Result for 51214FAF14EC548051858D824059118E80E9115E

Query result

Key Value
FileName./usr/lib/python3/dist-packages/seaborn/palettes.py
FileSize33508
MD5B4026D3BF65294293FD33A36ABA320CD
SHA-151214FAF14EC548051858D824059118E80E9115E
SHA-2569B6A7F11529DF57E89F4B3CF338DEFFF2EBAE79553C64C230BDEA5A88F42600F
SSDEEP768:0TZwdL9eUimNJOLjkS8ZbMoJHZQjohODl4:0TZoemuIFZAoJHZQj3+
TLSHT1D4E23E26EF5447174783CAEE00DFC8C1D338A52B550A57AD3D6C826C1F4E9A9CCBA68D
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
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