Revert "v0.3.3 changes into main (#64)"

This reverts commit 0098637.

CHANGELOG.rst

@@ -16,40 +16,6 @@ Subsections for each version can be one of the following;
 
 Each individual change should have a link to the pull request after the description of the change.
 
-0.3.3 (2023-01-19)
-------------------
-
-Added
-^^^^^
-- added support for prior mean encoding (regularised encodings) `#46 <https://github.com/lvgig/tubular/pull/46>`_
-
-- added support for weights to mean, median and mode imputers `#47 <https://github.com/lvgig/tubular/pull/47>`_
-
-- added classname() method to BaseTransformer and prefixed all errors with classname call for easier debugging `#48 <https://github.com/lvgig/tubular/pull/48>`_
-
-- added DatetimeInfoExtractor transformer in ``tubular/dates.py``associated tests with ``tests/dates/test_DatetimeInfoExtractor.py`` and examples with ``examples/dates/DatetimeInfoExtractor.ipynb`` `#49 <https://github.com/lvgig/tubular/pull/49>`_
-
-- added DatetimeSinusoidCalculator in ``tubular/dates.py``associated tests with ``tests/dates/test_DatetimeSinusoidCalculator.py`` and examples with ``examples/dates/DatetimeSinusoidCalculator.ipynb`` `#50 <https://github.com/lvgig/tubular/pull/50>`_
-
-- added TwoColumnOperatorTransformer in ``tubular/numeric.py``associated tests with ``tests/numeric/test_TwoColumnOperatorTransformer.py`` and examples with ``examples/dates/TwoColumnOperatorTransformer.ipynb`` `#51 <https://github.com/lvgig/tubular/pull/51>`_
-
-- added StringConcatenator in ``tubular/strings.py``associated tests with ``tests/strings/test_StringConcatenator.py`` and examples with ``examples/strings/StringConcatenator.ipynb`` `#52 <https://github.com/lvgig/tubular/pull/52>`_
-
-- added SetColumnDtype in ``tubular/misc.py``associated tests with ``tests/misc/test_StringConcatenator.py`` and examples with ``examples/strings/StringConcatenator.ipynb`` `#53 <https://github.com/lvgig/tubular/pull/53>`_
-
-- added waring to MappingTransformer in ``tubular/mapping.py`` for unexpected changes in dtype  `#54 <https://github.com/lvgig/tubular/pull/54>`_
-
-- added new module ``tubular/comparison.py`` containing EqualityChecker.  Also added associated tests with ``tests/comparison/test_EqualityChecker.py`` and examples with ``examples/comparison/EqualityChecker.ipynb`` `#55 <https://github.com/lvgig/tubular/pull/55>`_
-
-- added PCATransformer in ``tubular/numeric.py``associated tests with ``tests/misc/test_PCATransformer.py`` and examples with ``examples/numeric/PCATransformer.ipynb`` `#57 <https://github.com/lvgig/tubular/pull/57>`_
-
-Fixed
-^^^^^
-- updated black version to 22.3.0 and flake8 version to 5.0.4 to fix compatibility issues `#45 <https://github.com/lvgig/tubular/pull/45>`_
-
-- removed **kwargs argument from BaseTransfomer in ``tubular/base.py``to avoid silent erroring if incorrect arguments passed to transformers. Fixed a few tests which were revealed to have incorrect arguments passed by change `#56 <https://github.com/lvgig/tubular/pull/56>`_ 
-
-
 0.3.2 (2022-01-13)
 ------------------
 

CONTRIBUTING.rst

@@ -43,7 +43,7 @@ General
 ^^^^^^^
 
 - Please try and keep each pull request to one change or feature only
-- Make sure to update the `changelog <https://github.com/lvgig/tubular/blob/main/CHANGELOG.rst>`_ with details of your change
+- Make sure to update the `changelog <https://github.com/lvgig/test-aide/blob/main/CHANGELOG.rst>`_ with details of your change
 
 Code formatting
 ^^^^^^^^^^^^^^^

docs/source/api.rst

@@ -20,14 +20,6 @@ capping module
 
     capping.CappingTransformer
     capping.OutOfRangeNullTransformer
-
-comparison module
-------------------
-
-.. autosummary::
-    :toctree: api/
-
-    comparison.EqualityChecker
 
 dates module
 ------------------
@@ -40,8 +32,6 @@ dates module
     dates.DateDiffLeapYearTransformer
     dates.SeriesDtMethodTransformer    
     dates.ToDatetimeTransformer
-    dates.DatetimeInfoExtractor
-    dates.DatetimeSinusoidCalculator
 
 imputers module
 ------------------
@@ -77,7 +67,6 @@ misc module
     :toctree: api/
 
     misc.SetValueTransformer
-    misc.SetColumnDtype
 
 nominal module
 ------------------
@@ -99,11 +88,9 @@ numeric module
     :toctree: api/
 
     numeric.LogTransformer
-    numeric.CutTransformer  
-    numeric.TwoColumnOperatorTransformer
+    numeric.CutTransformer   
     numeric.ScalingTransformer
     numeric.InteractionTransformer
-    numeric.PCATransformer
 
 strings module
 ------------------
@@ -112,4 +99,3 @@ strings module
     :toctree: api/
 
     strings.SeriesStrMethodTransformer
-    strings.StringConcatenator

docs/source/quick-start.rst

@@ -1,11 +1,10 @@
 Quick Start
 ====================
-|logo|
 
-Welcome to the quick start guide for tubular!
+Welcome to the quick start guide for |logo| !
 
 .. |logo| image:: ../../logo.png
-   :height: 200px
+   :height: 50px
 
 Installation
 --------------------
@@ -16,6 +15,7 @@ The easiest way to get ``tubular`` is to install directly from ``pypi``;
 
      pip install tubular
 
+.. important::
 
     Thanks for installing tubular! We hope you find it useful!
 
@@ -54,24 +54,20 @@ The standard `OutOfRangeNullTransformer <https://tubular.readthedocs.io/en/lates
 Dates
 ^^^^^
 
-This module contains transformers to deal with datetime columns.
+This module contains transformers to deal with date columns.
 
-Date differencing is available - accounting for leap years `DateDiffLeapYearTransformer <https://tubular.readthedocs.io/en/latest/api/tubular.dates.DateDiffLeapYearTransformer.html>`_ or not `DateDifferenceTransformer <https://tubular.readthedocs.io/en/latest/api/tubular.dates.DateDifferenceTransformer.html>`_.
+Date differencing is available - accounting for leap years (`DateDiffLeapYearTransformer <https://tubular.readthedocs.io/en/latest/api/tubular.dates.DateDiffLeapYearTransformer.html>`_) or not (`DateDifferenceTransformer <https://tubular.readthedocs.io/en/latest/api/tubular.dates.DateDifferenceTransformer.html>`_).
 
 The `BetweenDatesTransformer <https://tubular.readthedocs.io/en/latest/api/tubular.dates.BetweenDatesTransformer.html>`_ calculates if one date falls between two others.
 
 The `ToDatetimeTransformer <https://tubular.readthedocs.io/en/latest/api/tubular.dates.ToDatetimeTransformer.html>`_ converts columns to datetime type.
 
-The `SeriesDtMethodTransformer <https://tubular.readthedocs.io/en/latest/api/tubular.dates.SeriesDtMethodTransformer.html>`_ allows the user to use `pandas.Series.dt <https://pandas.pydata.org/docs/reference/api/pandas.Series.dt.html>`_ methods in a similar way to `base.DataFrameMethodTransformer <https://tubular.readthedocs.io/en/latest/api/tubular.base.DataFrameMethodTransformer.html>`_.
-
-The `DatetimeInfoExtractor <https://tubular.readthedocs.io/en/latest/api/tubular.dates.DatetimeInfoExtractor.html>`_ allows the user to extract datetime info such as the time of day or month from a datetime field.
-
-The `DatetimeSinusoidCalculator <https://tubular.readthedocs.io/en/latest/api/tubular.dates.DatetimeSinusoidCalculator.html>`_ derives a feature in a dataframe by calculating the sine or cosine of a datetime column.
+Finally the `SeriesDtMethodTransformer <https://tubular.readthedocs.io/en/latest/api/tubular.dates.SeriesDtMethodTransformer.html>`_ allows the user to use `pandas.Series.dt <https://pandas.pydata.org/docs/reference/api/pandas.Series.dt.html>`_ methods in a similar way to `base.DataFrameMethodTransformer <https://tubular.readthedocs.io/en/latest/api/tubular.base.DataFrameMethodTransformer.html>`_.
 
 Imputers
 ^^^^^^^^
 
-This module contains standard imputation techniques - mean, median mode as well as `NearestMeanResponseImputer <https://tubular.readthedocs.io/en/feature-version_0_3_0/api/tubular.imputers.NearestMeanResponseImputer.html>`_ which imputes with the value which is closest to the ``null`` values in terms of average response.  All of these support weights.
+This module contains standard imputation techniques - mean, median mode as well as `NearestMeanResponseImputer <https://tubular.readthedocs.io/en/feature-version_0_3_0/api/tubular.imputers.NearestMeanResponseImputer.html>`_ which imputes with the value which is closest to the ``null`` values in terms of average response.
 
 The `NullIndicator <https://tubular.readthedocs.io/en/feature-version_0_3_0/api/tubular.imputers.NullIndicator.html>`_ is used to create binary indicators of where ``null`` values are present in a column.
 
@@ -87,36 +83,24 @@ The `CrossColumnMappingTransformer <https://tubular.readthedocs.io/en/latest/api
 Misc
 ^^^^
 
-The misc module contains transformers which do not fit into other categories.
-
-`SetValueTransformer <https://tubular.readthedocs.io/en/latest/api/tubular.misc.SetValueTransformer.html>`_ creates a constant column with arbitrary value.
-
-`SetDtype <https://tubular.readthedocs.io/en/latest/api/tubular.misc.SetDtype.html>`_ allows the user to set the dtype of a column.
+The misc module currently contains only one transformer, `SetValueTransformer <https://tubular.readthedocs.io/en/latest/api/tubular.misc.SetValueTransformer.html>`_, which creates a constant column with arbitrary value.
 
 Nominal
 ^^^^^^^
 
 This module contains categorical encoding techniques. 
 
-There are respone encoding techniques such as `MeanResponseTransformer <https://tubular.readthedocs.io/en/latest/api/tubular.nominal.MeanResponseTransformer.html>`_, one hot encoding `OneHotEncodingTransformer <https://tubular.readthedocs.io/en/latest/api/tubular.nominal.OneHotEncodingTransformer.html>`_ and grouping of infrequently occuring levels `GroupRareLevelsTransformer <https://tubular.readthedocs.io/en/latest/api/tubular.nominal.GroupRareLevelsTransformer.html>`_.
-
-`MeanResponseTransformer <https://tubular.readthedocs.io/en/latest/api/tubular.nominal.MeanResponseTransformer.html>`_ also supports regularisation of encodings using a prior.
+There are respone encoding techniques such as `MeanResponseTransformer <https://tubular.readthedocs.io/en/latest/api/tubular.nominal.MeanResponseTransformer.html>`_, one hot encoding (`OneHotEncodingTransformer <https://tubular.readthedocs.io/en/latest/api/tubular.nominal.OneHotEncodingTransformer.html>`_) and grouping of infrequently occuring levels (`GroupRareLevelsTransformer <https://tubular.readthedocs.io/en/latest/api/tubular.nominal.GroupRareLevelsTransformer.html>`_).
 
 Numeric
 ^^^^^^^
 
-This module contains numeric transformations - cut `CutTransformer <https://tubular.readthedocs.io/en/latest/api/tubular.numeric.CutTransformer.html>`_, log `LogTransformer <https://tubular.readthedocs.io/en/latest/api/tubular.numeric.LogTransformer.html>`_, and scaling `ScalingTransformer <https://tubular.readthedocs.io/en/latest/api/tubular.numeric.ScalingTransformer.html>`_.
-
-`TwoColumnOperatorTransformer <https://tubular.readthedocs.io/en/latest/api/tubular.numeric.TwoColumnOperatorTransformer.html>`_ allows a user to apply operations to two colmns using methods from `pandas.DataFrame method <https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html>`_ which require a multiple columns (e.g. add, subtract, multiply etc
-
-It also contains `InteractionTransformer <https://tubular.readthedocs.io/en/latest/api/tubular.numeric.InteractionTransformer.html>`_ and `PCATransformer <https://tubular.readthedocs.io/en/latest/api/tubular.numeric.PCATransformer.html>`_ which create interaction terms and pca components.
+This module contains numeric transformations - cut (`CutTransformer <https://tubular.readthedocs.io/en/latest/api/tubular.numeric.CutTransformer.html>`_), log (`LogTransformer <https://tubular.readthedocs.io/en/latest/api/tubular.numeric.LogTransformer.html>`_) and scaling (`ScalingTransformer <https://tubular.readthedocs.io/en/latest/api/tubular.numeric.ScalingTransformer.html>`_).
 
 Strings
 ^^^^^^^
 
-The strings module contains useful transformers for working with strings.  `SeriesStrMethodTransformer <https://tubular.readthedocs.io/en/latest/api/tubular.strings.SeriesStrMethodTransformer.html>`_, allows the user to access `pandas.Series.str <https://pandas.pydata.org/docs/reference/api/pandas.Series.str.html>`_ methods within ``tubular``.  `StringConcatenator <https://tubular.readthedocs.io/en/latest/api/tubular.strings.StringConcatenator.html>`_ allows a user to concatenate multiple columns together of varied dtype into a string output.
-
-
+The strings module contains a single transformer, `SeriesStrMethodTransformer <https://tubular.readthedocs.io/en/latest/api/tubular.strings.SeriesStrMethodTransformer.html>`_, that allows the user to access `pandas.Series.str <https://pandas.pydata.org/docs/reference/api/pandas.Series.str.html>`_ methods within ``tubular``.
 
 Reporting an issue
 ---------------------------------