Dear all,
thanks for your help. this is what I was looking for!
Dirk
2007/9/26, Eric Firing [EMAIL PROTECTED]:
David Huard wrote:
Hi Dirk,
If you haven't already done so, look at the numpy.ma http://numpy.ma/
module. It provides a masked array object that deals gracefully with
Dear matplotlib group,
for the represenation of 2d measurement data I use the contourplot function
from matplotlib. Some points in this map are not measurabel, therefore I get
a non numerical value (nan) output.
From this data I want to generate a map and a histogram plot. This works
fine, as
Dirk Zickermann wrote:
Dear matplotlib group,
for the represenation of 2d measurement data I use the contourplot
function from matplotlib. Some points in this map are not measurabel,
therefore I get a non numerical value (nan) output.
From this data I want to generate a map and a
Hi Dirk,
If you haven't already done so, look at the numpy.ma module. It provides a
masked array object that deals gracefully with missing values. To the best
of my knowledge, most matplotlib functions understand masked arrays and deal
with it accordingly, exception made of those requiring a full
David Huard wrote:
Hi Dirk,
If you haven't already done so, look at the numpy.ma http://numpy.ma/
module. It provides a masked array object that deals gracefully with
missing values. To the best of my knowledge, most matplotlib functions
understand masked arrays and deal with it
