Re: [Matplotlib-users] how to make mat.figure.Figure.add_axes generated axes adjustable with the interactive tool?

2013-07-27 Thread ChaoYue
Hi, thanks.

the attached is what I achieved so far. Looks quite nice.

each subplot visible now actually contains two mat.axes.Axes object (with
bottom and top spines invisible)
which is created by using the fig.add_axes, before the place occupied by
the two axes now is actually
only one single subplot ojbect, which is created by using fig,axs =
plt.subplots(2,3). something like this:

for ax in axs.flatten():
 #some way to find the position of the two new axes
 sub1 = fig.add_axes()
 sub2 = fig.add_axes()
 fig.delaxes(ax)

Now the problem is that all the original subplots have been removed,
replaced by 2X6 mat.axes.Axes,
But they don't respond to any operation in the interacitve window (like,
you can use your mouse to select
the left/righ/wspace etc)

I hope I am clear. thanks!

cheers,

Chao

On Fri, Jul 26, 2013 at 5:55 PM, Sterling Smith [via matplotlib] 
ml-node+s1069221n41615...@n5.nabble.com wrote:

 Chao,

 You are right, fig.add_subplot does not support precise positioning.  Why
 don't you send a picture of a sample layout you have obtained with
 add_axes?

 -Sterling

 On Jul 26, 2013, at 1:26AM, ChaoYue wrote:

  Dear Sterling,
 
  thanks for your answer. The idea is that I would like to add a subplot
 with precise position, as in the method of fig.add_axes?
  Does fig.add_subplot support this, I tried
 fig.add_subplot(position=(0.2,0.2,0.1,0.1)) but it does not work...
 
  thanks!
 
  Chao
 
  On Thu, Jul 25, 2013 at 8:09 PM, Sterling Smith [via matplotlib]
 [hidden email] wrote:
  Chao,
 
  plt.subplots returns a figure instance.  Can you use the add_subplot
 method of that figure instance to make your new axes?  If so, then I think
 that they should respond to the new requests for left/right/bottom/wspace
 space.
 
  -Sterling
 
  On Jul 25, 2013, at 10:06AM, Chao YUE wrote:
 
   Dear all,
  
   First I make some subplots using the plt.subplots command,
   then I use mat.figure.Figure.delaxes to delete the axes, and add some
 small new ones
   in the same space by using mat.figure.Figure.add_axes, but I find
 after rendering the
   figure in the interative window, I cannot adjust the
 left/right/bottom/wspace etc in a
   interactive way, the old subplots that are generated using
 plt.subplots command will
   move, and the new ones generated using mat.figure.Figure.add_axes just
 don't
   move at all, so what should I do if I want the new ones also move?
 Because
   the interative window is really useful when you want to have figures
 quickly.
  
   thanks a lot for any hints.
  
   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
  
 

  
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  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
 
 

 
  View this message in context: Re: how to make mat.figure.Figure.add_axes
 generated axes 

[Matplotlib-users] Scatter animations with colormaps

2013-07-27 Thread Magician
Hi all,


I'm trying to animate scatter plots on Matplotlib 1.2.1.
My code is as below:
 import numpy as np
 import matplotlib as mpl
 import matplotlib.pyplot as plt
 import matplotlib.animation as anm
 
 x = np.array([np.cos(i) for i in np.arange(0.0, 360.0, 9.0) / 180.0 * np.pi])
 y = np.array([np.sin(i) for i in np.arange(0.0, 360.0, 9.0) / 180.0 * np.pi])
 z = np.arange(0.0, 1.0, 0.025)
 
 cdict = {
   'red': (
   (0.0, 0.0, 0.0),
   (0.5, 0.5, 0.5),
   (1.0, 1.0, 1.0)
   ),
   'green': (
   (0.0, 0.0, 0.0),
   (0.5, 0.0, 0.0),
   (1.0, 0.0, 0.0)
   ),
   'blue': (
   (0.0, 0.0, 0.0),
   (0.5, 0.0, 0.0),
   (1.0, 0.0, 0.0)
   )
 }
 my_cmap = mpl.colors.LinearSegmentedColormap('my_colormap', cdict, 256)
 
 fig = plt.figure()
 ax = fig.add_subplot(111)
 
 def init():
   sct.set_offsets(([], []))
 
 def update_sct(i, sct):
   sct.set_offsets((x[i], y[i]))
   return sct
 
 sct = ax.scatter([], [], marker = 'o', s = 10.0, linewidth = 1.0, cmap = 
 my_cmap, c = [])
 sct_anm = anm.FuncAnimation(fig, update_sct, fargs = (sct,), interval = 100, 
 frames = len(x))
 ax.set_xlim((-2.0, 2.0))
 ax.set_ylim((-2.0, 2.0))
 plt.show()

Now I'm trying to set scatters' colors mapped by 'z'.
How can I set scatters' c values in each frame?


Magician
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