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 by assigning a tuple of array dimensions to it.

NumPy arrays have an attribute called shape that returns a tuple with each index having the number of corresponding elements. Print the shape of a 2-D array: The example above returns (2, 4), which …

Jul 15, 2025 · In this example, two NumPy arrays arr1 and arr2 are created, representing a 2D array and a 3D array, respectively. The shape of each array is printed, revealing their dimensions and sizes …

May 16, 2025 · Learn how to use NumPy shape in Python to understand and manipulate array dimensions. Examples with real-world data, reshaping techniques, and common solutions.

Apr 23, 2025 · You can get the number of dimensions, the shape (length of each dimension), and the size (total number of elements) of a NumPy array (numpy.ndarray) using the ndim, shape, and size …

Mar 4, 2025 · Learn how to determine the shape and size of arrays in Python using NumPy's shape () and size () functions. This article provides clear examples, detailed explanations, and practical …

Feb 13, 2025 · In this article, I have explained how to get the shape of a Python NumPy array by using numpy.ndarray.shape properties with examples. This returns a tuple with the number of rows and …

NumPy, the cornerstone of numerical computing in Python, provides powerful tools for creating and manipulating multi-dimensional arrays, known as ndarrays. A fundamental aspect of working with …

Nov 30, 2017 · For a 1D array, the shape would be (n,) where n is the number of elements in your array. For a 2D array, the shape would be (n,m) where n is the number of rows and m is the number of …

In this blog post, we will explore the concept of NumPy array shape in detail, covering its fundamental concepts, usage methods, common practices, and best practices.