import pandas as pd import numpy as np df = pd.DataFrame({'c1': [10, 11, 12], 'c2': [100, 110, 120]}) for index, row in df.iterrows(): print(row['c1'], row['c2'])
for index, row in df.iterrows(): print(row['c1'], row['c2']) Output: 10 100 11 110 12 120
>>> df = pd.DataFrame([[1, 1.5]], columns=['int', 'float']) >>> row = next(df.iterrows())[1] >>> row int 1.0 float 1.5 Name: 0, dtype: float64 >>> print(row['int'].dtype) float64 >>> print(df['int'].dtype) int64
for index, row in df.iterrows(): print(row['c1'], row['c2'])
for index, row in flights.head(n=2).iterrows(): print(index, row)