On Thu, Apr 26, 2012 at 12:51 PM, willfurnass <w...@thearete.co.uk> wrote:
>
> I've converted a simple MATLAB script [1] for wavelet decomposition-based
> analysis to Python. I now want to create figures similar to [2] that
> feature five subplots in one column, with the 1st and 3rd being generated
> using 'subplot.plot' and the others being generated using 'subplot.imshow'.
>
> I want to find a way of scaling the x and y axes of all subplots so that
> they're the same size on screen across all subplots. Unfortunately I can't
> find any combination of 'aspect' or 'extent' that will let me do this. I
> should note that I've added colorbars to all my image plots; the problem
> exists regardless of whether these are used.
>
> Has anyone got any suggestions? Apologies if this is a trivial matter; I'm
> fairly new to MP.
>
> FYI I'm using matplotlib v1.1.0.
>
> [1]
>
> http://www.mathworks.com/matlabcentral/fileexchange/18409-comparing-time-series-using-semblance-analysis
> [2] http://www.mathworks.com/matlabcentral/fx_files/18409/1/goldoil.jpg
>
> Regards,
>
> Will Furnass
>
>
You could try
fig, axes = plt.subplots(nrows=5, sharex=True, sharey=True)
And then call `axes[0].plot(...)` and `axes[1].imshow(...)`. You could also
unpack the axes array and access them that way (if you prefer):
ax0, ax1, ax2, ax3, ax4 = axes
ax0.plot(...)
Best,
-Tony
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