o
    dE                     @  sT  d Z ddlmZ ddlZddlmZmZ ddlZddlm	Z	 ddl
Z
ddlmZmZmZmZmZmZmZmZmZmZ ddlZddlZddlmZ ddlmZmZmZmZm Z  dd	l!m"Z" dd
l#m$Z$m%Z%m&Z&m'Z' ddl(m)Z)m*Z*m+Z+ ddl,m-Z- ddl.m/Z/ erddl0m1Z1 dd Z2dd Z3dddZ4dd Z5dd Z6dddZ7ddd Z8dd!d"Z9dd#d$Z:dd&d'Z;e	(ddd.d/Z<eddd2d/Z<ddd3d/Z<	ddd6d7Z=d8d9 Z>dd=d>Z?dd?d@Z@ddAdBZAddDdEZBddGdHZCdIdJ ZDdKdL ZEdMdN ZFeddQdRZGeddUdRZGdddWdRZGdd[d\ZHd]d^ ZIddadbZJejKddfdgZLddkdlZMejNejNejOejPjQejRejSjQiZTi ejNdmejOdnejRdoejUdpejVdqejNdmejWdmejXdrejYdrejZdsej[dsej\dtej]dtej^duej_duej`dvejadvejOdnejbdnejRdoejcdoejddwejedwejfdxejgdxiZhdd|d}Zid~d ZjdddZkdS )zh
Misc tools for implementing data structures

Note: pandas.core.common is *not* part of the public API.
    )annotationsN)abcdefaultdict)partial)
TYPE_CHECKINGAnyCallable
Collection	GeneratorHashableIterableSequencecastoverload)lib)AnyArrayLike	ArrayLikeNpDtypeRandomStateT)'construct_1d_object_array_from_listlike)is_array_likeis_bool_dtypeis_extension_array_dtype
is_integer)ABCExtensionArrayABCIndex	ABCSeries)iterable_not_string)isna)Indexc                 c  s.    | D ]}t |rt|E dH  q|V  qdS )a  
    Flatten an arbitrarily nested sequence.

    Parameters
    ----------
    line : sequence
        The non string sequence to flatten

    Notes
    -----
    This doesn't consider strings sequences.

    Returns
    -------
    flattened : generator
    N)r   flatten)lineelement r$   W/var/www/html/visualizacion-main/env/lib/python3.10/site-packages/pandas/core/common.pyr!   <   s   r!   c              	   C  sH   | d j }| dd  D ]}z	|j |krd }W q ty!   d }Y qw |S )Nr      )name
ValueError)objsr'   objr$   r$   r%   consensus_name_attrT   s   

r+   keyr   returnboolc                 C  s   t | ttjtfst| rBt| jrB| jtjkr9t	| }t
|s7d}t
|dkr5t| r5t|dS dS t| jr@dS dS t | tr\t| dkr\t| turWt| } t
| S dS )a  
    Check whether `key` is a valid boolean indexer.

    Parameters
    ----------
    key : Any
        Only list-likes may be considered boolean indexers.
        All other types are not considered a boolean indexer.
        For array-like input, boolean ndarrays or ExtensionArrays
        with ``_is_boolean`` set are considered boolean indexers.

    Returns
    -------
    bool
        Whether `key` is a valid boolean indexer.

    Raises
    ------
    ValueError
        When the array is an object-dtype ndarray or ExtensionArray
        and contains missing values.

    See Also
    --------
    check_array_indexer : Check that `key` is a valid array to index,
        and convert to an ndarray.
    z=Cannot mask with non-boolean array containing NA / NaN valuesbooleanFTr   )
isinstancer   npndarrayr   r   r   dtypeobject_asarrayr   is_bool_arrayinfer_dtyper   anyr(   r   listlentypeis_bool_list)r,   	key_arrayna_msgr$   r$   r%   is_bool_indexer_   s,   


	

r?   c                 C  s   t | r|  rtd| S )z
    Disallow indexing with a float key, even if that key is a round number.

    Parameters
    ----------
    val : scalar

    Returns
    -------
    outval : scalar
    zYIndexing with a float is no longer supported. Manually convert to an integer key instead.)r   is_floatr   
IndexError)valr$   r$   r%   cast_scalar_indexer   s
   rC   c                  G     dd | D S )zL
    Returns a generator consisting of the arguments that are not None.
    c                 s  s    | ]	}|d ur|V  qd S Nr$   .0argr$   r$   r%   	<genexpr>   s    znot_none.<locals>.<genexpr>r$   argsr$   r$   r%   not_none      rL   c                  G     t dd | D S )z?
    Returns a boolean indicating if any argument is None.
    c                 s      | ]}|d u V  qd S rE   r$   rF   r$   r$   r%   rI          zany_none.<locals>.<genexpr>r8   rJ   r$   r$   r%   any_none      rR   c                  G  rN   )zA
    Returns a boolean indicating if all arguments are None.
    c                 s  rO   rE   r$   rF   r$   r$   r%   rI      rP   zall_none.<locals>.<genexpr>allrJ   r$   r$   r%   all_none   rS   rV   c                  G  rN   )zC
    Returns a boolean indicating if any argument is not None.
    c                 s      | ]}|d uV  qd S rE   r$   rF   r$   r$   r%   rI      rP   zany_not_none.<locals>.<genexpr>rQ   rJ   r$   r$   r%   any_not_none   rS   rX   c                  G  rN   )zE
    Returns a boolean indicating if all arguments are not None.
    c                 s  rW   rE   r$   rF   r$   r$   r%   rI      rP   zall_not_none.<locals>.<genexpr>rT   rJ   r$   r$   r%   all_not_none   rS   rY   intc                  G  rN   )z;
    Returns the count of arguments that are not None.
    c                 s  rW   rE   r$   rG   xr$   r$   r%   rI      rP   z!count_not_none.<locals>.<genexpr>)sumrJ   r$   r$   r%   count_not_none   rS   r^   .valuesArrayLike | list | tuple | zipr3   NpDtype | None
np.ndarrayc                 C     d S rE   r$   r_   r3   r$   r$   r%   asarray_tuplesafe   s   re   r   r   c                 C  rc   rE   r$   rd   r$   r$   r%   re         c                 C  s   t | ttfst| dst| } nt | tr| jS t | tr)|tjtfv r)t	| S z$t
  t
dtj tj| |d}W d    n1 sGw   Y  W n tyZ   t	|  Y S w t|jjtritj| td}|jdkrydd | D } t	| }|S )N	__array__ignorer3      c                 S  s   g | ]}t |qS r$   )tupler[   r$   r$   r%   
<listcomp>   s    z%asarray_tuplesafe.<locals>.<listcomp>)r0   r9   rk   hasattrr   _valuesr1   r4   objectr   warningscatch_warningssimplefilterVisibleDeprecationWarningr5   r(   
issubclassr3   r;   strndim)r_   r3   resultr$   r$   r%   re      s*   



labelsnp.ndarray | Iterablec                 C  sZ   t | ttfr
| g} t | ttjfs%zt| } W n ty$   | g} Y nw t| |d} | S )z
    Transform label or iterable of labels to array, for use in Index.

    Parameters
    ----------
    dtype : dtype
        If specified, use as dtype of the resulting array, otherwise infer.

    Returns
    -------
    array
    ri   )r0   ru   rk   r9   r1   r2   	TypeErrorre   )rx   r3   r$   r$   r%   index_labels_to_array  s   
r{   c                 C  s    | d urt | ttfs| gS | S rE   )r0   rk   r9   r*   r$   r$   r%   maybe_make_list"  s   r}   r*   Iterable[T] | TCollection[T] | Tc                 C  s.   t | tjrt | tjst| S tt| } | S )zB
    If obj is Iterable but not list-like, consume into list.
    )r0   r   r   Sizedr9   r   r	   r|   r$   r$   r%   maybe_iterable_to_list(  s   
r   c                 C  s(   t | to| jdu o| jdu o| jdu S )z
    We have a null slice.
    Nr0   slicestartstopstepr|   r$   r$   r%   is_null_slice2     
r   c                 C  s*   t | to| jduo| jduo| j| jkS )z>
    We have an empty slice, e.g. no values are selected.
    N)r0   r   r   r   r|   r$   r$   r%   is_empty_slice>  s   

r   
list[bool]c                 C  rD   )zX
    Find non-trivial slices in "line": return a list of booleans with same length.
    c                 S  s    g | ]}t |tot| qS r$   )r0   r   r   )rG   kr$   r$   r%   rl   N  s     z"is_true_slices.<locals>.<listcomp>r$   )r"   r$   r$   r%   is_true_slicesJ  rM   r   r"   c                 C  s(   t | to| jdko| j|ko| jdu S )z&
    We have a full length slice.
    r   Nr   )r*   r"   r$   r$   r%   is_full_sliceR  r   r   c                 C  s>   t | dr
t| dS t| trt| jS t| rt| jS d S )N__name__)	rm   getattrr0   r   get_callable_namefunccallabler;   r   r|   r$   r$   r%   r   ^  s   




r   c                 K  s   t | r| |fi |S | S )z
    Evaluate possibly callable input using obj and kwargs if it is callable,
    otherwise return as it is.

    Parameters
    ----------
    maybe_callable : possibly a callable
    obj : NDFrame
    **kwargs
    )r   )maybe_callabler*   kwargsr$   r$   r%   apply_if_callableo  s   r   c                 C  sV   t | st| trtt| jS t| } t| tj	s!t
d|  | tkr)t
d| S )a  
    Helper function to standardize a supplied mapping.

    Parameters
    ----------
    into : instance or subclass of collections.abc.Mapping
        Must be a class, an initialized collections.defaultdict,
        or an instance of a collections.abc.Mapping subclass.

    Returns
    -------
    mapping : a collections.abc.Mapping subclass or other constructor
        a callable object that can accept an iterator to create
        the desired Mapping.

    See Also
    --------
    DataFrame.to_dict
    Series.to_dict
    zunsupported type: z/to_dict() only accepts initialized defaultdicts)inspectisclassr0   r   r   default_factoryr;   rt   r   Mappingrz   )intor$   r$   r%   standardize_mapping  s   

r   statenp.random.Generatorc                 C  rc   rE   r$   r   r$   r$   r%   random_state  rf   r   Gint | ArrayLike | np.random.BitGenerator | np.random.RandomState | Nonenp.random.RandomStatec                 C  rc   rE   r$   r   r$   r$   r%   r     s   RandomState | Nonec                 C  sd   t | st| st| tjjrtj| S t| tjjr| S t| tjjr'| S | du r.tjS td)a  
    Helper function for processing random_state arguments.

    Parameters
    ----------
    state : int, array-like, BitGenerator, Generator, np.random.RandomState, None.
        If receives an int, array-like, or BitGenerator, passes to
        np.random.RandomState() as seed.
        If receives an np.random RandomState or Generator, just returns that unchanged.
        If receives `None`, returns np.random.
        If receives anything else, raises an informative ValueError.

        .. versionchanged:: 1.1.0

            array-like and BitGenerator object now passed to np.random.RandomState()
            as seed

        Default None.

    Returns
    -------
    np.random.RandomState or np.random.Generator. If state is None, returns np.random

    Nzdrandom_state must be an integer, array-like, a BitGenerator, Generator, a numpy RandomState, or None)	r   r   r0   r1   randomBitGeneratorr   r
   r(   r   r$   r$   r%   r     s    r   /Callable[..., T] | tuple[Callable[..., T], str]r   c                 O  sX   t |tr!|\}}||v r| d}t|| ||< ||i |S || g|R i |S )as  
    Apply a function ``func`` to object ``obj`` either by passing obj as the
    first argument to the function or, in the case that the func is a tuple,
    interpret the first element of the tuple as a function and pass the obj to
    that function as a keyword argument whose key is the value of the second
    element of the tuple.

    Parameters
    ----------
    func : callable or tuple of (callable, str)
        Function to apply to this object or, alternatively, a
        ``(callable, data_keyword)`` tuple where ``data_keyword`` is a
        string indicating the keyword of ``callable`` that expects the
        object.
    *args : iterable, optional
        Positional arguments passed into ``func``.
    **kwargs : dict, optional
        A dictionary of keyword arguments passed into ``func``.

    Returns
    -------
    object : the return type of ``func``.
    z/ is both the pipe target and a keyword argument)r0   rk   r(   )r*   r   rK   r   targetmsgr$   r$   r%   pipe  s   

r   c                   s$    fdd}t  tjtfr|S  S )zv
    Returns a function that will map names/labels, dependent if mapper
    is a dict, Series or just a function.
    c                   s   |  v r |  S | S rE   r$   )r\   mapperr$   r%   f  s   zget_rename_function.<locals>.f)r0   r   r   r   )r   r   r$   r   r%   get_rename_function	  s   r   "Hashable | Iterable | AnyArrayLikelist | AnyArrayLikec                 C  s>   t | ttjtttfr| S t | tjrt | t	st| S | gS )z
    Convert list-like or scalar input to list-like. List, numpy and pandas array-like
    inputs are returned unmodified whereas others are converted to list.
    )
r0   r9   r1   r2   r   r   r   r   r   ru   )r_   r$   r$   r%   convert_to_list_like  s
   r   attrru   Generator[None, None, None]c              
   c  s@    t | |}t| || z| V  W t| || dS t| || w )zTemporarily set attribute on an object.

    Args:
        obj: Object whose attribute will be modified.
        attr: Attribute to modify.
        value: Value to temporarily set attribute to.

    Yields:
        obj with modified attribute.
    N)r   setattr)r*   r   value	old_valuer$   r$   r%   temp_setattr'  s   
r   indexr    Nonec                 C  s2   t | t |krtdt |  dt | ddS )zC
    Check the length of data matches the length of the index.
    zLength of values (z") does not match length of index ()N)r:   r(   )datar   r$   r$   r%   require_length_match;  s   r   r]   maxminrU   r8   meanprodstdvarmediancumprodcumsumrH   r   
str | Nonec                 C  s
   t | S )zH
    if we define an internal function for this argument, return it
    )_cython_tablegetrH   r$   r$   r%   get_cython_funcn  s   
r   c                 C  s   t | | S )zd
    if we define a builtin function for this argument, return it,
    otherwise return the arg
    )_builtin_tabler   r   r$   r$   r%   is_builtin_funcu  s   r   namesSequence[Hashable | None]list[Hashable]c                 C  s   dd t | D S )a,  
    If a name is missing then replace it by level_n, where n is the count

    .. versionadded:: 1.4.0

    Parameters
    ----------
    names : list-like
        list of column names or None values.

    Returns
    -------
    list
        list of column names with the None values replaced.
    c                 S  s&   g | ]\}}|d u rd| n|qS )Nlevel_r$   )rG   ir'   r$   r$   r%   rl     s   & z&fill_missing_names.<locals>.<listcomp>)	enumerate)r   r$   r$   r%   fill_missing_names}  s   r   )r,   r   r-   r.   )r-   r.   )r-   rZ   ).)r_   r`   r3   ra   r-   rb   )r_   r   r3   ra   r-   r   rE   )rx   ry   r3   ra   r-   rb   )r*   r~   r-   r   )r-   r   )r"   rZ   r-   r.   )r   r   r-   r   )r   r   r-   r   )r   r   )r   r   r-   r   )r_   r   r-   r   )r   ru   r-   r   )r   r    r-   r   )rH   r   r-   r   )r   r   r-   r   )l__doc__
__future__r   builtinscollectionsr   r   
contextlib	functoolsr   r   typingr   r   r   r	   r
   r   r   r   r   r   rp   numpyr1   pandas._libsr   pandas._typingr   r   r   r   r   pandas.core.dtypes.castr   pandas.core.dtypes.commonr   r   r   r   pandas.core.dtypes.genericr   r   r   pandas.core.dtypes.inferencer   pandas.core.dtypes.missingr   pandasr    r!   r+   r?   rC   rL   rR   rV   rX   rY   r^   re   r{   r}   r   r   r   r   r   r   r   r   r   r   r   r   contextmanagerr   r   r]   r   maximumreducer   minimumr   rU   r8   nansumr   nanmeanr   nanprodr   nanstdr   nanvarr   	nanmediannanmaxnanminr   
nancumprodr   	nancumsumr   r   r   r   r$   r$   r$   r%   <module>   s    0
7




	!





 
8%



	

