How to Add a New Column with Static Data to a Pandas DataFrame?

Syntax

 df[new_column_name] = 'value'

 

Example

df['Country'] = 'India'

 

Above statement add new column ‘Country’ to the DataFrame with a static value ‘India’.

add_static_new_column.py

import pandas as pd

# Create a sample DataFrame
data = {'Name': ['Krishna', 'Ram', 'Joel', 'Gopi', 'Jitendra', "Raj"],
        'Age': [34, 25, 29, 41, 52, 23],
        'City': ['Bangalore', 'Chennai', 'Hyderabad', 'Hyderabad', 'Bangalore', 'Chennai']}

df = pd.DataFrame(data)
print(df)

# Add new column Country with value 'India'
print('\nAdd new column Country with value "India"')
df['Country'] = 'India'
print(df)

Output

       Name  Age       City
0   Krishna   34  Bangalore
1       Ram   25    Chennai
2      Joel   29  Hyderabad
3      Gopi   41  Hyderabad
4  Jitendra   52  Bangalore
5       Raj   23    Chennai

Add new column Country with value "India"
       Name  Age       City Country
0   Krishna   34  Bangalore   India
1       Ram   25    Chennai   India
2      Joel   29  Hyderabad   India
3      Gopi   41  Hyderabad   India
4  Jitendra   52  Bangalore   India
5       Raj   23    Chennai   India

As you see the output,

a.   new column ‘Country’ is add with a static value ‘India’ across all the rows.

b.   New column is added after all the columns (in our case at index 3)

 

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