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Implement clim_percentile for RGB #6137

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Implement clim_percentile for RGB #6137

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52265d6
Implement clip
ahuang11 Feb 28, 2024
326d8ab
Reverse order and address comment
ahuang11 Mar 1, 2024
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13 changes: 13 additions & 0 deletions holoviews/plotting/bokeh/raster.py
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Original file line number Diff line number Diff line change
Expand Up @@ -136,6 +136,11 @@ class RGBPlot(LegendPlot):

padding = param.ClassSelector(default=0, class_=(int, float, tuple))

clim_percentile = param.ClassSelector(default=False, class_=(int, float, bool), doc="""
Percentile value to compute colorscale robust to outliers. If
True, uses 2nd and 98th percentile; otherwise uses the specified
numerical percentile value.""")

style_opts = ['alpha'] + base_properties

_nonvectorized_styles = style_opts
Expand Down Expand Up @@ -181,6 +186,14 @@ def get_data(self, element, ranges, style):
img = np.dstack([element.dimension_values(d, flat=False)
for d in element.vdims])

if self.clim_percentile:
if isinstance(self.clim_percentile, (int, float)):
low, high = np.percentile(img, (self.clim_percentile, 100 - self.clim_percentile))
else: # True
low, high = np.percentile(img, (2, 98))
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img = np.clip(img, low, high)
img = img / img.max((0, 1)) * 255
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nan_mask = np.isnan(img)
img[nan_mask] = 0

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