...
Note that the triangulation method can produce weird results (holes in the plot area) when the data spans a plot boundary. For example, as shown above, we need to “fix” the longitude coordinates to go from -180 to 180, or we get a big hole in the plot. This also happens with polar plots, whether we fix the longitudes first or not. A quick example to demonstrate:
| Code Block |
|---|
vname = 'PS'
data = ds[vname]
lon = ds['lon']
lat = ds['lat']
# Plot using triangulation in lat/lon coordinates
data_proj = crs.PlateCarree() # data is always assumed to be in lat/lon
projections = (crs.PlateCarree(), crs.Orthographic(central_latitude=60))
for plot_proj in projections:
figure = pyplot.figure()
ax = figure.add_subplot(111, projection=plot_proj)
ax.coastlines(linewidth=0.2)
ax.set_global()
# Note, we need fix_lon here using this method
pl = ax.tripcolor(lon, lat, data, transform=data_proj) |
...