X-Git-Url: https://code.communitydata.science/cdsc_reddit.git/blobdiff_plain/a60747292e91a47d122158659182f82bfd2e922a..e6294b5b90135a5163441c8dc62252dd6a188412:/top_subreddits_by_comments.py

diff --git a/top_subreddits_by_comments.py b/top_subreddits_by_comments.py
deleted file mode 100644
index 9e172c5..0000000
--- a/top_subreddits_by_comments.py
+++ /dev/null
@@ -1,30 +0,0 @@
-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)