commonslibrary | The Campaigns Library

by developersociety Python Version: Current License: BSD-3-Clause

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kandi X-RAY | commonslibrary Summary

commonslibrary is a Python library. commonslibrary has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However commonslibrary build file is not available. You can download it from GitHub.

The Campaigns Library

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commonslibrary has a low active ecosystem.

It has 5 star(s) with 1 fork(s). There are 8 watchers for this library.

It had no major release in the last 6 months.

commonslibrary has no issues reported. There are 1 open pull requests and 0 closed requests.

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commonslibrary has no bugs reported.

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

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commonslibrary is licensed under the BSD-3-Clause License. This license is Permissive.

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

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

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Installation instructions, examples and code snippets are available.

Top functions reviewed by kandi - BETA

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

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Return the javascript for the browser
Return the URL for the browser
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Install nvm packages
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Called when a comment is reported
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Collect static files
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Adds the keyword arguments to the form

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Community Discussions

Trending Discussions on commonslibrary

Python - creating a matrix of normal distribution columns where each row sums to 1

QUESTION

Python - creating a matrix of normal distribution columns where each row sums to 1

Asked 2021-May-12 at 06:41

I am working with some election data using pandas. I would like to know how votes from party A would transfer to parties B and C in each of the 650 seats if party A did not exist.

We assume that we know that nationally:

to_B: 48% transfer to party B
to_C: 32% would transfer to party C
to_dnv: 20% would not vote

I am looking to generate a normal distribution of numbers between 0 and 1 for each seat, where:

The sum of each row sums to 1
The average of column to_B is 0.48
The average of column to_C is 0.32
The average of column to_dnvis 0.2

As an example with completely separate numbers:

seat to_B to_C to_dnv 1 0.5 0.3 0.2 2 0.1 0.6 0.3 3 0.3 0.3 0.4 ... ... ... ... 650 etc etc etc

Here in this manual example:

All rows sum to 1
The average of to_B is 0.3, which we would have defined before generation.
The average of to_C is 0.4, which we would have defined before generation.
The average of to_dnv is 0.3, which we would have defined before generation.

The motivation is such that later I zip together this table with another separate table I have already built which contains the election results of each seat. Then I will use these normally distributed numbers to redistribute party A's votes into party B, C and DNV.

What is the best way to go about generating such a matrix? Preferably in Pandas.

Code so far:

...

ANSWER

Answered 2021-May-12 at 06:41

Edit

The answer above by Henry Ecker is definitely the better solution here. Leaving this one up in case anyone finds it useful.

Original solution

Alright so I have something that seems to work, but probably isn't mathematically sound.

The idea is to generate two normally distributed random variable lists for a and b, and fill it up to 1 for c.

Source https://stackoverflow.com/questions/67494650

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

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Install commonslibrary

It’s recommended you use `virtualenvwrapper <https://virtualenvwrapper.readthedocs.io/en/latest/>`_ and `The Developer Society Dev Tools <https://github.com/developersociety/tools>`_.
code:: console $ dev-clone commonslibrary $ workon commonslibrary $ make reset
code:: console $ python manage.py runserver

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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