Thank you for the note, but it is definitely many more extra cells than just
one around the border. Especially bounding area on the east side of the state
is affected the most.
Thanks,
Masha
On Nov 21, 2014, at 11:31 AM, Benjamin Root
mailto:ben.r...@ou.edu>> wrote:
How many cells past the
How many cells past the state boundary are you seeing? If it is never more
than one cell past the boundary, it might be an offset issue.
On Fri, Nov 21, 2014 at 1:30 PM, Maria Liukis wrote:
> Eric,
>
> Yes, my data is exactly how you understood it. I thought, as you are
> suggesting, to create a
Eric,
Yes, my data is exactly how you understood it. I thought, as you are
suggesting, to create a masked array for rectangle that bounds state of CA, to
be used with pcolormesh(). The only existing functionality that I could find is
griddata(), but it also interpolates data to extra cells outs
Thank you for the suggestion, unfortunately “nearest” method for interpolation
still does interpolation to some extra cells outside of my CA grid which fall
within the convex hull.
I thought I check if there is existing functionality for that within
matplotlib, but it seems that I have to manual
>
> On Fri, Nov 21, 2014 at 10:42 AM, Pedro Marcal
> wrote:
> @MariaLukis, I had to go through contortions to plot an arbitrary
> quadrilateral mesh, in 3D. I resolved it by storing every line plotted and
> retracing the best set to take me to the starting point of the quad I was
> plotting. It wo
@MariaLukis, I had to go through contortions to plot an arbitrary
quadrilateral mesh, in 3D. I resolved it by storing every line plotted and
retracing the best set to take me to the starting point of the quad I was
plotting. It would have been much easier if I had the function of lifting
my pen and
On 2014/11/20, 7:11 PM, Maria Liukis wrote:
> Hello,
>
> I have a problem plotting data which is defined on a grid other than
> rectangular mesh, and would greatly appreciate any advise. My data is
> defined for 0.1degree grid for the state of California, and I don’t
> want to interpolate my data o
As Thomas Caswell said, check out the "tri..." functions. No need for
interpolation. This question recently reappeared on Stackoverflow and was
answered there as well:
https://stackoverflow.com/questions/27004422/contour-imshow-plot-for-irregular-x-y-z-data
2014-11-21 9:15 GMT+01:00 Shahar Shani K
When using scipy.interpolate.griddada, you could use 'nearest' if your data is
sufficiently dense. This will 'map' your grid onto whatever rectangular grid
leaving grid points outside the convex hull of the original grid empty. Well,
not empty but nan. If you do wish to interpolate your dada, yo
