On Fri, Jan 29, 2016 at 8:25 AM, Andreas Mueller wrote:
> Thanks for your input Fernando.
> I thought about cross-posting to Jupyter, but I'm glad you also saw it
> here :)
> That would help, but not solve all problems.
> I guess the Figure could hold a tag for referencing, too. It would be nice
Factor it out and give it to numpy!
On Fri, Jan 29, 2016, 17:27 Benjamin Root wrote:
> Hmm, you are right, there is no way to get back the information that
> hexbin computed. The hexbin function is massive (in
> lib/matplotlib/axes/_axes.py) and is a bit tangled up with the
> artist-handling cod
Hmm, you are right, there is no way to get back the information that hexbin
computed. The hexbin function is massive (in lib/matplotlib/axes/_axes.py)
and is a bit tangled up with the artist-handling code, too. I think it
would make sense to factor out the hexbinning component into its own
hexbin.p
Is there a simple way to hexbin using "pyplot.hexbin" and to return the ids
of the set of
points in each hexbin? That is to output an array of n elements
(one for each hexbin), and each element itself an array with the point ids?
The sum
of the number of inner elements would be equal the sum of all
On 28 January 2016 at 19:49, Julian Irwin wrote:
>
>
> I am looking for a way to hide tick marks (not the labels!) that coincide
> with axis lines. I think this is a problem for me because of the relative
> line thicknesses of my axis lines and tick marks, but I want to leave those
> thicknesse
Thanks for your input Fernando.
I thought about cross-posting to Jupyter, but I'm glad you also saw it
here :)
That would help, but not solve all problems.
I guess the Figure could hold a tag for referencing, too. It would be
nice to get a tag and caption from matplotlib.
Maybe Benjamin's reply
