pyEarth | lightweight 3D visualization of the earth in 150 lines | Map library

by afourmy Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | pyEarth Summary

pyEarth is a Python library typically used in Geo, Map applications. pyEarth has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitLab, GitHub.

pyEarth is a lightweight 3D visualization of the Earth implemented with pyQt and OpenGL: it is the 3D counterpart of pyGISS.

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Quality

Security

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Support

pyEarth has a low active ecosystem.

It has 83 star(s) with 23 fork(s). There are 9 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 1 have been closed. On average issues are closed in 2 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of pyEarth is current.

Quality

pyEarth has 0 bugs and 0 code smells.

Security

pyEarth has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

pyEarth code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

pyEarth is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

pyEarth releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

Installation instructions are not available. Examples and code snippets are available.

It has 383 lines of code, 36 functions and 2 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed pyEarth and discovered the below as its top functions. This is intended to give you an instant insight into pyEarth implemented functionality, and help decide if they suit your requirements.

Create polygons
Translates a polygon polygon
Generates all polygons in the shapefile
Extract polygons from the shapefile
Convert from LLF to ECEF coordinates
Import project files
Generate objects

Get all kandi verified functions for this library.

pyEarth Key Features

No Key Features are available at this moment for pyEarth.

pyEarth Examples and Code Snippets

No Code Snippets are available at this moment for pyEarth.

Community Discussions

Trending Discussions on pyEarth

Import `pyearth` in Google Colab (`from pyearth import Earth` error)

QUESTION

Import `pyearth` in Google Colab (`from pyearth import Earth` error)

Asked 2021-Apr-29 at 14:17

I need to load the Multivariate Adaptive Regression Splines (MARS) algorithm from a library called pyearth on Google Colab. This is what I want to do:

...

ANSWER

Answered 2021-Apr-29 at 14:14

As it turns out pyearth is a library for earth science. In other words, pyearth has nothing to do with Multivariate Adaptive Regression Splines (MARS).

The library that has the MARS algorithm is sklearn-contrib-py-earth. This is how you can import it on Google Colab:

Source https://stackoverflow.com/questions/67284069

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install pyEarth

You can download it from GitLab, GitHub.
You can use pyEarth like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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