I want to add a column in my Data Frame according to some condition

user8967185 :

I want to add another column RevisedPrice based on mentioned condition

if Price=1500 then RevisedPrice=Price+(Price*0.15) else if Price=800 then RevisedPrice=Price+(Price*0.10) else RevisedPrice=Price+(Price*0.5)

Below is my code------------

df['RevisedPrice']=[x+(0.15*x) if x==1500 else x+(0.10*x) if x==800 else x+(0.05*x) for x in df['Price']]

i am getting my column value as RevisedPrice=Price+(Price*0.5)

Shubham Sharma :

You can use the apply function of pandas dataframe to achieve the desired result. Here is the code you might want to try:

def transform(row):
    if row["Price"] == 1500:
        scale = 0.15
    elif row["Price"] == 800:
        scale = 0.10
    else:
        scale = 0.5

    return row["Price"] + row["Price"] * scale

df["RevisedPrice"] = df.apply(transform, axis=1)

And when you execute >>>print(df.head())

OUTPUT:

         Date   Event  Price  RevisedPrice
0   11/8/2011   Music   1500        1725.0
1   11/9/2011  Poetry    800         880.0
2  11/10/2011   Music   1500        1725.0
3  11/11/2011  Comedy   1200        1800.0
4  11/12/2011  Poetry    800         880.0