Result for 04C7DC1FCF5071CF02606C7774B0835F25922441

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Parent (19)

Query result

Key Value
FileNamesnap-hashlookup-import/lib/python3.9/site-packages/xarray/plot/__init__.py
FileSize329
MD5399F542933A0F2CC913C459A0080309A
SHA-104C7DC1FCF5071CF02606C7774B0835F25922441
SHA-25698C302E72486B2EB4F9A7590E6F6F1F40297D1A9EBEB3E98D9ABE398DBE8D91A
SHA-512A005F86EC8FD66AA9FA3041CA661BA2B3CA15832DD8853E8B275C199AB107DF8413704EF8885DBB1AB957B7CE0E4091E19371F1647DBF58E81DFE4C6A579BCBA
SSDEEP6:1LBKnxL1DvTJxiVnbBJR/JUOHICPRv0ARpQxZdsQxTBOAJvFmV/0aq8TXCrqq:1sxLJbJx+phpBROfhLTmV/0hs+
TLSHT19AE0CD3DC506AE0602E3D061204706029B29E4238F22335D7B44427C9FCC94FB83322F
insert-timestamp1703903975.2296014
mimetypetext/x-python
sourcesnap:S3VpJTklG9hO6cKHP7KfqdPS5dhSsdYt_12
hashlookup:parent-total19
hashlookup:trust100

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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
MD500F59C6F8E25DEDC40EDA26832FD012D
PackageArchnoarch
PackageDescriptionxarray (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.
PackageNamepython39-xarray
PackageRelease62.3
PackageVersion0.20.2
SHA-110524F42BA9FAD413740115C7FA54F511BFC86DB
SHA-2564D9A0BA1CDEC9AD2C47680559042396E72200E4708C5CA3556ED944FB92CB260
Key Value
MD53653B265A16C5BFE4472E8102AFCDA3A
PackageArchnoarch
PackageDescriptionxarray (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.
PackageNamepython39-xarray
PackageRelease62.3
PackageVersion0.20.2
SHA-112226945AD995DBEB347FB056005976ADCDC22AF
SHA-256F883E4127E9101ABFBFB57AC28DB760C5133C9358A92B11832BC68CB4C3B529C
Key Value
MD5AFF53BF356D7E3A892D934CD7CFD5E5C
PackageArchnoarch
PackageDescriptionxarray (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.
PackageMaintainerhttps://bugs.opensuse.org
PackageNamepython38-xarray
PackageRelease1.2
PackageVersion0.20.2
SHA-114314FAFEEC9FA9A0E1C1E0057B213B1A5624820
SHA-2561E78AC3AD75DE4F39B095F02C40D9A920ABD9732820B5A75B050FFC4F4C25C27
Key Value
MD5F2EB140E19B21314F0C094DE3C7A3B3D
PackageArchnoarch
PackageDescriptionxarray (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.
PackageNamepython38-xarray
PackageRelease62.4
PackageVersion0.20.2
SHA-1170512AF433513A8A7E57A48A47B466F5602A69E
SHA-256FFAB663D01DB06D9FDB760D0DB5B61E7E95D626117E20D25270AC5C061B27345
Key Value
MD526B54B91E716A92D5165813525D12EF5
PackageArchnoarch
PackageDescriptionxarray (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.
PackageNamepython38-xarray
PackageRelease2.1
PackageVersion0.18.2
SHA-1329C26E58C403640FF9215ACB63B16A173DB5EB0
SHA-256938E79C844FD694EF6958A52B9B9844648D6B7F0EC5E2DB3BDF090DF2BED25B0
Key Value
SHA-14E210792964F511AF8E78E8EED1E2C0AA4D2FC5A
snap-authoritycanonical
snap-filenameS3VpJTklG9hO6cKHP7KfqdPS5dhSsdYt_12.snap
snap-idS3VpJTklG9hO6cKHP7KfqdPS5dhSsdYt_12
snap-nameeasyreflectometry
snap-publisher-idEBuCYGsiQIvFiHKmkCnXARl4rw7TzbOd
snap-signkeyBWDEoaqyr25nF5SNCvEv2v7QnM9QsfCc0PBMYD_i2NGSQ32EF2d4D0hqUel3m8ul
snap-timestamp2023-01-23T14:04:40.642941Z
source-urlhttps://api.snapcraft.io/api/v1/snaps/download/S3VpJTklG9hO6cKHP7KfqdPS5dhSsdYt_12.snap
Key Value
MD5E831DC677E9C895946E2D0C607A4B0BA
PackageArchnoarch
PackageDescriptionxarray (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.
PackageMaintainerhttps://bugs.opensuse.org
PackageNamepython310-xarray
PackageRelease1.2
PackageVersion0.20.2
SHA-1660300DEF827F9304BB8259694F44C016C95622D
SHA-256EF32EC5882F59CDA54302DEB508905BC4D7809DEFCE392C5463B61B255EE3E01
Key Value
MD5AB299D37E93B10161922E48B771D6B2E
PackageArchnoarch
PackageDescriptionxarray (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.
PackageNamepython310-xarray
PackageRelease62.5
PackageVersion0.20.2
SHA-17991F22E108B03C72E429EFBF7E3A32BEFD8B576
SHA-2561B6B07ABCCF4622538F27F6619D780D17890E42270B81B5C476FAAA3F8AD4FCF
Key Value
MD5B589A12260715DB14593B31FDA207DFA
PackageArchnoarch
PackageDescriptionxarray (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.
PackageNamepython39-xarray
PackageRelease2.1
PackageVersion0.18.2
SHA-180B0EF8A6B59A56362A75A9BAFD0344F934910E9
SHA-2564E3FEF26BACC664FD34C2D26E24EA5B9FF8C695E638D9A29BEB2BDFE1B81BE32
Key Value
FileSize547148
MD51C4AEA42900C41F4474D502903483169
PackageDescriptionN-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
PackageMaintainerDebian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNamepython3-xarray
PackageSectionpython
PackageVersion0.19.0-6
SHA-1824E4C919F09BCF36AEDC4792CCB1637D9E8A4D9
SHA-256C917C61F3E3A34F4BAF3B9D323D6813AB3F6366C59F0C64DAA5AEB991AE8579C





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