Hi all
I am a fairly recent convert to python and I have got a question that's
got me stumped. I hope this is the right mailing list: here goes :)
I am reading some time series data out of a netcdf file a single
timestep at a time. If the data is NaN, I want to reset it to the
minimum of
On 1/27/12 5:21 PM, Eric Firing wrote:
On 01/27/2012 11:18 AM, Howard wrote:
Hi all
I am a fairly recent convert to python and I have got a question that's
got me stumped. I hope this is the right mailing list: here goes :)
I am reading some time series data out of a netcdf file a single
On Fri, Jan 27, 2012 at 4:37 PM, Howard how...@renci.org wrote:
I have found, in using tricontourf, that in the mapping from data values
to color values, the range of the data seems to include even the data from
the masked triangles. This causes the data to be either monochromatic or
Eric's probably right and it's indexing with a masked array that's causing
you trouble.
Since you seem to say your NaN values correspond to your mask, you should
be able to simply do:
modelData[modeData.mask] = dataMin
Note that in further processing it may then make more sense to remove the
