Added min_alpha parameter to shade and datashade
@@ -530,6 +530,12 @@ class shade(Operation):
Disable when you do not want the resulting plot to be interactive,
e.g. when trying to display an interactive plot a second time.""")
+ min_alpha = param.Number(default=40, doc="""
+ The minimum alpha value to use for non-empty pixels when doing
+ colormapping, in [0, 255]. Use a higher value to avoid
+ undersaturation, i.e. poorly visible low-value datapoints, at
+ the expense of the overall dynamic range..""")
+
@classmethod
def concatenate(cls, overlay):
"""
@@ -577,7 +583,7 @@ class shade(Operation):
# Compute shading options depending on whether
# it is a categorical or regular aggregate
- shade_opts = dict(how=self.p.normalization)
+ shade_opts = dict(how=self.p.normalization, min_alpha=self.p.min_alpha)
if element.ndims > 2:
kdims = element.kdims[1:]
categories = array.shape[-1]
