2 个仓库
Awesome GitHub RepositoriesLabeled Array Management
Management of arrays with associated labels, such as data frames and labeled tensors.
Distinct from Array Manipulations: Existing candidates cover runtime manipulation or general labeling; none specifically target labeled tensor/dataframe structures for numerical computing.
Explore 2 awesome GitHub repositories matching data & databases · Labeled Array Management. Refine with filters or upvote what's useful.
Awesome Labeled Array Management GitHub Repositories
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- pydata/xarray
pydata/xarray
4,159在 GitHub 上查看Xarray 是一个 Python 多维数组库和带标签的数据集框架。它扩展了 NumPy 数据结构，通过为数组添加标签，允许使用命名维度和坐标来组织复杂的 N 维数据。 该库提供了 NetCDF 数据接口，用于读写 NetCDF 和 Zarr 等科学数据格式。它通过在数学运算过程中维护数据与物理坐标之间的关系，实现了科学数组计算。 该项目涵盖了多维数据分析、地理空间数据处理和气候数据处理。它还支持用于管理随时间变化的观测序列的时间序列分析。
Provides a framework for organizing multidimensional datasets using named dimensions and coordinates to avoid integer indexing.
Python - xtensor-stack/xtensor
xtensor-stack/xtensor
3,748在 GitHub 上查看xtensor is a C++ multidimensional array library for numerical computing that provides N-dimensional containers with an interface mirroring the NumPy API. It utilizes a lazy evaluation expression engine to defer numerical computations until assignment, which minimizes memory allocations and intermediate copies. The library features a foreign memory array adaptor that allows it to wrap external buffers, such as NumPy arrays, to perform numerical operations in-place without duplicating data. It further optimizes performance through lazy broadcasting and a system that manages the lifetime of temp
Provides support for data frames and labeled tensors that integrate with lazy broadcasting.
C++c-plus-plus-14multidimensional-arraysnumpy
