o
    h                     @   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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jej<  ej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cbook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   sf   |du rt dt| ttj| td}|| tj|j	j
tgd|}t| s/|S |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 `~numpy.ndarray` of float
        NzMissing category information for StrCategoryConverter; this might be caused by unintendedly mixing categorical and numeric datadtype)otypesr   )
ValueErrorr   _validate_unitnp
atleast_1darrayobjectupdate	vectorize_mapping__getitem__floatr   is_scalar_or_string)valueunitaxisvaluess r   g/var/www/html/construction_image-detection-poc/venv/lib/python3.10/site-packages/matplotlib/category.py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   AxisInfo)r   r   r   r    r   r   r   axisinfo=   s   


zStrCategoryConverter.axisinfoc                 C   s0   |j du r|t|  |j S |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   	set_unitsUnitDatar   )datar   r   r   r   default_unitsX   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   o   s
   

z#StrCategoryConverter._validate_unitN)__name__
__module____qualname__staticmethodr   r$   r(   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   
   || _ dS z
        Parameters
        ----------
        units_mapping : dict
            Mapping of category names (str) to indices (int).
        N_unitsselfunits_mappingr   r   r   __init__y      
zStrCategoryLocator.__init__c                 C   s   t | j S N)listr1   r   r3   r   r   r   __call__   s   zStrCategoryLocator.__call__c                 C   s   |  S r7   r   )r3   vminvmaxr   r   r   tick_values   s   zStrCategoryLocator.tick_valuesN)r*   r+   r,   __doc__r5   r:   r=   r   r   r   r   r!   w   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   r.   r/   r0   r2   r   r   r   r5      r6   zStrCategoryFormatter.__init__Nc                 C   s   |  |gd S )Nr   )format_ticks)r3   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).0kvr9   r   r   
<dictcomp>       z5StrCategoryFormatter.format_ticks.<locals>.<dictcomp>c                    s   g | ]
}  t|d qS ) )getround)rC   val)	r_mappingr   r   
<listcomp>   rG   z5StrCategoryFormatter.format_ticks.<locals>.<listcomp>)r1   items)r3   r   r   )rL   r3   r   r?      s   z!StrCategoryFormatter.format_ticksc                 C   s0   t | tr| jdd} | S t | tst| } | S )z0Convert text values into utf-8 or ascii strings.zutf-8)encoding)
isinstancebytesdecodestrr   r   r   r   rB      s   

zStrCategoryFormatter._textr7   )	r*   r+   r,   r>   r5   r:   r?   r-   rB   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 )	r&   Nc                 C   s,   t  | _t | _|dur| | dS 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   )r3   r'   r   r   r   r5      s
   	
zUnitData.__init__c                 C   sN   zt |  W dS  ty&   z
tj|  W Y dS  ttfy%   Y Y dS w w )zY
        Helper method to check whether a string can be parsed as float or date.
        FT)r   r   dateutilparserparse	TypeError)rK   r   r   r   _str_is_convertible   s   
zUnitData._str_is_convertiblec                 C   s   t t j|td}d}t|D ]}tjtt	f|d |r#| 
|}|| jvr0t| j| j|< q|jr=|r?td dS dS 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   TrT   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_isinstancerS   rQ   r\   r   nextrW   size_loginfo)r3   r'   convertiblerK   r   r   r   r      s   


zUnitData.updater7   )r*   r+   r,   r5   r-   r\   r   r   r   r   r   r&      s
    

r&   )r>   collectionsr   dateutil.parserrX   rU   loggingnumpyr   
matplotlibr   r   r   r   	getLoggerr*   ra   ConversionInterfacer   Locatorr!   	Formatterr"   r&   registryrS   str_rQ   bytes_r   r   r   r   <module>   s$    
]B
