Parents (Total: 2)

The searched file hash is included in 2 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
FileSize	433516
MD5	A1272C03E393991C51147281153D0D7A
PackageDescription	N-D labeled arrays and datasets in Python 3 xarray (formerly xray) is an open source project and Python package that aims to bring the labeled data power of pandas to the physical sciences, by providing N-dimensional variants of the core pandas data structures. . It provides a pandas-like and pandas-compatible toolkit for analytics on multi-dimensional arrays, rather than the tabular data for which pandas excels. . This package provides the Python 3 library
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python3-xarray
PackageSection	python
PackageVersion	0.15.0-3ubuntu1
SHA-1	B62118B095C98A9068F4BBFD371FD7787B4E2B24
SHA-256	CB51DC276C34F96C2FF5E123B8237D6B51D8ADD2155665E73CF7E0F8EDB4346D

Key	Value
MD5	D68FF1A377928F17C9DA6B0FB037A2A0
PackageArch	noarch
PackageDescription	Xarray (formerly xray) is an open source project and Python package that makes working with labelled multi-dimensional arrays simple, efficient, and fun! Xarray introduces labels in the form of dimensions, coordinates and attributes on top of raw NumPy-like arrays, which allows for a more intuitive, more concise, and less error-prone developer experience. The package includes a large and growing library of domain-agnostic functions for advanced analytics and visualization with these data structures. Xarray was inspired by and borrows heavily from pandas, the popular data analysis package focused on labelled tabular data. It is particularly tailored to working with netCDF files, which were the source of xarray's data model, and integrates tightly with dask for parallel computing.
PackageMaintainer	Fedora Project
PackageName	python3-xarray
PackageRelease	1.fc32
PackageVersion	0.15.1
SHA-1	8028092FB3FB86551114838ED07B6FCE80628EFA
SHA-256	10C0C632BCDB558AE8954C8969691C6F294F8E26E02F0AF93F6EDB6D2ABB74A6