How to create a new row for each comma separated value in a column in pandas

Question

I have a dataframe like this:

text                   category 
sfsd sgvv              abc,xyz
zydf sefs sdfsd        yyy
dfsd dsrgd dggr        xyz
eter vxg          


        

Answer 1

Linking to this question, try the following code for your dataframe:

We can first split the column, expand it, stack it and then join it back to the original df like below:

df.drop('category', axis=1).join(
  df['category'].str.split(',', expand=True).stack().reset_index(level=1,drop=True).rename('category'))