insert(self, loc: 'int', column: 'Hashable', value: 'Scalar | AnyArrayLike', allow_duplicates: 'bool' = False) -> 'None'
Raises a ValueError if :None:None:`column` is already contained in the DataFrame, unless :None:None:`allow_duplicates` is set to True.
Insertion index. Must verify 0 <= loc <= len(columns).
Label of the inserted column.
Insert column into DataFrame at specified location.
Index.insert
Insert new item by index.
>>> df = pd.DataFrame({'col1': [1, 2], 'col2': [3, 4]})This example is valid syntax, but we were not able to check execution
... df col1 col2 0 1 3 1 2 4
>>> df.insert(1, "newcol", [99, 99])This example is valid syntax, but we were not able to check execution
... df col1 newcol col2 0 1 99 3 1 2 99 4
>>> df.insert(0, "col1", [100, 100], allow_duplicates=True)
... df col1 col1 newcol col2 0 100 1 99 3 1 100 2 99 4
Notice that pandas uses index alignment in case of :None:None:`value` from type Series
:
>>> df.insert(0, "col0", pd.Series([5, 6], index=[1, 2]))See :
... df col0 col1 col1 newcol col2 0 NaN 100 1 99 3 1 5.0 100 2 99 4
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