Pandas: Check whether alpha numeric values present in a given column of a DataFrame
Pandas: String and Regular Expression Exercise-9 with Solution
Write a Pandas program to check whether alpha numeric values present in a given column of a DataFrame.
Note: isalnum() function returns True if all characters in the string are alphanumeric and there is at least one character, False otherwise.
Sample Solution:
Python Code :
import pandas as pd
df = pd.DataFrame({
'name_code': ['Company','Company a001','Company 123', '1234', 'Company 12'],
'date_of_birth ': ['12/05/2002','16/02/1999','25/09/1998','12/02/2022','15/09/1997'],
'age': [18.5, 21.2, 22.5, 22, 23]
})
print("Original DataFrame:")
print(df)
print("\nWhether all characters in the string are alphanumeric?")
df['name_code_is_alphanumeric'] = list(map(lambda x: x.isalnum(), df['name_code']))
print(df)
Sample Output:
Original DataFrame: name_code date_of_birth age 0 Company 12/05/2002 18.5 1 Company a001 16/02/1999 21.2 2 Company 123 25/09/1998 22.5 3 1234 12/02/2022 22.0 4 Company 12 15/09/1997 23.0 Whether all characters in the string are alphanumeric? name_code ... name_code_is_alphanumeric 0 Company ... True 1 Company a001 ... False 2 Company 123 ... False 3 1234 ... True 4 Company 12 ... False [5 rows x 4 columns]
Python Code Editor:
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Previous: Write a Pandas program to find the index of a substring of DataFrame with beginning and end position.
Next: Write a Pandas program to check whether alphabetic values present in a given column of a DataFrame.
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There is a great way to cache functions with decorators in Python. Caching will help save time and precious resources when there is an expensive function at hand.
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Output:
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