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- # coding=utf-8
- '''
- 导入数据,13个csv文件,并查看相关数据格式。
- Created on 2017年9月12日
- @vsersion:python 3.6
- @author: liuyuqi
- '''
- # 导入需要的第三方库
- import matplotlib.pyplot as plt
- import numpy as np
- import pandas as pd
- from nt import chdir
- projectPath = "D:/app/NBA"
- def preImport():
- print("start!")
- chdir(projectPath)
- print("finish!")
- # 导入数据,预览数据
- def importData():
- team_season = pd.read_csv('../input/NBAdata/team_season.csv')
- advanced_basic = pd.read_csv('../input/NBAdata/advanced_basic.csv')
- advanced_shooting = pd.read_csv('../input/NBAdata/advanced_shooting.csv')
- avg = pd.read_csv('../input/NBAdata/avg.csv')
- coach_playoff = pd.read_csv('../input/NBAdata/coach_playoff.csv')
- coach_season = pd.read_csv('../input/NBAdata/coach_season.csv')
- player_playoff = pd.read_csv('../input/NBAdata/player_playoff.csv')
- player_salary = pd.read_csv('../input/NBAdata/player_salary.csv')
- player_season = pd.read_csv('../input/NBAdata/player_season.csv')
- single = pd.read_csv('../input/NBAdata/single.csv')
- team_playoff = pd.read_csv('../input/NBAdata/team_playoff.csv')
- team_season = pd.read_csv('../input/NBAdata/team_season.csv')
- tot = pd.read_csv('../input/NBAdata/tot.csv')
-
- team_season.head()
- team_playoff.columns
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