ujAdZddlmZddlmZmZddlZddlm Z ddl m Z m Z ddl mZddlmZer dd lmZdd lmZd d Z dd Zy)z% Implementation of DataFrame.select. ) annotations) TYPE_CHECKINGAnyN) is_list_like) ABCDataFrame ABCSeries)common) Expression)Hashable) DataFramecddt|dk(r|drt|dStfd|Dr tdt|S)a] Parse the positional arguments of DataFrame.select. A single list-like argument (other than a tuple, which is a single column label) is treated as the sequence of items to select; otherwise each argument is one item. Mixing a sequence with other positional arguments raises, as do sets, whose iteration order is undefined. ct|ttfr tdt|tt f xr t |S)Nze`select` does not support sets, as the resulting column order would be undefined; pass a list instead) isinstanceset frozenset TypeErrortupler r)args e/var/www/html/python-recuperauto-other/env/lib/python3.12/site-packages/pandas/core/methods/select.py is_sequencez'_parse_select_args..is_sequence'sE cC+ ,@ cE:#677MLz%_parse_select_args..1s ,;s  ,sz`select` supports individual columns `df.select('col1', 'col2', ...)` or a single list `df.select(['col1', 'col2', ...])`, but not both. You can unpack the list if you have a mix: `df.select(*['col1', 'col2'], 'col3')`.)robjectreturnbool)lenlistanyr)argsrs @r_parse_select_argsr$s[N 4yA~+d1g.DG} ,t ,, 6   :rc Tddlm}t|}|jj}|j dgggdfd }dfd }|D]}t |tr_||j} t | tr| jtd|d |d kDrSt | jtrt| j|k7r!td|d | jd |d ||| j| t | tr{| jj|k7r)td|d| jjd|dt| jD]\} } || | j dd| f!Otd|dt#| j$d|d kDr-r+t |tt dtk7r|j'|||j)D]<\} } |d kDrtd| d|d|d|| t+j,| >s|j ddddfS|d } jj/| _| S)z- Implementation of DataFrame.select. r)concatF)deepcrcjjdd}jj|dj |j yy)Ncolumnsraxis)r)_get_indexer_strictappendtakeextendclear)indexerchunksdatalabels positionss r flush_labelszselect..flush_labelsPsV ll66vyI!LG MM$))G!)4 5   W % LLN rc|jvrjj|nd}|t|tr"||<|t jdz n|}nIt j t j|}|D]}j|||d}jjdd||dzfj|y)Nrr) r)get_locrintr nparangeisetitemr-iloc) namevaluelocposlocsir2r3r5s r set_columnzselect..set_columnWs,0DLL,@dll""4(d ;*S#.DJ+.;#dll#a'CC 99S./4D ( a' (q'C dii3q= 012rNz expression z] evaluated to an unnamed Series; use .rename(...) to name it or pass it as a keyword argumentrz evaluated to a Series named z#, but the DataFrame's columns have z1 levels; use .rename(...) with a tuple of length z- evaluated to a DataFrame whose columns have z* levels, but the DataFrame's columns have z levelsz evaluated to an object of type zG, expected a Series or DataFrame; pass it as a keyword argument insteadzcannot create column z7 from a keyword argument: the DataFrame's columns have z6 levels, so new column names must be tuples of length z8; pass a positional expression with .rename(...) insteadr*)rNone)r>r r?rrrF)pandas.core.reshape.concatr&r$r)nlevelscopyrr _eval_expressionrr>rrr r enumerater=type__name__r-itemscomapply_if_callabler.)df select_args select_kwargsr&rNrHr6rDitemresultrCr>keyr?r2r3r4r5s @@@@rselectrW<s 2 { +Ejj  G 777 D FFI$.  dJ ' N**40F&),;;&#%dX.00 Q;"6;;6#fkk:Jg:U#%dX.!!'0((/y1??FiI 6;;/FL1>>))W4#%dX...4nn.D.D-EFD")7, )88GAttV[[A%678 !$)IF|,,-.GG! tU+z&*e/LL MM$ ]. ^N#))+< U Q;'w/007y999@ BDD  3--eT:;< wwq"1"u~ F #F\\&&y1FN Mr)r#tuple[Any, ...]rz list[Any])rQr rRrXrSzdict[str, object]rr )__doc__ __future__rtypingrrnumpyr:pandas.core.dtypes.commonrpandas.core.dtypes.genericrr pandas.corer rOpandas.core.colr collections.abcr pandasr r$rWrrrrcsa# 2 &&( >nn /n@Qnnr