Dear matplotlib group,
for the represenation of 2d measurement data I use the contourplot function
from matplotlib. Some points in this map are not measurabel, therefore I get
a non numerical value (nan) output.
>From this data I want to generate a map and a histogram plot. This works
fine, as long as I use regular matrix/array data structure without any
voids.
My questions are:
(1) How can I make use of plotting data with NAN values as contour and
asigns such values eg as black points?
(2) How can I use the matplotlib hist() function with this data, that also
include such missing data points?
Maybe there is an easy workaround for this.
Thanks a lot for your support,
Dirk
(python2.51/matplotlib-0.90.1, win32)
my code:
...
import matplotlib
...
my2dData=[[1,2,3,4,5.0 ,NaN,7,8,9,10],[10,9,8,7,6,5,4,3,2,1]]
...
figure(1)
imshow(my2dData)
pylab.show()
..
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