pandas.Index.astype

Index.astype(dtype, copy=True)

Create an Index with values cast to dtypes.

The class of a new Index is determined by dtype. When conversion is impossible, a TypeError exception is raised.

Parameters:

dtypenumpy dtype or pandas type

Dtype for the result Index.

copybool, default True

By default, astype always returns a newly allocated object. If copy is set to False and internal requirements on dtype are satisfied, the original data is used to create a new Index or the original Index is returned.

Returns:

Index

Index with values cast to specified dtype.

See also

Index.dtype

Return the dtype object of the underlying data.

Index.dtypes

Return the dtype object of the underlying data.

Index.convert_dtypes

Convert columns to the best possible dtypes.

Examples

>>> idx = pd.Index([1, 2, 3])
>>> idx
Index([1, 2, 3], dtype='int64')
>>> idx.astype("float")
Index([1.0, 2.0, 3.0], dtype='float64')