dask.dataframe.Series.to_timestamp
dask.dataframe.Series.to_timestamp¶
- Series.to_timestamp(freq=None, how='start', axis=0)[source]¶
Cast to DatetimeIndex of Timestamps, at beginning of period.
This docstring was copied from pandas.core.series.Series.to_timestamp.
Some inconsistencies with the Dask version may exist.
- Parameters
- freqstr, default frequency of PeriodIndex
Desired frequency.
- how{‘s’, ‘e’, ‘start’, ‘end’}
Convention for converting period to timestamp; start of period vs. end.
- copybool, default True (Not supported in Dask)
Whether or not to return a copy.
- Returns
- Series with DatetimeIndex
Examples
>>> idx = pd.PeriodIndex(['2023', '2024', '2025'], freq='Y') >>> s1 = pd.Series([1, 2, 3], index=idx) >>> s1 2023 1 2024 2 2025 3 Freq: A-DEC, dtype: int64
The resulting frequency of the Timestamps is YearBegin
>>> s1 = s1.to_timestamp() >>> s1 2023-01-01 1 2024-01-01 2 2025-01-01 3 Freq: AS-JAN, dtype: int64
Using freq which is the offset that the Timestamps will have
>>> s2 = pd.Series([1, 2, 3], index=idx) >>> s2 = s2.to_timestamp(freq='M') >>> s2 2023-01-31 1 2024-01-31 2 2025-01-31 3 Freq: A-JAN, dtype: int64