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Copy pathtest_pickle.py
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205 lines (155 loc) · 5.5 KB
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from io import BytesIO
import pickle
import platform
import numpy as np
import pytest
from matplotlib import cm
from matplotlib.testing.decorators import image_comparison
from matplotlib.dates import rrulewrapper
import matplotlib.pyplot as plt
import matplotlib.transforms as mtransforms
import matplotlib.figure as mfigure
def test_simple():
fig = plt.figure()
pickle.dump(fig, BytesIO(), pickle.HIGHEST_PROTOCOL)
ax = plt.subplot(121)
pickle.dump(ax, BytesIO(), pickle.HIGHEST_PROTOCOL)
ax = plt.axes(projection='polar')
plt.plot(np.arange(10), label='foobar')
plt.legend()
pickle.dump(ax, BytesIO(), pickle.HIGHEST_PROTOCOL)
# ax = plt.subplot(121, projection='hammer')
# pickle.dump(ax, BytesIO(), pickle.HIGHEST_PROTOCOL)
plt.figure()
plt.bar(x=np.arange(10), height=np.arange(10))
pickle.dump(plt.gca(), BytesIO(), pickle.HIGHEST_PROTOCOL)
fig = plt.figure()
ax = plt.axes()
plt.plot(np.arange(10))
ax.set_yscale('log')
pickle.dump(fig, BytesIO(), pickle.HIGHEST_PROTOCOL)
@image_comparison(['multi_pickle.png'], remove_text=True, style='mpl20',
tol={'aarch64': 0.082}.get(platform.machine(), 0.0))
def test_complete():
fig = plt.figure('Figure with a label?', figsize=(10, 6))
plt.suptitle('Can you fit any more in a figure?')
# make some arbitrary data
x, y = np.arange(8), np.arange(10)
data = u = v = np.linspace(0, 10, 80).reshape(10, 8)
v = np.sin(v * -0.6)
# Ensure lists also pickle correctly.
plt.subplot(3, 3, 1)
plt.plot(list(range(10)))
plt.subplot(3, 3, 2)
plt.contourf(data, hatches=['//', 'ooo'])
plt.colorbar()
plt.subplot(3, 3, 3)
plt.pcolormesh(data)
plt.subplot(3, 3, 4)
plt.imshow(data)
plt.subplot(3, 3, 5)
plt.pcolor(data)
ax = plt.subplot(3, 3, 6)
ax.set_xlim(0, 7)
ax.set_ylim(0, 9)
plt.streamplot(x, y, u, v)
ax = plt.subplot(3, 3, 7)
ax.set_xlim(0, 7)
ax.set_ylim(0, 9)
plt.quiver(x, y, u, v)
plt.subplot(3, 3, 8)
plt.scatter(x, x**2, label='$x^2$')
plt.legend(loc='upper left')
plt.subplot(3, 3, 9)
plt.errorbar(x, x * -0.5, xerr=0.2, yerr=0.4)
#
# plotting is done, now test its pickle-ability
#
result_fh = BytesIO()
pickle.dump(fig, result_fh, pickle.HIGHEST_PROTOCOL)
plt.close('all')
# make doubly sure that there are no figures left
assert plt._pylab_helpers.Gcf.figs == {}
# wind back the fh and load in the figure
result_fh.seek(0)
fig = pickle.load(result_fh)
# make sure there is now a figure manager
assert plt._pylab_helpers.Gcf.figs != {}
assert fig.get_label() == 'Figure with a label?'
def test_no_pyplot():
# tests pickle-ability of a figure not created with pyplot
from matplotlib.backends.backend_pdf import FigureCanvasPdf
fig = mfigure.Figure()
_ = FigureCanvasPdf(fig)
ax = fig.add_subplot(1, 1, 1)
ax.plot([1, 2, 3], [1, 2, 3])
pickle.dump(fig, BytesIO(), pickle.HIGHEST_PROTOCOL)
def test_renderer():
from matplotlib.backends.backend_agg import RendererAgg
renderer = RendererAgg(10, 20, 30)
pickle.dump(renderer, BytesIO())
def test_image():
# Prior to v1.4.0 the Image would cache data which was not picklable
# once it had been drawn.
from matplotlib.backends.backend_agg import new_figure_manager
manager = new_figure_manager(1000)
fig = manager.canvas.figure
ax = fig.add_subplot(1, 1, 1)
ax.imshow(np.arange(12).reshape(3, 4))
manager.canvas.draw()
pickle.dump(fig, BytesIO())
def test_polar():
plt.subplot(111, polar=True)
fig = plt.gcf()
pf = pickle.dumps(fig)
pickle.loads(pf)
plt.draw()
class TransformBlob:
def __init__(self):
self.identity = mtransforms.IdentityTransform()
self.identity2 = mtransforms.IdentityTransform()
# Force use of the more complex composition.
self.composite = mtransforms.CompositeGenericTransform(
self.identity,
self.identity2)
# Check parent -> child links of TransformWrapper.
self.wrapper = mtransforms.TransformWrapper(self.composite)
# Check child -> parent links of TransformWrapper.
self.composite2 = mtransforms.CompositeGenericTransform(
self.wrapper,
self.identity)
def test_transform():
obj = TransformBlob()
pf = pickle.dumps(obj)
del obj
obj = pickle.loads(pf)
# Check parent -> child links of TransformWrapper.
assert obj.wrapper._child == obj.composite
# Check child -> parent links of TransformWrapper.
assert [v() for v in obj.wrapper._parents.values()] == [obj.composite2]
# Check input and output dimensions are set as expected.
assert obj.wrapper.input_dims == obj.composite.input_dims
assert obj.wrapper.output_dims == obj.composite.output_dims
def test_rrulewrapper():
r = rrulewrapper(2)
try:
pickle.loads(pickle.dumps(r))
except RecursionError:
print('rrulewrapper pickling test failed')
raise
def test_shared():
fig, axs = plt.subplots(2, sharex=True)
fig = pickle.loads(pickle.dumps(fig))
fig.axes[0].set_xlim(10, 20)
assert fig.axes[1].get_xlim() == (10, 20)
@pytest.mark.parametrize("cmap", cm._cmap_registry.values())
def test_cmap(cmap):
pickle.dumps(cmap)
def test_unpickle_canvas():
fig = mfigure.Figure()
assert fig.canvas is not None
out = BytesIO()
pickle.dump(fig, out)
out.seek(0)
fig2 = pickle.load(out)
assert fig2.canvas is not None