kandi background
Explore Kits

mplcyberpunk | Cyberpunk style '' for matplotlib plots | Data Visualization library

 by   dhaitz Python Version: Current License: MIT

 by   dhaitz Python Version: Current License: MIT

Download this library from

kandi X-RAY | mplcyberpunk Summary

mplcyberpunk is a Python library typically used in Analytics, Data Visualization applications. mplcyberpunk has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can install using 'pip install mplcyberpunk' or download it from GitHub, PyPI.
A Python package on top of matplotlib to create 'cyberpunk' style plots with 3 additional lines of code.
Support
Support
Quality
Quality
Security
Security
License
License
Reuse
Reuse

kandi-support Support

  • mplcyberpunk has a medium active ecosystem.
  • It has 941 star(s) with 33 fork(s). There are 11 watchers for this library.
  • It had no major release in the last 12 months.
  • There are 2 open issues and 5 have been closed. On average issues are closed in 193 days. There are no pull requests.
  • It has a neutral sentiment in the developer community.
  • The latest version of mplcyberpunk is current.
mplcyberpunk Support
Best in #Data Visualization
Average in #Data Visualization
mplcyberpunk Support
Best in #Data Visualization
Average in #Data Visualization

quality kandi Quality

  • mplcyberpunk has 0 bugs and 0 code smells.
mplcyberpunk Quality
Best in #Data Visualization
Average in #Data Visualization
mplcyberpunk Quality
Best in #Data Visualization
Average in #Data Visualization

securitySecurity

  • mplcyberpunk has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
  • mplcyberpunk code analysis shows 0 unresolved vulnerabilities.
  • There are 0 security hotspots that need review.
mplcyberpunk Security
Best in #Data Visualization
Average in #Data Visualization
mplcyberpunk Security
Best in #Data Visualization
Average in #Data Visualization

license License

  • mplcyberpunk is licensed under the MIT License. This license is Permissive.
  • Permissive licenses have the least restrictions, and you can use them in most projects.
mplcyberpunk License
Best in #Data Visualization
Average in #Data Visualization
mplcyberpunk License
Best in #Data Visualization
Average in #Data Visualization

buildReuse

  • mplcyberpunk 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.
  • mplcyberpunk saves you 42 person hours of effort in developing the same functionality from scratch.
  • It has 203 lines of code, 11 functions and 4 files.
  • It has low code complexity. Code complexity directly impacts maintainability of the code.
mplcyberpunk Reuse
Best in #Data Visualization
Average in #Data Visualization
mplcyberpunk Reuse
Best in #Data Visualization
Average in #Data Visualization
Top functions reviewed by kandi - BETA

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

  • Add gradient effects
    • Helper function to add a gradient fill
    • Draw lines of a matplotlib figure
    • Add underglow

Get all kandi verified functions for this library.

Get all kandi verified functions for this library.

mplcyberpunk Key Features

"Cyberpunk style" for matplotlib plots

Community Discussions

Trending Discussions on Data Visualization
  • Connecting All Nodes Together on a Graph
  • R: Connecting Points in Arbitrary Order
  • Fixing Cluttered Titles on Graphs
  • Adding Contour Lines to 3D Plots
  • How can I create a doughnut chart with rounded edges only on one end of each segment?
  • Understanding "list" and "do.call" commands
  • Is it possible to not reorder elements when using d3.join?
  • Is there way in ggplot2 to place text on a curved path?
  • How to add/append customized plot in for loop to Single subplot in Python using Matplotlib?
  • Constructing a hexagonal heat-map with custom colors in each cell
Trending Discussions on Data Visualization

QUESTION

Connecting All Nodes Together on a Graph

Asked 2022-Mar-30 at 20:34

I have the following network graph:

library(tidyverse)
library(igraph)


set.seed(123)
n=5
data = tibble(d = paste(1:n))

relations = data.frame(tibble(
  from = sample(data$d),
  to = lead(from, default=from[1]),
))

graph = graph_from_data_frame(relations, directed=T, vertices = data) 

V(graph)$color <- ifelse(data$d == relations$from[1], "red", "orange")

plot(graph, layout=layout.circle, edge.arrow.size = 0.2)

enter image description here

I want to connect each Node to every Node on this graph - I can do this manually by redefining the "relations" data frame:

relations_1 = data.frame("from" = c(1,1,1,1,2,2,2,2,3,3,3,3,4,4,4,4,5,5,5,5), "to" = c(2,3,4,5,1,3,4,5,1,2,4,5,1,2,3,5,1,2,3,4))

Then, I can re-run the network graph:

graph = graph_from_data_frame(relations_1, directed=T, vertices = data) 

V(graph)$color <- ifelse(data$d == relations_1$from[1], "red", "orange")

plot(graph, layout=layout.circle, edge.arrow.size = 0.2)

enter image description here

  • But would there have been a way to "automatically" connect all the points in the graph directly using the "relations" data frame without manually creating a new data frame "relations_1"? Could a single line (or a few lines) of code have been added that would have automatically taken the "relations" data frame and connected everything together?

Thank you!

ANSWER

Answered 2022-Mar-30 at 04:35

You could just update relations using complete, and than filter out the rows where from is equal to to, which gives arrows from a node to itself.

relations <- relations %>% 
  complete(from, to) %>% 
  dplyr::filter(from != to)

Source https://stackoverflow.com/questions/71671488

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

Vulnerabilities

No vulnerabilities reported

Install mplcyberpunk

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

DOWNLOAD this Library from

Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from
over 430 million Knowledge Items
Find more libraries
Reuse Solution Kits and Libraries Curated by Popular Use Cases
Explore Kits

Save this library and start creating your kit

Explore Related Topics

Share this Page

share link
Reuse Pre-built Kits with mplcyberpunk
Consider Popular Data Visualization Libraries
Try Top Libraries by dhaitz
Compare Data Visualization Libraries with Highest Support
Compare Data Visualization Libraries with Highest Quality
Compare Data Visualization Libraries with Highest Security
Compare Data Visualization Libraries with Permissive License
Compare Data Visualization Libraries with Highest Reuse
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from
over 430 million Knowledge Items
Find more libraries
Reuse Solution Kits and Libraries Curated by Popular Use Cases
Explore Kits

Save this library and start creating your kit

  • © 2022 Open Weaver Inc.