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Data Wrangling in Python – How to Map External Values To Dataframe Values in pandas

By on Tuesday, June 1, 2021

Map External Values To Dataframe Values in pandas

import modules


import pandas as pd

Create dataframe

raw_data = {'first_name': ['Jason', 'Molly', 'Tina', 'Jake', 'Amy'], 
        'last_name': ['Miller', 'Jacobson', 'Ali', 'Milner', 'Cooze'], 
        'age': [42, 52, 36, 24, 73], 
        'city': ['San Francisco', 'Baltimore', 'Miami', 'Douglas', 'Boston']}

df = pd.DataFrame(raw_data, columns = ['first_name', 'last_name', 'age', 'city'])
df
first_name last_name age city
0 Jason Miller 42 San Francisco
1 Molly Jacobson 52 Baltimore
2 Tina Ali 36 Miami
3 Jake Milner 24 Douglas
4 Amy Cooze 73 Boston

Create a dictionary of values

city_to_state = { 'San Francisco' : 'California', 
                  'Baltimore' : 'Maryland', 
                  'Miami' : 'Florida', 
                  'Douglas' : 'Arizona', 
                  'Boston' : 'Massachusetts'}

Map the values of the city_to_state dictionary to the values in the city variable


df['state'] = df['city'].map(city_to_state)
df
first_name last_name age city state
0 Jason Miller 42 San Francisco California
1 Molly Jacobson 52 Baltimore Maryland
2 Tina Ali 36 Miami Florida
3 Jake Milner 24 Douglas Arizona
4 Amy Cooze 73 Boston Massachusetts

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