nmc_met_base | basic functional functions

by nmcdev Python Version: Current License: GPL-3.0

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

kandi X-RAY | nmc_met_base Summary

nmc_met_base is a Python library. nmc_met_base 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 install using 'pip install nmc_met_base' or download it from GitHub, PyPI.

Provides some basic functional functions related to meteorological application development, including modules such as array processing, mathematical functions, physical constants, time processing, and objective analysis.

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Quality

Security

License

Reuse

Support

nmc_met_base has a low active ecosystem.

It has 40 star(s) with 19 fork(s). There are 5 watchers for this library.

It had no major release in the last 6 months.

There are 4 open issues and 0 have been closed. On average issues are closed in 171 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of nmc_met_base is current.

Quality

nmc_met_base has 0 bugs and 0 code smells.

Security

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

nmc_met_base code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

nmc_met_base 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

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

Deployable package is available in PyPI.

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

Installation instructions, examples and code snippets are available.

nmc_met_base saves you 1418 person hours of effort in developing the same functionality from scratch.

It has 3171 lines of code, 184 functions and 22 files.

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

Top functions reviewed by kandi - BETA

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

Track cyclonetracks of cyclonetracks
Add latitude to a point
Add event to the main dataframe
Add long to a long
R Finds the location of a point on the press
Calculates the number of extreme values in an array
Evaluate multiple centers
Compute the haversine
Invert a StalMunk
Invert the Poisson transform
Calculate grid area
Implementation of the sine equation
Construct a grid smoothed filter
R Generate a biharmonic spline
Inverse of geostream
Generate a random SOM
InvertillMatsun
Calculate barnes
Calculate the spherical harmonic basis function
Compares two tracks
Pluck points from a dataset
R Calculates the temperature of a given temperature
R Generate radial basis functions
Find the precipitation rasters for the given precipitation
Convert a ctuple to a list of tracks
Transform a temperature vector using anisentropic transformation

Get all kandi verified functions for this library.

nmc_met_base Key Features

No Key Features are available at this moment for nmc_met_base.

nmc_met_base Examples and Code Snippets

No Code Snippets are available at this moment for nmc_met_base.

Community Discussions

No Community Discussions are available at this moment for nmc_met_base.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install nmc_met_base

Using the fellowing command to install packages:.
使用pypi安装源安装(https://pypi.org/project/nmc-met-base/)
若要安装Github上的开发版(请先安装Git软件):
或者下载软件包进行安装:

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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