将numpy字符串数组转换为int数组 [英] convert numpy string array into int array

问题描述

我有一个numpy.ndarray

I have a numpy.ndarray

a = [['-0.99' '' '0.56' ..., '0.56' '-2.02' '-0.96']]

如何将其转换为int?

how to convert it to int?

输出:

a = [[-0.99 0.0 0.56 ..., 0.56 -2.02 -0.96]]

我要用0.0代替空白"

I want 0.0 in place of blank ''

推荐答案

import numpy as np

a = np.array([['-0.99', '', '0.56', '0.56', '-2.02', '-0.96']])
a[a == ''] = 0.0
a = a.astype(np.float)

结果是:

[[-0.99  0.    0.56  0.56 -2.02 -0.96]]

您的值是浮点数，而不是整数.目前尚不清楚是否要使用列表列表或numpy数组作为最终结果.您可以轻松获得这样的列表列表:

Your values are floats, not integers. It is not clear if you want a list of lists or a numpy array as your end result. You can easily get a list of lists like this:

a = a.tolist()

结果:

[[-0.99, 0.0, 0.56, 0.56, -2.02, -0.96]]

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