PYTHON

python iterate columns

for (columnName, columnData) in df.iteritems():
    print('Column Name : ', columnName)
    print('Column Contents : ', columnData.values)
    
# OUTPUT
#Column Name :  ID
#Column Contents :  [1 2 3]
#Column Name :  NAME
#Column Contents :  ['John' 'James' 'Ana']

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'])

pandas iterate columns

for name, values in df.iteritems():
    print('{name}: {value}'.format(name=name, value=values[0]))

how to iterate over columns of pandas dataframe

for column in df:
    print(df[column])

iterate rows and columns dataframe

# importing pandas as pd
import pandas as pd
  
# dictionary of lists
dict = {'name':["aparna", "pankaj", "sudhir", "Geeku"],
        'degree': ["MBA", "BCA", "M.Tech", "MBA"],
        'score':[90, 40, 80, 98]}
 
# creating a dataframe from a dictionary
df = pd.DataFrame(dict)
 
# iterating over rows using iterrows() function
for i, j in df.iterrows():
    print(i, j)
    print()