8000 FIX: add support for imshow extent to have units · matplotlib/matplotlib@b0e758d · GitHub
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FIX: add support for imshow extent to have units
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‎doc/users/next_whats_new/imshow_extent_units.rst

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The *extent* of ``imshow`` can now be expressed with units
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----------------------------------------------------------
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The *extent* parameter of `~.axes.Axes.imshow` and `~.AxesImage.set_extent`
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can now be expressed with units.
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.. plot::
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:include-source: true
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import matplotlib.pyplot as plt
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import numpy as np
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from matplotlib.dates import HourLocator, DateFormatter
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from matplotlib.ticker import AutoMinorLocator
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fig, ax = plt.subplots()
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dateFirst = np.datetime64('2020-01-01', 'D')
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dateLast = np.datetime64('2020-01-11', 'D')
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arr = [[i+j for i in range(10)] for j in range(10)]
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ax.imshow(arr, origin='lower', extent=[1, 11, dateFirst, dateLast])
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ax.yaxis.set_major_formatter(DateFormatter('%d/%m/%y:- %H00hours'))
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ax.yaxis.set_major_locator(HourLocator(byhour=[0, 6, 12, 18, 24]))
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ax.yaxis.set_minor_locator(AutoMinorLocator())
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plt.show()

‎lib/matplotlib/axes/_axes.py

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@@ -5523,6 +5523,7 @@ def imshow(self, X, cmap=None, norm=None, aspect=None,
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extent : floats (left, right, bottom, top), optional
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The bounding box in data coordinates that the image will fill.
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These values may be unitful and match the units of the Axes.
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The image is stretched individually along x and y to fill the box.
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The default extent is determined by the following conditions.
@@ -5615,7 +5616,7 @@ def imshow(self, X, cmap=None, norm=None, aspect=None,
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# update ax.dataLim, and, if autoscaling, set viewLim
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# to tightly fit the image, regardless of dataLim.
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im.set_extent(im.get_extent())
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im.set_extent(im.get_extent(), **kwargs)
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self.add_image(im)
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return im

‎lib/matplotlib/image.py

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@@ -953,7 +953,7 @@ def _check_unsampled_image(self):
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"""Return whether the image would be better drawn unsampled."""
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return self.get_interpolation() == "none"
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def set_extent(self, extent):
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def set_extent(self, extent, **kwargs):
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"""
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Set the image extent.
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@@ -962,6 +962,10 @@ def set_extent(self, extent):
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extent : 4-tuple of float
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The position and size of the image as tuple
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``(left, right, bottom, top)`` in data coordinates.
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**kwargs
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Other parameters from which unit info (i.e., the *xunits*,
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*yunits*, *zunits* (for 3D axes), *runits* and *thetaunits* (for
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polar axes) entries are applied, if present.
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Notes
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-----
@@ -970,7 +974,21 @@ def set_extent(self, extent):
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state is not changed, so following this with ``ax.autoscale_view()``
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will redo the autoscaling in accord with ``dataLim``.
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"""
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self._extent = xmin, xmax, ymin, ymax = extent
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(xmin, xmax), (ymin, ymax) = self.axes._process_unit_info(
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[("x", [extent[0], extent[1]]),
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("y", [extent[2], extent[3]])],
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kwargs)
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xmin = self.axes._validate_converted_limits(
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xmin, self.convert_xunits)
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xmax = self.axes._validate_converted_limits(
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xmax, self.convert_xunits)
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ymin = self.axes._validate_converted_limits(
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ymin, self.convert_yunits)
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ymax = self.axes._validate_converted_limits(
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ymax, self.convert_yunits)
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extent = [xmin, xmax, ymin, ymax]
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self._extent = extent
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corners = (xmin, ymin), (xmax, ymax)
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self.axes.update_datalim(corners)
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self.sticky_edges.x[:] = [xmin, xmax]

‎lib/matplotlib/tests/baseline_images/test_axes/extent_units.pdf

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‎lib/matplotlib/tests/test_axes.py

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@@ -8195,3 +8195,15 @@ def test_bar_leading_nan():
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for b in rest:
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assert np.isfinite(b.xy).all()
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assert np.isfinite(b.get_width())
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@image_comparison(["extent_units.pdf"], style="mpl20")
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def test_extent_units():
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mpl.style.use("mpl20")
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_, ax = plt.subplots()
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dateFirst = np.datetime64('2020-01-01', 'D')
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dateLast = np.datetime64('2020-01-11', 'D')
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arr = [[i+j for i in range(10)] for j in range(10)]
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ax.imshow(arr, origin='lower',
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extent=[1, 11, dateFirst, dateLast])

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