一个强大的N维数组对象
sophisticated (broadcasting) functions
tools for integrating C/C++ and Fortran code
有用的线性代数、傅立叶转换和随机数生成函数
NumPy v1.14.1 已发布,这是针对 1.14.0 版本报告的一些 bug 的修补版本。主要解决如下问题:
Problems with the new array printing, particularly the printing of complex values, Please report any additional problems that may turn up.
Problems with np.einsum due to the new optimized=True default. Some fixes for optimization have been applied and optimize=False is now the default.
The sort order in np.unique when axis=
The change in 1.14.0 that multi-field indexing of structured arrays returns a view instead of a copy has been reverted but remains on track for NumPy 1.15. Affected users should read the 1.14.1 Numpy User Guide section "basics/structured arrays/accessing multiple fields" for advice on how to manage this transition.
另外,需注意的是,本版本支持的 Python 版本是 2.7 以及 3.4 - 3.6 。在2019 年 1 月 1 日之后发布的新功能将只支持 Python 3。
软件详情:http://gitee.com/mirrors/NumPy
下载地址:https://github.com/numpy/numpy/releases/download/v1.14.1/numpy-1.14.1.tar.gz
来自:开源中国社区