actually, that is technically incorrect. That only works for monotonically
increasing series, but not monotonically decreasing series.
diffs = np.diff(lon)
if np.all(diffs <= 0):
return True
if np.all(diffs >= 0):
return True
return False
provided that len(lon) >= 2, obviously (and it doe
On Thu, 2014-06-26 at 23:14 -0700, billyi wrote:
> Oh my, it WAS the meshgrid! Thank you so much!
> When reading the coordinates like:
> lat = FB.variables['lat'][:,:]
> lon = FB.variables['lon'][:,:]
>
> And plotting (without meshgrid!):
> m.pcolormesh(lon, lat, masked_fb, latlon=True)
>
> it w
On 06/27/2014 02:14 AM, billyi wrote:
> And I think the longitudes and latitudes are not monotonic, but I don't know
> the way to check this, other than checking the array like lon[:] in
> terminal. Is there a better way?
numpy slicing (subtract prior from next element check that 'all' the
result
Oh my, it WAS the meshgrid! Thank you so much!
When reading the coordinates like:
lat = FB.variables['lat'][:,:]
lon = FB.variables['lon'][:,:]
And plotting (without meshgrid!):
m.pcolormesh(lon, lat, masked_fb, latlon=True)
it works! Now I feel stupid.
And I think the longitudes and latitudes a
don't know if this would make a difference, but meshgrid here is completely
unnecessary given that the netcdf file has the lats and lons in 2
dimensions anyway.
Given that this is a polar projection, I wouldn't be surprised if there is
something wonky there. Are the longitudes and latitudes monoto
Hi all! I'm trying to plot some sea ice freeboard data (netCDF, Gridded total
freeboard) on the Antarctic sea, but the data that should plot nicely around
Antarctica lies at the bottom of my image. NetCDF and matplotlib are fairly
new to me so I'm not quite sure, where the error could be and I feel
