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导入数据     2020/5/27================================================================================= 1.1.sklearn中导入数据方法有:pandas.read_csv,np.loadtxt,python csv.reader1.2.sklearn中数据多为numpy 2D,1D,pd.Series,pd.DataFrame,list1.3.数据类型多为np.float64,int64=================================================================================2.实例：import csv,pandas as pd,numpy as np# 使用numpy导入CSV数据filename = 'pima_data.csv'with open(filename, 'rt') as raw_data:    data = np.loadtxt(raw_data, delimiter=',')    print(data.shape)# 使用Pandas导入CSV数据filename = 'pima_data.csv'names = ['preg', 'plas', 'pres', 'skin', 'test', 'mass', 'pedi', 'age', 'class']data = pd.read_csv(filename, names=names)print(data.shape)# 使用标准的Python类库导入CSV数据filename = 'pima_data.csv'with open(filename, 'rt') as raw_data:    readers = csv.reader(raw_data, delimiter=',')    x = list(readers)    data = np.array(x).astype('float')    print(data.shape)==================================================================================

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