I have a problem where:
Within a social network:
- Any user may post original content
- Any user may repost original content or another user's repost
- Any user may follow any other user
The social network data is represented in a CSV file with the following format:
postId, repostId, followers
1, -1, 120
2, 1, 60
3, 1, 30
4, 2, 90
5, 3, 40
6, 4, 10
7, -1, 240
8, 7, 190
9, 7, 50
Where:
- postId - The ID of the post or repost
- repostId - The ID of the content that was reposted or -1 if this is an original post
- followers - The number of followers the user that made the post has
My motivation is to read from a cell while the CSV file is open, then if the cell is less than zero, then I know it is a unique post. However this leaves part of the summation incomplete, so I was looking at if a specified value within the row matches the condition.
My solution:
# import csv module
import csv
# ensure path to csv file is apporpriate in temp
with open("filepath", 'rb') as f:
reader = csv.DictReader(f)
rows = [row for row in reader if row['repostId'] <= '0'] # go through each row of repostId, looking for a negative value
# for each iteration of rows, print the number of corresponding followers
for followers in rows:
print followers
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