Series.filter

Series.filter(items: Sequence[str] | None = None, like: str | None = None, regex: str | None = None, axis: int | str | None = None) → Series[source]

Subset the dataframe rows or columns according to the specified index labels. Note that this routine does not filter a dataframe on its contents. The filter is applied to the labels of the index.

Parameters

itemslist-like: Keep labels from axis which are in items.
likestr: Keep labels from axis for which “like in label == True”.
regexstr (regular expression): Keep labels from axis for which re.search(regex, label) == True.
axis{0 or ‘index’, 1 or ‘columns’, None}, default None: The axis to filter on, expressed either as an index (int) or axis name (str). By default this is the info axis, ‘index’ for Series, ‘columns’ for DataFrame.

Returns

opensearch_py_ml.Series

See Also

:pandas_api_docs:`pandas.Series.filter`

Notes

The items, like, and regex parameters are enforced to be mutually exclusive.