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m Z ddl Z ddl Z ddlmZmZmZ ddlmZmZ ddlZdd lmZ ddlZddlZdd
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lm Z m Z ddl m m Z! dd l"m#Z#m$Z$ ddl%Z&dd l%m'Z'm(Z(m)Z)m*Z*m+Z+m,Z,m-Z- ddl.m/Z0 dd l1m2Z2 ddl3m4Z4m5Z5 z ddl6Z7W n e8k
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rH dZ9Y nX [7dZ9dZ:e-j;rddl:Z:ze: <d¡ W n e:j=k
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r dZ:Y nX ddddZ>dddddddZ?dddd Z@ejAjBd dejCjDfd ejA Ed ¡ d F¡ D ]8ZGeHe&jIjJeGZKe LeKejMeKe Nd d!¡e O¡ d"¡ qìd# F¡ D ]DZGeHe&jIjJeGZKe LeKejMeKe Nd$d%¡e O¡ ejNd&d'd(d)¡ q.d* F¡ D ]DZGeHe&jIjJeGZKe LeKejMeKe Nd+d,¡e O¡ ejNd&d'd(d-¡ q|ejPddd.d/ZQejPdd0ddd1d2ZRejPdd&d3d4gd5d6 d7d8d9 ZSeSZTejPd&d4gd:d6 d7d;d< ZUejPdddgd=d>d? ZVejPdddgd=d@dA ZWejPddgd=dBdC ZXejPdDdEdgd=dFdG ZYejPdHdIdJdKgd=dLdM ZZejPdJdKdHdIgd=dNdO Z[ejPdJdKdHdIgd=dPdQ Z\ejPddRdSdTdUdVej]dWe! ^dX¡dYgd=dZd[ Z_ejPdRdSdTdUdVej]dWe! ^dX¡dYgd=d\d] Z`ejPddgd=d^d_ ZaejPd`dadJdKgd=dbdc ZbejPdddegd=dfdg ZcejPe0jddhd6 d7didj ZeeeZfejPdejge&jhgd=dkdl ZieiZjejPe0jkdmd6 d7dndo ZlelZmejPe'e*gd=dpdq ZnejPe4e*gd3drgd7dsdt ZoeoZpejPe4e*e&jqgd3drdugd7dvdw ZrejPe4e*e'e&jqgdxd6 d7dydz ZsesZtejPd{d| ZuejPd}d~ ZvejPdd ZwejPddddZxejPddd
dZydd Zzdd Z{e0 |d¡e0 }d¡e0j}ddde0 ~d¡e0 d¡e0 d¡e0jddde0jddde0jddde0jddde0jddde0jddde0jddde0jddde0jddde0jddde0 d¡
e¡e4ej d¡dk e0jddd
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d¡e0 d¡e0 d¡e4g e5 edddgd&dd g¡e{ ez e4ddd&d&ddge4e d¡d¡de4e d¡d¢de4e d¡d£de4e d¡
e¡d¤de4e&jqe0 |d¡d¥dd¦ Ze9r¨e4e&jqe0 |d¡d§dZeed¨< ejPe ¡ d=d©d3 ZeZejPdªd« e ¡ D d=d¬d ZeZejPd®d« e ¡ D d=d¯d° ZejPd±dd²d³ZejPd±dd´dµZejPd±dd¶d·Zd¸d¹ Zdºd» e ¡ D ZejPd±dd¼d½ZejPd±dd¾d¿ZdÀd» e0j D Z¡eee¡Z¢ejPe¢ ¡ d=dÁd Z£ejPdddÃdÄZ¤ejPdddÅdÆZ¥ejPdddÇdÈZ¦ejPdddÉdÊZ§ejPd±ddËdÌZ¨ejPe(dd%dÍe$ddKfe(dÎdÏdÍe$ddKfe)dÐdÑdÒdÓfe)dÔdÕdÒdÖfe,d×dØde#dØdfe+dÙdÚdÛfgd=dÜdÝ Z©dÞdßdàdádâdãdädådædçdèdédêdëgZªejPeªd=dìdí Z«ejPe j¬e2je j®e2j¯e j°e2j±e j²e2j³e j´e2jµe j¶e2j·e j¸e2j¹e jºe j»e j¼e j½e j¾e j¿e jÀe2jÁe jÂe2jÃe jÄe2jÅgd=dîdï ZÆejPe j¬e2je j®e2j¯e j°e2j±e j²e2j³e j´e2jµe j¶e2j·e j¸e2j¹gd=dðdñ ZÇdòdódôdõdöd÷dødùdúdûdüdýg ZÈejPeÈd=dþdÿ ZÉd dgZÊejPeÊd=dd ZËeÈeÊ ZÌejPeÌd=dd ZÍejPe jºe j»e j¾e j¿e j¼e j½gd=dd ZÎejPdd d
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d gd=d d ZÏejPddddddgd=dd ZÐddddgZÑejPeÑd=dd ZÒejPd d ZÓejPdd d d d!ZÔejPddd"d#ZÕdddØd$d%d&d'd(d)d*e e e d+e de d,e j e ed&d-e ed.d-dd/gZÖe:dk reÖ ×e: <d¡e: <d¡g¡ d0d« eÖD ZØe! ÙeÚeØ¡ejPeÖeØd7d1d2 ZÛe! ÙeÚeØd&d
¡ejPeÖd&d
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d7d3d4 ZÜeÜZÝd5d6e e e j gZÞe:dk r@eÞ ße: <d¡¡ ejPeÞd=d7d8 ZàeàZáejPe0jâd=d9d: ZãejPd¥ej]d§e! ^d;¡dYgd=d<d= ZäejPd>ej]d;e! ^d;¡dYgd=d?d@ ZåejPdAej]d;e! ^d;¡dYgd=dBdC ZæeåZçejPe0jèd=dDdE ZéejPe0jêd=dFdG ZëejPdHd¥ej]d§e! ^d;¡dYgd=dIdJ ZìejPe0jíd=dKdL ZîejPe0jïd=dMdN ZðejPdOddPdQZñejPe0jòd=dRdS ZóejPe0jôd=dTdU ZõejPe0jöd=dVdW Z÷ejPe0jød=dXdY ZùejPe0júd=dZd[ ZûejPe0jüd=d\d] ZýejPe0jþd=d^d_ ZÿejPe0j d=d`da ZejPe0jd=dbdc ZejPe0j e0jô d=ddde ZejPe0j e0jô e0j e0j d=dfdg ZejPe0jd=dhdi Z ejPe0j
|
d=djdk Z ejPe0j d=dldm Z ejPe0jd=dndo ZejPe0jd=dpdq Zdrdsejgdtgfdrdse&jdtgfdudse&jhdtgfdvdwejgdxgfdyejgejgejggfdyg fdzdsejgdgfdudsejgd{gfd|d}ejgd{gfd~d&ejgdgfdd&ejgd{gfde d&ejge dgfd¤dejgdgfd¤de&jdgfde d¡ejge d¡gfde,d
ejge,dgfdedd&d&ejgedd&d&gfded&ejgedgfded&ejgedgfde)de&jhe)dgfde(dd&ejge(ddgfgZee \ZZejPeed7dd ZejPdd ZejPdddddddgd=dd ZejPdd« e&jJjD d=dd ZejPddd6 gd=dd Z e P¡ d¡d¢ Z ejPd£d¤d¥ejgejgejgfejge&jhdfejge&jdfe&je&je&jfgd=d¦dd§d¨Z ejPe0j e0j e0j!gd=d©dª Z"ejPe0j e0j!gd=d«d¬ Z#ejPe0j e0j!gd=dd® Z$ejPe0j e0j gd=d¯d° Z%ejPe0j&e0j gd=d±d² Z'ejPe0j(e0j!gd=d³d´ Z)ejPdµdd¶d·Z*ejPdµdd¸d¹Z+dºd»gZ,e:dk r e, ße: <dº¡¡ ejPe,d=ddd¼d½Z-dS (¾ a
|
This file is very long and growing, but it was decided to not split it yet, as
|
it's still manageable (2020-03-17, ~1.1k LoC). See gh-31989
|
|
Instead of splitting it was decided to define sections here:
|
- Configuration / Settings
|
- Autouse fixtures
|
- Common arguments
|
- Missing values & co.
|
- Classes
|
- Indices
|
- Series'
|
- DataFrames
|
- Operators & Operations
|
- Data sets/files
|
- Time zones
|
- Dtypes
|
- Misc
|
é )Ú annotations)Úabc)ÚdateÚdatetimeÚtimeÚ timedeltaÚtimezone)ÚDecimalN)ÚCallableÚHashableÚIterator)ÚtzlocalÚtzutc)Ú
|
strategies)Ú FixedOffsetÚutc)ÚDatetimeTZDtypeÚ IntervalDtype)Ú DataFrameÚIntervalÚPeriodÚSeriesÚ TimedeltaÚ TimestampÚcompat)Úops)ÚIndexÚ
|
MultiIndexFTÚUTCÚNone©Úreturnc C sd | j dddd | j dddd | j dddd | j d dd
|
d | j d dd d | j d ddd d S )Nú --skip-slowÚ
|
store_truezskip slow tests)ÚactionÚhelpú--skip-networkzskip network testsú --skip-dbz skip db testsz--run-high-memoryzrun high memory testsú --only-slowzrun only slow testsú--strict-data-filesz0Fail if a test is skipped for missing data file.)Z addoption)Úparser© r+ úFd:\z\workplace\vscode\pyvenv\venv\Lib\site-packages\pandas/conftest.pyÚpytest_addoptionh s ÿýr- z pytest.ItemÚstr)ÚitemÚpathÚmessager! c C s( | j |¡r$| tj d| ¡¡ dS )a Ignore doctest warning.
|
|
Parameters
|
----------
|
item : pytest.Item
|
pytest test item.
|
path : str
|
Module path to Python object, e.g. "pandas.core.frame.DataFrame.append". A
|
warning will be filtered when item.name ends with in given path. So it is
|
sufficient to specify e.g. "DataFrame.append".
|
message : str
|
Message to be filtered.
|
zignore:N)ÚnameÚendswithÚ
|
add_markerÚpytestÚmarkÚfilterwarnings)r/ r0 r1 r+ r+ r, Úignore_doctest_warningw s r8 c C s. | d¡}| d¡}| d¡}| d¡}tjjd|dftjjd|dftjjd|dfg}d g}| D ]È}| d
|
¡s||j d d d r¨| tj d¡¡ |D ]\} }
|
t|| |
|
qd|j krÀ| tjj
|
¡ |D ]B\} } } }| |j krÄ| rü| tj d| ¡¡ q| | ¡ qÄ|r`d|j kr`| tj d¡¡ q`d S )Nr" r( r& r' ÚslowÚnetworkz --networkÚdb)zmissing.mask_zero_div_zerozdivide by zero encounteredz--doctest-modulesz--doctest-cythonF)ÚdefaultÚadd_doctest_importsz/frame/zskipping due to zskipping due to --only-slow) Ú getoptionr5 r6 r9 r: r; r4 Z usefixturesr8 ZnodeidZ arraymanagerÚkeywordsÚskip)ÚitemsÚconfigZ skip_slowZ only_slowZ skip_networkZskip_dbÚmarksZignored_doctest_warningsr/ r0 r1 r6 ZkwdZ skip_if_foundZarg_namer+ r+ r, Ú pytest_collection_modifyitems s8
|
|
|
|
ý
|
þ ÿ
|
|
rD Úci)ÚdeadlineZsuppress_health_checkz)MonthBegin MonthEnd BMonthBegin BMonthEndiÿÿÿéc )ÚnÚ normalizez%YearBegin YearEnd BYearBegin BYearEndéûÿÿÿé é é )Z min_valueZ max_value)rH rI Úmonthz1QuarterBegin QuarterEnd BQuarterBegin BQuarterEndièÿÿÿé )rH rI Z startingMonthc C s t | d< t| d< dS )z:
|
Make `np` and `pd` names available for doctests.
|
ÚnpÚpdN)rP rQ )Zdoctest_namespacer+ r+ r, r= é s r= )Zautousec C s t dd¡ dS )z<
|
Configure settings for all tests and test modules.
|
Zchained_assignmentÚraiseN)rQ Z
|
set_optionr+ r+ r+ r, Úconfigure_testsõ s rS ÚindexÚcolumnsc C s dt | S ©Nzaxis=©Úrepr©Úxr+ r+ r, Ú<lambda> ó r[ )ÚparamsÚidsc C s | j S )z@
|
Fixture for returning the axis numbers of a DataFrame.
|
©Úparam©Úrequestr+ r+ r, Úaxis s rc c C s dt | S rV rW rY r+ r+ r, r[ r\ c C s | j S )zA
|
Fixture for returning aliases of axis 1 of a DataFrame.
|
r_ ra r+ r+ r, Úaxis_1 s rd )r] c C s | j S )a
|
Pass in the observed keyword to groupby for [True, False]
|
This indicates whether categoricals should return values for
|
values which are not in the grouper [False / None], or only values which
|
appear in the grouper [True]. [None] is supported for future compatibility
|
if we decide to change the default (and would need to warn if this
|
parameter is not passed).
|
r_ ra r+ r+ r, Úobserved s
|
re c C s | j S )z6
|
Boolean 'ordered' parameter for Categorical.
|
r_ ra r+ r+ r, Úordered s rf c C s | j S )z%
|
Boolean 'skipna' parameter.
|
r_ ra r+ r+ r, Úskipna( s rg ÚfirstÚlastc C s | j S )z[
|
Valid values for the 'keep' parameter used in
|
.duplicated or .drop_duplicates
|
r_ ra r+ r+ r, Úkeep0 s rj ZbothZneitherÚleftÚrightc C s | j S )zA
|
Fixture for trying all interval 'inclusive' parameters.
|
r_ ra r+ r+ r, Úinclusive_endpoints_fixture9 s rm c C s | j S )z<
|
Fixture for trying all interval closed parameters.
|
r_ ra r+ r+ r, ÚclosedA s rn c C s | j S )zS
|
Secondary closed fixture to allow parametrizing over all pairs of closed.
|
r_ ra r+ r+ r, Ú other_closedI s ro ÚgzipÚbz2ÚzipÚxzÚtarZzstdZ zstandard)rC c C s | j S )zK
|
Fixture for trying common compression types in compression tests.
|
r_ ra r+ r+ r, Ú compressionQ s ru c C s | j S )zk
|
Fixture for trying common compression types in compression tests excluding
|
uncompressed case.
|
r_ ra r+ r+ r, Úcompression_onlyc s rv c C s | j S )z,
|
Fixture that an array is writable.
|
r_ ra r+ r+ r, Úwritableu s rw ÚinnerÚouterc C s | j S )z:
|
Fixture for trying all types of join operations.
|
r_ ra r+ r+ r, Ú join_type} s rz ÚnlargestÚ nsmallestc C s | j S )z1
|
Fixture for trying all nselect methods.
|
r_ ra r+ r+ r, Únselect_method
s r} c C s
|
t | jS ©N©ÚtypeÚ__name__rY r+ r+ r, r[ r\ c C s | j S )z/
|
Fixture for each null type in pandas.
|
r_ ra r+ r+ r, Ú nulls_fixture s r c C s | j S )zL
|
Fixture for each null type in pandas, each null type exactly once.
|
r_ ra r+ r+ r, Úunique_nulls_fixture s r c C s
|
t | jS r~ r rY r+ r+ r, r[ § r\ c C s | j S )z-
|
Fixture for each NaT type in numpy.
|
r_ ra r+ r+ r, Únp_nat_fixture§ s r c C s | j S )z;
|
Fixture to parametrize over DataFrame and Series.
|
r_ ra r+ r+ r, Úframe_or_series¸ s r
Úseriesc C s | j S )zÑ
|
Fixture to parametrize over Index and Series, made necessary by a mypy
|
bug, giving an error:
|
|
List item 0 has incompatible type "Type[Series]"; expected "Type[PandasObject]"
|
|
See GH#29725
|
r_ ra r+ r+ r, Úindex_or_seriesÀ s
|
r Úarrayc C s | j S )zG
|
Fixture to parametrize over Index, Series, and ExtensionArray
|
r_ ra r+ r+ r, Úindex_or_series_or_arrayÑ s r c C s | j S r~ )r rY r+ r+ r, r[ Ù r\ c C s | j S )z]
|
Fixture to test behavior for Index, Series, DataFrame, and pandas Array
|
classes
|
r_ ra r+ r+ r, Úbox_with_arrayÙ s r c C s G dd dt } | S )z,
|
Fixture for a dictionary subclass.
|
c @ s e Zd ZddddZdS )z"dict_subclass.<locals>.TestSubDictr r c _ s t j| f|| d S r~ )ÚdictÚ__init__)ÚselfÚargsÚkwargsr+ r+ r, r ì s z+dict_subclass.<locals>.TestSubDict.__init__N)r Ú
|
__module__Ú __qualname__r r+ r+ r+ r, Ú TestSubDictë s r )r )r r+ r+ r, Ú dict_subclasså s r c C s G dd dt j} | S )z8
|
Fixture for a non-mapping dictionary subclass.
|
c @ s> e Zd ZddddZdd Zdddd Zd
|
dd d Zd S )z5non_dict_mapping_subclass.<locals>.TestNonDictMappingr r c S s
|
|| _ d S r~ )Ú_data)r Zunderlying_dictr+ r+ r, r ù s z>non_dict_mapping_subclass.<locals>.TestNonDictMapping.__init__c S s | j |¡S r~ )r Ú __getitem__)r Úkeyr+ r+ r, r ü s zAnon_dict_mapping_subclass.<locals>.TestNonDictMapping.__getitem__r c S s
|
| j ¡ S r~ )r Ú__iter__©r r+ r+ r, r ÿ s z>non_dict_mapping_subclass.<locals>.TestNonDictMapping.__iter__Úintc S s
|
| j ¡ S r~ )r Ú__len__r r+ r+ r, r s z=non_dict_mapping_subclass.<locals>.TestNonDictMapping.__len__N)r r r r r r r r+ r+ r+ r, ÚTestNonDictMappingø s r )r ÚMapping)r r+ r+ r, Únon_dict_mapping_subclassò s r c C s` t d¡} | dd dd dd g¡ ¡ }|j dd |jjD ¡|_|jjdd d
|
gd d |S ) z
|
DataFrame with 3 level MultiIndex (year, month, day) covering
|
first 100 business days from 2000-01-01 with random data
|
éd c S s | j S r~ )ÚyearrY r+ r+ r, r[ r\ zAmultiindex_year_month_day_dataframe_random_data.<locals>.<lambda>c S s | j S r~ )rN rY r+ r+ r, r[ r\ c S s | j S r~ )ÚdayrY r+ r+ r, r[ r\ c S s g | ]}| d ¡qS )Úi8)Úastype)Ú.0Zlevr+ r+ r, Ú
|
<listcomp> s zCmultiindex_year_month_day_dataframe_random_data.<locals>.<listcomp>r rN r T)Zinplace)ÚtmZmakeTimeDataFrameÚgroupbyÚsumrT Z
|
set_levelsÚlevelsZ set_names)ZtdfZymdr+ r+ r, Ú/multiindex_year_month_day_dataframe_random_data s
|
|
r© r c C sP t ddddgdddggdddd d d
|
d
|
d d d g
|
dd d
|
dd d d
|
dd d
|
g
|
gd d gdS )z;
|
2-level MultiIndex, lexsorted, with string names.
|
ÚfooÚbarÚbazÚquxÚoneÚtwoÚthreer rL é é rh Úsecond)r¨ ÚcodesÚnames)r r+ r+ r+ r, Ú%lexsorted_two_level_string_multiindex s
|
.ýr¶ r c C s* | }t tj dd¡|tdddgdddS ) z2DataFrame with 2 level MultiIndex with random dataé
|
r² ÚAÚBÚCÚexp©r2 )rT rU )r rP ÚrandomÚrandnr )r¶ rT r+ r+ r, Ú multiindex_dataframe_random_data% s ÿr¿ c C sh t ddddg} t ddg}t dddd d
|
d
|
g¡}t ddddddg¡}d d g}t| |g||g|d dS )zJ
|
MultiIndex used to test the general functionality of this object
|
rª r« r¬ r r® r¯ r rL r± r² rh r³ F)r¨ r´ rµ Zverify_integrity)r rP r r )Z
|
major_axisZ
|
minor_axisZ major_codesZ minor_codesZ index_namesr+ r+ r, Ú_create_multiindex0 s ürÀ c C s. t jddgddgtjddddgd d
|
d gd S ) zB
|
MultiIndex with a level that is a tzaware DatetimeIndex.
|
rL r± ÚaÚbÚ20130101r² ú
|
US/Eastern)ZperiodsÚtzr® r¯ r° )rµ )r Z from_productrQ Z
|
date_ranger+ r+ r+ r, Ú _create_mi_with_dt64tz_levelD s þrÆ r z
|
US/Pacific)rÅ Úint8©ÚdtypeÚint16Úint32Úint64Úuint8Úuint16Úuint32Úuint64Úfloat32Úfloat64r· Ú complex64Ú
|
complex128rª r« r¬ r± r² ZInt64ZUInt16ZFloat32Úbooleanzstring[python]) Ústringr z datetime-tzÚperiodr ÚrangerÇ rÊ rË rÌ rÍ rÎ rÏ rÐ rÑ rÒ z bool-objectú
|
bool-dtyperÓ rÔ Z categoricalÚintervalÚemptyÚtuplesúmi-with-dt64tz-levelÚmultiÚrepeatsZ nullable_intZ nullable_uintZnullable_floatZ nullable_boolz string-pythonzstring[pyarrow]zstring-pyarrowc C s t | j ¡ S )zØ
|
Fixture for many "simple" kinds of indices.
|
|
These indices are unlikely to cover corner cases, e.g.
|
- no names
|
- no NaTs/NaNs
|
- no values near implementation bounds
|
- ...
|
)Ú indices_dictr` Úcopyra r+ r+ r, rT v s c C s g | ]\}}t |ts|qS r+ )Ú
|
isinstancer ©r£ r Úvaluer+ r+ r, r¤ s
|
r¤ c C s | j }t| ¡ S )z8
|
index fixture, but excluding MultiIndex cases.
|
)r` rà rá )rb r r+ r+ r, Ú
|
index_flat s rå c C sD g | ]<\}}| d ¡s| d¡s| d¡s|dkst|ts|qS )r ZuintÚfloat)rØ rÛ rß rÙ )Ú
|
startswithrâ r rã r+ r+ r, r¤ s
|
|
|
|
øc C s t | j jdd}|j}| jdkrd| ¡ }d|d dd
|d< d|d dd
|d< t |¡S d|d< d|d< t||S dS ) zÙ
|
Fixture for indices with missing values.
|
|
Integer-dtype and empty cases are excluded because they cannot hold missing
|
values.
|
|
MultiIndex is excluded because isna() is not defined for MultiIndex.
|
T©Údeep)rÜ rÝ rÞ r~ r rL Néÿÿÿÿ)rà r` rá ÚvaluesÚtolistr Ú from_tuplesr )rb ÚindÚvalsr+ r+ r, Úindex_with_missing s
|
|
rð r c C s t ¡ } d| _| S )zC
|
Fixture for Series of floats with Index of unique strings
|
r )r¥ ZmakeStringSeriesr2 ©Úsr+ r+ r, Ú string_seriesÄ s ró c C s t ¡ } d| _| S )zI
|
Fixture for Series of dtype object with Index of unique strings
|
Zobjects)r¥ ZmakeObjectSeriesr2 rñ r+ r+ r, Ú object_seriesÎ s rô c C s t ¡ } d| _| S )z9
|
Fixture for Series of floats with DatetimeIndex
|
Úts)r¥ ZmakeTimeSeriesr2 rñ r+ r+ r, Údatetime_seriesØ s rö c C s$ t | }tj |¡}t|| dddS )zHelper for the _series dictrÁ F)rT r2 rá )ÚlenrP r½ r¾ r )rT ÚsizeÚdatar+ r+ r, Ú_create_seriesâ s rú c C s" i | ]\}}d | dt |qS )z series-with-z-index©rú )r£ Zindex_idrT r+ r+ r, Ú
|
<dictcomp>é s ÿ
|
rü c C s t | S )zE
|
Fixture for tests on series with changing types of indices.
|
rû ©rT r+ r+ r, Úseries_with_simple_indexï s rþ c C s` ddddddddgddddddddgg} t | }t |¡}tj d¡}t||d}tj|d < |S )
|
z:
|
Fixture with a Series with a 2-level MultiIndex.
|
r« r¬ r rª r® r¯ é rý r² )rr r rí rP r½ r¾ r ÚNaN)ZarraysrÜ rT rù Zserr+ r+ r, Ú series_with_multilevel_index÷ s þ
|
|
r c C s$ i | ] }|j d tjd|dqS )z-seriesrÁ )r2 rÉ )r r¥ Zmake_rand_series)r£ rÉ r+ r+ r, rü s ÿ
|
c C s t | j jddS )z|
|
Fixture for tests on indexes, series and series with a narrow dtype
|
copy to avoid mutation, e.g. setting .name
|
Trè )Ú_index_or_series_objsr` rá ra r+ r+ r, Úindex_or_series_obj s r c C s t t ¡ d¡S )a6
|
Fixture for DataFrame of ints with index of unique strings
|
|
Columns are ['A', 'B', 'C', 'D']
|
|
A B C D
|
vpBeWjM651 1 0 1 0
|
5JyxmrP1En -1 0 0 0
|
qEDaoD49U2 -1 1 0 0
|
m66TkTfsFe 0 0 0 0
|
EHPaNzEUFm -1 0 -1 0
|
fpRJCevQhi 2 0 0 0
|
OlQvnmfi3Q 0 0 -2 0
|
... .. .. .. ..
|
uB1FPlz4uP 0 0 0 1
|
EcSe6yNzCU 0 0 -1 0
|
L50VudaiI8 -1 1 -2 0
|
y3bpw4nwIp 0 -1 0 0
|
H0RdLLwrCT 1 1 0 0
|
rY82K0vMwm 0 0 0 0
|
1OPIUjnkjk 2 0 0 0
|
|
[30 rows x 4 columns]
|
rÌ )r r¥ Ú getSeriesDatar¢ r+ r+ r+ r, Ú int_frame s r c C s t t ¡ S )aî
|
Fixture for DataFrame of floats with DatetimeIndex
|
|
Columns are ['A', 'B', 'C', 'D']
|
|
A B C D
|
2000-01-03 -1.122153 0.468535 0.122226 1.693711
|
2000-01-04 0.189378 0.486100 0.007864 -1.216052
|
2000-01-05 0.041401 -0.835752 -0.035279 -0.414357
|
2000-01-06 0.430050 0.894352 0.090719 0.036939
|
2000-01-07 -0.620982 -0.668211 -0.706153 1.466335
|
2000-01-10 -0.752633 0.328434 -0.815325 0.699674
|
2000-01-11 -2.236969 0.615737 -0.829076 -1.196106
|
... ... ... ... ...
|
2000-02-03 1.642618 -0.579288 0.046005 1.385249
|
2000-02-04 -0.544873 -1.160962 -0.284071 -1.418351
|
2000-02-07 -2.656149 -0.601387 1.410148 0.444150
|
2000-02-08 -1.201881 -1.289040 0.772992 -1.445300
|
2000-02-09 1.377373 0.398619 1.008453 -0.928207
|
2000-02-10 0.473194 -0.636677 0.984058 0.511519
|
2000-02-11 -0.965556 0.408313 -1.312844 -0.381948
|
|
[30 rows x 4 columns]
|
)r r¥ ZgetTimeSeriesDatar+ r+ r+ r, Údatetime_frame: s r c C s t t ¡ S )aù
|
Fixture for DataFrame of floats with index of unique strings
|
|
Columns are ['A', 'B', 'C', 'D'].
|
|
A B C D
|
P7GACiRnxd -0.465578 -0.361863 0.886172 -0.053465
|
qZKh6afn8n -0.466693 -0.373773 0.266873 1.673901
|
tkp0r6Qble 0.148691 -0.059051 0.174817 1.598433
|
wP70WOCtv8 0.133045 -0.581994 -0.992240 0.261651
|
M2AeYQMnCz -1.207959 -0.185775 0.588206 0.563938
|
QEPzyGDYDo -0.381843 -0.758281 0.502575 -0.565053
|
r78Jwns6dn -0.653707 0.883127 0.682199 0.206159
|
... ... ... ... ...
|
IHEGx9NO0T -0.277360 0.113021 -1.018314 0.196316
|
lPMj8K27FA -1.313667 -0.604776 -1.305618 -0.863999
|
qa66YMWQa5 1.110525 0.475310 -0.747865 0.032121
|
yOa0ATsmcE -0.431457 0.067094 0.096567 -0.264962
|
65znX3uRNG 1.528446 0.160416 -0.109635 -0.032987
|
eCOBvKqf3e 0.235281 1.622222 0.781255 0.392871
|
xSucinXxuV -1.263557 0.252799 -0.552247 0.400426
|
|
[30 rows x 4 columns]
|
)r r¥ r r+ r+ r+ r, Ú float_frameW s r c C s> t dddtjdgd ddtjdgd ddd t d¡d
|
S ) z
|
Fixture for DataFrame of float/int/string columns with RangeIndex
|
Columns are ['a', 'b', 'c', 'float32', 'int32'].
|
ç ð?r± rª r· rÑ rÈ rL rË )rÁ r ÚcrÑ rË rý )r rP r Úaranger+ r+ r+ r, Úmixed_type_framet s ûør c C s t dddt dddt dddt dddt dddt dddt dddt dddt dddt dddg
|
} ttj t| ¡| dS )zF
|
Fixture for Series with a DatetimeIndex that has duplicates.
|
iÐ rL r± r² é rK rý )r r rP r½ r¾ r÷ )Údatesr+ r+ r, Ú(rand_series_with_duplicate_datetimeindex s
|
|
|
|
|
|
|
|
|
|
ö r )rk rl g¹?g à?z2012-01ÚM)Úfreqz period[M]z
|
2012-02-01ÚDz period[D]z
|
2011-01-01rÄ iô )Úsecondsztimedelta64[ns]c C s | j S r~ r_ ra r+ r+ r, Úea_scalar_and_dtype s r Ú__add__Ú__radd__Ú__sub__Ú__rsub__Ú__mul__Ú__rmul__Ú __floordiv__Ú __rfloordiv__Ú __truediv__Ú __rtruediv__Ú__pow__Ú__rpow__Ú__mod__Ú__rmod__c C s | j S )zD
|
Fixture for dunder names for common arithmetic operations.
|
r_ ra r+ r+ r, Úall_arithmetic_operatorsÄ s r" c C s | j S )zU
|
Fixture for operator and roperator arithmetic, comparison, and logical ops.
|
r_ ra r+ r+ r, Úall_binary_operatorsÌ s "r# c C s | j S )z¬
|
Fixture for operator and roperator arithmetic functions.
|
|
Notes
|
-----
|
This includes divmod and rdivmod, whereas all_arithmetic_operators
|
does not.
|
r_ ra r+ r+ r, Úall_arithmetic_functionsñ s r$ Úcountr§ ÚmaxÚminZmeanÚprodZstdÚvarZmedianZkurtZskewZsemc C s | j S )z.
|
Fixture for numeric reduction names.
|
r_ ra r+ r+ r, Úall_numeric_reductions s r* ÚallÚanyc C s | j S )z.
|
Fixture for boolean reduction names.
|
r_ ra r+ r+ r, Úall_boolean_reductions* s r- c C s | j S )z>
|
Fixture for all (boolean + numeric) reduction names.
|
r_ ra r+ r+ r, Úall_reductions5 s r. c C s | j S )z;
|
Fixture for operator module comparison functions.
|
r_ ra r+ r+ r, Ú comparison_op= s r/ Ú__le__Ú__lt__Ú__ge__Ú__gt__c C s | j S )zm
|
Fixture for dunder names for compare operations except == and !=
|
|
* >=
|
* >
|
* <
|
* <=
|
r_ ra r+ r+ r, Úcompare_operators_no_eq_neN s
|
r4 Ú__and__Ú__rand__Ú__or__Ú__ror__Ú__xor__Ú__rxor__c C s | j S )zY
|
Fixture for dunder names for common logical operations
|
|
* |
|
* &
|
* ^
|
r_ ra r+ r+ r, Úall_logical_operators[ s r; ZcumsumZcumprodZcumminZcummaxc C s | j S )z0
|
Fixture for numeric accumulation names
|
r_ ra r+ r+ r, Úall_numeric_accumulationsl s r< c C s
|
| d¡S )zO
|
Returns the configuration for the test setting `--strict-data-files`.
|
r) )r> )Z pytestconfigr+ r+ r, Ústrict_data_filesw s r= zCallable[..., str])r= r! c s( t j t j t¡d¡ fdd}|S )a=
|
Get the path to a data file.
|
|
Parameters
|
----------
|
path : str
|
Path to the file, relative to ``pandas/tests/``
|
|
Returns
|
-------
|
path including ``pandas/tests``.
|
|
Raises
|
------
|
ValueError
|
If the path doesn't exist and the --strict-data-files option is set.
|
Útestsc sH t jj f| }t j |¡sDr2td| dt d| d¡ |S )NzCould not find file z and --strict-data-files is set.zCould not find Ú.)Úosr0 ÚjoinÚexistsÚ
|
ValueErrorr5 r@ )r r0 ©Z BASE_PATHr= r+ r, Údeco s
|
ÿzdatapath.<locals>.deco)r@ r0 rA ÚdirnameÚ__file__)r= rE r+ rD r, Údatapath s
|
rH c C s t | dddd¡S )z*
|
The iris dataset as a DataFrame.
|
Úiorù Úcsvziris.csv)rQ Zread_csv)rH r+ r+ r, Úiris¡ s rK z
|
Asia/Tokyozdateutil/US/Pacificzdateutil/Asia/Singaporez+01:15z-02:15z UTC+01:15z UTC-02:15i, iÔþÿÿ)Úhoursrê r¼ c C s g | ] }t |qS r+ rW )r£ Úir+ r+ r, r¤ Â s c C s | j S )zD
|
Fixture for trying timezones including default (None): {0}
|
r_ ra r+ r+ r, Útz_naive_fixtureÅ s rN c C s | j S )z4
|
Fixture for trying explicit timezones: {0}
|
r_ ra r+ r+ r, Útz_aware_fixtureÎ s rO r z dateutil/UTCc C s | j S )zQ
|
Fixture to provide variants of UTC timezone strings and tzinfo objects.
|
r_ ra r+ r+ r, Ú utc_fixtureà s rP c C s | j S )zR
|
Parametrized fixture for string dtypes.
|
|
* str
|
* 'str'
|
* 'U'
|
r_ ra r+ r+ r, Ú string_dtypeî s rQ Úpyarrowc C s | j S )za
|
Parametrized fixture for string dtypes.
|
|
* 'string[python]'
|
* 'string[pyarrow]'
|
r_ ra r+ r+ r, Únullable_string_dtypeú s rS Úpythonc C s | j S ©zb
|
Parametrized fixture for pd.options.mode.string_storage.
|
|
* 'python'
|
* 'pyarrow'
|
r_ ra r+ r+ r, Ústring_storage
|
s rV Znumpy_nullablec C s | j S rU r_ ra r+ r+ r, Ú dtype_backend s rW c C s | j S )zK
|
Parametrized fixture for bytes dtypes.
|
|
* bytes
|
* 'bytes'
|
r_ ra r+ r+ r, Ú bytes_dtype. s rX c C s | j S )zN
|
Parametrized fixture for object dtypes.
|
|
* object
|
* 'object'
|
r_ ra r+ r+ r, Ú object_dtype9 s rY Úobjectc C s | j S )zo
|
Parametrized fixture for string dtypes.
|
* 'object'
|
* 'string[python]'
|
* 'string[pyarrow]'
|
r_ ra r+ r+ r, Úany_string_dtypeD s r[ c C s | j S )z\
|
Parametrized fixture for datetime64 dtypes.
|
|
* 'datetime64[ns]'
|
* 'M8[ns]'
|
r_ ra r+ r+ r, Údatetime64_dtypeU s r\ c C s | j S )z^
|
Parametrized fixture for timedelta64 dtypes.
|
|
* 'timedelta64[ns]'
|
* 'm8[ns]'
|
r_ ra r+ r+ r, Útimedelta64_dtype` s r] r c C s t ddddddddS )z-
|
Fixture emits fixed Timestamp.now()
|
iå rL rM r é é )r rN r ÚhourÚminuter³ Ú microsecond)r r+ r+ r+ r, Ú fixed_now_tsk s ÿrc c C s | j S )z^
|
Parameterized fixture for float dtypes.
|
|
* float
|
* 'float32'
|
* 'float64'
|
r_ ra r+ r+ r, Úfloat_numpy_dtypeu s rd c C s | j S )zR
|
Parameterized fixture for float dtypes.
|
|
* 'Float32'
|
* 'Float64'
|
r_ ra r+ r+ r, Úfloat_ea_dtype s re c C s | j S )z~
|
Parameterized fixture for float dtypes.
|
|
* float
|
* 'float32'
|
* 'float64'
|
* 'Float32'
|
* 'Float64'
|
r_ ra r+ r+ r, Úany_float_dtype s rf c C s | j S )zg
|
Parameterized fixture for complex dtypes.
|
|
* complex
|
* 'complex64'
|
* 'complex128'
|
r_ ra r+ r+ r, Ú complex_dtype s rg c C s | j S )z|
|
Parameterized fixture for signed integer dtypes.
|
|
* int
|
* 'int8'
|
* 'int16'
|
* 'int32'
|
* 'int64'
|
r_ ra r+ r+ r, Úany_signed_int_numpy_dtype¦ s rh c C s | j S )zx
|
Parameterized fixture for unsigned integer dtypes.
|
|
* 'uint8'
|
* 'uint16'
|
* 'uint32'
|
* 'uint64'
|
r_ ra r+ r+ r, Ú any_unsigned_int_numpy_dtype´ s
|
ri c C s | j S )z³
|
Parameterized fixture for any integer dtype.
|
|
* int
|
* 'int8'
|
* 'uint8'
|
* 'int16'
|
* 'uint16'
|
* 'int32'
|
* 'uint32'
|
* 'int64'
|
* 'uint64'
|
r_ ra r+ r+ r, Úany_int_numpy_dtypeÁ s rj c C s | j S )z²
|
Parameterized fixture for any nullable integer dtype.
|
|
* 'UInt8'
|
* 'Int8'
|
* 'UInt16'
|
* 'Int16'
|
* 'UInt32'
|
* 'Int32'
|
* 'UInt64'
|
* 'Int64'
|
r_ ra r+ r+ r, Úany_int_ea_dtypeÓ s rk c C s | j S )a.
|
Parameterized fixture for any nullable integer dtype.
|
|
* int
|
* 'int8'
|
* 'uint8'
|
* 'int16'
|
* 'uint16'
|
* 'int32'
|
* 'uint32'
|
* 'int64'
|
* 'uint64'
|
* 'UInt8'
|
* 'Int8'
|
* 'UInt16'
|
* 'Int16'
|
* 'UInt32'
|
* 'Int32'
|
* 'UInt64'
|
* 'Int64'
|
r_ ra r+ r+ r, Ú any_int_dtypeä s rl c C s | j S )zî
|
Parameterized fixture for any nullable integer dtype and
|
any float ea dtypes.
|
|
* 'UInt8'
|
* 'Int8'
|
* 'UInt16'
|
* 'Int16'
|
* 'UInt32'
|
* 'Int32'
|
* 'UInt64'
|
* 'Int64'
|
* 'Float32'
|
* 'Float64'
|
r_ ra r+ r+ r, Úany_numeric_ea_dtypeþ s rm c C s | j S )aÚ
|
Parameterized fixture for any nullable integer dtype and
|
any float ea dtypes.
|
|
* 'UInt8'
|
* 'Int8'
|
* 'UInt16'
|
* 'Int16'
|
* 'UInt32'
|
* 'Int32'
|
* 'UInt64'
|
* 'Int64'
|
* 'Float32'
|
* 'Float64'
|
* 'uint8[pyarrow]'
|
* 'int8[pyarrow]'
|
* 'uint16[pyarrow]'
|
* 'int16[pyarrow]'
|
* 'uint32[pyarrow]'
|
* 'int32[pyarrow]'
|
* 'uint64[pyarrow]'
|
* 'int64[pyarrow]'
|
* 'float32[pyarrow]'
|
* 'float64[pyarrow]'
|
r_ ra r+ r+ r, Ú any_numeric_ea_and_arrow_dtype s rn c C s | j S )z~
|
Parameterized fixture for any signed nullable integer dtype.
|
|
* 'Int8'
|
* 'Int16'
|
* 'Int32'
|
* 'Int64'
|
r_ ra r+ r+ r, Úany_signed_int_ea_dtype7 s
|
ro c C s | j S )zí
|
Parameterized fixture for any (purely) real numeric dtype.
|
|
* int
|
* 'int8'
|
* 'uint8'
|
* 'int16'
|
* 'uint16'
|
* 'int32'
|
* 'uint32'
|
* 'int64'
|
* 'uint64'
|
* float
|
* 'float32'
|
* 'float64'
|
r_ ra r+ r+ r, Úany_real_numpy_dtypeD s rp c C s | j S )a
|
Parameterized fixture for any (purely) real numeric dtype.
|
|
* int
|
* 'int8'
|
* 'uint8'
|
* 'int16'
|
* 'uint16'
|
* 'int32'
|
* 'uint32'
|
* 'int64'
|
* 'uint64'
|
* float
|
* 'float32'
|
* 'float64'
|
|
and associated ea dtypes.
|
r_ ra r+ r+ r, Úany_real_numeric_dtypeY s rq c C s | j S )aÌ
|
Parameterized fixture for all numpy dtypes.
|
|
* bool
|
* 'bool'
|
* int
|
* 'int8'
|
* 'uint8'
|
* 'int16'
|
* 'uint16'
|
* 'int32'
|
* 'uint32'
|
* 'int64'
|
* 'uint64'
|
* float
|
* 'float32'
|
* 'float64'
|
* complex
|
* 'complex64'
|
* 'complex128'
|
* str
|
* 'str'
|
* 'U'
|
* bytes
|
* 'bytes'
|
* 'datetime64[ns]'
|
* 'M8[ns]'
|
* 'timedelta64[ns]'
|
* 'm8[ns]'
|
* object
|
* 'object'
|
r_ ra r+ r+ r, Úany_numpy_dtypep s "rr c C s | j S )a¥
|
Parameterized fixture for all numeric dtypes.
|
|
* int
|
* 'int8'
|
* 'uint8'
|
* 'int16'
|
* 'uint16'
|
* 'int32'
|
* 'uint32'
|
* 'int64'
|
* 'uint64'
|
* float
|
* 'float32'
|
* 'float64'
|
* complex
|
* 'complex64'
|
* 'complex128'
|
* 'UInt8'
|
* 'Int8'
|
* 'UInt16'
|
* 'Int16'
|
* 'UInt32'
|
* 'Int32'
|
* 'UInt64'
|
* 'Int64'
|
* 'Float32'
|
* 'Float64'
|
r_ ra r+ r+ r, Úany_numeric_dtype s rs rÖ rÁ r ÚmixedÚbytesó aó crÛ z mixed-integerg @Zfloatingr Úintegerzmixed-integer-floatÚdecimalÚ
|
datetime64z
|
2013-01-01z
|
2018-01-01r rà Z20180101r iÝ iâ r r r× rÚ c C s | j \}}tj|td}||fS )a
|
Fixture for all inferred dtypes from _libs.lib.infer_dtype
|
|
The covered (inferred) types are:
|
* 'string'
|
* 'empty'
|
* 'bytes'
|
* 'mixed'
|
* 'mixed-integer'
|
* 'mixed-integer-float'
|
* 'floating'
|
* 'integer'
|
* 'decimal'
|
* 'boolean'
|
* 'datetime64'
|
* 'datetime'
|
* 'date'
|
* 'timedelta'
|
* 'time'
|
* 'period'
|
* 'interval'
|
|
Returns
|
-------
|
inferred_dtype : str
|
The string for the inferred dtype from _libs.lib.infer_dtype
|
values : np.ndarray
|
An array of object dtype that will be inferred to have
|
`inferred_dtype`
|
|
Examples
|
--------
|
>>> from pandas._libs import lib
|
>>>
|
>>> def test_something(any_skipna_inferred_dtype):
|
... inferred_dtype, values = any_skipna_inferred_dtype
|
... # will pass
|
... assert lib.infer_dtype(values, skipna=True) == inferred_dtype
|
rÈ )r` rP r rZ )rb Zinferred_dtyperë r+ r+ r, Úany_skipna_inferred_dtypeÖ s )
|
r{ c C s> t jddd ddlm} ddlm} | }d|j_| |dS ) zj
|
Get an instance of IPython.InteractiveShell.
|
|
Will raise a skip if IPython is not installed.
|
ZIPythonz6.0.0)Z
|
minversionr )ÚInteractiveShell)ÚConfigz:memory:)rB )r5 Ú importorskipZ IPython.core.interactiveshellr| Ztraitlets.configr} ZHistoryManagerZ hist_file)r| r} r r+ r+ r, Úip s r ZbsrZcooZcscZcsrZdiaZdokZlilc C s ddl m} t|| jd S )z-
|
Yields scipy sparse matrix classes.
|
r )ÚsparseZ_matrix)Zscipyr Úgetattrr` )rb r r+ r+ r, Úspmatrix s r c C s6 g | ].}t ttj|tjjr|d krttj|qS )ÚTick)Ú
|
issubclassr rQ Úoffsetsr )r£ Úor+ r+ r, r¤ ' s þc C s | j S )zN
|
Fixture for Tick based datetime offsets available for a time series.
|
r_ ra r+ r+ r, Ú tick_classes& s r c C s | S r~ r+ rY r+ r+ r, r[ 4 r\ c C s | j S )zk
|
Simple fixture for testing keys in sorting methods.
|
Tests None (no key) and the identity key.
|
r_ ra r+ r+ r, Ú sort_by_key4 s r c c sx t d¡ ddlm} ddlm} ddlm} G dd d|}| d|d d
|
| V | dd ¡ d |j d< |j
|
¡ d S ) NÚfsspecr )Úregister_implementation)ÚMemoryFileSystem)Ú _registryc s, e Zd ZdZdgZdd fdd Z ZS )z fsspectest.<locals>.TestMemoryFSÚtestmemNr r c s$ | dd ¡| jd< t jf | d S )NÚtestr )Úpopr Úsuperr )r r ©Ú __class__r+ r, r H s z)fsspectest.<locals>.TestMemoryFS.__init__)r r r Úprotocolr r Ú __classcell__r+ r+ r r, Ú TestMemoryFSD s r r T)Úclobber) r5 r~ r r Z fsspec.implementations.memoryr Zfsspec.registryr r r ÚstoreÚclear)r r Úregistryr r+ r+ r, Ú
|
fsspectest= s
|
|
r )rª NN)ZEgonZVenkmanN)ÚNCC1701Dr r z#tuple[Hashable, Hashable, Hashable]c C s | j S )zP
|
A 3-tuple of names, the first two for operands, the last for a result.
|
r_ ra r+ r+ r, rµ S s rµ c C s | j S )zI
|
Parametrize over __setitem__, loc.__setitem__, iloc.__setitem__
|
r_ ra r+ r+ r, Ú indexer_slif s r c C s | j S )z<
|
Parametrize over loc.__getitem__, iloc.__getitem__
|
r_ ra r+ r+ r, Ú
|
indexer_lin s r c C s | j S )z8
|
Parametrize over __setitem__, iloc.__setitem__
|
r_ ra r+ r+ r, Ú
|
indexer_siv s r c C s | j S )z7
|
Parametrize over __setitem__, loc.__setitem__
|
r_ ra r+ r+ r, Ú
|
indexer_sl~ s r c C s | j S )z:
|
Parametrize over at.__setitem__, loc.__setitem__
|
r_ ra r+ r+ r, Ú
|
indexer_al s r c C s | j S )z<
|
Parametrize over iat.__setitem__, iloc.__setitem__
|
r_ ra r+ r+ r, Ú indexer_ial s r¡ Úboolc C s t jjjdkS )z>
|
Fixture to check if the array manager is being used.
|
r )rQ ÚoptionsÚmodeÚ data_managerr+ r+ r+ r, Úusing_array_manager s r¦ c C s t jjjot jjjdkS )z7
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Fixture to check if Copy-on-Write is enabled.
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