将 ndarray 从 float64 转换为整数

问题描述

我在 python 中有一个 ndarray 和 float64 的 dtype.我想将数组转换为整数数组.我该怎么做?

int() 不起作用，因为它说它无法将其转换为标量.更改 dtype 字段本身显然不起作用，因为实际字节没有改变.我似乎在 Google 或文档中找不到任何内容 - 执行此操作的最佳方法是什么?

解决方案

使用 .astype.

>>>a = numpy.array([1, 2, 3, 4], dtype=numpy.float64)>>>一个数组([ 1., 2., 3., 4.])>>>a.astype(numpy.int64)数组([1, 2, 3, 4])

请参阅文档了解更多信息选项.

I've got an ndarray in python with a dtype of float64. I'd like to convert the array to be an array of integers. How should I do this?

int() won't work, as it says it can't convert it to a scalar. Changing the dtype field itself obviously doesn't work, as the actual bytes haven't changed. I can't seem to find anything on Google or in the documentation - what's the best way to do this?

解决方案

Use .astype.

>>> a = numpy.array([1, 2, 3, 4], dtype=numpy.float64)
>>> a
array([ 1.,  2.,  3.,  4.])
>>> a.astype(numpy.int64)
array([1, 2, 3, 4])

See the documentation for more options.

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