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[Solved] Python: DeprecationWarning: elementwise == comparison failed; this will raise an error in the future

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.

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 ?

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

  2. 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, predictionslabels? 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, predictionslabels? 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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