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Fixed categorical coloring of Contours in matplotlib #2259

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merged 2 commits into from Feb 5, 2018
Merged

Fixed categorical coloring of Contours in matplotlib #2259

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23c4ccf
Fixed categorical coloring of Contours in matplotlib
philippjfr Jan 14, 2018
921752a
Fixed issue generating string arrays
philippjfr Feb 4, 2018
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2 changes: 1 addition & 1 deletion holoviews/core/data/dictionary.py
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Expand Up @@ -213,7 +213,7 @@ def values(cls, dataset, dim, expanded=True, flat=True):
if np.isscalar(values):
if not expanded:
return np.array([values])
values = np.full(len(dataset), values)
values = np.full(len(dataset), values, dtype=np.array(values).dtype)
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@philippjfr philippjfr Feb 4, 2018 •
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This is the most bizarre bug I've come across in a long time. Before I added this dtype approach this line would error (but only on Travis), given this input:np.full(10, 'B'), saying that:

ValueError: could not convert string to float: 'B'

But internally np.full does exactly the same thing I've now done here to fix it:

def full(shape, fill_value, dtype=None, order='C'):
    if dtype is None:
        dtype = array(fill_value).dtype
    a = empty(shape, dtype, order)
    multiarray.copyto(a, fill_value, casting='unsafe')
    return a

Absolutely baffling, but it seems to work now.

else:
if not expanded:
return util.unique_array(values)
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7 changes: 5 additions & 2 deletions holoviews/plotting/mpl/path.py
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Expand Up @@ -85,9 +85,12 @@ def get_data(self, element, ranges, style):
return (paths,), style, {}

if element.level is not None:
style['array'] = np.full(len(paths), element.level)
array = np.full(len(paths), element.level)
else:
style['array'] = element.dimension_values(cdim, expanded=False)
array = element.dimension_values(cdim, expanded=False)
if array.dtype.kind not in 'if':
array = np.searchsorted(np.unique(array), array)
style['array']= array
self._norm_kwargs(element, ranges, style, cdim)
style['clim'] = style.pop('vmin'), style.pop('vmax')
return (paths,), style, {}
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9 changes: 9 additions & 0 deletions tests/testplotinstantiation.py
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Expand Up @@ -341,6 +341,15 @@ def test_image_listed_cmap(self):
self.assertIsInstance(cmap, ListedColormap)
self.assertEqual(cmap.colors, colors)

def test_contours_categorical_color(self):
path = Contours([{('x', 'y'): np.random.rand(10, 2), 'z': cat}
for cat in ('B', 'A', 'B')],
vdims='z').opts(plot=dict(color_index='z'))
plot = mpl_renderer.get_plot(path)
artist = plot.handles['artist']
self.assertEqual(artist.get_array(), np.array([1, 0, 1]))



class TestBokehPlotInstantiation(ComparisonTestCase):

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