pandas 1.4.2

ParametersRaisesReturns
reindex(self, target, method=None, level=None, limit=None, tolerance=None) -> 'tuple[Index, npt.NDArray[np.intp] | None]'

Parameters

target : an iterable
method : {None, 'pad'/'ffill', 'backfill'/'bfill', 'nearest'}, optional
  • default: exact matches only.

  • pad / ffill: find the PREVIOUS index value if no exact match.

  • backfill / bfill: use NEXT index value if no exact match

  • nearest: use the NEAREST index value if no exact match. Tied distances are broken by preferring the larger index value.

level : int, optional

Level of multiindex.

limit : int, optional

Maximum number of consecutive labels in target to match for inexact matches.

tolerance : int or float, optional

Maximum distance between original and new labels for inexact matches. The values of the index at the matching locations must satisfy the equation abs(index[indexer] - target) <= tolerance .

Tolerance may be a scalar value, which applies the same tolerance to all values, or list-like, which applies variable tolerance per element. List-like includes list, tuple, array, Series, and must be the same size as the index and its dtype must exactly match the index's type.

Raises

TypeError

If method passed along with level .

ValueError

If non-unique multi-index

ValueError

If non-unique index and method or limit passed.

Returns

new_index : pd.Index

Resulting index.

indexer : np.ndarray[np.intp] or None

Indices of output values in original index.

Create index with target's values.

See Also

DataFrame.reindex
Series.reindex

Examples

This example is valid syntax, but we were not able to check execution
>>> idx = pd.Index(['car', 'bike', 'train', 'tractor'])
... idx Index(['car', 'bike', 'train', 'tractor'], dtype='object')
This example is valid syntax, but we were not able to check execution
>>> idx.reindex(['car', 'bike'])
(Index(['car', 'bike'], dtype='object'), array([0, 1]))
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File: /pandas/core/indexes/base.py#4109
type: <class 'function'>
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