Python Pandas Replace multiple values in one column with dict

Question

I have the below df as an example

Product Code	Product Type	Price
01478	ELC	£119.00
01479	GRN	£159.00
01514	PWR	£100.00
01617	ELC	£119.00
01819	ELC – GRN – PWR	£300.00
01819	ELC – GRN – PWR	£300.00

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 🙂

Asked By: user19795989

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Source

Answer 1

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

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

Answered By: Nuri Taş

Python Pandas Replace multiple values in one column with dict

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