numpy.shape # numpy.shape(a) [source] # Return the shape of an array. Parameters: aarray_like Input array. Returns: shapetuple of ints The elements of the shape tuple give the lengths of the …

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 …

Aug 3, 2022 · With the shape () method, comes the flexibility to obtain the dimensions of any Python object. Yes, it returns a tuple value that indicates the dimensions of a Python object.

May 8, 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.

Jul 15, 2025 · The shape of an array can be defined as the number of elements in each dimension. Dimension is the number of indices or subscripts, that we require in order to specify an individual …

Unlike the len () method, which only returns the number of rows, shape provides both row and column counts, making it a more informative method for understanding dataset size.

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 …

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 …