30 lines
991 B
Python
30 lines
991 B
Python
from pyspark.sql import functions as f
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from pyspark.sql import SparkSession
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from pyspark.sql import Window
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spark = SparkSession.builder.getOrCreate()
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conf = spark.sparkContext.getConf()
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submissions = spark.read.parquet("/gscratch/comdata/output/reddit_submissions_by_subreddit.parquet")
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prop_nsfw = submissions.select(['subreddit','over_18']).groupby('subreddit').agg(f.mean(f.col('over_18').astype('double')).alias('prop_nsfw'))
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df = spark.read.parquet("/gscratch/comdata/output/reddit_comments_by_subreddit.parquet")
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# remove /u/ pages
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df = df.filter(~df.subreddit.like("u_%"))
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df = df.groupBy('subreddit').agg(f.count('id').alias("n_comments"))
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df = df.join(prop_nsfw,on='subreddit')
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df = df.filter(df.prop_nsfw < 0.5)
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win = Window.orderBy(f.col('n_comments').desc())
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df = df.withColumn('comments_rank', f.rank().over(win))
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df = df.toPandas()
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df = df.sort_values("n_comments")
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df.to_csv('/gscratch/comdata/output/reddit_similarity/subreddits_by_num_comments.csv', index=False)
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