from matplotlib import pyplot as plt
import numpy as np
import tensorflow as tf
boston_housing = tf.keras.datasets.boston_housing #指定要下载的数据集
(train_x,train_y),(_,_) = boston_housing.load_data(test_split=0)#下载数据集,只要训练数据集
plt.figure(figsize=(5,5))
plt.scatter(train_x[:,5],train_y)#取每条数据的第5列即房间数量作为自变量,训练结果房价为因变量
plt.xlabel("RW")
plt.ylabel("Prie($1000's)")
plt.title("5. RM-Price")
plt.show()