qmplot | Python package | Data Visualization library

by ShujiaHuang Python Version: 0.3.3 License: MIT

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

kandi X-RAY | qmplot Summary

qmplot is a Python library typically used in Analytics, Data Visualization applications. qmplot 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 qmplot' or download it from GitHub, PyPI.

A Python package for creating high-quality manhattan and Q-Q plots from GWAS results.

Support

Quality

Security

License

Reuse

Support

qmplot has a low active ecosystem.

It has 21 star(s) with 7 fork(s). There are 1 watchers for this library.

It had no major release in the last 12 months.

There are 2 open issues and 0 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of qmplot is 0.3.3

Quality

qmplot has 0 bugs and 31 code smells.

Security

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

qmplot code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

qmplot 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

qmplot 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.

It has 942 lines of code, 34 functions and 11 files.

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

Top functions reviewed by kandi - BETA

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

Plot a manhattan plot
Adjusts a plot of text
Get bounding boxes of objs
Convert a float to two floats
Plot a qq plot
Plot a matplotlib plot
Generate a set of points
Plot qq norm
Parse command line arguments
Check if s is an integer
Check if s is a numeric value
Estimate the number of freeman diaconis bins
Compute the qr of an array

Get all kandi verified functions for this library.

qmplot Key Features

No Key Features are available at this moment for qmplot.

qmplot Examples and Code Snippets

No Code Snippets are available at this moment for qmplot.

Community Discussions

Trending Discussions on qmplot

ggmap qmplot() object '.all_aesthetics' not found

QUESTION

ggmap qmplot() object '.all_aesthetics' not found

Asked 2018-Jul-22 at 12:44

I'm trying to replicate an example from ggmap tutorial. Here's the code:

...

ANSWER

Answered 2018-Jul-22 at 12:44

I found the solution. The issue I was experiencing was a result of a not-up-to-date version of ggmap package. As recommended by camille I decided to update the ggmap package. It turns out that it can't be done with devtools::install_github("dkahle/ggmap") while ggplot2 has been installed from GitHub. As pointed out in this thread I went for downgrading ggplot2 to the version available at CRAN (3.0.0) and had no problems installing ggmap from GitHub.

Source https://stackoverflow.com/questions/51455936

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

Vulnerabilities

No vulnerabilities reported

Install qmplot

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