各数据特征与房价的关系

from sklearn.datasets import load_boston
boston = load_boston()
print(boston.keys())

data = boston.data
x = data[:,5]
y = boston.target

import matplotlib.pyplot as plt
plt.scatter(x,y)
plt.plot(x,9*x-30)
plt.show()

 

from sklearn.datasets import load_boston
boston = load_boston()
print(boston.keys())

data = boston.data
x = data[:,6]
y = boston.target

import matplotlib.pyplot as plt
plt.scatter(x,y)
plt.plot(x,9*x-30)
plt.show()

 

from sklearn.datasets import load_boston
boston = load_boston()
print(boston.keys())

data = boston.data
x = data[:,10]
y = boston.target

import matplotlib.pyplot as plt
plt.scatter(x,y)
plt.plot(x,9*x-30)
plt.show()

 

 

 

from sklearn.datasets import load_boston
boston = load_boston()
print(boston.keys())

data = boston.data
x = data[:,7]
y = boston.target

import matplotlib.pyplot as plt
plt.scatter(x,y)
plt.plot(x,9*x-30)
plt.show()

 

from sklearn.datasets import load_boston
boston = load_boston()
print(boston.keys())

data = boston.data
x = data[:,9]
y = boston.target

import matplotlib.pyplot as plt
plt.scatter(x,y)
plt.plot(x,9*x-30)
plt.show()

 

from sklearn.datasets import load_boston
boston = load_boston()
print(boston.keys())

data = boston.data
x = data[:,8]
y = boston.target

import matplotlib.pyplot as plt
plt.scatter(x,y)
plt.plot(x,9*x-30)
plt.show()