Result for 466B7732990F6B605DF336CD5C79AD065859CEAF

Query result

Key Value
FileName./usr/lib/python3.5/site-packages/seaborn/tests/test_rcmod.py
FileSize7513
MD59950DD855D7DA7AFF4F392C9A28BC770
SHA-1466B7732990F6B605DF336CD5C79AD065859CEAF
SHA-2565D242328A6D35B3507F5437CA4C8F7A07651B7E882E0E4FD1495DC02292ABADF
SSDEEP96:qxhb884OT/gX12WQebMOsSXg9ZSzicZaZ2cbc/M:qxhCgA+EM
TLSHT1BCF1521A5F238D16F383A43D6587E9226716AB43B648B13A76FCC4B41FCDA2851C237D
hashlookup:parent-total6
hashlookup:trust80

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Parents (Total: 6)

The searched file hash is included in 6 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize128234
MD508D39043EEABBBEEDF59D6797A495D6D
PackageDescriptionstatistical visualization library Seaborn is a library for making attractive and informative statistical graphics in Python. It is built on top of matplotlib and tightly integrated with the PyData stack, including support for numpy and pandas data structures and statistical routines from scipy and statsmodels. . Some of the features that seaborn offers are . - Several built-in themes that improve on the default matplotlib aesthetics - Tools for choosing color palettes to make beautiful plots that reveal patterns in your data - Functions for visualizing univariate and bivariate distributions or for comparing them between subsets of data - Tools that fit and visualize linear regression models for different kinds of independent and dependent variables - A function to plot statistical timeseries data with flexible estimation and representation of uncertainty around the estimate - High-level abstractions for structuring grids of plots that let you easily build complex visualizations . This is the Python 2 version of the package.
PackageMaintainerDebian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNamepython-seaborn
PackageSectionpython
PackageVersion0.7.1-4
SHA-169794894E3AE83CABFEEEC8F9110B7E1A74484BD
SHA-256D24A23C2F5B4B93DA6586A63BB4C7148CBEAA76201670A93BD516EDD0A46EC4E
Key Value
FileSize128348
MD5C56C0DAED54455F32081A7D2AE88798B
PackageDescriptionstatistical visualization library Seaborn is a library for making attractive and informative statistical graphics in Python. It is built on top of matplotlib and tightly integrated with the PyData stack, including support for numpy and pandas data structures and statistical routines from scipy and statsmodels. . Some of the features that seaborn offers are . - Several built-in themes that improve on the default matplotlib aesthetics - Tools for choosing color palettes to make beautiful plots that reveal patterns in your data - Functions for visualizing univariate and bivariate distributions or for comparing them between subsets of data - Tools that fit and visualize linear regression models for different kinds of independent and dependent variables - A function to plot statistical timeseries data with flexible estimation and representation of uncertainty around the estimate - High-level abstractions for structuring grids of plots that let you easily build complex visualizations . This is the Python 3 version of the package.
PackageMaintainerDebian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNamepython3-seaborn
PackageSectionpython
PackageVersion0.7.1-4
SHA-1C2A4C4A557A93A817290CD64A6B5CD2B17BD654E
SHA-2562A8A424586909A5C4C00FF964D5FDD0C1A8FA175F9476110636462D7BED0337A
Key Value
MD5233B19003AAA7B4A563C1A768E1EDA03
PackageArchnoarch
PackageDescriptionSeaborn is a library for making attractive and informative statistical graphics in Python. It is built on top of matplotlib and tightly integrated with the PyData stack, including support for numpy and pandas data structures and statistical routines from scipy and statsmodels.
PackageMaintainerFedora Project
PackageNamepython2-seaborn
PackageRelease1.fc24
PackageVersion0.7.0
SHA-150AC374C9804BD9810D75143A5557F504668D494
SHA-256EB2A616EF9CF1F3E74870642E36C97383A90FC492D9623BC56EFF03C6444CA2B
Key Value
MD5DE0A4AD7A91CFF8C248C2DB002DCF497
PackageArchnoarch
PackageDescriptionSeaborn is a library for making attractive and informative statistical graphics in Python. It is built on top of matplotlib and tightly integrated with the PyData stack, including support for numpy and pandas data structures and statistical routines from scipy and statsmodels.
PackageMaintainerFedora Project
PackageNamepython2-seaborn
PackageRelease1.fc24
PackageVersion0.7.0
SHA-128CB473FCB4921C88EC70B2B211CA9C4580D6190
SHA-25677E2470333C0C7C8629670DDFEC701243EAEACB4D15182846289B743EBFF24E4
Key Value
MD5CBDDD57CEB1A85CCF35BB68B6BC5494E
PackageArchnoarch
PackageDescriptionSeaborn is a library for making attractive and informative statistical graphics in Python. It is built on top of matplotlib and tightly integrated with the PyData stack, including support for numpy and pandas data structures and statistical routines from scipy and statsmodels.
PackageMaintainerFedora Project
PackageNamepython3-seaborn
PackageRelease1.fc24
PackageVersion0.7.0
SHA-1514A5398ABCDC26F1C8EB3404B17937E1D9542A2
SHA-256E9D14FF8436E54E6588CF1CA11572467A166AAFA82C207C8435AB977079DE0CA
Key Value
MD515293D19353207A9EEFC676E1EBAE10C
PackageArchnoarch
PackageDescriptionSeaborn is a library for making attractive and informative statistical graphics in Python. It is built on top of matplotlib and tightly integrated with the PyData stack, including support for numpy and pandas data structures and statistical routines from scipy and statsmodels.
PackageMaintainerFedora Project
PackageNamepython3-seaborn
PackageRelease1.fc24
PackageVersion0.7.0
SHA-19279E414691FCCDB2F4DC31657FD6D4C02DCA6F6
SHA-25646FF2284674ADFDEA4D256D1FE593C41C68B9072CBFADA0C1DFA5B21DF4EFD03