On Wed, Jan 19, 2011 at 9:16 AM, Nicholas Devenish <
misnomer+matplot...@gmail.com <misnomer%2bmatplot...@gmail.com>> wrote:
> Hi,
>
> I have a few questions on formatting axis labels, when using the
> ScalarFormatter class (which appears to be the basic standard).
>
> Firstly, is there a general method to change the font size of all
> labels on the axis, other than looping over them such as in:
> >>> [x.set_fontsize(10) for x in plt.gca().xaxis.get_ticklabels()]
>
If you have version 1.0.0 or later, you can use tick_params():
http://matplotlib.sourceforge.net/api/pyplot_api.html#matplotlib.pyplot.tick_params
http://matplotlib.sourceforge.net/api/axes_api.html#matplotlib.axes.Axes.tick_params
>
> Secondly, when displaying the power limits with very large numbers on
> the axis, how do you change the font size of the displayed power
> limit? it does not seem to be tied into the axis ticklabels lists, and
> I do not know how to access it.
>
>
Most likely, you are talking about the "offset text", which you can get
access to its Text object using:
ax.xaxis.get_offset_text() or ax.yaxis.get_offset_text()
> Lastly, some questions on the defaults: The documentation mentions
> that the default power limits were changed from (-3, 4) to (-7, 7).
> I'm curious as to the reasoning for this, because 10^7 seems an
> excessively large number of digits and altogether a much worse
> default. In addition, the fact that using math text for the exponent
> is turned off by default (displaying 1e3 instead of the much more
> appropriate $10^3$) is also puzzling. In relation to this exponential
> display, is there a better way to turn it on, on an existing plot,
> other than the (seemingly undocumented):
> >>> plt.gca().yaxis.get_major_formatter()._useMathText=True
>
>
I can't comment on the change of the default range of values (that happened
before I joined). However, there are two ways to get the nice MathText
formatting of tick labels. One, you can change the axis scale to log:
ax.set_xscale('log') or ax.set_yscale('log')
Or (if you don't want log scale), you can explicitly pass in a
ScalarFormatter object with MathText turned on:
http://matplotlib.sourceforge.net/api/ticker_api.html#matplotlib.ticker.ScalarFormatter
niceMathTextForm = ScalarFormatter(useMathText=True)
ax.xaxis.set_major_formatter( niceMathTextForm )
I hope that helps!
Ben Root
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