[Matplotlib-users] A very simple wrapper of part of the 2D plot functions in matplotlib

[Chao Y. <cha...@gm...>]

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
************************************************************************************