--- /dev/null
+from pyspark.sql import functions as f
+from pyspark.sql import SparkSession
+from pyspark.sql import Window
+from pyspark.mllib.linalg.distributed import RowMatrix, CoordinateMatrix
+import numpy as np
+import pyarrow
+import pandas as pd
+import fire
+from itertools import islice
+from pathlib import Path
+from similarities_helper import cosine_similarities
+
+spark = SparkSession.builder.getOrCreate()
+conf = spark.sparkContext.getConf()
+
+df = spark.read.parquet("/gscratch/comdata/output/reddit_comments_by_subreddit.parquet")
+
+# remove /u/ pages
+df = df.filter(~df.subreddit.like("u_%"))
+
+df = df.groupBy('subreddit').agg(f.count('id').alias("n_comments"))
+
+win = Window.orderBy(f.col('n_comments').desc())
+df = df.withColumn('comments_rank',f.rank().over(win))
+
+df = df.toPandas()
+
+df = df.sort_values("n_comments")
+
+df.to_csv('/gscratch/comdata/users/nathante/cdsc-reddit/subreddits_by_num_comments.csv',index=False)