Python Dataframe Extract Colum Data Based cell value

From the dataframe, unique values are taken in "Region" and would like to extract the "Name" However, when one Name is in Region, it spells out the name (l-i-n-d-a instead of linda)

   import pandas as pd
   data = {
        'Region': ['South','West', 'North','West', 'North',  'South','West', 'North', 'East'],
        'Name': ['Tom', 'nick', 'krish', 'jack','peter','sam','jon','megan','linda']
    }
  
   df = pd.DataFrame(data)
   list_region = df['Region'].unique().tolist()
   for region in list_region:
     list_person = df.set_index('Region').loc[region, 'Name']
     for person in list_person:
       print(region + ' >> ' + person)

partial output as below, linda was spelled out

North >> megan
East >> l
East >> i
East >> n
East >> d
East >> a

You could use the value_counts() function, and then get only the index of the result:

import pandas as pd
data = {
    'Region': [
        'South', 'West', 'North', 'West', 'North',
        'South', 'West', 'North', 'East'
    ],
    'Name': [
        'Tom', 'nick', 'krish', 'jack', 'peter', 
        'sam', 'jon', 'megan', 'linda'
    ]
}
  
df = pd.DataFrame(data)

combinations = df.value_counts().index.to_list()

which yields:

[('East', 'linda'), ('North', 'krish'), ('North', 'megan'),
 ('North', 'peter'), ('South', 'Tom'), ('South', 'sam'),
 ('West', 'jack'), ('West', 'jon'), ('West', 'nick')]

and then for the formatting:

for item in combinations:
    print(item[0] + ' >> ' + item[1])

which outputs:

East >> linda
North >> krish
North >> megan
North >> peter
South >> Tom
South >> sam
West >> jack
West >> jon
West >> nick