For an interactive use, you may use callbacks to update the visibility
of ticks automatically.
Regards,
-JJ
import matplotlib.transforms as mtransforms
def update_yticks(ax):
axis = ax.yaxis
interval = axis.get_view_interval()
# get visible ticks
myticks = [t for t in axis.ite
Francesco Montesano, on 2011-02-04 17:01, wrote:
> Dear all again,
>
> I've tried to play with it again, but I couldn't find a
> solution for the problem. For clarity I report an example of
> what each of the subplots looks like:
Hi Francesco,
thanks for the clarification, here are two ways to
Dear all again,
I've tried to play with it again, but I couldn't find a solution for
the problem.
For clarity I report an example of what each of the subplots looks like:
> import numpy as np
> import matplotlib.pyplot as plt
> mean = np.array([-0.9206394, -0.90127456, -0.91983625, -0.97765539,
Dear all,
I'm producing a single figure with subplots arrange in a single columns.
They all share the same x range but the y variable change from subplot to
subplot
In order have a nicer figure I hide the first and the last y label of each
subplot in the following way
> ytl = subpl.get_ymajortic
