DatetimeIndex.astype()

DatetimeIndex.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 ValueError exception is raised.

Parameters:

Parameters:	dtype : numpy dtype or pandas type copy : bool, 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. New in version 0.19.0.

dtype : numpy dtype or pandas type

copy : bool, 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.

New in version 0.19.0.

Links:

http://pandas.pydata.org/pandas-docs/version/0.19.2/generated/pandas.DatetimeIndex.astype.html

doc_Pandas

2017-01-12 04:47:09

Comments

Popular Articles

Series.astype() Series.astype(dtype, copy=True, raise_on_error=True, **kwargs) [source] Cast object to input numpy.dtype Return a copy when copy = True (be reall

recarray.astype() recarray.astype(dtype, order='K', casting='unsafe', subok=True, copy=True) Copy of the array, cast to a specified type. Parameters: dtype : str

CategoricalIndex.astype() CategoricalIndex.astype(dtype, copy=True) [source] Create an Index with values cast to dtypes. The class of a new Index is determined by dtype. W

MaskedArray.astype() MaskedArray.astype(newtype) [source] Returns a copy of the MaskedArray cast to given newtype. Returns: output : MaskedArray A copy of self cast

generic.astype() generic.astype() Not implemented (virtual attribute) Class generic exists solely to derive numpy scalars from, and possesses, albeit unimplemente