for row in column pandas

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Lucia
12 Nov 2019
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'])
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Kolby
15 May 2017
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
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