import csv
from datetime import date

from scraper.draft_scraper import scrape

CSV_FILE = 'datasets/%s_nbadraft.csv'

for year in range(1947, date.today().year):
    draft = scrape(year)
    header = [key for key in draft[1].keys()]
    with open(CSV_FILE % year, 'w', newline='') as outfile:
        dw = csv.DictWriter(outfile, header)
        dw.writeheader()
        dw.writerows([row for index, row in draft.items()])

import csv
from datetime import date

from scraper.draft_scraper import scrape

CSV_FILE = 'datasets/%s_nbadraft.csv'

for year in range(1947, date.today().year):
    draft = scrape(year)
    header = [key for key in draft[1].keys()]
    with open(CSV_FILE % year, 'w', newline='') as outfile:
        dw = csv.DictWriter(outfile, header)
        dw.writeheader()
        dw.writerows([row for index, row in draft.items()])
    print('Data processed for %s.' % year)

Print line after creating each csv
Print line after creating each csv

  import csv
  from datetime import date
  
  from scraper.draft_scraper import scrape
  
  CSV_FILE = 'datasets/%s_nbadraft.csv'
  
  for year in range(1947, date.today().year):
      draft = scrape(year)
      header = [key for key in draft[1].keys()]
      with open(CSV_FILE % year, 'w', newline='') as outfile:
          dw = csv.DictWriter(outfile, header)
          dw.writeheader()
          dw.writerows([row for index, row in draft.items()])
+     print('Data processed for %s.' % year)
  
Print line after creating each csv
## Code Before:
import csv
from datetime import date

from scraper.draft_scraper import scrape

CSV_FILE = 'datasets/%s_nbadraft.csv'

for year in range(1947, date.today().year):
    draft = scrape(year)
    header = [key for key in draft[1].keys()]
    with open(CSV_FILE % year, 'w', newline='') as outfile:
        dw = csv.DictWriter(outfile, header)
        dw.writeheader()
        dw.writerows([row for index, row in draft.items()])

## Instruction:
Print line after creating each csv
## Code After:
import csv
from datetime import date

from scraper.draft_scraper import scrape

CSV_FILE = 'datasets/%s_nbadraft.csv'

for year in range(1947, date.today().year):
    draft = scrape(year)
    header = [key for key in draft[1].keys()]
    with open(CSV_FILE % year, 'w', newline='') as outfile:
        dw = csv.DictWriter(outfile, header)
        dw.writeheader()
        dw.writerows([row for index, row in draft.items()])
    print('Data processed for %s.' % year)
