I have x and y values with (200,5) and (200,5) shape. I would like take cross product with numpy. cross. I get error
incompatible dimensions for cross product (dimension must be 2 or 3)
Are there any way to calculate cross product with np.cross(x,y) in python?
I expect to calculate cross product in python.
>Solution :
The cross product can only be taken between 1-D or 2-D arrays of length 3. Therefore, the error message you are getting indicates that the input arrays have incompatible shapes for the cross product. In your case, both input arrays have shape (200, 5), which is not compatible for the cross product.
If you want to take the cross product between two arrays that are not of length 3, you can reshape them into a compatible shape. However, you need to make sure that the resulting arrays have the correct dimensions.
If you want to take the cross product between two arrays of shape (200, 5), you can reshape them into arrays of shape (1000, 3) and then take the cross product as follows:
import numpy as np
# Define the input arrays
x = np.random.rand(200, 5)
y = np.random.rand(200, 5)
# Reshape the input arrays into arrays of shape (1000, 3)
x_reshaped = x.reshape(-1, 3)
y_reshaped = y.reshape(-1, 3)
# Take the cross product between the two arrays
result = np.cross(x_reshaped, y_reshaped)
# Reshape the result array back into its original shape
result = result.reshape(200, 5, 3)
Here, we reshape both input arrays into arrays of shape (1000, 3) using the reshape method. Then, we take the cross product between the two arrays using np.cross. Finally, we reshape the result array back into its original shape (200, 5, 3) using the reshape method.
Please note that the resulting array will have shape (200, 5, 3) and the third dimension will contain the components of the cross product.