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- Replace cm.get_cmap with plt.get_cmap for matplotlib 3.9 compatibility - Read version via regex in setup.py to fix installation bug, add pyproject.toml - Rename Vector directory to vector to fix import error in method
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问题
（1）在 matplotlib >= 3.9 环境下，调用
meb.def_cmap_clevs(...)（内部调用cm.get_cmap）会报错AttributeError: module 'matplotlib.cm' has no attribute 'get_cmap'，因为matplotlib.cm.get_cmap在 matplotlib 3.9 中已被移除，涉及 4 个文件共 19 处；（2）另外
pip install -e .会失败：setup.py 第 11 行version = __import__(name).__version__在构建时导入 meteva 包本身，触发meteva/__init__.py→from . import method→from . import vector的循环导入；（3）排查中还发现目录大小写问题，method下目录名
Vector与代码from . import vector不一致会报错。修改内容
（1）4 个文件共 19 处
cm.get_cmap替换为plt.get_cmap（matplotlib >= 3.0 均可用，兼容旧版本）；（2）setup.py 改用正则从
meteva/__init__.py读取__version__，避免构建时导入包本身，添加pyproject.toml声明构建系统；（3）method下文件夹Vector改为vector。
测试
matplotlib 3.9 环境下原先报错的绘图流程运行正常；
pip install -e .可正常完成。