bigframes.pandas.Series.index

property Series.index: Index

The index (axis labels) of the Series.

The index of a Series is used to label and identify each element of the underlying data. The index can be thought of as an immutable ordered set (technically a multi-set, as it may contain duplicate labels), and is used to index and align data.

Examples:

You can access the index of a Series via index property.

>>> df = bpd.DataFrame({'Name': ['Alice', 'Bob', 'Aritra'],
...                     'Age': [25, 30, 35],
...                     'Location': ['Seattle', 'New York', 'Kona']},
...                    index=([10, 20, 30]))
>>> s = df["Age"]
>>> s
10    25
20    30
30    35
Name: Age, dtype: Int64
>>> s.index
Index([10, 20, 30], dtype='Int64')
>>> s.index.values
array([10, 20, 30])

Let’s try setting a multi-index case reflect via index property.

>>> df1 = df.set_index(["Name", "Location"])
>>> s1 = df1["Age"]
>>> s1
Name    Location
Alice   Seattle     25
Bob     New York    30
Aritra  Kona        35
Name: Age, dtype: Int64
>>> s1.index
MultiIndex([( 'Alice',  'Seattle'),
            (   'Bob', 'New York'),
            ('Aritra',     'Kona')],
          names=['Name', 'Location'])
>>> s1.index.values
array([('Alice', 'Seattle'), ('Bob', 'New York'), ('Aritra', 'Kona')],
      dtype=object)

Returns:

The index object of the Series.

Return type:

Index