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Add p5.dataframe and wildflower
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nickmcintyre committed Jul 2, 2022
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63 changes: 57 additions & 6 deletions README.md
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Expand Up @@ -11,17 +11,68 @@ This addon library for p5.js turns the "software sketchbook" into a beginner-fri

- A tensor object (similar to [NumPy](https://numpy.org/) arrays)
- A computer algebra system (similar to [SymPy](https://www.sympy.org/en/index.html))
- A plotting API (similar to [Matplotlib](https://matplotlib.org/) -- coming soon!)
- A supercharged p5.Table (similar to [pandas](https://pandas.pydata.org/) DataFrames -- coming soon!)
- A machine learning API (similar to [Keras](https://keras.io/) -- coming soon!)
- A grammar of graphics (similar to [ggplot2](https://ggplot2.tidyverse.org/))
- A supercharged p5.Table (similar to [pandas](https://pandas.pydata.org/) DataFrames)
- A machine learning API (similar to [scikit-learn](https://scikit-learn.org/stable/index.html) -- coming soon!)
- A drawing turtle (because they're awesome)

The library is written in [TypeScript](http://www.typescriptlang.org/) and uses [TensorFlow.js](https://js.tensorflow.org/api/latest/) and [Math.js](https://mathjs.org/) under the hood. It bundles [TurtleGFX](https://github.com/CodeGuppyPrograms/TurtleGFX) for drawing with turtles.
The library is written in [TypeScript](http://www.typescriptlang.org/) and uses [Day.js](https://day.js.org/), [Math.js](https://mathjs.org/), and [TensorFlow.js](https://js.tensorflow.org/api/latest/) under the hood. It bundles [p5.dataframe](https://github.com/nickmcintyre/p5.dataframe), [TurtleGFX](https://github.com/CodeGuppyPrograms/TurtleGFX), and [wildflower](https://github.com/nickmcintyre/wildflower).

## Usage

### Plotting
View the [plotting example](/examples/plotting/).
```javascript
let iris
let plot

function preload() {
iris = loadTable('iris.csv', 'csv', 'header')
}

function setup() {
createCanvas(400, 400)

plot = createPlot(iris)
}

function draw() {
plot.title('Iris sepals')
plot.xlabel('Width')
plot.ylabel('Height')
plot.point({
x: 'SepalWidth',
y: 'SepalLength',
})
}
```

### Tables
View the [tables example](/examples/tables/).
```javascript
let iris

function preload() {
iris = loadTable('iris.csv', 'csv', 'header')
}

function setup() {
noCanvas()
iris.inferTypes()
// print('The iris dataset')
// iris.print()
print('Iris dataset summary by column')
let summary = iris.describe()
summary.print()
print('Mean by species')
let mean = iris.groupby('Species').mean()
mean.print()
}
```

### Matrix-vector multiplication
View the [matrix-vector example](/examples/matrix-vector/).
```javascript
// A little matrix-vector multiplication
const a = createTensor([[1, 2], [3, 4]]);
const x = createTensor([5, 6]);
const b = a.dot(x);
Expand All @@ -31,7 +82,7 @@ b.print();

## Demo

The fluid simulation below was created using a 2-dimensional [lattice Boltzmann method](https://en.wikipedia.org/wiki/Lattice_Boltzmann_methods).
The [fluid simulation](/examples/fluid-simulation/) below was created using a 2-dimensional [lattice Boltzmann method](https://en.wikipedia.org/wiki/Lattice_Boltzmann_methods).

![A fluid simulation](examples/fluid-simulation/lbm.gif)

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151 changes: 151 additions & 0 deletions examples/plotting/iris.csv
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SepalLength,SepalWidth,PetalLength,PetalWidth,Species
5.1,3.5,1.4,0.2,setosa
4.9,3.0,1.4,0.2,setosa
4.7,3.2,1.3,0.2,setosa
4.6,3.1,1.5,0.2,setosa
5.0,3.6,1.4,0.2,setosa
5.4,3.9,1.7,0.4,setosa
4.6,3.4,1.4,0.3,setosa
5.0,3.4,1.5,0.2,setosa
4.4,2.9,1.4,0.2,setosa
4.9,3.1,1.5,0.1,setosa
5.4,3.7,1.5,0.2,setosa
4.8,3.4,1.6,0.2,setosa
4.8,3.0,1.4,0.1,setosa
4.3,3.0,1.1,0.1,setosa
5.8,4.0,1.2,0.2,setosa
5.7,4.4,1.5,0.4,setosa
5.4,3.9,1.3,0.4,setosa
5.1,3.5,1.4,0.3,setosa
5.7,3.8,1.7,0.3,setosa
5.1,3.8,1.5,0.3,setosa
5.4,3.4,1.7,0.2,setosa
5.1,3.7,1.5,0.4,setosa
4.6,3.6,1.0,0.2,setosa
5.1,3.3,1.7,0.5,setosa
4.8,3.4,1.9,0.2,setosa
5.0,3.0,1.6,0.2,setosa
5.0,3.4,1.6,0.4,setosa
5.2,3.5,1.5,0.2,setosa
5.2,3.4,1.4,0.2,setosa
4.7,3.2,1.6,0.2,setosa
4.8,3.1,1.6,0.2,setosa
5.4,3.4,1.5,0.4,setosa
5.2,4.1,1.5,0.1,setosa
5.5,4.2,1.4,0.2,setosa
4.9,3.1,1.5,0.1,setosa
5.0,3.2,1.2,0.2,setosa
5.5,3.5,1.3,0.2,setosa
4.9,3.1,1.5,0.1,setosa
4.4,3.0,1.3,0.2,setosa
5.1,3.4,1.5,0.2,setosa
5.0,3.5,1.3,0.3,setosa
4.5,2.3,1.3,0.3,setosa
4.4,3.2,1.3,0.2,setosa
5.0,3.5,1.6,0.6,setosa
5.1,3.8,1.9,0.4,setosa
4.8,3.0,1.4,0.3,setosa
5.1,3.8,1.6,0.2,setosa
4.6,3.2,1.4,0.2,setosa
5.3,3.7,1.5,0.2,setosa
5.0,3.3,1.4,0.2,setosa
7.0,3.2,4.7,1.4,versicolor
6.4,3.2,4.5,1.5,versicolor
6.9,3.1,4.9,1.5,versicolor
5.5,2.3,4.0,1.3,versicolor
6.5,2.8,4.6,1.5,versicolor
5.7,2.8,4.5,1.3,versicolor
6.3,3.3,4.7,1.6,versicolor
4.9,2.4,3.3,1.0,versicolor
6.6,2.9,4.6,1.3,versicolor
5.2,2.7,3.9,1.4,versicolor
5.0,2.0,3.5,1.0,versicolor
5.9,3.0,4.2,1.5,versicolor
6.0,2.2,4.0,1.0,versicolor
6.1,2.9,4.7,1.4,versicolor
5.6,2.9,3.6,1.3,versicolor
6.7,3.1,4.4,1.4,versicolor
5.6,3.0,4.5,1.5,versicolor
5.8,2.7,4.1,1.0,versicolor
6.2,2.2,4.5,1.5,versicolor
5.6,2.5,3.9,1.1,versicolor
5.9,3.2,4.8,1.8,versicolor
6.1,2.8,4.0,1.3,versicolor
6.3,2.5,4.9,1.5,versicolor
6.1,2.8,4.7,1.2,versicolor
6.4,2.9,4.3,1.3,versicolor
6.6,3.0,4.4,1.4,versicolor
6.8,2.8,4.8,1.4,versicolor
6.7,3.0,5.0,1.7,versicolor
6.0,2.9,4.5,1.5,versicolor
5.7,2.6,3.5,1.0,versicolor
5.5,2.4,3.8,1.1,versicolor
5.5,2.4,3.7,1.0,versicolor
5.8,2.7,3.9,1.2,versicolor
6.0,2.7,5.1,1.6,versicolor
5.4,3.0,4.5,1.5,versicolor
6.0,3.4,4.5,1.6,versicolor
6.7,3.1,4.7,1.5,versicolor
6.3,2.3,4.4,1.3,versicolor
5.6,3.0,4.1,1.3,versicolor
5.5,2.5,4.0,1.3,versicolor
5.5,2.6,4.4,1.2,versicolor
6.1,3.0,4.6,1.4,versicolor
5.8,2.6,4.0,1.2,versicolor
5.0,2.3,3.3,1.0,versicolor
5.6,2.7,4.2,1.3,versicolor
5.7,3.0,4.2,1.2,versicolor
5.7,2.9,4.2,1.3,versicolor
6.2,2.9,4.3,1.3,versicolor
5.1,2.5,3.0,1.1,versicolor
5.7,2.8,4.1,1.3,versicolor
6.3,3.3,6.0,2.5,virginica
5.8,2.7,5.1,1.9,virginica
7.1,3.0,5.9,2.1,virginica
6.3,2.9,5.6,1.8,virginica
6.5,3.0,5.8,2.2,virginica
7.6,3.0,6.6,2.1,virginica
4.9,2.5,4.5,1.7,virginica
7.3,2.9,6.3,1.8,virginica
6.7,2.5,5.8,1.8,virginica
7.2,3.6,6.1,2.5,virginica
6.5,3.2,5.1,2.0,virginica
6.4,2.7,5.3,1.9,virginica
6.8,3.0,5.5,2.1,virginica
5.7,2.5,5.0,2.0,virginica
5.8,2.8,5.1,2.4,virginica
6.4,3.2,5.3,2.3,virginica
6.5,3.0,5.5,1.8,virginica
7.7,3.8,6.7,2.2,virginica
7.7,2.6,6.9,2.3,virginica
6.0,2.2,5.0,1.5,virginica
6.9,3.2,5.7,2.3,virginica
5.6,2.8,4.9,2.0,virginica
7.7,2.8,6.7,2.0,virginica
6.3,2.7,4.9,1.8,virginica
6.7,3.3,5.7,2.1,virginica
7.2,3.2,6.0,1.8,virginica
6.2,2.8,4.8,1.8,virginica
6.1,3.0,4.9,1.8,virginica
6.4,2.8,5.6,2.1,virginica
7.2,3.0,5.8,1.6,virginica
7.4,2.8,6.1,1.9,virginica
7.9,3.8,6.4,2.0,virginica
6.4,2.8,5.6,2.2,virginica
6.3,2.8,5.1,1.5,virginica
6.1,2.6,5.6,1.4,virginica
7.7,3.0,6.1,2.3,virginica
6.3,3.4,5.6,2.4,virginica
6.4,3.1,5.5,1.8,virginica
6.0,3.0,4.8,1.8,virginica
6.9,3.1,5.4,2.1,virginica
6.7,3.1,5.6,2.4,virginica
6.9,3.1,5.1,2.3,virginica
5.8,2.7,5.1,1.9,virginica
6.8,3.2,5.9,2.3,virginica
6.7,3.3,5.7,2.5,virginica
6.7,3.0,5.2,2.3,virginica
6.3,2.5,5.0,1.9,virginica
6.5,3.0,5.2,2.0,virginica
6.2,3.4,5.4,2.3,virginica
5.9,3.0,5.1,1.8,virginica
24 changes: 16 additions & 8 deletions examples/plotting/sketch.js
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const x = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10];
const y = x.map(xval => xval ** 2);
let iris
let plot

function preload() {
iris = loadTable('iris.csv', 'csv', 'header')
}

function setup() {
createCanvas(400, 400);
createCanvas(400, 400)

plot = createPlot(iris)
}

function draw() {
background(220);
stroke("red");
strokeWeight(5);
// plot(x, y);
scatter(x, y);
plot.title('Iris sepals')
plot.xlabel('Width')
plot.ylabel('Height')
plot.point({
x: 'SepalWidth',
y: 'SepalLength',
})
}
12 changes: 12 additions & 0 deletions examples/tables/index.html
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<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<title>Tables Example</title>
<script src="../../node_modules/p5/lib/p5.min.js"></script>
<script src="../../dist/numero.js"></script>
<script src="sketch.js"></script>
</head>
<body>
</body>
</html>
18 changes: 18 additions & 0 deletions examples/tables/sketch.js
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let iris

function preload() {
iris = loadTable('../plotting/iris.csv', 'csv', 'header')
}

function setup() {
noCanvas()
// iris.print() // raw dataset
iris.inferTypes()
// iris.print() // dataset with types inferred
print('Iris dataset summary by column')
let summary = iris.describe()
summary.print()
print('Mean by species')
let mean = iris.groupby('Species').mean()
mean.print()
}
21 changes: 21 additions & 0 deletions licenses/p5dataframe-license.txt
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MIT License

Copyright (c) 2022 Nick McIntyre

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
21 changes: 21 additions & 0 deletions licenses/wildflower-license.txt
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@@ -0,0 +1,21 @@
MIT License

Copyright (c) 2020 Nick McIntyre

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
2 changes: 1 addition & 1 deletion package.json
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@@ -1,6 +1,6 @@
{
"name": "numero",
"version": "0.2.2",
"version": "0.2.3",
"description": "A friendly and intuitive math library for p5.js",
"main": "index.js",
"scripts": {
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