[solved] ValueError: numpy.ndarray size changed, may indicate binary incompatibility. Expected 88 from C header, got 80 from PyObject?

Hello Guys How Are You All ? Hope You all are fine. Today I Have Faced In Python. ValueError: numpy.ndarray size changed, may indicate binary incompatibility. Expected 88 from C header, got 80 from PyObject. numpy.ndarray size changed, may indicate binary incompatibility.So Here I am Explain to you all the possible solutions Here.

Without Wasting your time, Lets start This Article to Solve This Error in Anaconda

How ValueError: numpy.ndarray size changed, may indicate binary incompatibility. Expected 88 from C header, got 80 from PyObject Occurs?

Importing from pyxdameraulevenshtein gives the following error, I have

pyxdameraulevenshtein==1.5.3, 
pandas==1.1.4 and 
scikit-learn==0.20.2. 
Numpy is 1.16.1. 
Works well in Python3.6, Issue in Python3.7.

Has anyone been facing similar issues with Python3.7 (3.7.9), docker image – python:3.7-buster

__init__.pxd:242: in init pyxdameraulevenshtein
    ???
E   ValueError: numpy.ndarray size changed, may indicate binary incompatibility. Expected 88 from C header, got 80 from PyObject

How to Solve ValueError: numpy.ndarray size changed, may indicate binary incompatibility. Expected 88 from C header, got 80 from PyObject?

Solutions:

Question: ValueError: numpy.ndarray size changed, may indicate binary incompatibility. Expected 88 from C header, got 80 from PyObject?
Answer: Expected 88 from C header, got 80 from PyObject … try with numpy==1.20.0 this worked here, even though other circumstances are different (python3.8 on alpine 3.12). … There was a change in the C API in numpy 1.20.0 . … (The other way around it should not matter, because of backwards compatibility.

Solution 1

I’m in Python 3.8.5. It sounds too simple to be real, but I had this same issue and all I did was reinstall numpy. Gone.

pip uninstall numpy
pip install numpy

Solution 2

try with numpy==1.20.0 this worked here, even though other circumstances are different (python3.8 on alpine 3.12).

Solution 3

I had this issue when using the tensorflow object api. Tensorflow is currently NOT compatible with numpy==1.20 (although this issue is not apparent until later). In my case, the issue was caused by pycocotools. I fixed by installing an older version.

pip install pycocotools==2.0.0

Soution 4

Indeed, (building and) installing with numpy>=1.20.0 should work, as pointed out e.g. by this answer below. However, I thought some background might be interesting — and provide also alternative solutions.

There was a change in the C API in numpy 1.20.0. In some cases, pip seems to download the latest version of numpy for the build stage, but then the program is run with the installed version of numpy. If the build version used in <1.20, but the installed version is =>1.20, this will lead to an error.

(The other way around it should not matter, because of backwards compatibility. But if one uses an installed version numpy<1.20, they did not anticipate the upcoming change.)

This leads to several possible ways to solve the problem:

  • upgrade to numpy>=1.20.0
  • use minmum supported numpy version in pyproject.toml (oldest-supported-numpy)
  • install with --no-binary
  • install with --no-build-isolation

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?

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