loop through dataframe python code example

Example 1: pandas loop through rows

for index, row in df.iterrows():
    print(row['c1'], row['c2'])

Output: 
   10 100
   11 110
   12 120

Example 2: pandas iterrows

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'])

Example 3: 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'])

Example 4: python - iterate with the data frame

# Option 1
for row in df.iterrows():
    print row.loc[0,'A']
    print row.A
    print row.index()

# Option 2
for i in range(len(df)) : 
  print(df.iloc[i, 0], df.iloc[i, 2])

Example 5: python loop through column in dataframe

# Iterate over two given columns only from the dataframe
for column in empDfObj[['Name', 'City']]:
   # Select column contents by column name using [] operator
   columnSeriesObj = empDfObj[column]
   print('Colunm Name : ', column)
   print('Column Contents : ', columnSeriesObj.values)