pandas.arrays.DatetimeArray#

classpandas.arrays.DatetimeArray(data, dtype=None, freq=None, copy=False)[source] #

Pandas ExtensionArray for tz-naive or tz-aware datetime data.

Warning

DatetimeArray is currently experimental, and its API may change without warning. In particular, DatetimeArray.dtype is expected to change to always be an instance of an ExtensionDtype subclass.

Parameters:
dataSeries, Index, DatetimeArray, ndarray

The datetime data.

For DatetimeArray values (or a Series or Index boxing one), dtype and freq will be extracted from values.

dtypenumpy.dtype or DatetimeTZDtype

Note that the only NumPy dtype allowed is ‘datetime64[ns]’.

freqstr or Offset, optional

The frequency.

copybool, default False

Whether to copy the underlying array of values.

Attributes

None

Methods

None

See also

DatetimeIndex

Immutable Index for datetime-like data.

Series

One-dimensional labeled array capable of holding datetime-like data.

Timestamp

Pandas replacement for python datetime.datetime object.

to_datetime

Convert argument to datetime.

period_range

Return a fixed frequency PeriodIndex.

Examples

>>> pd.arrays.DatetimeArray._from_sequence(
...  pd.DatetimeIndex(["2023年01月01日", "2023年01月02日"], freq="D")
... )
<DatetimeArray>
['2023年01月01日 00:00:00', '2023年01月02日 00:00:00']
Length: 2, dtype: datetime64[s]
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