为什么我不能抑制numpy警告

问题描述

我真的想避免这些烦人的numpy警告，因为我必须处理很多NaNs.我知道这通常是用seterr完成的，但是由于某些原因，它不起作用:

I really want to avoid these annoying numpy warnings since I have to deal with a lot of NaNs. I know this is usually done with seterr, but for some reason here it does not work:

import numpy as np
data = np.random.random(100000).reshape(10, 100, 100) * np.nan
np.seterr(all="ignore")
np.nanmedian(data, axis=[1, 2])

即使我将numpy设置为忽略所有错误，它也会向我发出运行时警告...任何帮助?

It gives me a runtime warning even though I set numpy to ignore all errors...any help?

编辑(这是收到的警告):

Edit (this is the warning that is recieved):

/opt/local/Library/Frameworks/Python.framework/Versions/3.4/lib/python3.4/site-p‌​ackages/numpy/lib/nanfunctions.py:612: RuntimeWarning: All-NaN slice encountered warnings.warn("All-NaN slice encountered", RuntimeWarning)

谢谢:)

推荐答案

警告通常很有用，在大多数情况下我不建议这样做，但是您始终可以使用 Warnings 模块忽略带有filterwarnings的所有警告:

Warnings can often be useful and in most cases I wouldn't advise this, but you can always make use of the Warnings module to ignore all warnings with filterwarnings:

warnings.filterwarnings('ignore')

如果您想唯一地排除特定错误，则可以使用以下命令进行指定:

Should you want to suppress uniquely your particular error, you could specify it with:

with warnings.catch_warnings():
    warnings.filterwarnings('ignore', r'All-NaN (slice|axis) encountered')

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