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B �5�gS; � @ s� d dl mZ d dlmZ d dlmZmZmZ d dlZd dl Z d dl m Z d dl Zd dlmZ d dlmZ d dlmZmZmZ d dlmZ er�d d lmZ d d lm Z d d l m Z d d l m Z d d l m!Z! dd�dd�Z"dd�dd�Z#dd�dd�Z$dGddd�dd �Z%dHd d d d!�d"d#�Z&dId d&d&d&d d'�d(d)�Z'd*d+�d,d-�Z(d.d d&d/�d0d1�Z)d2d d d d d&d&d3�d4d5�Z*d6d7d8�d9d:�Z+dJd6d;�d<d=�Z,dd>d?�d@dA�Z-dBdCdD�dEdF�Z.dS )K� )� annotations)�ceil)� TYPE_CHECKING�Iterable�SequenceN)�FrameOrSeriesUnion)� is_list_like)� ABCDataFrame�ABCIndex� ABCSeries)�compat)�Axes)�Axis)�Figure)�Line2D)�Tabler )�figc C s t | d�sdS | �� S )z+Whether fig has constrained_layout enabled.�get_constrained_layoutF)�hasattrr )r � r �W/home/digitalm-up/venv/lib/python3.7/site-packages/pandas/plotting/_matplotlib/tools.py�do_adjust_figure# s r c O s t | �r| j||� dS )zCCall fig.subplots_adjust unless fig has constrained_layout enabled.N)r Zsubplots_adjust)r �args�kwargsr r r �maybe_adjust_figure* s r r )�axc C s> x$| � � D ]}|�d� |�|� q W | �� }t|dd� d S )N�rightg�������?)�bottom)�get_xticklabelsZset_haZ set_rotation� get_figurer )r Zrot�labelr r r r �format_date_labels0 s r! r r )�data�returnc K sj t |t�r|�� }nt |t�r ntd��|d kr6|j}|d krD|j}|j}tj j | f|||d�|��}|S )Nz&Input data must be DataFrame or Series)�cellText� rowLabels� colLabels) � isinstancer Zto_framer � ValueError�index�columns�values� matplotlib�table)r r" r% r& r r$ r- r r r r- 9 s r- �box�int�strztuple[int, int])�nplots� layout_typer# c C sr |d k r�t |ttf�r"t|�dkr*td��|\}}|dkr\|dkr\t| | �|f }\}}nF|dkr�|dkr�|t| | �f }\}}n |dkr�|dkr�d}t|��|| | k r�td|� d|� d| � ���|S |d kr�d S |d kr�d | fS |d kr�| d fS d dddd�}y|| S tk �rl d }x |d | k �r@|d 7 }�q&W |d | | k�r`||d fS ||fS Y nX d S )N� z)Layout must be a tuple of (rows, columns)���r z1At least one dimension of layout must be positivez Layout of �xz# must be larger than required size Zsingle)� r6 � horizontalr6 �vertical)r6 r3 )r3 r3 )r6 r3 � � )r' �tuple�list�lenr( r �KeyError)r1 �layoutr2 �nrows�ncols�msgZlayouts�kr r r � _get_layoutQ s> rD FT�bool)�naxes�sharex�sharey�squeezer2 c K s ddl m} |dkri }|dkr.| jf |�} n�t|�r�|rBt|�}|dk rVt�dt� |s^|rntjdtdd� |j| kr�|j d � � } | |fS t d| � d���|� � } | d kr�|r�| |fS | t|�fS ntjd tdd� | � � t | ||d �\} } | | } tj| td �}| j| | d f|�}|�r(||d < |�r6||d< ||d< xTtd | �D ]F}|�� }|| k�rpd|d < d|d< | j| | |d f|�}|||< �qJW | | k�r�x || d� D ]}|�d� �q�W t|| | | | ||� |�r | d k�r�|d }n|�| | ��� }n |�| | �}| |fS )a� Create a figure with a set of subplots already made. This utility wrapper makes it convenient to create common layouts of subplots, including the enclosing figure object, in a single call. Parameters ---------- naxes : int Number of required axes. Exceeded axes are set invisible. Default is nrows * ncols. sharex : bool If True, the X axis will be shared amongst all subplots. sharey : bool If True, the Y axis will be shared amongst all subplots. squeeze : bool If True, extra dimensions are squeezed out from the returned axis object: - if only one subplot is constructed (nrows=ncols=1), the resulting single Axis object is returned as a scalar. - for Nx1 or 1xN subplots, the returned object is a 1-d numpy object array of Axis objects are returned as numpy 1-d arrays. - for NxM subplots with N>1 and M>1 are returned as a 2d array. If False, no squeezing is done: the returned axis object is always a 2-d array containing Axis instances, even if it ends up being 1x1. subplot_kw : dict Dict with keywords passed to the add_subplot() call used to create each subplots. ax : Matplotlib axis object, optional layout : tuple Number of rows and columns of the subplot grid. If not specified, calculated from naxes and layout_type layout_type : {'box', 'horizontal', 'vertical'}, default 'box' Specify how to layout the subplot grid. fig_kw : Other keyword arguments to be passed to the figure() call. Note that all keywords not recognized above will be automatically included here. Returns ------- fig, ax : tuple - fig is the Matplotlib Figure object - ax can be either a single axis object or an array of axis objects if more than one subplot was created. The dimensions of the resulting array can be controlled with the squeeze keyword, see above. Examples -------- x = np.linspace(0, 2*np.pi, 400) y = np.sin(x**2) # Just a figure and one subplot f, ax = plt.subplots() ax.plot(x, y) ax.set_title('Simple plot') # Two subplots, unpack the output array immediately f, (ax1, ax2) = plt.subplots(1, 2, sharey=True) ax1.plot(x, y) ax1.set_title('Sharing Y axis') ax2.scatter(x, y) # Four polar axes plt.subplots(2, 2, subplot_kw=dict(polar=True)) r Nz5When passing multiple axes, layout keyword is ignoredznWhen passing multiple axes, sharex and sharey are ignored. These settings must be specified when creating axesr: )� stacklevelz"The number of passed axes must be z , the same as the output plotr6 zSTo output multiple subplots, the figure containing the passed axes is being cleared)r? r2 )�dtyperG rH F)�matplotlib.pyplot�pyplotZfigurer � flatten_axes�warnings�warn� UserWarning�sizeZflatr r( �clearrD �np�empty�objectZ add_subplot�range�copy� set_visible�handle_shared_axesZreshaperI )rF rG rH rI Z subplot_kwr r? r2 Zfig_kw�pltr r@ rA r1 �axarrZax0�i�kwds�axesr r r �create_subplots sr U r` r )�axisc C s� x| � � D ]}|�d� q W t| �� tj�r:| �t�� � t| �� tj �rZ| � t� d�� x| � � D ]}|�d� qdW | � � �d� d S )NF� )Zget_majorticklabelsrY r' Zget_minor_locator�tickerZ NullLocatorZset_minor_locatorZ AutoLocatorZget_minor_formatterZ NullFormatterZset_minor_formatterZFormatStrFormatterZget_minorticklabelsZ get_label)ra �tr r r �_remove_labels_from_axis5 s re zmatplotlib.axes)�ax1� compare_axisr# c C sl |dkr| � � }n|dkr$| �� }ntd��|�| �}| �� �� }x$|D ] }t�||�� �� �sHdS qHW dS )a< Return whether an axis is externally shared. Parameters ---------- ax1 : matplotlib.axes Axis to query. compare_axis : str `"x"` or `"y"` according to whether the X-axis or Y-axis is being compared. Returns ------- bool `True` if the axis is externally shared. Otherwise `False`. Notes ----- If two axes with different positions are sharing an axis, they can be referred to as *externally* sharing the common axis. If two axes sharing an axis also have the same position, they can be referred to as *internally* sharing the common axis (a.k.a twinning). _handle_shared_axes() is only interested in axes externally sharing an axis, regardless of whether either of the axes is also internally sharing with a third axis. r5 �yzD_has_externally_shared_axis() needs 'x' or 'y' as a second parameterTF)Zget_shared_x_axesZget_shared_y_axesr( Z get_siblingsZ get_positionZ get_pointsrT Z array_equal)rf rg r_ Z ax1_pointsZax2r r r �_has_externally_shared_axisE s ri zIterable[Axes])r\ r1 rF r@ rA rG rH c C s� |dk�r�t �� r$dd� }dd� }ndd� }dd� }t �� rFdd� } ndd� } |dk�rLy�tj|d |d ftjd �} x$| D ] } | �� | || �|| �f< q|W x>| D ]6} | || �d || �f s�q�|s�t| d �r�t| j � q�W W nl t k �rJ t �� �rd d� } nd d� } x8| D ]0} | | ��r$�q|�s6t| d ��rt| j � �qW Y nX |dk�r�x8| D ]0} | | ��rn�q\|�s�t| d ��r\t| j � �q\W d S )Nr6 c S s | � � jjS )N)�get_subplotspecZrowspan�start)r5 r r r �<lambda>� � z$handle_shared_axes.<locals>.<lambda>c S s | � � jjS )N)rj Zcolspanrk )r5 r r r rl � rm c S s | j S )N)ZrowNum)r5 r r r rl � rm c S s | j S )N)ZcolNum)r5 r r r rl � rm c S s | � � �� S )N)rj � is_first_col)r5 r r r rl � rm c S s | � � S )N)rn )r5 r r r rl � rm )rK r5 c S s | � � �� S )N)rj � is_last_row)r5 r r r rl � rm c S s | � � S )N)ro )r5 r r r rl � rm rh ) r Z mpl_ge_3_2_0Z mpl_ge_3_4_0rT ZzerosZbool_Z get_visibleri re Zxaxis� IndexErrorZyaxis) r\ r1 rF r@ rA rG rH Zrow_numZcol_numrn r? r ro r r r rZ w sD rZ zAxes | Sequence[Axes]z np.ndarray)r_ r# c C s< t | �st�| g�S t| tjtf�r2t�| ��� S t�| �S )N)r rT �arrayr' Zndarrayr ZasarrayZravel)r_ r r r rN � s rN )r_ c C s� dd l m} xxt| �D ]l}|d k r4|j|�� |d� |d k rN|j|�� |d� |d k rh|j|�� |d� |d k r|j|�� |d� qW | S )Nr )Zfontsize)Zrotation)rL rM rN Zsetpr Zget_yticklabels)r_ Z xlabelsizeZxrotZ ylabelsizeZyrotr[ r r r r �set_ticks_props� s rr z list[Line2D])r r# c C s< | � � }t| d�r || j� � 7 }t| d�r8|| j� � 7 }|S )N�right_ax�left_ax)� get_linesr rs rt )r �linesr r r � get_all_lines� s rw zIterable[Line2D]ztuple[float, float])rv r# c C sR t jt j }}x8| D ]0}|jdd�}tt �|�|�}tt �|�|�}qW ||fS )NF)�orig)rT �infZ get_xdata�minZnanmin�maxZnanmax)rv �leftr �liner5 r r r �get_xlim� s r~ )NN)Nr. )FFTNNNr. )NNNN)/� __future__r �mathr �typingr r r rO Zmatplotlib.tabler, Zmatplotlib.tickerrc �numpyrT Zpandas._typingr Zpandas.core.dtypes.commonr Zpandas.core.dtypes.genericr r r Zpandas.plotting._matplotlibr Zmatplotlib.axesr Zmatplotlib.axisr Zmatplotlib.figurer Zmatplotlib.linesr r r r r! r- rD r` re ri rZ rN rr rw r~ r r r r �<module> sN 0 /2?
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