Comments (5)
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.
from pandas-ai.
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
from pandas-ai.
This is not resolving the issue
from pandas-ai.
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.
from pandas-ai.
Downgrading the numpy version was helpful. Thanks @wjjc1017!.
Closing this issue.
from pandas-ai.
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