I was trying to use shared labels, but I didn't succeed to make it work for longitude and latitude. At least if we write it as for other regular 2D data with x, y, as in the documentation example: https://proplot.readthedocs.io/en/latest/customizing.html#Shared-and-spanning-labels.
Here is an example (data: season_clim_diff.zip):
import xarray as xr
import proplot as plot
season_clim_diff = xr.open_dataarray('season_clim_diff.nc')
f, axs = plot.subplots(
proj='cyl', proj_kw={'lon_0':180}, ncols=2, nrows=2, axwidth=3, share=3
)
seasons = ['DJF', 'MAM', 'JJA', 'SON']
for i, ax in enumerate(axs):
m = ax.contourf(
season_clim_diff.sel(season=seasons[i]), cmap='ColdHot', norm='midpoint'
)
ax.format(title=season_clim_diff.sel(season=seasons[i]).season.values)
f.colorbar(m, label="Snow Area Fraction [%]")
axs.format(
geogridlinewidth=0.5, geogridcolor='gray8', geogridalpha=0.5,
labels=True, lonlines=60, latlines=30,
coast=True, ocean=True, oceancolor='gray4',
suptitle="Annual snow cover bias (IPSL versus Rutgers)",
abc=True, abcstyle='a.'
)
Thus, with the share=3 option I would expect that the longitudes labels of the first line and the latitudes labels of the last column won't appear.
I was trying to use shared labels, but I didn't succeed to make it work for longitude and latitude. At least if we write it as for other regular 2D data with x, y, as in the documentation example: https://proplot.readthedocs.io/en/latest/customizing.html#Shared-and-spanning-labels.
Here is an example (data: season_clim_diff.zip):
Thus, with the share=3 option I would expect that the longitudes labels of the first line and the latitudes labels of the last column won't appear.