On 2 November 2014 16:30, Benjamin Root ben.r...@ou.edu wrote:
Would it make sense to at least emit a warning when a mask is encountered.
There are very few places in matplotlib where masked arrays are not allowed
(I think histograms is the other spot, but I can't remember for sure).
Ben,
On 1 November 2014 18:20, Hartmut Kaiser hartmut.kai...@gmail.com wrote:
Thanks Ian! Your detailed answer is much appreciated.
As you might have already guessed, we have quite some problems creating
clean geometries from the generated contour data. I have tried to put
together one
Would it make sense to at least emit a warning when a mask is encountered.
There are very few places in matplotlib where masked arrays are not allowed
(I think histograms is the other spot, but I can't remember for sure).
On Sun, Nov 2, 2014 at 11:10 AM, Ian Thomas ianthoma...@gmail.com wrote:
Ian,
You are using masked arrays where you shouldn't, again. The documentation
for tricontour states that it expects z to be an array, it doesn't say
masked array. If you pass it a masked array, it will ignore the
mask. Hence you have a number of triangles that include a vertex with a
On 26 October 2014 00:18, Hartmut Kaiser hartmut.kai...@gmail.com wrote:
At this point we assume, that polys[0] is a linear ring to be interpreted
as
a polygon exterior and polys[1:] are the corresponding interiors for
polys[0].
Here are our questions:
Is this assumption correct?
Is
On 26 October 2014 00:18, Hartmut Kaiser hartmut.kai...@gmail.com wrote:
At this point we assume, that polys[0] is a linear ring to be interpreted
as
a polygon exterior and polys[1:] are the corresponding interiors for
polys[0].
Here are our questions:
Is this assumption correct?
Is
All,
We try to generate contour polygons from an unstructured triangular grid
stored in a netcdf file:
import netCDF4
import matplotlib.tri as tri
# read data
var = netCDF4.Dataset('filename.cdf').variables
x = var['x'][:]
y = var['y'][:]
elems = var['element'][:,:]-1
data =
