Файловый менеджер - Редактировать - /home/digitalm/venv/lib/python3.7/site-packages/pandas/compat/numpy/__pycache__/function.cpython-37.pyc
Назад
B �5�g�2 � @ sJ U d Z ddlmZ ddlmZ ddlmZ ddlmZm Z ddl m Z ddl m Z mZmZ G dd � d �Zd d iZeed d dd�Zeedd dd�Zdd� Zdd� Zdd� Zi Zded< ded< ded < d ed < d ed < eed dd d �Zi Zd ed!< ded< d ed < eed dd d �Zd"d#� Z d d iZ d$ed%< ee d&d d'd�Z d(d)� Z i Z d$ed*< d e d+< d e d < ee d dd,�Z!ee d-d dd�Z"d.d/� Z#i Z$d0ed1< d e$d+< d e$d < d2e$d3< d e$d< ee$d4d dd�Z%ee$d5d dd�Z&d d2d6�Z'ee'd7d8�Z(d d d2d9�Z)ee)d:d dd�Z*ee)d;d dd�Z+d d<iZ,d=ed>< ee,d?d dd�Z-dd iZ.d$ed@< ee.dAd dd�Z/d d iZ0d$edB< ee0dCd dd�Z1i Z2dedD< de2d< de2d < d e2d < ee2dEd7dF�Z3i Z4dGedH< d e4d+< d e4d < e4�5� Z6d e6d< d2e6d3< d e6dI< e4�5� Z7d e7d< d2e7d3< d e7dI< e4�5� Z8d2e8dJ< d2e8d3< d2e4d3< ee4d7d8�Z9ee6dKd dd�Z:ee7dLd dd�Z;ee4dMd dd�Z<ee8dNd dd�Z=i Z>d0edO< d e>d+< d e>d < d2e>d3< ee>d7d8�Z?i Z@dPedQ< d e@d < dRe@dS< ee@dTd7dF�ZAdUdV� ZBdWd iZCeeCdXd dd�ZDdYdZ�d[d\�ZEdYdZ�d]d^�ZFdYdZ�d_d`�ZGdmdYdZ�dadb�ZHdcZIdddYde�dfdg�ZJdndhdidYdj�dkdl�ZKd S )oa� For compatibility with numpy libraries, pandas functions or methods have to accept '*args' and '**kwargs' parameters to accommodate numpy arguments that are not actually used or respected in the pandas implementation. To ensure that users do not abuse these parameters, validation is performed in 'validators.py' to make sure that any extra parameters passed correspond ONLY to those in the numpy signature. Part of that validation includes whether or not the user attempted to pass in non-default values for these extraneous parameters. As we want to discourage users from relying on these parameters when calling the pandas implementation, we want them only to pass in the default values for these parameters. This module provides a set of commonly used default arguments for functions and methods that are spread throughout the codebase. This module will make it easier to adjust to future upstream changes in the analogous numpy signatures. � )� annotations)�Any)�ndarray)�is_bool� is_integer)�UnsupportedFunctionCall)� validate_args�validate_args_and_kwargs�validate_kwargsc @ s. e Zd Zd dd�dd�Zd ddd�dd �ZdS ) �CompatValidatorNz str | None)�methodc C s || _ || _|| _|| _d S )N)�fnamer �defaults�max_fname_arg_count)�selfr r r r � r �R/home/digitalm-up/venv/lib/python3.7/site-packages/pandas/compat/numpy/function.py�__init__% s zCompatValidator.__init__�None)r �returnc C s� |s|r�|d kr| j n|}|d kr(| jn|}|d kr:| jn|}|dkrXt|||| j� nD|dkrpt||| j� n,|dkr�t||||| j� ntd|� d���d S )N�args�kwargs�bothzinvalid validation method '�')r r r r r r r � ValueError)r r r r r r r r r �__call__1 s zCompatValidator.__call__)NNN)NNN)�__name__� __module__� __qualname__r r r r r r r $ s r �outNZargminr � )r r r Zargmaxc C s( t | t�s| d kr | f| }d} | |fS )NT)� isinstancer )�skipnar r r r �process_skipnaW s r# c C s t | |�\} }t||� | S )a If 'Series.argmin' is called via the 'numpy' library, the third parameter in its signature is 'out', which takes either an ndarray or 'None', so check if the 'skipna' parameter is either an instance of ndarray or is None, since 'skipna' itself should be a boolean )r# �validate_argmin)r" r r r r r �validate_argmin_with_skipna_ s r% c C s t | |�\} }t||� | S )a If 'Series.argmax' is called via the 'numpy' library, the third parameter in its signature is 'out', which takes either an ndarray or 'None', so check if the 'skipna' parameter is either an instance of ndarray or is None, since 'skipna' itself should be a boolean )r# �validate_argmax)r" r r r r r �validate_argmax_with_skipnak s r' zdict[str, int | str | None]�ARGSORT_DEFAULTS����axisZ quicksort�kind�orderZargsort)r r r zdict[str, int | None]�ARGSORT_DEFAULTS_KINDc C s0 t | �s| dkr | f| }d} t||dd� | S )a! If 'Categorical.argsort' is called via the 'numpy' library, the first parameter in its signature is 'axis', which takes either an integer or 'None', so check if the 'ascending' parameter has either integer type or is None, since 'ascending' itself should be a boolean NT� )r )r �validate_argsort_kind)Z ascendingr r r r r � validate_argsort_with_ascending� s r0 zdict[str, Any]� CLIP_DEFAULTSZclipr. c C s& t | t�r| f| }d} t||� | S )a If 'NDFrame.clip' is called via the numpy library, the third parameter in its signature is 'out', which can takes an ndarray, so check if the 'axis' parameter is an instance of ndarray, since 'axis' itself should either be an integer or None N)r! r � validate_clip)r* r r r r r �validate_clip_with_axis� s r3 �CUM_FUNC_DEFAULTS�dtype)r r Zcumsumc C s( t | �s| f| }d} t|||d� | S )z� If this function is called via the 'numpy' library, the third parameter in its signature is 'dtype', which takes either a 'numpy' dtype or 'None', so check if the 'skipna' parameter is a boolean or not T)r )r �validate_cum_func)r" r r �namer r r � validate_cum_func_with_skipna� s r8 zdict[str, bool | None]�ALLANY_DEFAULTSF�keepdims�all�any)r r: r )r )r* r r: �min�max�Czdict[str, str]�RESHAPE_DEFAULTSZreshape�REPEAT_DEFAULTS�repeat�ROUND_DEFAULTS�round� SORT_DEFAULTS�sort)r r zdict[str, Any | None]�STAT_FUNC_DEFAULTS�initialZoverwrite_input�sum�prod�meanZmedian�STAT_DDOF_FUNC_DEFAULTSzdict[str, str | None]� TAKE_DEFAULTS�raise�modeZtakec C s4 t | t�s| dkr | f| }d} t||ddd� | S )z� If this function is called via the 'numpy' library, the third parameter in its signature is 'axis', which takes either an ndarray or 'None', so check if the 'convert' parameter is either an instance of ndarray or is None NTr. r )r r )r! r � validate_take)�convertr r r r r �validate_take_with_convert# s rR ZaxesZ transposer )r c C sF d}d| � d�}t |�dkr$t|��x |D ]}||kr*t|��q*W d S )N)r* r5 r z9numpy operations are not valid with window objects. Use .z() directly instead r )�lenr )r7 r r � numpy_args�msg�argr r r �validate_window_func7 s rW c C sF d}d| � d�}t |�dkr$t|��x |D ]}||kr*t|��q*W d S )N)r* r5 r zFnumpy operations are not valid with window objects. Use .rolling(...).z () instead r )rS r )r7 r r rT rU rV r r r �validate_rolling_funcF s rX c C sF d}d| � d�}t |�dkr$t|��x |D ]}||kr*t|��q*W d S )N)r* r5 r zHnumpy operations are not valid with window objects. Use .expanding(...).z () instead r )rS r )r7 r r rT rU rV r r r �validate_expanding_funcU s rY c C sD |dkr g }t |�t |� }t|�t|� dkr@td| � d���dS )z� 'args' and 'kwargs' should be empty, except for allowed kwargs because all of their necessary parameters are explicitly listed in the function signature Nr z?numpy operations are not valid with groupby. Use .groupby(...).z () instead)�setrS r )r7 r r �allowedr r r �validate_groupby_funcd s r\ )r= r> rI rJ rK Zstd�var�str)r r c C s: t |�t |� dkr6| tkr.td| � d���ntd��dS )z� 'args' and 'kwargs' should be empty because all of their necessary parameters are explicitly listed in the function signature r zAnumpy operations are not valid with resample. Use .resample(...).z () insteadz too many arguments passed inN)rS �RESAMPLER_NUMPY_OPSr � TypeError)r r r r r r �validate_resampler_funcy s ra z int | None�int)r* �ndimr c C s< | dkr dS | |ks(| dk r8|| dk r8t d|� d���dS )a Ensure that the axis argument passed to min, max, argmin, or argmax is zero or None, as otherwise it will be incorrectly ignored. Parameters ---------- axis : int or None ndim : int, default 1 Raises ------ ValueError Nr z4`axis` must be fewer than the number of dimensions (�))r )r* rc r r r �validate_minmax_axis� s re )N)r )L�__doc__� __future__r �typingr �numpyr Zpandas._libs.libr r Z pandas.errorsr Zpandas.util._validatorsr r r r ZARGMINMAX_DEFAULTSr$ r& r# r% r' r( �__annotations__Zvalidate_argsortr- r/ r0 r1 r2 r3 r4 r6 Zvalidate_cumsumr8 r9 Z validate_allZ validate_anyZLOGICAL_FUNC_DEFAULTSZvalidate_logical_funcZMINMAX_DEFAULTSZ validate_minZ validate_maxr@ Zvalidate_reshaperA Zvalidate_repeatrC Zvalidate_roundrE Z validate_sortrG �copyZ SUM_DEFAULTSZ PROD_DEFAULTSZMEDIAN_DEFAULTSZvalidate_stat_funcZ validate_sumZ validate_prodZ validate_meanZvalidate_medianrL Zvalidate_stat_ddof_funcrM rP rR ZTRANSPOSE_DEFAULTSZvalidate_transposerW rX rY r\ r_ ra re r r r r �<module> s� *
| ver. 1.4 |
Github
|
.
| PHP 8.3.23 | Генерация страницы: 0.03 |
proxy
|
phpinfo
|
Настройка