pandas.errors.IndexingError

exception pandas.errors.IndexingError

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