如何正确舍入 numpy 浮点数组 [英] How to properly round numpy float arrays

问题描述

在舍入浮点数时我有一些舍入问题.

I have some sort of rounding issue when rounding floats.

x = np.array([[1.234793487329877,2.37432987432],[1.348732847,8437.328737874]])
np.round(x,2)

array([[  1.23000000e+00,   2.37000000e+00],
       [  1.35000000e+00,   8.43733000e+03]])

有没有办法在没有零扩展名的情况下显示这些数字?

Is there a way to display these numbers without the zero extensions?

推荐答案

四舍五入浮点数几乎是不需要的(除非你想把它们存储起来，那么你的代码会工作得很好)，如果你只想用精度较低，使用此:

Rounding floating point numbers is almost never needed (unless you want to bucket them, then your code will work just fine), if you only want to print them with less precision, use this:

print(np.array_str(x, precision=2))

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