Return vector of label values for requested level.
Length of returned vector is equal to the length of the index.
level is either the integer position of the level in the MultiIndex, or the name of the level.
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')
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