improtData.py 1.3 KB

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  1. # coding=utf-8
  2. '''
  3. 导入数据,13个csv文件,并查看相关数据格式。
  4. Created on 2017年9月12日
  5. @vsersion:python 3.6
  6. @author: liuyuqi
  7. '''
  8. # 导入需要的第三方库
  9. import matplotlib.pyplot as plt
  10. import numpy as np
  11. import pandas as pd
  12. from nt import chdir
  13. projectPath = "D:/app/NBA"
  14. def preImport():
  15. print("start!")
  16. chdir(projectPath)
  17. print("finish!")
  18. # 导入数据,预览数据
  19. def importData():
  20. team_season = pd.read_csv('../input/NBAdata/team_season.csv')
  21. advanced_basic = pd.read_csv('../input/NBAdata/advanced_basic.csv')
  22. advanced_shooting = pd.read_csv('../input/NBAdata/advanced_shooting.csv')
  23. avg = pd.read_csv('../input/NBAdata/avg.csv')
  24. coach_playoff = pd.read_csv('../input/NBAdata/coach_playoff.csv')
  25. coach_season = pd.read_csv('../input/NBAdata/coach_season.csv')
  26. player_playoff = pd.read_csv('../input/NBAdata/player_playoff.csv')
  27. player_salary = pd.read_csv('../input/NBAdata/player_salary.csv')
  28. player_season = pd.read_csv('../input/NBAdata/player_season.csv')
  29. single = pd.read_csv('../input/NBAdata/single.csv')
  30. team_playoff = pd.read_csv('../input/NBAdata/team_playoff.csv')
  31. team_season = pd.read_csv('../input/NBAdata/team_season.csv')
  32. tot = pd.read_csv('../input/NBAdata/tot.csv')
  33. team_season.head()
  34. team_playoff.columns