Key | Value |
---|---|
FileName | snap-hashlookup-import/lib/python3.9/site-packages/xarray/backends/scipy_.py |
FileSize | 9386 |
MD5 | 22E09B79932CB058DCEBD1F1958498E0 |
SHA-1 | 01C5339A0AA797A4C25E125AA1D78114E1194B3C |
SHA-256 | B1A823221FD2654479B990A3236061C5F70759B5565AAAC5627BBD2A52CFA548 |
SHA-512 | 798678C772DB1A24FCA0C50DB5C1795449A73FD95B905F882C2841991EB2E0356AE7FC5CA75E8986BB1B9DE18131CF1BCE80F15746483EDC3CA942D1E5030CCD |
SSDEEP | 192:yCKk2Mh8LPLgaiIGCEAZljoBaMfGBjyR4:h2MhygafoIMfUjY4 |
TLSH | T18C12940A5B2571959F83C45C5CEFD087A71DB98B1A08343838EC93991F69A28E1F0FEC |
insert-timestamp | 1703903976.0482407 |
mimetype | text/x-python |
source | snap:S3VpJTklG9hO6cKHP7KfqdPS5dhSsdYt_12 |
hashlookup:parent-total | 17 |
hashlookup:trust | 100 |
The searched file hash is included in 17 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 |
---|---|
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 |
---|---|
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 |
Key | Value |
---|---|
MD5 | EC14C6FA9AD1908DE6A86BBC50012D52 |
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 | 62.3 |
PackageVersion | 0.20.2 |
SHA-1 | 9658FB4B8CFDFD60C074CDBD5856319889B83685 |
SHA-256 | 45471A4F0E33AF1B9004FF4A8D4FE1C03DDDF13A2EEC99E532ED5C5257CD4DBD |
Key | Value |
---|---|
MD5 | 06E2DFE22999FBC95570C22D7BB1FDDF |
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 | 62.4 |
PackageVersion | 0.20.2 |
SHA-1 | A6A141419C640C27F34615324FD1B2F5BF111075 |
SHA-256 | 68F6B3B851BB44C6F62926C629DA4FD437A39DC1C9BF3907307137AEF565F463 |