Result for 184D6EECE91AE5DE24B87DBA1CBDDB39892CC768

Query result

Key Value
FileName./usr/lib/python3/dist-packages/xarray/tests/test_print_versions.py
FileSize156
MD59B1A10954A76F9271362B227A1AABF38
SHA-1184D6EECE91AE5DE24B87DBA1CBDDB39892CC768
SHA-256FC981F8B808A97013FB31FC6FE3E03CCB893AECA705B3281B2785EB10E748413
SSDEEP3:JSnvMykwUhAyLkfDi52XKCs2MvH6KKULAu/RYS5aJu:qvb0Ayo+5wKv2u7cueS59
TLSHT16BC08C86AC186838918A0379C0B8A801FB34CC4B0F0917A0E96E6A224F508A6062692C
hashlookup:parent-total27
hashlookup:trust100

Network graph view

Parents (Total: 27)

The searched file hash is included in 27 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD5B6150F9EBBA9D15D2E900DF057C00A98
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.
PackageNamepython3-xarray
PackageRelease2.2
PackageVersion0.17.0
SHA-1073B3164B77637D5C2A0D16E5D878F87C3D1A6E4
SHA-25612D458C1D3D1F0CCB5E42A2AFC4727C4DFD34126EF10C913ED1A6D0325838E16
Key Value
MD5533C9879FF519E3572A4A30D49ECB676
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.
PackageNamepython3-xarray
PackageRelease2.2
PackageVersion0.17.0
SHA-1116FC00FF71ECBB2C523FE71AE39D864E59740E0
SHA-2562688405F0E52D6617B200A54EE4C3EF6AEC21C69D1AF37D89FAD45FF32797416
Key Value
MD5D96107ED10E9FA051B6F22C852FF5FEF
PackageArchnoarch
PackageDescriptionXarray (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.
PackageMaintainerFedora Project
PackageNamepython3-xarray
PackageRelease1.fc34
PackageVersion0.17.0
SHA-121F00B9C11FE48CDFAF56940E8B1C165E5A04CC7
SHA-256F012CDBC21B445DF218451281316B64FCB894587D1A54D9E264894DDFBF8FD28
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
MD5C99BB5398D9A33D028108FD41A8797CA
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.
PackageNamepython3-xarray
PackageRelease3.6
PackageVersion0.16.2
SHA-133716481558B3BF4F75D1BE1CE49F83FD9556A3A
SHA-2566FE5CF9C45EAEE4F6C36AF5F0F5A275F9563ECDC0A51244EDB34DFDA3389FD08
Key Value
MD5233FCCC24D55E8F9E924897D591E46EF
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
PackageNamepython3-xarray
PackageReleasebp155.2.11
PackageVersion0.13.0
SHA-13BE368A81E979325A0A50129B7ECF199792E745E
SHA-256810F921FB3D5C43E9AE7BB928DCD1DC750847B0E053D25E09C232607766E8893
Key Value
MD5604395DDDFE74D7B8686B995AE664507
PackageArchnoarch
PackageDescriptionXarray (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.
PackageMaintainerFedora Project
PackageNamepython3-xarray
PackageRelease1.fc33
PackageVersion0.16.1
SHA-145DFB3D025A03D0F07BAA0B0B2BD1732F9161B72
SHA-2566F5C919419803326689417C03B49F01015DD59640A97EE58F793D87961055AC1
Key Value
FileSize483864
MD5D2957F7306600D8C7CCFCF337ED35BDF
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
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython3-xarray
PackageSectionpython
PackageVersion0.16.2-2
SHA-1591EF16D7332C34E1EB54A08389EC10740FCA162
SHA-2561301178B3D3A972B2180111721858FC7D96CBD43FB1B96FE032FCBC525FC3559
Key Value
MD54B696F8233ED269276ABBFA0DD0C4703
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.
PackageNamepython3-xarray
PackageRelease2.2
PackageVersion0.17.0
SHA-162C6F9C8A3D60BD3B49A1CF292CBF5397A577E2B
SHA-2560780ED1F694FBD94F79129CAE347CDB93342271C6831BA9DAA56B50E5C0D42F8
Key Value
FileSize465336
MD59F3B45C04DA158EBD442E15837FA703A
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
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython3-xarray
PackageSectionpython
PackageVersion0.16.0-1
SHA-16B4458A2E1FD4479DA04EFB25F70D74957547D94
SHA-2567F29E35AADE8942449898D61A4A33627B4BCD312F4DF8709191B5B9187F70438