mtpy | Python toolbox for standard Magnetotelluric

by MTgeophysics Python Version: 1.1.5 License: GPL-3.0

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

kandi X-RAY | mtpy Summary

mtpy is a Python library typically used in Data Science applications. mtpy 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 mtpy' or download it from GitHub, PyPI.

Python toolbox for standard Magnetotelluric (MT) data analysis

Support

Quality

Security

License

Reuse

Support

mtpy has a low active ecosystem.

It has 124 star(s) with 57 fork(s). There are 28 watchers for this library.

It had no major release in the last 12 months.

There are 54 open issues and 81 have been closed. On average issues are closed in 59 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of mtpy is 1.1.5

Quality

mtpy has no bugs reported.

Security

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

License

mtpy 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

mtpy releases are available to install and integrate.

Deployable package is available in PyPI.

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

Top functions reviewed by kandi - BETA

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

plot to colormap
Setup the UI .
Generate a script file for processing .
Plot 2D responses .
Writes the script file for processing .
r Generate a white strike angle plot .
Generate a heatmap plot
Reads the EI file
Reads txt files from a list of txt files
Write Eidos data to dirpath .

Get all kandi verified functions for this library.

mtpy Key Features

No Key Features are available at this moment for mtpy.

mtpy Examples and Code Snippets

No Code Snippets are available at this moment for mtpy.

Community Discussions

Trending Discussions on mtpy

Using a single dummy argument for arrays of different shapes

QUESTION

Using a single dummy argument for arrays of different shapes

Asked 2018-Jun-07 at 22:10

Let's say we have several different contiguous arrays

...

ANSWER

Answered 2018-Jun-07 at 14:18

Because I'm also not sure whether reshape() makes a temporary array even for contiguous cases, I've tried printing the address of the original and passed arrays by c_loc(). Then, even for small 1-dimensional arrays, reshape() in both gfortran-8 and ifort-16 seems to create temporaries (because the address of the first element is different). So, it seems safer to assume that temporaries are created even for simple cases (for more info, please see comments by francescalus below.)

Source https://stackoverflow.com/questions/50738667

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

Vulnerabilities

No vulnerabilities reported

Install mtpy

You can install using 'pip install mtpy' or download it from GitHub, PyPI.
You can use mtpy 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 .

Find more information at: