Parents (Total: 19)

The searched file hash is included in 19 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	00F59C6F8E25DEDC40EDA26832FD012D
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	python39-xarray
PackageRelease	62.3
PackageVersion	0.20.2
SHA-1	10524F42BA9FAD413740115C7FA54F511BFC86DB
SHA-256	4D9A0BA1CDEC9AD2C47680559042396E72200E4708C5CA3556ED944FB92CB260

Key	Value
MD5	3653B265A16C5BFE4472E8102AFCDA3A
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	python39-xarray
PackageRelease	62.3
PackageVersion	0.20.2
SHA-1	12226945AD995DBEB347FB056005976ADCDC22AF
SHA-256	F883E4127E9101ABFBFB57AC28DB760C5133C9358A92B11832BC68CB4C3B529C

Key	Value
MD5	AFF53BF356D7E3A892D934CD7CFD5E5C
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.
PackageMaintainer	https://bugs.opensuse.org
PackageName	python38-xarray
PackageRelease	1.2
PackageVersion	0.20.2
SHA-1	14314FAFEEC9FA9A0E1C1E0057B213B1A5624820
SHA-256	1E78AC3AD75DE4F39B095F02C40D9A920ABD9732820B5A75B050FFC4F4C25C27

Key	Value
MD5	F2EB140E19B21314F0C094DE3C7A3B3D
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	python38-xarray
PackageRelease	62.4
PackageVersion	0.20.2
SHA-1	170512AF433513A8A7E57A48A47B466F5602A69E
SHA-256	FFAB663D01DB06D9FDB760D0DB5B61E7E95D626117E20D25270AC5C061B27345

Key	Value
MD5	26B54B91E716A92D5165813525D12EF5
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	python38-xarray
PackageRelease	2.1
PackageVersion	0.18.2
SHA-1	329C26E58C403640FF9215ACB63B16A173DB5EB0
SHA-256	938E79C844FD694EF6958A52B9B9844648D6B7F0EC5E2DB3BDF090DF2BED25B0

Key	Value
SHA-1	4E210792964F511AF8E78E8EED1E2C0AA4D2FC5A
snap-authority	canonical
snap-filename	S3VpJTklG9hO6cKHP7KfqdPS5dhSsdYt_12.snap
snap-id	S3VpJTklG9hO6cKHP7KfqdPS5dhSsdYt_12
snap-name	easyreflectometry
snap-publisher-id	EBuCYGsiQIvFiHKmkCnXARl4rw7TzbOd
snap-signkey	BWDEoaqyr25nF5SNCvEv2v7QnM9QsfCc0PBMYD_i2NGSQ32EF2d4D0hqUel3m8ul
snap-timestamp	2023-01-23T14:04:40.642941Z
source-url	https://api.snapcraft.io/api/v1/snaps/download/S3VpJTklG9hO6cKHP7KfqdPS5dhSsdYt_12.snap

Key	Value
MD5	E831DC677E9C895946E2D0C607A4B0BA
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.
PackageMaintainer	https://bugs.opensuse.org
PackageName	python310-xarray
PackageRelease	1.2
PackageVersion	0.20.2
SHA-1	660300DEF827F9304BB8259694F44C016C95622D
SHA-256	EF32EC5882F59CDA54302DEB508905BC4D7809DEFCE392C5463B61B255EE3E01

Key	Value
MD5	AB299D37E93B10161922E48B771D6B2E
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	python310-xarray
PackageRelease	62.5
PackageVersion	0.20.2
SHA-1	7991F22E108B03C72E429EFBF7E3A32BEFD8B576
SHA-256	1B6B07ABCCF4622538F27F6619D780D17890E42270B81B5C476FAAA3F8AD4FCF

Key	Value
MD5	B589A12260715DB14593B31FDA207DFA
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	python39-xarray
PackageRelease	2.1
PackageVersion	0.18.2
SHA-1	80B0EF8A6B59A56362A75A9BAFD0344F934910E9
SHA-256	4E3FEF26BACC664FD34C2D26E24EA5B9FF8C695E638D9A29BEB2BDFE1B81BE32

Key	Value
FileSize	547148
MD5	1C4AEA42900C41F4474D502903483169
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	Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageName	python3-xarray
PackageSection	python
PackageVersion	0.19.0-6
SHA-1	824E4C919F09BCF36AEDC4792CCB1637D9E8A4D9
SHA-256	C917C61F3E3A34F4BAF3B9D323D6813AB3F6366C59F0C64DAA5AEB991AE8579C