Add Prefix to Rows and Columns in Pandas

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In this post you will learn how to add prefix to rows and columns in pandas. To add prefix in pandas we use the add_prefix() method. When applies to series, the prefix gets added to the rows and when added to a dataframe it gets added to the columns of the dataframe.

Syntax –


prefix – The string to add before each label.

Examples –

1 . Add Prefix to rows or Index –

When we apply a prefix to a series, pandas applies it to the row labels.

import pandas as pd

s = pd.Series([1, 2, 3, 4, 5, 6, 7, 8, 9, 10])

Let’s add a prefix to each row labels


2 . Add Prefix to Columns –

When we applies a prefix to a DataFrame, Pandas applies it to the columns of the DataFrame.

Let’s create a DataFrame.

df = pd.DataFrame({'A':[1, 2, 3, 4, 5],
                  'B':[6, 7, 8, 9, 10],
                  'C':[11, 12, 13, 14, 15]})

Now, Let’s add a prefix to each columns of the DataFrame.


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