PR #130, 131: Radhika

130_article_views_i.py

@@ -0,0 +1,10 @@
+# Filter the DF to only include rows where the author_id == viewer_id. 
+# Remove duplicate author_id entries and sort the results before returning the final DF.
+
+import pandas as pd
+
+def article_views(views: pd.DataFrame) -> pd.DataFrame:
+    df = views.drop(views[views['author_id'] != views['viewer_id']].index)
+    df.drop_duplicates(subset=['author_id'], inplace = True)
+    df.sort_values(by=['author_id'], inplace = True)  
+    return df[['author_id']].rename(columns = {'author_id': 'id'})

131_invalid_tweets.py

@@ -0,0 +1,8 @@
+# Give tweets where the len(content) > 15.  
+# Finally, return a DataFrame containing only the 'tweet_id'.
+import pandas as pd
+
+def invalid_tweets(tweets: pd.DataFrame) -> pd.DataFrame:
+   isValid = tweets['content'].str.len() > 15
+   df = tweets[isValid]
+   return df[['tweet_id']]