How to ignore all numpy warnings?
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How to ignore all numpy warnings?

How to ignore all numpy warnings?

This recipe helps you ignore all numpy warnings

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Recipe Objective

We encounter certain warnings especially while working over nan values. Such warning can often be frustating. But we can handle cautionly.

So this recipe is a short example on how to ignore all numpy warnings.Let's get started.

Step 1 - Import the library

import numpy as np

Let's pause and look at these imports. Numpy is generally used for working over arrays and performing mathematical operations.

Step 2 - Setup the Data

data = np.random.random(1000).reshape(10, 10,10) * np.nan

We have simply setup a random data.

Step 3 - Setup warning controller

np.seterr(all="ignore")

Seterr function comes handy for control of warnings. Here all='ignore' helps in ignoring any type of warnings we might encounter.

Step 4 - Calling warning statement

np.nanmedian(data, axis=[1, 2])

Above statement bascially triggers a warning. However, because of seterr function, it's being ignored. We will only see output of above code with no warning in final run.

Step 5 - Lets look at our dataset now

Once we run the above code snippet, we will see: 

array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan])

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