Parents (Total: 13)

The searched file hash is included in 13 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
FileSize	211812
MD5	3738EE62CE452D232D656409A3C5E7E1
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	Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageName	python3-seaborn
PackageSection	python
PackageVersion	0.11.2-1
SHA-1	9ED5D363ACBAE5927E2326EBF70F3F6674475BCC
SHA-256	E1F44F06D2F520418F0BA697938D6D7E5BDBFDB38E479B22723DCF7589E241D2

Key	Value
FileSize	206196
MD5	1111536A43BF26A5E491913FEA21AD8B
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	Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageName	python3-seaborn
PackageSection	python
PackageVersion	0.11.1-1
SHA-1	C55A763C9B479176CF8B1B3DFB79DBCFAA10511B
SHA-256	70C265844756F4F6EF2A4C3D62521D6EC4B445F190023EBAFA730AD547CE0974

Key	Value
SHA-1	7C210D2EBD05DDD137CB8D1AF1E9A9440986D9FD
snap-authority	canonical
snap-filename	wBEQd0pf939OMkQxQzjc5edUUJ7UTdoO_25.snap
snap-id	wBEQd0pf939OMkQxQzjc5edUUJ7UTdoO_25
snap-name	rapunzel
snap-publisher-id	iF39jGin6mL9yavM0mp1QbryMUfExcYE
snap-signkey	BWDEoaqyr25nF5SNCvEv2v7QnM9QsfCc0PBMYD_i2NGSQ32EF2d4D0hqUel3m8ul
snap-timestamp	2021-03-04T12:32:37.365593Z
source-url	https://api.snapcraft.io/api/v1/snaps/download/wBEQd0pf939OMkQxQzjc5edUUJ7UTdoO_25.snap

Key	Value
SHA-1	D46961D40A9A3A467E90F92DD23BF6AFF0BE2308
snap-authority	canonical
snap-filename	wBEQd0pf939OMkQxQzjc5edUUJ7UTdoO_26.snap
snap-id	wBEQd0pf939OMkQxQzjc5edUUJ7UTdoO_26
snap-name	rapunzel
snap-publisher-id	iF39jGin6mL9yavM0mp1QbryMUfExcYE
snap-signkey	BWDEoaqyr25nF5SNCvEv2v7QnM9QsfCc0PBMYD_i2NGSQ32EF2d4D0hqUel3m8ul
snap-timestamp	2021-03-04T12:32:37.365593Z
source-url	https://api.snapcraft.io/api/v1/snaps/download/wBEQd0pf939OMkQxQzjc5edUUJ7UTdoO_26.snap

Key	Value
FileSize	154828
MD5	36D7783A1EEC7154B7EAD0676A839CE7
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	0.10.1-2
SHA-1	D6B1F5DFCA7A7E0812DC8AA3661AC95407487096
SHA-256	2332A0A5917D00A79EBBE99329F5934B2A7E661CC2070CC49B6B1CDD85E13BEC

Key	Value
SHA-1	A2F0CCADB29391CDDDBFFA65BF1144F22351D828
snap-authority	canonical
snap-filename	wBEQd0pf939OMkQxQzjc5edUUJ7UTdoO_28.snap
snap-id	wBEQd0pf939OMkQxQzjc5edUUJ7UTdoO_28
snap-name	rapunzel
snap-publisher-id	iF39jGin6mL9yavM0mp1QbryMUfExcYE
snap-signkey	BWDEoaqyr25nF5SNCvEv2v7QnM9QsfCc0PBMYD_i2NGSQ32EF2d4D0hqUel3m8ul
snap-timestamp	2021-03-04T12:32:37.365593Z
source-url	https://api.snapcraft.io/api/v1/snaps/download/wBEQd0pf939OMkQxQzjc5edUUJ7UTdoO_28.snap

Key	Value
SHA-1	55F70D15AC5B613F6B900923F0422546E11175D2
snap-authority	canonical
snap-filename	wBEQd0pf939OMkQxQzjc5edUUJ7UTdoO_33.snap
snap-id	wBEQd0pf939OMkQxQzjc5edUUJ7UTdoO_33
snap-name	rapunzel
snap-publisher-id	iF39jGin6mL9yavM0mp1QbryMUfExcYE
snap-signkey	BWDEoaqyr25nF5SNCvEv2v7QnM9QsfCc0PBMYD_i2NGSQ32EF2d4D0hqUel3m8ul
snap-timestamp	2021-03-04T12:32:37.365593Z
source-url	https://api.snapcraft.io/api/v1/snaps/download/wBEQd0pf939OMkQxQzjc5edUUJ7UTdoO_33.snap

Key	Value
SHA-1	9EE461270EF3C2EBD8B5ACEEF477CF494E04CA73
snap-authority	canonical
snap-filename	wBEQd0pf939OMkQxQzjc5edUUJ7UTdoO_30.snap
snap-id	wBEQd0pf939OMkQxQzjc5edUUJ7UTdoO_30
snap-name	rapunzel
snap-publisher-id	iF39jGin6mL9yavM0mp1QbryMUfExcYE
snap-signkey	BWDEoaqyr25nF5SNCvEv2v7QnM9QsfCc0PBMYD_i2NGSQ32EF2d4D0hqUel3m8ul
snap-timestamp	2021-03-04T12:32:37.365593Z
source-url	https://api.snapcraft.io/api/v1/snaps/download/wBEQd0pf939OMkQxQzjc5edUUJ7UTdoO_30.snap

Key	Value
FileSize	154988
MD5	17F4A7345C0D3E9A142B3C7AB45FFDB9
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	0.10.0-1
SHA-1	6808AB41598BBD019E346905F03C89283930240F
SHA-256	FD0B8082F74F62A6BC42CD13F03AC2AA3A8491F8C5BB92CAF9D3316F9F2F699F

Key	Value
SHA-1	193D4897A223717A11ACAB916F35D7F7421D95D1
snap-authority	canonical
snap-filename	wBEQd0pf939OMkQxQzjc5edUUJ7UTdoO_22.snap
snap-id	wBEQd0pf939OMkQxQzjc5edUUJ7UTdoO_22
snap-name	rapunzel
snap-publisher-id	iF39jGin6mL9yavM0mp1QbryMUfExcYE
snap-signkey	BWDEoaqyr25nF5SNCvEv2v7QnM9QsfCc0PBMYD_i2NGSQ32EF2d4D0hqUel3m8ul
snap-timestamp	2021-03-04T12:32:37.365593Z
source-url	https://api.snapcraft.io/api/v1/snaps/download/wBEQd0pf939OMkQxQzjc5edUUJ7UTdoO_22.snap

Key	Value
SHA-1	4130FD6CC5A4AE461BE4C8022E2A0045CDDA2867
snap-authority	canonical
snap-filename	wBEQd0pf939OMkQxQzjc5edUUJ7UTdoO_27.snap
snap-id	wBEQd0pf939OMkQxQzjc5edUUJ7UTdoO_27
snap-name	rapunzel
snap-publisher-id	iF39jGin6mL9yavM0mp1QbryMUfExcYE
snap-signkey	BWDEoaqyr25nF5SNCvEv2v7QnM9QsfCc0PBMYD_i2NGSQ32EF2d4D0hqUel3m8ul
snap-timestamp	2021-03-04T12:32:37.365593Z
source-url	https://api.snapcraft.io/api/v1/snaps/download/wBEQd0pf939OMkQxQzjc5edUUJ7UTdoO_27.snap

Key	Value
FileSize	205760
MD5	E1895E1BE0C3319D32D0C131AA9EB6F0
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	0.11.1-1
SHA-1	22A01F183EA134F7F7E9A89D595BF125390F1C1B
SHA-256	FFFC71E019C2B68D90E40C818E6CCEA1BE365A50F1C592C782AACAEE8FA3D7B3

Key	Value
SHA-1	D2146763E4E59F851E40A9BCD819393544EC9B7C
snap-authority	canonical
snap-filename	wBEQd0pf939OMkQxQzjc5edUUJ7UTdoO_29.snap
snap-id	wBEQd0pf939OMkQxQzjc5edUUJ7UTdoO_29
snap-name	rapunzel
snap-publisher-id	iF39jGin6mL9yavM0mp1QbryMUfExcYE
snap-signkey	BWDEoaqyr25nF5SNCvEv2v7QnM9QsfCc0PBMYD_i2NGSQ32EF2d4D0hqUel3m8ul
snap-timestamp	2021-03-04T12:32:37.365593Z
source-url	https://api.snapcraft.io/api/v1/snaps/download/wBEQd0pf939OMkQxQzjc5edUUJ7UTdoO_29.snap