Pandas Loop Dataframe

Feb 21, 2021
import pandas as pd items = [  {'name': 'Desmond', 'rank': 1},  {'name': 'Jack', 'rank': 2},  {'name': 'Elon', 'rank': 3}]df = pd.DataFrame(items) for index, row in df.iterrows():  print(index, row['name'], row['rank'])

or

for i in range(len(df)):  print(df.index[i], df['name'][i], df['rank'][i])

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✨ By Desmond Lua

A dream boy who enjoys making apps, travelling and making youtube videos. Follow me on @d_luaz

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