| ''' | |
| This is an example of how the data was collected for a large subreddit (post level). | |
| ''' | |
| import pandas as pd | |
| import json | |
| master_df = pd.DataFrame() | |
| path = '/content/drive/MyDrive/project 1 data (sta 663)/The_Donald/' | |
| chunks = [] | |
| for i in range(1,9): | |
| chunks.append(path + 'The_Donald_submissions.00' + str(i)) | |
| # chunks = ["/content/drive/MyDrive/project 1 data (sta 663)/The_Donald"] | |
| # read line by line | |
| for chunk in chunks: | |
| data = [] | |
| with open(chunk, 'r') as file: | |
| for line in file: | |
| try: | |
| # Parse the JSON line and append to the list | |
| data.append(json.loads(line)) | |
| except json.JSONDecodeError as e: | |
| # Output the error and skip this line | |
| print(f"Error decoding JSON: {e}") # usually due to post deletion or incorrect type | |
| df = pd.DataFrame(data) | |
| # 'created_utc' to a datetime column | |
| df['created_utc'] = pd.to_datetime(df['created_utc'], unit='s') | |
| # extract the year from the 'created_utc' column | |
| df['year'] = df['created_utc'].dt.year | |
| # filtering the years for 2014 to the current year | |
| df_filtered = df[(df['year'] >= 2014)] | |
| master_df = pd.concat([master_df, df_filtered]) | |
| # can sort and get the top 100 posts per year by score | |
| master_df_sorted = master_df.sort_values(by=['year', 'score'], ascending=[True, False]) | |
| top_posts_per_year = master_df_sorted.groupby('year').head(100) |