Using numpy.array with large number of dimensions

Question

If you try to make an array with large number of dimensions in numpy, it throws an exception:

In [1]: import numpy as np

In [2]: a = np.zeros((1,) * 33)
---         


        

Answer 1

From the NumPy source code:

/*
 * There are several places in the code where an array of dimensions
 * is allocated statically.  This is the size of that static
 * allocation.
 *
 * The array creation itself could have arbitrary dimensions but all
 * the places where static allocation is used would need to be changed
 * to dynamic (including inside of several structures)
 */

#define NPY_MAXDIMS 32
#define NPY_MAXARGS 32

You could change those defines and build from source a non-compatible version that fits your needs.