python3-matplotlib 1.3.1-1ubuntu5 / usr / lib / python3 / dist-packages / matplotlib / tests / test_artist.py

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import copy


import numpy as np


import matplotlib.pyplot as plt
import matplotlib.patches as mpatches
import matplotlib.path as mpath
import matplotlib.transforms as mtrans
import matplotlib.collections as mcollections
from matplotlib.testing.decorators import image_comparison, cleanup


@cleanup
def test_patch_transform_of_none():
    # tests the behaviour of patches added to an Axes with various transform
    # specifications

    ax = plt.axes()
    ax.set_xlim([1, 3])
    ax.set_ylim([1, 3])

    # Draw an ellipse over data coord (2,2) by specifying device coords.
    xy_data = (2, 2)
    xy_pix = ax.transData.transform_point(xy_data)

    # Not providing a transform of None puts the ellipse in data coordinates .
    e = mpatches.Ellipse(xy_data, width=1, height=1, fc='yellow', alpha=0.5)
    ax.add_patch(e)
    assert e._transform == ax.transData

    # Providing a transform of None puts the ellipse in device coordinates.
    e = mpatches.Ellipse(xy_pix, width=120, height=120, fc='coral',
                         transform=None, alpha=0.5)
    assert e.is_transform_set() is True
    ax.add_patch(e)
    assert isinstance(e._transform, mtrans.IdentityTransform)

    # Providing an IdentityTransform puts the ellipse in device coordinates.
    e = mpatches.Ellipse(xy_pix, width=100, height=100,
                         transform=mtrans.IdentityTransform(), alpha=0.5)
    ax.add_patch(e)
    assert isinstance(e._transform, mtrans.IdentityTransform)

    # Not providing a transform, and then subsequently "get_transform" should
    # not mean that "is_transform_set".
    e = mpatches.Ellipse(xy_pix, width=120, height=120, fc='coral',
                         alpha=0.5)
    intermediate_transform = e.get_transform()
    assert e.is_transform_set() is False
    ax.add_patch(e)
    assert e.get_transform() != intermediate_transform
    assert e.is_transform_set() is True
    assert e._transform == ax.transData


@cleanup
def test_collection_transform_of_none():
    # tests the behaviour of collections added to an Axes with various
    # transform specifications

    ax = plt.axes()
    ax.set_xlim([1, 3])
    ax.set_ylim([1, 3])

    #draw an ellipse over data coord (2,2) by specifying device coords
    xy_data = (2, 2)
    xy_pix = ax.transData.transform_point(xy_data)

    # not providing a transform of None puts the ellipse in data coordinates
    e = mpatches.Ellipse(xy_data, width=1, height=1)
    c = mcollections.PatchCollection([e], facecolor='yellow', alpha=0.5)
    ax.add_collection(c)
    # the collection should be in data coordinates
    assert c.get_offset_transform() + c.get_transform() == ax.transData

    # providing a transform of None puts the ellipse in device coordinates
    e = mpatches.Ellipse(xy_pix, width=120, height=120)
    c = mcollections.PatchCollection([e], facecolor='coral',
                                     alpha=0.5)
    c.set_transform(None)
    ax.add_collection(c)
    assert isinstance(c.get_transform(), mtrans.IdentityTransform)

    # providing an IdentityTransform puts the ellipse in device coordinates
    e = mpatches.Ellipse(xy_pix, width=100, height=100)
    c = mcollections.PatchCollection([e], transform=mtrans.IdentityTransform(),
                                     alpha=0.5)
    ax.add_collection(c)
    assert isinstance(c._transOffset, mtrans.IdentityTransform)


def test_point_in_path():
    # Test #1787
    verts2 = [(0,0), (0,1), (1,1), (1,0), (0,0)]

    path = mpath.Path(verts2, closed=True)
    points = [(0.5,0.5), (1.5,0.5)]

    assert np.all(path.contains_points(points) == [True, False])


@image_comparison(baseline_images=["clip_path_clipping"], remove_text=True)
def test_clipping():
    exterior = mpath.Path.unit_rectangle().deepcopy()
    exterior.vertices *= 4
    exterior.vertices -= 2
    interior = mpath.Path.unit_circle().deepcopy()
    interior.vertices = interior.vertices[::-1]
    clip_path = mpath.Path(vertices=np.concatenate([exterior.vertices,
                                                    interior.vertices]),
                           codes=np.concatenate([exterior.codes,
                                                 interior.codes]))

    star = mpath.Path.unit_regular_star(6).deepcopy()
    star.vertices *= 2.6

    ax1 = plt.subplot(121)
    col = mcollections.PathCollection([star], lw=5, edgecolor='blue',
                                      facecolor='red', alpha=0.7, hatch='*')
    col.set_clip_path(clip_path, ax1.transData)
    ax1.add_collection(col)

    ax2 = plt.subplot(122, sharex=ax1, sharey=ax1)
    patch = mpatches.PathPatch(star, lw=5, edgecolor='blue', facecolor='red',
                               alpha=0.7, hatch='*')
    patch.set_clip_path(clip_path, ax2.transData)
    ax2.add_patch(patch)

    ax1.set_xlim([-3, 3])
    ax1.set_ylim([-3, 3])


if __name__=='__main__':
    import nose
    nose.runmodule(argv=['-s','--with-doctest'], exit=False)

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