PYTHON

pandas iterate columns

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

loop through a column in pandas

for x in whatever_df["Whatever Column Name"]:
  print(x)

how to iterate over columns of pandas dataframe

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

loop over column names pandas

for column_name in df.columns.values:
	print(column_name)

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()