I have the below df as an example

I am trying to change multiple values in the 'Product Type' column using a dict

This is my code:

df['Product Type'] = df['Product Type'].str.replace('ELC', 'Electric')
df['Product Type'] = df['Product Type'].str.replace('GRN', 'Green')
df['Product Type'] = df['Product Type'].str.replace('PWR', 'Power Supply')

When I use this it changes the values and works, even for ELC - GRN - PWR

However when I try to use a dict method just to improve code readability and make it more simple instead of loads of str.replace lines.

dict = {
    'ELC' : 'Electric', 
    'GRN' : 'Green', 
    'PWR': 'Power Supply', 
    '-' : ' '}

It only changes the single ELC to Electric, and GRN to Green but does not change the ELC - GRN - PWR to Electric - Green - Power Supply.

Can I ask why this happens and what the solution is?

I've looked at many different approaches in stack but nothing seems to work effectively.

Thank You :)

CodePudding user response：

you can use regex inside df.Series.replace (without str):

df['Product Type'] = df['Product Type'].replace(dict, regex=True)