pcaxis | PCAxis .px file format parser

by zejn Python Version: Current License: No License

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

kandi X-RAY | pcaxis Summary

pcaxis is a Python library. pcaxis has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

PCAxis .px file format parser

Support

Quality

Security

License

Reuse

Support

pcaxis has a low active ecosystem.

It has 27 star(s) with 4 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of pcaxis is current.

Quality

pcaxis has 0 bugs and 0 code smells.

Security

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

pcaxis code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

pcaxis does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

pcaxis 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.

pcaxis saves you 106 person hours of effort in developing the same functionality from scratch.

It has 270 lines of code, 7 functions and 3 files.

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

Top functions reviewed by kandi - BETA

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

Parse PX file .
r Parse data from a string
Parse a line of data line .

Get all kandi verified functions for this library.

pcaxis Key Features

No Key Features are available at this moment for pcaxis.

pcaxis Examples and Code Snippets

No Code Snippets are available at this moment for pcaxis.

Community Discussions

Trending Discussions on pcaxis

I'd like to extend a custom function for barplots so that I can stack the bars

QUESTION

I'd like to extend a custom function for barplots so that I can stack the bars

Asked 2019-Jul-31 at 00:28

I'd like to make a three-panel figure with each panel containing grouped barplots . And for the third panel I'd like to make the plot stacked. I've found excellent code here: Simplest way to do grouped barplot. I can get everything except for the stacked plot using the elegant solution at the end of this entry.

I tried many iterations of base R code to get a stacked barplot, but kept running into issues with having a dataframe and not a matrix or vector for the height argument. When I converted to a matrix though I lost the factors in my data. I'll put my working code for the other plots below and indicate where I'd like to add the stacked variable.

Here is a sample of my data

...

ANSWER

Answered 2019-Jul-30 at 23:36

It's hard to provide a good answer without more details and what graph you expect as output. Here is a solution using ggplot2 that might start you off. You can imitate the grouped bar plot by merging the two grouping variables while still stacking by another variable.

Source https://stackoverflow.com/questions/57281006

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

Vulnerabilities

No vulnerabilities reported

Install pcaxis

You can download it from GitHub.
You can use pcaxis 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: