matplotlib-users Mailing List for matplotlib

The code below uses axisartist toolkit.
http://nbviewer.ipython.org/5467593
This is modified from 3rd example from the below example.
http://matplotlib.org/examples/axes_grid/demo_floating_axes.html
I hope this helps.
Regards,
-JJ
On Tue, Apr 23, 2013 at 11:17 PM, Marian Jakubik <mja...@ta...> wrote:
> Hi all,
>
> is there any possibility to show only first quadrant in hammer
> projection? If it is not implemented in matplotlib, have you any trick
> for doing this?
>
> Thanks in advance for your help.
>
> Best,
> Marian
>
>
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You need to create a new handler. I guess the code below is close to what
you want. I hope this helps.
http://nbviewer.ipython.org/5495680
Regards,
-JJ
On Wed, May 1, 2013 at 5:24 AM, mgurling <mag...@gm...> wrote:
> I'm trying to make a legend handle that is half black and half hatched.
> I've
> tried ...
>
> ...
> rpos1 = ax.bar(ind, pos1, width, color='k', label='+1')
> rneg1 = ax.bar(ind, neg1, width, color='w', hatch='///', label='-1')
>
> rpos2 = ax.bar(ind, pos2, width, color='w', label='+2')
> rneg2 = ax.bar(ind, neg2, width, color='w', label='-2')
>
> handles, labels = ax.get_legend_handles_labels()
> ax.legend( ((handles[0], handles[1]), handles[2]) , ('one', 'two') )
> ...
>
> The first handles--handles[0] and handles[1]--are combined but not side by
> side: the hatched rectangle is placed over the top of the black rectangle
> so
> the handle looks like it is just hatched. How might I create this mixed
> handle?
>
>
>
> --
> View this message in context:
> http://matplotlib.1069221.n5.nabble.com/black-and-hatched-legend-handle-tp40979.html
> Sent from the matplotlib - users mailing list archive at Nabble.com.
>
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Dear all,
When I start to make the plots for my first publication of my PhD study. I
use the plot command
to make some line and scatter plots, then I find myself want to have some
scatter plot as well,
and I want to change some of the scatter points colors. And probably later
I want bar plots....
So I find it taking me 3 hours to change the underlying code just to change
a plot type of the same
data. Don't know others have the same issue....
Then I started to write some small functions with the idea of like "data
centered plotting", it wraps
some of the maplotlib functions in a STUPID, SIMPLE yet flexible way. The
idea is not for large scale
production purpose, but for a "quick-look" of the data with some
"intermediate-stage of easthetic",
for a rather small amount of data.
So I ended with a small library of which I called Pdata. (short for
PlotData, which means data centered
plotting functions). I don't know if others have similar demand. However I
put it here to just have some
comments from you.
You're invited to spend 5mins on this small ipython notebook:
https://gist.github.com/ChaoYue/5494557
use http://nbviewer.ipython.org/ to check it.
cheers,
Chao
-- 
***********************************************************************************
Chao YUE
Laboratoire des Sciences du Climat et de l'Environnement (LSCE-IPSL)
UMR 1572 CEA-CNRS-UVSQ
Batiment 712 - Pe 119
91191 GIF Sur YVETTE Cedex
Tel: (33) 01 69 08 29 02; Fax:01.69.08.77.16
************************************************************************************