def pickle_load(filename):
"""
Equivalent to pickle.load(open(filename, 'r'))
but closes the file to prevent filehandle leakage.
"""
with open(filename, 'rb') as fh:
data = pickle.load(fh)
return data
def pickle_load(filename):
"""
Equivalent to pickle.load(open(filename, 'r'))
but closes the file to prevent filehandle leakage.
"""
with open(filename, 'rb') as fh:
data = pickle.load(fh)
return data
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)
plt.subplot(3, 3, 1)
plt.plot(list(xrange(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 #########
# Uncomment to debug any unpicklable objects. This is slow (~200 seconds).
# recursive_pickle(fig)
result_fh = BytesIO()
pickle.dump(fig, result_fh, pickle.HIGHEST_PROTOCOL)
plt.close('all')
# make doubly sure that there are no figures left
assert_equal(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_not_equal(plt._pylab_helpers.Gcf.figs, {})
assert_equal(fig.get_label(), 'Figure with a label?')
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)
plt.subplot(3, 3, 1)
plt.plot(list(xrange(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 #########
# Uncomment to debug any unpicklable objects. This is slow (~200 seconds).
# recursive_pickle(fig)
result_fh = BytesIO()
pickle.dump(fig, result_fh, pickle.HIGHEST_PROTOCOL)
plt.close('all')
# make doubly sure that there are no figures left
assert_equal(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_not_equal(plt._pylab_helpers.Gcf.figs, {})
assert_equal(fig.get_label(), 'Figure with a label?')
