loop rought rows in pands

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María Camila
30 Sep 2020
1for index, row in df.iterrows():
2    print(row['c1'], row['c2'])
3
4Output: 
5   10 100
6   11 110
7   12 120
source
Paula
23 Jan 2020
1df = pd.DataFrame([{'c1':10, 'c2':100}, {'c1':11,'c2':110}, {'c1':12,'c2':120}])
2for index, row in df.iterrows():
3    print(row['c1'], row['c2'])
source
Stanislas
06 Apr 2017
1import pandas as pd
2
3df = pd.DataFrame({'c1': [10, 11, 12], 'c2': [100, 110, 120]})
4
5for index, row in df.iterrows():
6    print(row['c1'], row['c2'])
7
source
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