spark_log_analytics_46.py

hourly_avg_errors_sorted_df = (not_found_df
                                   .groupBy(F.hour('time')
                                             .alias('hour'))
                                   .count()
                                   .sort('hour'))
hourly_avg_errors_sorted_pd_df = hourly_avg_errors_sorted_df.toPandas()

c = sns.catplot(x='hour', y='count', 
                data=hourly_avg_errors_sorted_pd_df, 
                kind='bar', height=5, aspect=1.5)