3 Ud@srdZddlZddlmZddlmZmZddlm Z ddl m Z m Z ddl mZdd d Zdd d ZdddZdS)z timedelta support tools N)NaT) Timedeltaparse_timedelta_unit) is_list_like) ABCIndexClass ABCSeries)sequence_to_td64nsraisecCs|dk rt|}|dkr td|dkr0td |dkr<|St|trjt|j||d }|j||j|jd St|t rt||||jd St|t j r|j d kr|j }n>t|rt|dddkrt|||d St|dddkrtdt|tr|dk rtdt|||d S)a Convert argument to timedelta. Timedeltas are absolute differences in times, expressed in difference units (e.g. days, hours, minutes, seconds). This method converts an argument from a recognized timedelta format / value into a Timedelta type. Parameters ---------- arg : str, timedelta, list-like or Series The data to be converted to timedelta. unit : str, optional Denotes the unit of the arg for numeric `arg`. Defaults to ``"ns"``. Possible values: * 'W' * 'D' / 'days' / 'day' * 'hours' / 'hour' / 'hr' / 'h' * 'm' / 'minute' / 'min' / 'minutes' / 'T' * 'S' / 'seconds' / 'sec' / 'second' * 'ms' / 'milliseconds' / 'millisecond' / 'milli' / 'millis' / 'L' * 'us' / 'microseconds' / 'microsecond' / 'micro' / 'micros' / 'U' * 'ns' / 'nanoseconds' / 'nano' / 'nanos' / 'nanosecond' / 'N' .. versionchanged:: 1.1.0 Must not be specified when `arg` context strings and ``errors="raise"``. errors : {'ignore', 'raise', 'coerce'}, default 'raise' - If 'raise', then invalid parsing will raise an exception. - If 'coerce', then invalid parsing will be set as NaT. - If 'ignore', then invalid parsing will return the input. Returns ------- timedelta64 or numpy.array of timedelta64 Output type returned if parsing succeeded. See Also -------- DataFrame.astype : Cast argument to a specified dtype. to_datetime : Convert argument to datetime. convert_dtypes : Convert dtypes. Examples -------- 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 00:00:00.000015500') 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 00:00:00.000015500', NaT], dtype='timedelta64[ns]', freq=None) Converting numbers by specifying the `unit` keyword argument: >>> pd.to_timedelta(np.arange(5), unit='s') TimedeltaIndex(['0 days 00:00:00', '0 days 00:00:01', '0 days 00:00:02', '0 days 00:00:03', '0 days 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) Nignorer coercez5errors must be one of 'ignore', 'raise', or 'coerce'}YyMzqUnits 'M', 'Y', and 'y' are no longer supported, as they do not represent unambiguous timedelta values durations.)uniterrors)indexname)rrrrndimzBarg must be a string, timedelta, list, tuple, 1-d array, or Seriesz9unit must not be specified if the input is/contains a str)r r r >r rr )r ValueError isinstancer_convert_listlikeZ_valuesZ _constructorrrrnpZndarrayritemrgetattr TypeErrorstr _coerce_scalar_to_timedelta_type)argrrvaluesr P/var/www/html/virt/lib64/python3.6/site-packages/pandas/core/tools/timedeltas.py to_timedeltas0I   r"nsc CsDyt||}Wn0tk r>|dkr*n |dkr6|St}YnX|S)z)Convert string 'r' to a timedelta object.r r )rrr)rrrresultr r r!r}s rc Cst|ttfst|d r,tjt|td}yt|||ddd}Wn"tk rf|dkr`|SYnXddl m }||d|d }|S) z6Convert a list of objects to a timedelta index object.dtype)r&F)rrcopyrr )TimedeltaIndexr#)rr) rlisttuplehasattrrarrayobjectrrZpandasr()rrrrvaluer(r r r!rs  r)Nr )r#r )Nr N)__doc__ZnumpyrZpandas._libs.tslibsrZpandas._libs.tslibs.timedeltasrrZpandas.core.dtypes.commonrZpandas.core.dtypes.genericrrZpandas.core.arrays.timedeltasrr"rrr r r r!s    m