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# pandas.MultiIndex.get_level_values

MultiIndex.get_level_values(level)

  Return vector of label values for requested level.

  Length of returned vector is equal to the length of the index.

  Parameters:
    levelint or str

      `level` is either the integer position of the level in the MultiIndex, or the name of the level.

  Returns:
    Index

      Values is a level of this MultiIndex converted to a single `Index` (or subclass thereof).

  Notes

  If the level contains missing values, the result may be casted to `float` with missing values specified as `NaN`. This is because the level is converted to a regular `Index`.

  Examples

  Create a MultiIndex:

      >>> mi = pd.MultiIndex.from_arrays((list('abc'), list('def')))
      >>> mi.names = ['level_1', 'level_2']

  Get level values by supplying level as either integer or name:

      >>> mi.get_level_values(0)
      Index(['a', 'b', 'c'], dtype='object', name='level_1')
      >>> mi.get_level_values('level_2')
      Index(['d', 'e', 'f'], dtype='object', name='level_2')

  If a level contains missing values, the return type of the level may be cast to `float`.

      >>> pd.MultiIndex.from_arrays([[1, None, 2], [3, 4, 5]]).dtypes
      level_0    int64
      level_1    int64
      dtype: object
      >>> pd.MultiIndex.from_arrays([[1, None, 2], [3, 4, 5]]).get_level_values(0)
      Index([1.0, nan, 2.0], dtype='float64')