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

Below will give the output you need. Assuming df is your dataset name.

new_df_skel = dict()
new_df_skel['text'] = list()
new_df_skel['category'] = list()

for index,item in df.iterrows():
  item = dict(item)
  unref_cat = item['category']
  if "," in unref_cat:
    for strip in unref_cat.split(','):
      new_df_skel['category'].append(strip)
      new_df_skel['text'].append(item['text'])
  else:
    new_df_skel['category'].append(strip)
    new_df_skel['text'].append(unref_cat)

new_dataset = pd.DataFrame(new_df_skel)

Have a great day!