array broadcasting python

Опубликовано: 14 Январь 2025
на канале: pyGPT

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array broadcasting is a powerful feature in numpy, a popular numerical computing library in python. it allows you to perform operations on arrays of different shapes and sizes, making your code more concise and efficient. in this tutorial, we'll explore the concept of array broadcasting and provide code examples to help you understand and leverage this feature.
array broadcasting is a technique that enables numpy to perform element-wise operations on arrays with different shapes. it automatically adjusts the smaller array's shape to match the larger array, making the operation compatible.
the broadcasting rule:
let's dive into some examples to illustrate these concepts.
in this example, the scalar 2 is broadcasted to each element in the array arr. the result is [3, 4, 5, 6].
here, the 1d array [10, 20, 30] is broadcasted to each row of the 2d array arr_2d. the result is [[11, 22, 33], [14, 25, 36]].
in this case, the scalar 10 is broadcasted to each element in the 2d array arr_2d, resulting in [[11, 12, 13], [14, 15, 16]].
attempting to broadcast arrays with incompatible shapes will raise a valueerror.
array broadcasting is a powerful and convenient feature in numpy that allows you to perform element-wise operations on arrays of different shapes. by understanding the broadcasting rules, you can write more concise and readable code for your numerical computing tasks in python. experiment with different examples to gain a better grasp of array broadcasting and enhance your proficiency in using numpy.
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