Key | Value |
---|---|
CRC32 | BEFF1792 |
FileName | snap-hashlookup-import/lib/python2.7/site-packages/pandas/io/tests/data/legacy_pickle/0.13.0/0.13.0_x86_64_linux_2.7.8.pickle |
FileSize | 7639 |
MD5 | 1F20BE1B16E20A4BA520F2D43DBEF5E3 |
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 | 03D5EFEC7C6C93DE341DF3D4024F51EDB4851A9D |
SHA-256 | 0B3F447B7AFEFD895AD79E0BD3B340A265E49DABEB56A031485AE73978BEEF65 |
SHA-512 | 0A3A0665491C0AAA985BED7270C9EABD70788B9CA41482B0F4C60B03B23C8B1FB80A33CA9B231B26C85CFAC9CB9A084818FEEAEC9F21CC9FEE81F4662219223E |
SSDEEP | 96:MMxf7hkEayQMq2g39FBA0F/S6qBYM/tFLvl9SKEp5+TkGtUR2Ya7ZTr2JN5W04v:MGFkEkBAYS2MVFh9ZO+IIAa9ONf4v |
SpecialCode | |
TLSH | T1DFF1FC96A77C2D0AD0206DB7B8BB04B772B37575590F8103D960E2617AE71809E69F3C |
db | nsrl_modern_rds |
insert-timestamp | 1728986591.6729057 |
mimetype | application/octet-stream |
source | snap:KA2ytIzKeCnQbwAWbaeXnTc2zd5KaQI3_10 |
hashlookup:parent-total | 51 |
hashlookup:trust | 100 |
The searched file hash is included in 51 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 |
---|---|
MD5 | 653E2D6211B5FA0DD7B8A54DBB2DCC54 |
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 | 1.fc21 |
PackageVersion | 0.15.0 |
SHA-1 | 0CE93BB018BC79875279AB4A3569B7628190F226 |
SHA-256 | FD56B05FEDFBDE3D05C657774F4FE2ABF528F99C56BAB2161F7A25A636D9BC84 |
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 | 2B22EBC28B752A65E0FA5FED54711779 |
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 | python-pandas |
PackageRelease | 1.fc21 |
PackageVersion | 0.15.0 |
SHA-1 | 3BC07CCF0C1AE2B66B7F96076396E7A86EDF974E |
SHA-256 | 239ADF5F1D23E5C6339300DF196AF4249BC49B07349AA632B666C300EE61541C |