导入数据的几种方法

采用标准python类库导入数据

#读取文件
from csv import reader
import numpy as np
filename = 'pima.csv'
with open(filename, 'rt') as raw_data:
    readers = reader(raw_data, delimiter=',')
    x = list(readers)
    #把数组中的数字转换成float类型（如果有非数字，就不能转换）
    data = np.array(x).astype('float')
    print(data.shape)

采用NumPy导入数据

#采用NumPy导入数据
from numpy import loadtxt
filename = 'pima.csv'
with open(filename, 'rt') as raw_data:
    data = loadtxt(raw_data, delimiter=',')
    print(data.shape)

采用pandas导入数据

from pandas import read_csv
filename = 'pima.csv'
#这里为数据补充了文件头
names = ['preg', 'plas', 'pres', 'skin', 'test', 'mass', 'pedi', 'age', 'class']
data = read_csv(filename, names=names)
print(data.shape)