Pandas: Check if a specified column starts with a specified string in a DataFrame
Pandas: String and Regular Expression Exercise-17 with Solution
Write a Pandas program to check if a specified column starts with a specified string in a DataFrame.
Sample Solution:
Python Code :
import pandas as pd
df = pd.DataFrame({
'company_code': ['Abcd','EFGF', 'zefsalf', 'sdfslew', 'zekfsdf'],
'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("\nIf a specified column starts with a specified string?")
df['company_code_starts_with'] = list(
map(lambda x: x.startswith('ze'), 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 zefsalf 25/09/1998 22.5 3 sdfslew 12/02/2022 2566552.0 4 zekfsdf 15/09/1997 23.0 If a specified column starts with a specified string? company_code ... company_code_starts_with 0 Abcd ... False 1 EFGF ... False 2 zefsalf ... True 3 sdfslew ... False 4 zekfsdf ... True [5 rows x 4 columns]
Python Code Editor:
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Previous: Write a Pandas program to get the length of the integer of a given column in a DataFrame.
Next: Write a Pandas program to swap the cases of a specified character column in a given 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
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