qtl | A friendly and lightweight C++ database library for MySQL | Database library

by znone C++ Version: Current License: Apache-2.0

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

kandi X-RAY | qtl Summary

qtl is a C++ library typically used in Database applications. qtl has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

When accessing MySQL, include the header file qtl_mysql.hpp.

Support

Quality

Security

License

Reuse

Support

qtl has a low active ecosystem.

It has 181 star(s) with 61 fork(s). There are 11 watchers for this library.

It had no major release in the last 6 months.

There are 13 open issues and 8 have been closed. On average issues are closed in 355 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of qtl is current.

Quality

qtl has 0 bugs and 0 code smells.

Security

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

qtl code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

qtl is licensed under the Apache-2.0 License. This license is Permissive.

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

Reuse

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

Installation instructions are not available. Examples and code snippets are available.

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qtl Key Features

No Key Features are available at this moment for qtl.

qtl Examples and Code Snippets

No Code Snippets are available at this moment for qtl.

Community Discussions

Trending Discussions on qtl

Add second facet grid or second discrete y-axis label GGPlot2

QUESTION

Add second facet grid or second discrete y-axis label GGPlot2

Asked 2022-Feb-10 at 19:59

Suppose I have this dataframe:

...

ANSWER

Answered 2022-Feb-10 at 19:59

I highly recommend the ggh4x package (github link here), which can handle this issue nicely via nested facets via facet_nested(). Here, you facet according to df2$gene, but indicate the nesting of those facets happens according to df2$qtl.

Here's an example of code that shows you some basic functionality applied to df2. Note I changed some strip background formatting to make the faceting more clear. There's a lot of other options that might work better for you in that package.

Source https://stackoverflow.com/questions/71070730

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

Vulnerabilities

No vulnerabilities reported

Install qtl

You can download it from GitHub.

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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