721 lines
23 KiB
Python
721 lines
23 KiB
Python
"""
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Tests specific to the collections module.
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"""
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import io
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import platform
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import numpy as np
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from numpy.testing import assert_array_equal, assert_array_almost_equal
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import pytest
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import matplotlib.pyplot as plt
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import matplotlib.collections as mcollections
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import matplotlib.transforms as mtransforms
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from matplotlib.collections import Collection, LineCollection, EventCollection
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from matplotlib.testing.decorators import image_comparison
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def generate_EventCollection_plot():
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'''
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generate the initial collection and plot it
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'''
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positions = np.array([0., 1., 2., 3., 5., 8., 13., 21.])
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extra_positions = np.array([34., 55., 89.])
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orientation = 'horizontal'
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lineoffset = 1
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linelength = .5
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linewidth = 2
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color = [1, 0, 0, 1]
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linestyle = 'solid'
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antialiased = True
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coll = EventCollection(positions,
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orientation=orientation,
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lineoffset=lineoffset,
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linelength=linelength,
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linewidth=linewidth,
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color=color,
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linestyle=linestyle,
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antialiased=antialiased
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)
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fig = plt.figure()
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splt = fig.add_subplot(1, 1, 1)
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splt.add_collection(coll)
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splt.set_title('EventCollection: default')
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props = {'positions': positions,
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'extra_positions': extra_positions,
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'orientation': orientation,
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'lineoffset': lineoffset,
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'linelength': linelength,
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'linewidth': linewidth,
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'color': color,
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'linestyle': linestyle,
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'antialiased': antialiased
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}
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splt.set_xlim(-1, 22)
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splt.set_ylim(0, 2)
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return splt, coll, props
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@image_comparison(['EventCollection_plot__default'])
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def test__EventCollection__get_segments():
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'''
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check to make sure the default segments have the correct coordinates
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'''
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_, coll, props = generate_EventCollection_plot()
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check_segments(coll,
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props['positions'],
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props['linelength'],
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props['lineoffset'],
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props['orientation'])
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def test__EventCollection__get_positions():
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'''
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check to make sure the default positions match the input positions
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'''
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_, coll, props = generate_EventCollection_plot()
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np.testing.assert_array_equal(props['positions'], coll.get_positions())
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def test__EventCollection__get_orientation():
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'''
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check to make sure the default orientation matches the input
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orientation
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'''
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_, coll, props = generate_EventCollection_plot()
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assert props['orientation'] == coll.get_orientation()
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def test__EventCollection__is_horizontal():
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'''
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check to make sure the default orientation matches the input
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orientation
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'''
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_, coll, _ = generate_EventCollection_plot()
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assert coll.is_horizontal()
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def test__EventCollection__get_linelength():
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'''
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check to make sure the default linelength matches the input linelength
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'''
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_, coll, props = generate_EventCollection_plot()
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assert props['linelength'] == coll.get_linelength()
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def test__EventCollection__get_lineoffset():
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'''
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check to make sure the default lineoffset matches the input lineoffset
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'''
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_, coll, props = generate_EventCollection_plot()
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assert props['lineoffset'] == coll.get_lineoffset()
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def test__EventCollection__get_linestyle():
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'''
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check to make sure the default linestyle matches the input linestyle
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'''
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_, coll, _ = generate_EventCollection_plot()
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assert coll.get_linestyle() == [(None, None)]
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def test__EventCollection__get_color():
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'''
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check to make sure the default color matches the input color
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'''
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_, coll, props = generate_EventCollection_plot()
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np.testing.assert_array_equal(props['color'], coll.get_color())
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check_allprop_array(coll.get_colors(), props['color'])
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@image_comparison(['EventCollection_plot__set_positions'])
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def test__EventCollection__set_positions():
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'''
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check to make sure set_positions works properly
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'''
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splt, coll, props = generate_EventCollection_plot()
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new_positions = np.hstack([props['positions'], props['extra_positions']])
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coll.set_positions(new_positions)
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np.testing.assert_array_equal(new_positions, coll.get_positions())
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check_segments(coll, new_positions,
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props['linelength'],
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props['lineoffset'],
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props['orientation'])
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splt.set_title('EventCollection: set_positions')
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splt.set_xlim(-1, 90)
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@image_comparison(['EventCollection_plot__add_positions'])
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def test__EventCollection__add_positions():
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'''
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check to make sure add_positions works properly
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'''
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splt, coll, props = generate_EventCollection_plot()
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new_positions = np.hstack([props['positions'],
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props['extra_positions'][0]])
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coll.add_positions(props['extra_positions'][0])
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np.testing.assert_array_equal(new_positions, coll.get_positions())
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check_segments(coll,
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new_positions,
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props['linelength'],
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props['lineoffset'],
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props['orientation'])
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splt.set_title('EventCollection: add_positions')
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splt.set_xlim(-1, 35)
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@image_comparison(['EventCollection_plot__append_positions'])
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def test__EventCollection__append_positions():
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'''
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check to make sure append_positions works properly
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'''
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splt, coll, props = generate_EventCollection_plot()
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new_positions = np.hstack([props['positions'],
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props['extra_positions'][2]])
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coll.append_positions(props['extra_positions'][2])
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np.testing.assert_array_equal(new_positions, coll.get_positions())
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check_segments(coll,
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new_positions,
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props['linelength'],
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props['lineoffset'],
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props['orientation'])
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splt.set_title('EventCollection: append_positions')
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splt.set_xlim(-1, 90)
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@image_comparison(['EventCollection_plot__extend_positions'])
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def test__EventCollection__extend_positions():
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'''
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check to make sure extend_positions works properly
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'''
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splt, coll, props = generate_EventCollection_plot()
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new_positions = np.hstack([props['positions'],
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props['extra_positions'][1:]])
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coll.extend_positions(props['extra_positions'][1:])
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np.testing.assert_array_equal(new_positions, coll.get_positions())
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check_segments(coll,
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new_positions,
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props['linelength'],
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props['lineoffset'],
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props['orientation'])
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splt.set_title('EventCollection: extend_positions')
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splt.set_xlim(-1, 90)
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@image_comparison(['EventCollection_plot__switch_orientation'])
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def test__EventCollection__switch_orientation():
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'''
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check to make sure switch_orientation works properly
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'''
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splt, coll, props = generate_EventCollection_plot()
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new_orientation = 'vertical'
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coll.switch_orientation()
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assert new_orientation == coll.get_orientation()
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assert not coll.is_horizontal()
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new_positions = coll.get_positions()
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check_segments(coll,
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new_positions,
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props['linelength'],
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props['lineoffset'], new_orientation)
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splt.set_title('EventCollection: switch_orientation')
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splt.set_ylim(-1, 22)
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splt.set_xlim(0, 2)
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@image_comparison(['EventCollection_plot__switch_orientation__2x'])
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def test__EventCollection__switch_orientation_2x():
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'''
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check to make sure calling switch_orientation twice sets the
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orientation back to the default
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'''
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splt, coll, props = generate_EventCollection_plot()
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coll.switch_orientation()
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coll.switch_orientation()
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new_positions = coll.get_positions()
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assert props['orientation'] == coll.get_orientation()
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assert coll.is_horizontal()
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np.testing.assert_array_equal(props['positions'], new_positions)
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check_segments(coll,
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new_positions,
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props['linelength'],
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props['lineoffset'],
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props['orientation'])
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splt.set_title('EventCollection: switch_orientation 2x')
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@image_comparison(['EventCollection_plot__set_orientation'])
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def test__EventCollection__set_orientation():
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'''
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check to make sure set_orientation works properly
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'''
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splt, coll, props = generate_EventCollection_plot()
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new_orientation = 'vertical'
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coll.set_orientation(new_orientation)
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assert new_orientation == coll.get_orientation()
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assert not coll.is_horizontal()
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check_segments(coll,
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props['positions'],
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props['linelength'],
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props['lineoffset'],
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new_orientation)
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splt.set_title('EventCollection: set_orientation')
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splt.set_ylim(-1, 22)
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splt.set_xlim(0, 2)
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@image_comparison(['EventCollection_plot__set_linelength'])
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def test__EventCollection__set_linelength():
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'''
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check to make sure set_linelength works properly
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'''
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splt, coll, props = generate_EventCollection_plot()
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new_linelength = 15
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coll.set_linelength(new_linelength)
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assert new_linelength == coll.get_linelength()
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check_segments(coll,
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props['positions'],
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new_linelength,
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props['lineoffset'],
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props['orientation'])
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splt.set_title('EventCollection: set_linelength')
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splt.set_ylim(-20, 20)
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@image_comparison(['EventCollection_plot__set_lineoffset'])
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def test__EventCollection__set_lineoffset():
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'''
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check to make sure set_lineoffset works properly
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'''
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splt, coll, props = generate_EventCollection_plot()
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new_lineoffset = -5.
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coll.set_lineoffset(new_lineoffset)
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assert new_lineoffset == coll.get_lineoffset()
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check_segments(coll,
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props['positions'],
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props['linelength'],
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new_lineoffset,
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props['orientation'])
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splt.set_title('EventCollection: set_lineoffset')
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splt.set_ylim(-6, -4)
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@image_comparison(['EventCollection_plot__set_linestyle'])
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def test__EventCollection__set_linestyle():
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'''
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check to make sure set_linestyle works properly
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'''
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splt, coll, _ = generate_EventCollection_plot()
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new_linestyle = 'dashed'
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coll.set_linestyle(new_linestyle)
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assert coll.get_linestyle() == [(0, (6.0, 6.0))]
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splt.set_title('EventCollection: set_linestyle')
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@image_comparison(['EventCollection_plot__set_ls_dash'], remove_text=True)
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def test__EventCollection__set_linestyle_single_dash():
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'''
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check to make sure set_linestyle accepts a single dash pattern
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'''
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splt, coll, _ = generate_EventCollection_plot()
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new_linestyle = (0, (6., 6.))
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coll.set_linestyle(new_linestyle)
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assert coll.get_linestyle() == [(0, (6.0, 6.0))]
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splt.set_title('EventCollection: set_linestyle')
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@image_comparison(['EventCollection_plot__set_linewidth'])
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def test__EventCollection__set_linewidth():
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'''
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check to make sure set_linestyle works properly
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'''
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splt, coll, _ = generate_EventCollection_plot()
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new_linewidth = 5
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coll.set_linewidth(new_linewidth)
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assert coll.get_linewidth() == new_linewidth
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splt.set_title('EventCollection: set_linewidth')
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@image_comparison(['EventCollection_plot__set_color'])
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def test__EventCollection__set_color():
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'''
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check to make sure set_color works properly
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'''
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splt, coll, _ = generate_EventCollection_plot()
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new_color = np.array([0, 1, 1, 1])
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coll.set_color(new_color)
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np.testing.assert_array_equal(new_color, coll.get_color())
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check_allprop_array(coll.get_colors(), new_color)
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splt.set_title('EventCollection: set_color')
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def check_segments(coll, positions, linelength, lineoffset, orientation):
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'''
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check to make sure all values in the segment are correct, given a
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particular set of inputs
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note: this is not a test, it is used by tests
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'''
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segments = coll.get_segments()
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if (orientation.lower() == 'horizontal'
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or orientation.lower() == 'none' or orientation is None):
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# if horizontal, the position in is in the y-axis
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pos1 = 1
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pos2 = 0
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elif orientation.lower() == 'vertical':
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# if vertical, the position in is in the x-axis
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pos1 = 0
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pos2 = 1
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else:
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raise ValueError("orientation must be 'horizontal' or 'vertical'")
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# test to make sure each segment is correct
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for i, segment in enumerate(segments):
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assert segment[0, pos1] == lineoffset + linelength / 2
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assert segment[1, pos1] == lineoffset - linelength / 2
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assert segment[0, pos2] == positions[i]
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assert segment[1, pos2] == positions[i]
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def check_allprop_array(values, target):
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'''
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check to make sure all values match the given target if arrays
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note: this is not a test, it is used by tests
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'''
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for value in values:
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np.testing.assert_array_equal(value, target)
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def test_null_collection_datalim():
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col = mcollections.PathCollection([])
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col_data_lim = col.get_datalim(mtransforms.IdentityTransform())
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assert_array_equal(col_data_lim.get_points(),
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mtransforms.Bbox.null().get_points())
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def test_add_collection():
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# Test if data limits are unchanged by adding an empty collection.
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# GitHub issue #1490, pull #1497.
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plt.figure()
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ax = plt.axes()
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coll = ax.scatter([0, 1], [0, 1])
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ax.add_collection(coll)
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bounds = ax.dataLim.bounds
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coll = ax.scatter([], [])
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assert ax.dataLim.bounds == bounds
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def test_quiver_limits():
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ax = plt.axes()
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x, y = np.arange(8), np.arange(10)
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u = v = np.linspace(0, 10, 80).reshape(10, 8)
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q = plt.quiver(x, y, u, v)
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assert q.get_datalim(ax.transData).bounds == (0., 0., 7., 9.)
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plt.figure()
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ax = plt.axes()
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x = np.linspace(-5, 10, 20)
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y = np.linspace(-2, 4, 10)
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y, x = np.meshgrid(y, x)
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trans = mtransforms.Affine2D().translate(25, 32) + ax.transData
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plt.quiver(x, y, np.sin(x), np.cos(y), transform=trans)
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assert ax.dataLim.bounds == (20.0, 30.0, 15.0, 6.0)
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def test_barb_limits():
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ax = plt.axes()
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x = np.linspace(-5, 10, 20)
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y = np.linspace(-2, 4, 10)
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y, x = np.meshgrid(y, x)
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trans = mtransforms.Affine2D().translate(25, 32) + ax.transData
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plt.barbs(x, y, np.sin(x), np.cos(y), transform=trans)
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# The calculated bounds are approximately the bounds of the original data,
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# this is because the entire path is taken into account when updating the
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# datalim.
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assert_array_almost_equal(ax.dataLim.bounds, (20, 30, 15, 6),
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decimal=1)
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@image_comparison(['EllipseCollection_test_image.png'], remove_text=True,
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tol={'aarch64': 0.02}.get(platform.machine(), 0.0))
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def test_EllipseCollection():
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# Test basic functionality
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fig, ax = plt.subplots()
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x = np.arange(4)
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y = np.arange(3)
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X, Y = np.meshgrid(x, y)
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XY = np.vstack((X.ravel(), Y.ravel())).T
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ww = X / x[-1]
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hh = Y / y[-1]
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aa = np.ones_like(ww) * 20 # first axis is 20 degrees CCW from x axis
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ec = mcollections.EllipseCollection(ww, hh, aa,
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units='x',
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offsets=XY,
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transOffset=ax.transData,
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facecolors='none')
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ax.add_collection(ec)
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ax.autoscale_view()
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@image_comparison(['polycollection_close.png'], remove_text=True)
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def test_polycollection_close():
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from mpl_toolkits.mplot3d import Axes3D
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vertsQuad = [
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[[0., 0.], [0., 1.], [1., 1.], [1., 0.]],
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[[0., 1.], [2., 3.], [2., 2.], [1., 1.]],
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[[2., 2.], [2., 3.], [4., 1.], [3., 1.]],
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[[3., 0.], [3., 1.], [4., 1.], [4., 0.]]]
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fig = plt.figure()
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ax = Axes3D(fig)
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colors = ['r', 'g', 'b', 'y', 'k']
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zpos = list(range(5))
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poly = mcollections.PolyCollection(
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vertsQuad * len(zpos), linewidth=0.25)
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poly.set_alpha(0.7)
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# need to have a z-value for *each* polygon = element!
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zs = []
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cs = []
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for z, c in zip(zpos, colors):
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zs.extend([z] * len(vertsQuad))
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cs.extend([c] * len(vertsQuad))
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poly.set_color(cs)
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ax.add_collection3d(poly, zs=zs, zdir='y')
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# axis limit settings:
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ax.set_xlim3d(0, 4)
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ax.set_zlim3d(0, 3)
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ax.set_ylim3d(0, 4)
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@image_comparison(['regularpolycollection_rotate.png'], remove_text=True)
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def test_regularpolycollection_rotate():
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xx, yy = np.mgrid[:10, :10]
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xy_points = np.transpose([xx.flatten(), yy.flatten()])
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rotations = np.linspace(0, 2*np.pi, len(xy_points))
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fig, ax = plt.subplots()
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for xy, alpha in zip(xy_points, rotations):
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col = mcollections.RegularPolyCollection(
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4, sizes=(100,), rotation=alpha,
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offsets=[xy], transOffset=ax.transData)
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ax.add_collection(col, autolim=True)
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ax.autoscale_view()
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@image_comparison(['regularpolycollection_scale.png'], remove_text=True)
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def test_regularpolycollection_scale():
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# See issue #3860
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class SquareCollection(mcollections.RegularPolyCollection):
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def __init__(self, **kwargs):
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super().__init__(4, rotation=np.pi/4., **kwargs)
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def get_transform(self):
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"""Return transform scaling circle areas to data space."""
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ax = self.axes
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pts2pixels = 72.0 / ax.figure.dpi
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scale_x = pts2pixels * ax.bbox.width / ax.viewLim.width
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scale_y = pts2pixels * ax.bbox.height / ax.viewLim.height
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return mtransforms.Affine2D().scale(scale_x, scale_y)
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fig, ax = plt.subplots()
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xy = [(0, 0)]
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# Unit square has a half-diagonal of `1 / sqrt(2)`, so `pi * r**2`
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# equals...
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circle_areas = [np.pi / 2]
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squares = SquareCollection(sizes=circle_areas, offsets=xy,
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transOffset=ax.transData)
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ax.add_collection(squares, autolim=True)
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ax.axis([-1, 1, -1, 1])
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|
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def test_picking():
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fig, ax = plt.subplots()
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col = ax.scatter([0], [0], [1000], picker=True)
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fig.savefig(io.BytesIO(), dpi=fig.dpi)
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|
|
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class MouseEvent:
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pass
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event = MouseEvent()
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event.x = 325
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event.y = 240
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found, indices = col.contains(event)
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assert found
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assert_array_equal(indices['ind'], [0])
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|
|
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def test_linestyle_single_dashes():
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plt.scatter([0, 1, 2], [0, 1, 2], linestyle=(0., [2., 2.]))
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plt.draw()
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|
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@image_comparison(['size_in_xy.png'], remove_text=True)
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def test_size_in_xy():
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fig, ax = plt.subplots()
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|
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widths, heights, angles = (10, 10), 10, 0
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widths = 10, 10
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coords = [(10, 10), (15, 15)]
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e = mcollections.EllipseCollection(
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|
widths, heights, angles,
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|
units='xy',
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|
offsets=coords,
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|
transOffset=ax.transData)
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|
|
|
ax.add_collection(e)
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|
|
|
ax.set_xlim(0, 30)
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|
ax.set_ylim(0, 30)
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|
|
|
|
|
def test_pandas_indexing(pd):
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|
|
|
# Should not fail break when faced with a
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# non-zero indexed series
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|
index = [11, 12, 13]
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ec = fc = pd.Series(['red', 'blue', 'green'], index=index)
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lw = pd.Series([1, 2, 3], index=index)
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ls = pd.Series(['solid', 'dashed', 'dashdot'], index=index)
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|
aa = pd.Series([True, False, True], index=index)
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|
|
|
Collection(edgecolors=ec)
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|
Collection(facecolors=fc)
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|
Collection(linewidths=lw)
|
|
Collection(linestyles=ls)
|
|
Collection(antialiaseds=aa)
|
|
|
|
|
|
@pytest.mark.style('default')
|
|
def test_lslw_bcast():
|
|
col = mcollections.PathCollection([])
|
|
col.set_linestyles(['-', '-'])
|
|
col.set_linewidths([1, 2, 3])
|
|
|
|
assert col.get_linestyles() == [(None, None)] * 6
|
|
assert col.get_linewidths() == [1, 2, 3] * 2
|
|
|
|
col.set_linestyles(['-', '-', '-'])
|
|
assert col.get_linestyles() == [(None, None)] * 3
|
|
assert (col.get_linewidths() == [1, 2, 3]).all()
|
|
|
|
|
|
@pytest.mark.style('default')
|
|
def test_capstyle():
|
|
col = mcollections.PathCollection([], capstyle='round')
|
|
assert col.get_capstyle() == 'round'
|
|
col.set_capstyle('butt')
|
|
assert col.get_capstyle() == 'butt'
|
|
|
|
|
|
@pytest.mark.style('default')
|
|
def test_joinstyle():
|
|
col = mcollections.PathCollection([], joinstyle='round')
|
|
assert col.get_joinstyle() == 'round'
|
|
col.set_joinstyle('miter')
|
|
assert col.get_joinstyle() == 'miter'
|
|
|
|
|
|
@image_comparison(['cap_and_joinstyle.png'])
|
|
def test_cap_and_joinstyle_image():
|
|
fig = plt.figure()
|
|
ax = fig.add_subplot(1, 1, 1)
|
|
ax.set_xlim([-0.5, 1.5])
|
|
ax.set_ylim([-0.5, 2.5])
|
|
|
|
x = np.array([0.0, 1.0, 0.5])
|
|
ys = np.array([[0.0], [0.5], [1.0]]) + np.array([[0.0, 0.0, 1.0]])
|
|
|
|
segs = np.zeros((3, 3, 2))
|
|
segs[:, :, 0] = x
|
|
segs[:, :, 1] = ys
|
|
line_segments = LineCollection(segs, linewidth=[10, 15, 20])
|
|
line_segments.set_capstyle("round")
|
|
line_segments.set_joinstyle("miter")
|
|
|
|
ax.add_collection(line_segments)
|
|
ax.set_title('Line collection with customized caps and joinstyle')
|
|
|
|
|
|
@image_comparison(['scatter_post_alpha.png'],
|
|
remove_text=True, style='default')
|
|
def test_scatter_post_alpha():
|
|
fig, ax = plt.subplots()
|
|
sc = ax.scatter(range(5), range(5), c=range(5))
|
|
# this needs to be here to update internal state
|
|
fig.canvas.draw()
|
|
sc.set_alpha(.1)
|
|
|
|
|
|
def test_pathcollection_legend_elements():
|
|
np.random.seed(19680801)
|
|
x, y = np.random.rand(2, 10)
|
|
y = np.random.rand(10)
|
|
c = np.random.randint(0, 5, size=10)
|
|
s = np.random.randint(10, 300, size=10)
|
|
|
|
fig, ax = plt.subplots()
|
|
sc = ax.scatter(x, y, c=c, s=s, cmap="jet", marker="o", linewidths=0)
|
|
|
|
h, l = sc.legend_elements(fmt="{x:g}")
|
|
assert len(h) == 5
|
|
assert_array_equal(np.array(l).astype(float), np.arange(5))
|
|
colors = np.array([line.get_color() for line in h])
|
|
colors2 = sc.cmap(np.arange(5)/4)
|
|
assert_array_equal(colors, colors2)
|
|
l1 = ax.legend(h, l, loc=1)
|
|
|
|
h2, lab2 = sc.legend_elements(num=9)
|
|
assert len(h2) == 9
|
|
l2 = ax.legend(h2, lab2, loc=2)
|
|
|
|
h, l = sc.legend_elements(prop="sizes", alpha=0.5, color="red")
|
|
alpha = np.array([line.get_alpha() for line in h])
|
|
assert_array_equal(alpha, 0.5)
|
|
color = np.array([line.get_markerfacecolor() for line in h])
|
|
assert_array_equal(color, "red")
|
|
l3 = ax.legend(h, l, loc=4)
|
|
|
|
h, l = sc.legend_elements(prop="sizes", num=4, fmt="{x:.2f}",
|
|
func=lambda x: 2*x)
|
|
actsizes = [line.get_markersize() for line in h]
|
|
labeledsizes = np.sqrt(np.array(l).astype(float)/2)
|
|
assert_array_almost_equal(actsizes, labeledsizes)
|
|
l4 = ax.legend(h, l, loc=3)
|
|
|
|
import matplotlib.ticker as mticker
|
|
loc = mticker.MaxNLocator(nbins=9, min_n_ticks=9-1,
|
|
steps=[1, 2, 2.5, 3, 5, 6, 8, 10])
|
|
h5, lab5 = sc.legend_elements(num=loc)
|
|
assert len(h2) == len(h5)
|
|
|
|
levels = [-1, 0, 55.4, 260]
|
|
h6, lab6 = sc.legend_elements(num=levels, prop="sizes", fmt="{x:g}")
|
|
assert_array_equal(np.array(lab6).astype(float), levels[2:])
|
|
|
|
for l in [l1, l2, l3, l4]:
|
|
ax.add_artist(l)
|
|
|
|
fig.canvas.draw()
|
|
|
|
|
|
def test_EventCollection_nosort():
|
|
# Check that EventCollection doesn't modify input in place
|
|
arr = np.array([3, 2, 1, 10])
|
|
coll = EventCollection(arr)
|
|
np.testing.assert_array_equal(arr, np.array([3, 2, 1, 10]))
|