Result for 389F8B5947598EEF1AA26117B858CE8C25172A33

Query result

Key Value
FileName./usr/lib/python3.9/site-packages/seaborn/tests/test_relational.py
FileSize63348
MD5DCE267AFF8B6D6AB606B4B3D2A2E6936
SHA-1389F8B5947598EEF1AA26117B858CE8C25172A33
SHA-25613C51F05494D868038A546A59FA496F429979B10E812F95EAC8DA7D794709B07
SSDEEP768:IRAJ7rtvMkhX63MBogs5Pl4s8mo+yg4m6nELYOg/GmR5A2IYMA9Yt9ELD+b4K9VP:xJ7rtF3YWaKs6l9RysXk
TLSHT1FE532252D1680D72A3477ABE48FFCA5A9920EF2B110029D079FC42842F5D67CAD63BF5
hashlookup:parent-total2
hashlookup:trust60

Network graph view

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