Remove central_longitude for Robinson projection plots

ESMValGroup · Oct 22, 2024 · a608767 · a608767
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commit a608767
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Showing 2 changed files with 5 additions and 12 deletions.
diff --git a/esmvaltool/diag_scripts/monitor/multi_datasets.py b/esmvaltool/diag_scripts/monitor/multi_datasets.py
@@ -241,9 +241,7 @@
     :mod:`cartopy.crs`. Keyword arguments can be specified using the option
     ``projection_kwargs``.
 projection_kwargs: dict, optional
-    Optional keyword arguments for the projection given by ``projection``. For
-    the default projection ``Robinson``, the default keyword arguments
-    ``central_longitude: 10`` are used.
+    Optional keyword arguments for the projection given by ``projection``.
 pyplot_kwargs: dict, optional
     Optional calls to functions of :mod:`matplotlib.pyplot`. Dictionary keys
     are functions of :mod:`matplotlib.pyplot`. Dictionary values are used as
@@ -739,13 +737,8 @@ def __init__(self, config):
                 self.plots[plot_type]['plot_kwargs_bias'].setdefault(
                     'norm', 'centered'
                 )
-                if 'projection' not in self.plots[plot_type]:
-                    self.plots[plot_type].setdefault('projection', 'Robinson')
-                    self.plots[plot_type].setdefault(
-                        'projection_kwargs', {'central_longitude': 10}
-                    )
-                else:
-                    self.plots[plot_type].setdefault('projection_kwargs', {})
+                self.plots[plot_type].setdefault('projection', 'Robinson')
+                self.plots[plot_type].setdefault('projection_kwargs', {})
                 self.plots[plot_type].setdefault('pyplot_kwargs', {})
                 self.plots[plot_type].setdefault('rasterize', True)
                 self.plots[plot_type].setdefault('show_stats', True)

diff --git a/esmvaltool/diag_scripts/shared/plot/_plot.py b/esmvaltool/diag_scripts/shared/plot/_plot.py
@@ -228,7 +228,7 @@ def global_contourf(cube,
     if cbar_range is not None:
         levels = np.linspace(*cbar_range)
         kwargs['levels'] = levels
-    axes = plt.axes(projection=ccrs.Robinson(central_longitude=10))
+    axes = plt.axes(projection=ccrs.Robinson())
     plt.sca(axes)
     map_plot = iris.plot.contourf(cube, **kwargs)
 
@@ -309,7 +309,7 @@ def global_pcolormesh(cube,
         kwargs['cmap'] = cmap
 
     # Create plot
-    axes = plt.axes(projection=ccrs.Robinson(central_longitude=10))
+    axes = plt.axes(projection=ccrs.Robinson())
     plt.sca(axes)
     map_plot = iris.plot.pcolormesh(cube, **kwargs)