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Current File : C:/Python312/Lib/site-packages/pandas/core/groupby/__pycache__/categorical.cpython-312.pyc
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-	�g���P�ddlmZddlZddlmZddlmZmZm	Z									dd�Z
y)�)�annotationsN)�unique1d)�Categorical�CategoricalDtype�recode_for_categoriesc� �|r�t|j�}||dk7}|rtj|�}|jj|�}t
|j|j|�}t||j��}tj||��|fS|r|dfStj|jj��}t|j|jdk7�}	|rtj|	�}	t|�t|	�kDr0tj||	d��}
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    Code the categories to ensure we can groupby for categoricals.

    If observed=True, we return a new Categorical with the observed
    categories only.

    If sort=False, return a copy of self, coded with categories as
    returned by .unique(), followed by any categories not appearing in
    the data. If sort=True, return self.

    This method is needed solely to ensure the categorical index of the
    GroupBy result has categories in the order of appearance in the data
    (GH-8868).

    Parameters
    ----------
    c : Categorical
    sort : bool
        The value of the sort parameter groupby was called with.
    observed : bool
        Account only for the observed values

    Returns
    -------
    Categorical
        If sort=False, the new categories are set to the order of
        appearance in codes (unless ordered=True, in which case the
        original order is preserved), followed by any unrepresented
        categories in the original order.
    Categorical or None
        If we are observed, return the original categorical, otherwise None
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