badlands-companion | Badlands pre & post-processing

by badlands-model Python Version: biodiversity License: GPL-3.0

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

kandi X-RAY | badlands-companion Summary

badlands-companion is a Python library typically used in Internet of Things (IoT) applications. badlands-companion has no bugs, it has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has low support. You can download it from GitHub.

Badlands pre & post-processing

Support

Quality

Security

License

Reuse

Support

badlands-companion has a low active ecosystem.

It has 12 star(s) with 7 fork(s). There are 6 watchers for this library.

It had no major release in the last 12 months.

There are 0 open issues and 1 have been closed. On average issues are closed in 1 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of badlands-companion is biodiversity

Quality

badlands-companion has no bugs reported.

Security

badlands-companion has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

badlands-companion is licensed under the GPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

badlands-companion releases are available to install and integrate.

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

Top functions reviewed by kandi - BETA

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

Generate layers for each step
Create hdf5 file
Loads the stress of a given step
Loads the coordinates of the TIN
View the network graph
Returns a list of color codes
View the main stream
Generate a map of the upper bounding box of the map
Construct a colormap from levels
Round the given values to the nearest point
Extracts a cross section
Calculate cross section
View a cross section
Builds a segment
Compute cross section
Calculates the cross - section parameters
Build a shoreline
Builds the shoreline of the given surface
Calculate the shoreline of a given surface
Calculate ero derodep
Get a subset of the data
Calculate the distances between two points
Compute and return the parameter values
Builds a polynomial
Calculate the vertical slope of the grid
Build a slope

Get all kandi verified functions for this library.

badlands-companion Key Features

No Key Features are available at this moment for badlands-companion.

badlands-companion Examples and Code Snippets

No Code Snippets are available at this moment for badlands-companion.

Community Discussions

Trending Discussions on Internet of Things (IoT)

Display data from two json files in react native

QUESTION

Display data from two json files in react native

Asked 2020-May-17 at 23:55

I have js files Dashboard and Adverts. I managed to get Dashboard to list the information in one json file (advertisers), but when clicking on an advertiser I want it to navigate to a separate page that will display some data (Say title and text) from the second json file (productadverts). I can't get it to work. Below is the code for the Dashboard and next for Adverts. Then the json files

...

ANSWER

Answered 2020-May-17 at 23:55

The new object to get params in React Navigation 5 is:

Source https://stackoverflow.com/questions/61859411

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

Vulnerabilities

No vulnerabilities reported

Install badlands-companion

You can download it from GitHub.
You can use badlands-companion 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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