[MNT] Fix and update

Author: liuzhenqi77

netneurotools/plotting.py

@@ -420,25 +420,27 @@ def plot_fsaverage(data, *, lhannot, rhannot, order='lr', mask=None,
     Examples
     --------
     >>> import numpy as np
-    >>> from netneurotools.datasets import fetch_cammoun2012, fetch_schaefer2018
+    >>> from netneurotools.datasets import fetch_cammoun2012, \
+                                           fetch_schaefer2018
     >>> from netneurotools.plotting import plot_fsaverage
 
-    Plotting with the Cammoun 2012 parcellation we specify `order='RL'` because 
-    many of the Lausanne connectomes have data for the right hemisphere before the 
-    left hemisphere.
+    Plotting with the Cammoun 2012 parcellation we specify `order='RL'` because
+    many of the Lausanne connectomes have data for the right hemisphere before
+    the left hemisphere.
 
     >>> values = np.random.rand(219)
     >>> cammoun = fetch_cammoun2012('fsaverage')['scale125']
-    >>> plot_fsaverage(values, order='RL', 
-    ...                lhannot=cammoun.lh, rhannot=cammoun.rh)   # DOCTEST: +SKIP
+    >>> plot_fsaverage(values, order='RL',
+    ...                lhannot=cammoun.lh, rhannot=cammoun.rh) # DOCTEST: +SKIP
 
-    Plotting with the Schaefer 2018 parcellation we can use the default parameter
-    for `order`:
+    Plotting with the Schaefer 2018 parcellation we can use the default
+    parameter for `order`:
 
     >>> values = np.random.rand(400)
     >>> schaefer = fetch_schaefer2018('fsaverage')['400Parcels7Networks']
-    >>> plot_fsaverage(values, 
-    ...                lhannot=schaefer.lh, rhannot=schaefer.rh)  # DOCTEST: +SKIP
+    >>> plot_fsaverage(values,
+    ...                lhannot=schaefer.lh,
+    ...                rhannot=schaefer.rh) # DOCTEST: +SKIP
 
     """