Parents (Total: 9)

The searched file hash is included in 9 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	DD66560D358F63F60316D28F2575FC72
PackageArch	noarch
PackageDescription	xarray (formerly xray) is a python-pandas-like and pandas-compatible toolkit for analytics on multi-dimensional arrays. It provides N-dimensional variants of the python-pandas labeled data structures, rather than the tabular data that pandas uses. The Common Data Model for self-describing scientific data is used. The dataset is an in-memory representation of a netCDF file.
PackageName	python3-xarray
PackageRelease	lp153.2.2
PackageVersion	0.17.0
SHA-1	A68C5229DBC20642FA9CAC7A889C70313E4F2BF2
SHA-256	52BA76A47C813E29346A5C67A2F752224D88EBEE9EF01A919312C72F6E2E5E21

Key	Value
MD5	B6150F9EBBA9D15D2E900DF057C00A98
PackageArch	noarch
PackageDescription	xarray (formerly xray) is a python-pandas-like and pandas-compatible toolkit for analytics on multi-dimensional arrays. It provides N-dimensional variants of the python-pandas labeled data structures, rather than the tabular data that pandas uses. The Common Data Model for self-describing scientific data is used. The dataset is an in-memory representation of a netCDF file.
PackageName	python3-xarray
PackageRelease	2.2
PackageVersion	0.17.0
SHA-1	073B3164B77637D5C2A0D16E5D878F87C3D1A6E4
SHA-256	12D458C1D3D1F0CCB5E42A2AFC4727C4DFD34126EF10C913ED1A6D0325838E16

Key	Value
MD5	4B696F8233ED269276ABBFA0DD0C4703
PackageArch	noarch
PackageDescription	xarray (formerly xray) is a python-pandas-like and pandas-compatible toolkit for analytics on multi-dimensional arrays. It provides N-dimensional variants of the python-pandas labeled data structures, rather than the tabular data that pandas uses. The Common Data Model for self-describing scientific data is used. The dataset is an in-memory representation of a netCDF file.
PackageName	python3-xarray
PackageRelease	2.2
PackageVersion	0.17.0
SHA-1	62C6F9C8A3D60BD3B49A1CF292CBF5397A577E2B
SHA-256	0780ED1F694FBD94F79129CAE347CDB93342271C6831BA9DAA56B50E5C0D42F8

Key	Value
MD5	AE70195798152DFA6C77106BC58758C7
PackageArch	noarch
PackageDescription	xarray (formerly xray) is a python-pandas-like and pandas-compatible toolkit for analytics on multi-dimensional arrays. It provides N-dimensional variants of the python-pandas labeled data structures, rather than the tabular data that pandas uses. The Common Data Model for self-describing scientific data is used. The dataset is an in-memory representation of a netCDF file.
PackageName	python3-xarray
PackageRelease	2.2
PackageVersion	0.17.0
SHA-1	E2FD7812362D215F00774E9BC566EC4175132BEC
SHA-256	673819282A8821A7D626E183189154F957C5A65EFEAB10669B8A671F45820D55

Key	Value
MD5	533C9879FF519E3572A4A30D49ECB676
PackageArch	noarch
PackageDescription	xarray (formerly xray) is a python-pandas-like and pandas-compatible toolkit for analytics on multi-dimensional arrays. It provides N-dimensional variants of the python-pandas labeled data structures, rather than the tabular data that pandas uses. The Common Data Model for self-describing scientific data is used. The dataset is an in-memory representation of a netCDF file.
PackageName	python3-xarray
PackageRelease	2.2
PackageVersion	0.17.0
SHA-1	116FC00FF71ECBB2C523FE71AE39D864E59740E0
SHA-256	2688405F0E52D6617B200A54EE4C3EF6AEC21C69D1AF37D89FAD45FF32797416

Key	Value
MD5	22DC66200E721ECB8A63ED0F54A1AAAB
PackageArch	noarch
PackageDescription	xarray (formerly xray) is a python-pandas-like and pandas-compatible toolkit for analytics on multi-dimensional arrays. It provides N-dimensional variants of the python-pandas labeled data structures, rather than the tabular data that pandas uses. The Common Data Model for self-describing scientific data is used. The dataset is an in-memory representation of a netCDF file.
PackageName	python3-xarray
PackageRelease	lp152.2.2
PackageVersion	0.17.0
SHA-1	77944CE9954880375A9ED08D456AE301A607092C
SHA-256	E075E28B5FB0FD155B78D5ED7367E31A0472C8025432BFA73ED3375186971EB9

Key	Value
MD5	D96107ED10E9FA051B6F22C852FF5FEF
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.fc34
PackageVersion	0.17.0
SHA-1	21F00B9C11FE48CDFAF56940E8B1C165E5A04CC7
SHA-256	F012CDBC21B445DF218451281316B64FCB894587D1A54D9E264894DDFBF8FD28

Key	Value
MD5	6A80A55FB540A626C750DBFBE6D79B68
PackageArch	noarch
PackageDescription	xarray (formerly xray) is a python-pandas-like and pandas-compatible toolkit for analytics on multi-dimensional arrays. It provides N-dimensional variants of the python-pandas labeled data structures, rather than the tabular data that pandas uses. The Common Data Model for self-describing scientific data is used. The dataset is an in-memory representation of a netCDF file.
PackageName	python3-xarray
PackageRelease	lp152.2.2
PackageVersion	0.17.0
SHA-1	9575ECCA599202D84928222AD3B328A8DF1AD4A6
SHA-256	F758FD4D32DC9D654ADC885091282C719D3A1EFD342990EA1779FD37B92ED52E

Key	Value
FileName	http://archlinux.mirror.root.lu//pool//community//python-xarray-0.17.0-1-any.pkg.tar.zst
MD5	E3B3F4ACF60040C9CE51BF04D79408C6
SHA-1	9E6929E8C0F063D2BB72F4C08EBAF1CF8BEAB776
SHA-256	45B99722D345477D406BE6632D4886251F214A6C365FC242B11462EBC3C24BE8
SSDEEP	12288:wngtbNJWwke3rrXPDu3MokWiOZbOqVG1fvxaHSSFogioISFFwrEUHDv:iUbNJxke7DPsk7tqYpf5MFFwgUHD
TLSH	T171D423673885EB866E05370D46E718B63E216E1750CE703B29D368CB8B93F856B02FC5