Peter,

You’re welcome.

While I appreciate that you are trying to cut down on unnecessary emails (as 
per emailcharter.org - interesting read), it is appropriate to include the list 
in your responses, especially one indicating that a solution has been found, so 
that others on the list stop thinking about how they could help, and so that a 
person reading the archived list messages can feel confident that the 
suggestions were worthwhile. :-)  NNTR

-Sterling

On Feb 20, 2015, at 3:20PM, Peter Rowat <pe...@pelican.ucsd.edu> wrote:

> Thank you both for your help, my problem is solved. You both had similar 
> suggestions, and now I have a slightly better understanding of matplotlib.
> 
> Peter
> Save our in-boxes! http://emailcharter.org 
> 
> 
> 
>> On Feb 20, 2015, at 12:48 AM, Fabrice Silva <si...@lma.cnrs-mrs.fr> wrote:
>> 
>> Le jeudi 19 février 2015 à 23:10 -0800, Peter Rowat a écrit :
>>> I apologize for asking such a trivial question, but I’ve spent a long time 
>>> trying to fix this:
>>> 
>>> I have a large 2D array that displays as an image, with a colorbar on the 
>>> side.
>>> I also display 2 curves on top of the image. i.e. in same axes.
>>> The following code does it:
>>> 
>>>    fig,ax = plt.subplots()
>>>    cax = ax.imshow(bighistT, extent=myextent, cmap = cm.coolwarm, aspect = 
>>> myaspect,\
>>>        interpolation='nearest')
>>>    ax.set_title("Dummy title")
>>>    # Add colorbar
>>>    cbar = fig.colorbar(cax)
>>>    ax.set_ylabel('mV')
>>> 
>>>    ax.plot(emtrate, emrate, '.r')                  #curve 1
>>>    ax.plot(tt, rate*50 - 25.0, '-k', linewidth=3)  #curve 2
>>> 
>>>    plt.show()
>>> ========
>>> IN FACT,
>>> I want the curves in separate axes, below the image while the colorbar 
>>> remains immediately to the right
>>> of the image.
>>> 
>>> I've tried many minor variations, for way over an hour..
>>> I've looked at demos, read about colorbar in several different parts of 
>>> matplotlib docs...
>>> 
>>> Can someone help?? .... Either the colorbar is next to the last plot, or 
>>> else I
>>> get an error.
>>> 
>>> Here is code that I've tried: It puts the colorbar in the wrong place, and 
>>> in addition the image size
>>> is very small while the ax2 and ax3 curve plots are much wider. 
>>> I want the image and the second 2 plots the same width.
>>> 
>>> 
>>>    fig, (ax1, ax2,ax3) = plt.subplots(3,1)
>>>    cax = ax1.imshow(bighistT, extent=myextent, cmap = cm.coolwarm, aspect = 
>>> myaspect,\
>>>        interpolation='nearest')
>>>    ax1.set_title("Dummy title")
>>>    # Add colorbar
>>> #   cbar = fig.colorbar(cax)  # this places the colorbar next to the third 
>>> subplot
>>>    plt.colorbar(cax)         # so does this
>> 
>> cax is not the Axes containing the image, but the image itself. It seems
>> that you want to "steal" some space to the first subplot so:
>> 
>>        fig, (ax1, ax2,ax3) = plt.subplots(3,1)
>>        im = ax1.imshow(bighistT, extent=myextent, cmap=cm.coolwarm,
>>                      aspect=myaspect, interpolation='nearest')
>>        ax1.set_title("Dummy title")
>>        cbar = fig.colorbar(im, ax=ax1)
>> 
>> or you can also create a new Axes between ax1 and ax2, and tell
>> colorbar() to put the Colorbar into (with the cax keyword argument)
>> 
>> See
>> http://matplotlib.org/api/figure_api.html#matplotlib.figure.Figure.colorbar
>> 
>> -- 
>> Fabrice
>> 
>> 
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> 


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