Parents (Total: 8)

The searched file hash is included in 8 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
FileSize	118066
MD5	D0E96D1EA661B234F74F3E859692D9E1
PackageDescription	statistical visualization library 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.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python3-seaborn
PackageSection	python
PackageVersion	0.6.0-1
SHA-1	A05FE5285E571A33079AD03D595890CB3BF7B5E0
SHA-256	BA9F7E24E4C3228AA96BF0201F03BBF16911E79A7149E31CB561ABF424680856

Key	Value
FileSize	117996
MD5	B27A9F3A4B372E7A7F4E14AB14670DA9
PackageDescription	statistical visualization library 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 2 version of the package.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python-seaborn
PackageSection	python
PackageVersion	0.6.0-1
SHA-1	300146FFFC2042FA457997A8BDED85FD9CD1FB30
SHA-256	890B5D26F612A61976834963AF309E3FC9672D3A0858A2A27B0C4B4FF797DB5A

Key	Value
FileSize	128234
MD5	08D39043EEABBBEEDF59D6797A495D6D
PackageDescription	statistical visualization library 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 2 version of the package.
PackageMaintainer	Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageName	python-seaborn
PackageSection	python
PackageVersion	0.7.1-4
SHA-1	69794894E3AE83CABFEEEC8F9110B7E1A74484BD
SHA-256	D24A23C2F5B4B93DA6586A63BB4C7148CBEAA76201670A93BD516EDD0A46EC4E

Key	Value
FileSize	128348
MD5	C56C0DAED54455F32081A7D2AE88798B
PackageDescription	statistical visualization library 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.
PackageMaintainer	Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageName	python3-seaborn
PackageSection	python
PackageVersion	0.7.1-4
SHA-1	C2A4C4A557A93A817290CD64A6B5CD2B17BD654E
SHA-256	2A8A424586909A5C4C00FF964D5FDD0C1A8FA175F9476110636462D7BED0337A

Key	Value
FileSize	141424
MD5	F3733CCDF841D6E9013CEE0A84EE4108
PackageDescription	statistical 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.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python3-seaborn
PackageSection	python
PackageVersion	0.8.0-1
SHA-1	B6091123AA530A1AF729F04D94DD64269B47242B
SHA-256	C6D53E14A93B93E4BA2310B380B90EC075A1BC447A846B524A2F7EBE0A3DFCD7

Key	Value
FileSize	75258
MD5	57B995B560724CD100104BC0CD78B3C1
PackageDescription	statistical visualization library 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.
PackageMaintainer	NeuroDebian Team <team@neuro.debian.net>
PackageName	python3-seaborn
PackageSection	python
PackageVersion	0.4.0-3
SHA-1	1976FCD03BB705F3A80A9CAB64CC86EB4A24BA82
SHA-256	DDF0B82808EB93FC3FD99AABEE1EA809F544F949EE396FE151F73940C3DCEED4

Key	Value
FileSize	75186
MD5	7B6830A3D1439FDD611EDB6ED6EDC14C
PackageDescription	statistical visualization library 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 2 version of the package.
PackageMaintainer	NeuroDebian Team <team@neuro.debian.net>
PackageName	python-seaborn
PackageSection	python
PackageVersion	0.4.0-3
SHA-1	1A57AF2AF6075B1F949D1DE5B558801B2CA9E365
SHA-256	1313126D78A29E06B2DC1B48C275CA25344D76EEDCC0131137D6F4A2667C4BF8

Key	Value
FileSize	141350
MD5	F0A1979AA358F96A373ABC5B08467A03
PackageDescription	statistical visualization library for Python 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 2 version of the package.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python-seaborn
PackageSection	python
PackageVersion	0.8.0-1
SHA-1	AFF67E4D4E060E6400DCEF13E4C19EE0ABB66AA9
SHA-256	9B36BB91EC6A5676945C2E56DCE12630B35E1C1B15E85C6A843D5C34A1AF637B