PyCaret NLP assign_model(lda) assigns topics on empty rows

Question

I'm using pycaret to create_model(lda) and then using that for assign_model(lda). Not sure if I'm doing something that I'm not supposed to do during pre-processing. Any help is much appreciated

   #create model
   lda = create_model('lda')

   lda_df = assign_model(lda)
   lda_df

The resulting dataframe has the topics assigned on top rows where the rows are empty for other column values and the actual values are pushed below.

Answer 1

Reset_index() solved this. There were some subsetting that was done earlier.