替换并重新排列包含相似单词模式的字符串值

Question

I am working in google collaboratory and I have a panda dataframe like below

Company name            Address
Meditera, PT            Street 1
Ocean express, PT       Street 2

I want to change to be like below:

Company name            Address
PT Meditera            Street 1
PT Ocean express       Street 2

The way I do now is using df['Company name'].str.replace('Meditera, PT','PT Meditera') . The data is growing each day and it will be so exhaustive to replace one by one. The pattern of the data is the same, I only need to rearrange ', PT' from behind to the front of company name.

Is there any suggestion how we can do this in smarter way so that I do not need to manually use str.replace() every day.

Thanks before

Answer 1

df['Company name'] = df['Company name'].str.split(', ').str[::-1].str.join(' ')

Output:

>>> df
       Company name   Address
0       PT Meditera  Street 1
1  PT Ocean express  Street 2