pyalluvial | This is a python package to draw an alluvial plot

by nekoumei Python Version: 0.0.0 License: MIT

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

kandi X-RAY | pyalluvial Summary

pyalluvial is a Python library. pyalluvial has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install pyalluvial' or download it from GitHub, PyPI.

This is a python package to draw an alluvial plot. This package is influenced by ggalluvial.

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Quality

Security

License

Reuse

Support

pyalluvial has a low active ecosystem.

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

It had no major release in the last 12 months.

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

It has a neutral sentiment in the developer community.

The latest version of pyalluvial is 0.0.0

Quality

pyalluvial has 0 bugs and 0 code smells.

Security

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

pyalluvial code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

pyalluvial is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

pyalluvial 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 are not available. Examples and code snippets are available.

It has 122 lines of code, 5 functions and 2 files.

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

Top functions reviewed by kandi - BETA

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

Plot a pandas dataframe
Plot alluvium data
Calculate sigmoid line
Sigmoid function
Return list of requirements from file

Get all kandi verified functions for this library.

pyalluvial Key Features

No Key Features are available at this moment for pyalluvial.

pyalluvial Examples and Code Snippets

No Code Snippets are available at this moment for pyalluvial.

Community Discussions

Trending Discussions on pyalluvial

stacked chart combine with alluvial plot - python

QUESTION

stacked chart combine with alluvial plot - python

Asked 2021-Aug-05 at 13:54

Surprisingly little info out there regarding python and the pyalluvial package. I'm hoping to combine stacked bars and a corresponding alluvial in the same figure.

Using below, I have three unique groups, which is outlined in Group. I want to display the proportion of each Group for each unique Point. I have the data formatted this way as I need three separate stacked bar charts for each Point.

So overall (Ove) highlight the overall proportion taken from all three Points. Group 1 makes up 70%, Group 2 makes up 20%, Group 3 makes up 10%. But the proportion of each group changes at different intervals Points. I'm hoping to show this like a standard stacked bar chart, but add the alluvial over the top.

...

ANSWER

Answered 2021-Aug-05 at 13:54

As correctly pointed out by @darthbaba, pyalluvial expects the dataframe format to consist of frequencies matching different variable-type combinations. To give you an example of a valid input, each Point in each Group has been labelled as present (1) or absent (0):

Source https://stackoverflow.com/questions/68584767

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

Vulnerabilities

No vulnerabilities reported

Install pyalluvial

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