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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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Next: Write a Pandas program to replace more than one value with other values in a given DataFrame.

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Python: Tips of the Day

Python: Time library

Time library provides lots of time related functions and methods and is good to know whether you're developing a website or apps and games or working with data science or trading financial markets. Time is essential in most development pursuits and Python's standard time library comes very handy for that.

Let's check out a few simple examples:

moment=time.strftime("%Y-%b-%d__%H_%M_%S",time.localtime())

import time
time_now=time.strftime("%H:%M:%S",time.localtime())
print(time_now)
date_now=time.strftime("%Y-%b-%d",time.localtime())
print(date_now)

Output:

11:36:34
2020-Nov-30