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B �5�gZ3 � @ s~ d Z ddlmZ ddlmZmZ ddlmZmZm Z m Z ddl Z ddl Z ddlmZ ddlmZmZmZ ddlmZ dd lmZmZmZmZ dd lm Z dd l m Z er�dd l m Z m!Z! d ddddd d�dd�Z"G dd� de�Z#G dd� de#�Z$G dd� de#�Z%ddd �d d �Z&d d d d!�d"d#�Z'd d d d$�d%d&�Z(d d d d$�d'd(�Z)d d d d)�d*d+�Z*d dd,d-�d.d/�Z+dd d0�d1d2�Z,dS )3z� Module responsible for execution of NDFrame.describe() method. Method NDFrame.describe() delegates actual execution to function describe_ndframe(). � )� annotations)�ABC�abstractmethod)� TYPE_CHECKING�Callable�Sequence�castN)� Timestamp)� FrameOrSeries�FrameOrSeriesUnion�Hashable)�validate_percentile)� is_bool_dtype�is_datetime64_any_dtype�is_numeric_dtype�is_timedelta64_dtype)�concat)�format_percentiles)� DataFrame�Seriesr zstr | Sequence[str] | None�boolzSequence[float] | None)�obj�include�exclude�datetime_is_numeric� percentiles�returnc C sR t |�}| jdkr&ttd| �|d�}nttd| �|||d�}|j|d�}tt|�S )a� Describe series or dataframe. Called from pandas.core.generic.NDFrame.describe() Parameters ---------- obj: DataFrame or Series Either dataframe or series to be described. include : 'all', list-like of dtypes or None (default), optional A white list of data types to include in the result. Ignored for ``Series``. exclude : list-like of dtypes or None (default), optional, A black list of data types to omit from the result. Ignored for ``Series``. datetime_is_numeric : bool, default False Whether to treat datetime dtypes as numeric. percentiles : list-like of numbers, optional The percentiles to include in the output. All should fall between 0 and 1. The default is ``[.25, .5, .75]``, which returns the 25th, 50th, and 75th percentiles. Returns ------- Dataframe or series description. � r )r r r )r r r r )r )�refine_percentiles�ndim�SeriesDescriberr �DataFrameDescriber�describer )r r r r r Z describer�result� r$ �J/home/digitalm-up/venv/lib/python3.7/site-packages/pandas/core/describe.py�describe_ndframe0 s r& c @ s4 e Zd ZdZddd�dd�Zeddd�d d ��Zd S ) �NDFrameDescriberAbstractz�Abstract class for describing dataframe or series. Parameters ---------- obj : Series or DataFrame Object to be described. datetime_is_numeric : bool Whether to treat datetime dtypes as numeric. r r )r r c C s || _ || _d S )N)r r )�selfr r r$ r$ r% �__init__n s z!NDFrameDescriberAbstract.__init__zSequence[float])r r c C s dS )z�Do describe either series or dataframe. Parameters ---------- percentiles : list-like of numbers The percentiles to include in the output. Nr$ )r( r r$ r$ r% r" r s z!NDFrameDescriberAbstract.describeN)�__name__� __module__� __qualname__�__doc__r) r r" r$ r$ r$ r% r' c s r' c @ s* e Zd ZU dZded< ddd�dd�ZdS ) r z2Class responsible for creating series description.r r zSequence[float])r r c C s t | j| j�}|| j|�S )N)�select_describe_funcr r )r( r � describe_funcr$ r$ r% r" � s zSeriesDescriber.describeN)r* r+ r, r- �__annotations__r" r$ r$ r$ r% r } s r c sD e Zd ZdZddddd�� fdd� Zddd �d d �Zd d � Z� ZS )r! a� Class responsible for creating dataobj description. Parameters ---------- obj : DataFrame DataFrame to be described. include : 'all', list-like of dtypes or None A white list of data types to include in the result. exclude : list-like of dtypes or None A black list of data types to omit from the result. datetime_is_numeric : bool Whether to treat datetime dtypes as numeric. r zstr | Sequence[str] | Noner )r r r r c s> || _ || _|jdkr*|jjdkr*td��t� j||d� d S )N� r z+Cannot describe a DataFrame without columns)r )r r r �columns�size� ValueError�superr) )r( r r r r )� __class__r$ r% r) � s zDataFrameDescriber.__init__zSequence[float])r r c sr | � � }g }x0|�� D ]$\}}t|| j�}|�|||�� qW t|�� t� fdd�|D �ddd�}|j�� |_|S )Nc s g | ]}|j � d d��qS )F)�copy)Zreindex)�.0�x)� col_namesr$ r% � <listcomp>� s z/DataFrameDescriber.describe.<locals>.<listcomp>r F)Zaxis�sort) � _select_data�itemsr. r �append�reorder_columnsr r2 r7 )r( r �data�ldesc�_�seriesr/ �dr$ )r: r% r" � s zDataFrameDescriber.describec C s� | j dkrP| jdkrPtjg}| jr,|�d� | jj|d�}t|j �dkr�| j}n<| j dkrx| jdk rpd}t |��| j}n| jj| j | jd�}|S )z Select columns to be described.N�datetime)r r �allz*exclude must be None when include is 'all')r r ) r r �np�numberr r? r Z select_dtypes�lenr2 r4 )r( Zdefault_includerA �msgr$ r$ r% r= � s z DataFrameDescriber._select_data)r* r+ r, r- r) r" r= � __classcell__r$ r$ )r6 r% r! � s r! zSequence[Series]zlist[Hashable])rB r c C sL g }t dd� | D �td�}x,|D ]$}x |D ]}||kr*|�|� q*W q W |S )z,Set a convenient order for rows for display.c s s | ] }|j V qd S )N)�index)r8 r9 r$ r$ r% � <genexpr>� s z"reorder_columns.<locals>.<genexpr>)�key)�sortedrJ r? )rB �namesZ ldesc_indexesZidxnames�namer$ r$ r% r@ � s r@ r zSequence[float])rD r r c C sn ddl m} t|�}ddddg| dg }| �� | �� | �� | �� g| �|��� | � � g }|||| j d�S ) z�Describe series containing numerical data. Parameters ---------- series : Series Series to be described. percentiles : list-like of numbers The percentiles to include in the output. r )r �count�mean�std�min�max)rM rR ) �pandasr r rS rT rU rV �quantile�tolistrW rR )rD r r �formatted_percentiles� stat_indexrE r$ r$ r% �describe_numeric_1d� s 4r] )rA �percentiles_ignoredr c C s� ddddg}| � � }t||dk �}|dkrH|jd |jd }}d}ntjtj }}d}| �� |||g}ddlm} | ||| j |d �S ) z�Describe series containing categorical data. Parameters ---------- data : Series Series to be described. percentiles_ignored : list-like of numbers Ignored, but in place to unify interface. rS �unique�top�freqr N�object)r )rM rR �dtype) � value_countsrJ rM �ilocrH �nanrS rX r rR ) rA r^ rQ � objcounts� count_uniquer` ra rc r# r r$ r$ r% �describe_categorical_1d� s ri c C s ddg}| � � }t||dk �}| �� |g}d}|dkr�|jd |jd }}| jj} | �� j� d�} t |�}|j dk r�| dk r�|� | �}n |� | �}|dddd g7 }|||t | �� | d �t | �� | d �g7 }n |ddg7 }|tjtjg7 }d }dd lm} | ||| j|d �S )z�Describe series containing timestamp data treated as categorical. Parameters ---------- data : Series Series to be described. percentiles_ignored : list-like of numbers Ignored, but in place to unify interface. rS r_ r N�i8r` ra �first�last)�tzrb )r )rM rR rc )rd rJ rS rM re �dtrm Zdropna�values�viewr �tzinfoZ tz_convertZ tz_localizerV rW rH rf rX r rR ) rA r^ rQ rg rh r# rc r` ra rm Zasintr r$ r$ r% �$describe_timestamp_as_categorical_1d s0 rr )rA r r c C sf ddl m} t|�}dddg| dg }| �� | �� | �� g| �|��� | �� g }|||| j d�S )z�Describe series containing datetime64 dtype. Parameters ---------- data : Series Series to be described. percentiles : list-like of numbers The percentiles to include in the output. r )r rS rT rV rW )rM rR ) rX r r rS rT rV rY rZ rW rR )rA r r r[ r\ rE r$ r$ r% �describe_timestamp_1dH s .rs r )rA r r c C sX t | j�rtS t| �rtS t| j�rB|r,tS tjdt dd� t S nt | j�rPtS tS dS )z�Select proper function for describing series based on data type. Parameters ---------- data : Series Series to be described. datetime_is_numeric : bool Whether to treat datetime dtypes as numeric. z�Treating datetime data as categorical rather than numeric in `.describe` is deprecated and will be removed in a future version of pandas. Specify `datetime_is_numeric=True` to silence this warning and adopt the future behavior now.� )� stacklevelN) r rc ri r r] r rs �warnings�warn� FutureWarningrr r )rA r r$ r$ r% r. c s r. )r r c C sv | dkrt �dddg�S t| �} t| � d| kr:| �d� t �| �} t �| �}| dk sZt�t|�t| �k rrt d��|S )z�Ensure that percentiles are unique and sorted. Parameters ---------- percentiles : list-like of numbers, optional The percentiles to include in the output. Ng �?g �?g �?z%percentiles cannot contain duplicates) rH �array�listr r? Zasarrayr_ �AssertionErrorrJ r4 )r Z unique_pctsr$ r$ r% r � s r )-r- � __future__r �abcr r �typingr r r r rv �numpyrH Zpandas._libs.tslibsr Zpandas._typingr r r Zpandas.util._validatorsr Zpandas.core.dtypes.commonr r r r Zpandas.core.reshape.concatr Zpandas.io.formats.formatr rX r r r& r' r r! r@ r] ri rr rs r. r r$ r$ r$ r% �<module> s0 3 I 0$
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