pandas.Index.astype#

Index.astype(dtype, copy=True)[source]#

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

Note that any signed integer dtype is treated as 'int64', and any unsigned integer dtype is treated as 'uint64', regardless of the size.

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')