bigframes.pandas.DataFrame.index

property DataFrame.index: Index

The index (row labels) of the DataFrame.

The index of a DataFrame is a series of labels that identify each row. The labels can be integers, strings, or any other hashable type. The index is used for label-based access and alignment, and can be accessed or modified using this attribute.

Examples:

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

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

[3 rows x 3 columns]
>>> df.index
Index([10, 20, 30], dtype='Int64')
>>> df.index.values
array([10, 20, 30])

Let’s try setting a new index for the dataframe and see that reflect via index property.

>>> df1 = df.set_index(["Name", "Location"])
>>> df1
                 Age
Name   Location
Alice  Seattle    25
Bob    New York   30
Aritra Kona       35

[3 rows x 1 columns]
>>> df1.index
MultiIndex([( 'Alice',  'Seattle'),
    (   'Bob', 'New York'),
    ('Aritra',     'Kona')],
   names=['Name', 'Location'])
>>> df1.index.values
array([('Alice', 'Seattle'), ('Bob', 'New York'), ('Aritra', 'Kona')],
    dtype=object)

Returns:

The index object of the DataFrame.

Return type:

Index