pandas.to_timedelta(arg, unit='ns', box=True, errors='raise')
[source]
Convert argument to timedelta
Parameters: |
unit : unit of the arg (D,h,m,s,ms,us,ns) denote the unit, which is an integer/float number box : boolean, default True
errors : {‘ignore’, ‘raise’, ‘coerce’}, default ‘raise’
|
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Returns: |
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See also
pandas.DataFrame.astype
pandas.to_datetime
Parsing a single string to a Timedelta:
>>> pd.to_timedelta('1 days 06:05:01.00003') Timedelta('1 days 06:05:01.000030') >>> pd.to_timedelta('15.5us') Timedelta('0 days 00:00:00.000015')
Parsing a list or array of strings:
>>> pd.to_timedelta(['1 days 06:05:01.00003', '15.5us', 'nan']) TimedeltaIndex(['1 days 06:05:01.000030', '0 days 00:00:00.000015', NaT], dtype='timedelta64[ns]', freq=None)
Converting numbers by specifying the unit
keyword argument:
>>> pd.to_timedelta(np.arange(5), unit='s') TimedeltaIndex(['00:00:00', '00:00:01', '00:00:02', '00:00:03', '00:00:04'], dtype='timedelta64[ns]', freq=None) >>> pd.to_timedelta(np.arange(5), unit='d') TimedeltaIndex(['0 days', '1 days', '2 days', '3 days', '4 days'], dtype='timedelta64[ns]', freq=None)
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Licensed under the 3-clause BSD License.
http://pandas.pydata.org/pandas-docs/version/0.23.4/generated/pandas.to_timedelta.html