Comments (3)
@sfc-gh-mvashishtha are you sure?
>>> import pandas as pd
>>> pd.Series.dt.to_timestamp
<function PandasDelegate._add_delegate_accessors.<locals>._create_delegator_method.<locals>.f at 0x00000242B5964430>
>>> pd.__version__
'2.2.2'
>>>
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This might be a docs issue, I don't see it in the sidebar of official pandas docs (https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.dt.time.html is valid, but https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.dt.to_timestamp.html is not).
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Series.dt.to_timestamp() is a valid method for PeriodProperties, but not for DatetimeProperties, TimedeltaProperties. For example, following is valid:
>>> seconds_series = pd.Series(pd.period_range(start="2000-01-01 00:00:00", end="2000-01-01 00:00:03", freq="s"))
>>> seconds_series
0 2000-01-01 00:00:00
1 2000-01-01 00:00:01
2 2000-01-01 00:00:02
3 2000-01-01 00:00:03
dtype: period[s]
>>> seconds_series.dt.to_timestamp()
0 2000-01-01 00:00:00
1 2000-01-01 00:00:01
2 2000-01-01 00:00:02
3 2000-01-01 00:00:03
dtype: datetime64[ns]
However, it is invalid for timedelta:
>>> seconds_series = pd.Series(pd.timedelta_range(start="1 second", periods=3, freq="s"))
>>> seconds_series.dt.to_timestamp()
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
AttributeError: 'TimedeltaProperties' object has no attribute 'to_timestamp'
>>> seconds_series
0 0 days 00:00:01
1 0 days 00:00:02
2 0 days 00:00:03
dtype: timedelta64[ns]
This might be a problem for both doc and implementation.
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