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:

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')