def test_not_main(self, mock_resolve):
mock_resolve.return_value = self.data
frequency.add_waterfall(self.ax, self.data, 'mode_kappa',
direction='x', main=False, invert=False)
self.ax.scatter.assert_called_once()
self.ax.set_xlabel.assert_not_called()
self.ax.set_ylabel.assert_not_called()
self.ax.set_xlim.assert_not_called()
self.ax.set_ylim.assert_not_called()
mock_resolve.assert_called_once()
def test_default(self, mock_resolve):
mock_resolve.return_value = self.data
frequency.add_waterfall(self.ax, self.data, 'mode_kappa',
direction='x', main=True, invert=False)
self.assertEqual(self.ax.scatter.call_count, 2)
self.ax.set_xlabel.assert_called_once()
self.ax.set_ylabel.assert_called_once()
self.ax.set_xlim.assert_called_once_with(0, 999)
self.ax.set_ylim.assert_called_once_with(11, 999)
self.assertEqual(mock_resolve.call_count, 2)
def setUpClass(cls):
cls.d = {'frequency': [[range(1000)]],
'mode_kappa': [[[[[range(1000,2000)]]]]],
'temperature': [11],
'meta': {}}
cls.fig, cls.ax = one()
cls.ax = frequency.add_waterfall(cls.ax, cls.d, 'mode_kappa',
direction='x', main=True, invert=True)
def test_colour(self):
colour = 'red'
fig, ax = one()
ax = frequency.add_waterfall(ax, self.d, 'mode_kappa', direction='x',
main=True, colour=colour)
def test_colours(self):
cmap = mpl.cm.get_cmap('viridis')
colours = cmap([0])
fig, ax = one()
ax = frequency.add_waterfall(ax, self.d, 'mode_kappa', direction='x',
main=True, colour=colours)
