authemojivis.py

# Creates a list of unique Authors - ['Manikanta', 'Teja Kura', .........]
l = messages_df.Author.unique()
for i in range(len(l)):
  dummy_df = messages_df[messages_df['Author'] == l[i]]
  total_emojis_list = list([a for b in dummy_df.emoji for a in b])
  emoji_dict = dict(Counter(total_emojis_list))
  emoji_dict = sorted(emoji_dict.items(), key=lambda x: x[1], reverse=True)
  print('Emoji Distribution for', l[i])
  author_emoji_df = pd.DataFrame(emoji_dict, columns=['emoji', 'count'])
  fig = px.pie(author_emoji_df, values='count', names='emoji')
  fig.update_traces(textposition='inside', textinfo='percent+label')
  fig.show()