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
