Ë
|
oñúhE ã óX d dl mZ d dlmZ d dlZd dlmZ d dlm Z d dl
|
m Z m Z m Z mZ d dlmZmZmZmZmZ d dlmZmZ d d lmZmZ d d
|
lm Z m Z m Z d d l m Z d d l!m"Z" d d l#m$Z$ d dl%m&Z&m'Z' d dl(m)Z)m*Z* d dl+m,Z, erd dl-m.Z. d dl/m0Z0m1Z1m2Z2 d dl3m4Z4 g d¢Z5e5D ] Z6eD ] Z7e6 de7 Z8ee6 ee8< dD ] Z6eD ] Z7e6 de7 Z9e9ee9< eD ] Z:de: ede: < d)dZ; d*dZ< G d d« Z= G d d e=« Z>d+d Z?d,d Z@d-d ZAd-d!ZBd.d"ZCd/d#ZDd0d$ZEd0d%ZFd0d&ZGd0d'ZHg d(¢ZIy)1é )Ú annotations)Ú TYPE_CHECKINGN)Úlib)Ú unique_deltas)Ú TimestampÚget_unit_from_dtypeÚperiods_per_dayÚtz_convert_from_utc)ÚDAYSÚ MONTH_ALIASESÚ MONTH_NUMBERSÚMONTHSÚint_to_weekday)ÚOFFSET_TO_PERIOD_FREQSTRÚfreq_to_period_freqstr)Úbuild_field_sarrayÚmonth_position_check)Ú
|
DateOffsetÚDayÚ to_offset)Úget_rule_month)Úcache_readonly)Úis_numeric_dtype)ÚDatetimeTZDtypeÚ PeriodDtype)ÚABCIndexÚ ABCSeries)Úunique)Únpt)Ú DatetimeIndexÚSeriesÚTimedeltaIndex)ÚDatetimeLikeArrayMixin)ÚQSÚBQEÚBQSÚYSÚBYEÚBYSú-)ÚYÚQúW-c ó. t j | d« S )z4
|
Alias to closest period strings BQ->Q etc.
|
N)r Úget)Ú
|
offset_strs úMH:\Change_password\venv_build\Lib\site-packages\pandas/tseries/frequencies.pyÚget_period_aliasr2 N s ô $× 'Ñ '¨
|
°DÓ 9Ð9ó c ó¦ ddl m} t | t « rs| j }t j |j d« sEt |j t « s+|j t k( st d| j « |} t | d« snt | j t « r t d« t j | j d« rt | « }|j « S t | j « rt d| j « t | |« s || « } t! | « }|j « S ) aW
|
Infer the most likely frequency given the input index.
|
|
Parameters
|
----------
|
index : DatetimeIndex, TimedeltaIndex, Series or array-like
|
If passed a Series will use the values of the series (NOT THE INDEX).
|
|
Returns
|
-------
|
str or None
|
None if no discernible frequency.
|
|
Raises
|
------
|
TypeError
|
If the index is not datetime-like.
|
ValueError
|
If there are fewer than three values.
|
|
Examples
|
--------
|
>>> idx = pd.date_range(start='2020/12/01', end='2020/12/30', periods=30)
|
>>> pd.infer_freq(idx)
|
'D'
|
r )r ÚmMz>cannot infer freq from a non-convertible dtype on a Series of ÚdtypezJPeriodIndex given. Check the `freq` attribute instead of using infer_freq.Úmz8cannot infer freq from a non-convertible index of dtype )Úpandas.core.apir Ú
|
isinstancer Ú_valuesr Ú is_np_dtyper6 r ÚobjectÚ TypeErrorÚhasattrr Ú_TimedeltaFrequencyInfererÚget_freqr Ú_FrequencyInferer)Úindexr ÚvaluesÚinferers r1 Ú
|
infer_freqrE Y s õ: .ä%Ô#Ø ä OOFLL¨$Ô /Ü&,,¬Ô8Ø||vÒ%äð"Ø"'§+¡+ ð0óð ð ô 5'Ô "Ø Ü EKK¤Ô -Üð +ó
|
ð
|
ô
|
cÔ *ä,¨UÓ3Ø× Ñ Ó!Ð!ä %++Ô &ÜØFÀuÇ{Á{ÀmÐ Tó
|
ð
|
ô e]Ô +Ù eÓ$ä Ó&GØ × Ñ Ó Ð r3 c ó e Zd ZdZddZedd« Zedd« Zedd« Zedd« Z ddZ
|
edd« Z edd « Z ed d
|
« Z ed d « Zdd Zedd « Zedd« ZddZddZddZddZddZddZddZy) rA z8
|
Not sure if I can avoid the state machine here
|
c ó$ || _ |j | _ t |t « r/t |j j j « | _ n$t |j j « | _ t |d« r=|j 1t | j |j | j ¬« | _ t |« dk r t d« | j j xs | j j | _ y )NÚtz©Úresoé z(Need at least 3 dates to infer frequency)rB Úasi8Úi8valuesr9 r r Ú_dataÚ_ndarrayr6 Ú_cresor> rH r
|
ÚlenÚ
|
ValueErrorÚ_is_monotonic_increasingÚ_is_monotonic_decreasingÚ is_monotonic)ÚselfrB s r1 Ú__init__z_FrequencyInferer.__init__¤ sÍ Ø
|
Ø
|
|
ô eXÔ &ô .Ø ×$Ñ$×*Ñ*óDKô
|
.¨e¯n©n×.BÑ.BÓCDKô 5$Ô ØxxÐ#Ü 3ØMM 5§8¡8°$·+±+ô! ô u:>Ü Ð GÓHÐ Hð JJ× /Ñ /Ò V°4·:±:×3VÑ3Vð Õr3 c ó, t | j « S ©N)r rM ©rV s r1 Údeltasz_FrequencyInferer.deltasà s ä T]]Ó+Ð+r3 c ó@ t | j j « S rY )r rB rL rZ s r1 Ú deltas_asi8z _FrequencyInferer.deltas_asi8Ç s ô TZZ__Ó-Ð-r3 c ó2 t | j « dk( S ©Né )rQ r[ rZ s r1 Ú is_uniquez_FrequencyInferer.is_uniqueÍ s ä4;;Ó 1Ñ$Ð$r3 c ó2 t | j « dk( S r_ )rQ r] rZ s r1 Úis_unique_asi8z _FrequencyInferer.is_unique_asi8Ñ s ä4×#Ñ#Ó$¨Ñ)Ð)r3 c ó | j r| j j sy| j d }t | j
|
« }|r t ||« r| j « S | j ddgddgg d¢fv ry| j sy| j d }|dz }|d z }|d z }t ||« rt d
|
||z « S t ||« rt d ||z « S t ||« rt d ||z « S t ||d z « rt d||d z z « S t ||dz « rt d||dz z « S t d|« S )z¨
|
Find the appropriate frequency string to describe the inferred
|
frequency of self.i8values
|
|
Returns
|
-------
|
str or None
|
Nr r` é éA )r` re rf Úbhé é< ÚhÚminÚsiè Úmsi@B ÚusÚns) rU rB Ú
|
_is_uniquer[ r rP Ú _is_multipleÚ_infer_daily_ruleÚ hour_deltasrc r] Ú_maybe_add_count)rV ÚdeltaÚppdÚpphÚppmÚppss r1 r@ z_FrequencyInferer.get_freqÕ sW ð × Ò ¨¯
|
©
|
×(=Ò(=Øà AÜ dkkÓ*Ù \ %¨Ô-Ø×)Ñ)Ó+Ð +ð × Ñ B ¨!¨R¨²+Ð >Ñ >Øð
|
×"Ò"Øà× Ñ Ñ#ØRiØRiØRiÜ sÔ #ä# C¨°©Ó5Ð 5Ü % Ô %ä# E¨5°3©;Ó7Ð 7Ü % Ô %ä# C¨°©Ó5Ð 5Ü % #¨¡+Ô /ä# D¨%°3¸$±;Ñ*?Ó@Ð @Ü % #¨Ñ"2Ô 4ä# D¨%°3¸)Ñ3CÑ*DÓEÐ Eô $ D¨%Ó0Ð 0r3 c óp t | j « }| j D cg c] }||z c}S c c}w rY ©r rP r[ )rV rv Úxs r1 Ú
|
day_deltasz _FrequencyInferer.day_deltas s, ä dkkÓ*Ø!%§¡Ö-ACÒ-Ð-ùÒ-s ¤ 3c óv t | j « dz }| j D cg c] }||z c}S c c}w )Nrh r{ )rV rw r| s r1 rs z _FrequencyInferer.hour_deltas s1 ä dkkÓ*¨bÑ0Ø!%§¡Ö-ACÒ-Ð-ùÒ-s § 6c óD t | j | j ¬« S )NrI )r rM rP rZ s r1 Úfieldsz_FrequencyInferer.fields s ä! $§-¡-°d·k±kÔBÐBr3 c ó^ t | j d | j j ¬« S )Nr )Úunit)r rM rB r rZ s r1 Ú rep_stampz_FrequencyInferer.rep_stamp s ä qÑ)°·
|
±
|
·±Ô@Ð@r3 c óV t | j | j j « S rY )r r rB Ú dayofweekrZ s r1 r z&_FrequencyInferer.month_position_check s Ü# D§K¡K°·±×1EÑ1EÓFÐFr3 c óz | j d dz | j d z }t |j d« « S )Nr+ é ÚMÚi8)r r Úastype)rV Únmonthss r1 Úmdiffsz_FrequencyInferer.mdiffs s7 à++cÑ" RÑ'¨$¯+©+°cÑ*:Ñ:Ü W^^¨DÓ 1Ó2Ð2r3 c óP t | j d j d« « S )Nr+ r )r r r rZ s r1 Úydiffsz_FrequencyInferer.ydiffs! s! ä T[[¨Ñ -× 4Ñ 4°TÓ :Ó;Ð;r3 c ó> | j « }|r?| j d }t | j j }| d| }t ||« S | j « }|rN| j d dz }dddd}t || j j dz }| d| }t ||« S | j « }|rt || j d « S | j r| j « S | j « ry| j « } | r| S y ) Nr r* rK r é é
|
)r é r` ÚB) Ú_get_annual_ruler r r Úmonthrt Ú_get_quarterly_ruler Ú_get_monthly_rulera Ú_get_daily_ruleÚ_is_business_dailyÚ _get_wom_rule)
|
rV Ú annual_ruleÚnyearsr ÚaliasÚquarterly_ruleÚ nquartersÚmod_dictÚ monthly_ruleÚwom_rules
|
r1 rr z#_FrequencyInferer._infer_daily_rule% s Ø×+Ñ+Ó- Ù Ø[[ ^FÜ! $§.¡.×"6Ñ"6Ñ7EØ"m 1 U GÐ,EÜ# E¨6Ó2Ð 2à ×1Ñ1Ó3Ù Ø A¨Ñ*IØ "¨Ñ,HÜ! (¨4¯>©>×+?Ñ+?À!Ñ+CÑ"DÑEEØ%Ð& a¨ wÐ/EÜ# E¨9Ó5Ð 5à×-Ñ-Ó/ Ù Ü# L°$·+±+¸a±.ÓAÐ Aà >>Ø×'Ñ'Ó)Ð )à × "Ñ "Ô $Øà×%Ñ%Ó'Ù ØOàr3 c óâ t | j « }| j d |z }|dz dk( r5t | j j « }d| }t ||dz « S t d|« S )Nr é r- ÚD)r rP r[ r r Úweekdayrt )rV rv ÚdaysÚwdr s r1 r z!_FrequencyInferer._get_daily_ruleE sm Ü dkkÓ*Ø{{1~ Ñ#Ø !8q=ä §¡× 6Ñ 6Ó 8Ñ9BØIEÜ# E¨4°!©8Ó4Ð 4ä# C¨Ó.Ð .r3 c óÐ t | j « dkD ry t t | j d « « dkD ry | j « }|y dddddj |« S )Nr` r r' r) ÚYEr( ©ÚcsÚbsÚceÚbe)rQ r r r r r/ ©rV Ú pos_checks r1 r z"_FrequencyInferer._get_annual_ruleP se Ü t{{Ó aÒ Øä vdkk #Ñ&Ó'Ó (¨1Ò ,Øà×-Ñ-Ó/ à Ð Øà e°4¸uÑE×IÑIÈ)ÓTÐ Tr3 c ó² t | j « dkD ry | j d dz dk( sy | j « }|y dddddj |« S ) Nr` r rK r$ r& ÚQEr% r« ©rQ r r r/ r° s r1 r z%_FrequencyInferer._get_quarterly_rule^ s_ Ü t{{Ó aÒ Øà{{1~ Ñ! QÒ&Øà×-Ñ-Ó/ à Ð Øà e°4¸uÑE×IÑIÈ)ÓTÐ Tr3 c ó t | j « dkD ry | j « }|y dddddj |« S )Nr` ÚMSÚBMSÚMEÚBMEr« r´ r° s r1 r z#_FrequencyInferer._get_monthly_rulel sG Ü t{{Ó aÒ ØØ×-Ñ-Ó/ à Ð Øà e°4¸uÑE×IÑIÈ)ÓTÐ Tr3 c ó¾ | j ddgk7 ry| j d j « }t j | j
|
« }t | j « }t j ||« }t j |t j |« z d« }t t j |dk( |dk( z |dkD |dk z |dk( z z « « S )Nr` rK Fr r¤ é ) r} rB r¦ ÚnpÚdiffrM r rP Ú floor_divideÚmodÚcumsumÚboolÚall)rV Ú first_weekdayÚshiftsrv Úweekdayss r1 r z$_FrequencyInferer._is_business_dailyv sà à ??q !fÒ $Øð
|
|
1 ×-Ñ-Ó/ Ü Ó'Ü dkkÓ*Ü ¨Ó-Ü66-¬"¯)©)°FÓ*;Ñ;¸QÓ?äÜ FFØa- F¨a¡KÑ0Ø qL X°¡]Ñ3°vÀ±{ÑCñEó ó
|
ð
|
r3 c ó( t | j j « }t |« dkD ry t | j j dz
|
dz « }||dk }t |« dk( st |« dkD ry |d dz }t
|
|d }d| | S )Nr` r¤ r» r zWOM-)r rB r¦ rQ Údayr )rV rÅ Úweek_of_monthsÚweekr¨ s r1 r z _FrequencyInferer._get_wom_rule s Ü$**×,Ñ,Ó-Ü x=1Ò Øä §¡§ ¡ °!Ñ!3¸Ñ 9Ó:à'¨¸Ñ(:Ñ;Ü ~Ó !Ò #¤s¨>Ó':¸QÒ'>Øð aÑ 1Ñ$Ü H QKÑ (àdVB4Ð Ð r3 N)ÚreturnÚNone)rÊ znpt.NDArray[np.int64]©rÊ rÁ )rÊ ú
|
str | None)rÊ z list[int])rÊ z
|
np.ndarray)rÊ r )Ú__name__Ú
|
__module__Ú __qualname__Ú__doc__rW r r[ r] ra rc r@ r} rs r r r r r rr r r r r r r © r3 r1 rA rA s ñó
|
ð> ò,ó ð,ð ò.ó ð.ð
|
ò%ó ð%ð ò*ó ð*ó01ðd ò.ó ð.ð ò.ó ð.ð òCó ðCð òAó ðAóGð ò3ó ð3ð ò<ó ð<ó ó@ /ó Uó Uó Uó
|
ô&!r3 rA c ó e Zd Zd Zy)r? c ó< | j r| j « S y rY )ra r rZ s r1 rr z,_TimedeltaFrequencyInferer._infer_daily_rule s Ø >>Ø×'Ñ'Ó)Ð )ð r3 N)rÎ rÏ rÐ rr rÒ r3 r1 r? r? s ó*r3 r? c ó | |z dk( S )Nr rÒ )rn Úmults r1 rq rq ¡ s Ø 9>Ðr3 c óR |dk7 r!|t |« k( sJ t |« }| | S | S r_ )Úint)ÚbaseÚcounts r1 rt rt ¥ s8 Ø zØE
|
Ò"Ð"Ð"ÜE
|
ØÐ Ð à r3 c óº || yt | « } t |« }t |« r-t | « r t t | « t |« « S | dv S t |« r| dv S t |« r| dv S t |« r| |dddddd d
|
d d h
|
v S |dk( r| d v S |dk( r| dv S |dk( r| dv S |dk( r| dv S |dk( r| dv S |d k( r| dv S |d
|
k( r| dv S |d k( r| dv S |d k( r| dv S y)a
|
Returns True if downsampling is possible between source and target
|
frequencies
|
|
Parameters
|
----------
|
source : str or DateOffset
|
Frequency converting from
|
target : str or DateOffset
|
Frequency converting to
|
|
Returns
|
-------
|
bool
|
F>
|
r ÚCr¥ r rj rl rm ro rn rk > r rÜ r¥ rj rl rm ro rn rk r¥ rÜ r rj rk rl rm rn ro > r rj rl rm ro rn rk > rÜ rj rl rm ro rn rk > r¥ rj rl rm ro rn rk > rj rl rm ro rn rk > rl rm ro rn rk > rl rm ro rn > rm ro rn > ro rn > ro )Ú_maybe_coerce_freqÚ
|
_is_annualÚ _is_quarterlyÚ_quarter_months_conformr Ú _is_monthlyÚ
|
_is_weekly)ÚsourceÚtargets r1 Ú is_subperiodrå ² sZ ð ~ ØÜ Ó 'FÜ Ó 'Fä&ÔÜ Ô Ü*Ü vÓ&¬°vÓ(>óð ð ÐPÐPÐPÜ vÔ ØÐPÐPÐPÜ VÔ ØÐKÐKÐKÜ FÔ Ø& # s¨C°°e¸SÀ$ÈÈdÐSÐSÐSØ 3 ØÐAÐAÐAØ 3 ØÐAÐAÐAØ 3 ØÐAÐAÐAØ 3 ØÐ<Ð<Ð<Ø 5 ØÐ7Ð7Ð7Ø 3 ØÐ0Ð0Ð0Ø 4 ØÐ+Ð+Ð+Ø 4 Ø Ð%Ð%Ø 4 ØÐ Ð àr3 c ó || yt | « } t |« }t | « rSt |« rt | « t |« k( S t |« r"t | « }t |« }t ||« S |dv S t | « r|dv S t | « r|dv S t | « r|| dddddd d
|
d d h
|
v S | dk( r|dv S | dk( r|dv S | dk( r|dv S | dk( r|d v S | dk( r|dv S | d k( r|dv S | d
|
k( r|dv S | d k( r|dv S | d k( r|dv S y)a
|
Returns True if upsampling is possible between source and target
|
frequencies
|
|
Parameters
|
----------
|
source : str or DateOffset
|
Frequency converting from
|
target : str or DateOffset
|
Frequency converting to
|
|
Returns
|
-------
|
bool
|
F>
|
r rÜ r¥ r rj rl rm ro rn rk > r rÜ r¥ rj rl rm ro rn rk r¥ rÜ r rj rk rl rm rn ro > rj rl rm ro rn rk > rl rm ro rn rk > rl rm ro rn > rm ro rn > ro rn > ro )rÝ rÞ r rß rà rá râ )rã rä ÚsmonthÚtmonths r1 Úis_superperiodré é sz ð ~ ØÜ Ó 'FÜ Ó 'Fä&ÔÜ fÔ Ü! &Ó)¬^¸FÓ-CÑCÐ Cä Ô Ü# FÓ+FÜ# FÓ+FÜ*¨6°6Ó:Ð :ØÐPÐPÐPÜ vÔ ØÐPÐPÐPÜ VÔ ØÐKÐKÐKÜ FÔ Ø& # s¨C°°e¸SÀ$ÈÈdÐSÐSÐSØ 3 ØÐKÐKÐKØ 3 ØÐKÐKÐKØ 3 ØÐKÐKÐKØ 3 ØÐ<Ð<Ð<Ø 5 ØÐ7Ð7Ð7Ø 3 ØÐ0Ð0Ð0Ø 4 ØÐ+Ð+Ð+Ø 4 Ø Ð%Ð%Ø 4 ØÐ Ð àr3 c ó | J t | t « rt d| j « } | dv r| S | j « S )zÈwe might need to coerce a code to a rule_code
|
and uppercase it
|
|
Parameters
|
----------
|
source : str or DateOffset
|
Frequency converting from
|
|
Returns
|
-------
|
str
|
r` > rj rl rm ro rn rk )r9 r r ÚnameÚupper)Úcodes r1 rÝ rÝ # sD ð Ð ÐÐ Ü$
|
Ô#Ü% a¨¯©Ó3Ø Ð2Ñ2Ø àzz|Ðr3 c ó< t | }t | }|dz |dz k( S )NrK )r )rã rä ÚsnumÚtnums r1 rà rà 9 s) Ü Ñ DÜ Ñ DØ !8taxÑ Ð r3 c óR | j « } | dk( xs | j d« S )Nr+ zY-©rì Ú
|
startswith©Úrules r1 rÞ rÞ ? ó% Ø ::<DØ 3;Ò /$//¨$Ó/Ð/r3 c óR | j « } | dk( xs | j d« S )Nr, )zQ-ÚBQrò rô s r1 rß rß D s% Ø ::<DØ 3;Ò 7$//¨,Ó7Ð7r3 c ó* | j « } | dv S )N)r ÚBM)rì rô s r1 rá rá I s Ø ::<DØ ;Ð Ð r3 c óR | j « } | dk( xs | j d« S )NÚWr- rò rô s r1 râ râ N rö r3 )r r2 rE rå ré r )r0 ÚstrrÊ rÍ )rB z@DatetimeIndex | TimedeltaIndex | Series | DatetimeLikeArrayMixinrÊ rÍ )rÖ rØ rÊ rÁ )rÙ rý rÚ ÚfloatrÊ rý rÌ )rÊ rý )rã rý rä rý rÊ rÁ )rõ rý rÊ rÁ )JÚ
|
__future__r Útypingr Únumpyr¼ Ú pandas._libsr Úpandas._libs.algosr Úpandas._libs.tslibsr r r r
|
Ú pandas._libs.tslibs.ccalendarr r r r r Úpandas._libs.tslibs.dtypesr r Úpandas._libs.tslibs.fieldsr r Úpandas._libs.tslibs.offsetsr r r Úpandas._libs.tslibs.parsingr Úpandas.util._decoratorsr Úpandas.core.dtypes.commonr Úpandas.core.dtypes.dtypesr r Úpandas.core.dtypes.genericr r Úpandas.core.algorithmsr Úpandas._typingr Úpandasr r! r" Ú pandas.core.arrays.datetimeliker# Ú _need_suffixÚ_prefixÚ_mÚkeyÚ_aliasÚ_dr2 rE rA r? rq rt rå ré rÝ rà rÞ rß rá râ Ú__all__rÒ r3 r1 ú<module>r s ðÝ "å ã å Ý ,÷ó ÷ õ ÷÷÷ñ õ
|
7Ý 2å 6÷÷õ
|
*áÝ"÷ñ õ
|
Gò 8 àò JGØò JØ 2$Ð Ø(@ÀÑ(IÐ Ò%ñJðJð
|
ò 2GØò 2Ø9AbTÐ"Ø+1Ð Ò(ñ2ð2ð
|
ò 4BØ,.¨r¨d¨)Ð r " YÒ'ð4ó:ðC Ø KðC àóC ÷Ly!ñ y!ôx*Ð!2ô *ó óó4ón7ót ó, ó 0ó
|
8ó
|
ó
|
0ò
|
r3
|
