QuantifiedSelf | Scripts for quantifying stuff from my life | Configuration Management library

by AndiH Python Version: Current License: GPL-2.0

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

kandi X-RAY | QuantifiedSelf Summary

QuantifiedSelf is a Python library typically used in Devops, Configuration Management, Latex applications. QuantifiedSelf has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. However QuantifiedSelf build file is not available. You can download it from GitHub.

Scripts for quantifying stuff from my life

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Quality

Security

License

Reuse

Support

QuantifiedSelf has a low active ecosystem.

It has 20 star(s) with 2 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

There are 5 open issues and 2 have been closed. On average issues are closed in 16 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of QuantifiedSelf is current.

Quality

QuantifiedSelf has 0 bugs and 0 code smells.

Security

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

QuantifiedSelf code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

QuantifiedSelf is licensed under the GPL-2.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

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

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

It has 1099 lines of code, 48 functions and 44 files.

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

Top functions reviewed by kandi - BETA

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

Return the emails of a given day
Convert ISO - 8601 date into a timezone
Saves a matplotlib figure

Get all kandi verified functions for this library.

QuantifiedSelf Key Features

No Key Features are available at this moment for QuantifiedSelf.

QuantifiedSelf Examples and Code Snippets

No Code Snippets are available at this moment for QuantifiedSelf.

Community Discussions

Trending Discussions on QuantifiedSelf

Producing a sleep log visualisation in Python

QUESTION

Producing a sleep log visualisation in Python

Asked 2017-Mar-22 at 09:01

I have a data-set of sleep-time information and would like to produce a visualisation of it using Python.

The .csv data-set I have looks like the this:

SleepStartDate,SleepStartTime,SleepStopTime 17/03/2017,23:45,07:25 19/03/2017,01:05,09:10 19/03/2017,23:50,08:25

The visualisation I want to produce should be similar to the following: Image source: http://quantifiedself.com/wp-content/uploads/2015/08/qs2.png

I know this is a really simple visualisation, and imagine that it's built into some already existing library, but my best Googling efforts have been unable to locate it. I'd much appreciate it if someone could point me in the right direction.

Thanks in advance for your time and wisdom.

...

ANSWER

Answered 2017-Mar-19 at 21:36

The classic Python choice would be to use the matplotlib package. Looking at your sample graph it looks like a vertical bar graph.

Source https://stackoverflow.com/questions/42890925

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

Vulnerabilities

No vulnerabilities reported

Install QuantifiedSelf

You can download it from GitHub.
You can use QuantifiedSelf 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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