On Wed, Oct 28, 2009 at 9:55 AM, Michael Droettboom wrote:
> Does anyone with more experience with the scientific notation/offset
> code have any further comments?
While it is possible to turn off using the offset (or setting it
manually), the api is not very friendly.
fmt = gca().xaxis.get_majo
Hi Jim,
I attached an example that does the job circumventing Matplotlibs scientific
formatting instead of solving the problem with number of digits in scientific
formatting. It uses a FuncFormatter from matplotlib.ticker, which allows you
to define your own tick-formatting.
Kind regards
Matt
Jim Horning wrote:
> Greetings,
>
> I've been having difficulties with axis limit control. From a bigger
> application I've reduced an example down to the following short code
> segment. Note, the commented-out line, #x = numpy.linspace(98.42,
> 99.21, 100), line in which the example works OKA
Greetings,
I've been having difficulties with axis limit control. From a bigger
application I've reduced an example down to the following short code
segment. Note, the commented-out line, #x = numpy.linspace(98.42, 99.21,
100), line in which the example works OKAY.
What is annoying is that the
