import numpy as np
x= np.array([1,2])
y =np.array([3,4])
xi, yi = np.meshgrid(x,y)
print('xi: \n',xi)
print('yi: \n',yi)
print('xi.ravel: \n',xi.ravel())
print('yi.ravel: \n',yi.ravel())
print('np.vstack([xi,yi]): \n',np.vstack([xi,yi]))
print('np.vstack([xi.ravel(),yi.ravel()]): \n',np.vstack([xi.ravel(),yi.ravel()]))
print('np.vstack([xi.ravel(),yi.ravel()]).T: \n',np.vstack([xi.ravel(),yi.ravel()]).T)
xi:
[[1 2]
[1 2]]
yi:
[[3 3]
[4 4]]
xi.ravel:
[1 2 1 2]
yi.ravel:
[3 3 4 4]
np.vstack([xi,yi]):
[[1 2]
[1 2]
[3 3]
[4 4]]
np.vstack([xi.ravel(),yi.ravel()]):
[[1 2 1 2]
[3 3 4 4]]
np.vstack([xi.ravel(),yi.ravel()]).T:
[[1 3]
[2 3]
[1 4]
[2 4]]
输出结果中,np.vstack([xi.ravel(),yi.ravel()]).T 即为最终所求的xy坐标组。