[IPython-dev] IPython's matplotlib inline magic is really magic? Actually it might resets axes bounds...

[Wes Turner]

Ryan,

http://wrdrd.github.io/docs/consulting/data-science.html#data-visualization-tools
On Mar 13, 2015 1:59 PM, "Ryan Nelson" <rnelsonchem at gmail.com> wrote:

> I'm constructing a multi-plot figure using an IPython notebook (v3) and
> matplotlib (v1.4.3) inline magic. I was manually setting the axes bounds,
> and I ended up with something like the following:
>
> ########
> import matplotlib.pyplot as plt
> %matplotlib inline
>
> bottom = 0.12
> top = 0.9
> left = 0.12
> axwidth = (1-(left*2))/3
>
> fig = plt.figure(figsize=(10,4))
>
> ax1 = fig.add_axes((left, bottom, axwidth, top))
> ax1.set_title('Title')
> #ax1.tick_params(labelleft=False)
>
> ax2 = fig.add_axes((left+axwidth, bottom, axwidth, top),
>                    sharex=ax1, sharey=ax1)
> ax2.tick_params(labelleft=False)
>
> ax3 = fig.add_axes((left+axwidth*2, bottom, axwidth, top),
>                    sharex=ax1, sharey=ax1)
> ax3.tick_params(labelleft=False)
>
> fig.savefig('junk.pdf', format='pdf')
> fig.savefig('junk2.png')
> #######
>
> Obviously, the bottom+top that I've selected is >1, so the axes should go
> off the top of the figure. (Stupid, I know...) The axes in both the PDF and
> PNG formatted files are clipped by the top of the figure as you would
> expect; however, the figure that is displayed in the Notebook looks just
> fine. In addition, if you add a title to one of the axes, the figure in
> IPython suddenly creates more space for the text. Maybe it is rearranging
> the axes information behind the scenes?
>
> I'm curious why this design decision was made. I would say this is a bug.
> Now that I know about this behavior, I can easily fix it. But new users
> will be baffled when their saved figure looks nothing like the displayed
> figure in the notebook.
>
> Ryan
>
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>
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