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?')