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

Pandas: String and Regular Expression Exercise-11 with Solution

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

Sample Solution:

Python Code :

import pandas as pd
df = pd.DataFrame({
    'company_code': ['Company','Company a001', '2055', 'abcd', '123345'],
    '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("\nNumeric values present in company_code column:")
df['company_code_is_digit'] = list(map(lambda x: x.isdigit(), 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          2055    25/09/1998         22.5
3          abcd    12/02/2022    2566552.0
4        123345    15/09/1997         23.0

Numeric values present in company_code column:
   company_code          ...          company_code_is_digit
0       Company          ...                          False
1  Company a001          ...                          False
2          2055          ...                           True
3          abcd          ...                          False
4        123345          ...                           True

[5 rows x 4 columns]

Python Code Editor:


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Next: Write a Pandas program to check whether only lower case or upper case is present in a given column of a DataFrame.

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Python: Tips of the Day

Returns True if there are duplicate values in a flat list, False otherwise

Example:

def tips_duplicates(lst):
  return len(lst) != len(set(lst))

x = [2, 4, 6, 8, 4, 2]
y = [1, 3, 5, 7, 9]
print(tips_duplicates(x))
print(tips_duplicates(y))

Output:

True
False