o ҷh,"@sXdZddlmZddlmZmZddlZddlZddl m Z ddl m Z m Z ddlmZmZddlmZdd lmZdd lmZdd lmZmZdd lmZertdd lmZddlmZddlm Z ddl!m"Z"m#Z#ddl$m%Z%m&Z&m'Z'e  d-d.ddZ(e  d-d/ddZ(e  d-d0d!dZ(  "d1d2d%dZ( "d3d4d'd(Z)  " d5d6d+d,Z*dS)7z timedelta support tools ) annotations) TYPE_CHECKINGoverloadN)lib)NaTNaTType) Timedeltaparse_timedelta_unit)find_stack_level) is_list_like) ArrowDtype)ABCIndex ABCSeries)sequence_to_td64ns)Hashable) timedelta) UnitChoices) ArrayLikeDateTimeErrorChoices)IndexSeriesTimedeltaIndex.argstr | float | timedeltaunitUnitChoices | NoneerrorsrreturnrcCdSNrrrr r O/var/www/html/venv/lib/python3.10/site-packages/pandas/core/tools/timedeltas.py to_timedelta3r#rcCrrr r!r r r"r#<r$(list | tuple | range | ArrayLike | IndexrcCrrr r!r r r"r#Er$raiseQstr | int | float | timedelta | list | tuple | range | ArrayLike | Index | Series#Timedelta | TimedeltaIndex | SeriescCs0|dvrtjd|dttd|durt|}|dvr!td|dvr)td |dur/|St|trFt|j ||d }|j ||j |j d St|t rTt||||j d St|tjre|jd kret|}nt|rxt|dddkrxt|||d St|dddkrtdt|tr|durtdt|||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. .. 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' / 'T' * 'S' / 'seconds' / 'sec' / 'second' * 'ms' / 'milliseconds' / 'millisecond' / 'milli' / 'millis' / 'L' * 'us' / 'microseconds' / 'microsecond' / 'micro' / 'micros' / 'U' * 'ns' / 'nanoseconds' / 'nano' / 'nanos' / 'nanosecond' / 'N' Must not be specified when `arg` context strings and ``errors="raise"``. .. deprecated:: 2.1.0 Units 'T' and 'L' are deprecated and will be removed in a future version. 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) >LTltzUnit 'z8' is deprecated and will be removed in a future version.) stacklevelN)ignorer&coercez5errors must be one of 'ignore', 'raise', or 'coerce'.>MYyzqUnits 'M', 'Y', and 'y' are no longer supported, as they do not represent unambiguous timedelta values durations.)rr)indexname)rrr4rndimzBarg must be a string, timedelta, list, tuple, 1-d array, or Seriesz9unit must not be specified if the input is/contains a str)warningswarn FutureWarningr r ValueError isinstancer_convert_listlike_values _constructorr3r4r npndarrayr5ritem_from_zerodimr getattr TypeErrorstr _coerce_scalar_to_timedelta_type)rrrvaluesr r r"r#Ns@e    nscCsDzt||}W|Sty!|dkr|dkr|YSt}Y|Sw)z)Convert string 'r' to a timedelta object.r&r.)rr:r)rrrresultr r r"rEs  rEr4Hashable | NonecCst|dd}t|ttfs|dur"t|dst|}tj|td}n t|tr.|j dkr.|Sz t |||ddd}Wnt yJ|d krI|YSwdd l m }||d |d }|S) z6Convert a list of objects to a timedelta index object.dtypeN __array__)rKmF)rrcopyrr.)rrG)rr4)rBr;listtuplehasattrr?arrayobjectr kindrr:pandasr)rrrr4 arg_dtypetd64arrrvaluer r r"r<s"     r<)..)rrrrrrrr)rrrrrrrr)rr%rrrrrr)Nr&)rr'rrrrrr()rGr&)rrrr)Nr&N)rrrrr4rJ)+__doc__ __future__rtypingrrr7numpyr? pandas._libsrpandas._libs.tslibsrrpandas._libs.tslibs.timedeltasrr pandas.util._exceptionsr pandas.core.dtypes.commonr pandas.core.dtypes.dtypesr pandas.core.dtypes.genericr rpandas.core.arrays.timedeltasrcollections.abcrdatetimerrpandas._typingrrrUrrrr#rEr<r r r r"sR