1.将数据写入csv文件，应该可以python代码直接实现数据集的写入，但我对文件读取这块不太熟练，等我成功了再加上，这里我直接手写将数据集写入Excel

2.然后把后缀改成.csv就可以了，利用pandas读取

import matplotlib.pyplot as plt

file = 'bp_test.csv'

import pandas as pd

df = pd.read_csv(file, header=None)

x = df.iloc[:,].values

print(x)

读取结果

[[-1.     -0.9602]

 [-0.9    -0.577 ]

 [-0.8    -0.0729]

 [-0.7     0.3771]

 [-0.6     0.6405]

 [-0.5     0.66  ]

 [-0.4     0.4609]

 [-0.3     0.1336]

 [-0.2    -0.2013]

 [-0.1    -0.4344]

 [ 0.     -0.5   ]

 [ 0.1    -0.393 ]

 [ 0.2    -0.1647]

 [ 0.3     0.0988]

 [ 0.4     0.3072]

 [ 0.5     0.396 ]

 [ 0.6     0.3449]

 [ 0.7     0.1816]

 [ 0.8    -0.0312]

 [ 0.9    -0.2189]

 [ 1.     -0.3201]]

3.将21个数据可视化

plt.scatter(x[:,0], x[:,1], color='red', marker='x', label='mark')

plt.xlabel('x')

plt.ylabel('y')

plt.legend(loc='upper left')

plt.show()

运行结果