P3R | PhreeqC coupled code for optimization | Machine Learning library

by FHe Python Version: Current License: Non-SPDX

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

kandi X-RAY | P3R Summary

P3R is a Python library typically used in Artificial Intelligence, Machine Learning, Numpy applications. P3R has no bugs, it has no vulnerabilities and it has low support. However P3R build file is not available and it has a Non-SPDX License. You can download it from GitHub.

P3R stands for: Python PhreeqC Parameter Refinement. It's a Python-PhreeqC coupled code for optimization and statistical analysis of chemical parameters. Author is Frank Heberling. Any contributions / ideas / suggestions are welcome. So if you want to join in developing, just leave me a note. The GUI and the optimization routine are largely adapted from the sxrd modul in the TDL project on although P3R contains some stunning new features ;-). The chemical equilibrium (and other) calculations fully rely on PhreeqC (Correspondingly, "chemical parameters" above means any type of value, which can be input into a PhreeqC calculation. Visualization, parameter variations, optimization and statistical analyses are performed by Phyton code. PhreeqC is implemented in P3R through PhreeqPy (

Support

Quality

Security

License

Reuse

Support

P3R has a low active ecosystem.

It has 7 star(s) with 1 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

P3R has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of P3R is current.

Quality

P3R has 0 bugs and 0 code smells.

Security

P3R has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

P3R code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

P3R has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

P3R releases are not available. You will need to build from source code and install.

P3R has no build file. You will be need to create the build yourself to build the component from source.

It has 1382 lines of code, 84 functions and 4 files.

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

Top functions reviewed by kandi - BETA

kandi has reviewed P3R and discovered the below as its top functions. This is intended to give you an instant insight into P3R implemented functionality, and help decide if they suit your requirements.

Setup simplex
Check if a point is within a given parameter
Calculate reflection
Calculate the FFT of a list of functions
Compute the compression
Function for contraction
Exponential expansion
Calculate the average of a list of points
Computes the min and maxima of a function
Insert a point into the given point
Fits the Levenberg - MA model

Get all kandi verified functions for this library.

P3R Key Features

No Key Features are available at this moment for P3R.

P3R Examples and Code Snippets

No Code Snippets are available at this moment for P3R.

Community Discussions

Trending Discussions on P3R

R: update rownames in data.frame using conversion table

QUESTION

R: update rownames in data.frame using conversion table

Asked 2019-Sep-02 at 06:00

I have a data.frame of the following form:

...

ANSWER

Answered 2019-Sep-02 at 06:00

You can make the rowname a column, split the root "Pn" and letter "[:alpha:]" and then rename them as follows,

Source https://stackoverflow.com/questions/57751296

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

Vulnerabilities

No vulnerabilities reported

Install P3R

You can download it from GitHub.
You can use P3R 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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