get_level_values(self, level)
Length of returned vector is equal to the length of the index.
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
.
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).
Return vector of label values for requested level.
Create a MultiIndex:
This example is valid syntax, but we were not able to check execution>>> 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:
This example is valid syntax, but we were not able to check execution>>> mi.get_level_values(0) Index(['a', 'b', 'c'], dtype='object', name='level_1')This example is valid syntax, but we were not able to check execution
>>> 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 maybe casted to float
.
>>> pd.MultiIndex.from_arrays([[1, None, 2], [3, 4, 5]]).dtypes level_0 int64 level_1 int64 dtype: objectThis example is valid syntax, but we were not able to check execution
>>> pd.MultiIndex.from_arrays([[1, None, 2], [3, 4, 5]]).get_level_values(0) Float64Index([1.0, nan, 2.0], dtype='float64')See :
The following pages refer to to this document either explicitly or contain code examples using this.
pandas.core.indexes.base.Index._get_level_values
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