訓練模型導入資料的三種方法

資料集是UCI網站獲得，為五年内印第安人糖尿病的醫療資料

1. -----------------------------------------------采用python類庫導入資料-----------------------------------------------------------

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)
    data = np.array(x).astype('float')
    print(data.shape)
           

1. -----------------------------------------------采用numpy導入資料---------------------------------------------------------------

from numpy import loadtxt

filename = 'pima.csv'
with open(filename, 'rt') as raw_data:
    data = loadtxt(raw_data, delimiter=',')
    print(data.shape)
           

1. -----------------------------------------------采用pandas導入資料---------------------------------------------------------------

推薦使用

from pandas import read_csv
filename = 'pima.csv'
names = ['preg','plas','pres','skin','test','mass','pedi','age','class']
data = read_csv(filename,names=names)
print(data.shape)