x轴为1d的Numpy数组且y轴为2d的Numpy数组时的散点图

Question

I am trying to plot the relation between two sets x and y, x is a vector (1d Numpy array) while y is a 2d Numpy array, and their values are float numbers. Each element from the vector x corresponds to 1d vector from y (to be specific the i-th element in x corresponds to the i-th column form y).

x=np.array([0.01,0.02,0.03,0.04,0.05,0.06,0.07,0.08,0.09,0.10,0.11,0.12,0.13,0.14,0.15])

and its shape is (15,)

y shape is (1000, 15)

And here what I have done:

fig, ax = plt.subplots()

for i, x in enumerate(x):
    ax.scatter(x,y[:,i])

plt.show()

ValueError: x and y must be the same size

Answer 1

A scatter plot places points that each have 1 x- and 1 y-value. You just tried to plot points that that have 1 x- and 1000 y-values. Of course python doesn't know what to do with that. You can try to fill out the necessary x values. Also try to avoid double usage of x:

fig, ax = plt.subplots()

for i, val in enumerate(x):
    ax.scatter([val]*1000,y[:,i])

plt.show()

Answer 2

try this:

fig, ax = plt.subplots()
ax.scatter(x,y[0,:])
plt.show()