pandas loop through rows

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Silas
18 Mar 2019
1for index, row in df.iterrows():
2    print(row['c1'], row['c2'])
3
4Output: 
5   10 100
6   11 110
7   12 120
source
Sana
14 Oct 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
Soan
07 Jun 2017
1import pandas as pd
2import numpy as np
3
4df = pd.DataFrame({'c1': [10, 11, 12], 'c2': [100, 110, 120]})
5
6for index, row in df.iterrows():
7    print(row['c1'], row['c2'])
8
source
Porter
28 Oct 2016
1>>> df = pd.DataFrame([[1, 1.5]], columns=['int', 'float'])
2>>> row = next(df.iterrows())[1]
3>>> row
4int      1.0
5float    1.5
6Name: 0, dtype: float64
7>>> print(row['int'].dtype)
8float64
9>>> print(df['int'].dtype)
10int64
11
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