Pandas Series: filter() function
Subset rows or columns of Pandas dataframe
The filter() function is used to subset rows or columns of dataframe according to labels in the specified index.
Note that this routine does not filter a dataframe on its contents. The filter is applied to the labels of the index.
Series.filter(self, items=None, like=None, regex=None, axis=None)
|Name||Description||Type/Default Value||Required / Optional|
|items||Keep labels from axis which are in items.||list-like||Required|
|like||Keep labels from axis for which “like in label == True”.||string||Required|
|regex||Keep labels from axis for which re.search(regex, label) == True.||string (regular expression)||Required|
|axis||The axis to filter on. By default this is the info axis, ‘index’ for Series, ‘columns’ for DataFrame.||int or string axis name||Required|
Returns: same type as input object
Notes: The items, like, and regex parameters are enforced to be mutually exclusive.
axis defaults to the info axis that is used when indexing with .
Download the Pandas Series Notebooks from here.
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