bugh | Make read-only local backups of your Github repositories | Continuous Deployment library

by haldean Python Version: 1.1.1 License: GPL-3.0

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | bugh Summary

bugh is a Python library typically used in Devops, Continuous Deployment, Docker applications. bugh has no bugs, it has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has low support. You can install using 'pip install bugh' or download it from GitHub, PyPI.

Make read-only local backups of your Github repositories

Support

Quality

Security

License

Reuse

Support

bugh has a low active ecosystem.

It has 23 star(s) with 3 fork(s). There are 3 watchers for this library.

It had no major release in the last 12 months.

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

It has a neutral sentiment in the developer community.

The latest version of bugh is 1.1.1

Quality

bugh has 0 bugs and 0 code smells.

Security

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

bugh code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

bugh is licensed under the GPL-3.0 License. This license is Strong Copyleft.

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

Reuse

bugh 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.

bugh saves you 3 person hours of effort in developing the same functionality from scratch.

It has 11 lines of code, 0 functions and 1 files.

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

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bugh Key Features

No Key Features are available at this moment for bugh.

bugh Examples and Code Snippets

No Code Snippets are available at this moment for bugh.

Community Discussions

Trending Discussions on bugh

Perform count function on columns and append string result to columns

Count Nan per variable and represent in percentage

QUESTION

Perform count function on columns and append string result to columns

Asked 2020-Mar-11 at 11:56

Hello guys I would like to count rows in a dataset and append total counts to column names . Here is how my dataset looks like

...

ANSWER

Answered 2020-Mar-11 at 11:56

Select all columns without first 2 by DataFrame.iloc and DataFrame.count, then create dictionary with joined values and pass to rename:

Source https://stackoverflow.com/questions/60631912

QUESTION

Count Nan per variable and represent in percentage

Asked 2020-Mar-10 at 17:26

I am new to python but I havent found a solution to this challenge. I have data with different variable per hospital. Now I do want to count total amount of missing data per variable and represent it per hospital in percentages.Here is how the dataframe looks like:

...

ANSWER

Answered 2020-Mar-10 at 17:26

With some modification on output, this should work:

Source https://stackoverflow.com/questions/60622760

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

Vulnerabilities

No vulnerabilities reported

Install bugh

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