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This article mainly introduces "how to solve ValueError errors in Numpy". In daily operation, I believe many people have doubts about how to solve ValueError errors in Numpy. The editor consulted all kinds of materials and sorted out simple and easy-to-use operation methods. I hope it will be helpful to answer the doubts of "how to solve ValueError errors in Numpy". Next, please follow the editor to study!

Error:

ValueError: numpy.ufunc size changed,may indicate binary incompatibility. Expected 216 from C header, got 192 from PyObject

After searching the Internet, I found two related errors, one of which is due to the high version of numpy. The error goes something like this:

ValueError: numpy.ufunc size changed, may indicate binary incompatibility.Expected 216 got 192

This should be because the numpy version is too high. I tried my question, but I couldn't. Later, I only searched the second half of the sentence and found that the numpy version was too low. I attached the terminal command to uninstall, install, and upgrade numpy:

Sudo pip uninstall numpysudo pip install numpy==1.14.5sudo pip install-upgrade numpy at this point, the study on "how to solve ValueError errors in Numpy" is over. I hope to be able to solve everyone's doubts. The collocation of theory and practice can better help you learn, go and try it! If you want to continue to learn more related knowledge, please continue to follow the website, the editor will continue to work hard to bring you more practical articles!

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