Numpy: Create a 1D array of numpy arrays when all arrays have the same length

Question

I want to be able to convert an existing 2D array to a 1D array of arrays. The only way I can find is to use something like:

my_2d_array = np.random.random((         


        

Answer 1

There are methods like ravel, flatten and reshape to do the job. Learn the difference between them here in this link.

Using ravel or flatten as

my_1d_array = my_2d_array.flatten() # Return (15,) dimension 
my_1d_array = my_2d_array.ravel() # Return (15,) dimension

Such (15,) type may inflict some inconsistency when performing some matrix operation and result inconsistent data result or program error.

So I prefer you to use reshape as follows:

my_1d_array = my_2d_array.reshape((-1,1)) # Returns (15,1) dimension
or,
my_1d_array = my_2d_array.reshape((1,-1)) # Returns (1,15) dimension

This way of reshaping into (x, y) ensures matrix operation will always result consistent data without any bugs.