eyediagram | Tools for plotting an eye diagram in Python | Data Visualization library

by WarrenWeckesser Python Version: v0.1.0 License: BSD-2-Clause

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

kandi X-RAY | eyediagram Summary

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

eyediagram is a python library for generating eye diagrams (also known as eye patterns [This is prototype-quality software. The documentation is thin, and the API may change. To build the package, cython and numpy must be installed. To use the package, numpy and scipy must be installed. Plots are generated with either matplotlib (or bokeh (so usually either one of those must be installed. However, the core function eyediagram.core.grid_count generates a numpy array that can be displayed or saved as an image using any other plotting or image-handling software, so it is not a strict requirement that matplotlib or bokeh be installed. See the example pyqtgraph_demo.py below for an example that uses pyqtgraph (to display the eye diagram. Another example, chaco_demo.py in the demo directory of the source code, uses chaco (to plot the eye diagram.

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eyediagram has a low active ecosystem.

It has 36 star(s) with 16 fork(s). There are 5 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 5 have been closed. On average issues are closed in 1341 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of eyediagram is v0.1.0

Quality

eyediagram has 0 bugs and 0 code smells.

Security

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

eyediagram code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

eyediagram 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

eyediagram 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.

eyediagram saves you 117 person hours of effort in developing the same functionality from scratch.

It has 296 lines of code, 9 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 eyediagram and discovered the below as its top functions. This is intended to give you an instant insight into eyediagram implemented functionality, and help decide if they suit your requirements.

Calculates the counts of a grid
Generate an eediagram
Generate a uniform grid of counts
Generate example data
Colorize an image
Returns the version number of the Eediagram
Return the default plot component
Create the plot component of the eye diagram
Generate sample data

Get all kandi verified functions for this library.

eyediagram Key Features

No Key Features are available at this moment for eyediagram.

eyediagram Examples and Code Snippets

No Code Snippets are available at this moment for eyediagram.

Community Discussions

Trending Discussions on eyediagram

How can I draw an "eye diagram"-like plot in pandas?

QUESTION

How can I draw an "eye diagram"-like plot in pandas?

Asked 2020-May-03 at 14:04

I have a bunch of similar curves, for example 1000 sine waves with slightly varying amplitude, frequency and phases, they look like as in this plot:

In the above plot the color of each sine wave is from the standard pandas colormap; I would like to get a plot where the color is related to the "density" of the curves.

My first idea is to imitate an old oscilloscope screen (search for "persistence mode" or look at https://en.wikipedia.org/wiki/Eye_pattern for some background):

and so I set one color for all the curves:

but the plot is "flat" and the "density" information is not so good.

I would really like a plot like this one:

In the above plot the yellow colour means that a number of curves between 25 and 30 "pass" through the same point (or the same pixel). I hand-made the above plot and I am asking whether it can be done better and more directly with pandas or matplotlib.

Above figures are made with this program, it takes a while (a dozen or seconds) because the Bresenham's line algorithm is not optimized.

...

ANSWER

Answered 2020-May-03 at 14:04

Matplotlib's hist2d calculated the binning quite efficiently. The parameter bins can set the number of bins in both x and y directions.

Drawing the curves with a thin line and combining them using a small alpha value is another approach.

Source https://stackoverflow.com/questions/61574246

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

Vulnerabilities

No vulnerabilities reported

Install eyediagram

You can download it from GitHub.
You can use eyediagram 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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