[FIXED] pandas how to split one row to multiple row for variable product?

Issue

I have multiple variable product in my csv. Assume I have an product which title "Car model145" and this "Car model145" have three different price and size. Now I want to expand price and color row with title. here is my data frame:

     title             price                       color                  image

  0  Car model145      2,54.00,852.00,2532.00      black,white,blue        car iamge url 
                       #three different price

I also have problem in price column. how to remove first comma after 2? so I can split price row properly. I also don't want to expand image row. The result will be look like this:

  title             price                       color                  image
0  Car model145      254.00                     black               car iamge url 
1  Car model145      852.00                     white  
2  Car model145      2532.00                    blue        
               

Solution

Something confusing is the extra price (2,). Do you have this for all prices? You first need to get rid of it.

Then you can simply apply str.split and explode:

(df.assign(price=df['price'].str.replace(',', '', 1)) # remove first comma
   .apply(lambda s: s.str.split(',').explode())
   .assign(image=lambda d: d['image'].mask(d['image'].duplicated(), ''))
   .reset_index(drop=True)
 #  .to_csv('filename.csv')  # uncomment to save output as csv
)

output:

          title    price  color          image
0  Car model145   254.00  black  car iamge url
1  Car model145   852.00  white               
2  Car model145  2532.00   blue               

Answered By - mozway