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Replace values in DataFrame column with a dictionary in Pandas

Replace values in column with a dictionary:

import pandas as pd

df = pd.DataFrame({'State': ['NY', 'TX', 'FL', 'AL', 'AK', 'TX', 'TX']
                   },
                  index=['Jane', 'Nick', 'Aaron', 'Penelope', 'Dean',
                         'Christina', 'Cornelia'])

print(df)

dict = {"NY": 1, "TX": 2, "FL": 3, "AL": 4, "AK": 5}
df1 = df.replace({"State": dict})

print("\n\n")
print(df1)

 
C:\pandas>python example49.py
          State
Jane         NY
Nick         TX
Aaron        FL
Penelope     AL
Dean         AK
Christina    TX
Cornelia     TX
 
 
 
           State
Jane           1
Nick           2
Aaron          3
Penelope       4
Dean           5
Christina      2
Cornelia       2
 
C:\pandas>

Creating a Series using List and Dictionary

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select rows from a DataFrame using operator

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Example of iterrows and itertuples

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Replace values in column with a dictionary

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