Pandas: Check whether only proper case or title case is present in a given column of a DataFrame
Pandas: String and Regular Expression Exercise-13 with Solution
Write a Pandas program to check whether only proper case or title case is present in a given column of a DataFrame.
Sample Solution:
Python Code :
import pandas as pd
df = pd.DataFrame({
'company_code': ['Abcd','EFGF', 'Hhhh', 'abcd', 'EAWQaaa'],
'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("\nIs proper case or title case?")
df['company_code_is_title'] = list(map(lambda x: x.istitle(), df['company_code']))
print(df)
Sample Output:
Original DataFrame: company_code date_of_sale sale_amount 0 Abcd 12/05/2002 12348.5 1 EFGF 16/02/1999 233331.2 2 Hhhh 25/09/1998 22.5 3 abcd 12/02/2022 2566552.0 4 EAWQaaa 15/09/1997 23.0 Is proper case or title case? company_code ... company_code_is_title 0 Abcd ... True 1 EFGF ... False 2 Hhhh ... True 3 abcd ... False 4 EAWQaaa ... False [5 rows x 4 columns]
Python Code Editor:
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Previous: Write a Pandas program to check whether only lower case or upper case is present in a given column of a DataFrame.
Next: Write a Pandas program to check whether only space is present in a given column of a DataFrame.
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Python: Tips of the Day
Python: Cache results with decorators
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.
Implementation is easy, just import lru_cache from functools library and decorate your function using @lru_cache.
from functools import lru_cache @lru_cache(maxsize=None) def fibo(a): if a <= 1: return a else: return fibo(a-1) + fibo(a-2) for i in range(20): print(fibo(i), end="|") print("\n\n", fibo.cache_info())
Output:
0|1|1|2|3|5|8|13|21|34|55|89|144|233|377|610|987|1597|2584|4181| CacheInfo(hits=36, misses=20, maxsize=None, currsize=20)
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