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 vote131 views1 answer
Mechanize python #9
Python
1 vote125 views1 answer
How to download a file in python using idm
Python
0 vote102 views1 answer
How to get the access of python on cmd
Python
0 vote119 views1 answer
File.open("file.txt);
Python
0 vote110 views1 answer
How to know if i'm in a virtual environment
Python
0 vote104 views1 answer
How to change kivy button size
Python
2 votes117 views1 answer
None address in python
Python
0 vote112 views1 answer
Rc.local raspberry pi
Python
0 vote119 views1 answer
Python write to file permission denied
Python
2 votes105 views1 answer
Lcm math python library
Python