import urllib.requestimport requestsfrom io import StringIOimport numpy as npimport pandas as pd'''下載網絡文件，并導入CSV文件作為numpy的矩陣'''# 網絡數據文件地址url = "http://archive.ics.uci.edu/ml/machine-learning-databases/pima-indians-diabetes/pima-indians-diabetes.data"# 方法一# ========================================================# 下載文件#r = urllib.request.urlopen(url)# 導入CSV文件作為numpy的矩陣#dataset = np.loadtxt(r, delimiter=",")# 方法二# ========================================================# 下載文件#r = requests.get(url)# 導入CSV文件作為numpy的矩陣#dataset = np.loadtxt(StringIO(r.text), delimiter=",") # 此處用到 StringIO ！！！！！！# 方法三# ========================================================#用genfromtxt直接下載網絡文件，并將CSV文件導作numpy矩陣。爽！！！！！！！！#dataset = np.genfromtxt(url, delimiter=",")# 方法四# ========================================================# 用pandas.read_csv直接下載網絡文件，并將CSV文件導作pandas.DataFrame。# dataset = pd.read_csv('http://www-bcf.usc.edu/~gareth/ISL/Advertising.csv', index_col=0)dataset = pd.read_csv(url)# ========================================================# separate the data from the target attributesX = dataset[:,0:7]y = dataset[:,8]print(X)#print(y)