Question

我有以下代码：

import scipy as sc
import matplotlib.pyplot as plt
....
MeanSquareDistance1D=lambda n,m: ((m*Lastpoint1d(n)**2).sum())/m
......

data=[]
for i in range(10,110,20):
    #mydata=list(sc.mat([[i],[MeanSquareDistance1D(i,2000)]]))
    #data.append(mydata)

    mydata=(sc.array([i,MeanSquareDistance1D(i,2000)])).tolist() I did it like this
    data.append(mydata)

plt.plot(data)
plt.show()

我希望'mydata'是一个矩阵或数组（最好）（我将它转换为一个列表以便绘制图表），有i行（5行）和2列。第一列应为'i'，第二列应为MeanSquareDistance1D（i，2000）的值。我收到错误'ValueError：x，y可以不大于2-D'

Answer 1

import scipy as sc
import matplotlib.pyplot as plt
....
MeanSquareDistance1D=lambda n,m: ((m*Lastpoint1d(n)**2).sum())/m
......

data=[]
for i in range(10,110,20):
    #mydata=list(sc.mat([[i],[MeanSquareDistance1D(i,2000)]]))
    #data.append(mydata)

    mydata=(sc.array([i,MeanSquareDistance1D(i,2000)])).tolist() I did it like this
    data.append(mydata)

plt.plot(data)
plt.show()

scipy - 如何制作具有特定行和列的矩阵

1 个答案: