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Add Figure.hlines for plotting horizontal lines (#923)
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Co-authored-by: Dongdong Tian <seisman.info@gmail.com>
Co-authored-by: Yvonne Fröhlich <94163266+yvonnefroehlich@users.noreply.github.com>
Co-authored-by: actions-bot <58130806+actions-bot@users.noreply.github.com>
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4 people authored Dec 26, 2024
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1 change: 1 addition & 0 deletions doc/api/index.rst
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Expand Up @@ -29,6 +29,7 @@ Plotting map elements
Figure.basemap
Figure.coast
Figure.colorbar
Figure.hlines
Figure.inset
Figure.legend
Figure.logo
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1 change: 1 addition & 0 deletions pygmt/figure.py
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Expand Up @@ -417,6 +417,7 @@ def _repr_html_(self) -> str:
grdimage,
grdview,
histogram,
hlines,
image,
inset,
legend,
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1 change: 1 addition & 0 deletions pygmt/src/__init__.py
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from pygmt.src.grdview import grdview
from pygmt.src.grdvolume import grdvolume
from pygmt.src.histogram import histogram
from pygmt.src.hlines import hlines
from pygmt.src.image import image
from pygmt.src.info import info
from pygmt.src.inset import inset
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137 changes: 137 additions & 0 deletions pygmt/src/hlines.py
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"""
hlines - Plot horizontal lines.
"""

from collections.abc import Sequence

import numpy as np
from pygmt.exceptions import GMTInvalidInput

__doctest_skip__ = ["hlines"]


def hlines(
self,
y: float | Sequence[float],
xmin: float | Sequence[float] | None = None,
xmax: float | Sequence[float] | None = None,
pen: str | None = None,
label: str | None = None,
no_clip: bool = False,
perspective: str | bool | None = None,
):
"""
Plot one or multiple horizontal line(s).
This method is a high-level wrapper around :meth:`pygmt.Figure.plot` that focuses on
plotting horizontal lines at Y-coordinates specified by the ``y`` parameter. The
``y`` parameter can be a single value (for a single horizontal line) or a sequence
of values (for multiple horizontal lines).
By default, the X-coordinates of the start and end points of the lines are set to
be the X-limits of the current plot, but this can be overridden by specifying the
``xmin`` and ``xmax`` parameters. ``xmin`` and ``xmax`` can be either a single
value or a sequence of values. If a single value is provided, it is applied to all
lines. If a sequence is provided, the length of ``xmin`` and ``xmax`` must match
the length of ``y``.
The term "horizontal" lines can be interpreted differently in different coordinate
systems:
- **Cartesian** coordinate system: lines are plotted as straight lines.
- **Polar** projection: lines are plotted as arcs along a constant radius.
- **Geographic** projection: lines are plotted as parallels along constant latitude.
Parameters
----------
y
Y-coordinates to plot the lines. It can be a single value (for a single line)
or a sequence of values (for multiple lines).
xmin/xmax
X-coordinates of the start/end point of the line(s). If ``None``, defaults to
the X-limits of the current plot. ``xmin`` and ``xmax`` can be either a single
value or a sequence of values. If a single value is provided, it is applied to
all lines. If a sequence is provided, the length of ``xmin`` and ``xmax`` must
match the length of ``y``.
pen
Pen attributes for the line(s), in the format of *width,color,style*.
label
Label for the line(s), to be displayed in the legend.
no_clip
If ``True``, do not clip lines outside the plot region. Only makes sense in the
Cartesian coordinate system.
perspective
Select perspective view and set the azimuth and elevation angle of the
viewpoint. Refer to :meth:`pygmt.Figure.plot` for details.
Examples
--------
>>> import pygmt
>>> fig = pygmt.Figure()
>>> fig.basemap(region=[0, 10, 0, 10], projection="X10c/10c", frame=True)
>>> fig.hlines(y=1, pen="1p,black", label="Line at y=1")
>>> fig.hlines(y=2, xmin=2, xmax=8, pen="1p,red,-", label="Line at y=2")
>>> fig.hlines(y=[3, 4], xmin=3, xmax=7, pen="1p,black,.", label="Lines at y=3,4")
>>> fig.hlines(y=[5, 6], xmin=4, xmax=9, pen="1p,red", label="Lines at y=5,6")
>>> fig.hlines(
... y=[7, 8], xmin=[0, 1], xmax=[7, 8], pen="1p,blue", label="Lines at y=7,8"
... )
>>> fig.legend()
>>> fig.show()
"""
self._preprocess()

# Determine the x limits from the current plot region if not specified.
if xmin is None or xmax is None:
xlimits = self.region[:2]
if xmin is None:
xmin = xlimits[0]
if xmax is None:
xmax = xlimits[1]

# Ensure y/xmin/xmax are 1-D arrays.
_y = np.atleast_1d(y)
_xmin = np.atleast_1d(xmin)
_xmax = np.atleast_1d(xmax)

nlines = len(_y) # Number of lines to plot.

# Check if xmin/xmax are scalars or have the expected length.
if _xmin.size not in {1, nlines} or _xmax.size not in {1, nlines}:
msg = (
f"'xmin' and 'xmax' are expected to be scalars or have lengths '{nlines}', "
f"but lengths '{_xmin.size}' and '{_xmax.size}' are given."
)
raise GMTInvalidInput(msg)

# Repeat xmin/xmax to match the length of y if they are scalars.
if nlines != 1:
if _xmin.size == 1:
_xmin = np.repeat(_xmin, nlines)
if _xmax.size == 1:
_xmax = np.repeat(_xmax, nlines)

# Call the Figure.plot method to plot the lines.
for i in range(nlines):
# Special handling for label.
# 1. Only specify a label when plotting the first line.
# 2. The -l option can accept comma-separated labels for labeling multiple lines
# with auto-coloring enabled. We don't need this feature here, so we need to
# replace comma with \054 if the label contains commas.
_label = label.replace(",", "\\054") if label and i == 0 else None

# By default, points are connected as great circle arcs in geographic coordinate
# systems and straight lines in Cartesian coordinate systems (including polar
# projection). To plot "horizontal" lines along constant latitude (in geographic
# coordinate systems) or constant radius (in polar projection), we need to
# resample the line to at least 4 points.
npoints = 4 # 2 for Cartesian, at least 4 for geographic and polar projections.
self.plot(
x=np.linspace(_xmin[i], _xmax[i], npoints),
y=[_y[i]] * npoints,
pen=pen,
label=_label,
no_clip=no_clip,
perspective=perspective,
straight_line="x",
)
5 changes: 5 additions & 0 deletions pygmt/tests/baseline/test_hlines_clip.png.dvc
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size: 7199
hash: md5
path: test_hlines_clip.png
5 changes: 5 additions & 0 deletions pygmt/tests/baseline/test_hlines_geographic_global_d.png.dvc
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size: 29336
hash: md5
path: test_hlines_geographic_global_d.png
5 changes: 5 additions & 0 deletions pygmt/tests/baseline/test_hlines_geographic_global_g.png.dvc
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path: test_hlines_geographic_global_g.png
5 changes: 5 additions & 0 deletions pygmt/tests/baseline/test_hlines_multiple_lines.png.dvc
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outs:
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hash: md5
path: test_hlines_multiple_lines.png
5 changes: 5 additions & 0 deletions pygmt/tests/baseline/test_hlines_one_line.png.dvc
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outs:
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path: test_hlines_one_line.png
5 changes: 5 additions & 0 deletions pygmt/tests/baseline/test_hlines_polar_projection.png.dvc
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path: test_hlines_polar_projection.png
121 changes: 121 additions & 0 deletions pygmt/tests/test_hlines.py
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"""
Tests for Figure.hlines.
"""

import pytest
from pygmt import Figure
from pygmt.exceptions import GMTInvalidInput


@pytest.mark.mpl_image_compare
def test_hlines_one_line():
"""
Plot one horizontal line.
"""
fig = Figure()
fig.basemap(region=[0, 10, 0, 10], projection="X10c/10c", frame=True)
fig.hlines(1)
fig.hlines(2, xmin=1)
fig.hlines(3, xmax=9)
fig.hlines(4, xmin=3, xmax=8)
fig.hlines(5, xmin=4, xmax=8, pen="1p,blue", label="Line at y=5")
fig.hlines(6, xmin=5, xmax=7, pen="1p,red", label="Line at y=6")
fig.legend()
return fig


@pytest.mark.mpl_image_compare
def test_hlines_multiple_lines():
"""
Plot multiple horizontal lines.
"""
fig = Figure()
fig.basemap(region=[0, 10, 0, 16], projection="X10c/10c", frame=True)
fig.hlines([1, 2])
fig.hlines([3, 4, 5], xmin=[1, 2, 3])
fig.hlines([6, 7, 8], xmax=[7, 8, 9])
fig.hlines([9, 10], xmin=[1, 2], xmax=[9, 10])
fig.hlines([11, 12], xmin=1, xmax=9, pen="1p,blue", label="Lines at y=11,12")
fig.hlines(
[13, 14], xmin=[3, 4], xmax=[8, 9], pen="1p,red", label="Lines at y=13,14"
)
fig.legend()
return fig


@pytest.mark.mpl_image_compare
def test_hlines_clip():
"""
Plot horizontal lines with clipping or not.
"""
fig = Figure()
fig.basemap(region=[0, 10, 0, 4], projection="X10c/4c", frame=True)
fig.hlines(1, xmin=-2, xmax=12)
fig.hlines(2, xmin=-2, xmax=12, no_clip=True)
return fig


@pytest.mark.mpl_image_compare
@pytest.mark.parametrize("region", ["g", "d"])
def test_hlines_geographic_global(region):
"""
Plot horizontal lines in geographic coordinates.
"""
fig = Figure()
fig.basemap(region=region, projection="R15c", frame=True)
# Plot lines with longitude range of 0 to 360.
fig.hlines(10, pen="1p")
fig.hlines(20, xmin=0, xmax=360, pen="1p")
fig.hlines(30, xmin=0, xmax=180, pen="1p")
fig.hlines(40, xmin=180, xmax=360, pen="1p")
fig.hlines(50, xmin=0, xmax=90, pen="1p")
fig.hlines(60, xmin=90, xmax=180, pen="1p")
fig.hlines(70, xmin=180, xmax=270, pen="1p")
fig.hlines(80, xmin=270, xmax=360, pen="1p")

# Plot lines with longitude range of -180 to 180.
fig.hlines(-10, pen="1p,red")
fig.hlines(-20, xmin=-180, xmax=180, pen="1p,red")
fig.hlines(-30, xmin=-180, xmax=0, pen="1p,red")
fig.hlines(-40, xmin=0, xmax=180, pen="1p,red")
fig.hlines(-50, xmin=-180, xmax=-90, pen="1p,red")
fig.hlines(-60, xmin=-90, xmax=0, pen="1p,red")
fig.hlines(-70, xmin=0, xmax=90, pen="1p,red")
fig.hlines(-80, xmin=90, xmax=180, pen="1p,red")
return fig


@pytest.mark.mpl_image_compare
def test_hlines_polar_projection():
"""
Plot horizontal lines in polar projection.
"""
fig = Figure()
fig.basemap(region=[0, 360, 0, 1], projection="P15c", frame=True)
fig.hlines(0.1, pen="1p")
fig.hlines(0.2, xmin=0, xmax=360, pen="1p")
fig.hlines(0.3, xmin=0, xmax=180, pen="1p")
fig.hlines(0.4, xmin=180, xmax=360, pen="1p")
fig.hlines(0.5, xmin=0, xmax=90, pen="1p")
fig.hlines(0.6, xmin=90, xmax=180, pen="1p")
fig.hlines(0.7, xmin=180, xmax=270, pen="1p")
fig.hlines(0.8, xmin=270, xmax=360, pen="1p")
return fig


def test_hlines_invalid_input():
"""
Test invalid input for hlines.
"""
fig = Figure()
fig.basemap(region=[0, 10, 0, 6], projection="X10c/6c", frame=True)
with pytest.raises(GMTInvalidInput):
fig.hlines(1, xmin=2, xmax=[3, 4])
with pytest.raises(GMTInvalidInput):
fig.hlines(1, xmin=[2, 3], xmax=4)
with pytest.raises(GMTInvalidInput):
fig.hlines(1, xmin=[2, 3], xmax=[4, 5])
with pytest.raises(GMTInvalidInput):
fig.hlines([1, 2], xmin=[2, 3, 4], xmax=3)
with pytest.raises(GMTInvalidInput):
fig.hlines([1, 2], xmin=[2, 3], xmax=[4, 5, 6])

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