pandas loop through rows
for index, row in df.iterrows(): print(row['c1'], row['c2']) Output: 10 100 11 110 12 120
pandas loop through rows
for index, row in df.iterrows(): print(row['c1'], row['c2']) Output: 10 100 11 110 12 120
iterate over rows dataframe
df = pd.DataFrame([{'c1':10, 'c2':100}, {'c1':11,'c2':110}, {'c1':12,'c2':120}]) for index, row in df.iterrows(): print(row['c1'], row['c2'])
pandas iterate rows
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'])
how to iterate through a pandas dataframe
# creating a list of dataframe columns columns = list(df) for i in columns: # printing the third element of the column print (df[i][2])
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