cudf.Index.astype#

Index.astype(dtype, copy: bool = 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 ValueError exception is raised.

Parameters:

dtypenumpy.dtype: Use a numpy.dtype to cast entire Index object to.
copybool, default False: 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

>>> import cudf
>>> index = cudf.Index([1, 2, 3])
>>> index
Index([1, 2, 3], dtype='int64')
>>> index.astype('float64')
Index([1.0, 2.0, 3.0], dtype='float64')