Pandas: Get the length of the string present of a given column in a DataFrame
Pandas: String and Regular Expression Exercise-15 with Solution
Write a Pandas program to get the length of the string present of a given column in a DataFrame.
Sample Solution:
Python Code :
import pandas as pd
df = pd.DataFrame({
'company_code': ['Abcd','EFGF', 'skfsalf', 'sdfslew', 'safsdf'],
'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("\nLength of the string in a column:")
df['company_code_length'] = df['company_code'].apply(len)
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 skfsalf 25/09/1998 22.5 3 sdfslew 12/02/2022 2566552.0 4 safsdf 15/09/1997 23.0 Length of the string in a column: company_code ... company_code_length 0 Abcd ... 4 1 EFGF ... 4 2 skfsalf ... 7 3 sdfslew ... 7 4 safsdf ... 6 [5 rows x 4 columns]
Python Code Editor:
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Previous:Write a Pandas program to check whether only space is present in a given column of a DataFrame.
Next: Write a Pandas program to get the length of the integer of a given column in 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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