课程: Python Functions for Data Science

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Scalar operations on NumPy arrays

Scalar operations on NumPy arrays - Python教程

课程: Python Functions for Data Science

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Scalar operations on NumPy arrays

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- Another advantage of working with Numpy Arrays is that scalar operations on Numpy Arrays are efficient and easy to do. Note that scalar operations on Numpy Arrays are performed element wise. I'll be walking through some examples to demonstrate these operations. I'm initializing a variable named arrayA as a one dimensional Numpy Array containing the even integers between two and 20 inclusive. Let's say I want to add three to each element of arrayA, thereby creating a new Numpy Array that contains the result. It would look like this. Now say I want to subtract four from each element of arrayA, thereby creating a new Numpy Array that contains the result. It would look like this. Then say I want to multiply each element of arrayA by five, thereby creating a new Numpy Array that contains the result. It would look like this. Next, say I want to divide each element of arrayA by two, thereby creating a new Numpy Array that contains…

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