@@ -14068,13 +14068,13 @@ def isin(
1406814068 - If `values` is a dict, the keys must be column names,
1406914069 which must match.
1407014070 - If `values` is a DataFrame:
14071- * When ``ignore_index=False`` (default), both the index
14072- and column labels must match, and comparison is done
14073- elementwise.
14074- * When ``ignore_index=True``, only column labels must
14075- match. Each element in the DataFrame is compared
14076- against the set of values in the corresponding column
14077- of ``values``, ignoring row index alignment.
14071+ * When ``ignore_index=False`` (default), both the index
14072+ and column labels must match, and comparison is done
14073+ elementwise.
14074+ * When ``ignore_index=True``, only column labels must
14075+ match. Each element in the DataFrame is compared
14076+ against the set of values in the corresponding column
14077+ of ``values``, ignoring row index alignment.
1407814078
1407914079 ignore_index : bool, default False
1408014080 *Only valid when `values` is a DataFrame.*
@@ -14097,8 +14097,8 @@ def isin(
1409714097
1409814098 Notes
1409914099 -----
14100- ``__iter__`` is used (and not ``__contains__``) to iterate over values
14101- when checking if it contains the elements in DataFrame.
14100+ ``__iter__`` is used (and not ``__contains__``) to iterate over values
14101+ when checking if it contains the elements in DataFrame.
1410214102
1410314103 Examples
1410414104 --------
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