Key | Value |
---|---|
CRC32 | 326F1FEA |
FileName | snap-hashlookup-import/lib/python2.7/site-packages/pandas/tseries/tests/data/dateoffset_0_15_2.pickle |
FileSize | 1176 |
MD5 | C6BE3E96E253903E4E155F49B27CF231 |
OpSystemCode | {'MfgCode': '1006', 'OpSystemCode': '362', 'OpSystemName': 'TBD', 'OpSystemVersion': 'none'} |
ProductCode | {'ApplicationType': 'Server', 'Language': 'Multilanguage', 'MfgCode': '924', 'OpSystemCode': '599', 'ProductCode': '183707', 'ProductName': 'SUSE OpenStack Cloud x86_64 - 2 of 3', 'ProductVersion': '7'} |
RDS:package_id | 184818 |
SHA-1 | 038AEA5BC3B928B10C03D1C5D6B9AB5C4BCEEE42 |
SHA-256 | C6357C01DBBB35AA218C24C8F0C47BF05181AFB0848699E19FA79480BE62F07E |
SHA-512 | 485A307F70D7204655AD391DE5075B25E09A23D5F331B0B4928B79456B3610FF9916347682CBD414656F0010D60BA4396A61B6AB6C1FA64E64710054BBBF2705 |
SSDEEP | 24:wIdtOAiHIFIwx5E+dSNutsYt32dlPDJjkZtvPDJPth+fSs7/GXhxAcjMkIGv6VXV:wCvie1x3d+gj3WltoPvtVVXjMkhEMMd |
SpecialCode | |
TLSH | T12521C0048D66246345FC9B1D75F932941A7C2A555E25DDFC82AD01CC0C7F2DFA61B09D |
db | nsrl_modern_rds |
insert-timestamp | 1728986592.088527 |
mimetype | text/plain |
source | snap:KA2ytIzKeCnQbwAWbaeXnTc2zd5KaQI3_10 |
hashlookup:parent-total | 41 |
hashlookup:trust | 100 |
The searched file hash is included in 41 parent files which include package known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileSize | 2763744 |
MD5 | 28831EB80B14D3DD1C0ED62AB8B7ED33 |
PackageDescription | data structures for "relational" or "labeled" data pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with "relational" or "labeled" data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world data analysis in Python. pandas is well suited for many different kinds of data: . - Tabular data with heterogeneously-typed columns, as in an SQL table or Excel spreadsheet - Ordered and unordered (not necessarily fixed-frequency) time series data. - Arbitrary matrix data (homogeneously typed or heterogeneous) with row and column labels - Any other form of observational / statistical data sets. The data actually need not be labeled at all to be placed into a pandas data structure . This package contains the Python 2 version. |
PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | python-pandas |
PackageSection | python |
PackageVersion | 0.22.0-4 |
SHA-1 | 070746205EE88382CAAEB9C921A7252AE134FB25 |
SHA-256 | CAA099B08A65116197A137D398AFA2237CF02875CD5B366E5C8F23E745027F21 |
Key | Value |
---|---|
SHA-1 | 1046ED54E8C4475141A1B323ACA55E890B685190 |
snap-authority | canonical |
snap-filename | KA2ytIzKeCnQbwAWbaeXnTc2zd5KaQI3_10.snap |
snap-id | KA2ytIzKeCnQbwAWbaeXnTc2zd5KaQI3_10 |
snap-name | ecpoint-pycal |
snap-publisher-id | hfqUpWoZ5j9RBGpaThNej9i2nxyPCD3N |
snap-signkey | BWDEoaqyr25nF5SNCvEv2v7QnM9QsfCc0PBMYD_i2NGSQ32EF2d4D0hqUel3m8ul |
snap-timestamp | 2018-09-09T18:41:23.535763Z |
source-url | https://api.snapcraft.io/api/v1/snaps/download/KA2ytIzKeCnQbwAWbaeXnTc2zd5KaQI3_10.snap |
Key | Value |
---|---|
MD5 | 04CD69FA41CF3C39083E4652537CD912 |
PackageArch | s390x |
PackageDescription | pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language. |
PackageMaintainer | Fedora Project |
PackageName | python-pandas |
PackageRelease | 1.fc22 |
PackageVersion | 0.16.0 |
SHA-1 | 10F045AC947EF936A30727972263170155C5704B |
SHA-256 | 6745534E6362CCC626F6C35A566F71492BBB5D5C54AB70DA6E26741C280C88AD |
Key | Value |
---|---|
MD5 | DEFB74E1A66540239CB3E80028E71AE7 |
PackageArch | aarch64 |
PackageDescription | pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language. |
PackageMaintainer | Fedora Project |
PackageName | python3-pandas |
PackageRelease | 1.fc22 |
PackageVersion | 0.16.0 |
SHA-1 | 16B9BB9D6E25D56EFB7AB3A33D8782883F03B74E |
SHA-256 | 7472D3BBECE229F1C67ECA7D86DF737D77BB7EE39996573BC27D1EF1B9C6E0AD |
Key | Value |
---|---|
CRC32 | 5D92ED0A |
FileName | 45945 |
FileSize | 2386160 |
MD5 | DBAE8694A436FD25585760EF7F98A8BA |
OpSystemCode | 362 |
PackageDescription | data structures for "relational" or "labeled" data pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with "relational" or "labeled" data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world data analysis in Python. pandas is well suited for many different kinds of data: . - Tabular data with heterogeneously-typed columns, as in an SQL table or Excel spreadsheet - Ordered and unordered (not necessarily fixed-frequency) time series data. - Arbitrary matrix data (homogeneously typed or heterogeneous) with row and column labels - Any other form of observational / statistical data sets. The data actually need not be labeled at all to be placed into a pandas data structure . This package contains the Python 2 version. |
PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | python-pandas |
PackageSection | python |
PackageVersion | 0.17.1-3ubuntu2 |
ProductCode | 184818 |
RDS:package_id | 184818 |
SHA-1 | 1A0F62171AC41863C8F76806B5DAB7CBDB4BE05C |
SHA-256 | 2AE3CC1DCEFA0B98C0974ABF4EAF7CEFF07891713A2CDD4CE8BFE194490708F4 |
SpecialCode | |
db | nsrl_legacy |
insert-timestamp | 1648755867.2993183 |
source | RDS_2022.03.1_legacy.db |
Key | Value |
---|---|
MD5 | 9B6938F7DB7FBB74F7384AEF5142B9AE |
PackageArch | aarch64 |
PackageDescription | pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language. Python 3 version. |
PackageMaintainer | Fedora Project |
PackageName | python3-pandas |
PackageRelease | 3.fc24 |
PackageVersion | 0.18.0 |
SHA-1 | 1A6EB03812D23E2AF77CEB4C5C3043D44CB247B9 |
SHA-256 | 7A620CF0FE0D22356679EECA8F6FC4076C2034C5910EA65EA7798A1C98FB0861 |
Key | Value |
---|---|
MD5 | 0FACF12629D23C0A675359632C3E862F |
PackageArch | ppc64 |
PackageDescription | pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language. Python 2 version. |
PackageMaintainer | Fedora Project |
PackageName | python2-pandas |
PackageRelease | 3.fc24 |
PackageVersion | 0.18.0 |
SHA-1 | 2718772E9E1AE15C82CF105AB4C9902C0BA83033 |
SHA-256 | BB4B64EBFBC628358CE93FDD0523D377E7E89006B78B24F3FF1155901D4F92E3 |
Key | Value |
---|---|
MD5 | C0C3C7D1DDC5446C439B208E6471106D |
PackageArch | ppc64le |
PackageDescription | pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language. |
PackageMaintainer | Fedora Project |
PackageName | python3-pandas |
PackageRelease | 2.fc23 |
PackageVersion | 0.16.2 |
SHA-1 | 2E6C2A70B201FD4858FB350AD2CB075C0E537D2D |
SHA-256 | 1B16E0940C07A79DC08603E9A9E3FBADAE873B7022D99B0B5801412A85C69C5A |
Key | Value |
---|---|
MD5 | 08F73944F60A70B66BA82AC58446AEFD |
PackageArch | ppc64le |
PackageDescription | pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language. |
PackageMaintainer | Fedora Project |
PackageName | python-pandas |
PackageRelease | 2.fc23 |
PackageVersion | 0.16.2 |
SHA-1 | 415C99DE45715B760C055E0EB0DAEAF923B912E6 |
SHA-256 | DC42ACD2565EA1278623725CDD5A908046C26EC99AD9C7D63E8672CC005F3736 |
Key | Value |
---|---|
MD5 | 5E4E503900C32DE98D84BF05B3C24EFC |
PackageArch | ppc64 |
PackageDescription | pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language. |
PackageMaintainer | Fedora Project |
PackageName | python3-pandas |
PackageRelease | 1.fc22 |
PackageVersion | 0.16.0 |
SHA-1 | 43ACFA6028573B7B0CE82125C777D61F4CA6949B |
SHA-256 | DD61A06E6FC4C83E9571F1124F588BADC39F800B7455234FD2A70A1901ACE5A1 |