for index, row in df.iterrows():<br /> print(row[‘c1’], row[‘c2’])</p> <p>Output:<br /> 10 100<br /> 11 110<br /> 12 120

df = pd.DataFrame([{‘c1’:10, ‘c2’:100}, {‘c1′:11,’c2’:110}, {‘c1′:12,’c2’:120}])<br /> for index, row in df.iterrows():<br /> print(row[‘c1’], row[‘c2’])

import pandas as pd<br /> import numpy as np</p> <p>df = pd.DataFrame({‘c1’: [10, 11, 12], ‘c2’: [100, 110, 120]})</p> <p>for index, row in df.iterrows():<br /> print(row[‘c1’], row[‘c2’])<br />

df = pd.DataFrame({‘num_legs’: [4, 2], ‘num_wings’: [0, 2]},<br /> … index=[‘dog’, ‘hawk’])<br /> >>> df<br /> num_legs num_wings<br /> dog 4 0<br /> hawk 2 2<br /> >>> for row in df.itertuples():<br /> … print(row)<br /> …<br /> Pandas(Index=’dog’, num_legs=4, num_wings=0)<br /> Pandas(Index=’hawk’, num_legs=2, num_wings=2)

for index, row in df.iloc[50:100].iterrows()

import pandas as pd</p> <p>df = pd.DataFrame({‘c1’: [10, 11, 12], ‘c2’: [100, 110, 120]})<br /> df = df.reset_index() # make sure indexes pair with number of rows</p> <p>for index, row in df.iterrows():<br /> print(row[‘c1’], row[‘c2’])