pandas 1.4.2

ParametersReturns
searchsorted(self, value: 'NumpyValueArrayLike | ExtensionArray', side: "Literal['left', 'right']" = 'left', sorter: 'NumpySorter' = None) -> 'npt.NDArray[np.intp] | np.intp'

Find the indices into a sorted array :None:None:`self` (a) such that, if the corresponding elements in :None:None:`value` were inserted before the indices, the order of :None:None:`self` would be preserved.

Assuming that :None:None:`self` is sorted:

====== ================================ :None:None:`side` returned index i satisfies ====== ================================ left self[i-1] < value <= self[i] right self[i-1] <= value < self[i] ====== ================================

Parameters

value : array-like, list or scalar

Value(s) to insert into :None:None:`self`.

side : {'left', 'right'}, optional

If 'left', the index of the first suitable location found is given. If 'right', return the last such index. If there is no suitable index, return either 0 or N (where N is the length of :None:None:`self`).

sorter : 1-D array-like, optional

Optional array of integer indices that sort array a into ascending order. They are typically the result of argsort.

Returns

array of ints or int

If value is array-like, array of insertion points. If value is scalar, a single integer.

Find indices where elements should be inserted to maintain order.

See Also

numpy.searchsorted

Similar method from NumPy.

Examples

See :

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File: /pandas/core/arrays/_mixins.py#216
type: <class 'function'>
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