Pandas: Check whether alphabetic values present in a given column of a DataFrame

Pandas: String and Regular Expression Exercise-10 with Solution

Write a Pandas program to check whether alphabetic values present in a given column of a DataFrame.

Note: isalpha() returns True if all characters in the string are alphabetic and there is at least one character, False otherwise.

Sample Solution:

Python Code :

import pandas as pd
df = pd.DataFrame({
    'company_code': ['Company','Company a001','Company 123', 'abcd', 'Company 12'],
    'date_of_sale ': ['12/05/2002','16/02/1999','25/09/1998','12/02/2022','15/09/1997'],
    'sale_amount': [12348.5, 233331.2, 22.5, 2566552.0, 23.0]})

print("Original DataFrame:")
print(df)
print("\nWhether Alphabetic values present in company_code column?")
df['company_code_is_alpha'] = list(map(lambda x: x.isalpha(), df['company_code']))
print(df)

Sample Output:

Original DataFrame:
   company_code date_of_sale   sale_amount
0       Company    12/05/2002      12348.5
1  Company a001    16/02/1999     233331.2
2   Company 123    25/09/1998         22.5
3          abcd    12/02/2022    2566552.0
4    Company 12    15/09/1997         23.0

Whether Alphabetic values present in company_code column?
   company_code          ...          company_code_is_alpha
0       Company          ...                           True
1  Company a001          ...                          False
2   Company 123          ...                          False
3          abcd          ...                           True
4    Company 12          ...                          False

[5 rows x 4 columns]

Python Code Editor:

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