Zero-value colour in matplotlib hexbin

I have some spatially-distributed data. I'm plotting this with matplotlib.pyplot.hexbin and would like to change the "background" (i.e. zero-value) colour. An example is shown below - my colour-map of choice is matplotlib.cm.jet:

开发者_Python百科

How can I change the base colour from blue to white? I have done something similar with masked arrays when using pcolormesh, but I can't see anyway of doing so in the hexbin arguments. My instinct would be to edit the colourmap itself, but I've not had much experience with that.

I'm using matplotlib v.0.99.1.1

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hexbin(x,y,mincnt=1) should do the trick. Essentially, you only want to display the hexagons with more than 1 count in them.

from numpy import linspace
from numpy.random import normal
from pylab import hexbin,show

n = 2**6

x = linspace(-1,1,n)
y = normal(0,1,n)

h = hexbin(x,y,gridsize=10,mincnt=0)

gives,

and h = hexbin(x,y,gridsize=10,mincnt=1) gives,