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B �5�gߊ � @ s d dl mZ d dlZd dlZd dlmZmZmZmZm Z m Z m Z d dl Z d dl Zd dlmZ d dlmZ d dlmZmZmZmZmZmZmZ d dlm Z d dl m Z d d l m Z m!Z!m"Z"m#Z# d d l$m%Z%m&Z&m'Z' d d l(m)Z) d d l*m+Z+m,Z,m-Z- d dl.m/ m0Z1 d d l2m3Z4m5Z5m6Z6 e�rTd dl7m8Z8m9Z9m:Z: d dl;m<Z< d dl=m>Z> d dl?m@Z@ eeAef ZBd,ddddddd�dd�ZCG d d � d ejDd �ZEG d d � d eE�ZFG d!d� deF�ZGG d"d#� d#eG�ZHG d$d%� d%eG�ZIG d&d'� d'eF�ZJG d(d)� d)eE�ZKG d*d+� d+eE�ZLdS )-� )� annotationsN)� TYPE_CHECKING�Any�Dict�Hashable�Iterator�List�cast)�option_context)�lib)� AggFuncType�AggFuncTypeBase�AggFuncTypeDict� AggObjType�Axis� FrameOrSeries�FrameOrSeriesUnion)�cache_readonly)�is_nested_object)� is_dict_like�is_extension_array_dtype� is_list_like� is_sequence)� ABCDataFrame� ABCNDFrame� ABCSeries)� safe_sort)� DataError�SelectionMixin�SpecificationError)�array�!create_series_with_explicit_dtype� ensure_wrapped_if_datetimelike)� DataFrame�Index�Series)�GroupBy)� Resampler)� BaseWindowFr# r r �boolz str | None� FrameApply)�obj�func�axis�raw� result_type�returnc C s8 | � |�}|dkrt}n |dkr$t}|| |||||d�S )z=construct and return a row or column based frame apply objectr � )r. r/ �args�kwargs)�_get_axis_number� FrameRowApply�FrameColumnApply)r+ r, r- r. r/ r2 r3 �klass� r8 �G/home/digitalm-up/venv/lib/python3.7/site-packages/pandas/core/apply.py� frame_applyG s r: c @ s� e Zd ZU ded< dddd�dd�Zejd d �d d ��Zd d �dd�Zd d �dd�Z dd� Z d d �dd�Z d d �dd�Z d d �dd�Z d d �dd�Zd d �d d �Zd d d d d �d!d"�Zd d#�d$d%�Zd&S )'�Apply�intr- r r) z str | None)r+ r. r/ c s| || _ || _� pd| _�p i | _|dkr0td��|| _�s>� rht�tjt f�sht ��sh� ��fdd�}n�}�| _ || _ d S )Nr8 )N�reduce� broadcast�expandzUinvalid value for result_type, must be one of {None, 'reduce', 'broadcast', 'expand'}c s �| f� ���S )Nr8 )�x)r2 r, r3 r8 r9 �f� s zApply.__init__.<locals>.f) r+ r. r2 r3 � ValueErrorr/ � isinstance�np�ufunc�strr �orig_frA )�selfr+ r, r. r/ r2 r3 rA r8 )r2 r, r3 r9 �__init__e s zApply.__init__r )r0 c C s d S )Nr8 )rH r8 r8 r9 �apply� s z Apply.applyzFrameOrSeriesUnion | Nonec C sx | j }| j}| j}| j}t|t�r*| �� S t|�r:| �� S t |�rJ| � � S t |�rtt � |�}|rt|st|stt||�� S dS )z� Provide an implementation for the aggregators. Returns ------- Result of aggregation, or None if agg cannot be performed by this method. N)r+ rA r2 r3 rC rF � apply_strr � agg_dict_liker � agg_list_like�callable�com�get_cython_func�getattr)rH r+ �argr2 r3 rA r8 r8 r9 �agg� s z Apply.aggc sf | j }| j� | j}| j}| j}|jdk}|�|�dkrV|r>t�|jj � df|�|�jS t � �r�t � �s�t t t � �� |r�dd� � D �� n� fdd�|D �� t � �r�t t� �� | �� �S t t� �� y| �� �}W nB tk r� � Y n. tk �r } ztd�|�W dd}~X Y nX t|ttf��r:|j�r:|j�s:td��t|ttf��rZ|j�|j��sbtd��|S ) aI Transform a DataFrame or Series. Returns ------- DataFrame or Series Result of applying ``func`` along the given axis of the Series or DataFrame. Raises ------ ValueError If the transform function fails or does not transform. r1 r c S s i | ]}|t �|�p|�qS r8 )rO �get_callable_name)�.0�vr8 r8 r9 � <dictcomp>� s z#Apply.transform.<locals>.<dictcomp>c s i | ] }� |�qS r8 r8 )rU �col)r, r8 r9 rW � s zTransform function failedNzFunction did not transform)r+ rG r- r2 r3 �ndimr4 �AssertionError�T� transformr r r r r r �transform_dict_like�transform_str_or_callable� TypeError� ExceptionrB rC r r �empty�index�equals)rH r+ r- r2 r3 Z is_series�result�errr8 )r, r9 r\ � s@ zApply.transformc C s2 ddl m} | j}| j}| j}t|t�s,t�t|�dkr@t d��| � d||�}i }g }d}x�|� � D ]�\} } |j | dd�} y | j | df|�|�|| < W qd tk r� } z.t| �dkr�| �nt| t�s�d }|�| � W d d } ~ X Y qdX qdW |�s|r�tnt } | d ��t|�dk�r&tj|� d �td d� ||dd�S )zC Compute transform in the case of a dict-like func r )�concatz$No transform functions were providedr\ Tr1 )rY > �$No transform functions were provided�Function did not transformFNzTransform function failedz� did not transform successfully and did not raise a TypeError. If any error is raised except for TypeError, this will raise in a future version of pandas. Drop these columns/ops to avoid this warning.� )� stacklevel)r- )�pandas.core.reshape.concatrf r+ r2 r3 rC r rZ �lenrB �normalize_dictlike_arg�items�_gotitemr\ r` rF r_ �append�warnings�warn� FutureWarning)rH r, rf r+ r2 r3 �resultsZ failed_namesZall_type_errors�name�how�colgre r7 r8 r8 r9 r] � s< zApply.transform_dict_likec C s� | j }| j}| j}t|t�r0| j||f|�|�S |sR|sRt�|�}|rRt||�� S y|j |fd|i|��S t k r� ||f|�|�S X dS )zL Compute transform in the case of a string or callable func r2 N) r+ r2 r3 rC rF � _try_aggregate_string_functionrO rP rQ rJ r` )rH r, r+ r2 r3 rA r8 r8 r9 r^ s z Apply.transform_str_or_callablec s8 ddl m} | j}ttt | j�}t|t�s2|}n|j j dkrF|j }n|j }g }g }|j dkr�xd|D ]\}|j |j d|d�}y|�|�} W n tk r� Y qdX |�| � t�|�p�|} |�| � qdW n�g } x�t|�D ]�\} } |j | d|jdd�| f d�}y|�|�} W n^ ttfk �r" Y q� tk �rf } z&dt|�k�rDndt|�k�rTn� W dd}~X Y q�X |�| � | �| � q�W |j�| �}t|��s�td��y|||ddd �}W nT tk �r } z4dd lm } ||||j d �}t |��r�td �|�|S d}~X Y n.X |j j � t � fd d�|D ��}|j!|dd�S dS )z� Compute aggregation in the case of a list-like argument. Returns ------- Result of aggregation. r )rf r1 )rY ZsubsetNz Must produce aggregated valuez no resultsF)�keysr- �sort)r% )rb ru z3cannot combine transform and aggregation operationsc 3 s | ]}|j j� kr|j V qd S )N)rb �size)rU rd )� index_sizer8 r9 � <genexpr>� s z&Apply.agg_list_like.<locals>.<genexpr>)�copy)"rk rf r+ r r r rA rC r � _selected_objrY Z_obj_with_exclusionsro ru � aggregater_ rp rO rT � enumerateZilocr rB rF �columnsZtakerl �pandasr% r rb r{ �nextZreindex)rH rf r+ rR � selected_objrt ry �arw Znew_resru �indicesrb rX re Z concatenatedr% rd Zfull_ordered_indexr8 )r| r9 rM 4 sh zApply.agg_list_likec s� ddl m} ddlm} | j�tt| j�}t�t �s>�}d}n �j }�j }| � d||�}|j dkr��j|dd�� � fdd �|�� D ��n�fd d �|�� D ��t|�� �}d d � ��� D �}t|��r@�fd d �|D �}|g kr�|n|}|j dk�r||�} | �|jj� | }t�t��r dnd} |�fdd �|D �| |d�} nNt|��rTtd��n:ddl m} �j dk�r~td����j} nd} | �| d�} | S )z� Compute aggregation in the case of a dict-like argument. Returns ------- Result of aggregation. r )r$ )rf NrS r1 )rY c s i | ]\}}� � |�|�qS r8 )rS )rU �keyrv )rw r8 r9 rW � s z'Apply.agg_dict_like.<locals>.<dictcomp>c s& i | ] \}}� j |d d��|�|�qS )r1 )rY )ro rS )rU r� rv )r+ r8 r9 rW � s c S s g | ]}t |t��qS r8 )rC r )rU �rr8 r8 r9 � <listcomp>� s z'Apply.agg_dict_like.<locals>.<listcomp>c s g | ]}� | j s|�qS r8 )ra )rU �k)rt r8 r9 r� � s � c s i | ]}� | |�qS r8 r8 )rU r� )rt r8 r9 rW � s )r- ry zLcannot perform both aggregation and transformation operations simultaneously)r% r% )ru ) r� r$ rk rf r+ r r rA rC r r Z _selectionrm rY ro rn �listry �values�allZ _set_namesr� �namesr �anyrB r% ru )rH r$ rf rR r� Z selectionry Z is_ndframeZ keys_to_useZktur- rd r% ru r8 )rw r+ rt r9 rL � sJ zApply.agg_dict_likec C sz t t| j�}| j}t||d�}t|�rbt�|�}d|jkrH| j | j d< n| j dkrbt d|� d���| j ||f| j�| j �S )zy Compute apply in case of a string. Returns ------- result: Series or DataFrame Nr- r z Operation z does not support axis=1) r rF rA r+ rQ rN �inspect�getfullargspecr2 r- r3 rB rx )rH rA r+ r, �sigr8 r8 r9 rK � s zApply.apply_strc C s | j j| j| jf| j�| j�S )z� Compute apply in case of a list-like or dict-like. Returns ------- result: Series, DataFrame, or None Result when self.f is a list-like or dict-like, None otherwise. )r+ r� rA r- r2 r3 )rH r8 r8 r9 �apply_multiple� s zApply.apply_multiplerF r )rv r+ r, r0 c s� |dks t �|dkr4t|t�r4tdd� |�� D ��sJtdd� |�� D ��rRtd��|jdkr�t|�� �t|j � }t |�dkr�t t t |���}t d |� d ���d d � � t� fd d�|�� D ��r�i }x0|�� D ]$\}}� |�s�|g||< q�|||< q�W |}|S )a Handler for dict-like argument. Ensures that necessary columns exist if obj is a DataFrame, and that a nested renamer is not passed. Also normalizes to all lists when values consists of a mix of list and non-lists. )rJ rS r\ rS c s s | ]\}}t |�V qd S )N)r )rU �_rV r8 r8 r9 r} s z/Apply.normalize_dictlike_arg.<locals>.<genexpr>c s s | ]\}}t |�V qd S )N)r )rU r� rV r8 r8 r9 r} s z nested renamer is not supportedr1 r z Column(s) z do not existc S s t | tttf�S )N)rC r� �tuple�dict)r@ r8 r8 r9 �<lambda>$ � z.Apply.normalize_dictlike_arg.<locals>.<lambda>c 3 s | ]\}}� |�V qd S )Nr8 )rU r� r@ )� is_aggregatorr8 r9 r} * s )rZ rC r r� rn r rY �setry r� rl r� r �KeyError) rH rv r+ r, �colsZ cols_sorted�new_funcr� rV r8 )r� r9 rm s( z Apply.normalize_dictlike_arg)rR c O s� t |t�st�t||d�}|dk rbt|�r4|||�S t|�dksDt�tdd� |D ��dks^t�|S tt|d�}|dk r�t|d�r�||f|�|�S td|� dt |�j � d���dS ) z� if arg is a string, then try to operate on it: - try to find a function (or attribute) on ourselves - try to find a numpy function - raise Nr c S s g | ]}|d kr|�qS ))r- r8 )rU �kwargr8 r8 r9 r� F s z8Apply._try_aggregate_string_function.<locals>.<listcomp>Z __array__�'z ' is not a valid function for 'z' object) rC rF rZ rQ rN rl rD �hasattr�AttributeError�type�__name__)rH r+ rR r2 r3 rA r8 r8 r9 rx 5 s z$Apply._try_aggregate_string_functionN)r� � __module__� __qualname__�__annotations__rI �abc�abstractmethodrJ rS r\ r] r^ rM rL rK r� rm rx r8 r8 r8 r9 r; b s & ?1aO -r; )� metaclassc @ s4 e Zd ZdZedd�dd��Zedd�dd��ZdS ) � NDFrameApplyzg Methods shared by FrameApply and SeriesApply but not GroupByApply or ResamplerWindowApply r$ )r0 c C s | j jS )N)r+ rb )rH r8 r8 r9 rb Y s zNDFrameApply.indexc C s | j �| j�S )N)r+ Z _get_agg_axisr- )rH r8 r8 r9 �agg_axis] s zNDFrameApply.agg_axisN)r� r� r� �__doc__�propertyrb r� r8 r8 r8 r9 r� S s r� c s0 e Zd ZU ded< eejdd�dd���Zeejdd�dd���Zeejd d�d d ���Z ejd dd d�dd��Z edd�dd��Z edd�dd��Z e dd� �Ze dd�dd��Zd d�dd�Z� fd d �Zd d � Zd d!� Zddd"�d#d$�Zd%d&� Zd'd�d(d)�Zd dd d�d*d+�Zd d�� fd,d-� Z� ZS ).r* r# r+ r$ )r0 c C s d S )Nr8 )rH r8 r8 r9 � result_indexh s zFrameApply.result_indexc C s d S )Nr8 )rH r8 r8 r9 �result_columnsm s zFrameApply.result_columnszIterator[Series]c C s d S )Nr8 )rH r8 r8 r9 �series_generatorr s zFrameApply.series_generator�ResTyper )rt � res_indexr0 c C s d S )Nr8 )rH rt r� r8 r8 r9 �wrap_results_for_axisw s z FrameApply.wrap_results_for_axisc C s | j S )N)r� )rH r8 r8 r9 � res_columns s zFrameApply.res_columnsc C s | j jS )N)r+ r� )rH r8 r8 r9 r� � s zFrameApply.columnsc C s | j jS )N)r+ r� )rH r8 r8 r9 r� � s zFrameApply.valuesr% c C s | j jS )N)r+ �dtypes)rH r8 r8 r9 r� � s zFrameApply.dtypesc C s� t | j�r| �� S t| j�dkr6t| j�dkr6| �� S t| jt�rJ| � � S t| jt j �r�t j dd�� | j jjd| jd�}W dQ R X | j j|d�S | jdkr�| �| j �S t| j j�s�| �� S | jr�| �� S | �� S ) zcompute the resultsr �ignore)r� rJ )r, N)�datar> )r rA r� rl r� rb �apply_empty_resultrC rF rK rD rE �errstater+ �_mgrrJ � _constructorr/ �apply_broadcastr� �shaper. � apply_raw�apply_standard)rH rt r8 r8 r9 rJ � s" zFrameApply.applyc s� | j }| j}| jdkr | j n| j j| _ d| _d }zJyt� �� }W n6 tk rv } ztd|� ��}||�W d d }~X Y nX W d || _ || _X |dkr�|d k r�|jn|}|d kr�| j j| j|fd| ji| j ��}|S )Nr z?DataFrame constructor called with incompatible data and dtype: r1 r2 ) r+ r- r[ �superrS r_ rJ rG r2 r3 )rH r+ r- rd re �exc)� __class__r8 r9 rS � s$ zFrameApply.aggc C s� t | j�st�| jdkr"| j�� S | jdk}ddlm} |svy| �|g tj d��}W n t k rh Y nX t ||� }|r�t | j �r�| �|g tj d��}ntj}| jj|| j d�S | j�� S dS )z� we have an empty result; at least 1 axis is 0 we will try to apply the function to an empty series in order to see if this is a reduction function )r= Nr= r )r% )�dtype)rb N)rN rA rZ r/ r+ r~ r� r% rD �float64r` rC rl r� �nan�_constructor_sliced)rH Z should_reducer% r� r8 r8 r9 r� � s" z FrameApply.apply_empty_resultc C sV dd� }t �|| j�| j| j�}|jdkr@| jj|| j| j d�S | jj || j d�S dS )z$apply to the values as a numpy arrayc s � fdd�}|S )z� Wrap user supplied function to work around numpy issue. see https://github.com/numpy/numpy/issues/8352 c s& � | |�}t |t�r"tj|td�}|S )N)r� )rC rF rD r �object)r2 r3 rd )r, r8 r9 �wrapper� s z<FrameApply.apply_raw.<locals>.wrap_function.<locals>.wrapperr8 )r, r� r8 )r, r9 � wrap_function� s z+FrameApply.apply_raw.<locals>.wrap_functionr� )rb r� )rb N) rD Zapply_along_axisrA r- r� rY r+ r� rb r� r� r� )rH r� rd r8 r8 r9 r� � s zFrameApply.apply_raw)�targetr0 c C s� t | j�st�t�|j�}|jd }xnt|j�D ]`\}}| �|| �}t� |�j }|dkrdt d��n |dkr�|t |�kr�t d��||d d �|f< q0W | j j||j|jd�}|S )Nr r1 ztoo many dims to broadcastzcannot broadcast result)rb r� )rN rA rZ rD Z empty_liker� r� r� r� ZasarrayrY rB rl r+ r� rb ) rH r� Z result_valuesZresult_compare�irX �resZaresrd r8 r8 r9 r� s zFrameApply.apply_broadcastc C s | � � \}}| �||�S )N)�apply_series_generator� wrap_results)rH rt r� r8 r8 r9 r� + s zFrameApply.apply_standardztuple[ResType, Index]c C s� t | j�st�| j}| j}i }tdd ��L xDt|�D ]8\}}| �|�||< t|| t�r4|| j dd�||< q4W W d Q R X ||fS )Nzmode.chained_assignmentF)�deep) rN rA rZ r� r� r r� rC r r~ )rH Z 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