Web Reference: 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 corresponding array dimensions. 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 along each dimension. Set operations in NumPy involve performing mathematical set operations on arrays, such as union, intersection, difference, and checking for unique elements. These operations are particularly useful for handling and analyzing distinct values within datasets −
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