从sklearn导入train_test_split时scipy库错误

Question

我正在应用实现推荐系统的教程，从sklearn.selection_model train_test_split导入以进行训练/测试拆分时遇到了一个问题。

import numpy as np
import pandas as pd
from sklearn.model_selection import train_test_split

#create columns name
header = ['user_id', 'item_id', 'rating', 'timestamp']
#read data containing the full dataset of ratings
df = pd.read_csv('ml-100k/u.data', sep='\t', names=header)

n_users = df.user_id.unique().shape[0]
n_items = df.item_id.unique().shape[0]

print 'Number of users = ' + str(n_users) + ' | Number of movies = ' + str(n_items)
#train_data, test_data = train_test_split(df,test_size=0.25)

#print 'train shape = ' + str(train_data.shape)

记录错误：

追溯（最近一次通话）：文件“ C：/Users/PycharmProjects/recommendation_system_trials/engine.py”，第3行，来自sklearn.model_selection import train_test_split文件“ C：\\ Users \\ hello2 \\ lib \\ site-packages \\ sklearn__init__ .py“，第57行，来自.base导入克隆文件” C：\\ Users \\ hello2 \\ lib \\ site-packages \\ sklearn \\ base.py“，第10行，来自scipy import sparse ImportError：没有名为scipy的模块

为什么我收到此错误，我没有使用scipy，我只想导入train_test_split。

谢谢您的帮助。