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.
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')