CODEWITHSUNDEEP
pythonmatplotlibaxis-labelscartopy
mathause
mathause

Reputation: 1683

cartopy set_xlabel set_ylabel (not ticklabels)

When using a cartopy map I cannot add an xlabel or ylabel. Is there a way to do this? I am not looking for ticklabels.

import matplotlib.pyplot as plt
import cartopy
ax = plt.axes(projection=cartopy.crs.PlateCarree())
ax.add_feature(cartopy.feature.COASTLINE)
ax.set_xlabel('lon')
ax.set_ylabel('lat')
plt.show()

Upvotes: 11

Views: 9015

Answers (2)

susopeiz
susopeiz

Reputation: 773

By chance I found that running...

import matplotlib.pyplot as plt
import cartopy
ax = plt.axes(projection=cartopy.crs.PlateCarree())
ax.add_feature(cartopy.feature.COASTLINE)
ax.set_xlabel('lon')
ax.set_ylabel('lat')

ax.set_xticks([-180,-120,-60,0,60,120,180])
ax.set_yticks([-90,-60,-30,0,30,60,90])

plt.show()

...it prints the xticks and yticks but also the xlabel and ylabel. In other cases where the xticks and yticks are already defined, they would be restored doing...

ax.set_xticks(ax.get_xticks())
ax.set_yticks(ax.get_yticks())

or in case they are automatically generated out of the map limits

ax.set_xticks(ax.get_xticks()[abs(ax.get_xticks())<=180])
ax.set_yticks(ax.get_yticks()[abs(ax.get_yticks())<=90])

enter image description here

For adding the grid...

plt.grid()

enter image description here

Upvotes: 11

marqh
marqh

Reputation: 276

Cartopy's matplotlib gridliner takes over the xlabel and ylabel and uses it to manage grid lines and labels. https://github.com/SciTools/cartopy/blob/master/lib/cartopy/mpl/gridliner.py#L93

import matplotlib.pyplot as plt
import cartopy
ax = plt.axes(projection=cartopy.crs.PlateCarree())
ax.add_feature(cartopy.feature.COASTLINE)
gridlines = ax.gridlines(draw_labels=True)
# this would not function, due to the gridliner
# ax.set_xlabel('lon')
# ax.set_ylabel('lat')
plt.show()

If you want to add labels to the axis instances of a cartopy axes, you ought to place them so they don't overlap with the gridliner. At present you need to do this by hand, such as:

import matplotlib.pyplot as plt
import cartopy
ax = plt.axes(projection=cartopy.crs.PlateCarree())
ax.add_feature(cartopy.feature.COASTLINE)
gridlines = ax.gridlines(draw_labels=True)
ax.text(-0.07, 0.55, 'latitude', va='bottom', ha='center',
        rotation='vertical', rotation_mode='anchor',
        transform=ax.transAxes)
ax.text(0.5, -0.2, 'longitude', va='bottom', ha='center',
        rotation='horizontal', rotation_mode='anchor',
        transform=ax.transAxes)
plt.show()

you need to tune the values for the ax.text placement to get the effect you want in each case, which can be a bit frustrating, but it is functional.

It would be a nice feature to add to cartopy to automate this placement.

labelled gridliner

Upvotes: 21

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