NBAClass.py 1.5 KB

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  1. #coding=utf-8
  2. '''
  3. Created on 2017年9月12日
  4. @vsersion:python 3.6
  5. @author: liuyuqi
  6. '''
  7. import matplotlib.pyplot as plt
  8. import numpy as np
  9. import pandas as pd
  10. class NBA:
  11. team_season = ""
  12. advanced_basic = ""
  13. advanced_shooting =""
  14. avg = ""
  15. coach_playoff = ""
  16. coach_season = ""
  17. player_playoff = ""
  18. player_salary = ""
  19. player_season =""
  20. single =""
  21. team_playoff = ""
  22. team_season = ""
  23. tot = ""
  24. def init(self):
  25. importData(self)
  26. # 导入数据,预览数据
  27. def importData(self):
  28. team_season = pd.read_csv('../input/NBAdata/team_season.csv')
  29. advanced_basic = pd.read_csv('../input/NBAdata/advanced_basic.csv')
  30. advanced_shooting = pd.read_csv('../input/NBAdata/advanced_shooting.csv')
  31. avg = pd.read_csv('../input/NBAdata/avg.csv')
  32. coach_playoff = pd.read_csv('../input/NBAdata/coach_playoff.csv')
  33. coach_season = pd.read_csv('../input/NBAdata/coach_season.csv')
  34. player_playoff = pd.read_csv('../input/NBAdata/player_playoff.csv')
  35. player_salary = pd.read_csv('../input/NBAdata/player_salary.csv')
  36. player_season = pd.read_csv('../input/NBAdata/player_season.csv')
  37. single = pd.read_csv('../input/NBAdata/single.csv')
  38. team_playoff = pd.read_csv('../input/NBAdata/team_playoff.csv')
  39. team_season = pd.read_csv('../input/NBAdata/team_season.csv')
  40. tot = pd.read_csv('../input/NBAdata/tot.csv')
  41. team_season.head()
  42. team_playoff.columns