Python 2.7.6

=================== Sample starts here =============

#!/usr/bin/env python

import matplotlib
import matplotlib.pyplot

min,max = (1,100)
cm = matplotlib.pyplot.get_cmap('jet') 
cNorm0 = matplotlib.colors.Normalize(vmin=min, vmax=max)
cNorm1 = matplotlib.colors.LogNorm(vmin=min, vmax=max)
cNorm2 = matplotlib.colors.PowerNorm(1.,vmin=min, vmax=max,clip=True)
scalarMap0 = matplotlib.cm.ScalarMappable(norm=cNorm0, cmap=cm)
scalarMap1 = matplotlib.cm.ScalarMappable(norm=cNorm1, cmap=cm)
scalarMap2 = matplotlib.cm.ScalarMappable(norm=cNorm2, cmap=cm)

value = 50.
print "min,max",min,max
print "RGB for Normalize(50)", scalarMap0.to_rgba(value)
print "RGB for LogNorm(50)", scalarMap1.to_rgba(value)
print "RGB for PowerNorm(50)", scalarMap2.to_rgba([value])[0]
print "RGB for PowerNorm(50)", scalarMap2.to_rgba(value)

============== Sample ends here ==================

Output:

$ ./powernorm.py
min,max 1 100
RGB for Normalize(50) (0.46489563567362424, 1.0, 0.50284629981024676, 1.0)
RGB for LogNorm(50) (1.0, 0.21859114015976777, 0.0, 1.0)
RGB for PowerNorm(50) [ 0.46489564  1.          0.5028463   1.        ]
RGB for PowerNorm(50)
Traceback (most recent call last):
  File "./powernorm.py", line 20, in <module>
    print "RGB for PowerNorm(50)", scalarMap2.to_rgba(value)
  File "C:\Python27\lib\site-packages\matplotlib\cm.py", line 262, in to_rgba
    x = self.norm(x)
  File "C:\Python27\lib\site-packages\matplotlib\colors.py", line 1180, in __call__
    result[value < 0] = 0
  File "C:\Python27\lib\site-packages\numpy\ma\core.py", line 3072, in __setitem__
    ndarray.__setitem__(_data, indx, dval)
ValueError: boolean index array should have 1 dimension

[TAC edited to add markup]

Uh oh!

PowerNorm().__call__ doesn't work with scalar input value #4053

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PowerNorm().call doesn't work with scalar input value #4053