One option is to use proxy artists.
http://matplotlib.sourceforge.net/users/legend_guide.html#using-proxy-artist
Regards,
-JJ
2010/10/26 Marek GiebuĊtowski :
> Dear All,
> I use hist in pylab.I have different sets of data in different colours
> in one chart. In legend all rectangulars are unfo
Try this.
def get_indx(irow, icol):
return irow*4+icol
ax = plt.subplot(gs[get_indx(0,3):get_indx(3,3)])
With 1d slicing, the axes will occupy the rectangle defined by the
start and stop location.
For example,
gs[i:j]
will occupy the rectangular area between
gs[i] and gs[j-1].
Let me kno
the "bbox_inches" option does not work well for your case since the
axes frame (although not visible) occupy much larger area than your
plot elements. Make axis limits more tighter, then try to use
bbox_inches option (with this, you don't need to fiddle with subplot
params).
Here is my try.
ax.se
Bringing up an old thread, but just curious if this can be done with the plot
command as well, as in:
plt.plot(X,Y[1:3,:].T,c=['blue','red'])
Thanks,
john
sordnay wrote:
>
>
> John Hunter-4 wrote:
>>
>> On Fri, Jun 20, 2008 at 6:14 PM, sordnay wrote:
>>>
>>> Hi all,
>>> I'm trying to plot i
On 10/26/2010 04:50 AM, Maarten Sneep wrote:
> Hi,
>
> I did solve my own question. For posterity, and perhaps for a more
> elegant solution, I post my solution here.
>
> On Tue, 2010-10-26 at 10:56 +0200, Maarten Sneep wrote:
>
>> I have an image with cloud pressures, 1000 at the surface, 200 at t
On Tue, Oct 26, 2010 at 12:45 AM, Drew Frank wrote:
> I believe I've found a problem with the following cookbook example:
> http://www.scipy.org/Cookbook/Matplotlib/Animations?action=show#head-3d51654b8306b1585664e7fe060a60fc76e5aa08.
> Specifically, the example calls canvas.copy_from_bbox() be
Hi,
I did solve my own question. For posterity, and perhaps for a more
elegant solution, I post my solution here.
On Tue, 2010-10-26 at 10:56 +0200, Maarten Sneep wrote:
> I have an image with cloud pressures, 1000 at the surface, 200 at the
> top of the atmosphere. I'd like to reverse the axis,
Thanks.
This indeed improves the situation (and your suggestions about a for
loop is appreciated).
I am surprised at the fact that I have been able to generate such a plot
via scripting only (well, with a lot of help from the list) by browsing
the online examples and with my limited knowledge of
Hi,
My searching for reverse in the documentation and gallery came up empty,
so I'll try it here:
I have an image with cloud pressures, 1000 at the surface, 200 at the
top of the atmosphere. I'd like to reverse the axis, i.e. 1000 at the
bottom of the scale, 200 at the top. How should I approach
Dear All,
I use hist in pylab.I have different sets of data in different colours
in one chart. In legend all rectangulars are unfortunately blue.
In plot() it is ok but not in hist().
How to receive correct colours in histogram legend?
x is nested list x[1][2][3] is an ordinary list.
for p in rang
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