Hi matplotlib users,
I believe the normalization behaviour is wrong for contourf at least when
using a BoundaryNorm. In the script below I am using the same norm to plot
the same data using contourf and pcolormesh. The color should change around
an x value of 0.15 but it is shifted somewhat for
On 28 March 2014 12:56, Jesper Larsen jesper.webm...@gmail.com wrote:
I believe the normalization behaviour is wrong for contourf at least when
using a BoundaryNorm. In the script below I am using the same norm to plot
the same data using contourf and pcolormesh. The color should change around
Hi,
I just ran across this new Qt add-on for data visualization :
blog.qt.digia.com/blog/2014/03/26/qt-data-visualization-1-0-released/
It's a bit off-topic because I think there is not (yet?) a Python
binding, but there is a demo video which is worth taking a look at.
The video doesn't mention
You forgot to add the line that causes the problems.
You might want to give a minimum self contained working example.
-Sterling
On Mar 28, 2014, at 12:20PM, Jorge Ferrando wrote:
Hello
I'm workign on a project where we are using ctypes and I wanted to plot some
data with matplotlib.
Hi Ian
Thanks for your reply and help. I see your point. I guess it is only the
BoundaryNorm where it would make sense to have contourf use the boundary
levels from the norm. In my real problem described by the above example I
have long forgotten the levs variable when I arrive at the contourf
