565 lines
17 KiB
Python
565 lines
17 KiB
Python
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import io
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from itertools import chain
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import numpy as np
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import pytest
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import matplotlib.colors as mcolors
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import matplotlib.pyplot as plt
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import matplotlib.patches as mpatches
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import matplotlib.lines as mlines
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import matplotlib.path as mpath
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import matplotlib.transforms as mtransforms
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import matplotlib.collections as mcollections
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import matplotlib.artist as martist
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import matplotlib.backend_bases as mbackend_bases
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import matplotlib as mpl
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from matplotlib.testing.decorators import check_figures_equal, image_comparison
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def test_patch_transform_of_none():
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# tests the behaviour of patches added to an Axes with various transform
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# specifications
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ax = plt.axes()
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ax.set_xlim(1, 3)
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ax.set_ylim(1, 3)
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# Draw an ellipse over data coord (2, 2) by specifying device coords.
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xy_data = (2, 2)
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xy_pix = ax.transData.transform(xy_data)
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# Not providing a transform of None puts the ellipse in data coordinates .
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e = mpatches.Ellipse(xy_data, width=1, height=1, fc='yellow', alpha=0.5)
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ax.add_patch(e)
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assert e._transform == ax.transData
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# Providing a transform of None puts the ellipse in device coordinates.
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e = mpatches.Ellipse(xy_pix, width=120, height=120, fc='coral',
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transform=None, alpha=0.5)
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assert e.is_transform_set()
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ax.add_patch(e)
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assert isinstance(e._transform, mtransforms.IdentityTransform)
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# Providing an IdentityTransform puts the ellipse in device coordinates.
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e = mpatches.Ellipse(xy_pix, width=100, height=100,
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transform=mtransforms.IdentityTransform(), alpha=0.5)
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ax.add_patch(e)
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assert isinstance(e._transform, mtransforms.IdentityTransform)
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# Not providing a transform, and then subsequently "get_transform" should
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# not mean that "is_transform_set".
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e = mpatches.Ellipse(xy_pix, width=120, height=120, fc='coral',
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alpha=0.5)
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intermediate_transform = e.get_transform()
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assert not e.is_transform_set()
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ax.add_patch(e)
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assert e.get_transform() != intermediate_transform
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assert e.is_transform_set()
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assert e._transform == ax.transData
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def test_collection_transform_of_none():
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# tests the behaviour of collections added to an Axes with various
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# transform specifications
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ax = plt.axes()
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ax.set_xlim(1, 3)
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ax.set_ylim(1, 3)
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# draw an ellipse over data coord (2, 2) by specifying device coords
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xy_data = (2, 2)
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xy_pix = ax.transData.transform(xy_data)
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# not providing a transform of None puts the ellipse in data coordinates
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e = mpatches.Ellipse(xy_data, width=1, height=1)
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c = mcollections.PatchCollection([e], facecolor='yellow', alpha=0.5)
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ax.add_collection(c)
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# the collection should be in data coordinates
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assert c.get_offset_transform() + c.get_transform() == ax.transData
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# providing a transform of None puts the ellipse in device coordinates
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e = mpatches.Ellipse(xy_pix, width=120, height=120)
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c = mcollections.PatchCollection([e], facecolor='coral',
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alpha=0.5)
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c.set_transform(None)
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ax.add_collection(c)
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assert isinstance(c.get_transform(), mtransforms.IdentityTransform)
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# providing an IdentityTransform puts the ellipse in device coordinates
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e = mpatches.Ellipse(xy_pix, width=100, height=100)
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c = mcollections.PatchCollection([e],
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transform=mtransforms.IdentityTransform(),
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alpha=0.5)
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ax.add_collection(c)
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assert isinstance(c.get_offset_transform(), mtransforms.IdentityTransform)
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@image_comparison(["clip_path_clipping"], remove_text=True)
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def test_clipping():
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exterior = mpath.Path.unit_rectangle().deepcopy()
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exterior.vertices *= 4
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exterior.vertices -= 2
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interior = mpath.Path.unit_circle().deepcopy()
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interior.vertices = interior.vertices[::-1]
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clip_path = mpath.Path.make_compound_path(exterior, interior)
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star = mpath.Path.unit_regular_star(6).deepcopy()
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star.vertices *= 2.6
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fig, (ax1, ax2) = plt.subplots(1, 2, sharex=True, sharey=True)
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col = mcollections.PathCollection([star], lw=5, edgecolor='blue',
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facecolor='red', alpha=0.7, hatch='*')
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col.set_clip_path(clip_path, ax1.transData)
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ax1.add_collection(col)
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patch = mpatches.PathPatch(star, lw=5, edgecolor='blue', facecolor='red',
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alpha=0.7, hatch='*')
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patch.set_clip_path(clip_path, ax2.transData)
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ax2.add_patch(patch)
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ax1.set_xlim([-3, 3])
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ax1.set_ylim([-3, 3])
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@check_figures_equal(extensions=['png'])
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def test_clipping_zoom(fig_test, fig_ref):
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# This test places the Axes and sets its limits such that the clip path is
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# outside the figure entirely. This should not break the clip path.
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ax_test = fig_test.add_axes([0, 0, 1, 1])
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l, = ax_test.plot([-3, 3], [-3, 3])
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# Explicit Path instead of a Rectangle uses clip path processing, instead
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# of a clip box optimization.
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p = mpath.Path([[0, 0], [1, 0], [1, 1], [0, 1], [0, 0]])
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p = mpatches.PathPatch(p, transform=ax_test.transData)
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l.set_clip_path(p)
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ax_ref = fig_ref.add_axes([0, 0, 1, 1])
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ax_ref.plot([-3, 3], [-3, 3])
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ax_ref.set(xlim=(0.5, 0.75), ylim=(0.5, 0.75))
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ax_test.set(xlim=(0.5, 0.75), ylim=(0.5, 0.75))
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def test_cull_markers():
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x = np.random.random(20000)
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y = np.random.random(20000)
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fig, ax = plt.subplots()
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ax.plot(x, y, 'k.')
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ax.set_xlim(2, 3)
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pdf = io.BytesIO()
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fig.savefig(pdf, format="pdf")
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assert len(pdf.getvalue()) < 8000
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svg = io.BytesIO()
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fig.savefig(svg, format="svg")
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assert len(svg.getvalue()) < 20000
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@image_comparison(['hatching'], remove_text=True, style='default')
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def test_hatching():
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fig, ax = plt.subplots(1, 1)
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# Default hatch color.
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rect1 = mpatches.Rectangle((0, 0), 3, 4, hatch='/')
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ax.add_patch(rect1)
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rect2 = mcollections.RegularPolyCollection(
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4, sizes=[16000], offsets=[(1.5, 6.5)], offset_transform=ax.transData,
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hatch='/')
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ax.add_collection(rect2)
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# Ensure edge color is not applied to hatching.
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rect3 = mpatches.Rectangle((4, 0), 3, 4, hatch='/', edgecolor='C1')
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ax.add_patch(rect3)
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rect4 = mcollections.RegularPolyCollection(
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4, sizes=[16000], offsets=[(5.5, 6.5)], offset_transform=ax.transData,
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hatch='/', edgecolor='C1')
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ax.add_collection(rect4)
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ax.set_xlim(0, 7)
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ax.set_ylim(0, 9)
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def test_remove():
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fig, ax = plt.subplots()
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im = ax.imshow(np.arange(36).reshape(6, 6))
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ln, = ax.plot(range(5))
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assert fig.stale
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assert ax.stale
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fig.canvas.draw()
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assert not fig.stale
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assert not ax.stale
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assert not ln.stale
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assert im in ax._mouseover_set
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assert ln not in ax._mouseover_set
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assert im.axes is ax
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im.remove()
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ln.remove()
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for art in [im, ln]:
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assert art.axes is None
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assert art.figure is None
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assert im not in ax._mouseover_set
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assert fig.stale
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assert ax.stale
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@image_comparison(["default_edges.png"], remove_text=True, style='default')
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def test_default_edges():
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# Remove this line when this test image is regenerated.
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plt.rcParams['text.kerning_factor'] = 6
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fig, [[ax1, ax2], [ax3, ax4]] = plt.subplots(2, 2)
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ax1.plot(np.arange(10), np.arange(10), 'x',
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np.arange(10) + 1, np.arange(10), 'o')
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ax2.bar(np.arange(10), np.arange(10), align='edge')
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ax3.text(0, 0, "BOX", size=24, bbox=dict(boxstyle='sawtooth'))
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ax3.set_xlim((-1, 1))
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ax3.set_ylim((-1, 1))
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pp1 = mpatches.PathPatch(
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mpath.Path([(0, 0), (1, 0), (1, 1), (0, 0)],
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[mpath.Path.MOVETO, mpath.Path.CURVE3,
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mpath.Path.CURVE3, mpath.Path.CLOSEPOLY]),
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fc="none", transform=ax4.transData)
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ax4.add_patch(pp1)
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def test_properties():
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ln = mlines.Line2D([], [])
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ln.properties() # Check that no warning is emitted.
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def test_setp():
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# Check empty list
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plt.setp([])
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plt.setp([[]])
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# Check arbitrary iterables
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fig, ax = plt.subplots()
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lines1 = ax.plot(range(3))
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lines2 = ax.plot(range(3))
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martist.setp(chain(lines1, lines2), 'lw', 5)
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plt.setp(ax.spines.values(), color='green')
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# Check *file* argument
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sio = io.StringIO()
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plt.setp(lines1, 'zorder', file=sio)
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assert sio.getvalue() == ' zorder: float\n'
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def test_None_zorder():
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fig, ax = plt.subplots()
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ln, = ax.plot(range(5), zorder=None)
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assert ln.get_zorder() == mlines.Line2D.zorder
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ln.set_zorder(123456)
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assert ln.get_zorder() == 123456
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ln.set_zorder(None)
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assert ln.get_zorder() == mlines.Line2D.zorder
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@pytest.mark.parametrize('accept_clause, expected', [
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('', 'unknown'),
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("ACCEPTS: [ '-' | '--' | '-.' ]", "[ '-' | '--' | '-.' ]"),
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('ACCEPTS: Some description.', 'Some description.'),
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('.. ACCEPTS: Some description.', 'Some description.'),
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('arg : int', 'int'),
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('*arg : int', 'int'),
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('arg : int\nACCEPTS: Something else.', 'Something else. '),
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])
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def test_artist_inspector_get_valid_values(accept_clause, expected):
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class TestArtist(martist.Artist):
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def set_f(self, arg):
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pass
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TestArtist.set_f.__doc__ = """
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Some text.
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%s
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""" % accept_clause
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valid_values = martist.ArtistInspector(TestArtist).get_valid_values('f')
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assert valid_values == expected
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def test_artist_inspector_get_aliases():
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# test the correct format and type of get_aliases method
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ai = martist.ArtistInspector(mlines.Line2D)
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aliases = ai.get_aliases()
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assert aliases["linewidth"] == {"lw"}
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def test_set_alpha():
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art = martist.Artist()
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with pytest.raises(TypeError, match='^alpha must be numeric or None'):
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art.set_alpha('string')
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with pytest.raises(TypeError, match='^alpha must be numeric or None'):
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art.set_alpha([1, 2, 3])
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with pytest.raises(ValueError, match="outside 0-1 range"):
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art.set_alpha(1.1)
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with pytest.raises(ValueError, match="outside 0-1 range"):
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art.set_alpha(np.nan)
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def test_set_alpha_for_array():
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art = martist.Artist()
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with pytest.raises(TypeError, match='^alpha must be numeric or None'):
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art._set_alpha_for_array('string')
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with pytest.raises(ValueError, match="outside 0-1 range"):
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art._set_alpha_for_array(1.1)
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with pytest.raises(ValueError, match="outside 0-1 range"):
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art._set_alpha_for_array(np.nan)
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with pytest.raises(ValueError, match="alpha must be between 0 and 1"):
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art._set_alpha_for_array([0.5, 1.1])
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with pytest.raises(ValueError, match="alpha must be between 0 and 1"):
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art._set_alpha_for_array([0.5, np.nan])
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def test_callbacks():
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def func(artist):
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func.counter += 1
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func.counter = 0
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art = martist.Artist()
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oid = art.add_callback(func)
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assert func.counter == 0
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art.pchanged() # must call the callback
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assert func.counter == 1
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art.set_zorder(10) # setting a property must also call the callback
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assert func.counter == 2
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art.remove_callback(oid)
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art.pchanged() # must not call the callback anymore
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assert func.counter == 2
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def test_set_signature():
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"""Test autogenerated ``set()`` for Artist subclasses."""
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class MyArtist1(martist.Artist):
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def set_myparam1(self, val):
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pass
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|
assert hasattr(MyArtist1.set, '_autogenerated_signature')
|
||
|
|
assert 'myparam1' in MyArtist1.set.__doc__
|
||
|
|
|
||
|
|
class MyArtist2(MyArtist1):
|
||
|
|
def set_myparam2(self, val):
|
||
|
|
pass
|
||
|
|
|
||
|
|
assert hasattr(MyArtist2.set, '_autogenerated_signature')
|
||
|
|
assert 'myparam1' in MyArtist2.set.__doc__
|
||
|
|
assert 'myparam2' in MyArtist2.set.__doc__
|
||
|
|
|
||
|
|
|
||
|
|
def test_set_is_overwritten():
|
||
|
|
"""set() defined in Artist subclasses should not be overwritten."""
|
||
|
|
class MyArtist3(martist.Artist):
|
||
|
|
|
||
|
|
def set(self, **kwargs):
|
||
|
|
"""Not overwritten."""
|
||
|
|
|
||
|
|
assert not hasattr(MyArtist3.set, '_autogenerated_signature')
|
||
|
|
assert MyArtist3.set.__doc__ == "Not overwritten."
|
||
|
|
|
||
|
|
class MyArtist4(MyArtist3):
|
||
|
|
pass
|
||
|
|
|
||
|
|
assert MyArtist4.set is MyArtist3.set
|
||
|
|
|
||
|
|
|
||
|
|
def test_format_cursor_data_BoundaryNorm():
|
||
|
|
"""Test if cursor data is correct when using BoundaryNorm."""
|
||
|
|
X = np.empty((3, 3))
|
||
|
|
X[0, 0] = 0.9
|
||
|
|
X[0, 1] = 0.99
|
||
|
|
X[0, 2] = 0.999
|
||
|
|
X[1, 0] = -1
|
||
|
|
X[1, 1] = 0
|
||
|
|
X[1, 2] = 1
|
||
|
|
X[2, 0] = 0.09
|
||
|
|
X[2, 1] = 0.009
|
||
|
|
X[2, 2] = 0.0009
|
||
|
|
|
||
|
|
# map range -1..1 to 0..256 in 0.1 steps
|
||
|
|
fig, ax = plt.subplots()
|
||
|
|
fig.suptitle("-1..1 to 0..256 in 0.1")
|
||
|
|
norm = mcolors.BoundaryNorm(np.linspace(-1, 1, 20), 256)
|
||
|
|
img = ax.imshow(X, cmap='RdBu_r', norm=norm)
|
||
|
|
|
||
|
|
labels_list = [
|
||
|
|
"[0.9]",
|
||
|
|
"[1.]",
|
||
|
|
"[1.]",
|
||
|
|
"[-1.0]",
|
||
|
|
"[0.0]",
|
||
|
|
"[1.0]",
|
||
|
|
"[0.09]",
|
||
|
|
"[0.009]",
|
||
|
|
"[0.0009]",
|
||
|
|
]
|
||
|
|
for v, label in zip(X.flat, labels_list):
|
||
|
|
# label = "[{:-#.{}g}]".format(v, cbook._g_sig_digits(v, 0.1))
|
||
|
|
assert img.format_cursor_data(v) == label
|
||
|
|
|
||
|
|
plt.close()
|
||
|
|
|
||
|
|
# map range -1..1 to 0..256 in 0.01 steps
|
||
|
|
fig, ax = plt.subplots()
|
||
|
|
fig.suptitle("-1..1 to 0..256 in 0.01")
|
||
|
|
cmap = mpl.colormaps['RdBu_r'].resampled(200)
|
||
|
|
norm = mcolors.BoundaryNorm(np.linspace(-1, 1, 200), 200)
|
||
|
|
img = ax.imshow(X, cmap=cmap, norm=norm)
|
||
|
|
|
||
|
|
labels_list = [
|
||
|
|
"[0.90]",
|
||
|
|
"[0.99]",
|
||
|
|
"[1.0]",
|
||
|
|
"[-1.00]",
|
||
|
|
"[0.00]",
|
||
|
|
"[1.00]",
|
||
|
|
"[0.09]",
|
||
|
|
"[0.009]",
|
||
|
|
"[0.0009]",
|
||
|
|
]
|
||
|
|
for v, label in zip(X.flat, labels_list):
|
||
|
|
# label = "[{:-#.{}g}]".format(v, cbook._g_sig_digits(v, 0.01))
|
||
|
|
assert img.format_cursor_data(v) == label
|
||
|
|
|
||
|
|
plt.close()
|
||
|
|
|
||
|
|
# map range -1..1 to 0..256 in 0.01 steps
|
||
|
|
fig, ax = plt.subplots()
|
||
|
|
fig.suptitle("-1..1 to 0..256 in 0.001")
|
||
|
|
cmap = mpl.colormaps['RdBu_r'].resampled(2000)
|
||
|
|
norm = mcolors.BoundaryNorm(np.linspace(-1, 1, 2000), 2000)
|
||
|
|
img = ax.imshow(X, cmap=cmap, norm=norm)
|
||
|
|
|
||
|
|
labels_list = [
|
||
|
|
"[0.900]",
|
||
|
|
"[0.990]",
|
||
|
|
"[0.999]",
|
||
|
|
"[-1.000]",
|
||
|
|
"[0.000]",
|
||
|
|
"[1.000]",
|
||
|
|
"[0.090]",
|
||
|
|
"[0.009]",
|
||
|
|
"[0.0009]",
|
||
|
|
]
|
||
|
|
for v, label in zip(X.flat, labels_list):
|
||
|
|
# label = "[{:-#.{}g}]".format(v, cbook._g_sig_digits(v, 0.001))
|
||
|
|
assert img.format_cursor_data(v) == label
|
||
|
|
|
||
|
|
plt.close()
|
||
|
|
|
||
|
|
# different testing data set with
|
||
|
|
# out of bounds values for 0..1 range
|
||
|
|
X = np.empty((7, 1))
|
||
|
|
X[0] = -1.0
|
||
|
|
X[1] = 0.0
|
||
|
|
X[2] = 0.1
|
||
|
|
X[3] = 0.5
|
||
|
|
X[4] = 0.9
|
||
|
|
X[5] = 1.0
|
||
|
|
X[6] = 2.0
|
||
|
|
|
||
|
|
labels_list = [
|
||
|
|
"[-1.0]",
|
||
|
|
"[0.0]",
|
||
|
|
"[0.1]",
|
||
|
|
"[0.5]",
|
||
|
|
"[0.9]",
|
||
|
|
"[1.0]",
|
||
|
|
"[2.0]",
|
||
|
|
]
|
||
|
|
|
||
|
|
fig, ax = plt.subplots()
|
||
|
|
fig.suptitle("noclip, neither")
|
||
|
|
norm = mcolors.BoundaryNorm(
|
||
|
|
np.linspace(0, 1, 4, endpoint=True), 256, clip=False, extend='neither')
|
||
|
|
img = ax.imshow(X, cmap='RdBu_r', norm=norm)
|
||
|
|
for v, label in zip(X.flat, labels_list):
|
||
|
|
# label = "[{:-#.{}g}]".format(v, cbook._g_sig_digits(v, 0.33))
|
||
|
|
assert img.format_cursor_data(v) == label
|
||
|
|
|
||
|
|
plt.close()
|
||
|
|
|
||
|
|
fig, ax = plt.subplots()
|
||
|
|
fig.suptitle("noclip, min")
|
||
|
|
norm = mcolors.BoundaryNorm(
|
||
|
|
np.linspace(0, 1, 4, endpoint=True), 256, clip=False, extend='min')
|
||
|
|
img = ax.imshow(X, cmap='RdBu_r', norm=norm)
|
||
|
|
for v, label in zip(X.flat, labels_list):
|
||
|
|
# label = "[{:-#.{}g}]".format(v, cbook._g_sig_digits(v, 0.33))
|
||
|
|
assert img.format_cursor_data(v) == label
|
||
|
|
|
||
|
|
plt.close()
|
||
|
|
|
||
|
|
fig, ax = plt.subplots()
|
||
|
|
fig.suptitle("noclip, max")
|
||
|
|
norm = mcolors.BoundaryNorm(
|
||
|
|
np.linspace(0, 1, 4, endpoint=True), 256, clip=False, extend='max')
|
||
|
|
img = ax.imshow(X, cmap='RdBu_r', norm=norm)
|
||
|
|
for v, label in zip(X.flat, labels_list):
|
||
|
|
# label = "[{:-#.{}g}]".format(v, cbook._g_sig_digits(v, 0.33))
|
||
|
|
assert img.format_cursor_data(v) == label
|
||
|
|
|
||
|
|
plt.close()
|
||
|
|
|
||
|
|
fig, ax = plt.subplots()
|
||
|
|
fig.suptitle("noclip, both")
|
||
|
|
norm = mcolors.BoundaryNorm(
|
||
|
|
np.linspace(0, 1, 4, endpoint=True), 256, clip=False, extend='both')
|
||
|
|
img = ax.imshow(X, cmap='RdBu_r', norm=norm)
|
||
|
|
for v, label in zip(X.flat, labels_list):
|
||
|
|
# label = "[{:-#.{}g}]".format(v, cbook._g_sig_digits(v, 0.33))
|
||
|
|
assert img.format_cursor_data(v) == label
|
||
|
|
|
||
|
|
plt.close()
|
||
|
|
|
||
|
|
fig, ax = plt.subplots()
|
||
|
|
fig.suptitle("clip, neither")
|
||
|
|
norm = mcolors.BoundaryNorm(
|
||
|
|
np.linspace(0, 1, 4, endpoint=True), 256, clip=True, extend='neither')
|
||
|
|
img = ax.imshow(X, cmap='RdBu_r', norm=norm)
|
||
|
|
for v, label in zip(X.flat, labels_list):
|
||
|
|
# label = "[{:-#.{}g}]".format(v, cbook._g_sig_digits(v, 0.33))
|
||
|
|
assert img.format_cursor_data(v) == label
|
||
|
|
|
||
|
|
plt.close()
|
||
|
|
|
||
|
|
|
||
|
|
def test_auto_no_rasterize():
|
||
|
|
class Gen1(martist.Artist):
|
||
|
|
...
|
||
|
|
|
||
|
|
assert 'draw' in Gen1.__dict__
|
||
|
|
assert Gen1.__dict__['draw'] is Gen1.draw
|
||
|
|
|
||
|
|
class Gen2(Gen1):
|
||
|
|
...
|
||
|
|
|
||
|
|
assert 'draw' not in Gen2.__dict__
|
||
|
|
assert Gen2.draw is Gen1.draw
|
||
|
|
|
||
|
|
|
||
|
|
def test_draw_wraper_forward_input():
|
||
|
|
class TestKlass(martist.Artist):
|
||
|
|
def draw(self, renderer, extra):
|
||
|
|
return extra
|
||
|
|
|
||
|
|
art = TestKlass()
|
||
|
|
renderer = mbackend_bases.RendererBase()
|
||
|
|
|
||
|
|
assert 'aardvark' == art.draw(renderer, 'aardvark')
|
||
|
|
assert 'aardvark' == art.draw(renderer, extra='aardvark')
|