def addCoverageAlpha(patches, coverage, dropThreshold=0.4):
"""Add alpha values to the colors of a polygon collection.
Parameters
----------
patches : 2D mpl mappable
coverage : array
coverage values. Maximum coverage mean no opaqueness.
dropThreshold : float
relative minimum coverage
"""
patches.set_antialiaseds(True)
patches.set_linewidth(0.000)
# generate individual color values here
patches.update_scalarmappable()
cols = patches.get_facecolor()
C = np.asarray(coverage)
# print(np.min(C), np.max(C))
if (np.min(C) < 0.) | (np.max(C) > 1.) | (np.max(C) < 0.5):
nn, hh = np.histogram(C, 50)
nnn = nn.cumsum(axis=0) / float(len(C))
# print("min-max nnn ", min(nnn), max(nnn))
mi = hh[min(np.where(nnn > 0.02)[0])]
if min(nnn) > dropThreshold:
ma = max(C)
else:
ma = hh[max(np.where(nnn < dropThreshold)[0])]
# mi = hh[min(np.where(nnn > 0.2)[0])]
# ma = hh[max(np.where(nnn < 0.7)[0])]
C = (C - mi) / (ma - mi)
C[np.where(C < 0.)] = 0.0
C[np.where(C > 1.)] = 1.0
else:
print('taking the values directly')
# add alpha value to the color values
cols[:, 3] = C
patches._facecolors = cols
# patches._edgecolor = 'None'
# delete patch data to avoid automatically rewrite of _facecolors
patches._A = None
if hasattr(patches, 'ax'):
updateAxes(patches.ax)
elif hasattr(patches, 'get_axes'):
updateAxes(patches.get_axes())
def addCoverageAlpha(patches, coverage, dropThreshold=0.4):
"""Add alpha values to the colors of a polygon collection.
Parameters
----------
patches : 2D mpl mappable
coverage : array
coverage values. Maximum coverage mean no opaqueness.
dropThreshold : float
relative minimum coverage
"""
patches.set_antialiaseds(True)
patches.set_linewidth(0.000)
# generate individual color values here
patches.update_scalarmappable()
cols = patches.get_facecolor()
C = np.asarray(coverage)
# print(np.min(C), np.max(C))
if (np.min(C) < 0.) | (np.max(C) > 1.) | (np.max(C) < 0.5):
nn, hh = np.histogram(C, 50)
nnn = nn.cumsum(axis=0) / float(len(C))
# print("min-max nnn ", min(nnn), max(nnn))
mi = hh[min(np.where(nnn > 0.02)[0])]
if min(nnn) > dropThreshold:
ma = max(C)
else:
ma = hh[max(np.where(nnn < dropThreshold)[0])]
# mi = hh[min(np.where(nnn > 0.2)[0])]
# ma = hh[max(np.where(nnn < 0.7)[0])]
C = (C - mi) / (ma - mi)
C[np.where(C < 0.)] = 0.0
C[np.where(C > 1.)] = 1.0
# else:
# print('taking the values directly')
# add alpha value to the color values
cols[:, 3] = C
patches._facecolors = cols
# patches._edgecolor = 'None'
# delete patch data to avoid automatically rewrite of _facecolors
patches._A = None
if hasattr(patches, 'ax'):
updateAxes(patches.ax)
elif hasattr(patches, 'get_axes'):
updateAxes(patches.get_axes())