Hey Olga,
On Tue, Feb 17, 2015 at 6:24 PM, Olga Botvinnik wrote:
> Out of curiosity, what are the advantages of the HCL colormap over YlGnBu
> for continuous values? I'm biased towards YlGnBu because green is my
> favorite color and want to know what makes HCL objectively better for
> perceiving
Out of curiosity, what are the advantages of the HCL colormap over YlGnBu
for continuous values? I'm biased towards YlGnBu because green is my
favorite color and want to know what makes HCL objectively better for
perceiving values.
I added YlGnBu_r versions of those plots just below yours:
http://
I plotted a large number of bars on a bargraph. I am not surprised memory
usage
and time to draw are bad on the initial view. But I'd expect as I zoom in more
and more, the time to draw should improve - there's less to draw.
This does not appear to be the case.
--
-- Those who don't underst
Thanks again Thomas for the release !
Cheers,
N
On 17 February 2015 at 06:09, Thomas Caswell wrote:
> Hello all,
>
> We are pleased to announce the release of matplotlib v1.4.3!
>
> Wheels, windows binaries and the source tarball are available through both
> source-forge [1] and pypi (via pip).
I wasn't referring to just the default colors, but the default style in
general. Things like background, line thickness, padding, ticks, etc. I
thought that there was agreement that the default matplotlib style is not
optimal, and that the point of the 2.0 release was to put all the
stylistic chan
