a
    Sic                     @   s   d Z ddlmZ ddlZddlZddlZddlZddl	m
Z
mZmZ eeZG dd dejZG dd dejZG d	d
 d
ejZG dd dZe eje< e ejej< e eje< e ejej< dS )a  
Plotting of string "category" data: ``plot(['d', 'f', 'a'], [1, 2, 3])`` will
plot three points with x-axis values of 'd', 'f', 'a'.

See :doc:`/gallery/lines_bars_and_markers/categorical_variables` for an
example.

The module uses Matplotlib's `matplotlib.units` mechanism to convert from
strings to integers and provides a tick locator, a tick formatter, and the
`.UnitData` class that creates and stores the string-to-integer mapping.
    )OrderedDictN)_apitickerunitsc                   @   s<   e Zd Zedd Zedd Zedd Zedd Zd	S )
StrCategoryConverterc                 C   s   |du rt dt| ttj| td}t " t	dd |D }W d   n1 s^0    Y  |j
r|rtjddd tj|tdS || tj|jjtgd	|S )
a  
        Convert strings in *value* to floats using mapping information stored
        in the *unit* object.

        Parameters
        ----------
        value : str or iterable
            Value or list of values to be converted.
        unit : `.UnitData`
            An object mapping strings to integers.
        axis : `~matplotlib.axis.Axis`
            The axis on which the converted value is plotted.

            .. note:: *axis* is unused.

        Returns
        -------
        float or ndarray[float]
        NzMissing category information for StrCategoryConverter; this might be caused by unintendedly mixing categorical and numeric datadtypec                 s   s*   | ]"}t j|o t|ttf V  qd S N)r   ConversionInterface
is_numlike
isinstancestrbytes).0v r   O/var/www/html/django/DPS/env/lib/python3.9/site-packages/matplotlib/category.py	<genexpr>:   s   z/StrCategoryConverter.convert.<locals>.<genexpr>z3.5zSupport for passing numbers through unit converters is deprecated since %(since)s and support will be removed %(removal)s; use Axis.convert_units instead.)message)otypes)
ValueErrorr   _validate_unitnp
atleast_1darrayobjectr   'suppress_matplotlib_deprecation_warningallsizewarn_deprecatedasarrayfloatupdate	vectorize_mapping__getitem__)valueunitaxisvaluesr   r   r   r   convert   s"    

&

zStrCategoryConverter.convertc                 C   s,   t |  t| j}t| j}tj||dS )a  
        Set the default axis ticks and labels.

        Parameters
        ----------
        unit : `.UnitData`
            object string unit information for value
        axis : `~matplotlib.axis.Axis`
            axis for which information is being set

            .. note:: *axis* is not used

        Returns
        -------
        `~matplotlib.units.AxisInfo`
            Information to support default tick labeling

        )majlocmajfmt)r   r   StrCategoryLocatorr$   StrCategoryFormatterr   ZAxisInfo)r'   r(   r+   r,   r   r   r   axisinfoG   s    


zStrCategoryConverter.axisinfoc                 C   s,   |j du r|t|  n|j |  |j S )aO  
        Set and update the `~matplotlib.axis.Axis` units.

        Parameters
        ----------
        data : str or iterable of str
        axis : `~matplotlib.axis.Axis`
            axis on which the data is plotted

        Returns
        -------
        `.UnitData`
            object storing string to integer mapping
        N)r   Z	set_unitsUnitDatar"   )datar(   r   r   r   default_unitsb   s    
z"StrCategoryConverter.default_unitsc                 C   s   t | dstd|  dd S )Nr$   zProvided unit "zU" is not valid for a categorical converter, as it does not have a _mapping attribute.)hasattrr   )r'   r   r   r   r   y   s    

z#StrCategoryConverter._validate_unitN)__name__
__module____qualname__staticmethodr*   r/   r2   r   r   r   r   r   r      s   
+

r   c                   @   s(   e Zd ZdZdd Zdd Zdd ZdS )	r-   z1Tick at every integer mapping of the string data.c                 C   s
   || _ dS z
        Parameters
        ----------
        units_mapping : dict
            Mapping of category names (str) to indices (int).
        N_unitsselfZunits_mappingr   r   r   __init__   s    zStrCategoryLocator.__init__c                 C   s   t | j S r	   )listr:   r)   r<   r   r   r   __call__   s    zStrCategoryLocator.__call__c                 C   s   |  S r	   r   )r<   vminvmaxr   r   r   tick_values   s    zStrCategoryLocator.tick_valuesN)r4   r5   r6   __doc__r=   r@   rC   r   r   r   r   r-      s   	r-   c                   @   s6   e Zd ZdZdd ZdddZdd Zed	d
 ZdS )r.   z0String representation of the data at every tick.c                 C   s
   || _ dS r8   r9   r;   r   r   r   r=      s    zStrCategoryFormatter.__init__Nc                 C   s   |  |gd S )Nr   )format_ticks)r<   xposr   r   r   r@      s    zStrCategoryFormatter.__call__c                    s*   fddj  D   fdd|D S )Nc                    s   i | ]\}}|  |qS r   )_text)r   kr   r?   r   r   
<dictcomp>       z5StrCategoryFormatter.format_ticks.<locals>.<dictcomp>c                    s   g | ]}  t|d qS ) )getround)r   val)	r_mappingr   r   
<listcomp>   rK   z5StrCategoryFormatter.format_ticks.<locals>.<listcomp>)r:   items)r<   r)   r   )rP   r<   r   rE      s    z!StrCategoryFormatter.format_ticksc                 C   s.   t | tr| jdd} nt | ts*t| } | S )z0Convert text values into utf-8 or ascii strings.zutf-8)encoding)r   r   decoder   r&   r   r   r   rH      s
    

zStrCategoryFormatter._text)N)	r4   r5   r6   rD   r=   r@   rE   r7   rH   r   r   r   r   r.      s   	
r.   c                   @   s*   e Zd ZdddZedd Zdd ZdS )	r0   Nc                 C   s(   t  | _t | _|dur$| | dS )z
        Create mapping between unique categorical values and integer ids.

        Parameters
        ----------
        data : iterable
            sequence of string values
        N)r   r$   	itertoolscount_counterr"   )r<   r1   r   r   r   r=      s    	
zUnitData.__init__c                 C   sP   zt |  W n> tyJ   ztj|  W n ttfyD   Y Y dS 0 Y n0 dS )zY
        Helper method to check whether a string can be parsed as float or date.
        FT)r!   r   dateutilparserparse	TypeError)rO   r   r   r   _str_is_convertible   s    zUnitData._str_is_convertiblec                 C   sz   t t j|td}d}t|D ]>}tjtt	f|d |rF| 
|}|| jvr"t| j| j|< q"|jrv|rvtd dS )z
        Map new values to integer identifiers.

        Parameters
        ----------
        data : iterable of str or bytes

        Raises
        ------
        TypeError
            If elements in *data* are neither str nor bytes.
        r   TrU   zUsing categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.N)r   r   r   r   r   fromkeysr   check_isinstancer   r   r]   r$   nextrX   r   _loginfo)r<   r1   convertiblerO   r   r   r   r"      s    


zUnitData.update)N)r4   r5   r6   r=   r7   r]   r"   r   r   r   r   r0      s   

r0   )rD   collectionsr   dateutil.parserrY   rV   loggingnumpyr   
matplotlibr   r   r   	getLoggerr4   ra   r
   r   Locatorr-   	Formatterr.   r0   registryr   str_r   bytes_r   r   r   r   <module>   s   
g>