Problem solved thanks to Jose.
For interest...
import numpy as np
import matplotlib.pyplot as plt
a = np.array([[1,2,3,np.nan,5],[4,22,np.nan,11,9]])
palette = plt.cm.jet
palette.set_bad ('w',1.0) # Bad values (i.e., masked, set to grey 0.8
A = np.ma.array ( a, mask=np.isnan(a))
plt.imshow(A,interpolation='nearest',cmap=palette)
plt.show()
mdekauwe wrote:
>
> Hi,
>
> I am trying to plot a 2D array which contains some NaN values as a map. I
> would like to be able to control the colours assigned to these data
> points. At the moment it seems that there are given the same colour as the
> highest value in the array. Any suggestions would be appreciated. Although
> not using the basemap I think this example highlights my issue
>
> import numpy as np
> import matplotlib.pyplot as plt
> a = np.array([[1,2,3,np.nan,5],[4,22,np.nan,11,9]])
> plt.imshow(a)
> plt.show()
>
> as you can hopefully see the NaNs are given the same colours as the
> highest values in the array. Ideally I would like to give these the colour
> white, regardless of what colourmap is later applied with basemap.
>
> Many thanks
>
> Martin
>
--
View this message in context:
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