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from pathlib import Path
# Check that the test directories exist
if not (Path(__file__).parent / "baseline_images").exists():
raise OSError(
'The baseline image directory does not exist. '
'This is most likely because the test data is not installed. '
'You may need to install matplotlib from source to get the '
'test data.')

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from matplotlib.testing.conftest import (mpl_test_settings, # noqa
pytest_configure, pytest_unconfigure)

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import numpy as np
import matplotlib.pyplot as plt
from matplotlib.backend_bases import MouseEvent
from mpl_toolkits.mplot3d.art3d import Line3DCollection
def test_scatter_3d_projection_conservation():
fig = plt.figure()
ax = fig.add_subplot(projection='3d')
# fix axes3d projection
ax.roll = 0
ax.elev = 0
ax.azim = -45
ax.stale = True
x = [0, 1, 2, 3, 4]
scatter_collection = ax.scatter(x, x, x)
fig.canvas.draw_idle()
# Get scatter location on canvas and freeze the data
scatter_offset = scatter_collection.get_offsets()
scatter_location = ax.transData.transform(scatter_offset)
# Yaw -44 and -46 are enough to produce two set of scatter
# with opposite z-order without moving points too far
for azim in (-44, -46):
ax.azim = azim
ax.stale = True
fig.canvas.draw_idle()
for i in range(5):
# Create a mouse event used to locate and to get index
# from each dots
event = MouseEvent("button_press_event", fig.canvas,
*scatter_location[i, :])
contains, ind = scatter_collection.contains(event)
assert contains is True
assert len(ind["ind"]) == 1
assert ind["ind"][0] == i
def test_zordered_error():
# Smoke test for https://github.com/matplotlib/matplotlib/issues/26497
lc = [(np.fromiter([0.0, 0.0, 0.0], dtype="float"),
np.fromiter([1.0, 1.0, 1.0], dtype="float"))]
pc = [np.fromiter([0.0, 0.0], dtype="float"),
np.fromiter([0.0, 1.0], dtype="float"),
np.fromiter([1.0, 1.0], dtype="float")]
fig = plt.figure()
ax = fig.add_subplot(projection="3d")
ax.add_collection(Line3DCollection(lc))
ax.scatter(*pc, visible=False)
plt.draw()

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import platform
import numpy as np
import matplotlib as mpl
from matplotlib.colors import same_color
from matplotlib.testing.decorators import image_comparison
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import art3d
@image_comparison(['legend_plot.png'], remove_text=True, style='mpl20')
def test_legend_plot():
fig, ax = plt.subplots(subplot_kw=dict(projection='3d'))
x = np.arange(10)
ax.plot(x, 5 - x, 'o', zdir='y', label='z=1')
ax.plot(x, x - 5, 'o', zdir='y', label='z=-1')
ax.legend()
@image_comparison(['legend_bar.png'], remove_text=True, style='mpl20')
def test_legend_bar():
fig, ax = plt.subplots(subplot_kw=dict(projection='3d'))
x = np.arange(10)
b1 = ax.bar(x, x, zdir='y', align='edge', color='m')
b2 = ax.bar(x, x[::-1], zdir='x', align='edge', color='g')
ax.legend([b1[0], b2[0]], ['up', 'down'])
@image_comparison(['fancy.png'], remove_text=True, style='mpl20',
tol=0.011 if platform.machine() == 'arm64' else 0)
def test_fancy():
fig, ax = plt.subplots(subplot_kw=dict(projection='3d'))
ax.plot(np.arange(10), np.full(10, 5), np.full(10, 5), 'o--', label='line')
ax.scatter(np.arange(10), np.arange(10, 0, -1), label='scatter')
ax.errorbar(np.full(10, 5), np.arange(10), np.full(10, 10),
xerr=0.5, zerr=0.5, label='errorbar')
ax.legend(loc='lower left', ncols=2, title='My legend', numpoints=1)
def test_linecollection_scaled_dashes():
lines1 = [[(0, .5), (.5, 1)], [(.3, .6), (.2, .2)]]
lines2 = [[[0.7, .2], [.8, .4]], [[.5, .7], [.6, .1]]]
lines3 = [[[0.6, .2], [.8, .4]], [[.5, .7], [.1, .1]]]
lc1 = art3d.Line3DCollection(lines1, linestyles="--", lw=3)
lc2 = art3d.Line3DCollection(lines2, linestyles="-.")
lc3 = art3d.Line3DCollection(lines3, linestyles=":", lw=.5)
fig, ax = plt.subplots(subplot_kw=dict(projection='3d'))
ax.add_collection(lc1)
ax.add_collection(lc2)
ax.add_collection(lc3)
leg = ax.legend([lc1, lc2, lc3], ['line1', 'line2', 'line 3'])
h1, h2, h3 = leg.legend_handles
for oh, lh in zip((lc1, lc2, lc3), (h1, h2, h3)):
assert oh.get_linestyles()[0] == lh._dash_pattern
def test_handlerline3d():
# Test marker consistency for monolithic Line3D legend handler.
fig, ax = plt.subplots(subplot_kw=dict(projection='3d'))
ax.scatter([0, 1], [0, 1], marker="v")
handles = [art3d.Line3D([0], [0], [0], marker="v")]
leg = ax.legend(handles, ["Aardvark"], numpoints=1)
assert handles[0].get_marker() == leg.legend_handles[0].get_marker()
def test_contour_legend_elements():
x, y = np.mgrid[1:10, 1:10]
h = x * y
colors = ['blue', '#00FF00', 'red']
fig, ax = plt.subplots(subplot_kw=dict(projection='3d'))
cs = ax.contour(x, y, h, levels=[10, 30, 50], colors=colors, extend='both')
artists, labels = cs.legend_elements()
assert labels == ['$x = 10.0$', '$x = 30.0$', '$x = 50.0$']
assert all(isinstance(a, mpl.lines.Line2D) for a in artists)
assert all(same_color(a.get_color(), c)
for a, c in zip(artists, colors))
def test_contourf_legend_elements():
x, y = np.mgrid[1:10, 1:10]
h = x * y
fig, ax = plt.subplots(subplot_kw=dict(projection='3d'))
cs = ax.contourf(x, y, h, levels=[10, 30, 50],
colors=['#FFFF00', '#FF00FF', '#00FFFF'],
extend='both')
cs.cmap.set_over('red')
cs.cmap.set_under('blue')
cs.changed()
artists, labels = cs.legend_elements()
assert labels == ['$x \\leq -1e+250s$',
'$10.0 < x \\leq 30.0$',
'$30.0 < x \\leq 50.0$',
'$x > 1e+250s$']
expected_colors = ('blue', '#FFFF00', '#FF00FF', 'red')
assert all(isinstance(a, mpl.patches.Rectangle) for a in artists)
assert all(same_color(a.get_facecolor(), c)
for a, c in zip(artists, expected_colors))
def test_legend_Poly3dCollection():
verts = np.asarray([[0, 0, 0], [0, 1, 1], [1, 0, 1]])
mesh = art3d.Poly3DCollection([verts], label="surface")
fig, ax = plt.subplots(subplot_kw={"projection": "3d"})
mesh.set_edgecolor('k')
handle = ax.add_collection3d(mesh)
leg = ax.legend()
assert (leg.legend_handles[0].get_facecolor()
== handle.get_facecolor()).all()