pandas.errors.IndexingError#

exception pandas.errors.IndexingError[source]#

Exception is raised when trying to index and there is a mismatch in dimensions.

Raised by properties like pandas.DataFrame.iloc when an indexer is out of bounds or pandas.DataFrame.loc when its index is unalignable to the frame index.

See also

DataFrame.iloc: Purely integer-location based indexing for selection by position.
DataFrame.loc: Access a group of rows and columns by label(s) or a boolean array.

Examples

>>> df = pd.DataFrame({"A": [1, 1, 1]})
>>> df.loc[..., ..., "A"]  
... # IndexingError: indexer may only contain one '...' entry
>>> df = pd.DataFrame({"A": [1, 1, 1]})
>>> df.loc[1, ..., ...]  
... # IndexingError: Too many indexers
>>> df[pd.Series([True], dtype=bool)]  
... # IndexingError: Unalignable boolean Series provided as indexer...
>>> s = pd.Series(range(2), index=pd.MultiIndex.from_product([["a", "b"], ["c"]]))
>>> s.loc["a", "c", "d"]  
... # IndexingError: Too many indexers