# dask.dataframe.Series.dt.date

#### dataframe.Series.dt.date

Returns numpy array of python [`datetime.date`](https://docs.python.org/3/library/datetime.html#datetime.date) objects.

This docstring was copied from pandas.core.indexes.accessors.CombinedDatetimelikeProperties.date.

Some inconsistencies with the Dask version may exist.

Namely, the date part of Timestamps without time and
timezone information.

#### SEE ALSO
`DatetimeIndex.time`
: Returns numpy array of [`datetime.time`](https://docs.python.org/3/library/datetime.html#datetime.time) objects. The time part of the Timestamps.

`DatetimeIndex.year`
: The year of the datetime.

`DatetimeIndex.month`
: The month as January=1, December=12.

`DatetimeIndex.day`
: The day of the datetime.

### Examples

For Series:

```pycon
>>> s = pd.Series(["1/1/2020 10:00:00+00:00", "2/1/2020 11:00:00+00:00"])
>>> s = pd.to_datetime(s)
>>> s
0   2020-01-01 10:00:00+00:00
1   2020-02-01 11:00:00+00:00
dtype: datetime64[us, UTC]
>>> s.dt.date
0    2020-01-01
1    2020-02-01
dtype: object
```

For DatetimeIndex:

```pycon
>>> idx = pd.DatetimeIndex(
...     ["1/1/2020 10:00:00+00:00", "2/1/2020 11:00:00+00:00"]
... )
>>> idx.date
array([datetime.date(2020, 1, 1), datetime.date(2020, 2, 1)], dtype=object)
```

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