creating multiple columns with a loop based on other column in pandas-CodePudding

Hello everyone I have a working code in python but it is written in a crude way because I am still learning the fundamentals and require some insight.

I am creating 40 columns based on one column like i shared a small part of it below:

df["Bonus Payout 80%"]=0
df["Bonus Payout 81%"]=df["Monthly gross salary 100% (LC)"]*0.01
df["Bonus Payout 82%"]=df["Monthly gross salary 100% (LC)"]*0.02
df["Bonus Payout 83%"]=df["Monthly gross salary 100% (LC)"]*0.03
df["Bonus Payout 84%"]=df["Monthly gross salary 100% (LC)"]*0.04
df["Bonus Payout 85%"]=df["Monthly gross salary 100% (LC)"]*0.05
df["Bonus Payout 80%"]=df['Bonus Payout 80%'].apply('{:,.2f}'.format)
df["Bonus Payout 81%"]=df['Bonus Payout 81%'].apply('{:,.2f}'.format)
df["Bonus Payout 82%"]=df["Bonus Payout 82%"].apply('{:,.2f}'.format)
df["Bonus Payout 83%"]=df["Bonus Payout 83%"].apply('{:,.2f}'.format)
df["Bonus Payout 84%"]=df["Bonus Payout 84%"].apply('{:,.2f}'.format)
df["Bonus Payout 85%"]=df["Bonus Payout 85%"].apply('{:,.2f}'.format)

the lines of code goes on until bonus payout 120% how can i tidy this up and convert it to a more coder way?

any help is appreciated

edit : my first lines of code is :

df["Bonus Payout 80%"]=df["Monthly gross salary 100% (LC)"]*0.00
df["Bonus Payout 80%"]=df['Bonus Payout 80%'].apply('{:,.2f}'.format)

and the last one

df["Bonus Payout 120%"]=df["Monthly gross salary 100% (LC)"]*0.40
df["Bonus Payout 120%"]=df['Bonus Payout 120%'].apply('{:,.2f}'.format)

CodePudding user response：

You can use f-strings and for loops:

j = 0
for i in range(80,121):
    df[f"Bonus Payout {i}%"]=df["Monthly gross salary 100% (LC)"]*j
    df[f"Bonus Payout {i}%"]=df[f'Bonus Payout {i}%'].apply('{:,.2f}'.format)
    j  = 0.01

P.S.: I have edited my answer after question edit.

CodePudding user response：

You don't need loops here, example:

df = pd.DataFrame(range(10), columns=['my_col'])
coefs = np.array([0.1, 0.3, 0.5])
df.loc[:, ['my_col'] * len(coefs)].mul(coefs)\
  .set_axis([f'Bonus Payout {int(coef*100)} %' for coef in coefs],
            axis=1)
  
   Bonus Payout 10%  Bonus Payout 30%  Bonus Payout 50%
0               0.0               0.0               0.0
1               0.1               0.3               0.5
2               0.2               0.6               1.0
3               0.3               0.9               1.5
4               0.4               1.2               2.0
5               0.5               1.5               2.5
6               0.6               1.8               3.0
7               0.7               2.1               3.5
8               0.8               2.4               4.0
9               0.9               2.7               4.5

CodePudding user response：

You can use a for loop for that, in combination with np.arange

for i in np.arange(0,0.4,0.01):
    df["Bonus Payout" str(int(80 i*100)) "%"]=df["Monthly gross salary 100% (LC)"]*i
    df["Bonus Payout" str(int(80 i*100)) "%"]=df["Bonus Payout" str(int(80 i*100)) "%"].apply('{:,.2f}'.format)