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How to get the first column of a pandas DataFrame as a Series?

Given a Pandas DataFrame, we have to get the first column of a pandas DataFrame as a Series. By Pranit Sharma Last updated : September 22, 2023

Pandas is a special tool which allows us to perform complex manipulations of data effectively and efficiently. Inside pandas, we mostly deal with a dataset in the form of DataFrame.

Columns are the different fields which contains their particular values when we create a DataFrame. We can perform certain operations on both rows & column values.

Problem statement

Given a Pandas DataFrame, we have to get the first column of a pandas DataFrame as a Series.

Getting the first column of a pandas DataFrame as a Series

To get the first column of pandas DataFrame as a series, we will use pandas.DataFrame.iloc property. The iloc[] property gets, or sets, the value(s) of the specified indexes.

import pandas as pd

Let us understand with the help of an example,

Python program to get the first column of a pandas DataFrame as a Series

# Importing pandas package
import pandas as pd

# Creating a dictionary
d= {
    'Points':[10,20,30,15,25,35],
    'Assists':[2,2,3,3,4,4]
}

# Creating a DataFrame
df = pd.DataFrame(d)

# Display DataFrame
print("Created DataFrame\n",df,"\n")

# Get First column
first_col = df.iloc[:, 0]

# Display First column
print("First column:\n",first_col)

Output

The output of the above program is:

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