Python Add List to Existing DataFrame

To add a list to an existing dataframe in Python, you can use the Pandas library. Here’s an example of how you can do it:

import pandas as pd

# Create an existing dataframe
data = {'Name': ['John', 'Emma', 'Ryan'],
        'Age': [25, 28, 30]}
df = pd.DataFrame(data)
# Create a list to add to the dataframe
new_list = ['USA', 'Canada', 'UK']
# Add the list as a new column to the dataframe
df['Country'] = new_list
# Print the updated dataframe
print(df)

Output:

Name  Age Country
0  John   25     USA
1  Emma   28  Canada
2  Ryan   30      UK

In this example, we first create an existing dataframe with columns “Name” and “Age”. Then, we define a new list called new_list containing the values we want to add to the dataframe. Finally, we add the new list as a new column called "Country" using the square bracket notation df['Country'] = new_list. The resulting dataframe will contain the original columns along with the new "Country" column.

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