IjSrSSKJr SSKJrJrJr SSKrSSK J r SSK J r J r SSKJrJrJr SSKJr SS KJr SS KJr SS KJrJr SS KJr \(a$SS KJr SSKJ r SSKJ!r! SSK"J#r#J$r$ SSK%J&r&J'r'J(r( \SSSjj5r)\SSSjj5r)\SSSjj5r)\"S5SSSjj5r)SS Sjjr*S!S"Sjjr+g)#z timedelta support tools ) annotations) TYPE_CHECKINGAnyoverloadN)lib)NaTNaTType) Timedeltadisallow_ambiguous_unitparse_timedelta_unit) set_module) is_list_like) ArrowDtype)ABCIndex ABCSeries)sequence_to_td64ns)Hashable) timedelta) UnitChoices) ArrayLikeDateTimeErrorChoices)IndexSeriesTimedeltaIndexcgNarguniterrorss m/root/GenerationalWealth/GenerationalWealth/venv/lib/python3.13/site-packages/pandas/core/tools/timedeltas.py to_timedeltar#5s cgrrrs r"r#r#=s r$cgrrrs r"r#r#Es r$pandascUb[U5n[U5 US;a [S5eUc[$[ U[ 5(a8[ URXS9nURX0RURS9$[ U[5(a[ XX RS9$[ U[R5(a'URS:Xa[R "U5nOG[#U5(a[%USS5S:Xa [ XUS9$[%USS5S:a ['S 5e[ U[(5(aUb [S 5e[+XUS9$) 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' * 'm' / 'minute' / 'min' / 'minutes' * 's' / 'seconds' / 'sec' / 'second' * 'ms' / 'milliseconds' / 'millisecond' / 'milli' / 'millis' * 'us' / 'microseconds' / 'microsecond' / 'micro' / 'micros' * 'ns' / 'nanoseconds' / 'nano' / 'nanos' / 'nanosecond' Must not be specified when `arg` contains strings and ``errors="raise"``. errors : {'raise', 'coerce'}, default 'raise' - If 'raise', then invalid parsing will raise an exception. - If 'coerce', then invalid parsing will be set as NaT. 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[s]', freq=None) >>> pd.to_timedelta(np.arange(5), unit="D") TimedeltaIndex(['0 days', '1 days', '2 days', '3 days', '4 days'], dtype='timedelta64[s]', freq=None) )raisecoercez+errors must be one of 'raise', or 'coerce'.)r r!)indexname)r r!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 ValueErrorr isinstancer_convert_listlike_values _constructorr+r,rnpndarrayr-ritem_from_zerodimrgetattr TypeErrorstr _coerce_scalar_to_timedelta_type)rr r!valuess r"r#r#Ms:D #D)% ((FGG { C # #"3;;TIiichhGG C " " XXNN C $ $Q ##C( c  wsFA6!; ?? fa 1 $ P  #s 0TUU ,C6 JJr$cZ[X5nU$![a US:Xae[nU$f=f)z)Convert string 'r' to a timedelta object.r))r r/r)rr r!results r"r:r:s> 1# M  W   M s **cT[USS5n[U[[45(dUc[R "U[ S9nO'[U[5(aURS:XaU$[XUSS9SnSSK J n XPL=(d [R"X5nU"XSUS 9nU$) z6Convert a list of objects to a timedelta index object.dtypeN)r@mF)r r!copyr)r)r,rB) r7r0listtupler4arrayobjectrkindrr'rmay_share_memory) rr r!r, arg_dtypetd64arrrrBvalues r"r1r1sWd+I#e}%%):hhs&) Iz * *y~~/D  UKANG% > >R00>D 7D 9E Lr$)..)rzstr | float | timedeltar UnitChoices | Noner!rreturnr )rrr rLr!rrMr)rz(list | tuple | range | ArrayLike | Indexr rLr!rrMr)Nr))rzQstr | int | float | timedelta | list | tuple | range | ArrayLike | Index | Seriesr rLr!rrMz3Timedelta | TimedeltaIndex | Series | NaTType | Any)nsr))r rLr!rrMzTimedelta | NaTType)Nr)N)r rLr!rr,zHashable | None),__doc__ __future__rtypingrrrnumpyr4 pandas._libsrpandas._libs.tslibsrr pandas._libs.tslibs.timedeltasr r r pandas.util._decoratorsr pandas.core.dtypes.commonrpandas.core.dtypes.dtypesrpandas.core.dtypes.genericrrpandas.core.arrays.timedeltasrcollections.abcrdatetimerrpandas._typingrrr'rrrr#r:r1rr$r"r^s#  /20 =(":   ##&   !    ##&   !    ##& 1  !   H $#*AK AK AK !AK9AKAKJHO 0D& $#*   !  r$