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Pandas: Replace arbitrary values with other values in a given DataFrame

Pandas: String and Regular Expression Exercise-21 with Solution

Write a Pandas program to replace arbitrary values with other values in a given DataFrame.

Sample Solution:

Python Code :

import pandas as pd
df = pd.DataFrame({
    'company_code': ['A','B', 'C', 'D', 'A'],
    '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("\nReplace A with c:")
df = df.replace("A", "C")
print(df)

Sample Output:

Original DataFrame:
  company_code date_of_sale  sale_amount
0            A   12/05/2002      12348.5
1            B   16/02/1999     233331.2
2            C   25/09/1998         22.5
3            D   12/02/2022    2566552.0
4            A   15/09/1997         23.0

Replace A with c:
  company_code date_of_sale  sale_amount
0            C   12/05/2002      12348.5
1            B   16/02/1999     233331.2
2            C   25/09/1998         22.5
3            D   12/02/2022    2566552.0
4            C   15/09/1997         23.0

Python Code Editor:


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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