Maybe I understand what he means. How can a user override some value in a
colormap? Lets say, in general user wants to inherit some ready made colormap
but in addition wants to force certain colors to some data items.
M.
Eric Firing wrote:
On 2014/03/02 1:02 AM, ChaoYue wrote:
Dear Eric,
This solved part of my problem. thanks a lot.
I think I will revisit this issue when I have time (not promised).
do you think this could be some feature desirable?
I don't understand what feature you are referring to; evidently I don't
understand what the problem is, so I don't know what part remains unsolved.
Eric
Cheers,
Chao
On Sat, Mar 1, 2014 at 10:39 PM, Eric Firing [via matplotlib] [hidden
email] /user/SendEmail.jtp?type=nodenode=42956i=0 wrote:
On 2014/03/01 11:03 AM, ChaoYue wrote:
The most correct way might be to design a new colormap with white
color
exactly in the middle, however this is very tedious, especially if I
want to try
different colormaps. so the alternative approach would be to set
the values
falling in (-1,1) as being masked, so they will be the same as
the axes
background color as you mentioned (in our case it's white). My
question is,
how can I put this background color (which shows maksed data) in the
colorbar,
by avoiding design a new colormap?
It's not the answer you want to hear, but I think the correct answer is
that you should do this via the colormap, and not by masking the low
values. It doesn't have to be painful. If, in contourf, you use a
diverging colormap with white already in the middle
(http://matplotlib.org/examples/color/colormaps_reference.html) and a
norm with symmetric limits (vmin and vmax; you can let them be set
automatically after you specify your symmetric set of contour
boundaries
appropriately) then it will be done for you.
e.g.,
z = 10 * np.random.randn(20, 30)
clevs = [-10, -5, -2, -1, 1, 2, 5, 10]
cs = plt.contourf(z, levels=clevs, cmap=plt.get_cmap('PRGn'),
extend='both')
cbar = plt.colorbar(cs, spacing='uniform')
Eric
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