar=True, **kwargs): + """Plot the data-availability for multiple timeseries. + + Parameters + ---------- + libname : str + name of library to get timeseries from (oseries or stresses) + names : list, optional + specify names in a list to plot data availability for certain + timeseries + kind : str, optional + if library is stresses, kind can be specified to obtain only + stresses of a specific kind + intervals: dict, optional + A dict with frequencies as keys and number of seconds as values + ignore : list, optional + A list with frequencies in intervals to ignore + normtype : str, optional + Determines the type of color normalisations, default is 'log' + cmap : str, optional + A reference to a matplotlib colormap + set_yticks : bool, optional + Set the names of the series as yticks + figsize : tuple, optional + The size of the new figure in inches (h,v) + progressbar : bool + show progressbar + kwargs : dict, optional + Extra arguments are passed to matplotlib.pyplot.subplots() + + Returns + ------- + ax : matplotlib Axes + The axes in which the data-availability is plotted + + """ + names = self.pstore.conn._parse_names(names, libname) + + if libname == "stresses": + masknames = self.pstore.stresses.index.isin(names) + stresses = self.pstore.stresses.loc[masknames] + if kind: + mask = stresses["kind"] == kind + names = stresses.loc[mask].index.to_list() + + series = self.pstore.conn._get_series( + libname, names, progressbar=progressbar, squeeze=False).values() + + # a good colormap is cmap='RdYlGn_r' or 'cubehelix' + f, ax = plt.subplots(figsize=figsize, **kwargs) + ax.invert_yaxis() + if intervals is None: + intervals = {'second': 1, + 'minute': 60, + 'hour': 60 * 60, + 'day': 60 * 60 * 24, + 'week': 60 * 60 * 24 * 7, + '14 days': 60 * 60 * 24 * 14, + 'month': 60 * 60 * 24 * 31, + 'quarter': 60 * 60 * 24 * 31 * 4, + 'year': 60 * 60 * 24 * 366} + for i in ignore: + if i in intervals: + intervals.pop(i) + + bounds = np.array([intervals[i] for i in intervals]) + bounds = bounds.astype(float) * (10**9) + labels = intervals.keys() + if normtype == 'log': + norm = mpl.colors.LogNorm(vmin=bounds[0], vmax=bounds[-1]) + else: + norm = mpl.colors.BoundaryNorm( + boundaries=bounds, ncolors=256) + cmap = plt.cm.get_cmap(cmap, 256) + cmap.set_over((1., 1., 1.)) + + for i, s in enumerate(series): + if not s.empty: + pc = ax.pcolormesh(s.index, [i, i + 1], + [np.diff(s.index).astype(float)], + norm=norm, cmap=cmap, + linewidth=0, rasterized=True) + # make a colorbar in an ax on the + # right side, then set the current axes to ax again + cb = f.colorbar(pc, ax=ax, extend='both') + cb.set_ticks(bounds) + cb.ax.set_yticklabels(labels) + cb.ax.minorticks_off() + if set_yticks: + ax.set_yticks(np.arange(0.5, len(series) + 0.5)) + ax.set_yticklabels(names) + else: + ax.set_ylabel('Timeseries (-)') + ax.grid() + f.tight_layout(pad=0.0) + return ax + + +class Maps: + """Map Class for PastaStore. + + Allows plotting locations and model statistics on maps. + + Usage + ----- + Example usage of the maps methods:: + + >>> ax = pstore.maps.oseries() # plot oseries locations + >>> pstore.maps.add_background_map(ax) # add background map + """ + + def __init__(self, pstore): + """Initialize Plots class for Pastastore. + + Parameters + ---------- + pstore : pastastore.Pastastore + Pastastore object + """ + self.pstore = pstore + + def stresses(self, kind=None, labels=True, figsize=(10, 8), **kwargs): + """Plot stresses locations on map. + + Parameters + ---------- + kind : str, optional + if passed, only plot stresses of a specific kind, default is None + which plots all stresses. + labels : bool, optional + label models, by default True + figsize : tuple, optional + figure size, by default (10, 8) + + Returns + ------- + ax : matplotlib.Axes + axes object + + See also + -------- + self.add_background_map + """ + + if kind is not None: + mask = self.pstore.stresses["kind"] == kind + stresses = self.pstore.stresses.loc[mask] + else: + stresses = self.pstore.stresses + + mask0 = (stresses["x"] != 0.0) | (stresses["y"] != 0.0) + + ax = self._plotmap_dataframe(stresses.loc[mask0], figsize=figsize, + scatter_kwargs=kwargs) + if labels: + self.add_labels(stresses, ax) + + return ax + + def oseries(self, labels=True, figsize=(10, 8), **kwargs): + """Plot oseries locations on map. + + Parameters + ---------- + labels : bool, optional + label models, by default True + figsize : tuple, optional + figure size, by default (10, 8) + + Returns + ------- + ax : matplotlib.Axes + axes object + + See also + -------- + self.add_background_map + """ + oseries = self.pstore.oseries + mask0 = (oseries["x"] != 0.0) | (oseries["y"] != 0.0) + ax = self._plotmap_dataframe(oseries.loc[mask0], figsize=figsize, + scatter_kwargs=kwargs) + if labels: + self.add_labels(oseries, ax) + + return ax + + def models(self, labels=True, figsize=(10, 8), **kwargs): + """Plot model locations on map. + + Parameters + ---------- + labels : bool, optional + label models, by default True + figsize : tuple, optional + figure size, by default (10, 8) + + Returns + ------- + ax : matplotlib.Axes + axes object + + See also + -------- + self.add_background_map + """ + + model_oseries = [self.pstore.get_models(m, return_dict=True)[ + "oseries"]["name"] for m in self.pstore.model_names] + + models = self.pstore.oseries.loc[model_oseries] + + # mask out 0.0 coordinates + mask0 = (models["x"] != 0.0) | (models["y"] != 0.0) + ax = self._plotmap_dataframe(models.loc[mask0], figsize=figsize, + scatter_kwargs=kwargs) + if labels: + self.add_labels(models, ax) + + return ax + + def modelstat(self, statistic, label=True, cmap="viridis", norm=None, + vmin=None, vmax=None, figsize=(10, 8), **kwargs): + """Plot model statistic on map. + + Parameters + ---------- + statistic : str + name of the statistic, e.g. "evp" or "aic" + label : bool, optional + label points, by default True + cmap : str or colormap, optional + (name of) the colormap, by default "viridis" + norm : norm, optional + normalization for colorbar, by default None + vmin : float, optional + vmin for colorbar, by default None + vmax : float, optional + vmax for colorbar, by default None + figsize : tuple, optional + figuresize, by default (10, 8) + + Returns + ------- + ax : matplotlib.Axes + axes object + + See also + -------- + self.add_background_map + """ + statsdf = self.pstore.get_statistics([statistic], + progressbar=False).to_frame() + + statsdf["oseries"] = [self.pstore.get_models(m, return_dict=True)[ + "oseries"]["name"] for m in statsdf.index] + statsdf = statsdf.reset_index().set_index("oseries") + df = statsdf.join(self.pstore.oseries, how="left") + + scatter_kwargs = { + "cmap": cmap, + "norm": norm, + "vmin": vmin, + "vmax": vmax, + "edgecolors": "w", + "linewidths": 0.7 + } + + scatter_kwargs.update(kwargs) + + ax = self._plotmap_dataframe(df, column=statistic, + scatter_kwargs=scatter_kwargs, + figsize=figsize) + if label: + df.set_index("index", inplace=True) + self.add_labels(df, ax) + return ax + + def _plotmap_dataframe(self, df, x="x", y="y", column=None, + scatter_kwargs=None, + figsize=(10, 8)): + """Internal method for plotting dataframe with point locations. + + Can be called directly for more control over plot characteristics. + + Parameters + ---------- + df : pandas.DataFrame + DataFrame containing coordinates and data to plot, with + index providing names for each location + x : str, optional + name of the column with x-coordinate data, by default "x" + y : str, optional + name of the column with y-coordinate data, by default "y" + column : str, optional + name of the column containing data used for determining the + color of each point, by default None (all one color) + scatter_kwargs : dict, optional + dictionary containing keyword arguments for ax.scatter, + by default None + figsize : tuple, optional + figure size, by default (10, 8) + + Returns + ------- + ax : matplotlib.Axes + axes object + """ + + fig, ax = plt.subplots(figsize=figsize) + + # set default size and marker if not passed + if scatter_kwargs: + s = scatter_kwargs.pop("s", 30) + marker = scatter_kwargs.pop("marker", "o") + else: + s = 30 + marker = "o" + scatter_kwargs = {} + + # if column is passed for coloring pts + if column: + c = df[column] + if "cmap" not in scatter_kwargs: + scatter_kwargs["cmap"] = "viridis" + else: + c = None + + sc = ax.scatter(df[x], df[y], marker=marker, + s=s, c=c, **scatter_kwargs) + + # add colorbar + if column: + cbar = fig.colorbar(sc, ax=ax, shrink=1.0) + cbar.set_label(column) + + # set axes properties + ax.set_xlabel("x") + ax.set_ylabel("y") + + for label in ax.get_yticklabels(): + label.set_rotation(90) + label.set_verticalalignment("center") + + fig.tight_layout() + + return ax + + def model(self, ml, label=True, + metadata_source="model"): + """Plot oseries and stresses from one model on a map. + + Parameters + ---------- + ml: str or pastas.Model + pastas model or name of pastas model to plot on map + label: bool, optional, default is True + add labels to points on map + metadata_source : str, optional + whether to obtain metadata from model Timeseries ("model") or from + metadata in pastastore ("store"), default is "model" + + Returns + ------- + ax: axes object + axis handle of the resulting figure + + See also + -------- + self.add_background_map + """ + if isinstance(ml, str): + ml = self.pstore.get_models(ml) + elif not isinstance(ml, ps.Model): + raise TypeError("Pass model name as string or pastas.Model!") + + stresses = pd.DataFrame(columns=["x", "y", "stressmodel", "color"]) + count = 0 + for name, sm in ml.stressmodels.items(): + for istress in sm.stress: + + if metadata_source == "model": + xi = istress.metadata["x"] + yi = istress.metadata["y"] + elif metadata_source == "store": + imeta = self.pstore.get_metadata( + "stresses", istress.name, as_frame=False) + xi = imeta.pop("x", np.nan) + yi = imeta.pop("y", np.nan) + else: + raise ValueError("metadata_source must be either " + "'model' or 'store'!") + if np.isnan(xi) or np.isnan(yi): + print(f"No x,y-data for {istress.name}!") + continue + if xi == 0.0 or yi == 0.0: + print(f"x,y-data is 0.0 for {istress.name}, not plotting!") + continue + + stresses.loc[istress.name, :] = ( + xi, yi, name, f"C{count%10}") + count += 1 + + # create figure + fig, ax = plt.subplots(1, 1, figsize=(10, 10)) + + # add oseries + osize = 30 + oserieslabel = ml.oseries.name + + if metadata_source == "model": + xm = float(ml.oseries.metadata["x"]) + ym = float(ml.oseries.metadata["y"]) + elif metadata_source == "store": + ometa = self.pstore.get_metadata( + "oseries", ml.oseries.name, as_frame=False) + xm = float(ometa.pop("x", np.nan)) + ym = float(ometa.pop("y", np.nan)) + else: + raise ValueError("metadata_source must be either " + "'model' or 'store'!") + + po = ax.scatter(xm, ym, s=osize, marker="o", + label=oserieslabel, color="k") + legend_list = [po] + + # add stresses + ax.scatter(stresses["x"], stresses["y"], s=30, c=stresses.color, + marker="o", edgecolors="k", linewidths=0.75) + + # label oseries + if label: + stroke = [patheffects.withStroke(linewidth=3, foreground="w")] + txt = ax.annotate(text=oserieslabel, xy=(xm, ym), fontsize=8, + textcoords="offset points", xytext=(10, 10)) + txt.set_path_effects(stroke) + + # get legend entries for stressmodels + uniques = stresses.loc[:, ["stressmodel", "color"] + ].drop_duplicates(keep="first") + for name, row in uniques.iterrows(): + h, = ax.plot([], [], marker="o", label=row.stressmodel, ls="", + mec="k", ms=10, color=row.color) + legend_list.append(h) + + # add legend + ax.legend(legend_list, [i.get_label() + for i in legend_list], loc="best") + + # set axes properties + ax.set_xlabel("x") + ax.set_ylabel("y") + for label in ax.get_yticklabels(): + label.set_rotation(90) + label.set_verticalalignment("center") + + # label stresses + if label: + for name, row in stresses.iterrows(): + namestr = str(name) + namestr += f"\n({row.stressmodel})" + txt = ax.annotate(text=namestr, xy=(row.x, row.y), fontsize=8, + textcoords="offset points", xytext=(10, 10)) + txt.set_path_effects(stroke) + + fig.tight_layout() + + return ax + + @staticmethod + def add_background_map(ax, proj="epsg:28992", + map_provider="OpenStreetMap.Mapnik"): + """Add background map to axes using contextily. + + Parameters + ---------- + ax : matplotlib.Axes + axes to add background map to + map_provider : str, optional + name of map provider, see `contextily.providers` for options. + Default is 'OpenStreetMap.Mapnik' + proj : pyproj.Proj or str, optional + projection for background map, default is 'epsg:28992' + (RD Amersfoort, a projection for the Netherlands) + """ + import contextily as ctx + + providers = {} + + if isinstance(proj, str): + import pyproj + proj = pyproj.Proj(proj) + + def get_providers(provider): + if "url" in provider: + providers[provider['name']] = provider + else: + for prov in provider.values(): + get_providers(prov) + + get_providers(ctx.providers) + ctx.add_basemap(ax, source=providers[map_provider], crs=proj.srs) + + @staticmethod + def add_labels(df, ax, **kwargs): + """Add labels to points on plot. + + Uses dataframe index to label points. + + Parameters + ---------- + df : pd.DataFrame + DataFrame containing x,y-data. Index is used as label + ax : matplotlib.Axes + axes object to label points on + **kwargs : + keyword arguments to ax.annotate + + """ + + stroke = [patheffects.withStroke(linewidth=3, foreground="w")] + + fontsize = kwargs.pop("fontsize", 6) + textcoords = kwargs.pop("textcoords", "offset points") + xytext = kwargs.pop("xytext", (10, 10)) + + for name, row in df.iterrows(): + namestr = str(name) + txt = ax.annotate(text=namestr, + xy=(row["x"], row["y"]), + fontsize=fontsize, + textcoords=textcoords, + xytext=xytext) + txt.set_path_effects(stroke) + + def __model_complex(self, ml, label=False, + backgroundmap=False, + metadata_source="model", + model_crs="epsg:28992", + map_crs="epsg:28992", + map_provider="OpenStreetMap.Mapnik"): + """Plot oseries and stresses for one model on map. + + Working with different CRS codes requires pyproj to be installed. For + backgroundmap=True, contextily needs to be installed. + + Parameters + ---------- + ml: str or pastas.Model + pastas model or name of pastas model to plot on map + label: bool, optional, default is False + add labels to points on map + backgroundmap : bool, optional + add OpenTopo background map, default is False + metadata_source : str, optional + whether to obtain metadata from model Timeseries ("model") or from + metadata in pastastore ("store"), default is "model" + model_crs : str, optional + coordinate reference system for model coordinates, + default is epsg:28992 (Amersfoort RD) + map_crs : str, optional + coordinate reference system for map, + by default epsg:28992 (Amersfoort RD) + map_provider : str, optional + name of map provider, see `contextily.providers` for options. + + Returns + ------- + ax: axes object + axis handle of the resulting figure + + """ + if isinstance(ml, str): + ml = self.pstore.get_models(ml) + elif not isinstance(ml, ps.Model): + raise TypeError("Pass model name as string or pastas.Model!") + + # Projections + if map_crs != model_crs: + import pyproj + proj_model = pyproj.Proj(model_crs) # model crs + proj_map = pyproj.Proj(map_crs) # convert to map crs + transform = True + transformer = pyproj.Transformer.from_proj(proj_model, proj_map, + always_xy=False) + else: + transform = False + + stresses = pd.DataFrame(columns=["x", "y", "stressmodel", "color"]) + count = 0 + for name, sm in ml.stressmodels.items(): + for istress in sm.stress: + + if metadata_source == "model": + xi = istress.metadata["x"] + yi = istress.metadata["y"] + elif metadata_source == "store": + imeta = self.pstore.get_metadata( + "stresses", istress.name, as_frame=False) + xi = imeta.pop("x", np.nan) + yi = imeta.pop("y", np.nan) + else: + raise ValueError("metadata_source must be either " + "'model' or 'store'!") + if np.isnan(xi) or np.isnan(yi): + print(f"No x,y-data for {istress.name}!") + continue + if xi == 0.0 or yi == 0.0: + print(f"x,y-data is 0.0 for {istress.name}, not plotting!") + continue + + if transform: + xi, yi = transformer.transform(xi, yi) + + stresses.loc[istress.name, :] = ( + xi, yi, name, f"C{count%10}") + count += 1 + + # create figure + fig, ax = plt.subplots(1, 1, figsize=(10, 10)) + + # add oseries + osize = 30 + oserieslabel = ml.oseries.name + + if metadata_source == "model": + xm = float(ml.oseries.metadata["x"]) + ym = float(ml.oseries.metadata["y"]) + elif metadata_source == "store": + ometa = self.pstore.get_metadata( + "oseries", ml.oseries.name, as_frame=False) + xm = float(ometa.pop("x", np.nan)) + ym = float(ometa.pop("y", np.nan)) + else: + raise ValueError("metadata_source must be either " + "'model' or 'store'!") + + if transform: + xm, ym = transformer.transform(xm, ym) + + po = ax.scatter(xm, ym, s=osize, marker="o", + label=oserieslabel, color="k") + legend_list = [po] + + # add stresses + ax.scatter(stresses["x"], stresses["y"], s=30, c=stresses.color, + marker="o", edgecolors="k", linewidths=0.75) + + # label oseries + if label: + stroke = [patheffects.withStroke(linewidth=3, foreground="w")] + txt = ax.annotate(text=oserieslabel, xy=(xm, ym), fontsize=8, + textcoords="offset points", xytext=(10, 10)) + txt.set_path_effects(stroke) + + # get legend entries for stressmodels + uniques = stresses.loc[:, ["stressmodel", "color"] + ].drop_duplicates(keep="first") + for name, row in uniques.iterrows(): + h, = ax.plot([], [], marker="o", label=row.stressmodel, ls="", + mec="k", ms=10, color=row.color) + legend_list.append(h) + + # add legend + ax.legend(legend_list, [i.get_label() + for i in legend_list], loc="best") + + # set axes properties + ax.set_xlabel("x") + ax.set_ylabel("y") + for label in ax.get_yticklabels(): + label.set_rotation(90) + label.set_verticalalignment("center") + + # label stresses + if label: + for name, row in stresses.iterrows(): + namestr = str(name) + namestr += f"\n({row.stressmodel})" + txt = ax.annotate(text=namestr, xy=(row.x, row.y), fontsize=8, + # bbox=dict(facecolor='w', + # edgecolor='k', alpha=0.5), + textcoords="offset points", xytext=(10, 10)) + txt.set_path_effects(stroke) + + # add background map + if backgroundmap: + if not transform: + proj_map = map_crs + self.add_background_map(ax, map_provider, proj_map) + + fig.tight_layout() + + return ax From fbff5955503543d0c98b2a93e1b6089b2534dabd Mon Sep 17 00:00:00 2001 From: dbrakenhoff Date: Fri, 27 Aug 2021 18:09:27 +0200 Subject: [PATCH 19/41] register Plots and Maps class in PastaStore obj --- pastastore/store.py | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/pastastore/store.py b/pastastore/store.py index f39ce8b6..995947fa 100644 --- a/pastastore/store.py +++ b/pastastore/store.py @@ -9,6 +9,7 @@ from pastas.io.pas import pastas_hook from tqdm import tqdm +from .plotting import Plots, Maps from .util import _custom_warning FrameorSeriesUnion = Union[pd.DataFrame, pd.Series] @@ -48,6 +49,10 @@ def __init__(self, name: str, connector): self.conn = connector self._register_connector_methods() + # register map and plot classes + self.maps = Maps(self) + self.plots = Plots(self) + def _register_connector_methods(self): """Internal method for registering connector methods.""" methods = [func for func in dir(self.conn) if From 387458b04362ad2fb1460580e97362c18b2546eb Mon Sep 17 00:00:00 2001 From: dbrakenhoff Date: Fri, 27 Aug 2021 18:10:22 +0200 Subject: [PATCH 20/41] add testing for plots and maps - update requirements w pyproj and contextily - add tests for plots and maps - rename benchmark tests --- requirements.txt | 4 +- tests/conftest.py | 5 +- tests/test_004_maps_plots.py | 69 +++++++++++++++++++ ...004_benchmark.py => test_005_benchmark.py} | 0 4 files changed, 73 insertions(+), 5 deletions(-) create mode 100644 tests/test_004_maps_plots.py rename tests/{test_004_benchmark.py => test_005_benchmark.py} (100%) diff --git a/requirements.txt b/requirements.txt index e00b767c..9d8892d8 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,4 +1,6 @@ numpy>=1.15 pandas>=1.0,<1.2.0 tqdm>=4.36 -pastas>=0.13.0 \ No newline at end of file +pastas>=0.13.0 +contextily +pyproj \ No newline at end of file diff --git a/tests/conftest.py b/tests/conftest.py index 6bf4d98c..df659744 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -81,22 +81,19 @@ def pstore(request): connstr = "mongodb://localhost:27017/" name = "test_project" connector = pst.ArcticConnector(name, connstr) - pstore = initialize_project(connector) elif request.param == "pystore": name = "test_project" path = "./tests/data/pystore" pystore.set_path(path) connector = pst.PystoreConnector(name, path) - pstore = initialize_project(connector) elif request.param == "dict": name = "test_project" connector = pst.DictConnector(name) - pstore = initialize_project(connector) elif request.param == "pas": name = "test_project" connector = pst.PasConnector(name, "./tests/data/pas") - pstore = initialize_project(connector) else: raise ValueError("Unrecognized parameter!") + pstore = initialize_project(connector) pstore.type = request.param # added here for defining test dependencies yield pstore diff --git a/tests/test_004_maps_plots.py b/tests/test_004_maps_plots.py new file mode 100644 index 00000000..6ceb6be1 --- /dev/null +++ b/tests/test_004_maps_plots.py @@ -0,0 +1,69 @@ +import warnings + +import matplotlib.pyplot as plt +import pytest +from pytest_dependency import depends + +with warnings.catch_warnings(): + warnings.simplefilter(action="ignore", category=FutureWarning) + import pastastore as pst + +# %% plots + + +def test_plot_oseries(pstore): + ax = pstore.plots.oseries() + plt.close(ax.figure) + return + + +def test_plot_stresses(pstore): + ax = pstore.plots.oseries() + plt.close(ax.figure) + return + + +def test_plot_stresses_availability(pstore): + ax = pstore.plots.data_availability("stresses", kind="prec", + set_yticks=True) + plt.close(ax.figure) + return + + +# %% maps + +def test_map_oseries_w_bgmap(pstore): + ax = pstore.maps.oseries() + # only test bgmap once for arctic + if pstore.type == "arctic": + pstore.maps.add_background_map(ax) + plt.close(ax.figure) + return + + +def test_map_stresses(pstore): + ax = pstore.maps.stresses(kind="prec") + plt.close(ax.figure) + return + + +@pytest.mark.dependency() +def test_map_models(request, pstore): + ml = pstore.create_model("oseries1") + pstore.add_model(ml) + ax = pstore.maps.models() + plt.close(ax.figure) + return + + +@pytest.mark.dependency() +def test_map_model(request, pstore): + depends(request, [f"test_map_models[{pstore.type}]"]) + ax = pstore.maps.model("oseries1") + plt.close(ax.figure) + return + + +def test_delete_db(pstore): + pst.util.delete_pastastore(pstore) + return diff --git a/tests/test_004_benchmark.py b/tests/test_005_benchmark.py similarity index 100% rename from tests/test_004_benchmark.py rename to tests/test_005_benchmark.py From f22c8f00db6b52309eca56a970ad7c08d10d7f02 Mon Sep 17 00:00:00 2001 From: dbrakenhoff Date: Fri, 27 Aug 2021 18:15:35 +0200 Subject: [PATCH 21/41] add plotting to docs --- docs/modules.rst | 18 ++++++++++++++++++ 1 file changed, 18 insertions(+) diff --git a/docs/modules.rst b/docs/modules.rst index 866a4307..d937477c 100644 --- a/docs/modules.rst +++ b/docs/modules.rst @@ -58,6 +58,24 @@ PastaStore .. automodule:: pastastore.store :members: + +Plots +----- + +.. autoclass:: pastastore.plotting.Plots + :members: + :undoc-members: + :private-members: + +Maps +---- + +.. autoclass:: pastastore.plotting.Maps + :members: + :undoc-members: + :private-members: + + Util ---- From d44b57cdc8aa7eef1f2fe60aa3c47fbce86e159b Mon Sep 17 00:00:00 2001 From: dbrakenhoff Date: Fri, 27 Aug 2021 18:20:13 +0200 Subject: [PATCH 22/41] reduce legend cols to 7 --- pastastore/plotting.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pastastore/plotting.py b/pastastore/plotting.py index 0a2bd5ed..8bb05323 100644 --- a/pastastore/plotting.py +++ b/pastastore/plotting.py @@ -102,7 +102,7 @@ def _timeseries(self, libname, names=None, ax=None, split=False, iax.legend(loc='best', fontsize="x-small") if not split: - axes.legend(loc=(0, 1), frameon=False, ncol=8, fontsize="x-small") + axes.legend(loc=(0, 1), frameon=False, ncol=7, fontsize="x-small") fig.tight_layout() return axes From 53e48cfd499aae2c02ef25234e119ef06d1524d7 Mon Sep 17 00:00:00 2001 From: dbrakenhoff Date: Sat, 28 Aug 2021 14:57:38 +0200 Subject: [PATCH 23/41] split data availability plot into static and pstore methods --- pastastore/plotting.py | 179 ++++++++++++++++++++++++++--------------- 1 file changed, 113 insertions(+), 66 deletions(-) diff --git a/pastastore/plotting.py b/pastastore/plotting.py index 8bb05323..dca32c1f 100644 --- a/pastastore/plotting.py +++ b/pastastore/plotting.py @@ -1,16 +1,16 @@ """This module contains all the plotting methods for PastaStore. Pastastore comes with a number helpful plotting methods to quickly -visualize timeseries or the locations of the timeseries contained in the +visualize timeseries or the locations of the timeseries contained in the store. Plotting timeseries or data availability is available through the `plots` attribute of the PastaStore object. Plotting locations of timeseries -or model statistics on maps is available through the `maps` attribute. -For example, if we have a :class:`pastastore.PastaStore` called `pstore` -linking to an existing database, the plot and map methods are available as +or model statistics on maps is available through the `maps` attribute. +For example, if we have a :class:`pastastore.PastaStore` called `pstore` +linking to an existing database, the plot and map methods are available as follows:: pstore.plots.oseries() - + ax = pstore.maps.oseries() pstore.maps.add_background_map(ax) # for adding a background map """ @@ -117,7 +117,7 @@ def oseries(self, names=None, ax=None, split=False, list of oseries names to plot, by default None, which loads all oseries from store ax : matplotlib.Axes, optional - pass axes object to plot oseries on existing figure, + pass axes object to plot oseries on existing figure, by default None, in which case a new figure is created split : bool, optional create a separate subplot for each timeseries, by default False. @@ -146,7 +146,7 @@ def stresses(self, names=None, kind=None, ax=None, split=False, only plot stresses of a certain kind, by default None, which includes all stresses ax : matplotlib.Axes, optional - pass axes object to plot oseries on existing figure, + pass axes object to plot oseries on existing figure, by default None, in which case a new figure is created split : bool, optional create a separate subplot for each timeseries, by default False. @@ -183,7 +183,7 @@ def data_availability(self, libname, names=None, kind=None, libname : str name of library to get timeseries from (oseries or stresses) names : list, optional - specify names in a list to plot data availability for certain + specify names in a list to plot data availability for certain timeseries kind : str, optional if library is stresses, kind can be specified to obtain only @@ -223,6 +223,51 @@ def data_availability(self, libname, names=None, kind=None, series = self.pstore.conn._get_series( libname, names, progressbar=progressbar, squeeze=False).values() + ax = self._data_availability(series, names=names, intervals=intervals, + ignore=ignore, normtype=normtype, + cmap=cmap, set_yticks=set_yticks, + figsize=figsize, **kwargs) + return ax + + @staticmethod + def _data_availability(series, names=None, intervals=None, + ignore=['second', 'minute', '14 days'], + normtype='log', cmap='viridis_r', + set_yticks=False, figsize=(10, 8), **kwargs): + """Plot the data-availability for multiple timeseries. + + Parameters + ---------- + libname : list of pandas.Series + list of series to plot data availability for + names : list, optional + specify names of series, default is None in which case names + will be taken from series themselves. + kind : str, optional + if library is stresses, kind can be specified to obtain only + stresses of a specific kind + intervals: dict, optional + A dict with frequencies as keys and number of seconds as values + ignore : list, optional + A list with frequencies in intervals to ignore + normtype : str, optional + Determines the type of color normalisations, default is 'log' + cmap : str, optional + A reference to a matplotlib colormap + set_yticks : bool, optional + Set the names of the series as yticks + figsize : tuple, optional + The size of the new figure in inches (h,v) + progressbar : bool + show progressbar + kwargs : dict, optional + Extra arguments are passed to matplotlib.pyplot.subplots() + + Returns + ------- + ax : matplotlib Axes + The axes in which the data-availability is plotted + """ # a good colormap is cmap='RdYlGn_r' or 'cubehelix' f, ax = plt.subplots(figsize=figsize, **kwargs) ax.invert_yaxis() @@ -265,6 +310,8 @@ def data_availability(self, libname, names=None, kind=None, cb.ax.minorticks_off() if set_yticks: ax.set_yticks(np.arange(0.5, len(series) + 0.5)) + if names is None: + names = [s.name for s in series] ax.set_yticklabels(names) else: ax.set_ylabel('Timeseries (-)') @@ -280,10 +327,10 @@ class Maps: Usage ----- - Example usage of the maps methods:: + Example usage of the maps methods: : - >>> ax = pstore.maps.oseries() # plot oseries locations - >>> pstore.maps.add_background_map(ax) # add background map + >> > ax = pstore.maps.oseries() # plot oseries locations + >> > pstore.maps.add_background_map(ax) # add background map """ def __init__(self, pstore): @@ -291,7 +338,7 @@ def __init__(self, pstore): Parameters ---------- - pstore : pastastore.Pastastore + pstore: pastastore.Pastastore Pastastore object """ self.pstore = pstore @@ -301,17 +348,17 @@ def stresses(self, kind=None, labels=True, figsize=(10, 8), **kwargs): Parameters ---------- - kind : str, optional + kind: str, optional if passed, only plot stresses of a specific kind, default is None which plots all stresses. - labels : bool, optional + labels: bool, optional label models, by default True - figsize : tuple, optional - figure size, by default (10, 8) + figsize: tuple, optional + figure size, by default(10, 8) Returns ------- - ax : matplotlib.Axes + ax: matplotlib.Axes axes object See also @@ -339,14 +386,14 @@ def oseries(self, labels=True, figsize=(10, 8), **kwargs): Parameters ---------- - labels : bool, optional + labels: bool, optional label models, by default True - figsize : tuple, optional - figure size, by default (10, 8) + figsize: tuple, optional + figure size, by default(10, 8) Returns ------- - ax : matplotlib.Axes + ax: matplotlib.Axes axes object See also @@ -367,14 +414,14 @@ def models(self, labels=True, figsize=(10, 8), **kwargs): Parameters ---------- - labels : bool, optional + labels: bool, optional label models, by default True - figsize : tuple, optional - figure size, by default (10, 8) + figsize: tuple, optional + figure size, by default(10, 8) Returns ------- - ax : matplotlib.Axes + ax: matplotlib.Axes axes object See also @@ -402,24 +449,24 @@ def modelstat(self, statistic, label=True, cmap="viridis", norm=None, Parameters ---------- - statistic : str + statistic: str name of the statistic, e.g. "evp" or "aic" - label : bool, optional + label: bool, optional label points, by default True - cmap : str or colormap, optional + cmap: str or colormap, optional (name of) the colormap, by default "viridis" - norm : norm, optional + norm: norm, optional normalization for colorbar, by default None - vmin : float, optional + vmin: float, optional vmin for colorbar, by default None - vmax : float, optional + vmax: float, optional vmax for colorbar, by default None - figsize : tuple, optional - figuresize, by default (10, 8) + figsize: tuple, optional + figuresize, by default(10, 8) Returns ------- - ax : matplotlib.Axes + ax: matplotlib.Axes axes object See also @@ -462,25 +509,25 @@ def _plotmap_dataframe(self, df, x="x", y="y", column=None, Parameters ---------- - df : pandas.DataFrame + df: pandas.DataFrame DataFrame containing coordinates and data to plot, with index providing names for each location - x : str, optional - name of the column with x-coordinate data, by default "x" - y : str, optional - name of the column with y-coordinate data, by default "y" - column : str, optional + x: str, optional + name of the column with x - coordinate data, by default "x" + y: str, optional + name of the column with y - coordinate data, by default "y" + column: str, optional name of the column containing data used for determining the color of each point, by default None (all one color) - scatter_kwargs : dict, optional - dictionary containing keyword arguments for ax.scatter, + scatter_kwargs: dict, optional + dictionary containing keyword arguments for ax.scatter, by default None - figsize : tuple, optional - figure size, by default (10, 8) + figsize: tuple, optional + figure size, by default(10, 8) Returns ------- - ax : matplotlib.Axes + ax: matplotlib.Axes axes object """ @@ -533,9 +580,9 @@ def model(self, ml, label=True, pastas model or name of pastas model to plot on map label: bool, optional, default is True add labels to points on map - metadata_source : str, optional - whether to obtain metadata from model Timeseries ("model") or from - metadata in pastastore ("store"), default is "model" + metadata_source: str, optional + whether to obtain metadata from model Timeseries("model") or from + metadata in pastastore("store"), default is "model" Returns ------- @@ -651,13 +698,13 @@ def add_background_map(ax, proj="epsg:28992", Parameters ---------- - ax : matplotlib.Axes + ax: matplotlib.Axes axes to add background map to - map_provider : str, optional + map_provider: str, optional name of map provider, see `contextily.providers` for options. Default is 'OpenStreetMap.Mapnik' - proj : pyproj.Proj or str, optional - projection for background map, default is 'epsg:28992' + proj: pyproj.Proj or str, optional + projection for background map, default is 'epsg:28992' (RD Amersfoort, a projection for the Netherlands) """ import contextily as ctx @@ -686,11 +733,11 @@ def add_labels(df, ax, **kwargs): Parameters ---------- - df : pd.DataFrame - DataFrame containing x,y-data. Index is used as label - ax : matplotlib.Axes + df: pd.DataFrame + DataFrame containing x, y - data. Index is used as label + ax: matplotlib.Axes axes object to label points on - **kwargs : + **kwargs: keyword arguments to ax.annotate """ @@ -719,7 +766,7 @@ def __model_complex(self, ml, label=False, """Plot oseries and stresses for one model on map. Working with different CRS codes requires pyproj to be installed. For - backgroundmap=True, contextily needs to be installed. + backgroundmap = True, contextily needs to be installed. Parameters ---------- @@ -727,18 +774,18 @@ def __model_complex(self, ml, label=False, pastas model or name of pastas model to plot on map label: bool, optional, default is False add labels to points on map - backgroundmap : bool, optional + backgroundmap: bool, optional add OpenTopo background map, default is False - metadata_source : str, optional - whether to obtain metadata from model Timeseries ("model") or from - metadata in pastastore ("store"), default is "model" - model_crs : str, optional + metadata_source: str, optional + whether to obtain metadata from model Timeseries("model") or from + metadata in pastastore("store"), default is "model" + model_crs: str, optional coordinate reference system for model coordinates, - default is epsg:28992 (Amersfoort RD) - map_crs : str, optional + default is epsg: 28992 (Amersfoort RD) + map_crs: str, optional coordinate reference system for map, - by default epsg:28992 (Amersfoort RD) - map_provider : str, optional + by default epsg: 28992 (Amersfoort RD) + map_provider: str, optional name of map provider, see `contextily.providers` for options. Returns From 18c5cc8d5af478aed6347af06a18d422c9c75768 Mon Sep 17 00:00:00 2001 From: dbrakenhoff Date: Sat, 28 Aug 2021 14:58:42 +0200 Subject: [PATCH 24/41] docstring --- pastastore/plotting.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/pastastore/plotting.py b/pastastore/plotting.py index dca32c1f..4bcfaa27 100644 --- a/pastastore/plotting.py +++ b/pastastore/plotting.py @@ -176,7 +176,7 @@ def data_availability(self, libname, names=None, kind=None, normtype='log', cmap='viridis_r', set_yticks=False, figsize=(10, 8), progressbar=True, **kwargs): - """Plot the data-availability for multiple timeseries. + """Plot the data-availability for multiple timeseries in pastastore. Parameters ---------- @@ -234,7 +234,7 @@ def _data_availability(series, names=None, intervals=None, ignore=['second', 'minute', '14 days'], normtype='log', cmap='viridis_r', set_yticks=False, figsize=(10, 8), **kwargs): - """Plot the data-availability for multiple timeseries. + """Plot the data-availability for a list of timeseries. Parameters ---------- From 7f4afc832fd0ae99716d839361437fb66869ec6c Mon Sep 17 00:00:00 2001 From: dbrakenhoff Date: Sat, 28 Aug 2021 15:25:37 +0200 Subject: [PATCH 25/41] codacy --- pastastore/plotting.py | 66 ++++++++++++++++++++++-------------------- 1 file changed, 34 insertions(+), 32 deletions(-) diff --git a/pastastore/plotting.py b/pastastore/plotting.py index 4bcfaa27..ac0e45f0 100644 --- a/pastastore/plotting.py +++ b/pastastore/plotting.py @@ -172,7 +172,7 @@ def stresses(self, names=None, kind=None, ax=None, split=False, def data_availability(self, libname, names=None, kind=None, intervals=None, - ignore=['second', 'minute', '14 days'], + ignore=('second', 'minute', '14 days'), normtype='log', cmap='viridis_r', set_yticks=False, figsize=(10, 8), progressbar=True, **kwargs): @@ -209,7 +209,6 @@ def data_availability(self, libname, names=None, kind=None, ------- ax : matplotlib Axes The axes in which the data-availability is plotted - """ names = self.pstore.conn._parse_names(names, libname) @@ -231,7 +230,7 @@ def data_availability(self, libname, names=None, kind=None, @staticmethod def _data_availability(series, names=None, intervals=None, - ignore=['second', 'minute', '14 days'], + ignore=('second', 'minute', '14 days'), normtype='log', cmap='viridis_r', set_yticks=False, figsize=(10, 8), **kwargs): """Plot the data-availability for a list of timeseries. @@ -375,7 +374,7 @@ def stresses(self, kind=None, labels=True, figsize=(10, 8), **kwargs): mask0 = (stresses["x"] != 0.0) | (stresses["y"] != 0.0) ax = self._plotmap_dataframe(stresses.loc[mask0], figsize=figsize, - scatter_kwargs=kwargs) + **kwargs) if labels: self.add_labels(stresses, ax) @@ -403,7 +402,7 @@ def oseries(self, labels=True, figsize=(10, 8), **kwargs): oseries = self.pstore.oseries mask0 = (oseries["x"] != 0.0) | (oseries["y"] != 0.0) ax = self._plotmap_dataframe(oseries.loc[mask0], figsize=figsize, - scatter_kwargs=kwargs) + **kwargs) if labels: self.add_labels(oseries, ax) @@ -437,7 +436,7 @@ def models(self, labels=True, figsize=(10, 8), **kwargs): # mask out 0.0 coordinates mask0 = (models["x"] != 0.0) | (models["y"] != 0.0) ax = self._plotmap_dataframe(models.loc[mask0], figsize=figsize, - scatter_kwargs=kwargs) + **kwargs) if labels: self.add_labels(models, ax) @@ -492,67 +491,72 @@ def modelstat(self, statistic, label=True, cmap="viridis", norm=None, scatter_kwargs.update(kwargs) - ax = self._plotmap_dataframe(df, column=statistic, - scatter_kwargs=scatter_kwargs, - figsize=figsize) + ax = self._plotmap_dataframe(df, + column=statistic, + figsize=figsize, + **scatter_kwargs) if label: df.set_index("index", inplace=True) self.add_labels(df, ax) return ax - def _plotmap_dataframe(self, df, x="x", y="y", column=None, - scatter_kwargs=None, - figsize=(10, 8)): + @staticmethod + def _plotmap_dataframe(df, x="x", y="y", column=None, ax=None, + figsize=(10, 8), **kwargs): """Internal method for plotting dataframe with point locations. Can be called directly for more control over plot characteristics. Parameters ---------- - df: pandas.DataFrame + df : pandas.DataFrame DataFrame containing coordinates and data to plot, with index providing names for each location - x: str, optional + x : str, optional name of the column with x - coordinate data, by default "x" - y: str, optional + y : str, optional name of the column with y - coordinate data, by default "y" - column: str, optional + column : str, optional name of the column containing data used for determining the color of each point, by default None (all one color) - scatter_kwargs: dict, optional + ax : matplotlib Axes + axes handle to plot dataframe, optional, default is None + which creates a new figure + figsize : tuple, optional + figure size, by default(10, 8) + **kwargs : dictionary containing keyword arguments for ax.scatter, by default None - figsize: tuple, optional - figure size, by default(10, 8) Returns ------- - ax: matplotlib.Axes + ax : matplotlib.Axes axes object """ - fig, ax = plt.subplots(figsize=figsize) + if ax is None: + fig, ax = plt.subplots(figsize=figsize) + else: + fig = ax.figure # set default size and marker if not passed - if scatter_kwargs: - s = scatter_kwargs.pop("s", 30) - marker = scatter_kwargs.pop("marker", "o") + if kwargs: + s = kwargs.pop("s", 30) + marker = kwargs.pop("marker", "o") else: s = 30 marker = "o" - scatter_kwargs = {} + kwargs = {} # if column is passed for coloring pts if column: c = df[column] - if "cmap" not in scatter_kwargs: - scatter_kwargs["cmap"] = "viridis" + if "cmap" not in kwargs: + kwargs["cmap"] = "viridis" else: c = None - sc = ax.scatter(df[x], df[y], marker=marker, - s=s, c=c, **scatter_kwargs) - + sc = ax.scatter(df[x], df[y], marker=marker, s=s, c=c, **kwargs) # add colorbar if column: cbar = fig.colorbar(sc, ax=ax, shrink=1.0) @@ -739,7 +743,6 @@ def add_labels(df, ax, **kwargs): axes object to label points on **kwargs: keyword arguments to ax.annotate - """ stroke = [patheffects.withStroke(linewidth=3, foreground="w")] @@ -792,7 +795,6 @@ def __model_complex(self, ml, label=False, ------- ax: axes object axis handle of the resulting figure - """ if isinstance(ml, str): ml = self.pstore.get_models(ml) From 7c7d84c1ee1ef14cba98164429d844fbdb72fa5a Mon Sep 17 00:00:00 2001 From: dbrakenhoff Date: Sat, 28 Aug 2021 15:27:43 +0200 Subject: [PATCH 26/41] remove old model plot map method --- pastastore/plotting.py | 159 ----------------------------------------- 1 file changed, 159 deletions(-) diff --git a/pastastore/plotting.py b/pastastore/plotting.py index ac0e45f0..06da0dd1 100644 --- a/pastastore/plotting.py +++ b/pastastore/plotting.py @@ -759,162 +759,3 @@ def add_labels(df, ax, **kwargs): textcoords=textcoords, xytext=xytext) txt.set_path_effects(stroke) - - def __model_complex(self, ml, label=False, - backgroundmap=False, - metadata_source="model", - model_crs="epsg:28992", - map_crs="epsg:28992", - map_provider="OpenStreetMap.Mapnik"): - """Plot oseries and stresses for one model on map. - - Working with different CRS codes requires pyproj to be installed. For - backgroundmap = True, contextily needs to be installed. - - Parameters - ---------- - ml: str or pastas.Model - pastas model or name of pastas model to plot on map - label: bool, optional, default is False - add labels to points on map - backgroundmap: bool, optional - add OpenTopo background map, default is False - metadata_source: str, optional - whether to obtain metadata from model Timeseries("model") or from - metadata in pastastore("store"), default is "model" - model_crs: str, optional - coordinate reference system for model coordinates, - default is epsg: 28992 (Amersfoort RD) - map_crs: str, optional - coordinate reference system for map, - by default epsg: 28992 (Amersfoort RD) - map_provider: str, optional - name of map provider, see `contextily.providers` for options. - - Returns - ------- - ax: axes object - axis handle of the resulting figure - """ - if isinstance(ml, str): - ml = self.pstore.get_models(ml) - elif not isinstance(ml, ps.Model): - raise TypeError("Pass model name as string or pastas.Model!") - - # Projections - if map_crs != model_crs: - import pyproj - proj_model = pyproj.Proj(model_crs) # model crs - proj_map = pyproj.Proj(map_crs) # convert to map crs - transform = True - transformer = pyproj.Transformer.from_proj(proj_model, proj_map, - always_xy=False) - else: - transform = False - - stresses = pd.DataFrame(columns=["x", "y", "stressmodel", "color"]) - count = 0 - for name, sm in ml.stressmodels.items(): - for istress in sm.stress: - - if metadata_source == "model": - xi = istress.metadata["x"] - yi = istress.metadata["y"] - elif metadata_source == "store": - imeta = self.pstore.get_metadata( - "stresses", istress.name, as_frame=False) - xi = imeta.pop("x", np.nan) - yi = imeta.pop("y", np.nan) - else: - raise ValueError("metadata_source must be either " - "'model' or 'store'!") - if np.isnan(xi) or np.isnan(yi): - print(f"No x,y-data for {istress.name}!") - continue - if xi == 0.0 or yi == 0.0: - print(f"x,y-data is 0.0 for {istress.name}, not plotting!") - continue - - if transform: - xi, yi = transformer.transform(xi, yi) - - stresses.loc[istress.name, :] = ( - xi, yi, name, f"C{count%10}") - count += 1 - - # create figure - fig, ax = plt.subplots(1, 1, figsize=(10, 10)) - - # add oseries - osize = 30 - oserieslabel = ml.oseries.name - - if metadata_source == "model": - xm = float(ml.oseries.metadata["x"]) - ym = float(ml.oseries.metadata["y"]) - elif metadata_source == "store": - ometa = self.pstore.get_metadata( - "oseries", ml.oseries.name, as_frame=False) - xm = float(ometa.pop("x", np.nan)) - ym = float(ometa.pop("y", np.nan)) - else: - raise ValueError("metadata_source must be either " - "'model' or 'store'!") - - if transform: - xm, ym = transformer.transform(xm, ym) - - po = ax.scatter(xm, ym, s=osize, marker="o", - label=oserieslabel, color="k") - legend_list = [po] - - # add stresses - ax.scatter(stresses["x"], stresses["y"], s=30, c=stresses.color, - marker="o", edgecolors="k", linewidths=0.75) - - # label oseries - if label: - stroke = [patheffects.withStroke(linewidth=3, foreground="w")] - txt = ax.annotate(text=oserieslabel, xy=(xm, ym), fontsize=8, - textcoords="offset points", xytext=(10, 10)) - txt.set_path_effects(stroke) - - # get legend entries for stressmodels - uniques = stresses.loc[:, ["stressmodel", "color"] - ].drop_duplicates(keep="first") - for name, row in uniques.iterrows(): - h, = ax.plot([], [], marker="o", label=row.stressmodel, ls="", - mec="k", ms=10, color=row.color) - legend_list.append(h) - - # add legend - ax.legend(legend_list, [i.get_label() - for i in legend_list], loc="best") - - # set axes properties - ax.set_xlabel("x") - ax.set_ylabel("y") - for label in ax.get_yticklabels(): - label.set_rotation(90) - label.set_verticalalignment("center") - - # label stresses - if label: - for name, row in stresses.iterrows(): - namestr = str(name) - namestr += f"\n({row.stressmodel})" - txt = ax.annotate(text=namestr, xy=(row.x, row.y), fontsize=8, - # bbox=dict(facecolor='w', - # edgecolor='k', alpha=0.5), - textcoords="offset points", xytext=(10, 10)) - txt.set_path_effects(stroke) - - # add background map - if backgroundmap: - if not transform: - proj_map = map_crs - self.add_background_map(ax, map_provider, proj_map) - - fig.tight_layout() - - return ax From fa748f31aba3a3b1b12142efe000671c8b56bb8f Mon Sep 17 00:00:00 2001 From: dbrakenhoff Date: Sun, 29 Aug 2021 23:22:26 +0200 Subject: [PATCH 27/41] fix emoty_library bug --- pastastore/util.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pastastore/util.py b/pastastore/util.py index c31da254..462afd7f 100644 --- a/pastastore/util.py +++ b/pastastore/util.py @@ -187,7 +187,7 @@ def empty_library(pstore, libname: str, if True show progressbar (default) """ conn = pstore.conn - lib = conn.get_library(libname) + lib = conn._get_library(libname) names = conn._parse_names(None, libname) if pstore.conn.conn_type == "arctic": From 7dc26b74d4ecea9e23f43432a814076fbbe8a00e Mon Sep 17 00:00:00 2001 From: dbrakenhoff Date: Thu, 2 Sep 2021 22:13:35 +0200 Subject: [PATCH 28/41] move test data for use in plotting notebook --- tests/conftest.py | 24 ++++++++++++------------ 1 file changed, 12 insertions(+), 12 deletions(-) diff --git a/tests/conftest.py b/tests/conftest.py index df659744..3674407b 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -13,12 +13,12 @@ def initialize_project(conn): # oseries 1 o = pd.read_csv("./tests/data/obs.csv", index_col=0, parse_dates=True) - pstore.add_oseries(o, "oseries1", metadata={"x": 100000, - "y": 400000}) + pstore.add_oseries(o, "oseries1", metadata={"x": 165000, + "y": 424000}) # oseries 2 o = pd.read_csv("./tests/data/head_nb1.csv", index_col=0, parse_dates=True) - pstore.add_oseries(o, "oseries2", metadata={"x": 100300, - "y": 400400}) + pstore.add_oseries(o, "oseries2", metadata={"x": 164000, + "y": 423000}) # oseries 3 o = pd.read_csv("./tests/data/gw_obs.csv", index_col=0, parse_dates=True) @@ -27,23 +27,23 @@ def initialize_project(conn): # prec 1 s = pd.read_csv("./tests/data/rain.csv", index_col=0, parse_dates=True) - pstore.add_stress(s, "prec1", kind="prec", metadata={"x": 100000, - "y": 400000}) + pstore.add_stress(s, "prec1", kind="prec", metadata={"x": 165050, + "y": 424050}) # prec 2 s = pd.read_csv("./tests/data/rain_nb1.csv", index_col=0, parse_dates=True) - pstore.add_stress(s, "prec2", kind="prec", metadata={"x": 100300, - "y": 400400}) + pstore.add_stress(s, "prec2", kind="prec", metadata={"x": 164010, + "y": 423000}) # evap 1 s = pd.read_csv("./tests/data/evap.csv", index_col=0, parse_dates=True) - pstore.add_stress(s, "evap1", kind="evap", metadata={"x": 100000, - "y": 400000}) + pstore.add_stress(s, "evap1", kind="evap", metadata={"x": 164500, + "y": 424000}) # evap 2 s = pd.read_csv("./tests/data/evap_nb1.csv", index_col=0, parse_dates=True) - pstore.add_stress(s, "evap2", kind="evap", metadata={"x": 100300, - "y": 400400}) + pstore.add_stress(s, "evap2", kind="evap", metadata={"x": 164000, + "y": 423030}) # well 1 s = pd.read_csv("./tests/data/well.csv", index_col=0, parse_dates=True) From e3605dfb7fe136854e980b14e52c26d2431250ee Mon Sep 17 00:00:00 2001 From: dbrakenhoff Date: Thu, 2 Sep 2021 22:14:25 +0200 Subject: [PATCH 29/41] improve model comparison - use try/except to return False when timeseries have different indexes --- pastastore/util.py | 35 +++++++++++++++++++++++++++++------ 1 file changed, 29 insertions(+), 6 deletions(-) diff --git a/pastastore/util.py b/pastastore/util.py index 462afd7f..414f75ee 100644 --- a/pastastore/util.py +++ b/pastastore/util.py @@ -299,9 +299,22 @@ def compare_models(ml1, ml2, stats=None, detailed_comparison=False): df.loc["oseries: series_validated", f"model {i}"] = True df.loc["oseries: series_series", f"model {i}"] = True elif i == 1: - compare_oso = (oso == ml.oseries.series_original).all() - compare_osv = (osv == ml.oseries.series_original).all() - compare_oss = (oss == ml.oseries.series_original).all() + try: + compare_oso = (oso == ml.oseries.series_original).all() + except ValueError: + # series are not identical in length or index does not match + compare_oso = False + try: + compare_osv = (osv == ml.oseries.series_original).all() + except ValueError: + # series are not identical in length or index does not match + compare_osv = False + try: + compare_oss = (oss == ml.oseries.series_original).all() + except ValueError: + # series are not identical in length or index does not match + compare_oso = False + df.loc["oseries: series_original", f"model {i}"] = compare_oso df.loc["oseries: series_validated", f"model {i}"] = compare_osv df.loc["oseries: series_series", f"model {i}"] = compare_oss @@ -331,9 +344,19 @@ def compare_models(ml1, ml2, stats=None, detailed_comparison=False): df.loc[f" - {ts.name}: series"] = True elif i == 1: - compare_so1 = (so1[counter] == ts.series_original).all() - compare_sv1 = (sv1[counter] == ts.series_validated).all() - compare_ss1 = (ss1[counter] == ts.series).all() + # ValueError if series cannot be compared, set result to False + try: + compare_so1 = (so1[counter] == ts.series_original).all() + except ValueError: + compare_so1 = False + try: + compare_sv1 = (sv1[counter] == ts.series_validated).all() + except ValueError: + compare_sv1 = False + try: + compare_ss1 = (ss1[counter] == ts.series).all() + except ValueError: + compare_ss1 = False df.loc[f" - {ts.name}: series_original"] = compare_so1 df.loc[f" - {ts.name}: series_validated"] = compare_sv1 df.loc[f" - {ts.name}: series"] = compare_ss1 From d91700dad92ae1061d9a730e3d66532799bd7859 Mon Sep 17 00:00:00 2001 From: dbrakenhoff Date: Thu, 2 Sep 2021 22:15:23 +0200 Subject: [PATCH 30/41] add search method - for searching timeseries starthing with specified string --- pastastore/store.py | 35 +++++++++++++++++++++++++++++++++++ 1 file changed, 35 insertions(+) diff --git a/pastastore/store.py b/pastastore/store.py index 995947fa..e351948e 100644 --- a/pastastore/store.py +++ b/pastastore/store.py @@ -781,3 +781,38 @@ def from_zip(cls, fname: str, conn, storename: Optional[str] = None, progressbar if storename is None: storename = conn.name return cls(storename, conn) + + def search(self, libname: str, s: str, case_sensitive=False): + """Search for names of timeseries or models starting with s. + + Parameters + ---------- + libname : str + name of the library to search in + s : str + find names starting with this string or part of string + case_sensitive : bool, optional + whether search should be case sensitive, by default False + + Returns + ------- + matches : list + list of names that match search result + """ + + df = getattr(self, libname) + + if libname == "models": + if case_sensitive: + matches = [mlnam for mlnam in df if + mlnam.lower().startswith(s.lower())] + else: + matches = [mlnam for mlnam in df if mlnam.startswith(s)] + else: + if case_sensitive: + mask = df.index.str.startswith(s) + else: + mask = df.index.str.lower().str.startswith(s.lower()) + matches = df.index[mask].tolist() + + return matches From b0d6d278451f3125021488b6290fe9850f77b8ad Mon Sep 17 00:00:00 2001 From: dbrakenhoff Date: Thu, 2 Sep 2021 22:17:57 +0200 Subject: [PATCH 31/41] update plotting - set different defaults based on notebook - move contextily providers to separate method --- pastastore/plotting.py | 70 ++++++++++++++++++++++++++++++------------ 1 file changed, 50 insertions(+), 20 deletions(-) diff --git a/pastastore/plotting.py b/pastastore/plotting.py index 06da0dd1..d5e7aec9 100644 --- a/pastastore/plotting.py +++ b/pastastore/plotting.py @@ -20,6 +20,7 @@ import pandas as pd import pastas as ps from matplotlib import patheffects +from mpl_toolkits.axes_grid1 import make_axes_locatable class Plots: @@ -432,6 +433,7 @@ def models(self, labels=True, figsize=(10, 8), **kwargs): "oseries"]["name"] for m in self.pstore.model_names] models = self.pstore.oseries.loc[model_oseries] + models.index = self.pstore.model_names # mask out 0.0 coordinates mask0 = (models["x"] != 0.0) | (models["y"] != 0.0) @@ -541,10 +543,10 @@ def _plotmap_dataframe(df, x="x", y="y", column=None, ax=None, # set default size and marker if not passed if kwargs: - s = kwargs.pop("s", 30) + s = kwargs.pop("s", 70) marker = kwargs.pop("marker", "o") else: - s = 30 + s = 70 marker = "o" kwargs = {} @@ -559,7 +561,9 @@ def _plotmap_dataframe(df, x="x", y="y", column=None, ax=None, sc = ax.scatter(df[x], df[y], marker=marker, s=s, c=c, **kwargs) # add colorbar if column: - cbar = fig.colorbar(sc, ax=ax, shrink=1.0) + divider = make_axes_locatable(ax) + cax = divider.append_axes("right", size="3%", pad=0.05) + cbar = fig.colorbar(sc, ax=ax, cax=cax) cbar.set_label(column) # set axes properties @@ -575,7 +579,7 @@ def _plotmap_dataframe(df, x="x", y="y", column=None, ax=None, return ax def model(self, ml, label=True, - metadata_source="model"): + metadata_source="model", offset=0.0): """Plot oseries and stresses from one model on a map. Parameters @@ -585,8 +589,11 @@ def model(self, ml, label=True, label: bool, optional, default is True add labels to points on map metadata_source: str, optional - whether to obtain metadata from model Timeseries("model") or from + whether to obtain metadata from model Timeseries or from metadata in pastastore("store"), default is "model" + offset : float, optional + add offset to current extent of model timeseries, useful + for zooming out around models Returns ------- @@ -633,7 +640,7 @@ def model(self, ml, label=True, fig, ax = plt.subplots(1, 1, figsize=(10, 10)) # add oseries - osize = 30 + osize = 50 oserieslabel = ml.oseries.name if metadata_source == "model": @@ -653,7 +660,7 @@ def model(self, ml, label=True, legend_list = [po] # add stresses - ax.scatter(stresses["x"], stresses["y"], s=30, c=stresses.color, + ax.scatter(stresses["x"], stresses["y"], s=50, c=stresses.color, marker="o", edgecolors="k", linewidths=0.75) # label oseries @@ -682,6 +689,12 @@ def model(self, ml, label=True, label.set_rotation(90) label.set_verticalalignment("center") + if offset > 0.0: + xmin, xmax = ax.get_xlim() + ymin, ymax = ax.get_ylim() + ax.set_xlim(xmin - offset, xmax + offset) + ax.set_ylim(ymin - offset, ymax + offset) + # label stresses if label: for name, row in stresses.iterrows(): @@ -695,9 +708,34 @@ def model(self, ml, label=True, return ax + @staticmethod + def _list_contextily_providers(): + """List contextily providers. + + Taken from contextily notebooks. + + Returns + ------- + providers : dict + dictionary containing all providers. See keys for names + that can be passed as map_provider arguments. + """ + import contextily as ctx + providers = {} + + def get_providers(provider): + if "url" in provider: + providers[provider['name']] = provider + else: + for prov in provider.values(): + get_providers(prov) + get_providers(ctx.providers) + return providers + @staticmethod def add_background_map(ax, proj="epsg:28992", - map_provider="OpenStreetMap.Mapnik"): + map_provider="OpenStreetMap.Mapnik", + **kwargs): """Add background map to axes using contextily. Parameters @@ -713,21 +751,13 @@ def add_background_map(ax, proj="epsg:28992", """ import contextily as ctx - providers = {} - if isinstance(proj, str): import pyproj proj = pyproj.Proj(proj) - def get_providers(provider): - if "url" in provider: - providers[provider['name']] = provider - else: - for prov in provider.values(): - get_providers(prov) - - get_providers(ctx.providers) - ctx.add_basemap(ax, source=providers[map_provider], crs=proj.srs) + providers = Maps._list_contextily_providers() + ctx.add_basemap(ax, source=providers[map_provider], crs=proj.srs, + **kwargs) @staticmethod def add_labels(df, ax, **kwargs): @@ -747,7 +777,7 @@ def add_labels(df, ax, **kwargs): stroke = [patheffects.withStroke(linewidth=3, foreground="w")] - fontsize = kwargs.pop("fontsize", 6) + fontsize = kwargs.pop("fontsize", 10) textcoords = kwargs.pop("textcoords", "offset points") xytext = kwargs.pop("xytext", (10, 10)) From ba9d34a24e89c883c8f41eb240ce7cd574ec6fef Mon Sep 17 00:00:00 2001 From: dbrakenhoff Date: Thu, 2 Sep 2021 22:18:04 +0200 Subject: [PATCH 32/41] add plots and maps notebook --- .../ex03_pastastore_plots_and_maps.ipynb | 522 ++++++++++++++++++ 1 file changed, 522 insertions(+) create mode 100644 examples/notebooks/ex03_pastastore_plots_and_maps.ipynb diff --git a/examples/notebooks/ex03_pastastore_plots_and_maps.ipynb b/examples/notebooks/ex03_pastastore_plots_and_maps.ipynb new file mode 100644 index 00000000..41fea06d --- /dev/null +++ b/examples/notebooks/ex03_pastastore_plots_and_maps.ipynb @@ -0,0 +1,522 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# PastaStore plot and map utilities\n", + "\n", + "This notebook shows the `PastaStore` functionality for quickly plotting timeseries, or plotting metadata or models (timeseries locations) on a map.\n", + "\n", + "
\n", + "Note: The plotting methods in PastaStore are new and are still under development so please submit an issue if you come across some unusual or undesirable behavior. But definitely do try it out and let us know what you think!
\n", + "\n", + "## Content\n", + "1. [Populate a PastaStore with some data](#Populate-a-PastaStore-with-some-data)\n", + "2. [Maps](#Maps)\n", + " 1. [Oseries locations](#Oseries-locations)\n", + " 2. [All stresses](#All-stresses)\n", + " 2. [Model locations](#Model-locations)\n", + " 3. [Model statistics](#Model-statistics)\n", + " 4. [A single model and its time series](#A-single-model-and-its-time-series)\n", + "3. [Plots](#Plots)\n", + " 1. [Plot oseries](#Plot-oseries)\n", + " 2. [Plot stresses](#Plot-stresses)\n", + " 3. [Data availability](#Data-availability)\n", + "\n", + "
" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import sys\n", + "import os\n", + "\n", + "import matplotlib.pyplot as plt\n", + "import pandas as pd\n", + "import pastastore as pst\n", + "import pastas as ps\n", + "\n", + "sys.path.insert(1, \"../../tests\")\n", + "from conftest import initialize_project" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Python version: 3.7.6 (default, Jan 8 2020, 19:59:22) \n", + "[GCC 7.3.0]\n", + "Numpy version: 1.21.2\n", + "Scipy version: 1.5.2\n", + "Pandas version: 1.1.5\n", + "Pastas version: 0.18.0\n", + "Matplotlib version: 3.4.1\n" + ] + } + ], + "source": [ + "ps.logger.setLevel(\"ERROR\") # silence Pastas for this notebook\n", + "ps.show_versions()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## [Populate a PastaStore with some data](#top)\n", + "\n", + "First we create a PastaStore object and add some data to it. We're using the data used by the pastastore unit tests as an example. This is some random data, but it works just perfectly to show the PastaStores plot and map methods." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "# set up a PastaStore\n", + "conn = pst.DictConnector(\"database\")\n", + "pstore = pst.PastaStore(name=\"database\", connector=conn)\n", + "\n", + "# add data, we're using the data used in the tests here, hence \n", + "# the temporary change of directory\n", + "os.chdir(\"../..\")\n", + "initialize_project(conn)\n", + "os.chdir(\"./examples/notebooks\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "
" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## [Maps](#top)\n", + "\n", + "PastaStore contains a `maps` attribute that exposes methods for spatially plotting data contained in our database. There are methods for plotting oseries, stress and model locations and there is also a method for plotting a single model and all the timeseries it contains. The following sections showcase each of these methods. But a map is not a map without some kind of background. The function `PastaStore.maps.add_background_map` allows you to add a background map to any axes object. The method is powered by [contextily](https://contextily.readthedocs.io/en/latest/) and basically allows users to access some of the great functionality provided by that package. Contextily is not a `pastastore` dependency but is obviously recommended, and necessary if you want to access the background maps. For a list of possible background maps, consult `PastaStore.maps._list_contextily_providers()` (see below). We'll be using a few different background map options in the plots below. The default is `OpenStreetMap.Mapnik`." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### [Background maps](#top)" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "dict_keys(['OpenStreetMap.Mapnik', 'OpenStreetMap.DE', 'OpenStreetMap.CH', 'OpenStreetMap.France', 'OpenStreetMap.HOT', 'OpenStreetMap.BZH', 'OpenSeaMap', 'OpenPtMap', 'OpenTopoMap', 'OpenRailwayMap', 'OpenFireMap', 'SafeCast', 'Thunderforest.OpenCycleMap', 'Thunderforest.Transport', 'Thunderforest.TransportDark', 'Thunderforest.SpinalMap', 'Thunderforest.Landscape', 'Thunderforest.Outdoors', 'Thunderforest.Pioneer', 'Thunderforest.MobileAtlas', 'Thunderforest.Neighbourhood', 'OpenMapSurfer.Roads', 'OpenMapSurfer.Hybrid', 'OpenMapSurfer.AdminBounds', 'OpenMapSurfer.ContourLines', 'OpenMapSurfer.Hillshade', 'OpenMapSurfer.ElementsAtRisk', 'Hydda.Full', 'Hydda.Base', 'Hydda.RoadsAndLabels', 'MapBox', 'Stamen.Toner', 'Stamen.TonerBackground', 'Stamen.TonerHybrid', 'Stamen.TonerLines', 'Stamen.TonerLabels', 'Stamen.TonerLite', 'Stamen.Watercolor', 'Stamen.Terrain', 'Stamen.TerrainBackground', 'Stamen.TopOSMRelief', 'Stamen.TopOSMFeatures', 'Esri.WorldStreetMap', 'Esri.DeLorme', 'Esri.WorldTopoMap', 'Esri.WorldImagery', 'Esri.WorldTerrain', 'Esri.WorldShadedRelief', 'Esri.WorldPhysical', 'Esri.OceanBasemap', 'Esri.NatGeoWorldMap', 'Esri.WorldGrayCanvas', 'OpenWeatherMap.Clouds', 'OpenWeatherMap.CloudsClassic', 'OpenWeatherMap.Precipitation', 'OpenWeatherMap.PrecipitationClassic', 'OpenWeatherMap.Rain', 'OpenWeatherMap.RainClassic', 'OpenWeatherMap.Pressure', 'OpenWeatherMap.PressureContour', 'OpenWeatherMap.Wind', 'OpenWeatherMap.Temperature', 'OpenWeatherMap.Snow', 'HERE.normalDay', 'HERE.normalDayCustom', 'HERE.normalDayGrey', 'HERE.normalDayMobile', 'HERE.normalDayGreyMobile', 'HERE.normalDayTransit', 'HERE.normalDayTransitMobile', 'HERE.normalNight', 'HERE.normalNightMobile', 'HERE.normalNightGrey', 'HERE.normalNightGreyMobile', 'HERE.normalNightTransit', 'HERE.normalNightTransitMobile', 'HERE.reducedDay', 'HERE.reducedNight', 'HERE.basicMap', 'HERE.mapLabels', 'HERE.trafficFlow', 'HERE.carnavDayGrey', 'HERE.hybridDay', 'HERE.hybridDayMobile', 'HERE.hybridDayTransit', 'HERE.hybridDayGrey', 'HERE.pedestrianDay', 'HERE.pedestrianNight', 'HERE.satelliteDay', 'HERE.terrainDay', 'HERE.terrainDayMobile', 'FreeMapSK', 'MtbMap', 'CartoDB.Positron', 'CartoDB.PositronNoLabels', 'CartoDB.PositronOnlyLabels', 'CartoDB.DarkMatter', 'CartoDB.DarkMatterNoLabels', 'CartoDB.DarkMatterOnlyLabels', 'CartoDB.Voyager', 'CartoDB.VoyagerNoLabels', 'CartoDB.VoyagerOnlyLabels', 'CartoDB.VoyagerLabelsUnder', 'HikeBike.HikeBike', 'HikeBike.HillShading', 'BasemapAT.basemap', 'BasemapAT.grau', 'BasemapAT.overlay', 'BasemapAT.highdpi', 'BasemapAT.orthofoto', 'nlmaps.standaard', 'nlmaps.pastel', 'nlmaps.grijs', 'nlmaps.luchtfoto', 'NASAGIBS.ModisTerraTrueColorCR', 'NASAGIBS.ModisTerraBands367CR', 'NASAGIBS.ViirsEarthAtNight2012', 'NASAGIBS.ModisTerraLSTDay', 'NASAGIBS.ModisTerraSnowCover', 'NASAGIBS.ModisTerraAOD', 'NASAGIBS.ModisTerraChlorophyll', 'NLS', 'JusticeMap.income', 'JusticeMap.americanIndian', 'JusticeMap.asian', 'JusticeMap.black', 'JusticeMap.hispanic', 'JusticeMap.multi', 'JusticeMap.nonWhite', 'JusticeMap.white', 'JusticeMap.plurality', 'Wikimedia', 'GeoportailFrance.parcels', 'GeoportailFrance.ignMaps', 'GeoportailFrance.maps', 'GeoportailFrance.orthos', 'OneMapSG.Default', 'OneMapSG.Night', 'OneMapSG.Original', 'OneMapSG.Grey', 'OneMapSG.LandLot'])" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# DataFrame of all contextily map providers\n", + "providers_df = pd.DataFrame(pstore.maps._list_contextily_providers()).T\n", + "\n", + "# list all\n", + "pstore.maps._list_contextily_providers().keys()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### [Oseries locations](#top)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# plot oseries locations\n", + "ax1 = pstore.maps.oseries(labels=True, s=100)\n", + "pstore.maps.add_background_map(ax1)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### [All stresses](#top)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# plot all stresses locations\n", + "ax2 = pstore.maps.stresses(color=\"C3\")\n", + "pstore.maps.add_background_map(ax2, map_provider=\"nlmaps.pastel\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### [Model locations](#top)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# create models to show\n", + "for o in pstore.oseries.index:\n", + " ml = pstore.create_model(o, \n", + " modelname=f'{o}_model', \n", + " add_recharge=True)\n", + " pstore.add_model(ml, overwrite=True)\n", + "\n", + "# plot model location\n", + "ax3 = pstore.maps.models(color=\"C2\", s=250, edgecolor=\"y\")\n", + "pstore.maps.add_background_map(ax3, map_provider=\"nlmaps.standaard\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### [Model statistics](#top)" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# plot model evp on map\n", + "ax4 = pstore.maps.modelstat(\"evp\", s=250, edgecolors=\"w\", linewidths=2)\n", + "pstore.maps.add_background_map(ax4, map_provider=\"Stamen.Watercolor\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### [A single model and its time series](#top)" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# plot one model, oseries and stresses\n", + "ax5 = pstore.maps.model('oseries2_model', metadata_source=\"store\", offset=250)\n", + "pstore.maps.add_background_map(ax5, map_provider=\"nlmaps.pastel\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "
" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## [Plots](#top)\n", + "\n", + "A PastaStore also has a `.plots` attribute that exposes methods for plotting timeseries or an overview of data availability. The examples below run through the different methods and how they work." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### [Plot oseries](#top)" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Get oseries: 100%|██████████| 3/3 [00:00<00:00, 16384.00it/s]\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# plot oseries\n", + "ax6 = pstore.plots.oseries()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### [Plot stresses](#top)\n", + "\n", + "When plotting stresses you can pass the `kind` argument to select only stresses of a particular kind. The `split` keyword argument allows you to plot each stress in a separate axis. Note that if there are more than 20 stresses, split is no longer supported. \n", + "\n", + "Also, you can silence the progressbar by passing `progressbar=False`." + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# plot well stresses on separate axes\n", + "ax7 = pstore.plots.stresses(kind=\"prec\", split=True, progressbar=False)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Data availability\n", + "\n", + "Plotting data availability shows time period for which data is available and also the observation timestep. Below are three examples for oseries, all stresses, and on;y the evaporation stresses. The `set_yticks` keyword determines whether the names of the time series are used as yticks. This generally works fine if the number of time series isn't too large, but for large datasets, setting it to False is recommended." + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Get oseries: 100%|██████████| 3/3 [00:00<00:00, 8665.92it/s]\n" + ] + }, + { + "data": { + "image/png": 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iSfXx9jSfA+Wvi2UPNVh+/y6Kxvom3pgeOX4JPTsnrs9mrCPLz0/vjga9jzfG9++/dxutvOrtz+Scf/gQAEsfDYb7xdjSyW0fj/ExPXvEr7je7PfUc3/Qlom76Dx2VE/L98VO6mn3Hlbct7jejPXjR9Qnv4dB6Xs30PIagonX6dCKrGXbO21vWQxa1UNvy1PZVvMcbD+mZ+YHd6D5+i++99v8iZl/AVVldX3iamZmZtbNPMfVzMzMzKphH+8qUCVOXM3MzMyqrIsS0zJOXM3MzMwqzFMFzMzMzKwSuumuAWWcuJqZmZlVmG+HZWZmZmbV0EWJaRknrmZmZmZV5sTVzMzMzKqg9MNZXZTYOnE1MzMzq7BY6AbMIyeuZmZmZlXm22GZmZmZWRV0010DyjhxNTMzM6syf+WrmZmZmVVB6X1c56cZ88KJq5mZmVmVddGIahknrmZmZmYV5tthmZmZmVk1dFFiWmY/uoGCmZmZWfeJrP0y3yQNSFo/F3V7xNXMzMyswvan22F5xNXMzMysytTB0u5w6V2S3p7WPyTpG2n9FEmflXSqpBsk3Srpi5KWp+3rJP2zpFskXSPp8Cn1ZpKukPT+2eqqE1czMzOzCpuFqQLXAS9M6+uB5ZJ6UtkdwPnAb0TECcDNwDvS9kuBV0fEOuBTwEWFOuvAZ4HNEXH+LHRzvFIzMzMzq6rOpgq8RdJbCo83RcSmtH4LsE7SgcBu4FbyBPaFwJeApwPXSwLoBW4AfgU4Fvh6Kq8BWwv1XwZ8ISKKyew+c+JqZmZmVmFlc1zT9ssj4pMtt0eMSNoCvBH4Dvko668BTwa2AF+PiP9cPEbSM4G7IuKkaZ72O8CvSfrziBjqtC9lPFXAzMzMrMr2YX5rwXXAO4FvpfWNwPeB7wL/QdKTAST1S3oKcC9wqKSTUnmPpGcU6vvfwP8FviBp1gZKnbiamZmZVdnsJa6HAzdExEPAEHBdRDxCPhL7OUl3kE8TeGpEDAOvBj4g6XbgNuD5xQoj4hLy5PczkmYl5/RUATMzM7MKm417tUbEtUBP4fFTCuvfAJ7T4pjbgJNblG8orL9n31s3wYmrmZmZWYWV3se1i+7z6sTVzMzMrMqyWOgWzBsnrmZmZmYV5m/OmmOSNko6Yy+Oe1H6doYfpJ+nzEX7zMzMzCojK1m6KLGd9xFXSfXp7iPWgUeBl0XETyUdC1wDrJm91pmZmZlVi0dcp5D0Dkl3puXcdA+vr0i6PZX9dtqv5XfWShqQ9GFJNwPnSLpQ0jvTtqMlfS0dc52kp6by16S6b5f0LYCI+H5E/DQ16y5gqaQlsxwTMzMzs+qYndthVULpiKukdcCbgBPJu38j+dd6/TQiTkv7HFT4ztpXRMQjKZm9CDgzVdUbEevT/hcWnmITsDEiNks6EfgL4BTgAuDFEfGgpBUtmvZbwK0RsbtFm88CzgJYccgqzjpxYlBWMfE/k+J67Vn5xOaxJdOcYYEarY+dtFuL+qeWaSx/rkP6ezpqW6vnapZlI3ldUVfpse3alo3m9TTqGl+PmsbbGjVN34YWxzbqEztno0GjR+NtnW6/qW1ctayHs9etmShrcw6U5qW3ivfU9WL/WvUJ0q1Fok3sW2wfLydvZ7M905nuGirGptV1WezrqmWTr6FJ9YzE+L6Nnj2vj1bXZaOu8Tg3z33zHGUj+Xmceh6Kx8PkuHZ6HU8bDzER5xTzqWrHFmIkyNLjRo/2vIZaPGez38W4Tt1v6jUz9fqdST2Nuia1eep12aw3Gw1qw41JfQ1NBGh0Wdb69VA4fxqbODbb/YQ9gwccfNhSzj5wzXj7Wp2/Vu1tFcvp+l07vtC3XpW+Tqerp5P31+na3nze6UxXT6trqBkr2PN6L2t7p+/Ps11P8Rx2ej7Lft81HdrfwxtOPQJg/DWwt20ffx/qoD3zdQ01tdr2+9OHZX6VfThLJdsrpJOpAi8Aro6InQCSrgJGgBdJ+gDw5Yi4Lv3pvt131n5+asWSlpPfrPaLmnhDbo6gXg9cIekLwFVTjnsG8AHg1FYNTt+9uwlg2eojY9ONDxJ1oAHZKDTqQAbZMDR68/IVW0YB2P7Eev7LoBAZjeb71YbS/hSOTdub+xfLm+vZcP5LN+r5et/2/JfRGS85kk035W3TaP7LptG753qzzeP3acvytoz1Qv9DeV27Dsn2eN52dTbXm/suS/UMrs7o25Zf4CP9YsljefnQimz82EmxnHJscb1p2UMNdh6e0b+1sN/Daf2wDI2m81af3Pazn7uGy259MO9rX97/2lA6f0w+l7WhfPv4eapP1NeMfTNmyx5JfTo4o1FPSVg2USfkz5cN54/H+iaf59ouGO3Pj8uGJ9pTG4bRZfl6fWeqZ2keq/G/bTQYv76a/SqWAROxWZVNXJdH1yeev9DXjSesya+hNI9Jo/k2NfJ+1nbnde38pTpjzetjtHWc+n7eYHB1RmRQH2T83O9amRF16N/aYPDQ/Dqo74Sxwt86stH8+PG4trgWm7EcP9/ZRFuK19N4PNJ50yjUducxz4Yn4tSMx4rNIylGPUQdlj+Y+nx4xsYT8mto/DxlrV+Pg4dlZMPpFLV4vSzdNrlvywqvu5nWM7g646Af50H4xZPq4+1pPgfKXxfLHmqw/P5dFI31TbwxPXL8Enp2TlyfzVhHlp+f3h0Neh+fSHz7791GK696+zO5bPPDACx9NBjuF2NLJ7d9PMbH9OwRv+J6s99Tz/1BW0bGn++xo3pavi92Uk+797DivsX1ZqwfP6I++T0MSt+7gZbXEEy8TodWZC3b3ml7y2IwW/UUz+HU89kuflPXW8Xv7HVr+Mw/PQDk7+9l9bRrb/N9qNNzP1vXUPHYVm2frp7FovQrX+enGfNiX+a4ngC8FHi/pGuBq2n/nbU7W5RlwPaIOH7qhojYmEZgTwNukbQuIrZJOiI91xkR8a/70H4zMzOz6itJXLtJJ3NcrwNOl7RMUj/wSuAWYDAi/hq4mDyJLfvO2j1ExGPAFkmvScdI0nFp/eiIuDEiLgAeAY5MUwa+Arw7Iq7fi/6amZmZdZVQ+6WblI64RsStkq4AbkpFlwPLgZskNcinDbw1IoYlvRr4qKSDUt0fJv8QVTuvAz4h6Xzyrxr7W+B24GJJx5D/P+LaVPZHwJOBCyRdkI4/NSIe7rC/ZmZmZt2li+awluloqkBEXAJcMqX4mhb73UbJd9amxxcW1rcAL2lxzKtaNOX9aTEzMzMzKP/7eReNuvqbs8zMzMyqrIsS0zJOXM3MzMyqrOx2WF3EiauZmZlZhZV+AKuLRmSduJqZmZlVmUdczczMzKwK1EUjqmWcuJqZmZlVWdntsLoosXXiamZmZlZlnXydVJdw4mpmZmZWaWVzXLtnDqwTVzMzM7MKkz+cZWZmZmaV4NthmZmZmVkVqOTDWV2UtzpxNTMzM6sy+cNZZmZmZlYJZbfD6iJOXM3MzMwqLCv7cFYXzRVw4mpmZmZWYWVzXH07LDMzMzNbHLpoRLWME1czMzOzCsvK7irQRYmtE1czMzOzCiufKtA9nLiamZmZVVjph7NmSNKFwI6I+OCsVjwLnLiamZmZVVjpVIEu+nDWfnTLWjMzM7Puk2WNtksnH96S9EeSfiTp28CvpLLfk/Q9SbdL+ntJyyQdIGmLpJ60z4HFx3PNiauZmZlZhUklS77bWyTdXFjOmjhe64DfAY4HXgo8J226KiKeExHHAfcAb46Ix4EB4LS0z++k/UbmoaueKmBmZmZWZWVTBZLLI+KT02x7IXB1RAwCSPpSKj9W0vuBFcBy4JpmXcB/A/4BeBPwe3vV8L3gxNXMzMyswmpqtN2+D3NcrwBOj4jbJb0R2AAQEddLWitpA1CLiDv39glmylMFzMzMzCqsbKpAB3NcvwWcLmmppAOAl6XyA4Ctaf7q66YccyXwN8BfzV5PyjlxNTMzM6uwWtZou5SJiFuBzwO3A18Fvpc2/U/gRuB64IdTDvsscDDwudnqRyc8VcDMzMyswspvh1UuIi4CLmqx6RPTHPIC4O8iYnsH1c+ark9cn37kam7+2HkL3YyWBgYGuO2M/7TQzVi0BgYGuH2W4nPcuR9i5xNg99rdDN23BICogcag9xdQ2w1Rh8ggG4U9pgs18rJoHlfYXhuG4QPyn+PlgrG+tNrI6x1fn/qqy/L6aeTru1Zm4/s8dmSdRm++HoW/j8TUv5WkOrLR/HkD2HVIRqM3IxtO+2eg0T3r0Cg06jB0cDapvYOHZZP233VIhlIcxt8FM8iG89XB1fn+zePH952iGeNJccgKfUrtjHo6PoOxpROx05Rjtx/TQ20oHdfI+9GMfVupnbtW7vmHp2Ybm3YflNfZjMekvqZ9BldNjt/UdUgxbsBjv1ynb3uM79PozeMbWX4tjvbB7gMzho7rZ6wP6jvzGEQG9cH8HCsm1610DQnIxoLB1RmDq9P5r8PgYYcxslzQgEYP9OzIf44c2EPftmC0T+xaJWq7ptQJbD964i432QgMHwjZWL4+tgRG+mHpzvy1Aemaal63ddjxhB5GDoDaENSGg0avJuLZyOtp9MBYDajnMWi+HiKbOFdRz6+3Ri9oePI5qw3BWO/E9VEfCoaWisePqDO6FOqpX7XdMJrqWvazBkMr8iA2evPn6HkcRvvz+kaXTVwrzb6EYOm2YHBVNun1XBuCbCQYWyLqO2H3CliyPY/Vku0T7we13Xn/h1bCAT8Jenfk18HOwzP6fpavD60QvTuCXf2iBmRDe15PkU20UY10TTTy9zQ18iZHlseWRv466dkR9OwIHjuqh9Gl8IM/n53fjQMDA9zwuf3zd5k+8o6FbgLQwTdnzfJXvkq6FPhN8jsQzKuuT1zNzMzMull97j6c1VJE/JdZrXAGnLiamZmZVVjpiGsXceJqZmZmVmH1kg9gddNXvjpxNTMzM6uw0i8gmOU5rgvJiauZmZlZhZXPce0eTlzNzMzMKmw2bodVFU5czczMzCqsdKqA57iamZmZ2WJQ+uGsLhpydeJqZmZmVmFZF42olnHiamZmZlZh9Wys7XbfDsvMzMzMFgV/OMvMzMzMKsFTBczMzMysEkqnCnTRV8I6cTUzMzOrsJqnCpiZmZlZFdTlD2eZmZmZWQWUfwFB93DiamZmZlZhPWUjrl2U2DpxNTMzM6swj7iamZmZWSX4w1lmZmZmVgn+cJaZmZmZVUKNRtvtHnE1MzMzs0Whx19AYGZmZmZV4K98NTMzM7NKqMlTBczMzMysAkrv49pFI7JOXM3MzMwqLCsZccWJq5mZmZktBuXfnDVPDZkHTlzNzMzMKqz8dlgecTUzMzOzRaB8jmv3yBbiSSVtlHTGXhz3XEm3peV2Sa+ci/aZmZmZVUVNjbaLR1z3gaR6RHxyLw+/E1gfEaOSDgdul/SPETE6i000MzMzq4z96T6uHY24SnqHpDvTcq6kfklfSaOed0r67bTfOkn/LOkWSdek5BJJA5I+LOlm4BxJF0p6Z9p2tKSvpWOuk/TUVP6aVPftkr4FEBGDhSS1j276mJyZmZnZXujRaNtlvxpxlbQOeBNwIvk0iRuBGvDTiDgt7XOQpB7gUuAVEfFISmYvAs5MVfVGxPq0/4WFp9gEbIyIzZJOBP4COAW4AHhxRDwoaUWhPScCnwKOAn7Xo61mZma2P6uVfKVrN81x7WSqwAuAqyNiJ4Ckq4AR4EWSPgB8OSKuk3QscCzwdeX3XagBWwv1fH5qxZKWA88HvqiJezUsST+vB66Q9AXgqubGiLgReIakpwGflvTViBiaUu9ZwFkAq1evZmBgoINuzr8dO3Ys2rYtBrMZn7PXrSHq0OhtkB2T/6EhBArQGJPG7hX5tunWp5YBRAZqtD5uOnu7T7Fs1bIezjpxTdu2T62jrLzd80KbGBSPzYCYWSxnGpvp9p8an7PXrSnt27T96OCYdvFoF+NsNGjU1XKfRg2aXz0+6drSNOtT29sIopYeRKEsa+4wceyh/T286ZQ1RKb8ucqugwZELa9Xjbx9UYPsKXm9LeOUjlEDiNQOFduWjm1x3ZTFfNrrOcWg2cZmf5uPEWQjE3Eaj+kYE3HIYNXSHs5+zpqJ67p57mrao11E5PcditTfMWjU83M56dxkIuqQHRU0P1PT6BHZWB6QRk0T5zDa9DEKfSvEbrw/U86hGs2A5+d6tt5f/bts4fWo/RieShLbKtmXOa4nAC8F3i/pWuBq4K6IOGma/Xe2KMuA7RFx/NQNEbExja6eBtwiaV1EbCtsv0fSDvJk+eYpx24iH8ll/fr1sWHDhpn2bV4MDAywWNu2GMxmfM4590MMrYTda3ez5L78/0bNXyy9v4Dabog6aBSyURjrm7xOI19v9EI2nP+EfF0NGD4Aeh9P+wK1oYl1jeZ1T13fY58MyCbvU3wuGvn22lD+yzDqsPGENWy66cF8/wbUhlu3N7KJ/qkxuRzyn839i8/bfC+Mel4GeXltCMZ68/YUy5v1j/XlP5t97CSW0/Z7iuZ+08WyuL7xhDVcduuDeX31ifZGNvELv1X/irGcek0Uz2Uxls36a0N53dPGvp7/7Nse7FqlSTGKLL8Wdx8MS36eX6NjfVDfCWNL8+31wbwsmtdCb6Hf6Zz07AiGD9R4LKOel40sFzSg0QM9O/KfZ524hk9/40FG+8RoP9R25c819ZzlleVtGT4wT8bqO2FsCQwfBEsfnmhvMU6Q7zdyQN7G2nDejsgmrq/6rrwto0shG8ljMLak8HrIJp6/eW1M/dnsvxr5c/c+FgwdLOq78nrru/L96jvzx1GH/n9vMLQiGz/vkUHP4+RxGILRZfDW49dw2c0PjsciBEu3BbsP1PhzNeOfjQRjS0Q2ArtXwJLtMHRI/rN5TfY8HowcIIZWwgE/CXp35AnFzsMz+n6Wrw+tEL07gl2HiNrIxDU99XrKRvM21gfzn2rk5w+l65E8ns1Y9qTnGusVo0vhB6//T61fZDPk32ULr/x2WN2jkzmu1wGnS1omqR94JXALMBgRfw1cTJ7E3gscKukkAEk9kp7RruKIeAzYIuk16RhJOi6tHx0RN0bEBcAjwJGSniipnrYfBTwVuG/GvTYzMzPrEjVF26WblI64RsStkq4AbkpFlwPLgZskNcinDbw1IoYlvRr4qKSDUt0fBu4qeYrXAZ+QdD7QA/wtcDtwsaRjyP+jcG0qez3wbkkj5GMAb4uIR2fQXzMzM7OuUjpVYH/6cBZARFwCXDKl+JoW+90GnNyifMOUxxcW1rcAL2lxzKtaNOUzaTEzMzMz/M1ZZmZmZlYR+9M3ZzlxNTMzM6uwWsmIqkdczczMzGxRyEqmCnQTJ65mZmZmFdZbOlXAI65mZmZmtghkZd+c1UWTXJ24mpmZmVVYLx5xNTMzM7MKKBtx7SZOXM3MzMwqrLfkw1mdfE1qVThxNTMzM6uwrIvmsJZx4mpmZmZWYeX3ce0eTlzNzMzMKqynJDN14mpmZmZmi0KtJDV14mpmZmZmi0JPyY1afR9XMzMzM1sUsq4aU23PiauZmZlZhe1PUwW66dZeZmZmZvudHmVtF5UlttJaSXfOU3P3iUdczczMzCosW4TjkJLqETE62/Uuvp6amZmZWcd6VGu7lI24JjVJfynpLkn/JGmppOMlfVfSHZKulnQwgKQBSevT+ipJ96X1N0r6kqRvANfORV+duJqZmZlVl8ZGRNbm3/Bw+y8oSI4BPh4RzwC2A78FXAn894h4FvAD4D0d1HMC8OqI+NW96057TlzNzMzMquvLV37xsWk33vT9IY46ogfgTEk3F5azpuy6JSJuS+u3AEcDKyLin1PZp4GTO2jP1yPiZzPqwQw4cTUzMzOrrg9//FPbGRlpPar6vku2ccF/XUlEbIqI9YVl05RddxfWx4AVbZ5zlIkcsm/Ktp0zaPuMOXE1MzMzq6iI+NnLTl1Oq1HXm74/RL0m1r3o/r2p+hfAzyW9MD3+XaA5+nofsC6tv3pvKt9bTlzNzMzMKuy88zfTatS1Odq6D94AXCzpDuB44L2p/IPAWyV9H1i1L08wU74dlpmZmVmFrVy5kuao65tfexAws9HWiLgPOLbw+IOFzc9rsf8PgWcVis5P5VcAV8y8B53ziKuZmZlZxU0ddZ2F0dZFySOuZmZmZhVXHHV95tOW7Mvc1kXNiauZmZlZFzjv/M2ccvLhrD60zp/84SEL3Zw54akCZmZmZl1g5cqVvPzFy1na152jrQCK6OjbFCpL0iPATxa6HdNYBTy60I1YxByfco5Re45POceoPcen3P4co6Mi4tCFbsT+pOsT18VM0s0RsX6h27FYOT7lHKP2HJ9yjlF7jk85x8jmk6cKmJmZmVklOHE1MzMzs0pw4rqwpn5PsE3m+JRzjNpzfMo5Ru05PuUcI5s3nuNqZmZmZpXgEVczMzMzqwQnrrNI0qckPSzpzkLZcZJukPQDSf8o6cBU3iPp06n8Hkn/o3DMeZLuknSnpM9J6luI/syFGcaoV9JfpfLbJW1I5cskfUXSD1Oc/mxhejP7ZiM+hW2bJP0oxem35r83c0PSkZK+KenudP7PSeUrJX1d0ub08+BULkkflfQvku6QdEKhrjek/TdLesNC9Wk2zWZ80vYDJT0g6WML0Z+5MMvX0P9KddyT9tFC9Wu27EV8npreo3ZLemdZPWb7JCK8zNICnAycANxZKPse8Ktp/UzgfWn9tcDfpvVlwH3AWmANsAVYmrZ9AXjjQvdtgWL0+8BfpfXDgFvI/7O1DPi1VN4LXAf85kL3bbHEJz3+Y+D9aT0DVi1032YxRocDJ6T1A4AfAU8H/hfw7lT+buADaf2lwFcBAc8DbkzlK4Efp58Hp/WDF7p/iyU+hfo+AvwN8LGF7ttiixHwfOB6oJaWG4ANC92/BYjPYcBzgIuAd5bVs9D981LtxSOusygivgX8bErxU4BvpfWvA82RrwD6JdWBpcAw8FjaVgeWpm3LgJ/OZbvn0wxj9HTgG+m4h4HtwPqIGIyIb6byYeBW4Ii5bfn8mI34pG1nAn+atjUiomtuDh4RWyPi1rT+OHAP+X/4XgF8Ou32aeD0tP4K4MrIfRdYIelw4MXA1yPiZxHxc/LYvmT+ejI3ZjE+SFoHrAb+af56MPdmMUYB9JH/B3oJ0AM8NF/9mCszjU9EPBwR3wNGOqzHbK85cZ17d5G/2AFeAxyZ1v8O2AlsBe4HPph+gT4IfDCVbQV+ERFd9UujhelidDvwckl1SU8E1hW2ASBpBfAy4Nr5aeqCmFF8UkwA3ifpVklflLR6Xls8TyStBZ4N3AisjoitadO/kydckP+i/LfCYQ+ksunKu8a+xEdSBvw58E662L7EKCJuAL5J/l69FbgmIu6Zj3bPlw7jM9N6zPaaE9e5dybwNkm3kP+pZDiVPxcYA54APBH4r5KelOYMvSKVPYF8VPb189/seTVdjD5F/gviZuDDwHfIYwZAGpH+HPDRiPjxfDZ4ns00PnXyEejvRMQJ5H++/OA8t3nOSVoO/D1wbkQ8VtwWEUE+GrbfmoX4vA34vxHxwBw1ccHta4wkPRl4GvnrbQ1wiqQXzlFz591svcba1WM2U/WFbkC3i4gfAqcCSHoKcFra9FrgaxExAjws6XryP/MGsCUiHknHXEU+j+qv57vt82W6GEXEKHBecz9J3yGfI9W0CdgcER+et8YugL2IzzZgELgqbfoi8OZ5bPKck9RD/ovwsxHR7OdDkg6PiK3pz7gPp/IHmTxSf0QqexDYMKV8YC7bPV9mKT4nAS+U9DZgOdAraUdEvHt+ejG3ZilGrwe+GxE7Up1fJY/bdfPRh7k0w/jMtB6zveYR1zkm6bD0MwPOBz6ZNt0PnJK29ZNP+P9hKn+e8k/OC/h18nlBXWu6GKUY9Kf1FwGjEXF3evx+4CDg3IVo83yaaXzSSMg/MpGU/Tpw93y3e66k18X/Bu6JiEsKm74ENO8M8Abg/xTKz0ifDH8e+fSbrcA1wKmSDk5/6Tg1lVXabMUnIl4XEb8cEWvJpwtc2UVJ62xdQ/cDv5qm6/QAv0oXvF/vRXxmWo/Z3pvLT37tbwv5n623kk9Qf4B8lOsc8lGwHwF/xsSXPiwnHwm7izypeFehnj8mT2LvBD4DLFnovi1QjNYC95L/Ivh/wFGp/Ajykel7gNvS8paF7ttiiU/adhT5B7ruIJ//+8sL3bdZjNEL0vm/o3D+Xwockvq6OcVjZdpfwMeBfwV+QP4Bv2ZdZwL/kpY3LXTfFlt8CnW+ke66q8CsxIj8TgKXpdfg3cAlC923BYrPL6X3q8fIPyT6AHDgdPUsdP+8VHvxN2eZmZmZWSV4qoCZmZmZVYITVzMzMzOrBCeuZmZmZlYJTlzNzMzMrBKcuJqZmZlZJThxNTMzM7NKcOJqZmZmZpXgxNXMzMzMKuH/AzfzOcY2OMGkAAAAAElFTkSuQmCC\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# plot data availability for oseries\n", + "ax8 = pstore.plots.data_availability(\"oseries\", set_yticks=True, figsize=(10, 3))" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Get stresses: 100%|██████████| 5/5 [00:00<00:00, 10677.96it/s]\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# plot data availability for all stresses\n", + "ax9 = pstore.plots.data_availability(\"stresses\", set_yticks=True, figsize=(10, 3))" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Get stresses: 100%|██████████| 2/2 [00:00<00:00, 12372.58it/s]\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# plot data availability only stresses with kind=\"well\"\n", + "ax10 = pstore.plots.data_availability(\"stresses\", kind=\"evap\", set_yticks=True, figsize=(10, 2))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.6" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} From 445c53dc2e57774121b87dc5b3ae23f798fcc7ab Mon Sep 17 00:00:00 2001 From: dbrakenhoff Date: Thu, 2 Sep 2021 22:18:11 +0200 Subject: [PATCH 33/41] add to docs --- docs/examples/003_pastastore_plots_and_maps.nblink | 3 +++ 1 file changed, 3 insertions(+) create mode 100644 docs/examples/003_pastastore_plots_and_maps.nblink diff --git a/docs/examples/003_pastastore_plots_and_maps.nblink b/docs/examples/003_pastastore_plots_and_maps.nblink new file mode 100644 index 00000000..ecd54378 --- /dev/null +++ b/docs/examples/003_pastastore_plots_and_maps.nblink @@ -0,0 +1,3 @@ +{ + "path": "../../examples/notebooks/ex03_pastastore_plots_and_maps.ipynb" +} From 7a49c7b38c2e554576cc0394aafe5427ffe47a77 Mon Sep 17 00:00:00 2001 From: dbrakenhoff Date: Thu, 2 Sep 2021 22:18:24 +0200 Subject: [PATCH 34/41] rerun nb2 --- ...introduction_to_pastastore_databases.ipynb | 208 +++++++++--------- 1 file changed, 104 insertions(+), 104 deletions(-) diff --git a/examples/notebooks/ex02_introduction_to_pastastore_databases.ipynb b/examples/notebooks/ex02_introduction_to_pastastore_databases.ipynb index 54aa3b37..51199e95 100644 --- a/examples/notebooks/ex02_introduction_to_pastastore_databases.ipynb +++ b/examples/notebooks/ex02_introduction_to_pastastore_databases.ipynb @@ -320,18 +320,18 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "\n", - " \n", - " " + "\n", + " \n", + " " ] }, - "execution_count": 12, + "execution_count": 11, "metadata": {}, "output_type": "execute_result" } @@ -343,7 +343,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 12, "metadata": {}, "outputs": [ { @@ -352,7 +352,7 @@ "PyStore.collection " ] }, - "execution_count": 13, + "execution_count": 12, "metadata": {}, "output_type": "execute_result" } @@ -364,7 +364,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 13, "metadata": {}, "outputs": [ { @@ -373,7 +373,7 @@ "'/home/david/Github/pastastore/examples/notebooks/pas/stresses'" ] }, - "execution_count": 14, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" } @@ -405,7 +405,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 14, "metadata": {}, "outputs": [], "source": [ @@ -421,7 +421,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 15, "metadata": {}, "outputs": [ { @@ -431,7 +431,7 @@ " - 'my_second_connector': 0 oseries, 0 stresses, 0 models" ] }, - "execution_count": 16, + "execution_count": 15, "metadata": {}, "output_type": "execute_result" } @@ -449,7 +449,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 16, "metadata": {}, "outputs": [ { @@ -458,7 +458,7 @@ " 'my_second_connector': 0 oseries, 0 stresses, 0 models>" ] }, - "execution_count": 18, + "execution_count": 16, "metadata": {}, "output_type": "execute_result" } @@ -469,7 +469,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 17, "metadata": {}, "outputs": [ { @@ -478,7 +478,7 @@ " 'my_second_connector': 0 oseries, 0 stresses, 0 models>" ] }, - "execution_count": 19, + "execution_count": 17, "metadata": {}, "output_type": "execute_result" } @@ -509,7 +509,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 18, "metadata": {}, "outputs": [ { @@ -575,7 +575,7 @@ "1986-01-13 28.32" ] }, - "execution_count": 20, + "execution_count": 18, "metadata": {}, "output_type": "execute_result" } @@ -596,7 +596,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 19, "metadata": {}, "outputs": [], "source": [ @@ -612,7 +612,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 20, "metadata": {}, "outputs": [ { @@ -622,7 +622,7 @@ " - 'my_second_connector': 1 oseries, 0 stresses, 0 models" ] }, - "execution_count": 22, + "execution_count": 20, "metadata": {}, "output_type": "execute_result" } @@ -640,7 +640,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 21, "metadata": {}, "outputs": [], "source": [ @@ -659,7 +659,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 22, "metadata": {}, "outputs": [ { @@ -669,7 +669,7 @@ " - 'my_second_connector': 1 oseries, 2 stresses, 0 models" ] }, - "execution_count": 24, + "execution_count": 22, "metadata": {}, "output_type": "execute_result" } @@ -689,7 +689,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 23, "metadata": {}, "outputs": [ { @@ -755,7 +755,7 @@ "1986-01-13 28.32" ] }, - "execution_count": 25, + "execution_count": 23, "metadata": {}, "output_type": "execute_result" } @@ -774,7 +774,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 24, "metadata": {}, "outputs": [ { @@ -812,7 +812,7 @@ " [13476 rows x 1 columns]}" ] }, - "execution_count": 26, + "execution_count": 24, "metadata": {}, "output_type": "execute_result" } @@ -831,7 +831,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 25, "metadata": {}, "outputs": [ { @@ -871,7 +871,7 @@ " oseries1\n", " 100300\n", " 400400\n", - " 2021-06-22 13:01:09.612528\n", + " 2021-09-02 18:06:34.712981\n", " \n", " \n", "\n", @@ -880,10 +880,10 @@ "text/plain": [ " x y _updated\n", "name \n", - "oseries1 100300 400400 2021-06-22 13:01:09.612528" + "oseries1 100300 400400 2021-09-02 18:06:34.712981" ] }, - "execution_count": 27, + "execution_count": 25, "metadata": {}, "output_type": "execute_result" } @@ -902,7 +902,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 26, "metadata": {}, "outputs": [ { @@ -945,14 +945,14 @@ " 100300.0\n", " 400400.0\n", " prec\n", - " 2021-06-22 13:01:10.946286\n", + " 2021-09-02 18:06:34.756456\n", " \n", " \n", " evap1\n", " 100300.0\n", " 400400.0\n", " evap\n", - " 2021-06-22 13:01:10.973078\n", + " 2021-09-02 18:06:34.780599\n", " \n", " \n", "\n", @@ -961,11 +961,11 @@ "text/plain": [ " x y kind _updated\n", "name \n", - "prec1 100300.0 400400.0 prec 2021-06-22 13:01:10.946286\n", - "evap1 100300.0 400400.0 evap 2021-06-22 13:01:10.973078" + "prec1 100300.0 400400.0 prec 2021-09-02 18:06:34.756456\n", + "evap1 100300.0 400400.0 evap 2021-09-02 18:06:34.780599" ] }, - "execution_count": 28, + "execution_count": 26, "metadata": {}, "output_type": "execute_result" } @@ -995,7 +995,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 27, "metadata": {}, "outputs": [ { @@ -1035,7 +1035,7 @@ " oseries1\n", " 100300\n", " 400400\n", - " 2021-06-22 13:01:09.612528\n", + " 2021-09-02 18:06:34.712981\n", " \n", " \n", "\n", @@ -1044,10 +1044,10 @@ "text/plain": [ " x y _updated\n", "name \n", - "oseries1 100300 400400 2021-06-22 13:01:09.612528" + "oseries1 100300 400400 2021-09-02 18:06:34.712981" ] }, - "execution_count": 29, + "execution_count": 27, "metadata": {}, "output_type": "execute_result" } @@ -1058,7 +1058,7 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 28, "metadata": {}, "outputs": [ { @@ -1097,18 +1097,18 @@ " \n", " \n", " \n", - " evap1\n", + " prec1\n", " 100300.0\n", " 400400.0\n", - " evap\n", - " 2021-06-22 13:01:10.973078\n", + " prec\n", + " 2021-09-02 18:06:34.756456\n", " \n", " \n", - " prec1\n", + " evap1\n", " 100300.0\n", " 400400.0\n", - " prec\n", - " 2021-06-22 13:01:10.946286\n", + " evap\n", + " 2021-09-02 18:06:34.780599\n", " \n", " \n", "\n", @@ -1117,11 +1117,11 @@ "text/plain": [ " x y kind _updated\n", "name \n", - "evap1 100300.0 400400.0 evap 2021-06-22 13:01:10.973078\n", - "prec1 100300.0 400400.0 prec 2021-06-22 13:01:10.946286" + "prec1 100300.0 400400.0 prec 2021-09-02 18:06:34.756456\n", + "evap1 100300.0 400400.0 evap 2021-09-02 18:06:34.780599" ] }, - "execution_count": 30, + "execution_count": 28, "metadata": {}, "output_type": "execute_result" } @@ -1151,7 +1151,7 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 29, "metadata": {}, "outputs": [ { @@ -1169,7 +1169,7 @@ "Model(oseries=oseries1, name=oseries1, constant=True, noisemodel=True)" ] }, - "execution_count": 31, + "execution_count": 29, "metadata": {}, "output_type": "execute_result" } @@ -1193,7 +1193,7 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 30, "metadata": {}, "outputs": [], "source": [ @@ -1213,7 +1213,7 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 31, "metadata": {}, "outputs": [ { @@ -1231,7 +1231,7 @@ "Model(oseries=oseries1, name=oseries1, constant=True, noisemodel=True)" ] }, - "execution_count": 33, + "execution_count": 31, "metadata": {}, "output_type": "execute_result" } @@ -1252,7 +1252,7 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 32, "metadata": {}, "outputs": [ { @@ -1261,7 +1261,7 @@ "{'oseries1'}" ] }, - "execution_count": 34, + "execution_count": 32, "metadata": {}, "output_type": "execute_result" } @@ -1281,7 +1281,7 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 33, "metadata": {}, "outputs": [], "source": [ @@ -1297,7 +1297,7 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 34, "metadata": {}, "outputs": [ { @@ -1307,7 +1307,7 @@ " - 'my_second_connector': 1 oseries, 2 stresses, 0 models" ] }, - "execution_count": 36, + "execution_count": 34, "metadata": {}, "output_type": "execute_result" } @@ -1318,7 +1318,7 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 35, "metadata": {}, "outputs": [ { @@ -1327,7 +1327,7 @@ "set()" ] }, - "execution_count": 37, + "execution_count": 35, "metadata": {}, "output_type": "execute_result" } @@ -1354,7 +1354,7 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 36, "metadata": {}, "outputs": [], "source": [ @@ -1385,7 +1385,7 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 37, "metadata": {}, "outputs": [ { @@ -1395,7 +1395,7 @@ " - 'my_second_connector': 2 oseries, 4 stresses, 0 models" ] }, - "execution_count": 39, + "execution_count": 37, "metadata": {}, "output_type": "execute_result" } @@ -1420,7 +1420,7 @@ }, { "cell_type": "code", - "execution_count": 40, + "execution_count": 38, "metadata": {}, "outputs": [], "source": [ @@ -1430,14 +1430,14 @@ }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 39, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "Bulk creation models: 100%|██████████| 2/2 [00:01<00:00, 1.10it/s]\n" + "Bulk creation models: 100%|██████████| 2/2 [00:00<00:00, 9.70it/s]\n" ] } ], @@ -1458,7 +1458,7 @@ }, { "cell_type": "code", - "execution_count": 42, + "execution_count": 40, "metadata": {}, "outputs": [ { @@ -1468,7 +1468,7 @@ " - 'my_second_connector': 2 oseries, 4 stresses, 2 models" ] }, - "execution_count": 42, + "execution_count": 40, "metadata": {}, "output_type": "execute_result" } @@ -1479,14 +1479,14 @@ }, { "cell_type": "code", - "execution_count": 43, + "execution_count": 41, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "Solving models: 100%|██████████| 2/2 [00:01<00:00, 1.27it/s]\n" + "Solving models: 100%|██████████| 2/2 [00:01<00:00, 1.31it/s]\n" ] } ], @@ -1503,7 +1503,7 @@ }, { "cell_type": "code", - "execution_count": 44, + "execution_count": 42, "metadata": {}, "outputs": [ { @@ -1537,15 +1537,6 @@ " \n", " \n", " \n", - " oseries2\n", - " 601.949895\n", - " 1.019936\n", - " 143.387453\n", - " -1.373348\n", - " 28.043461\n", - " 69.749209\n", - " \n", - " \n", " oseries1\n", " 682.471697\n", " 1.018208\n", @@ -1554,21 +1545,30 @@ " 27.882265\n", " 50.095304\n", " \n", + " \n", + " oseries2\n", + " 601.949895\n", + " 1.019936\n", + " 143.387453\n", + " -1.373348\n", + " 28.043461\n", + " 69.749209\n", + " \n", " \n", "\n", "" ], "text/plain": [ " recharge_A recharge_n recharge_a recharge_f constant_d \\\n", - "oseries2 601.949895 1.019936 143.387453 -1.373348 28.043461 \n", "oseries1 682.471697 1.018208 150.380829 -1.271033 27.882265 \n", + "oseries2 601.949895 1.019936 143.387453 -1.373348 28.043461 \n", "\n", " noise_alpha \n", - "oseries2 69.749209 \n", - "oseries1 50.095304 " + "oseries1 50.095304 \n", + "oseries2 69.749209 " ] }, - "execution_count": 44, + "execution_count": 42, "metadata": {}, "output_type": "execute_result" } @@ -1580,7 +1580,7 @@ }, { "cell_type": "code", - "execution_count": 45, + "execution_count": 43, "metadata": {}, "outputs": [ { @@ -1610,26 +1610,26 @@ " \n", " \n", " \n", - " oseries2\n", - " 88.254506\n", - " 0.127012\n", - " \n", - " \n", " oseries1\n", " 92.904623\n", " 0.114492\n", " \n", + " \n", + " oseries2\n", + " 88.254506\n", + " 0.127012\n", + " \n", " \n", "\n", "" ], "text/plain": [ " evp rmse\n", - "oseries2 88.254506 0.127012\n", - "oseries1 92.904623 0.114492" + "oseries1 92.904623 0.114492\n", + "oseries2 88.254506 0.127012" ] }, - "execution_count": 45, + "execution_count": 43, "metadata": {}, "output_type": "execute_result" } @@ -1650,7 +1650,7 @@ }, { "cell_type": "code", - "execution_count": 46, + "execution_count": 44, "metadata": {}, "outputs": [ { @@ -1658,9 +1658,9 @@ "output_type": "stream", "text": [ "Deleting ArcticConnector database: 'my_connector' ...\n", - " - deleted: my_connector.models\n", " - deleted: my_connector.stresses\n", " - deleted: my_connector.oseries\n", + " - deleted: my_connector.models\n", "... Done!\n" ] } @@ -1671,7 +1671,7 @@ }, { "cell_type": "code", - "execution_count": 47, + "execution_count": 45, "metadata": {}, "outputs": [ { @@ -1688,7 +1688,7 @@ }, { "cell_type": "code", - "execution_count": 48, + "execution_count": 46, "metadata": {}, "outputs": [ { @@ -1713,9 +1713,9 @@ ], "metadata": { "kernelspec": { - "display_name": "dev", + "display_name": "Python 3", "language": "python", - "name": "dev" + "name": "python3" }, "language_info": { "codemirror_mode": { @@ -1727,7 +1727,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.4" + "version": "3.7.6" }, "toc-showtags": false }, From e37d4f48481ce201fc748caea6d8906324638eea Mon Sep 17 00:00:00 2001 From: dbrakenhoff Date: Fri, 3 Sep 2021 09:49:43 +0200 Subject: [PATCH 35/41] whitespace --- pastastore/store.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pastastore/store.py b/pastastore/store.py index e351948e..87e5d8bb 100644 --- a/pastastore/store.py +++ b/pastastore/store.py @@ -790,7 +790,7 @@ def search(self, libname: str, s: str, case_sensitive=False): libname : str name of the library to search in s : str - find names starting with this string or part of string + find names starting with this string or part of string case_sensitive : bool, optional whether search should be case sensitive, by default False From f97e5f2b24100f5e638852038e688b022fe6cedd Mon Sep 17 00:00:00 2001 From: dbrakenhoff Date: Fri, 3 Sep 2021 11:17:58 +0200 Subject: [PATCH 36/41] add empty library method to connector class remove empty_library from utils update tests --- pastastore/base.py | 27 +++++++++++++ pastastore/util.py | 76 +++++++----------------------------- tests/test_002_connectors.py | 23 ++++++++--- 3 files changed, 58 insertions(+), 68 deletions(-) diff --git a/pastastore/base.py b/pastastore/base.py index c431969d..62e0592c 100644 --- a/pastastore/base.py +++ b/pastastore/base.py @@ -683,6 +683,33 @@ def get_models(self, names: Union[list, str], return_dict: bool = False, else: return models + def empty_library(self, libname: str, prompt: bool = True, + progressbar: bool = True): + """Empty library of all its contents. + + Parameters + ---------- + libname : str + name of the library + prompt : bool, optional + prompt user for input before deleting + contents, by default True. Default answer is + "n", user must enter 'y' to delete contents + progressbar : bool, optional + show progressbar, by default True + """ + if prompt: + ui = input(f"Do you want to empty '{libname}'" + " library of all its contents? [y/N] ") + if ui.lower() != "y": + return + names = self._parse_names(None, libname) + for name in (tqdm(names, desc=f"Deleting items from {libname}") + if progressbar else names): + self._del_item(libname, name) + print(f"Emptied library {libname} in {self.name}: " + f"{self.__class__}") + @ staticmethod def _clear_cache(libname: str) -> None: """Clear cached property.""" diff --git a/pastastore/util.py b/pastastore/util.py index 414f75ee..a51d1d64 100644 --- a/pastastore/util.py +++ b/pastastore/util.py @@ -16,29 +16,25 @@ class ItemInLibraryException(Exception): pass -def delete_pystore_connector(path: Optional[str] = None, +def delete_pystore_connector(conn=None, + path: Optional[str] = None, name: Optional[str] = None, - conn=None, libraries: Optional[List[str]] = None) -> None: """Delete libraries from pystore. Parameters ---------- + conn : PystoreConnector, optional + PystoreConnector object path : str, optional path to pystore name : str, optional name of the pystore - conn : PystoreConnector, optional - PystoreConnector object libraries : Optional[List[str]], optional list of library names to delete, by default None which deletes all libraries """ - try: - import pystore - except ModuleNotFoundError as e: - print("Please install `pystore`!") - raise e + import pystore if conn is not None: name = conn.name @@ -59,29 +55,25 @@ def delete_pystore_connector(path: Optional[str] = None, print(f" - deleted: {lib}") -def delete_arctic_connector(connstr: Optional[str] = None, +def delete_arctic_connector(conn=None, + connstr: Optional[str] = None, name: Optional[str] = None, - conn=None, libraries: Optional[List[str]] = None) -> None: """Delete libraries from arctic database. Parameters ---------- + conn : pastastore.ArcticConnector + ArcticConnector object connstr : str, optional connection string to the database name : str, optional name of the database - conn : pastastore.ArcticConnector - ArcticConnector object libraries : Optional[List[str]], optional list of library names to delete, by default None which deletes all libraries """ - try: - import arctic - except ModuleNotFoundError as e: - print("Please install `arctic`!") - raise e + import arctic if conn is not None: name = conn.name @@ -173,48 +165,6 @@ def delete_pastastore(pstore, libraries: Optional[List[str]] = None) -> None: f"{pstore.conn.conn_type}") -def empty_library(pstore, libname: str, - progressbar: Optional[bool] = True) -> None: - """Empty an entire library in a PastaStore. - - Parameters - ---------- - pstore : pastastore.PastaStore - PastaStore object to delete library contents from - libname : str - name of the library to delete all items from - progressbar : bool, optional - if True show progressbar (default) - """ - conn = pstore.conn - lib = conn._get_library(libname) - names = conn._parse_names(None, libname) - - if pstore.conn.conn_type == "arctic": - for name in (tqdm(names, desc=f"Deleting items from {libname}") - if progressbar else names): - lib.delete(name) - conn._clear_cache(libname) - elif pstore.conn.conn_type == "pystore": - for name in (tqdm(names, desc=f"Deleting items from {libname}") - if progressbar else names): - lib.delete_item(name) - conn._clear_cache(libname) - elif pstore.conn.conn_type == "dict": - for name in (tqdm(names, desc=f"Deleting items from {libname}") - if progressbar else names): - _ = lib.pop(name) - elif pstore.conn.conn_type == "pas]": - for name in (tqdm(names, desc=f"Deleting items from {libname}") - if progressbar else names): - pstore.conn._del_item(libname, name) - else: - raise ValueError(f"Connector type '{pstore.conn.conn_type}' " - "not recognized!") - - print(f"Emptied library {libname} in {conn.name}: {conn.__class__}") - - def validate_names(s: Optional[str] = None, d: Optional[dict] = None, replace_space: Optional[str] = "_", deletechars: Optional[str] = None, **kwargs) \ @@ -346,11 +296,13 @@ def compare_models(ml1, ml2, stats=None, detailed_comparison=False): elif i == 1: # ValueError if series cannot be compared, set result to False try: - compare_so1 = (so1[counter] == ts.series_original).all() + compare_so1 = ( + so1[counter] == ts.series_original).all() except ValueError: compare_so1 = False try: - compare_sv1 = (sv1[counter] == ts.series_validated).all() + compare_sv1 = ( + sv1[counter] == ts.series_validated).all() except ValueError: compare_sv1 = False try: diff --git a/tests/test_002_connectors.py b/tests/test_002_connectors.py index 836fbbe4..58494161 100644 --- a/tests/test_002_connectors.py +++ b/tests/test_002_connectors.py @@ -176,12 +176,23 @@ def test_del_stress(request, conn): @pytest.mark.dependency() def test_delete(request, conn): + s1 = pd.Series(index=pd.date_range("2000", periods=10, freq="D"), data=1.0) + s1.name = "test_series" + conn.add_oseries(s1, "test_series", metadata=None) + conn.empty_library("stresses", prompt=False, progressbar=False) + return + + +@pytest.mark.dependency() +def test_delete(request, conn): + # no need to delete dictconnector (in memory) if conn.conn_type == "arctic": - pst.util.delete_arctic_connector( - conn.connstr, conn.name, libraries=["oseries"]) - pst.util.delete_arctic_connector(conn.connstr, conn.name) + pst.util.delete_arctic_connector(conn, libraries=["oseries"]) + pst.util.delete_arctic_connector(conn) elif conn.conn_type == "pystore": - pst.util.delete_pystore_connector( - conn.path, conn.name, libraries=["oseries"]) - pst.util.delete_pystore_connector(conn.path, conn.name) + pst.util.delete_pystore_connector(conn, libraries=["oseries"]) + pst.util.delete_pystore_connector(conn) + elif conn.conn_type == "pas": + pst.util.delete_pas_connector(conn, libraries=["oseries"]) + pst.util.delete_pas_connector(conn) return From da468adc9982ed6dcc61d0bc91d4eb73aabbd771 Mon Sep 17 00:00:00 2001 From: dbrakenhoff Date: Fri, 3 Sep 2021 11:18:19 +0200 Subject: [PATCH 37/41] whitespace --- pastastore/base.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/pastastore/base.py b/pastastore/base.py index 62e0592c..6f880d10 100644 --- a/pastastore/base.py +++ b/pastastore/base.py @@ -692,8 +692,8 @@ def empty_library(self, libname: str, prompt: bool = True, libname : str name of the library prompt : bool, optional - prompt user for input before deleting - contents, by default True. Default answer is + prompt user for input before deleting + contents, by default True. Default answer is "n", user must enter 'y' to delete contents progressbar : bool, optional show progressbar, by default True From 7565f843763c5d4c2c60ce44dca8fce448dfe7f0 Mon Sep 17 00:00:00 2001 From: dbrakenhoff Date: Fri, 3 Sep 2021 11:19:22 +0200 Subject: [PATCH 38/41] formatting --- pastastore/store.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pastastore/store.py b/pastastore/store.py index 87e5d8bb..1bbe2136 100644 --- a/pastastore/store.py +++ b/pastastore/store.py @@ -9,7 +9,7 @@ from pastas.io.pas import pastas_hook from tqdm import tqdm -from .plotting import Plots, Maps +from .plotting import Maps, Plots from .util import _custom_warning FrameorSeriesUnion = Union[pd.DataFrame, pd.Series] From f7cae022a0515c899ea0633dc14e3db961df8600 Mon Sep 17 00:00:00 2001 From: dbrakenhoff Date: Fri, 3 Sep 2021 13:46:27 +0200 Subject: [PATCH 39/41] flake8 issues --- pastastore/base.py | 20 +++++++++++++------- pastastore/connectors.py | 3 ++- pastastore/store.py | 3 ++- pastastore/util.py | 3 ++- tests/test_002_connectors.py | 2 +- 5 files changed, 20 insertions(+), 11 deletions(-) diff --git a/pastastore/base.py b/pastastore/base.py index 6f880d10..894d306b 100644 --- a/pastastore/base.py +++ b/pastastore/base.py @@ -708,7 +708,7 @@ def empty_library(self, libname: str, prompt: bool = True, if progressbar else names): self._del_item(libname, name) print(f"Emptied library {libname} in {self.name}: " - f"{self.__class__}") + f"{self.__class__}") @ staticmethod def _clear_cache(libname: str) -> None: @@ -842,8 +842,10 @@ def _parse_model_dict(self, mdict: dict, mdict['oseries']['series'] = self.get_oseries(name) # update tmin/tmax from timeseries if update_ts_settings: - mdict["oseries"]["settings"]["tmin"] = mdict['oseries']['series'].index[0] - mdict["oseries"]["settings"]["tmax"] = mdict['oseries']['series'].index[-1] + mdict["oseries"]["settings"]["tmin"] = \ + mdict['oseries']['series'].index[0] + mdict["oseries"]["settings"]["tmax"] = \ + mdict['oseries']['series'].index[-1] # StressModel, StressModel2, WellModel for ts in mdict["stressmodels"].values(): @@ -855,8 +857,10 @@ def _parse_model_dict(self, mdict: dict, stress['series'] = self.get_stresses(name) # update tmin/tmax from timeseries if update_ts_settings: - stress["settings"]["tmin"] = stress['series'].index[0] - stress["settings"]["tmax"] = stress['series'].index[-1] + stress["settings"]["tmin"] = \ + stress['series'].index[0] + stress["settings"]["tmax"] = \ + stress['series'].index[-1] # RechargeModel if ("prec" in ts.keys()) and ("evap" in ts.keys()): @@ -867,8 +871,10 @@ def _parse_model_dict(self, mdict: dict, stress['series'] = self.get_stresses(name) # update tmin/tmax from timeseries if update_ts_settings: - stress["settings"]["tmin"] = stress['series'].index[0] - stress["settings"]["tmax"] = stress['series'].index[-1] + stress["settings"]["tmin"] = \ + stress['series'].index[0] + stress["settings"]["tmax"] = \ + stress['series'].index[-1] else: msg = "stress '{}' not present in project".format( name) diff --git a/pastastore/connectors.py b/pastastore/connectors.py index d55619d8..17d960cf 100644 --- a/pastastore/connectors.py +++ b/pastastore/connectors.py @@ -306,7 +306,8 @@ def _get_item(self, libname: str, name: str) \ # read series and convert to pandas item = lib.item(name) s = item.to_pandas() - # remove _is_series key and return pd.Series if user passed in Series + # remove _is_series key and return pd.Series + # if user passed in Series is_series = item.metadata.pop("_is_series") if is_series: s = s.squeeze() diff --git a/pastastore/store.py b/pastastore/store.py index 1bbe2136..2d9c78ec 100644 --- a/pastastore/store.py +++ b/pastastore/store.py @@ -739,7 +739,8 @@ def export_model_series_to_csv(self, os.path.join(exportdir, f"metadata_{name}.csv")) @classmethod - def from_zip(cls, fname: str, conn, storename: Optional[str] = None, progressbar: bool = True): + def from_zip(cls, fname: str, conn, storename: Optional[str] = None, + progressbar: bool = True): """Load PastaStore from zipfile. Parameters diff --git a/pastastore/util.py b/pastastore/util.py index a51d1d64..e17d27e0 100644 --- a/pastastore/util.py +++ b/pastastore/util.py @@ -294,7 +294,8 @@ def compare_models(ml1, ml2, stats=None, detailed_comparison=False): df.loc[f" - {ts.name}: series"] = True elif i == 1: - # ValueError if series cannot be compared, set result to False + # ValueError if series cannot be compared, + # set result to False try: compare_so1 = ( so1[counter] == ts.series_original).all() diff --git a/tests/test_002_connectors.py b/tests/test_002_connectors.py index 58494161..943ccfa5 100644 --- a/tests/test_002_connectors.py +++ b/tests/test_002_connectors.py @@ -175,7 +175,7 @@ def test_del_stress(request, conn): @pytest.mark.dependency() -def test_delete(request, conn): +def test_empty_library(request, conn): s1 = pd.Series(index=pd.date_range("2000", periods=10, freq="D"), data=1.0) s1.name = "test_series" conn.add_oseries(s1, "test_series", metadata=None) From 7cbfb73daa82747c89373d8a7a427095201d0d36 Mon Sep 17 00:00:00 2001 From: dbrakenhoff Date: Fri, 3 Sep 2021 14:29:32 +0200 Subject: [PATCH 40/41] whitespace --- pastastore/connectors.py | 2 +- pastastore/util.py | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/pastastore/connectors.py b/pastastore/connectors.py index 17d960cf..e6155915 100644 --- a/pastastore/connectors.py +++ b/pastastore/connectors.py @@ -306,7 +306,7 @@ def _get_item(self, libname: str, name: str) \ # read series and convert to pandas item = lib.item(name) s = item.to_pandas() - # remove _is_series key and return pd.Series + # remove _is_series key and return pd.Series # if user passed in Series is_series = item.metadata.pop("_is_series") if is_series: diff --git a/pastastore/util.py b/pastastore/util.py index e17d27e0..18a85871 100644 --- a/pastastore/util.py +++ b/pastastore/util.py @@ -294,7 +294,7 @@ def compare_models(ml1, ml2, stats=None, detailed_comparison=False): df.loc[f" - {ts.name}: series"] = True elif i == 1: - # ValueError if series cannot be compared, + # ValueError if series cannot be compared, # set result to False try: compare_so1 = ( From 6163d1cdb16e16626e9c2f4f5d3aa0b4ead1e653 Mon Sep 17 00:00:00 2001 From: dbrakenhoff Date: Fri, 3 Sep 2021 14:37:14 +0200 Subject: [PATCH 41/41] remove empty library from util docs --- docs/utils.rst | 1 - 1 file changed, 1 deletion(-) diff --git a/docs/utils.rst b/docs/utils.rst index 50367e34..4927155e 100644 --- a/docs/utils.rst +++ b/docs/utils.rst @@ -12,7 +12,6 @@ all its contents or copying all data to a new database: * :meth:`pastastore.util.delete_pas_connector` * :meth:`pastastore.util.delete_pystore_connector` * :meth:`pastastore.util.delete_arctic_connector` -* :meth:`pastastore.util.empty_library` * :meth:`pastastore.util.copy_database`