Hello Guys, How are you all? Hope You all Are Fine. Today I get the following error **Python: DeprecationWarning: elementwise == comparison failed; this will raise an error in the future** **in python**. So Here I am Explain to you all the possible solutions here.

Without wasting your time, Let’s start This Article to Solve This Error.

Table of Contents

## How Python: DeprecationWarning: elementwise == comparison failed; this will raise an error in the future Error Occurs?

Today I get the following error **Python: DeprecationWarning: elementwise == comparison failed; this will raise an error in the future** **in python**.

## How To Solve Python: DeprecationWarning: elementwise == comparison failed; this will raise an error in the future Error ?

**How To Solve Python: DeprecationWarning: elementwise == comparison failed; this will raise an error in the future Error ?**To Solve Python: DeprecationWarning: elementwise == comparison failed; this will raise an error in the future Error can you tell us something about the 2 arrays,

`predictions`

,`labels`

? The usual stuff – dtype, shape, some sample values. Maybe go the extra step and show the`np.argmax(...)`

for each.**Python: DeprecationWarning: elementwise == comparison failed; this will raise an error in the future**To Solve Python: DeprecationWarning: elementwise == comparison failed; this will raise an error in the future Error can you tell us something about the 2 arrays,

`predictions`

,`labels`

? The usual stuff – dtype, shape, some sample values. Maybe go the extra step and show the`np.argmax(...)`

for each.

## Solution 1

I assume the error occurs in this expression:

np.sum(np.argmax(predictions, 1) == np.argmax(labels, 1))

can you tell us something about the 2 arrays, `predictions`

, `labels`

? The usual stuff – dtype, shape, some sample values. Maybe go the extra step and show the `np.argmax(...)`

for each.

In `numpy`

you can compare arrays of the same size, but it has become pickier about comparing arrays that don’t match in size:

In [522]: np.arange(10)==np.arange(5,15) Out[522]: array([False, False, False, False, False, False, False, False, False, False], dtype=bool) In [523]: np.arange(10)==np.arange(5,14) /usr/local/bin/ipython3:1: DeprecationWarning: elementwise == comparison failed; this will raise an error in the future. #!/usr/bin/python3 Out[523]: False

## Solution 2

This error is telling you that the comparisson you’re performing doesn’t really make sense, since both arrays have different shapes, hence it can’t perform elementwise comparisson. Here’s an example:

x = np.random.randint(0,5,(3,2)) y = np.random.randint(0,5,(5,7))

Where attempting to do `x==y`

will yield:

DeprecationWarning: elementwise comparison failed; this will raise an error in the future. x==y

The right way to do this, would be to use `np.array_equal`

, which checks equality of both shape and elements:

np.array_equal(x,y) # False

In the case of floats, `np.allclose`

is more suited, since it allows to control both the relative and absolute tolerance of the comparisson result. Here’s an example:

x = np.random.random((400,34)) y = x.round(6) np.array_equal(x,y) # False np.allclose(x,y) # False np.allclose(x,y, atol=1e-05) # True

**Summery**

It’s all About this issue. Hope all solution helped you a lot. Comment below Your thoughts and your queries. Also, Comment below which solution worked for you? Thank You.

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