eta_on_text_data-23.py

import textstat
df['dale_chall_score']=df['reviews.text'].apply(lambda x: textstat.dale_chall_readability_score(x))
df['flesh_reading_ease']=df['reviews.text'].apply(lambda x: textstat.flesch_reading_ease(x))
df['gunning_fog']=df['reviews.text'].apply(lambda x: textstat.gunning_fog(x))

print('Dale Chall Score of upvoted reviews=>',df[df['reviews.numHelpful']>1]['dale_chall_score'].mean())
print('Dale Chall Score of not upvoted reviews=>',df[df['reviews.numHelpful']<=1]['dale_chall_score'].mean())

print('Flesch Reading Score of upvoted reviews=>',df[df['reviews.numHelpful']>1]['flesh_reading_ease'].mean())
print('Flesch Reading Score of not upvoted reviews=>',df[df['reviews.numHelpful']<=1]['flesh_reading_ease'].mean())

print('Gunning Fog Index of upvoted reviews=>',df[df['reviews.numHelpful']>1]['gunning_fog'].mean())
print('Gunning Fog Index of not upvoted reviews=>',df[df['reviews.numHelpful']<=1]['gunning_fog'].mean())