Result for 062185E72578716983BEF4B78C6D9268F769BFF1

Query result

Key Value
FileName./usr/share/doc/python3-seaborn/changelog.Debian.gz
FileSize2012
MD57FC38C8D4BAEAC23579D6C6A3788BDA7
SHA-1062185E72578716983BEF4B78C6D9268F769BFF1
SHA-256E1FA04E033224C425FCAAFD2989DAD1AB978C9F2E664F694AC028D1CC33E0FA5
SSDEEP24:XVT782j3/IxdD97cC5OEeGndBiIoz3mgpbRfo8KDmp0PJzr5Hbm3osx6sga8pFTT:XN7Y5pcVE1ndgIoxlfo28q4HBpLYVS
TLSHT162410A30714D7227A0A29A5915D98919369E92E1EEB3C9F72CBD567C53067CF008270A
hashlookup:parent-total1
hashlookup:trust55

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Parents (Total: 1)

The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize211812
MD53738EE62CE452D232D656409A3C5E7E1
PackageDescriptionstatistical visualization library for Python3 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
PackageVersion0.11.2-1
SHA-19ED5D363ACBAE5927E2326EBF70F3F6674475BCC
SHA-256E1F44F06D2F520418F0BA697938D6D7E5BDBFDB38E479B22723DCF7589E241D2