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How to insert a given column at a specific position in a Pandas DataFrame?

Given a DataFrame, we have to insert a given column at a specific position.
Submitted by Pranit Sharma, on May 14, 2022

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. Sometimes we might need to insert a particular column at a specific index. We can achieve this task using pandas.DataFrame.insert() method.

pandas.DataFrame.insert() Method

This method is used to insert a new column in a DataFrame manually, below is the syntax:

DataFrame.insert(
    loc, 
    column, 
    value, 
    allow_duplicates=False
    )

# or
DataFrame.insert(loc='', column='')

Parameter(s):

• It takes a parameter loc which means the index where to inert the column.
• It takes another parameter column which is used to assign a name to the new column.

To work with pandas, we need to import pandas package first, below is the syntax:

import pandas as pd

Let us understand with the help of an example:

# Importing pandas package
import pandas as pd

# Create a dictionary for the DataFrame
dict = {
    'Name': ['Sudhir', 'Pranit', 'Ritesh','Sanskriti', 'Rani','Megha','Suman','Ranveer'],
    'Age': [16, 27, 27, 29, 29,22,19,20],
    'Marks': [40, 24, 50, 48, 33,20,29,48]
}

# Converting Dictionary to Pandas Dataframe
df = pd.DataFrame(dict)

# Display original DataFrame
print("Original DataFrame:\n",df,"\n")

# Creating values for a new column
list = ['Pass','Fail','Pass','Pass','Pass','Fail','Fail','Pass']

# Inserting New column
df.insert(loc=3,column='Status',value=list)

# Display modified DataFrame
print("Modified DataFrame:\n",df)

Output:

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