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# pandas.Series.xs

Series.xs(key, axis=0, level=None, drop_level=True)

  Return cross-section from the Series/DataFrame.

  This method takes a key argument to select data at a particular level of a MultiIndex.

  Parameters:
    key label or tuple of label

      Label contained in the index, or partially in a MultiIndex.

    axis{0 or ‘index’, 1 or ‘columns’}, default 0

      Axis to retrieve cross-section on.

    level object, defaults to first n levels (n=1 or len(key))

      In case of a key partially contained in a MultiIndex, indicate which levels are used. Levels can be referred by label or position.

    drop_level bool, default True

      If False, returns object with same levels as self.

  Returns:
    Series or DataFrame

      Cross-section from the original Series or DataFrame corresponding to the selected index levels.

  See also

  `DataFrame.loc`

    Access a group of rows and columns by label(s) or a boolean array.

  `DataFrame.iloc`

    Purely integer-location based indexing for selection by position.

  Notes

  xs can not be used to set values.

  MultiIndex Slicers is a generic way to get/set values on any level or levels. It is a superset of xs functionality, see MultiIndex Slicers.

  Examples

      >>> d = {
      ...     "num_legs": [4, 4, 2, 2],
      ...     "num_wings": [0, 0, 2, 2],
      ...     "class": ["mammal", "mammal", "mammal", "bird"],
      ...     "animal": ["cat", "dog", "bat", "penguin"],
      ...     "locomotion": ["walks", "walks", "flies", "walks"],
      ... }
      >>> df = pd.DataFrame(data=d)
      >>> df = df.set_index(["class", "animal", "locomotion"])
      >>> df
                                 num_legs  num_wings
      class  animal  locomotion
      mammal cat     walks              4          0
             dog     walks              4          0
             bat     flies              2          2
      bird   penguin walks              2          2

  Get values at specified index

      >>> df.xs("mammal")
                         num_legs  num_wings
      animal locomotion
      cat    walks              4          0
      dog    walks              4          0
      bat    flies              2          2

  Get values at several indexes

      >>> df.xs(("mammal", "dog", "walks"))
      num_legs     4
      num_wings    0
      Name: (mammal, dog, walks), dtype: int64

  Get values at specified index and level

      >>> df.xs("cat", level=1)
                         num_legs  num_wings
      class  locomotion
      mammal walks              4          0

  Get values at several indexes and levels

      >>> df.xs(("bird", "walks"), level=[0, "locomotion"])
               num_legs  num_wings
      animal
      penguin         2          2

  Get values at specified column and axis

      >>> df.xs("num_wings", axis=1)
      class   animal   locomotion
      mammal  cat      walks         0
              dog      walks         0
              bat      flies         2
      bird    penguin  walks         2
      Name: num_wings, dtype: int64