old_contents: #!/usr/bin/python
  
  # Python module to collect data from basketball-reference.com and output the collected data in a CSV formatted file
  
  import urllib2
  import argparse
  from bs4 import BeautifulSoup
  import csv
  import re
  import os
  
  # Variables
  data_directory="nba_data"
  
  # Argument parsing
  parser = argparse.ArgumentParser(description='Jumpball collect')
  parser.add_argument('-s', '--season', action='store', help='Season in year', dest="year_season", required=True)
  parser.add_argument('-t', '--team', action='store', help='NBA Team', dest="nba_team", required=True)
  args = parser.parse_args()
  
  season = args.year_season
  team = args.nba_team
  print season
  print team
  
  
  
  page = urllib2.urlopen("http://www.basketball-reference.com/teams/%s/%s.html" % (team, season ))
  
  if not os.path.exists(data_directory):
      os.makedirs(data_directory)
  
  f1 = csv.writer(open('./%s/season_%s_%s_players_height_weight.csv' % (data_directory, season, team ), 'w') )
  f2 = csv.writer(open('./%s/season_%s_%s_record.csv' % (data_directory, season, team ), 'w') )
  
  # CSV file header
  #f1.writerow(["team", "name" ,"ht", "wt"])
  
  def getStatsFromWeb(page):
  
  
      content = page.read()
  
      soup = BeautifulSoup(content)
  
  
      for elem in soup(text=re.compile(r'Record:')):
          record = elem.next_element.strip().split(',', 1)[0]
          w_record = float(record.split('-', 1)[0])
          l_record = float(record.split('-', 1)[1])
  
      print w_record
      print l_record
      wl_perc = w_record / (w_record + l_record)
      print wl_perc
      
      f2.writerow([team, w_record, l_record, wl_perc])
  
      roster_table = soup.find('table', id="roster")
      rows = roster_table.findAll('tr')
  
      for tr in rows:
          cells = tr.findAll('td')
          #if len(cells) > 0:
          if len(cells) == 0:
              continue
  
          #print cells
          name = cells[1].find(text=True)
          ht = cells[3].find(text=True).replace("-", ".")
          wt = cells[4].find(text=True)
      
          f1.writerow([team, name, ht, wt])
  
  
  getStatsFromWeb(page);
  
  
  
  
new_contents: #!/usr/bin/python
  
  # Python module to collect data from basketball-reference.com and output the collected data in a CSV formatted file
  
  import urllib2
  import argparse
  from bs4 import BeautifulSoup
  import csv
  import re
  import os
  
  # Variables
  data_directory="nba_data"
  
  # Argument parsing
  parser = argparse.ArgumentParser(description='Jumpball collect')
  parser.add_argument('-s', '--season', action='store', help='Season in year', dest="year_season", required=True)
  parser.add_argument('-t', '--team', action='store', help='NBA Team', dest="nba_team", required=True)
  args = parser.parse_args()
  
  season = args.year_season
  team = args.nba_team
  print season
  print team
  
  page = urllib2.urlopen("http://www.basketball-reference.com/teams/%s/%s.html" % (team, season ))
  
  season_data_directory=("%s/%s" % (data_directory, season) )
  
  if not os.path.exists(data_directory):
      os.makedirs(data_directory)
  if not os.path.exists(season_data_directory):
      os.makedirs(season_data_directory)
  
  
  f1 = csv.writer(open('./%s/season_%s_%s_players_height_weight.csv' % (season_data_directory, season, team ), 'w') )
  f2 = csv.writer(open('./%s/season_%s_%s_record.csv' % (season_data_directory, season, team ), 'w') )
  
  # CSV file header
  f1.writerow(["team", "name" ,"ht", "wt"])
  f2.writerow(["team", "win", "loss", "wl_perc"])
  
  def getStatsFromWeb(page):
  
  
      content = page.read()
  
      soup = BeautifulSoup(content)
  
  
      for elem in soup(text=re.compile(r'Record:')):
          record = elem.next_element.strip().split(',', 1)[0]
          w_record = float(record.split('-', 1)[0])
          l_record = float(record.split('-', 1)[1])
  
      print w_record
      print l_record
      wl_perc = w_record / (w_record + l_record)
      print wl_perc
      
      f2.writerow([team, w_record, l_record, wl_perc])
  
      roster_table = soup.find('table', id="roster")
      rows = roster_table.findAll('tr')
  
      for tr in rows:
          cells = tr.findAll('td')
          #if len(cells) > 0:
          if len(cells) == 0:
              continue
  
          #print cells
          name = cells[1].find(text=True)
          ht = cells[3].find(text=True).replace("-", ".")
          wt = cells[4].find(text=True)
      
          f1.writerow([team, name, ht, wt])
  
  
  getStatsFromWeb(page);
  
  
  
  
subject: Create directory buckets for each seasons