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lmZ dd lmZ ddlmc mZ dd l m Z m Z dd l m!Z! ddl"m#Z# erddl$m%Z% e#g d¢ejL z ed¬« e#g d¢e« G d de!« « « Z' ddd ddZ(y)z implement the TimedeltaIndex é )Ú annotations)Ú TYPE_CHECKINGN)ÚindexÚlib)Ú
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ResolutionÚ TimedeltaÚ to_offset)Údisallow_ambiguous_unit)Úfind_stack_level)Ú is_scalarÚ pandas_dtype)Ú ABCSeries)ÚTimedeltaArray)ÚIndexÚmaybe_extract_name)ÚDatetimeTimedeltaMixin)Ú inherit_names)ÚDtypeObj)Ú__neg__Ú__pos__Ú__abs__Ú total_secondsÚroundÚfloorÚceilT)Úwrap)Ú
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Zd Zdd Zdd Zedd« Zy)ÚTimedeltaIndexal
|
Immutable Index of timedelta64 data.
|
|
Represented internally as int64, and scalars returned Timedelta objects.
|
|
Parameters
|
----------
|
data : array-like (1-dimensional), optional
|
Optional timedelta-like data to construct index with.
|
unit : {'D', 'h', 'm', 's', 'ms', 'us', 'ns'}, optional
|
The unit of ``data``.
|
|
.. deprecated:: 2.2.0
|
Use ``pd.to_timedelta`` instead.
|
|
freq : str or pandas offset object, optional
|
One of pandas date offset strings or corresponding objects. The string
|
``'infer'`` can be passed in order to set the frequency of the index as
|
the inferred frequency upon creation.
|
dtype : numpy.dtype or str, default None
|
Valid ``numpy`` dtypes are ``timedelta64[ns]``, ``timedelta64[us]``,
|
``timedelta64[ms]``, and ``timedelta64[s]``.
|
copy : bool
|
Make a copy of input array.
|
name : object
|
Name to be stored in the index.
|
|
Attributes
|
----------
|
days
|
seconds
|
microseconds
|
nanoseconds
|
components
|
inferred_freq
|
|
Methods
|
-------
|
to_pytimedelta
|
to_series
|
round
|
floor
|
ceil
|
to_frame
|
mean
|
|
See Also
|
--------
|
Index : The base pandas Index type.
|
Timedelta : Represents a duration between two dates or times.
|
DatetimeIndex : Index of datetime64 data.
|
PeriodIndex : Index of Period data.
|
timedelta_range : Create a fixed-frequency TimedeltaIndex.
|
|
Notes
|
-----
|
To learn more about the frequency strings, please see `this link
|
<https://pandas.pydata.org/pandas-docs/stable/user_guide/timeseries.html#offset-aliases>`__.
|
|
Examples
|
--------
|
>>> pd.TimedeltaIndex(['0 days', '1 days', '2 days', '3 days', '4 days'])
|
TimedeltaIndex(['0 days', '1 days', '2 days', '3 days', '4 days'],
|
dtype='timedelta64[ns]', freq=None)
|
|
We can also let pandas infer the frequency when possible.
|
|
>>> pd.TimedeltaIndex(np.arange(5) * 24 * 3600 * 1e9, freq='infer')
|
TimedeltaIndex(['0 days', '1 days', '2 days', '3 days', '4 days'],
|
dtype='timedelta64[ns]', freq='D')
|
Útimedeltaindexc ó" t j S ©N)ÚlibindexÚTimedeltaEngine©Úselfs úQH:\Change_password\venv_build\Lib\site-packages\pandas/core/indexes/timedeltas.pyÚ _engine_typezTimedeltaIndex._engine_type s ä×'Ñ'Ð'ó r Ú_datac ó. | j j S r& )r. Ú_resolution_objr) s r+ r0 z TimedeltaIndex._resolution_obj s àzz×)Ñ)Ð)r- NFc ó |t j ur2t j d| j dt
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t « ¬« nd }t ||| « }t |« r| j |« t |« | t |« }t |t « rH|t j u r6|||j k( r%|r|j « }| j! ||¬« S t |t" « rG|t j u r5|3|||j k( r"|r|j « S |j% « S t j& |||||¬« }d } |s"t |t( t* f« r |j, } | j! ||| ¬« S ) NzThe 'closed' keyword in zD construction is deprecated and will be removed in a future version.)Ú
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r+ Ú__new__zTimedeltaIndex.__new__ s ð Ñ 'ä MMØ*¨3¯<©<¨.ð 9Fð Fä Ü+Ó-õ ð s~~Ñ %ä MMØ(¨¯ © ¨ð 7/ð /ô Ü+Ó-ö ð Dä! $¨¨cÓ2ä T?Ø × (Ñ (¨Ô .ä Ô%Ø Ð Ü Ó'Eô t^Ô ,ØÑ&Ø %¨4¯:©:Ò"5áØyy{Ø?? 4¨d?Ó3Ð 3ô t^Ô ,ØÑ&Ø Ø %¨4¯:©:Ò"5áØyy{Ð"àzz|Ð#ô ×8Ñ8Ø t $¨e¸$ô
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ð Ù
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4¬)´UÐ);Ô<Ø×#Ñ#Dàu¨4°dÓ;Ð;r- c ó. t j |d« S )zF
|
Can we compare values of the given dtype to our own?
|
Úm)r Ú is_np_dtype)r* r7 s r+ Ú_is_comparable_dtypez#TimedeltaIndex._is_comparable_dtypeÞ s ô u cÓ*Ð*r- c óÆ | j |« | j j |d¬« }t j | |« S # t $ r}t |« |d}~ww xY w)z
|
Get integer location for requested label
|
|
Returns
|
-------
|
loc : int, slice, or ndarray[int]
|
F)ÚunboxN)Ú_check_indexing_errorr. Ú_validate_scalarÚ TypeErrorÚKeyErrorr Úget_loc)r* ÚkeyÚerrs r+ rT zTimedeltaIndex.get_locç sa ð ×"Ñ" 3Ô'ð )Ø**×-Ñ-¨c¸Ð-Ó?Cô }}T 3Ó'Ð'øô ò )Ü3- SÐ (ûð )ús A Á A Á AÁA c ó t |« }|d fS r& )r )r* ÚlabelÚparseds r+ Ú_parse_with_resoz TimedeltaIndex._parse_with_resoø s ä5Ó!Øt|Ðr- c ó |j |j « }|t |j « z t dd« z
|
}||fS )Né Úns)r Úresolution_stringr r )r* ÚresorY ÚlboundÚrbounds r+ Ú_parsed_string_to_boundsz'TimedeltaIndex._parsed_string_to_boundsý sA à f× 6Ñ 6Ó7Ø) F×$<Ñ$<Ó=Ñ=Ä È!ÈTÓ@RÑRØv~Ð r- c ó y)NÚ timedelta64© r) s r+ Ú inferred_typez TimedeltaIndex.inferred_type s à r- )Úreturnz type[libindex.TimedeltaEngine])rg zResolution | None)r8 Úbool)r7 r rg rh )rX Ústr)rY r )rg ri )r= Ú
|
__module__Ú __qualname__Ú__doc__Ú_typr Ú _data_clsÚpropertyr, Ú__annotations__r Ú_get_string_slicer0 r r: rI rM rT rZ rb rf re r- r+ r# r# & s®
ñ"FðP Dà Ià ò(ó ð(ð Óð ×/Ñ/Ðð ò*ó ð*ð Ø ^^Ø ^^Ø~~ØØØ ðE<ð óE<óR+ò(ó" ó
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ð ò ó ñ r- r# )r6 c ó² |t j || |« rd}t |« }t j | |||||¬« }t
|
j ||¬« S )a$
|
Return a fixed frequency TimedeltaIndex with day as the default.
|
|
Parameters
|
----------
|
start : str or timedelta-like, default None
|
Left bound for generating timedeltas.
|
end : str or timedelta-like, default None
|
Right bound for generating timedeltas.
|
periods : int, default None
|
Number of periods to generate.
|
freq : str, Timedelta, datetime.timedelta, or DateOffset, default 'D'
|
Frequency strings can have multiples, e.g. '5h'.
|
name : str, default None
|
Name of the resulting TimedeltaIndex.
|
closed : str, default None
|
Make the interval closed with respect to the given frequency to
|
the 'left', 'right', or both sides (None).
|
unit : str, default None
|
Specify the desired resolution of the result.
|
|
.. versionadded:: 2.0.0
|
|
Returns
|
-------
|
TimedeltaIndex
|
|
Notes
|
-----
|
Of the four parameters ``start``, ``end``, ``periods``, and ``freq``,
|
exactly three must be specified. If ``freq`` is omitted, the resulting
|
``TimedeltaIndex`` will have ``periods`` linearly spaced elements between
|
``start`` and ``end`` (closed on both sides).
|
|
To learn more about the frequency strings, please see `this link
|
<https://pandas.pydata.org/pandas-docs/stable/user_guide/timeseries.html#offset-aliases>`__.
|
|
Examples
|
--------
|
>>> pd.timedelta_range(start='1 day', periods=4)
|
TimedeltaIndex(['1 days', '2 days', '3 days', '4 days'],
|
dtype='timedelta64[ns]', freq='D')
|
|
The ``closed`` parameter specifies which endpoint is included. The default
|
behavior is to include both endpoints.
|
|
>>> pd.timedelta_range(start='1 day', periods=4, closed='right')
|
TimedeltaIndex(['2 days', '3 days', '4 days'],
|
dtype='timedelta64[ns]', freq='D')
|
|
The ``freq`` parameter specifies the frequency of the TimedeltaIndex.
|
Only fixed frequencies can be passed, non-fixed frequencies such as
|
'M' (month end) will raise.
|
|
>>> pd.timedelta_range(start='1 day', end='2 days', freq='6h')
|
TimedeltaIndex(['1 days 00:00:00', '1 days 06:00:00', '1 days 12:00:00',
|
'1 days 18:00:00', '2 days 00:00:00'],
|
dtype='timedelta64[ns]', freq='6h')
|
|
Specify ``start``, ``end``, and ``periods``; the frequency is generated
|
automatically (linearly spaced).
|
|
>>> pd.timedelta_range(start='1 day', end='5 days', periods=4)
|
TimedeltaIndex(['1 days 00:00:00', '2 days 08:00:00', '3 days 16:00:00',
|
'5 days 00:00:00'],
|
dtype='timedelta64[ns]', freq=None)
|
|
**Specify a unit**
|
|
>>> pd.timedelta_range("1 Day", periods=3, freq="100000D", unit="s")
|
TimedeltaIndex(['1 days', '100001 days', '200001 days'],
|
dtype='timedelta64[s]', freq='100000D')
|
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