how to iterate pandas dataframe

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Kourtney
30 Sep 2018
1for index, row in df.iterrows():
2    print(row['c1'], row['c2'])
3
4Output: 
5   10 100
6   11 110
7   12 120
source
Victoria
30 Feb 2017
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
Abbi
17 Aug 2018
1# Option 1
2for row in df.iterrows():
3    print row.loc[0,'A']
4    print row.A
5    print row.index()
6
7# Option 2
8for i in range(len(df)) : 
9  print(df.iloc[i, 0], df.iloc[i, 2])
source
Gunnar
10 Apr 2016
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
Lia
21 Jun 2018
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
Ivan
12 Feb 2019
1# creating a list of dataframe columns 
2columns = list(df) 
3  
4for i in columns: 
5  
6    # printing the third element of the column 
7    print (df[i][2])
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