Result for 7202E2ACF3A63A819C73DC6E0C3EFB4B997288D6

Query result

Key Value
FileName./usr/lib/python3.9/site-packages/seaborn-0.10.1-py3.9.egg-info/PKG-INFO
FileSize2256
MD58675DC06DAD688074D50C2D09BAAC4D5
SHA-17202E2ACF3A63A819C73DC6E0C3EFB4B997288D6
SHA-2562FA7DD88FD84514ECB36B20EBEE8F9A72D62278D5860D576773BFA21A6594A84
SSDEEP48:DYqRfG3KbaY5DJYMfTC57y8Ghv0rle5/DuBwqMCT4iLiPIXdQIhQI4QIk4:DzRfG3KpVYMfu57yTuTbmPIXdQIhQI4t
TLSHT15241840972D4AED83BD398D0C68C8489E732D5426B6D299C70FD811DAB01BB4927C71C
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