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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Previous:Write a Pandas program to convert a specified character column in title case in a given DataFrame.
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
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