def test_pickle_mpl_bokeh(self):
"""
Test pickle saving and loading with Store (style information preserved)
"""
fname = 'test_pickle_mpl_bokeh.pkl'
raw = super(TestCrossBackendOptionPickling, self).test_mpl_bokeh_mpl()
Store.dump(raw, open(fname, 'wb'))
self.clear_options()
img = Store.load(open(fname, 'rb'))
# Data should match
self.assertEqual(raw, img)
# Check it is still blue in matplotlib...
Store.current_backend = 'matplotlib'
mpl_opts = Store.lookup_options('matplotlib', img, 'style').options
self.assertEqual(mpl_opts, {'cmap': 'Blues'})
# And purple in bokeh..
Store.current_backend = 'bokeh'
bokeh_opts = Store.lookup_options('bokeh', img, 'style').options
self.assertEqual(bokeh_opts, {'cmap': 'Purple'})
def test_pickle_mpl_bokeh(self):
"""
Test pickle saving and loading with Store (style information preserved)
"""
fname = 'test_pickle_mpl_bokeh.pkl'
raw = super(TestCrossBackendOptionPickling, self).test_mpl_bokeh_mpl()
Store.dump(raw, open(fname,'wb'))
self.clear_options()
img = Store.load(open(fname,'rb'))
# Data should match
self.assertEqual(raw, img)
# Check it is still blue in matplotlib...
Store.current_backend = 'matplotlib'
mpl_opts = Store.lookup_options('matplotlib', img, 'style').options
self.assertEqual(mpl_opts, {'cmap':'Blues'})
# And purple in bokeh..
Store.current_backend = 'bokeh'
bokeh_opts = Store.lookup_options('bokeh', img, 'style').options
self.assertEqual(bokeh_opts, {'cmap':'Purple'})
