#PYTHON COMMENT PRO#

#PYTHON COMMENT PRO#

Title!('Durchschnittliche Anzahl der Punkte pro Thread und Kommentar') Png(bar3,output_folder*'5_durchschnittliche_anzahl_zeichen_julia.png')īar4 = bar(thread_mean_score_count.thread_score, comment_mean_score_ment_score)

Title!('Durchschnittliche Anzahl der Zeichen pro Thread und Kommentar') Ylabel!('Durchschnittliche Zeichenlänge') :comment_id => length ∘ unique => :comment_mean_score))īar3 = bar(thread_mean_character_count.threadtitlecharactercount,Ĭomment_mean_character_mentcharactercount) :comment_id => length ∘ unique => :comment_mean_count))Ĭomment_mean_score_count = mean(combine(groupby(df, :comment_score), :thread_id => length ∘ unique => :thread_mean_score))Ĭomment_mean_character_count = mean(combine(groupby(df, :commentcharactercount), Thread_mean_score_count = mean(combine(groupby(df, :thread_score), :thread_id => length ∘ unique => :thread_mean_count)) Thread_mean_character_count = mean(combine(groupby(df, :threadtitlecharactercount), This is what i have so far in Julia: function average_data_threads_and_comments()ĭf.threadtitlecharactercount = length(df.thread_title)ĭf.commentcharactercount = length(df.comment_body.length) Plt.savefig(output_folder+'6_average_score_python.png', bbox_inches='tight') This is the function in Python: def average_data_threads_and_comments():ĭf = df.str.len()ĭf_thread_mean_character_count = df.groupby('thread_id').mean().mean()ĭf_thread_mean_score = df.groupby('thread_id').mean().mean()ĭf_comment_mean_character_count = df.groupby('comment_id').mean().mean()ĭf_comment_mean_score = df.groupby('comment_id').mean().mean()ĭf_average_characters = pd.DataFrame() csv file (it is a huge reddit forum) and plot them into another chart. I specifically want to take the average character length from a thread and a comment inside the. gzip which I want to extract some data from.

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