Pandas: Get the numeric representation of an array by identifying distinct values of a given column of a DataFrame

Last update on May 01 2025 12:54:18 (UTC/GMT +8 hours)

77. Get Numeric Representation from Distinct Values

Write a Pandas program to get the numeric representation of an array by identifying distinct values of a given column of a DataFrame.

Sample Solution :

Python Code :

import pandas as pd
df = pd.DataFrame({
    'Name': ['Alberto Franco','Gino Mcneill','Ryan Parkes', 'Eesha Hinton', 'Gino Mcneill'],
    'Date_Of_Birth ': ['17/05/2002','16/02/1999','25/09/1998','11/05/2002','15/09/1997'],
    'Age': [18.5, 21.2, 22.5, 22, 23]
})
print("Original DataFrame:")
print(df)
label1, unique1 = pd.factorize(df['Name'])
print("\nNumeric representation of an array by identifying distinct values:")
print(label1)
print(unique1)

Sample Output:

Original DataFrame:
             Name Date_Of_Birth    Age
0  Alberto Franco     17/05/2002  18.5
1    Gino Mcneill     16/02/1999  21.2
2     Ryan Parkes     25/09/1998  22.5
3    Eesha Hinton     11/05/2002  22.0
4    Gino Mcneill     15/09/1997  23.0

Numeric representation of an array by identifying distinct values:
[0 1 2 3 1]
Index(['Alberto Franco', 'Gino Mcneill', 'Ryan Parkes', 'Eesha Hinton'], dtype='object')

For more Practice: Solve these Related Problems:

Write a Pandas program to encode the distinct values of a categorical column into unique integers and then output the mapping.
Write a Pandas program to convert a column of non-numeric values into numeric codes using factorize() and then display the results.
Write a Pandas program to map unique strings in a column to numbers and then create a new column with these numeric representations.
Write a Pandas program to identify distinct values in a column and then use LabelEncoder to transform them into numeric form.

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Python-Pandas Code Editor:

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