Iterate over rows dataframe

Pandas loop through rows

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

Output: 
   10 100
   11 110
   12 120

Source: stackoverflow.com

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'])

Source: stackoverflow.com

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'])

Source: stackoverflow.com

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])

Similar codes

20 votes123 views6 answers
Python append to list
Python
1 vote100 views1 answer
Django template decimal places
Python Django
2 votes137 views1 answer
How to check if all characters in string are same python
Python
2 votes145 views2 answers
Python random dictionary
Python
4 votes126 views1 answer
Python find most occuring element
Python
0 vote132 views1 answer
How to reverse array in ruby
Python
0 vote128 views1 answer
Selenium proxy with authentication
Python
1 vote126 views1 answer
Python random.choices vs random.sample
Python
4 votes137 views2 answers
Print prime numbers from 1 to 100 in python in single line
Python
0 vote122 views1 answer
Get information about dataframe
Python