def test_raster_invert_axes(self):
arr = np.array([[0, 1, 2], [3, 4, 5]])
raster = Raster(arr).opts(invert_axes=True)
plot = mpl_renderer.get_plot(raster)
artist = plot.handles['artist']
self.assertEqual(artist.get_array().data, arr.T[::-1])
self.assertEqual(artist.get_extent(), [0, 2, 0, 3])
def test_raster_nodata_uint(self):
arr = np.array([[0, 1, 2], [3, 4, 5]], dtype='uint32')
expected = np.array([[3, 4, 5], [np.NaN, 1, 2]])
raster = Raster(arr).opts(nodata=0)
plot = mpl_renderer.get_plot(raster)
artist = plot.handles['artist']
self.assertEqual(artist.get_array().data, expected)
def test_raster_invert_axes(self):
arr = np.array([[0, 1, 2], [3, 4, 5]])
raster = Raster(arr).opts(plot=dict(invert_axes=True))
plot = bokeh_renderer.get_plot(raster)
source = plot.handles['source']
self.assertEqual(source.data['image'][0], np.rot90(arr))
self.assertEqual(source.data['x'][0], 0)
self.assertEqual(source.data['y'][0], 3)
self.assertEqual(source.data['dw'][0], 2)
self.assertEqual(source.data['dh'][0], -3)
def test_raster_range_masked(self):
arr = np.random.rand(10,10)-0.5
arr = np.ma.masked_where(arr<=0, arr)
rrange = Raster(arr).range(2)
self.assertEqual(rrange, (np.min(arr), np.max(arr)))
def test_raster_sample(self):
raster = Raster(self.array1)
self.assertEqual(raster.sample(y=0),
Curve(np.array([(0, 0), (1, 1), (2, 2)]),
kdims=['x'], vdims=['z']))
def test_raster_index(self):
raster = Raster(self.array1)
self.assertEqual(raster[0, 1], 3)
def test_raster_init(self):
Raster(self.array1)
def test_raster_sample(self):
raster = Raster(self.array1)
self.assertEqual(raster.sample(y=0).data,
np.array([(0, 0), (1, 1), (2, 2)]))
