https://github.com/stisa/graph

A basic plotting lib in nim
https://github.com/stisa/graph

graph nim plot

Last synced: about 1 month ago
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A basic plotting lib in nim

• Host: GitHub
• URL: https://github.com/stisa/graph
• Owner: stisa
• License: mit
• Created: 2016-09-15T20:54:38.000Z (about 8 years ago)
• Default Branch: master
• Last Pushed: 2020-08-28T10:44:40.000Z (over 4 years ago)
• Last Synced: 2024-08-04T02:08:02.298Z (4 months ago)
• Topics: graph, nim, plot
• Language: Nim
• Homepage: https://stisa.space/graph/theindex.html
• Size: 797 KB
• Stars: 26
• Watchers: 3
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
Graph

=====

This is a basic plotting library, written in [nim](http://nim-lang.org).  

The end goal is to have a tiny plotting lib to use with [jupyternim](https://github.com/stisa/jupyternim)  

Outputs `.png` or `.svg` files, or a string that contains the `png` as binary data or the `svg` as string.

For what I want to achieve and where I'm at, see [target](notes/target.md)

Some examples are in [examples](examples):

**Note: text labels are WIP, only for svg atm**

### Example 

![current](notes/currentsvg.svg)

```nim

import graph, math, arraymancer

let 

  x  = arange(0.0'f64, 10,0.1)

let 

  y  = sin(x)

  y2 = cos(x)

var srf = plot(x.data,y.data)

srf.plot(x.data, y2.data)

srf.grid

# Save to file

srf.saveTo("currentpng.png")

srf.saveTo("currentsvg.svg")

```

## Current structure

- **graph**: exposes everything ( basic functionality )

Inside `graph` there are specific apis:

- color: exposes various colours and the proc `color(r,g,b,a)`

- plot: initializing the plot, adding plots

- surface: the implementation of `Surface` and `Axis`

- `backend`: handles rendering the plot

## TODO:

* matplotlib defaults

  - figure size is 6.4x4.8"

  - dpi is 100  

* [target style](notes/target.md)

* plotProc should lazily evaluate the proc?

* better integration with Arraymancer (a Concept that matches if .data and [] ?)

* integrate chroma? (need to contribute blend?)

* separate drawing layers for the plot and the background/names/etc so that lines aren't overwritten

* can I use Arraymancer's tensor without blas? Would they work in js?

* documentation

* looks like matplotlib does some spline/approximation stuff to get that smooth

  * nope, checked the svg and it's plain lines => I need a better line algo

* distinguish margin and padding

* calculate max/min y value str len and adjust eg left margin to fit labels

* svg backend: less strings, more nodes