Python Answers

How to iterate over rows in a DataFrame in Python Pandas?

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To iterate over rows in a DataFrame in Python Pandas, we can use a for loop.

For instance, we write

import pandas as pd

df = pd.DataFrame({'c1': [10, 11, 12], 'c2': [100, 110, 120]})
df = df.reset_index()  # make sure indexes pair with number of rows
for index, row in df.iterrows():
    print(row['c1'], row['c2'])

to loop through the df dataframe with iterator returned by the df.iterrows method.

We use the row object to get the rows and the keys to get the values.

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