ggpy | ggplot port for python | Data Visualization library

by yhat Python Version: Current License: BSD-2-Clause

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

kandi X-RAY | ggpy Summary

ggpy is a Python library typically used in Analytics, Data Visualization applications. ggpy has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can download it from GitHub.

ggplot is a Python implementation of the grammar of graphics. It is not intended to be a feature-for-feature port of ggplot2 for R--though there is much greatness in ggplot2, the Python world could stand to benefit from it. So there will be feature overlap, but not neccessarily mimicry (after all, R is a little weird).

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Quality

Security

License

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Support

ggpy has a medium active ecosystem.

It has 3613 star(s) with 583 fork(s). There are 137 watchers for this library.

It had no major release in the last 6 months.

There are 173 open issues and 291 have been closed. On average issues are closed in 141 days. There are 30 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of ggpy is current.

Quality

ggpy has 0 bugs and 0 code smells.

Security

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

ggpy code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

ggpy is licensed under the BSD-2-Clause License. This license is Permissive.

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

Reuse

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

Build file is available. You can build the component from source.

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

ggpy saves you 2440 person hours of effort in developing the same functionality from scratch.

It has 5314 lines of code, 241 functions and 113 files.

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

Top functions reviewed by kandi - BETA

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

Blends a color palette
Create a palette from a list of colors
Plot the plot
Plot histogram
Plot the model
Plot violinplot
Plot data
Plot the curve
Plot geomap
Plot the data
Plot a histogram
Extract the version number

Get all kandi verified functions for this library.

ggpy Key Features

No Key Features are available at this moment for ggpy.

ggpy Examples and Code Snippets

No Code Snippets are available at this moment for ggpy.

Community Discussions

Trending Discussions on ggpy

Comparing Plumbr to other options for making a chart with R in a Python script

QUESTION

Comparing Plumbr to other options for making a chart with R in a Python script

Asked 2020-May-11 at 20:08

I plan on making a chart with ggplot in a python script. These are details about the project:

I have a script that runs on a remote machine and I can install anything within reason on the machine
The script runs in python and has data that I want to visualize stored as a dictionary
The script runs daily and the data always has the same structure

I think my best bet is to do this...

Write an R script that takes the data and creates the ggplot visualization
Use plumbr to create a rest API for my script
Send a call to the rest API and get a PNG of my plot in return

I'm also familiar with ggpy by yhat and I'm even wondering if I can install R on the machine and just send code directly to the machine to process it without having RStudio.

Would plumbr be a recommended and secure implementation?

This is a reproducible example-

...

ANSWER

Answered 2020-May-07 at 18:18

As mentioned in the comments, most of your question should be answered here: Using R in Python with Rpy2: how to ggplot2?.

You can load ggplot with:

Source https://stackoverflow.com/questions/61568874

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

Vulnerabilities

No vulnerabilities reported

Install ggpy

You can download it from GitHub.
You can use ggpy 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.