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

0 vote361 views2 answers
For schleife python
Python
12 votes352 views4 answers
How to get distinct value in a column dataframe in python
Python
0 vote348 views1 answer
Convert math equation from string to int
Python
1 vote350 views1 answer
Flatten json python
Python
0 vote298 views1 answer
Django cache
Python Django
0 vote380 views2 answers
MultiValueDictKeyError django
Python
0 vote385 views1 answer
Python pyinstler not found
Python
2 votes376 views2 answers
Check if string has capital letter python
Python
0 vote359 views1 answer
> 'depth' is 6 (CV_64F)
Python
3 votes409 views1 answer
Default argument in flask route
Python Flask