the difference between import numpy as np and from numpy import pi

最新推荐文章于 2022-07-11 07:38:00 发布

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最新推荐文章于 2022-07-11 07:38:00 发布

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分类专栏：机器学习历程文章标签： python 机器学习

原文链接：https://stackoverflow.com/questions/57889937/what-is-the-difference-between-import-numpy-as-np-and-from-numpy-import-array

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本文探讨了在Python中使用numpy库时，`import numpy as np`和`from numpy import array`两种导入方式的区别。`as`关键字用于创建别名，简化长模块名的使用，而`from...import`则允许选择性导入模块的部分内容。作者推荐在需要频繁调用numpy功能时使用`np`别名，以提高代码可读性和效率。

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import numpy as np 和 from numpy import pi的区别（转载自stack Overflow)

as keyword allows you to use shorthands and rename stuff. Particularly useful when you have long names or use things from that module a lot. In numpy you use a lot of stuff from it, so it’s certainly better to write np. than numpy. when there’s a lot of such calls, isn’t it?

from … import is just a way of importing only some components. If you use that lib a lot in your code, you do import . If you need only some elements and names don’t clash with yours, you do from import ,

Important: from … import still allows as notation! They are not counterparts. My fav shorthand is from pprint import pprint as pp when debugging in the console.