2 Repos
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.
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Awesome Labeled Array Management GitHub Repositories
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- pydata/xarray
pydata/xarray
4,159Auf GitHub ansehenXarray is a Python multidimensional array library and labeled dataset framework. It extends the NumPy data structure by adding labels to arrays, allowing for the organization of complex N-dimensional data using named dimensions and coordinates. The library provides a NetCDF data interface for reading and writing scientific data formats such as NetCDF and Zarr. It enables scientific array computing by maintaining the relationship between data and physical coordinates during mathematical operations. The project covers multidimensional data analysis, geospatial data manipulation, and climate da
Provides a framework for organizing multidimensional datasets using named dimensions and coordinates to avoid integer indexing.
Python - xtensor-stack/xtensor
xtensor-stack/xtensor
3,748Auf GitHub ansehenxtensor 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
