PEP8

seaborn/axisgrid.py

@@ -400,12 +400,10 @@ def __init__(self, data, row=None, col=None, hue=None, col_wrap=None,
 
         When using seaborn functions that infer semantic mappings from a
         dataset, care must be taken to synchronize those mappings across
-        facets. In other words some mechanism needs to ensure that the same
-        mapping is used in each facet. This can be achieved for example by 
-        passing pallete dictionnaries or by defining categorical types 
-        in your dataframe. In most cases, it will be better to use a figure-level
-        function (e.g. :func:`relplot` or :func:`catplot`) than to use
-        :class:`FacetGrid` directly.
+        facets (e.g., by defing the ``hue`` mapping with a palette dict or
+        setting the data type of the variables to ``category``). In most cases,
+        it will be better to use a figure-level function (e.g. :func:`relplot`
+        or :func:`catplot`) than to use :class:`FacetGrid` directly.
 
         The basic workflow is to initialize the :class:`FacetGrid` object with
         the dataset and the variables that are used to structure the grid. Then