In Pandas, What Is The Method To Iterate Over Rows In A DataFrame Using Python?

To iterate over rows in a DataFrame in Pandas, you can use the iterrows() method. Here’s an example:

import pandas as pd

# Create a sample DataFrame
data = {'Name': ['John', 'Jane', 'Steve'],
        'Age': [28, 31, 35],
        'Country': ['USA', 'Canada', 'UK']}

df = pd.DataFrame(data)

# Iterate over rows using iterrows()
for index, row in df.iterrows():
    print('Index:', index)
    print('Name:', row['Name'])
    print('Age:', row['Age'])
    print('Country:', row['Country'])


Index: 0
Name: John
Age: 28
Country: USA

Index: 1
Name: Jane
Age: 31
Country: Canada

Index: 2
Name: Steve
Age: 35
Country: UK

In the above example, we first import the pandas library and create a sample DataFrame. Then we iterate over the rows using the iterrows() method. Inside the loop, we can access the index and values of each row using index and row variables, respectively. In this example, we print the index, Name, Age, and Country of each row.

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