import numpy as np from holoviews.element import Image from .testplot import TestPlotlyPlot class TestImagePlot(TestPlotlyPlot): def test_image_state(self): img = Image(([1, 2, 3], [0, 1], np.array([[0, 1, 2], [2, 3, 4]]))) state = self._get_plot_state(img) self.assertEqual(state['data'][0]['type'], 'heatmap') self.assertEqual(state['data'][0]['x0'], 1) self.assertEqual(state['data'][0]['dx'], 1) self.assertEqual(state['data'][0]['y0'], 0) self.assertEqual(state['data'][0]['dy'], 1) self.assertEqual(state['data'][0]['z'], np.array([[0, 1, 2], [2, 3, 4]])) self.assertEqual(state['data'][0]['zmin'], 0) self.assertEqual(state['data'][0]['zmax'], 4) self.assertEqual(state['layout']['xaxis']['range'], [0.5, 3.5]) self.assertEqual(state['layout']['yaxis']['range'], [-0.5, 1.5]) def test_image_nodata(self): img = Image(([1, 2, 3], [0, 1], np.array([[0, 1, 2], [2, 3, 4]]))).opts(nodata=0) state = self._get_plot_state(img) self.assertEqual(state['data'][0]['type'], 'heatmap') self.assertEqual(state['data'][0]['z'], np.array([[np.NaN, 1, 2], [2, 3, 4]])) def test_image_nodata_unint(self): img = Image(([1, 2, 3], [0, 1], np.array([[0, 1, 2], [2, 3, 4]], dtype='uint32'))).opts(nodata=0) state = self._get_plot_state(img) self.assertEqual(state['data'][0]['type'], 'heatmap') self.assertEqual(state['data'][0]['z'], np.array([[np.NaN, 1, 2], [2, 3, 4]])) def test_image_state_inverted(self): img = Image(([1, 2, 3], [0, 1], np.array([[0, 1, 2], [2, 3, 4]]))).options( invert_axes=True) state = self._get_plot_state(img) self.assertEqual(state['data'][0]['y0'], 1) self.assertEqual(state['data'][0]['dy'], 1) self.assertEqual(state['data'][0]['x0'], 0) self.assertEqual(state['data'][0]['dx'], 1) self.assertEqual(state['data'][0]['z'], np.array([[0, 1, 2], [2, 3, 4]]).T) self.assertEqual(state['data'][0]['zmin'], 0) self.assertEqual(state['data'][0]['zmax'], 4) self.assertEqual(state['layout']['yaxis']['range'], [0.5, 3.5]) self.assertEqual(state['layout']['xaxis']['range'], [-0.5, 1.5]) def test_visible(self): element = Image( ([1, 2, 3], [0, 1], np.array([[0, 1, 2], [2, 3, 4]])) ).options(visible=False) state = self._get_plot_state(element) self.assertEqual(state['data'][0]['visible'], False)