Ë
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oñúh¼ ã ó d dl mZ d dlZd dlmZmZmZmZ d dlZ d dl
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m Z d dl m Z d dlmZ d dlmc mZ d dlmZ d dlmZmZmZmZmZm Z d d l m Z m Z m Z m!Z! d d
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l"m#Z# d dl$Z%d d l$m&Z&m'Z'm(Z(m)Z)m*Z*m+Z+m,Z,m-Z-m.Z.m/Z/m0Z0 d d l1m2Z2m3Z3m4Z4m5Z5m6Z6 d d l7m8Z8 d dl9m:Z: d dl;m<Z< d dl=m>Z> erd dl?m@Z@ d2 d3dZAd4dZBd5d6dZC d7 d8dZD d9 d:dZEd;d<dZFd4dZGd4dZH d= d>d ZI d? d@d ZJdAdBd ZK dC dDd ZL dE dDd ZM dF dGd!ZN dH dId#ZOdde j e j e j d$f dJd%ZQdddde j d"dddde j e j d&f dd"d' dKd(ZRdddddd"e j d"dd"dde j e j d)f dLd*ZSd4d+ZTd4d,ZUd4d-ZVd4d.ZW dMd/ZXdNd0ZY dO dPd1ZZy)Qé )Ú annotationsN)Ú TYPE_CHECKINGÚLiteralÚNoReturnÚcast)Úlib)Úis_matching_na)Ú SparseIndex)Ú compare_mismatched_resolutions)Úis_boolÚis_float_dtypeÚis_integer_dtypeÚ is_numberÚis_numeric_dtypeÚneeds_i8_conversion)ÚCategoricalDtypeÚDatetimeTZDtypeÚExtensionDtypeÚ NumpyEADtype)Úarray_equivalent) Ú CategoricalÚ DataFrameÚ DatetimeIndexÚIndexÚ IntervalDtypeÚ IntervalIndexÚ
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RangeIndexÚSeriesÚTimedeltaIndex)Ú DatetimeArrayÚExtensionArrayÚ IntervalArrayÚ PeriodArrayÚTimedeltaArray)ÚDatetimeLikeArrayMixin)Ú StringDtype)Úsafe_sort_index)Ú pprint_thing)ÚDtypeObjÚequivc ó t | t « rt | |fd|||d|¤ yt | t « rt | |fd|||d|¤ yt | t
|
« rt | |fd|||d|¤ y|rut | « r t |« rn^t | « r t |« rnGt | t j « st |t j « rd}nd}t | ||¬« t j | |ft |« ||d|¤ y) a
|
Check that the left and right objects are approximately equal.
|
|
By approximately equal, we refer to objects that are numbers or that
|
contain numbers which may be equivalent to specific levels of precision.
|
|
Parameters
|
----------
|
left : object
|
right : object
|
check_dtype : bool or {'equiv'}, default 'equiv'
|
Check dtype if both a and b are the same type. If 'equiv' is passed in,
|
then `RangeIndex` and `Index` with int64 dtype are also considered
|
equivalent when doing type checking.
|
rtol : float, default 1e-5
|
Relative tolerance.
|
atol : float, default 1e-8
|
Absolute tolerance.
|
F)Ú check_exactÚexactÚrtolÚatol)r. Ú check_dtyper0 r1 ú numpy arrayÚInput©Úobj)r2 r0 r1 N)Ú
|
isinstancer Úassert_index_equalr Úassert_series_equalr Úassert_frame_equalr r ÚnpÚndarrayÚassert_class_equalÚ_testingÚassert_almost_equalÚbool)ÚleftÚrightr2 r0 r1 Úkwargsr6 s úLH:\Change_password\venv_build\Lib\site-packages\pandas/_testing/asserters.pyr? r? B s, ô6 $Ô ÜØ Ø ð
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ð Ø ØØñ
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ð ó
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ô
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D&Ô !ÜØ Ø ð
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ô
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ð Ø#ØØñ
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ð ó
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ñ ܤ9¨UÔ#3àÜ ¤7¨5¤>àä d¤B§J¡JÔ/´:¸eÄRÇZÁZÔ3PØ'Cà!CÜ" 4¨°CÕ8ô ×$Ñ$Ø %ð
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Ü%)¨+Ó%6¸TÈñ
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ØPVó
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ó c óÀ |j }t | |« s t | d| dt | « d« t ||« s t | d| dt |« d« y)aª
|
Helper method for our assert_* methods that ensures that
|
the two objects being compared have the right type before
|
proceeding with the comparison.
|
|
Parameters
|
----------
|
left : The first object being compared.
|
right : The second object being compared.
|
cls : The class type to check against.
|
|
Raises
|
------
|
AssertionError : Either `left` or `right` is not an instance of `cls`.
|
z Expected type z, found z insteadN)Ú__name__r7 ÚAssertionErrorÚtype)rA rB ÚclsÚcls_names rD Ú_check_isinstancerL sv ð ||Hä dCÔ Ü Øj¨ u¨H´T¸$³Z°LÀÐ Ió
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ô eSÔ !Ü Øj¨ u¨H´T¸%³[°MÀÐ Jó
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ð "rE Tc óV t | |t « t j | ||¬« y )N)Ú compare_keys)rL Údictr> Úassert_dict_equal)rA rB rN s rD rP rP ° s ÜdE¤4Ô(Ü × Ñ t U¸ ÖFrE c
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ót d}
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ddfd } t | |t « | | || ¬« | j |j k7 r5| d} | j d| } |j d| }t | | | |« t | « t |« k7 r3| d} t | « d| } t |« d| }t | | | |« |st | « } t |« }t | t « r¬t t |« }t | j « D ] }d| d} t | j | |j | |||||¬ « t | j | |j | « | | j | |j | | ¬« n|rÃrÁ| j! |« sì| j" |j" k7 }t |t$ j& « st d
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|« j) d« }t% j* |j- t. « « d z t | « z }| d t% j0 |d « d}t | || |« n<t3 « }t5 j6 | j8 |j8 |||| | |¬« |rt; d| || ¬« t | t< « st |t< « rt; d| || ¬« t | t> « st |t> « r tA | j" |j" « r[t | jB tD « st |jB tD « r&tG | j" |j" | d¬« yyy# t $ r: | j |« }|j |« }t |||||||¬ « Y Jw xY w)ak
|
Check that left and right Index are equal.
|
|
Parameters
|
----------
|
left : Index
|
right : Index
|
exact : bool or {'equiv'}, default 'equiv'
|
Whether to check the Index class, dtype and inferred_type
|
are identical. If 'equiv', then RangeIndex can be substituted for
|
Index with an int64 dtype as well.
|
check_names : bool, default True
|
Whether to check the names attribute.
|
check_exact : bool, default True
|
Whether to compare number exactly.
|
check_categorical : bool, default True
|
Whether to compare internal Categorical exactly.
|
check_order : bool, default True
|
Whether to compare the order of index entries as well as their values.
|
If True, both indexes must contain the same elements, in the same order.
|
If False, both indexes must contain the same elements, but in any order.
|
rtol : float, default 1e-5
|
Relative tolerance. Only used when check_exact is False.
|
atol : float, default 1e-8
|
Absolute tolerance. Only used when check_exact is False.
|
obj : str, default 'Index'
|
Specify object name being compared, internally used to show appropriate
|
assertion message.
|
|
Examples
|
--------
|
>>> from pandas import testing as tm
|
>>> a = pd.Index([1, 2, 3])
|
>>> b = pd.Index([1, 2, 3])
|
>>> tm.assert_index_equal(a, b)
|
Tc ó6 sy t | ||¬« t d| ||¬« t | j t « rNt |j t « r4r1t d| ||¬« t | j |j ¬« y t d| ||¬« y )N)r/ r6 Ú inferred_typer5 Údtype)r/ )r= Úassert_attr_equalr7 rT r r8 Ú
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categories)rA rB r6 Úcheck_categoricalr/ s rD Ú _check_typesz(assert_index_equal.<locals>._check_typesç s ø ÙØ ä4 ¨e¸Õ=Ü/¨4°¸CÕ@ô djjÔ"2Ô 3¼
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ñ !Ü! '¨4°¸CÕ@Ü" 4§?¡?°E×4DÑ4DÈEÕRØ ä' 4¨°CÖ8rE r5 z levels are differentú, z length are differentzMultiIndex level [ú])r/ Ú check_namesr. rW r0 r1 r6 r# ç Y@ú values are different (é ú %))r0 r1 r2 r6 ÚlobjÚrobjÚnamesrT ú categoryN)r ©r6 ÚstrÚreturnÚNone)$rL r ÚnlevelsÚraise_assert_detailÚlenr) r7 r r Úranger8 ÚlevelsÚassert_numpy_array_equalÚcodesrH Úget_level_valuesÚequalsÚ_valuesr; r< ÚfillnaÚsumÚastypeÚintÚroundr@ r> r? ÚvaluesrU r r Úassert_interval_array_equalrT r Úassert_categorical_equal)rA rB r/ r[ r. rW Ú check_orderr0 r1 r6 Ú__tracebackhide__rX Úmsg1Úmsg2Úmsg3Úlevelr` ÚllevelÚrlevelÚmismatchÚdiffÚmsgÚ
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exact_bools ` ` rD r8 r8 µ s~ ù ð` Ð÷9ô& dE¤5Ô)ñ u #Õ&ð ||u}}Ò$ØÐ+Ð,Ø,, r $ Ð(Ø-- 5 'Ð*ÜC t¨TÔ2ô 4yCJÒ ØÐ+Ð,Üd)BtfÐ%Üe* R wÐ'ÜC t¨TÔ2ñ Ü tÓ$Ü Ó&ô $
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Ô3Ü Ð 0°(Ó;×BÑBÀ4ÓHä66(//¬#Ó.Ó/°%Ñ7¼#¸d»)ÑCDØEÐ0´·±¸$ÀÓ1BÐ0CÀ3ÐGCÜ S¨$°Õ 6ô %[
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ô % T§\¡\°5·=±=ÈÈÈYÐFWÖ Xð8
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|
Checks classes are equal.
|
Tc óP t | t « r| S t | « j S ©N)r7 r rI rG )Úxs rD Ú
|
repr_classz&assert_class_equal.<locals>.repr_classh s! Ü aÔ àHäAw× Ñ Ð rE c óH t | « t u xs t | t « S )zµClasses that are a RangeIndex (sub-)instance or exactly an `Index` .
|
|
This only checks class equivalence. There is a separate check that the
|
dtype is int64.
|
)rI r r7 r )Úidxs rD Úis_class_equivz*assert_class_equal.<locals>.is_class_equivo s ô CyEÐ!Ò@¤Z°´ZÓ%@Ð@rE Nr, z classes are different)r r rf r@ )rI ri )rA rB r/ r6 r{ r r r s rD r= r= ` si ð Ðò óAô DzT%[Ò Øà ÒÙ $Ô ¡N°5Ô$9Ø à EÐ'Ð
|
(CÜS¡*¨TÓ"2±J¸uÓ4EÕFrE c óD d}t || « }t || « }||u s t ||« ry ||k( }|t j u |t j u z rd}n t |t « s|j « }|sd| d}t ||||« y# t $ r d}Y lw xY w)aO
|
Check attributes are equal. Both objects must have attribute.
|
|
Parameters
|
----------
|
attr : str
|
Attribute name being compared.
|
left : object
|
right : object
|
obj : str, default 'Attributes'
|
Specify object name being compared, internally used to show appropriate
|
assertion message
|
TNFz Attribute "z" are different) Úgetattrr Ú TypeErrorÚpdÚNAr7 r@ Úallri ) ÚattrrA rB r6 r{ Ú left_attrÚ
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right_attrÚresultr s rD rU rU s³ ð ÐädÓ#IÜ Ó%JàJÑ ¤.°¸JÔ"GàðØjÑ(ð RUUÐz¬R¯U©UÐ 2Ò3ØÜ ¤Ô %Ø á ØD6 Ð1ÜC i°Ô<Ø øô ò àðús B  B  B c ó² ddl m} ddlm} t | t
|
t j f« rlt | t
|
« r | j } | j « D ]< }dt t |« j « }t ||t f« r7J |« y dt t | « j « }t | |t t f« sJ |« y )Nr )ÚArtist)ÚAxeszBone of 'objs' is not a matplotlib Axes instance, type encountered zoobjs is neither an ndarray of Artist instances nor a single ArtistArtist instance, tuple, or dict, 'objs' is a )Úmatplotlib.artistr Úmatplotlib.axesr r7 r r; r< rq ÚravelÚreprrI rG rO Útuple)Úobjsr r Úelr s rD Ú"assert_is_valid_plot_return_objectr¢ © sÅ Ý(Ý$ä$¤§¡Ð,Ô-Ü dFÔ #Ø<<DØ**,ò 5Bð$Ü$(¬¨b«×):Ñ):Ó$;Ð#<ð>ð ô b 4¬ ,Õ/Ð 4°Ó 4Ð/ñ 5ð BäDJ×'Ñ'Ó(Ð)ð +ð ô
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$ ¬´Ð 5Ô6Ð;¸Ó;Ñ6rE c ó t | t t f« r | j } t | t j
|
« r3t | t j t j | « « « yt | | | j « « y)z#Assert that the sequence is sorted.N) r7 r r rw r; r< rm ÚsortÚarrayÚ assert_extension_array_equalÚargsort)Úseqs rD Úassert_is_sortedr© ¿ sW ä#vÔ'Øjjä#rzzÔ"Ü ¤b§g¡g¬b¯h©h°s«mÓ&<Õ=ä$ S¨#¨c¯k©k«mÑ*<Õ=rE c óà t | |t « t | j t « st |j t « rd}nd}|rMt | j |j | d|¬« t | j |j || d¬« n | j j « }|j j « }t ||| d|¬« t | j j | j « |j j |j « | d|¬« t d| ||¬ « y
|
# t $ r | j |j }}Y w xY w) a}
|
Test that Categoricals are equivalent.
|
|
Parameters
|
----------
|
left : Categorical
|
right : Categorical
|
check_dtype : bool, default True
|
Check that integer dtype of the codes are the same.
|
check_category_order : bool, default True
|
Whether the order of the categories should be compared, which
|
implies identical integer codes. If False, only the resulting
|
values are compared. The ordered attribute is
|
checked regardless.
|
obj : str, default 'Categorical'
|
Specify object name being compared, internally used to show appropriate
|
assertion message.
|
r, Tz .categories)r6 r/ z.codes©r2 r6 z.valuesÚorderedr5 N) rL r r7 rV r r8 rm rn Ú sort_valuesr ÚtakerU )rA rB r2 Úcheck_category_orderr6 r/ ÚlcÚrcs rD ry ry Ê s> ô2 dE¤;Ô/ô $//¤:Ô.´*Ø ×Ñ*ô3ð ð áÜØ OOU× -Ñ -°c°U¸+Ð3FÈeõ
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ô !Ø JJ °ÀSÀEÈÀ.ö
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ð 7Ø ×,Ñ,Ó.BØ×!Ñ!×-Ñ-Ó/Bô 2r¨#¨¨kÐ':À%ÕHÜØ OO× Ñ §¡Ó ,Ø × Ñ × !Ñ ! %§+¡+Ó .Ø%wØõ
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ô i u°#Ö6øô ò 7à__ e×&6Ñ&6Bð 7ús Â4E Å !E-Å,E-c ó. t | |t « i }| j j j dv rd|d< t | j |j fd| di|¤ t | j |j fd| di|¤ t d| ||¬« y) a
|
Test that two IntervalArrays are equivalent.
|
|
Parameters
|
----------
|
left, right : IntervalArray
|
The IntervalArrays to compare.
|
exact : bool or {'equiv'}, default 'equiv'
|
Whether to check the Index class, dtype and inferred_type
|
are identical. If 'equiv', then RangeIndex can be substituted for
|
Index with an int64 dtype as well.
|
obj : str, default 'IntervalArray'
|
Specify object name being compared, internally used to show appropriate
|
assertion message
|
ÚmMFÚ
|
check_freqr6 z.leftÚclosedr5 N)rL r$ Ú_leftrT ÚkindÚ assert_equalÚ_rightrU )rA rB r/ r6 rC s rD rx rx s ô$ dE¤=Ô1à FØ zz×Ñ× Ñ Ñ$à $|Ñ äU[[ÑF°°°U¨mÐF¸vÒFÜellÑH°3°%°u° ÐHÀÒHäh e°Ö5rE c ó t | |t « t | j |j | d¬« t d| ||¬« y )Nú ._ndarrayr5 rT )rL r% rm Ú_ndarrayrU )rA rB r6 s rD Úassert_period_array_equalr½ & s7 ÜdE¤;Ô/ä T]]¨E¯N©NÀ3À%ÀyÐ@QÕRÜgt U°Ö4rE c ó´ d}t | |t « t | j |j | d¬« |rt d| ||¬« t d| ||¬« y )NTr» r5 ÚfreqÚtz)rL r" rm r¼ rU ©rA rB r6 r´ r{ s rD Úassert_datetime_array_equalr - sP ð ÐÜdE¤=Ô1ä T]]¨E¯N©NÀ3À%ÀyÐ@QÕRÙÜ& $¨°3Õ7ÜdD %¨SÖ1rE c ó d}t | |t « t | j |j | d¬« |rt d| ||¬« y y )NTr» r5 r¿ )rL r& rm r¼ rU rÁ s rD Ú assert_timedelta_array_equalrÄ 9 sG ð ÐÜdE¤>Ô2Ü T]]¨E¯N©NÀ3À%ÀyÐ@QÕRÙÜ& $¨°3Ö7ð rE c óÜ d}| d| }t |t « rt j |« }t |t j « r|dt |« z }t |t j « r t |« }nOt |t t f« r t |« }n-t |t « r d|j d|j d}t |t j « r t |« }nOt |t t f« r t |« }n-t |t « r d|j d|j d}|d| d| z }||d | z }||d
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| z }t |« ) NTz are different
|
|
z
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|
[index]: zStringDtype(storage=z , na_value=ú)z
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[left]: z
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first_diffÚ index_valuesr{ r s rD ri ri C so ð Ðàeð à ð Cô ,¤Ô&Üzz ,Ó/ ä,¤§
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|
Check that 'np.ndarray' is equivalent.
|
|
Parameters
|
----------
|
left, right : numpy.ndarray or iterable
|
The two arrays to be compared.
|
strict_nan : bool, default False
|
If True, consider NaN and None to be different.
|
check_dtype : bool, default True
|
Check dtype if both a and b are np.ndarray.
|
err_msg : str, default None
|
If provided, used as assertion message.
|
check_same : None|'copy'|'same', default None
|
Ensure left and right refer/do not refer to the same memory area.
|
obj : str, default 'numpy array'
|
Specify object name being compared, internally used to show appropriate
|
assertion message.
|
index_values : Index | numpy.ndarray, default None
|
optional index (shared by both left and right), used in output.
|
Tr5 c ó8 t | dd « | j S | S )NÚbase)r rÐ r5 s rD Ú _get_basez+assert_numpy_array_equal.<locals>._get_base s Ü" 3¨°Ó5ÐAsxxÐJÀsÐJrE Úsamez is not Úcopyz is c ój |¦| j |j k7 r%t d| j |j « d}t | |« D ] \ }}t || ¬« r|dz } |dz | j z } dt j |d« d}t || |¬ « t |« )
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D cg c] } t j: | « c} « sJ d« t |j t2 « r|j j4 dk( rp|j j6 t j8 u rJt j( |j" | D cg c] } t j: | « c} « sJ d« | |
|
j= t> ¬« } || j= t> ¬« }|rt+ | |||¬« y tA jB | |tE |« ||||¬« y c c} w c c} w )a
|
Check that left and right ExtensionArrays are equal.
|
|
Parameters
|
----------
|
left, right : ExtensionArray
|
The two arrays to compare.
|
check_dtype : bool, default True
|
Whether to check if the ExtensionArray dtypes are identical.
|
index_values : Index | numpy.ndarray, default None
|
Optional index (shared by both left and right), used in output.
|
check_exact : bool, default False
|
Whether to compare number exactly.
|
|
.. versionchanged:: 2.2.0
|
|
Defaults to True for integer dtypes if none of
|
``check_exact``, ``rtol`` and ``atol`` are specified.
|
rtol : float, default 1e-5
|
Relative tolerance. Only used when check_exact is False.
|
atol : float, default 1e-8
|
Absolute tolerance. Only used when check_exact is False.
|
obj : str, default 'ExtensionArray'
|
Specify object name being compared, internally used to show appropriate
|
assertion message.
|
|
.. versionadded:: 2.0.0
|
|
Notes
|
-----
|
Missing values are checked separately from valid values.
|
A mask of missing values is computed for each and checked to match.
|
The remaining all-valid values are cast to object dtype and checked.
|
|
Examples
|
--------
|
>>> from pandas import testing as tm
|
>>> a = pd.Series([1, 2, 3, 4])
|
>>> b, c = a.array, a.array
|
>>> tm.assert_extension_array_equal(b, c)
|
Fçñhãµøä>ç:0âyE>z left is not an ExtensionArrayz right is not an ExtensionArrayrT úAttributes of r5 r³ r N)rÍ r6 z NA mask)r6 rÍ Úpythonz wrong missing value sentinels)rT )r2 r0 r1 r6 rÍ )#r Ú
|
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|
left_validÚ right_valids rD r¦ r¦ ¿ s¿ ðh s~~Ñ%Ø CNNÑ "Ø CNNÑ "ô TZZÓ (ò /Ü" 4§:¡:Ó.Ð.ò 0ä § ¡ Ó,ò 0Ü" 5§;¡;Ó/Ð/ñ ð
|
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|
ð äjjÓ%GÜzz%**,Ó'HÜ Ø # hÐ /¸lõô 4::{Ô+Ø JJ× Ñ (Ò *Ø JJ× Ñ ¤2§6¡6Ñ )ävvØ&*§m¡m°GÑ&<Ö =sRXXc]Ò =ô
|
ð +à *ó +ð
|
ô 5;;¤ Ô,Ø KK× Ñ 8Ò +Ø KK× Ñ ¤B§F¡FÑ *ävvØ&+§n¡n°XÑ&>Ö ?sRXXc]Ò ?ô
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ð +à *ó +ð
|
ð wh ×(Ñ(¬vÐ(Ó6JØ Ñ"×+Ñ+´&Ð+Ó9KÙÜ Ø ¨¸<ö
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|
ùò% >ùò @s Î SÑ S r )Ú check_indexÚ
|
check_likec óà d}|t j u rdn|}|t j u r| t j u ro| t j u r]t | j « xr t | j « xs- t |j « xr t |j « }n|t j u rd}| t j ur| nd} | t j ur| nd} |s |r t d« t | |t « |rt | ||¬« t | « t |« k7 rBt | « d| j }t |« d|j }t |d||« | rK| j |j k( s2J t | j « d t |j « « |r-t | j |j ||||| | | | d
|
¬ «
|
|r| j |« } |
|
rnt! | j t" t$ f« rN| j }|j }|j& |j& k( s J |j& |j& f« |rIt! | j t( « r t! |j t( « r|snt+ d | |d | ¬« |rÆ| j, }|j, }t! |t. « r5t! |t. « r%t1 |||| j t3 |« ¬« nb||}}t! |t. « r|j5 « }t! |t. « r|j5 « }t7 |||t3 |« | j ¬« nù|rt9 | j « st9 |j « r`t; | j, « j= t; |j, « « sd| j, d|j, d}t? |« t! | j t@ « r<t! |j t@ « r"tC | jD |jD « nt! | j t( « st! |j t( « rNtG jH | j, |j, | | tK |« t3 |« | j ¬« nt! | j tL « rUt! |j tL « r;t1 | j, |j, | | || j t3 |« ¬« n&tO | j |j « s tO |j | j « r8t1 | j, |j, || j t3 |« ¬« n®t9 | j « rMt9 |j « r8t1 | j, |j, || j t3 |« ¬« nLtG jH | j, |j, | | tK |« t3 |« | j ¬« |rt+ d| ||¬« |r\t! | j t( « st! |j t( « r'tQ | j, |j, | d| ¬« yyy)a¡
|
Check that left and right Series are equal.
|
|
Parameters
|
----------
|
left : Series
|
right : Series
|
check_dtype : bool, default True
|
Whether to check the Series dtype is identical.
|
check_index_type : bool or {'equiv'}, default 'equiv'
|
Whether to check the Index class, dtype and inferred_type
|
are identical.
|
check_series_type : bool, default True
|
Whether to check the Series class is identical.
|
check_names : bool, default True
|
Whether to check the Series and Index names attribute.
|
check_exact : bool, default False
|
Whether to compare number exactly.
|
|
.. versionchanged:: 2.2.0
|
|
Defaults to True for integer dtypes if none of
|
``check_exact``, ``rtol`` and ``atol`` are specified.
|
check_datetimelike_compat : bool, default False
|
Compare datetime-like which is comparable ignoring dtype.
|
check_categorical : bool, default True
|
Whether to compare internal Categorical exactly.
|
check_category_order : bool, default True
|
Whether to compare category order of internal Categoricals.
|
check_freq : bool, default True
|
Whether to check the `freq` attribute on a DatetimeIndex or TimedeltaIndex.
|
check_flags : bool, default True
|
Whether to check the `flags` attribute.
|
rtol : float, default 1e-5
|
Relative tolerance. Only used when check_exact is False.
|
atol : float, default 1e-8
|
Absolute tolerance. Only used when check_exact is False.
|
obj : str, default 'Series'
|
Specify object name being compared, internally used to show appropriate
|
assertion message.
|
check_index : bool, default True
|
Whether to check index equivalence. If False, then compare only values.
|
|
.. versionadded:: 1.3.0
|
check_like : bool, default False
|
If True, ignore the order of the index. Must be False if check_index is False.
|
Note: same labels must be with the same data.
|
|
.. versionadded:: 1.5.0
|
|
Examples
|
--------
|
>>> from pandas import testing as tm
|
>>> a = pd.Series([1, 2, 3, 4])
|
>>> b = pd.Series([1, 2, 3, 4])
|
>>> tm.assert_series_equal(a, b)
|
TFrä rå z0check_like must be False if check_index is Falser5 rY zSeries length are differentú != ú.index©r/ r[ r. rW rz r0 r1 r6 rT ræ )r2 rÍ r6 )r2 r6 rÍ z[datetimelike_compat=True] z is not equal to ú.)r0 r1 r2 r6 rÍ )r0 r1 r2 rÍ r6 Únamerc )r6 r¯ N))r rè r rT r Ú
|
ValueErrorrL r r= rj Úindexri Úflagsr r8 Ú reindex_liker7 r r! r¿ r rU rq r# r¦ re rñ rm r r rp rH r rx r¥ r> r? r@ r Ú0is_extension_array_dtype_and_needs_i8_conversionry ) rA rB r2 Úcheck_index_typeÚcheck_series_typer[ r. Úcheck_datetimelike_compatrW r¯ r´ Ú check_flagsr0 r1 r6 rú rû r{ Úcheck_exact_indexr| r} ÚlidxÚridxÚ left_valuesÚ right_valuesÚlvÚrvr s rD r9 r9 S s~ ðZ ÐØ!,´·±Ñ!>ÀKÐàs~~Ñ%Ø CNNÑ "Ø CNNÑ "ô TZZÓ (ò /Ü" 4§:¡:Ó.Ð.ò 0ä § ¡ Ó,ò 0Ü" 5§;¡;Ó/Ð/ñ ð
|
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|
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|
#ÜDJJÔ'Ô+>¸u¿{¹{Ô+Kô T\\Ó"×)Ñ)¬%°· ± Ó*>Õ?à-¨d¯l©l¨^ð <#Ø#(§=¡= /°ð4ð ô ! Ó%Ð %Ü DJJ¤ Ô .´:Ø ]ô4ô $ D§J¡J°· ± Ö<Ü DJJÔ 0Ô 1´ZØ Ô%ô6ô ×$Ñ$Ø LLØ MMØØÜ [Ó)ÜCØ ÷
|
ô
|
DJJ¤Ô /´JØ ^ô5ô %Ø LLØ MMØØØ#Ø ÜC÷
|
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|
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|
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ð rE r c óÞ d}|t j ur|nd}|t j ur|nd}|t j ur|nd}t | |t « |rt | t |« « sJ | j |j k7 r9t || dt | j « t |j « « | rK| j |j k( s2J t | j « dt |j « « t | j |j ||||
|
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|
t | j |j ||||
|
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|
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|
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|
Check that left and right DataFrame are equal.
|
|
This function is intended to compare two DataFrames and output any
|
differences. It is mostly intended for use in unit tests.
|
Additional parameters allow varying the strictness of the
|
equality checks performed.
|
|
Parameters
|
----------
|
left : DataFrame
|
First DataFrame to compare.
|
right : DataFrame
|
Second DataFrame to compare.
|
check_dtype : bool, default True
|
Whether to check the DataFrame dtype is identical.
|
check_index_type : bool or {'equiv'}, default 'equiv'
|
Whether to check the Index class, dtype and inferred_type
|
are identical.
|
check_column_type : bool or {'equiv'}, default 'equiv'
|
Whether to check the columns class, dtype and inferred_type
|
are identical. Is passed as the ``exact`` argument of
|
:func:`assert_index_equal`.
|
check_frame_type : bool, default True
|
Whether to check the DataFrame class is identical.
|
check_names : bool, default True
|
Whether to check that the `names` attribute for both the `index`
|
and `column` attributes of the DataFrame is identical.
|
by_blocks : bool, default False
|
Specify how to compare internal data. If False, compare by columns.
|
If True, compare by blocks.
|
check_exact : bool, default False
|
Whether to compare number exactly.
|
|
.. versionchanged:: 2.2.0
|
|
Defaults to True for integer dtypes if none of
|
``check_exact``, ``rtol`` and ``atol`` are specified.
|
check_datetimelike_compat : bool, default False
|
Compare datetime-like which is comparable ignoring dtype.
|
check_categorical : bool, default True
|
Whether to compare internal Categorical exactly.
|
check_like : bool, default False
|
If True, ignore the order of index & columns.
|
Note: index labels must match their respective rows
|
(same as in columns) - same labels must be with the same data.
|
check_freq : bool, default True
|
Whether to check the `freq` attribute on a DatetimeIndex or TimedeltaIndex.
|
check_flags : bool, default True
|
Whether to check the `flags` attribute.
|
rtol : float, default 1e-5
|
Relative tolerance. Only used when check_exact is False.
|
atol : float, default 1e-8
|
Absolute tolerance. Only used when check_exact is False.
|
obj : str, default 'DataFrame'
|
Specify object name being compared, internally used to show appropriate
|
assertion message.
|
|
See Also
|
--------
|
assert_series_equal : Equivalent method for asserting Series equality.
|
DataFrame.equals : Check DataFrame equality.
|
|
Examples
|
--------
|
This example shows comparing two DataFrames that are equal
|
but with columns of differing dtypes.
|
|
>>> from pandas.testing import assert_frame_equal
|
>>> df1 = pd.DataFrame({'a': [1, 2], 'b': [3, 4]})
|
>>> df2 = pd.DataFrame({'a': [1, 2], 'b': [3.0, 4.0]})
|
|
df1 equals itself.
|
|
>>> assert_frame_equal(df1, df1)
|
|
df1 differs from df2 as column 'b' is of a different type.
|
|
>>> assert_frame_equal(df1, df2)
|
Traceback (most recent call last):
|
...
|
AssertionError: Attributes of DataFrame.iloc[:, 1] (column name="b") are different
|
|
Attribute "dtype" are different
|
[left]: int64
|
[right]: float64
|
|
Ignore differing dtypes in columns with check_dtype.
|
|
>>> assert_frame_equal(df1, df2, check_dtype=False)
|
Trä rå Fz shape mismatchrý rþ rÿ z.columnsr« r× )Úaxisz .iloc[:, z] (column name="z")) r2 r r. r[ r rW r´ r6 r0 r1 rú r
|
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|
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|
|
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|
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|
k( s J | j
|
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|
f« yyt | t « rt | |fi |¤ yt | t « rt | |fi |¤ yt | t « rt | |fi |¤ yt | t « rt | |fi |¤ yt | t « rt | |fi |¤ yt | t « rt# | |fi |¤ yt | t$ « rt' | |fi |¤ yt | t( j* « rt- | |fi |¤ yt | t. « r|i k( sJ | |k( sJ y|i k( sJ t1 | |« y)aC
|
Wrapper for tm.assert_*_equal to dispatch to the appropriate test function.
|
|
Parameters
|
----------
|
left, right : Index, Series, DataFrame, ExtensionArray, or np.ndarray
|
The two items to be compared.
|
**kwargs
|
All keyword arguments are passed through to the underlying assert method.
|
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|
« t | j t « sJ t |j t « sJ | j }|j }|j |« st dd||« n t d| |« t d| |« t | j « |j « « y)z
|
Check that the left and right SparseArray are equal.
|
|
Parameters
|
----------
|
left : SparseArray
|
right : SparseArray
|
zSparseArray.indexzindex are not equalÚ
|
fill_valuerT N) rL r ÚarraysÚ SparseArrayrm Ú sp_valuesr7 Úsp_indexr
|
rp ri rU Úto_dense)rA rB Ú
|
left_indexÚ right_indexs rD Úassert_sp_array_equalr1 R s¼ ô dE¤2§9¡9×#8Ñ#8Ô9ä T^^¨U¯_©_Ô=ô dmm¤[Ô 1Ð1Ð 1Ü enn¤kÔ 2Ð2Ð 2à JØ..Kà × Ñ [Ô )ÜØ Ð!6¸
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äl D¨%Ô0Ügt UÔ+Ü T]]_¨e¯n©nÓ.>Õ?rE c ó@ | D ] }||v rJ dt |« « y )NzDid not contain item: )r )ÚiterableÚdicÚks rD Úassert_contains_allr6 s s. Ø ò <ØCxÐ;Ð1´$°q³'°Ð;Ó;xñ<rE c ó¶ t | |« D ]J \ }}t ||fi |¤ dt t |« « dt t |« « d}||urEJ |« y)zï
|
iter1, iter2: iterables that produce elements
|
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|
|
Checks that the elements are equal, but not
|
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|
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|
zExpected object z and object z8 to be different objects, but they were the same object.N)rÙ r? r rI )Úiter1Úiter2Ú
|
eql_kwargsÚelem1Úelem2r s rD Ú assert_copyr= x su ô E 5Ó)ò ' uÜE 5Ñ7¨JÒ7à t¤D¨£KÓ 0Ð 1° ¼dÄ4ÈÃ;Ó>OÐ=Pð Q@ð @ð ð EÒ!Ð& 3Ó&Ð!ñ 'rE c ó< t | t « xr t |« S )z¸
|
Checks that we have the combination of an ExtensionArraydtype and
|
a dtype that should be converted to int64
|
|
Returns
|
-------
|
bool
|
|
Related to issue #37609
|
)r7 r r )Ú
|
left_dtypeÚ right_dtypes rD r r s ô j¤.Ó 1Ò VÔ6IÈ+Ó6VÐVrE c ó | j | }t | j | |« t | j « st | | |« yy)z_
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Check that ser.iloc[i_slc] matches ser.loc[l_slc] and, if applicable,
|
ser[l_slc].
|
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xxHä ¨Ô1ä CIIÔ &äC J¨Õ1ð 'rE c ór | j D ]( }t | |d« }||J |t ||d« k( r(J y)z:
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Check that ._metadata attributes are equivalent.
|
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