How to Get Index of Pandas DataFrame?

Pandas DataFrame – Get Index

To get the index of a Pandas DataFrame, call DataFrame.index property. The DataFrame.index property returns an Index object representing the index of this DataFrame.

The syntax to use index property of a DataFrame is

DataFrame.index

The index property returns an object of type Index. We could access individual index using any looping technique in Python.

In the following program, we have a DataFrame with no index specified. Since no index is specified, a range that starts at 0 and increments in steps of 1 would be assigned to the DataFrame. Let us get the index of this DataFrame using DataFrame.index.

Python Program

import pandas as pd

df = pd.DataFrame(
	[[88, 72, 67],
	[23, 78, 62],
	[55, 54, 76]],
	columns=['a', 'b', 'c'])

index = df.index
print(index)

Run

Output

RangeIndex(start=0, stop=3, step=1)

We can print the elements of Index object using a for loop as shown in the following.

Python Program

import pandas as pd

df = pd.DataFrame(
	[[88, 72, 67],
	[23, 78, 62],
	[55, 54, 76]],
	columns=['a', 'b', 'c'])

index = df.index

for i in index:
    print(i)

Run

Output

0
1
2

Let us consider another example, where we have set a specific index for a DataFrame. And we are going to get the index of this DataFrame using DataFrame.index.

Python Program

import pandas as pd

df = pd.DataFrame(
    [[88, 72, 67],
    [23, 78, 62],
    [55, 54, 76]],
    index=[2, 4, 9],
    columns=['a', 'b', 'c'])

index = df.index
print(index)

Run

Output

Int64Index([2, 4, 9], dtype='int64')

Summary

In this tutorial of Python Examples, we learned how to get the index of a DataFrame using DataFrame.index property.