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thanks
I found the spectral colormap is best suited to distinguish between many
equal spaced colors.
I am find it sad, that matplotlib has so many features, but is so
unintuitive to use.
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A colormap can be called like a function to get the colors associated to (normalized) values. In your example, it is called with uniformly spaced values (linspace) between 0 and 1. This should return the corresponding colors.
print plt.get_cmap('gray')(0.0)
(0.0, 0.0, 0.0, 1.0)
print plt.get_cmap('gray')(1.0)
(1.0, 1.0, 1.0, 1.0)
print plt.get_cmap('gray')(np.linspace(0,1,6))
[[ 0. 0. 0. 1. ]
 [ 0.2 0.2 0.2 1. ]
 [ 0.4 0.4 0.4 1. ]
 [ 0.6 0.6 0.6 1. ]
 [ 0.8 0.8 0.8 1. ]
 [ 1. 1. 1. 1. ]]
Nicolas
On 08 May 2014, at 11:41, MaxMax <a32...@dr...> wrote:
> i have found a solution for creating colors for many plots at this page:
> http://stackoverflow.com/questions/7513262/matplotlib-large-set-of-colors-for-plots
> 
> what does this the following line do?
> colors = plt.get_cmap('jet')(np.linspace(0, 1.0, len(kinds)))
> 
> plt.get_cmap('jet') gets a LinearSegmentedColormap object and np.linspace
> creates a ndarray
> but what happens because of this instruction?
> 
> 
> 
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i have found a solution for creating colors for many plots at this page:
http://stackoverflow.com/questions/7513262/matplotlib-large-set-of-colors-for-plots
what does this the following line do?
colors = plt.get_cmap('jet')(np.linspace(0, 1.0, len(kinds)))
plt.get_cmap('jet') gets a LinearSegmentedColormap object and np.linspace
creates a ndarray
but what happens because of this instruction?
--
View this message in context: http://matplotlib.1069221.n5.nabble.com/creating-colors-for-many-plots-tp43381.html
Sent from the matplotlib - users mailing list archive at Nabble.com.

On 2014年05月07日 2:12 PM, Yuxiang Wang wrote:
> Dear all,
>
> I was wondering that, is there a method like axes.set_sharex(ax0) so I
> can directly set the sharex and sharey properties of an axes object?
> It seems that the only way to do this is at time of creation via
> fig.add_subplots(1, 2, 2, sharex=ax0). If I have already created the
> axes using the plt.subplots() method, this wouldn't work.
>
> Could anyone please help make sure that I am understanding this
> question correctly?
>
This is correct. If you use plt.subplots with sharex and/or sharey, the 
sharing applies to all subplots.
Eric
> Thank you!
>
> Shawn

Dear all,
I was wondering that, is there a method like axes.set_sharex(ax0) so I
can directly set the sharex and sharey properties of an axes object?
It seems that the only way to do this is at time of creation via
fig.add_subplots(1, 2, 2, sharex=ax0). If I have already created the
axes using the plt.subplots() method, this wouldn't work.
Could anyone please help make sure that I am understanding this
question correctly?
Thank you!
Shawn