Repository navigation
Shared lon/lat labels for rectangular map projections #79
Description
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.
Activity
lukelbd commentedon Dec 4, 2019
Shared labels are not currently supported for map projections but this is on my to-do list!
Just like Cartesian axes, I can implement
share=3as the default behavior for Plate Carrée, Mercator, and Miller rectangular projections. For other projections, since the edges are curved,share=0should probably be the default, but no reason not to allow it.One limitation of the "shared labels" feature is it currently only works for labels on the left and bottom. In the PR that addresses this issue, I'll also try to make them work for labels on the right and top. Will also see if I can implement sharing for groups of "twin" axes.
[-]Shared labels doesn't work with longitude and latitude[/-][+]Shared lon/lat labels for rectangular map projections[/+]