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

3 votes215 views1 answer
Python initialize multidimensional list
Python
-1 vote193 views2 answers
Opencv python convert rgb to hsv
Python
2 votes258 views2 answers
Python "for in" loop to print the last item in the list
Python
6 votes197 views1 answer
Cors error in flask
Python
0 vote229 views1 answer
'ManyRelatedManager' object has no attribute name
Python
0 vote197 views1 answer
Pandas read_csv multiple separator
Python
0 vote214 views1 answer
Python r2 score
Python
0 vote212 views1 answer
Python modules screen
Python
3 votes211 views1 answer
No module named 'django.core.urlresolvers'
Python
0 vote213 views1 answer
How to change speed in ursina
Python