@@ -13937,13 +13937,13 @@ def isin(
1393713937 - If `values` is a dict, the keys must be column names,
1393813938 which must match.
1393913939 - If `values` is a DataFrame:
13940- * When ``ignore_index=False`` (default), both the index
13941- and column labels must match, and comparison is done
13942- elementwise.
13943- * When ``ignore_index=True``, only column labels must
13944- match. Each element in the DataFrame is compared
13945- against the set of values in the corresponding column
13946- of ``values``, ignoring row index alignment.
13940+ * When ``ignore_index=False`` (default), both the index
13941+ and column labels must match, and comparison is done
13942+ elementwise.
13943+ * When ``ignore_index=True``, only column labels must
13944+ match. Each element in the DataFrame is compared
13945+ against the set of values in the corresponding column
13946+ of ``values``, ignoring row index alignment.
1394713947
1394813948 ignore_index : bool, default False
1394913949 *Only valid when `values` is a DataFrame.*
@@ -13966,8 +13966,8 @@ def isin(
1396613966
1396713967 Notes
1396813968 -----
13969- ``__iter__`` is used (and not ``__contains__``) to iterate over values
13970- when checking if it contains the elements in DataFrame.
13969+ ``__iter__`` is used (and not ``__contains__``) to iterate over values
13970+ when checking if it contains the elements in DataFrame.
1397113971
1397213972 Examples
1397313973 --------
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