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dosubot avatar dosubot commented on August 15, 2024 6

To resolve the ValueError: numpy.dtype size changed, may indicate binary incompatibility. Expected 96 from C header, got 88 from PyObject error, you can try updating or reinstalling the numpy package. This error often occurs due to a mismatch between the versions of numpy and other packages that depend on it.

Here is how you can update numpy using pip:

pip install --upgrade numpy

If updating numpy does not resolve the issue, you can try reinstalling it:

pip uninstall numpy
pip install numpy

Additionally, ensure that all your packages are compatible with each other by updating them:

pip install --upgrade pandas pandasai

These steps should help resolve the binary incompatibility issue [1].

To continue talking to Dosu, mention @dosu.

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wjjc1017 avatar wjjc1017 commented on August 15, 2024 6

This is because numpy has recently been upgraded to version 2.0.0, which is different from version 1.26.*. By default, pip install numpy==2.0.0 is used. The solution is simply to run
pip install numpy==1.26.4 pyyaml

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NehaKoppikar avatar NehaKoppikar commented on August 15, 2024

This is not resolving the issue

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naaman avatar naaman commented on August 15, 2024

Came here to mention I also had to downgrade numpy. Hopefully 2.0 compatibility is coming. If it's not getting fixed, it's probably worth mentioning in the docs that it's not (yet?) compatible with numpy 2.0+ and you should specify the latest 1.x release.

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NehaKoppikar avatar NehaKoppikar commented on August 15, 2024

Downgrading the numpy version was helpful. Thanks @wjjc1017!.
Closing this issue.

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