mapclassify 2.8.1-3 source package in Ubuntu

Changelog

mapclassify (2.8.1-3) unstable; urgency=medium

  * debian/control: Removed <!nocheck> to fix s390x architecture tests

 -- Josenilson Ferreira da Silva <email address hidden>  Sat, 19 Oct 2024 19:27:07 -0300

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Uploaded by:
Debian Science Team
Uploaded to:
Sid
Original maintainer:
Debian Science Team
Architectures:
all
Section:
misc
Urgency:
Medium Urgency

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Series Pocket Published Component Section
Questing release universe misc
Plucky release universe misc

Builds

Plucky: [FULLYBUILT] amd64

Downloads

File Size SHA-256 Checksum
mapclassify_2.8.1-3.dsc 2.8 KiB 6d347971fa559a7bc64acbe2459e273c4510e611e4dc431ebcbe6beeb34ca91f
mapclassify_2.8.1.orig.tar.gz 4.4 MiB dea58fa66b72eef7060ba3ac4079ca6e1cc59b7438383770cff30d061d97d5fc
mapclassify_2.8.1-3.debian.tar.xz 181.4 KiB cec4897d105d93a867d94f40d5e6ef5bbcc3ff63b90049b85324655832a1e071

Available diffs

No changes file available.

Binary packages built by this source

python-mapclassify-doc: Classification Schemes for Choropleth Maps (common documentation)

 Library that provides tools for classifying geographic data on maps.
 It allows you to divide a spatial dataset into different classes or
 ranges, making it easier to visualize and analyze this data on maps.
 .
 This library is especially useful for grouping and categorizing geographic
 information, helping to identify patterns and trends in data.
 .
 It supports multiple classification methods such as Jenks Natural Breaks,
 Equal Interval and Quantile, among others, allowing users to choose the
 best approach for their specific analysis. Additionally, the library is
 integrated with other popular geographic data analysis tools, making it
 easy to incorporate their functionality into existing workflows.
 .
 This package contains HTML documentation, incorporates instructions on how
 to install and configure and use this module with mapclassify.

python3-mapclassify: Classification Schemes for Choropleth Maps

 Library that provides tools for classifying geographic data on maps.
 It allows you to divide a spatial dataset into different classes or
 ranges, making it easier to visualize and analyze this data on maps.
 .
 This library is especially useful for grouping and categorizing geographic
 information, helping to identify patterns and trends in data.
 .
 It supports multiple classification methods such as Jenks Natural Breaks,
 Equal Interval and Quantile, among others, allowing users to choose the
 best approach for their specific analysis. Additionally, the library is
 integrated with other popular geographic data analysis tools, making it
 easy to incorporate their functionality into existing workflows.
 .
 This package provides the Python 3.x module