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Classe « Index »

Méthode pandas.Index.asof_locs

Signature de la méthode asof_locs

def asof_locs(self, where: 'Index', mask: 'npt.NDArray[np.bool_]') -> 'npt.NDArray[np.intp]' 

Description

help(Index.asof_locs)

Return the locations (indices) of labels in the index.

As in the :meth:`pandas.Index.asof`, if the label (a particular entry in
``where``) is not in the index, the latest index label up to the
passed label is chosen and its index returned.

If all of the labels in the index are later than a label in ``where``,
-1 is returned.

``mask`` is used to ignore ``NA`` values in the index during calculation.

Parameters
----------
where : Index
    An Index consisting of an array of timestamps.
mask : np.ndarray[bool]
    Array of booleans denoting where values in the original
    data are not ``NA``.

Returns
-------
np.ndarray[np.intp]
    An array of locations (indices) of the labels from the index
    which correspond to the return values of :meth:`pandas.Index.asof`
    for every element in ``where``.

See Also
--------
Index.asof : Return the label from the index, or, if not present, the
    previous one.

Examples
--------
>>> idx = pd.date_range('2023-06-01', periods=3, freq='D')
>>> where = pd.DatetimeIndex(['2023-05-30 00:12:00', '2023-06-01 00:00:00',
...                           '2023-06-02 23:59:59'])
>>> mask = np.ones(3, dtype=bool)
>>> idx.asof_locs(where, mask)
array([-1,  0,  1])

We can use ``mask`` to ignore certain values in the index during calculation.

>>> mask[1] = False
>>> idx.asof_locs(where, mask)
array([-1,  0,  0])

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