The parameters given here refer to a low-level method (ndarray (…)) for instantiating an array. For more information, refer to the numpy module and examine the methods and attributes of an array.

The N-dimensional array (ndarray) # An ndarray is a (usually fixed-size) multidimensional container of items of the same type and size. The number of dimensions and items in an array is defined by its …

The parameters given here refer to a low-level method (ndarray (…)) for instantiating an array. For more information, refer to the numpy module and examine the methods and attributes of an array.

This document will cover general methods for ndarray creation. 1) Converting Python sequences to NumPy arrays # NumPy arrays can be defined using Python sequences such as lists and tuples. …

As in Python, all indices are zero-based: for the i -th index n i, the valid range is 0 ≤ n i <d i where d i is the i -th element of the shape of the array. Negative indices are interpreted as counting from the end …

If you want to store a single ndarray object, store it as a .npy file using np.save. If you want to store more than one ndarray object in a single file, save it as a .npz file using np.savez.

Dec 21, 2025 · NumPy reference # Release: 2.4 Date: December 21, 2025 This reference manual details functions, modules, and objects included in NumPy, describing what they are and what they …

numpy.ndarray.size # attribute ndarray.size # Number of elements in the array. Equal to np.prod(a.shape), i.e., the product of the array’s dimensions. Notes a.size returns a standard …

numpy.ndarray.shape # attribute ndarray.shape # Tuple of array dimensions. The shape property is usually used to get the current shape of an array, but may also be used to reshape the array in-place …

Returns: outndarray Array interpretation of a. No copy is performed if the input is already an ndarray with matching dtype and order. If a is a subclass of ndarray, a base class ndarray is returned.