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B �5�gRP � @ sn d dl mZ d dlmZmZ d dlZd dlmZmZm Z m Z m Z m Z d dl mZ d dlmZmZ d dlmZ d dlmZ d d lmZ er�d d lmZ d d d d�dd�Zdd d d�dd�Z d1ddd�dd�Z G dd� de�Z G d d � d e �Z G d d � d �Z G d d!� d!e �Z!G d"d#� d#e�Z"G d$d%� d%e"�Z#G d&d'� d'e#�Z$G d(d)� d)e"�Z%G d*d+� d+e#e%�Z&d,d-d.�d/d0�Z'dS )2� )� annotations)�ABC�abstractmethodN)�IO� TYPE_CHECKING�Iterable�Iterator�Mapping�Sequence)� get_option)�Dtype�FrameOrSeriesUnion)�Index)�format)� pprint_thing)� DataFramez str | Dtype�int�str)�s�space�returnc C s t | �d|� �|�S )a� Make string of specified length, padding to the right if necessary. Parameters ---------- s : Union[str, Dtype] String to be formatted. space : int Length to force string to be of. Returns ------- str String coerced to given length. Examples -------- >>> pd.io.formats.info._put_str("panda", 6) 'panda ' >>> pd.io.formats.info._put_str("panda", 4) 'pand' N)r �ljust)r r � r �L/home/digitalm-up/venv/lib/python3.7/site-packages/pandas/io/formats/info.py�_put_str! s r z int | float)�num�size_qualifierr c C sB x0dD ](}| dk r&| d�|� d|� �S | d } qW | d�|� d�S )a{ Return size in human readable format. Parameters ---------- num : int Size in bytes. size_qualifier : str Either empty, or '+' (if lower bound). Returns ------- str Size in human readable format. Examples -------- >>> _sizeof_fmt(23028, '') '22.5 KB' >>> _sizeof_fmt(23028, '+') '22.5+ KB' )�bytesZKB�MB�GB�TBg �@z3.1f� z PBr )r r �xr r r � _sizeof_fmt; s r# zbool | str | Nonez bool | str)� memory_usager c C s | dkrt d�} | S )z5Get memory usage based on inputs and display options.Nzdisplay.memory_usage)r )r$ r r r �_initialize_memory_usageZ s r% c @ s� e Zd ZU dZded< ded< eedd�dd ���Zeed d�d d ���Zeed d�dd���Z eedd�dd���Z edd�dd��Z edd�dd��Z edddddd �d d ��Z d S ) �BaseInfoaj Base class for DataFrameInfo and SeriesInfo. Parameters ---------- data : DataFrame or Series Either dataframe or series. memory_usage : bool or str, optional If "deep", introspect the data deeply by interrogating object dtypes for system-level memory consumption, and include it in the returned values. r �dataz bool | strr$ zIterable[Dtype])r c C s dS )z� Dtypes. Returns ------- dtypes : sequence Dtype of each of the DataFrame's columns (or one series column). Nr )�selfr r r �dtypest s zBaseInfo.dtypeszMapping[str, int]c C s dS )z!Mapping dtype - number of counts.Nr )r( r r r � dtype_counts� s zBaseInfo.dtype_countsz Sequence[int]c C s dS )zBSequence of non-null counts for all columns or column (if series).Nr )r( r r r �non_null_counts� s zBaseInfo.non_null_countsr c C s dS )z� Memory usage in bytes. Returns ------- memory_usage_bytes : int Object's total memory usage in bytes. Nr )r( r r r �memory_usage_bytes� s zBaseInfo.memory_usage_bytesr c C s t | j| j�� d�S )z0Memory usage in a form of human readable string.� )r# r, r )r( r r r �memory_usage_string� s z BaseInfo.memory_usage_stringc C s2 d}| j r.| j dkr.d| jks*| jj�� r.d}|S )N� �deep�object�+)r$ r* r' �indexZ_is_memory_usage_qualified)r( r r r r r � s zBaseInfo.size_qualifierzIO[str] | Nonez int | Nonez bool | None�None)�buf�max_cols�verbose� show_countsr c C s dS )a^ Print a concise summary of a %(klass)s. This method prints information about a %(klass)s including the index dtype%(type_sub)s, non-null values and memory usage. %(version_added_sub)s Parameters ---------- data : %(klass)s %(klass)s to print information about. verbose : bool, optional Whether to print the full summary. By default, the setting in ``pandas.options.display.max_info_columns`` is followed. buf : writable buffer, defaults to sys.stdout Where to send the output. By default, the output is printed to sys.stdout. Pass a writable buffer if you need to further process the output. %(max_cols_sub)s memory_usage : bool, str, optional Specifies whether total memory usage of the %(klass)s elements (including the index) should be displayed. By default, this follows the ``pandas.options.display.memory_usage`` setting. True always show memory usage. False never shows memory usage. A value of 'deep' is equivalent to "True with deep introspection". Memory usage is shown in human-readable units (base-2 representation). Without deep introspection a memory estimation is made based in column dtype and number of rows assuming values consume the same memory amount for corresponding dtypes. With deep memory introspection, a real memory usage calculation is performed at the cost of computational resources. %(show_counts_sub)s Returns ------- None This method prints a summary of a %(klass)s and returns None. See Also -------- %(see_also_sub)s Examples -------- %(examples_sub)s Nr )r( r5 r6 r7 r8 r r r �render� s 7zBaseInfo.renderN)�__name__� __module__� __qualname__�__doc__�__annotations__�propertyr r) r* r+ r, r. r r9 r r r r r& c s r& c @ s� e Zd ZdZd!ddd�dd�Zedd �d d ��Zed d �d d��Zedd �dd��Zedd �dd��Z edd �dd��Z edd �dd��Z ddd d d d �d d �Z dS )"� DataFrameInfoz0 Class storing dataframe-specific info. Nr zbool | str | None)r' r$ c C s || _ t|�| _d S )N)r' r% r$ )r( r' r$ r r r �__init__� s zDataFrameInfo.__init__zMapping[str, int])r c C s t | j�S )N)�_get_dataframe_dtype_countsr' )r( r r r r* � s zDataFrameInfo.dtype_countszIterable[Dtype]c C s | j jS )z Dtypes. Returns ------- dtypes Dtype of each of the DataFrame's columns. )r' r) )r( r r r r) � s zDataFrameInfo.dtypesr c C s | j jS )zz Column names. Returns ------- ids : Index DataFrame's column names. )r' �columns)r( r r r �ids s zDataFrameInfo.idsr c C s t | j�S )z#Number of columns to be summarized.)�lenrD )r( r r r � col_count s zDataFrameInfo.col_countz Sequence[int]c C s | j �� S )zBSequence of non-null counts for all columns or column (if series).)r' �count)r( r r r r+ s z DataFrameInfo.non_null_countsc C s( | j dkrd}nd}| jj d|d��� S )Nr0 TF)r3 r0 )r$ r' �sum)r( r0 r r r r, s z DataFrameInfo.memory_usage_byteszIO[str] | Nonez int | Nonez bool | Noner4 )r5 r6 r7 r8 r c C s t | |||d�}|�|� d S )N)�infor6 r7 r8 )�DataFrameInfoPrinter� to_buffer)r( r5 r6 r7 r8 �printerr r r r9 s zDataFrameInfo.render)N) r: r; r< r= rA r? r* r) rD rF r+ r, r9 r r r r r@ � s r@ c @ s4 e Zd ZdZd ddd�dd�Zedd �d d ��ZdS ) �InfoPrinterAbstractz6 Class for printing dataframe or series info. NzIO[str] | Noner4 )r5 r c C s. | � � }|�� }|dkr tj}t�||� dS )z Save dataframe info into buffer.N)�_create_table_builder� get_lines�sys�stdout�fmtZbuffer_put_lines)r( r5 Z table_builder�linesr r r rK 5 s z InfoPrinterAbstract.to_buffer�TableBuilderAbstract)r c C s dS )z!Create instance of table builder.Nr )r( r r r rN = s z)InfoPrinterAbstract._create_table_builder)N)r: r; r< r= rK r rN r r r r rM 0 s rM c @ s� e Zd ZdZd ddddd�dd�Zed d �d d ��Zed d �dd��Zed d �dd��Zed d �dd��Z dd d�dd�Z dd d�dd�Z dd �dd �Z dS ) rJ a{ Class for printing dataframe info. Parameters ---------- info : DataFrameInfo Instance of DataFrameInfo. max_cols : int, optional When to switch from the verbose to the truncated output. verbose : bool, optional Whether to print the full summary. show_counts : bool, optional Whether to show the non-null counts. Nr@ z int | Nonez bool | None)rI r6 r7 r8 c C s0 || _ |j| _|| _| �|�| _| �|�| _d S )N)rI r' r7 �_initialize_max_colsr6 �_initialize_show_countsr8 )r( rI r6 r7 r8 r r r rA R s z DataFrameInfoPrinter.__init__r )r c C s t dt| j�d �S )z"Maximum info rows to be displayed.zdisplay.max_info_rows� )r rE r' )r( r r r �max_rows_ s z DataFrameInfoPrinter.max_rows�boolc C s t | j| jk�S )zDCheck if number of columns to be summarized does not exceed maximum.)rY rF r6 )r( r r r �exceeds_info_colsd s z&DataFrameInfoPrinter.exceeds_info_colsc C s t t| j�| jk�S )zACheck if number of rows to be summarized does not exceed maximum.)rY rE r' rX )r( r r r �exceeds_info_rowsi s z&DataFrameInfoPrinter.exceeds_info_rowsc C s | j jS )z#Number of columns to be summarized.)rI rF )r( r r r rF n s z DataFrameInfoPrinter.col_count)r6 r c C s |d krt d| jd �S |S )Nzdisplay.max_info_columnsrW )r rF )r( r6 r r r rU s s z)DataFrameInfoPrinter._initialize_max_cols)r8 r c C s$ |d kr t | j o| j �S |S d S )N)rY rZ r[ )r( r8 r r r rV x s z,DataFrameInfoPrinter._initialize_show_counts�DataFrameTableBuilderc C sR | j rt| j| jd�S | j dkr,t| jd�S | jr>t| jd�S t| j| jd�S dS )z[ Create instance of table builder based on verbosity and display settings. )rI � with_countsF)rI N)r7 � DataFrameTableBuilderVerboserI r8 � DataFrameTableBuilderNonVerboserZ )r( r r r rN ~ s z*DataFrameInfoPrinter._create_table_builder)NNN) r: r; r< r= rA r? rX rZ r[ rF rU rV rN r r r r rJ B s rJ c @ s� e Zd ZU dZded< ded< edd�dd��Zed d�d d ��Zed d�d d��Z edd�dd��Z edd�dd��Z edd�dd��Z edd�dd��Z dd�d d �Zdd�d d �Zdd�d d!�Zd"S )#rT z* Abstract builder for info table. z list[str]�_linesr& rI )r c C s dS )z-Product in a form of list of lines (strings).Nr )r( r r r rO � s z TableBuilderAbstract.get_linesr c C s | j jS )N)rI r' )r( r r r r' � s zTableBuilderAbstract.datazIterable[Dtype]c C s | j jS )z*Dtypes of each of the DataFrame's columns.)rI r) )r( r r r r) � s zTableBuilderAbstract.dtypeszMapping[str, int]c C s | j jS )z!Mapping dtype - number of counts.)rI r* )r( r r r r* � s z!TableBuilderAbstract.dtype_countsrY c C s t | jj�S )z Whether to display memory usage.)rY rI r$ )r( r r r �display_memory_usage� s z)TableBuilderAbstract.display_memory_usager c C s | j jS )z/Memory usage string with proper size qualifier.)rI r. )r( r r r r. � s z(TableBuilderAbstract.memory_usage_stringz Sequence[int]c C s | j jS )N)rI r+ )r( r r r r+ � s z$TableBuilderAbstract.non_null_countsr4 c C s | j �tt| j��� dS )z>Add line with string representation of dataframe to the table.N)r` �appendr �typer' )r( r r r �add_object_type_line� s z)TableBuilderAbstract.add_object_type_linec C s | j �| jj�� � dS )z,Add line with range of indices to the table.N)r` rb r' r3 �_summary)r( r r r �add_index_range_line� s z)TableBuilderAbstract.add_index_range_linec C s4 dd� t | j�� �D �}| j�dd�|�� �� dS )z2Add summary line with dtypes present in dataframe.c S s" g | ]\}}|� d |d�d��qS )�(�d�)r )�.0�key�valr r r � <listcomp>� s z8TableBuilderAbstract.add_dtypes_line.<locals>.<listcomp>zdtypes: z, N)�sortedr* �itemsr` rb �join)r( Zcollected_dtypesr r r �add_dtypes_line� s z$TableBuilderAbstract.add_dtypes_lineN)r: r; r< r= r> r rO r? r' r) r* ra r. r+ rd rf rq r r r r rT � s rT c @ s� e Zd ZdZdd�dd�Zdd�dd �Zd d�d d �Zed d�d d��Ze dd�dd��Z e dd�dd��Z e dd�dd��Z d d�dd�Z dS )r\ z� Abstract builder for dataframe info table. Parameters ---------- info : DataFrameInfo. Instance of DataFrameInfo. r@ )rI c C s || _ d S )N)rI )r( rI r r r rA � s z DataFrameTableBuilder.__init__z list[str])r c C s( g | _ | jdkr| �� n| �� | j S )Nr )r` rF �_fill_empty_info�_fill_non_empty_info)r( r r r rO � s z DataFrameTableBuilder.get_linesr4 c C s. | � � | �� | j�dt| j�j� �� dS )z;Add lines to the info table, pertaining to empty dataframe.zEmpty N)rd rf r` rb rc r' r: )r( r r r rr � s z&DataFrameTableBuilder._fill_empty_infoc C s dS )z?Add lines to the info table, pertaining to non-empty dataframe.Nr )r( r r r rs � s z*DataFrameTableBuilder._fill_non_empty_infor c C s | j jS )z DataFrame.)rI r' )r( r r r r' � s zDataFrameTableBuilder.datar c C s | j jS )zDataframe columns.)rI rD )r( r r r rD � s zDataFrameTableBuilder.idsr c C s | j jS )z-Number of dataframe columns to be summarized.)rI rF )r( r r r rF � s z DataFrameTableBuilder.col_countc C s | j �d| j� �� dS )z!Add line containing memory usage.zmemory usage: N)r` rb r. )r( r r r �add_memory_usage_line� s z+DataFrameTableBuilder.add_memory_usage_lineN)r: r; r< r= rA rO rr r rs r? r' rD rF rt r r r r r\ � s r\ c @ s, e Zd ZdZdd�dd�Zdd�dd�ZdS ) r_ z> Dataframe info table builder for non-verbose output. r4 )r c C s2 | � � | �� | �� | �� | jr.| �� dS )z?Add lines to the info table, pertaining to non-empty dataframe.N)rd rf �add_columns_summary_linerq ra rt )r( r r r rs s z4DataFrameTableBuilderNonVerbose._fill_non_empty_infoc C s | j �| jjdd�� d S )N�Columns)�name)r` rb rD re )r( r r r ru s z8DataFrameTableBuilderNonVerbose.add_columns_summary_lineN)r: r; r< r= rs ru r r r r r_ � s r_ c @ s� e Zd ZU dZdZded< ded< ded< d ed < eed d �d d���Zedd �dd��Z dd �dd�Z dd �dd�Z dd �dd�Z edd �dd��Z edd �dd��Zd d �d d �Zd d �d d �Zd d �d!d"�Zd#d �d$d%�Zd#d �d&d'�Zd(S ))�TableBuilderVerboseMixinz( Mixin for verbose info output. z r �SPACINGzSequence[Sequence[str]]�strrowsz Sequence[int]�gross_column_widthsrY r] z Sequence[str])r c C s dS )z.Headers names of the columns in verbose table.Nr )r( r r r �headers s z TableBuilderVerboseMixin.headersc C s dd� | j D �S )z'Widths of header columns (only titles).c S s g | ] }t |��qS r )rE )rj �colr r r rm " s zATableBuilderVerboseMixin.header_column_widths.<locals>.<listcomp>)r| )r( r r r �header_column_widths s z-TableBuilderVerboseMixin.header_column_widthsc C s | � � }dd� t| j|�D �S )zAGet widths of columns containing both headers and actual content.c S s g | ] }t |� �qS r )�max)rj �widthsr r r rm ( s zETableBuilderVerboseMixin._get_gross_column_widths.<locals>.<listcomp>)�_get_body_column_widths�zipr~ )r( Zbody_column_widthsr r r �_get_gross_column_widths$ s z1TableBuilderVerboseMixin._get_gross_column_widthsc C s t t| j� �}dd� |D �S )z$Get widths of table content columns.c S s g | ]}t d d� |D ���qS )c s s | ]}t |�V qd S )N)rE )rj r" r r r � <genexpr>/ s zNTableBuilderVerboseMixin._get_body_column_widths.<locals>.<listcomp>.<genexpr>)r )rj r} r r r rm / s zDTableBuilderVerboseMixin._get_body_column_widths.<locals>.<listcomp>)�listr� rz )r( Zstrcolsr r r r� , s z0TableBuilderVerboseMixin._get_body_column_widthszIterator[Sequence[str]]c C s | j r| �� S | �� S dS )z� Generator function yielding rows content. Each element represents a row comprising a sequence of strings. N)r] �_gen_rows_with_counts�_gen_rows_without_counts)r( r r r � _gen_rows1 s z"TableBuilderVerboseMixin._gen_rowsc C s dS )z=Iterator with string representation of body data with counts.Nr )r( r r r r� < s z.TableBuilderVerboseMixin._gen_rows_with_countsc C s dS )z@Iterator with string representation of body data without counts.Nr )r( r r r r� @ s z1TableBuilderVerboseMixin._gen_rows_without_countsr4 c C s0 | j �dd� t| j| j�D ��}| j�|� d S )Nc S s g | ]\}}t ||��qS r )r )rj �headerZ col_widthr r r rm G s z<TableBuilderVerboseMixin.add_header_line.<locals>.<listcomp>)ry rp r� r| r{ r` rb )r( Z header_liner r r �add_header_lineD s z(TableBuilderVerboseMixin.add_header_linec C s0 | j �dd� t| j| j�D ��}| j�|� d S )Nc S s g | ]\}}t d | |��qS )�-)r )rj Zheader_colwidth�gross_colwidthr r r rm P s z?TableBuilderVerboseMixin.add_separator_line.<locals>.<listcomp>)ry rp r� r~ r{ r` rb )r( Zseparator_liner r r �add_separator_lineM s z+TableBuilderVerboseMixin.add_separator_linec C s> x8| j D ].}| j�dd� t|| j�D ��}| j�|� qW d S )Nc S s g | ]\}}t ||��qS r )r )rj r} r� r r r rm \ s z;TableBuilderVerboseMixin.add_body_lines.<locals>.<listcomp>)rz ry rp r� r{ r` rb )r( �rowZ body_liner r r �add_body_linesX s z'TableBuilderVerboseMixin.add_body_linesz Iterator[str]c c s x| j D ]}|� d�V qW dS )z7Iterator with string representation of non-null counts.z non-nullN)r+ )r( rG r r r �_gen_non_null_countsb s z-TableBuilderVerboseMixin._gen_non_null_countsc c s x| j D ]}t|�V qW dS )z5Iterator with string representation of column dtypes.N)r) r )r( Zdtyper r r � _gen_dtypesg s z$TableBuilderVerboseMixin._gen_dtypesN)r: r; r< r= ry r> r? r r| r~ r� r� r� r� r� r� r� r� r� r� r r r r rx s$ rx c @ s� e Zd ZdZddd�dd�Zdd�d d �Zed d�d d ��Zdd�dd�Zdd�dd�Z dd�dd�Z dd�dd�Z dd�dd�Z dS )r^ z: Dataframe info table builder for verbose output. r@ rY )rI r] c C s( || _ || _t| �� �| _| �� | _d S )N)rI r] r� r� rz r� r{ )r( rI r] r r r rA r s z%DataFrameTableBuilderVerbose.__init__r4 )r c C sJ | � � | �� | �� | �� | �� | �� | �� | jrF| �� dS )z?Add lines to the info table, pertaining to non-empty dataframe.N) rd rf ru r� r� r� rq ra rt )r( r r r rs } s z1DataFrameTableBuilderVerbose._fill_non_empty_infoz Sequence[str]c C s | j rddddgS dddgS )z.Headers names of the columns in verbose table.z # �ColumnzNon-Null Countr )r] )r( r r r r| � s z$DataFrameTableBuilderVerbose.headersc C s | j �d| j� d�� d S )NzData columns (total z columns):)r` rb rF )r( r r r ru � s z5DataFrameTableBuilderVerbose.add_columns_summary_linezIterator[Sequence[str]]c c s" t | �� | �� | �� �E dH dS )z@Iterator with string representation of body data without counts.N)r� �_gen_line_numbers� _gen_columnsr� )r( r r r r� � s z5DataFrameTableBuilderVerbose._gen_rows_without_countsc c s( t | �� | �� | �� | �� �E dH dS )z=Iterator with string representation of body data with counts.N)r� r� r� r� r� )r( r r r r� � s z2DataFrameTableBuilderVerbose._gen_rows_with_countsz Iterator[str]c c s( x"t | j�D ]\}}d|� �V q W dS )z6Iterator with string representation of column numbers.r! N)� enumeraterD )r( �i�_r r r r� � s z.DataFrameTableBuilderVerbose._gen_line_numbersc c s x| j D ]}t|�V qW dS )z4Iterator with string representation of column names.N)rD r )r( r} r r r r� � s z)DataFrameTableBuilderVerbose._gen_columnsN) r: r; r< r= rA rs r? r| ru r� r� r� r� r r r r r^ m s r^ r zMapping[str, int])�dfr c C s | j �� �dd� ��� S )zK Create mapping between datatypes and their number of occurrences. c S s | j S )N)rw )r" r r r �<lambda>� � z-_get_dataframe_dtype_counts.<locals>.<lambda>)r) Z value_counts�groupbyrH )r� r r r rB � s rB )N)(� __future__r �abcr r rP �typingr r r r r r Zpandas._configr Zpandas._typingr r Zpandas.core.indexes.apir Zpandas.io.formatsr rR Zpandas.io.formats.printingr Zpandas.core.framer r r# r% r& r@ rM rJ rT r\ r_ rx r^ rB r r r r �<module> s0 LQ83]B
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