Result for 2AFD415EB3CE05D8D263987E7B6CF4038D046654

Query result

Key Value
FileName./usr/lib/python3.9/site-packages/seaborn/utils.py
FileSize19568
MD511A4B3F65A08585BC64DA2EFA82B3406
SHA-12AFD415EB3CE05D8D263987E7B6CF4038D046654
SHA-2568ED39D5C75C05EC00566C7EF766917F0E762851AD513D869F45929EB548A7ED4
SSDEEP384:7cgoDayq35KJcQLxRZ9YB/pZ6A8ksotINLVT:lkL4xcAvsotgT
TLSHT1E792B61FFF0A1E67C793D56D59C5D402E728A823A90125B8BCCC82592F05939E2FDA9C
hashlookup:parent-total2
hashlookup:trust60

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Parents (Total: 2)

The searched file hash is included in 2 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD5B0F143536823B94109DD57ECF6344525
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
PackageRelease5.fc33.1
PackageVersion0.10.1
SHA-1F0DD7C0FCCE9F81BFC03158432D934A5F5196C8B
SHA-2561B0F92EFDDD3D886C24C4DA11AEE9EBC1359AD3A52649FD6CB29CDA8015879BC
Key Value
FileSize154828
MD536D7783A1EEC7154B7EAD0676A839CE7
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.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython3-seaborn
PackageSectionpython
PackageVersion0.10.1-2
SHA-1D6B1F5DFCA7A7E0812DC8AA3661AC95407487096
SHA-2562332A0A5917D00A79EBBE99329F5934B2A7E661CC2070CC49B6B1CDD85E13BEC