Owg"dZddlmZddlmZmZddlZddlZddl m Z ddl m Z m Z ddlmZmZmZddlmZdd lmZdd lmZdd lmZmZdd lmZer$dd lmZddlm Z ddlm!Z!ddl"m#Z#m$Z$ddl%m&Z&m'Z'm(Z(e d ddZ)e d ddZ)e d ddZ) d ddZ) d ddZ* d d!dZ+y)"z timedelta support tools ) annotations) TYPE_CHECKINGoverloadN)lib)NaTNaTType) Timedeltadisallow_ambiguous_unitparse_timedelta_unit)find_stack_level) is_list_like) ArrowDtype)ABCIndex ABCSeries)sequence_to_td64ns)Hashable) timedelta) UnitChoices) ArrayLikeDateTimeErrorChoices)IndexSeriesTimedeltaIndexcyNarguniterrorss S/var/www/horilla/myenv/lib/python3.12/site-packages/pandas/core/tools/timedeltas.py to_timedeltar"4 cyrrrs r!r"r"=r#r$cyrrrs r!r"r"Fr#r$c|t|}t||dvr td|dk(r$tjdt t ||St|tr@t|j||}|j||j|jSt|trt||||jSt|tj r%|j"d k(rt%j&|}nDt)|rt+|d d d k(rt|||St+|d d d kDr t-d t|t.r | td t1|||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. .. versionchanged:: 2.0 Strings with units 'M', 'Y' and 'y' do not represent unambiguous timedelta values and will raise an exception. 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' / 'H' * 'm' / 'minute' / 'min' / 'minutes' / 'T' * 's' / 'seconds' / 'sec' / 'second' / 'S' * 'ms' / 'milliseconds' / 'millisecond' / 'milli' / 'millis' / 'L' * 'us' / 'microseconds' / 'microsecond' / 'micro' / 'micros' / 'U' * 'ns' / 'nanoseconds' / 'nano' / 'nanos' / 'nanosecond' / 'N' Must not be specified when `arg` contains strings and ``errors="raise"``. .. deprecated:: 2.2.0 Units 'H', 'T', 'S', 'L', 'U' and 'N' are deprecated and will be removed in a future version. Please use 'h', 'min', 's', 'ms', 'us', and 'ns' instead of 'H', 'T', 'S', 'L', 'U' and 'N'. 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 ------- timedelta If parsing succeeded. Return type depends on input: - list-like: TimedeltaIndex of timedelta64 dtype - Series: Series of timedelta64 dtype - scalar: Timedelta See Also -------- DataFrame.astype : Cast argument to a specified dtype. to_datetime : Convert argument to datetime. convert_dtypes : Convert dtypes. Notes ----- If the precision is higher than nanoseconds, the precision of the duration is truncated to nanoseconds for string inputs. 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) )ignoreraisecoercez5errors must be one of 'ignore', 'raise', or 'coerce'.r(zerrors='ignore' is deprecated and will raise in a future version. Use to_timedelta without passing `errors` and catch exceptions explicitly instead) stacklevel)rr )indexname)rr r-rndimzBarg 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 ValueErrorwarningswarn FutureWarningr isinstancer_convert_listlike_values _constructorr,r-rnpndarrayr.ritem_from_zerodimr getattr TypeErrorstr _coerce_scalar_to_timedelta_type)rrr valuess r!r"r"Os]N #D)% 22PQQ   ! ')   { C #"3;;T&IciichhGG C " 4SXXNN C $Q ##C( c wsFA6!; 4?? fa 1 $ P  #s 0TUU ,Cd6 JJr$cj t||}|S#t$r|dk(r|dk(r|cYSt}Y|SwxYw)z)Convert string 'r' to a timedelta object.r)r()r r0r)rrr results r!r>r>sO 1d# M  W   X H Ms 222clt|dd}t|ttfs|3t |ds t|}t j |t}n!t|tr|jdk(r|S t|||dd}dd l m }||| }|S#t$r |d k(r|cYSwxYw) z6Convert a list of objects to a timedelta index object.dtypeN __array__)rDmF)rr copyrr()r)r-)r;r4listtuplehasattrr8arrayobjectrkindrr0pandasr)rrr r- arg_dtypetd64arrrvalues r!r5r5sWd+I#e}%): sK(s)Chhs&) Iz *y~~/D  $StFOPQR& 7 .E L!   X J  s;BB31B3)..)rzstr | float | timedeltarUnitChoices | Noner rreturnr )rrrrRr rrSr)rz(list | tuple | range | ArrayLike | IndexrrRr rrSr)Nr))rzQstr | int | float | timedelta | list | tuple | range | ArrayLike | Index | SeriesrrRr rrSz#Timedelta | TimedeltaIndex | Series)nsr))rrRr r)Nr)N)rrRr rr-zHashable | None),__doc__ __future__rtypingrrr1numpyr8 pandas._libsrpandas._libs.tslibsrrpandas._libs.tslibs.timedeltasr r r pandas.util._exceptionsr pandas.core.dtypes.commonr pandas.core.dtypes.dtypesrpandas.core.dtypes.genericrrpandas.core.arrays.timedeltasrcollections.abcrdatetimerrpandas._typingrrrNrrrr"r>r5rr$r!rds# 520 =(":   ##&   !    ##&   !    ##& 1  !  & $#*PK PK PK !PK)PKhHO 0D, $#* % % !%  %r$