Hey there, let's get this NumPy compatibility issue sorted out for you. The error you're seeing pops up because modules like matplotlib were built for NumPy 1.x, which isn't compatible with your current NumPy 2.4.4 installation. Here are two easy-to-execute fixes:

方案1：降级NumPy到1.x版本（最省心的快速解法） #

This is the official recommended fix for end users. Just run this command directly in a Jupyter Notebook cell:

!pip install numpy<2 --upgrade

After running it, restart your Jupyter Notebook kernel (go to the top menu bar → Kernel → Restart), then try importing numpy and matplotlib again—this should resolve the error immediately.

方案2：升级受影响的模块（适配NumPy 2.x） #

If you'd rather stick with NumPy 2.x, try upgrading matplotlib to a version that supports it. Run this in a notebook cell:

!pip install matplotlib --upgrade

Again, restart the kernel after the upgrade finishes, then test your import statements. If you still run into issues, you might need to check other dependent modules for updates, but most major libraries now support NumPy 2.x.

你遇到的错误提示回顾： #

使用NumPy 1.x编译的模块无法在NumPy 2.4.4中运行，否则可能导致崩溃。若要同时支持NumPy 1.x和2.x版本，模块必须使用NumPy 2.0编译。部分模块可能需要重新构建，例如使用'pybind11>=2.12'。如果您是该模块的用户，最简单的解决方案是降级至'numpy<2'版本，或尝试升级受影响的模块。我们预计部分模块需要一定时间才能支持NumPy 2。

内容的提问来源于stack exchange，提问作者pranav_b27