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Repository: jorgehpo/notebookJS
Branch: main
Commit: 5a930661420b
Files: 33
Total size: 216.3 KB
Directory structure:
gitextract_k0oa75uh/
├── .gitignore
├── Examples/
│ ├── 1_HelloWorld/
│ │ └── HelloWorld.ipynb
│ ├── 2_SimpleD3_Circle/
│ │ ├── SimpleD3_Circle.ipynb
│ │ └── draw_circle_lib.js
│ ├── 3_RadialBarChart/
│ │ ├── RadialBarChart.ipynb
│ │ ├── energy.csv
│ │ ├── radial_bar.css
│ │ └── radial_bar_lib.js
│ ├── 4_Bidirectional_Comm/
│ │ ├── Bar_Chart_Bidirectional_Comm.ipynb
│ │ └── bar_chart_lib.js
│ ├── 5_Webpack_BaseballAnnotator_Bidirectional/
│ │ ├── BaseballAnnotator.ipynb
│ │ └── BaseballVisualizer/
│ │ ├── js/
│ │ │ ├── DraggableTimeline.js
│ │ │ ├── PlayDiagram.js
│ │ │ ├── TrajectoryAnnotator.js
│ │ │ ├── helpers.js
│ │ │ └── index.js
│ │ ├── package.json
│ │ ├── play_annotated.csv
│ │ └── webpack.config.js
│ ├── 6_HelloWorld_Bidirectional/
│ │ └── HelloWorld_Bidirectional.ipynb
│ └── 7_D3_scatterplot/
│ ├── D3_Scatter.ipynb
│ ├── Prices.csv
│ └── scatterplot_lib.js
├── Images/
│ └── notebookJS.ai
├── LICENSE
├── MANIFEST.in
├── README.md
├── notebookjs/
│ ├── __init__.py
│ ├── _comm.py
│ ├── _display.py
│ └── resources/
│ ├── CommAPI.js
│ └── template.html
└── setup.py
================================================
FILE CONTENTS
================================================
================================================
FILE: .gitignore
================================================
*.egg-info
.DS_Store
__pycache__
build
dist
node_modules
.ipynb_checkpoints
================================================
FILE: Examples/1_HelloWorld/HelloWorld.ipynb
================================================
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Hello World\n",
"\n",
"Adding a text element to a Notebook output cell using plain JavaScript"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"from notebookjs import execute_js"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Writing the js function"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"helloworld_js = \"\"\"\n",
"function helloworld(div_id, data){\n",
" document.querySelector(div_id).textContent=data.text;\n",
"}\n",
"\"\"\""
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Running the code"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"execute_js(helloworld_js, \"helloworld\", {\"text\": \"Hello World\"})"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.5"
}
},
"nbformat": 4,
"nbformat_minor": 4
}
================================================
FILE: Examples/2_SimpleD3_Circle/SimpleD3_Circle.ipynb
================================================
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Simple D3 Circle\n",
"\n",
"This notebook shows how to load D3js from an URL and draw a simple circle in a notebook"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"from notebookjs import execute_js"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Setting up the JavaScript libraries\n",
"\n",
"We are using two JavaScript libraries: D3 and a local \"draw_circle_lib\" library.\n",
"\n",
"- D3 is loaded from the web (notebookJS takes care of downloading files from URLs). \n",
"\n",
"- draw_circle_lib is loaded from a local file.\n",
"\n",
"**Note that we are using D3 V3.**\n",
"More recent versions of D3 use ES6 and cannot be directly loaded in the notebook script tag. We recommend using a javascript build tool such as babel + webpack to use more modern libraries."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"with open(\"./draw_circle_lib.js\", \"r\") as f:\n",
" draw_circle_lib = f.read()\n",
" \n",
"d3_lib_url = \"https://d3js.org/d3.v3.min.js\""
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"This is the D3 function to draw a circle: "
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"print(draw_circle_lib)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Running the code"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"execute_js([d3_lib_url, draw_circle_lib], \"draw_circle\", {\"color\": \"#4682B4\"})"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.5"
}
},
"nbformat": 4,
"nbformat_minor": 4
}
================================================
FILE: Examples/2_SimpleD3_Circle/draw_circle_lib.js
================================================
function draw_circle(id, data){
d3.select(id)
.append("div")
.style("width", "50px")
.style("height", "50px")
.style("background-color", data.color)
.style("border-radius", "50px")
}
================================================
FILE: Examples/3_RadialBarChart/RadialBarChart.ipynb
================================================
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Radial Bar Chart\n",
"\n",
"We port the Radial Bar Chart implemented in D3 to a Jupyter Notebook.\n",
"Code adapted from https://bl.ocks.org/AntonOrlov/6b42d8676943cc933f48a43a7c7e5b6c"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Loading the radial bar chart code. \n",
"\n",
"We load both js and css scripts"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"d3_lib_url = \"https://d3js.org/d3.v3.min.js\"\n",
"\n",
"with open(\"radial_bar.css\", \"r\") as f:\n",
" radial_bar_css = f.read()\n",
" \n",
"with open (\"radial_bar_lib.js\", \"r\") as f:\n",
" radial_bar_lib = f.read()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Loading data"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
"energy = pd.read_csv(\"energy.csv\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Plotting the bar chart \n",
"\n",
"Radial Bar Chart of energy consumption over five months"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"from notebookjs import execute_js\n",
"execute_js(library_list=[d3_lib_url, radial_bar_lib], main_function=\"radial_bar\", \n",
" data_dict=energy.to_dict(orient=\"records\"), css_list=[radial_bar_css])"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.5"
}
},
"nbformat": 4,
"nbformat_minor": 4
}
================================================
FILE: Examples/3_RadialBarChart/energy.csv
================================================
name,value
Jan,432
Feb,340
Mar,382
Apr,398
May,410
================================================
FILE: Examples/3_RadialBarChart/radial_bar.css
================================================
body {
font: 12px sans-serif;
}
svg {
margin: 0px auto;
display: block;
}
path.arc {
opacity: 0.9;
transition: opacity 0.5s;
}
path.arc:hover {
opacity: 0.7;
}
.axis line, .axis circle {
stroke: #cccccc;
stroke-width: 1px
}
.axis circle {
fill: none;
}
.r.axis text {
text-anchor: end
}
.tooltip {
position: absolute;
display: none;
background: rgba(0, 0, 0, 0.6);
border-radius: 3px;
box-shadow: -3px 3px 15px #888;
color: white;
padding: 6px;
}
================================================
FILE: Examples/3_RadialBarChart/radial_bar_lib.js
================================================
function radial_bar(div_id, data){
// Radial Bar Chart
// Code adapted from: https://bl.ocks.org/AntonOrlov/6b42d8676943cc933f48a43a7c7e5b6c
// We have changed the data loading lines (to receive the parameter data) and ported the code to D3 V3.
const width = 960,
height = 500,
chartRadius = height / 2 - 40;
const color = d3.scale.category10();
let svg = d3.select(div_id).append('svg')
.attr('width', width)
.attr('height', height)
.append('g')
.attr('transform', 'translate(' + width / 2 + ',' + height / 2 + ')');
let tooltip = d3.select('body').append('div')
.attr('class', 'tooltip');
const PI = Math.PI,
arcMinRadius = 10,
arcPadding = 10,
labelPadding = -5,
numTicks = 10;
let scale = d3.scale.linear()
.domain([0, d3.max(data, d => d.value) * 1.1])
.range([0, 2 * PI]);
let ticks = scale.ticks(numTicks).slice(0, -1);
let keys = data.map((d, i) => d.name);
//number of arcs
const numArcs = keys.length;
const arcWidth = (chartRadius - arcMinRadius - numArcs * arcPadding) / numArcs;
let arc = d3.svg.arc()
.innerRadius((d, i) => getInnerRadius(i))
.outerRadius((d, i) => getOuterRadius(i))
.startAngle(0)
.endAngle((d, i) => scale(d))
let radialAxis = svg.append('g')
.attr('class', 'r axis')
.selectAll('g')
.data(data)
.enter().append('g');
radialAxis.append('circle')
.attr('r', (d, i) => getOuterRadius(i) + arcPadding);
radialAxis.append('text')
.attr('x', labelPadding)
.attr('y', (d, i) => -getOuterRadius(i) + arcPadding)
.text(d => d.name);
let axialAxis = svg.append('g')
.attr('class', 'a axis')
.selectAll('g')
.data(ticks)
.enter().append('g')
.attr('transform', d => 'rotate(' + (rad2deg(scale(d)) - 90) + ')');
axialAxis.append('line')
.attr('x2', chartRadius);
axialAxis.append('text')
.attr('x', chartRadius + 10)
.style('text-anchor', d => (scale(d) >= PI && scale(d) < 2 * PI ? 'end' : null))
.attr('transform', d => 'rotate(' + (90 - rad2deg(scale(d))) + ',' + (chartRadius + 10) + ',0)')
.text(d => d);
//data arcs
let arcs = svg.append('g')
.attr('class', 'data')
.selectAll('path')
.data(data)
.enter().append('path')
.attr('class', 'arc')
.style('fill', (d, i) => color(i))
arcs.transition()
.delay((d, i) => i * 200)
.duration(1000)
.attrTween('d', arcTween);
arcs.on('mousemove', showTooltip)
arcs.on('mouseout', hideTooltip)
function arcTween(d, i) {
let interpolate = d3.interpolate(0, d.value);
return t => arc(interpolate(t), i);
}
function showTooltip(d) {
tooltip.style('left', (d3.event.pageX + 10) + 'px')
.style('top', (d3.event.pageY - 25) + 'px')
.style('display', 'inline-block')
.html(d.value);
}
function hideTooltip() {
tooltip.style('display', 'none');
}
function rad2deg(angle) {
return angle * 180 / PI;
}
function getInnerRadius(index) {
return arcMinRadius + (numArcs - (index + 1)) * (arcWidth + arcPadding);
}
function getOuterRadius(index) {
return getInnerRadius(index) + arcWidth;
}
}
================================================
FILE: Examples/4_Bidirectional_Comm/Bar_Chart_Bidirectional_Comm.ipynb
================================================
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Bar chart example with bidirectional communication"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"from notebookjs import execute_js"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Loading libraries"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"d3_lib_url = \"https://d3js.org/d3.v3.min.js\"\n",
"\n",
"with open(\"bar_chart_lib.js\", \"r\") as f:\n",
" bar_chart_lib = f.read()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### The bar chart displays the array data in order"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"data_dict = {\n",
" \"array\": [1,2,3]\n",
"}\n",
"execute_js(library_list=[d3_lib_url, bar_chart_lib], main_function=\"bar_chart\", data_dict=data_dict)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Set up data update callback"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"import random\n",
"\n",
"def random_array(data):\n",
" # Makes an array of <data[\"n\"]> random numbers\n",
" n = data[\"n\"]\n",
" return {'array': [random.random() for x in range(n)]}\n",
"\n",
"callbacks = {'random_array': random_array}"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Update the bar chart every 2 seconds using callback"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"update_func_js = \"\"\"\n",
"function set_update(div_id, _){ \n",
" comm = new CommAPI(\"random_array\", (data) => {\n",
" d3.select(div_id).selectAll(\"*\").remove();\n",
" bar_chart(div_id, data);\n",
" });\n",
" comm.call({n: 5})\n",
" setInterval(function(){ comm.call({n: 5}) }, 2000);\n",
"}\n",
"\"\"\"\n",
"\n",
"execute_js(library_list=[d3_lib_url, bar_chart_lib, update_func_js], main_function=\"set_update\", callbacks=callbacks)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.5"
}
},
"nbformat": 4,
"nbformat_minor": 4
}
================================================
FILE: Examples/4_Bidirectional_Comm/bar_chart_lib.js
================================================
function bar_chart(div_id, data_dict){
const data = data_dict.array;
const div = d3.select(div_id)
const height = data.length * 20;
const scaleY = d3.scale.ordinal()
.domain(d3.range(data.length))
.rangeRoundBands([0, height], .1);
const scaleX = d3.scale.linear()
.domain(d3.extent(data))
.range([1, 120]);
const svg = div.append("svg")
.style("width", "120px")
.style("height", height+"px");
svg.selectAll("rect")
.data(data)
.enter()
.append("rect")
.attr("x", 0)
.attr("y", (d, i) => scaleY(i))
.attr("width", d => scaleX(d))
.attr("height", scaleY.rangeBand());
}
================================================
FILE: Examples/5_Webpack_BaseballAnnotator_Bidirectional/BaseballAnnotator.ipynb
================================================
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Baseball Visualizer and Annotator - Bidirectional communication"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"This visualization shows an interactive chart that displays baseball game trajectories. The user can control the progress of the play using a slider. Furthermore, the user can select a player or the ball to edit its trajectory (either clicking on the field, or using the button \"Clear trajectory\"). Visualization based on the paper HistoryTracker (Ono et al, 2019)."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Loading code bundle (built with Webpack)\n",
"\n",
"Source code for the bundle is in BaseballVisualizer/js.\n",
"\n",
"To build the library from scratch, run\n",
"\n",
"```\n",
"cd BaseballVisualizer\n",
"npm install\n",
"npm run build\n",
"```"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"with open(\"BaseballVisualizer/build/baseballvisualizer.js\", \"r\") as f:\n",
" code_bundle = f.read()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Loading the data (baseball play trajectory in CSV)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
"play_csv = pd.read_csv(\"./BaseballVisualizer/play_annotated.csv\")\n",
"data_dict = {'tracking': play_csv.to_json(orient=\"records\")}"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Setting up callback\n",
"\n",
"The callback function will set the received_trajectory variable when the user clicks the button \"Submit\""
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"received_trajectory = None\n",
"\n",
"def receive_trajectory(data):\n",
" global received_trajectory \n",
" received_trajectory = data['trajectory']\n",
" return {\"received\": True}\n",
" \n",
"callbacks = {'submit_trajectory': receive_trajectory}"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"In javascript, the callback call is done in BaseballVisualizer/js/TrajectoryAnnotator.js\n",
"\n",
"```Javascript\n",
"function submitTrajectoryToServer(tracking){\n",
" const alert_sent = ()=>{alert(\"Trajectory sent to Jupyter Notebook.\")};\n",
" let comm = new CommAPI(\"submit_trajectory\", alert_sent)\n",
"\n",
" // Send data\n",
" comm.call({'trajectory': tracking})\n",
"}\n",
"```"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Rendering Visualization"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"from notebookjs import execute_js\n",
"\n",
"execute_js(library_list=code_bundle, \n",
" main_function=\"baseballvisualizer.renderBaseballAnnotator\", \n",
" data_dict=data_dict, \n",
" callbacks=callbacks)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"received_trajectory"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.5"
}
},
"nbformat": 4,
"nbformat_minor": 4
}
================================================
FILE: Examples/5_Webpack_BaseballAnnotator_Bidirectional/BaseballVisualizer/js/DraggableTimeline.js
================================================
import React from "react";
import PropTypes from 'prop-types';
import * as d3 from 'd3';
import Slider from 'rc-slider';
import 'rc-slider/assets/index.css';
export default class DraggableTimeline extends React.Component {
shouldComponentUpdate(nextProps, nextState) {
if (this.props.tracking === nextProps.tracking) {
return false;
}
return true;
}
render () {
const tracking = this.props.tracking;
const annotatedPoints = {};
tracking.forEach(({x, y, t}, idx) =>
{
annotatedPoints[t] = {};
});
const createSliderWithTooltip = Slider.createSliderWithTooltip;
const SliderTP = createSliderWithTooltip(Slider);
return (
<div style={{width: this.props.width, marginBottom: 15}}>
<SliderTP
min={0}
max={this.props.trackingDuration}
step={0.01}
defaultValue={this.props.playerHead}
onChange={value => {this.props.onDragTime(value)}}
marks={annotatedPoints}
activeDotStyle={{ borderColor: 'steelblue' }}
dotStyle={{borderColor: 'steelblue' }}
trackStyle={{ backgroundColor: 'steelblue' }}
railStyle={{ backgroundColor: 'steelblue' }}
width={this.props.width}
/>
</div>
);
}
}
DraggableTimeline.propTypes = {
width: PropTypes.number.isRequired,
height: PropTypes.number.isRequired,
tracking: PropTypes.array,
playerHead: PropTypes.number,
margin: PropTypes.object,
onDragTime: PropTypes.func.isRequired,
trackingDuration: PropTypes.number.isRequired,
};
DraggableTimeline.defaultProps = {
width: 400,
height: 10,
margin: {top:10, bottom: 10, left: 10, right:10}
};
================================================
FILE: Examples/5_Webpack_BaseballAnnotator_Bidirectional/BaseballVisualizer/js/PlayDiagram.js
================================================
import React, { Component } from 'react';
import PropTypes from "prop-types";
import { mapFieldSVG, mapSVGField, constants, mapFieldSVGY, mapFieldSVGX, interpolatePositions } from './helpers';
import $ from "jquery";
import * as d3 from "d3";
import fieldsvg from "./field.svg";
export default class PlayDiagram extends Component {
render() {
let ball = null;
let line = d3.line()
.x((d) => {
return mapFieldSVGX(d.x);
})
.y((d) => {
return mapFieldSVGY(d.y);
});
const lineElems = [];
const endElems = [];
constants.gameElements.forEach( elem => {
if (this.props.tracking && this.props.tracking[elem] && this.props.tracking[elem].length > 0){
const tracking = this.props.tracking;
const newTrackingElem = [];
for (let i = 0; i < tracking[elem].length; ++i){
if (tracking[elem][i].t > this.props.playUpTo){
break;
}
newTrackingElem.push(tracking[elem][i]);
}
const lastPos = interpolatePositions(this.props.playUpTo, tracking[elem]);
newTrackingElem.push( {...lastPos, t: this.props.playUpTo} );
lineElems.push(
<path
d={line(newTrackingElem)}
style={{
strokeWidth: 0.6,
strokeOpacity: 1,
strokeDasharray: elem==="BALL" ? "3 3" : "0",
fillOpacity: 0,
stroke: "#000"
}}
key={elem}
/>);
if (elem === this.props.annotationElem) {
endElems.push(<circle
cx={mapFieldSVGX(lastPos.x)}
cy={mapFieldSVGY(lastPos.y)}
r={3}
style={{
fill: 'white',
stroke: 'black',
strokeWidth: 1
}}
key={elem}
/>);
} else {
endElems.push(
<circle
cx={mapFieldSVGX(lastPos.x)}
cy={mapFieldSVGY(lastPos.y)}
r={1}
style={{
stroke: "#000",
fill: "#000"
}}
key={elem}
/>
);
}
}
});
return (
<svg id="playDiagramBallSVG" viewBox={"0 0 250 250"} style={{width:this.props.width, height: this.props.height}}
onClick={(evt)=> {
let container = $("#playDiagramBallSVG").get(0).getBoundingClientRect();
let x = evt.clientX - container.left;
let y = evt.clientY - container.top;
const scaleX = 250/this.props.width;
const scaleY = 250/this.props.height;
let mapped = mapSVGField([x * scaleX, y * scaleY]);
this.props.onClick(mapped);
}}>
<image width={250} height={250} xlinkHref={fieldsvg}/>
{lineElems}
{endElems}
{ball}
</svg>
);
}
}
PlayDiagram.propTypes = {
width: PropTypes.number.isRequired,
height: PropTypes.number.isRequired,
onClick: PropTypes.func,
playUpTo: PropTypes.number,
tracking: PropTypes.object,
annotationElem: PropTypes.string
};
PlayDiagram.defaultProps = {
width: 500,
height: 500
};
================================================
FILE: Examples/5_Webpack_BaseballAnnotator_Bidirectional/BaseballVisualizer/js/TrajectoryAnnotator.js
================================================
import React, { Component } from 'react';
import PlayDiagram from './PlayDiagram';
import {interpolatePositions, constants, convert_data_format} from './helpers';
import {Container, Row, Col, Button} from 'react-bootstrap';
import 'rc-select/assets/index.less';
import DraggableTimeline from "./DraggableTimeline";
import PropTypes from 'prop-types';
function submitTrajectoryToServer(tracking){
const alert_sent = ()=>{alert("Trajectory sent to Jupyter Notebook.")};
let comm = new CommAPI("submit_trajectory", alert_sent)
// Send data
comm.call({'trajectory': tracking})
}
function convertRawTrackingToTrajectory(rawTracking) {
if (rawTracking === null) return [];
let tracking = Object.create(null);
constants.gameElements.forEach(element => {
tracking[element] = [];
for (let i = 0; i < rawTracking.length; ++i) {
if (rawTracking[i][element + "_x"] !== null) {
tracking[element].push({
x: rawTracking[i][element + "_x"],
y: rawTracking[i][element + "_y"],
t: rawTracking[i]["time_elapsed_sec"]
});
}
}
});
return tracking;
}
export default class TrajectoryAnnotator extends Component {
constructor(props){
super(props);
this.state = {
tracking: convertRawTrackingToTrajectory(this.props.tracking),
trackingDuration: this.props.tracking[this.props.tracking.length-1].time_elapsed_sec,
playerHead: 0,
curTracking: "B"
};
this.clickPlayDiagram = this.clickPlayDiagram.bind(this);
}
clickPlayDiagram(position) {
const curTracking = this.state.curTracking;
let newTracking = this.state.tracking[curTracking].filter(annotation => {
return Math.abs(annotation.t - this.state.playerHead) > 1e-1;
});
newTracking.push({
x: position[0],
y: position[1],
t: this.state.playerHead
});
const allTrackings = {
...this.state.tracking,
};
allTrackings[curTracking] = newTracking;
this.setState({tracking: allTrackings});
}
render() {
return (
<div>
Selected Position
<div style={{display: 'flex'}}>
{
constants.gameElements.map((elem) => {
return <label key={elem} style={{marginRight:15}}>
<input
type="radio" value={elem}
checked={this.state.curTracking === elem}
onChange={(changeEvent) => {this.setState({curTracking: changeEvent.target.value})}}
style={{marginRight: 5}}
/>
{elem}
</label>
})
}
</div>
<PlayDiagram
width={500}
height={500}
onClick={this.clickPlayDiagram}
tracking={this.state.tracking}
playUpTo={this.state.playerHead}
annotationElem={this.state.curTracking}
/>
<DraggableTimeline
x={0}
y={0}
width={500}
height={50}
tracking={this.state.tracking[this.state.curTracking]}
playerHead={this.state.playerHead}
onDragTime={(time) => {this.setState({playerHead: time})}}
trackingDuration={this.state.trackingDuration}
/>
<Button
onClick={()=>{
const originalDataFormat = convert_data_format(this.state.tracking);
submitTrajectoryToServer(originalDataFormat);
}}
>
Submit
</Button>
<Button
style={{marginLeft: 20}}
onClick={() => {
let newTracking = {
...this.state.tracking
};
newTracking[this.state.curTracking] = [];
this.setState({tracking: newTracking});
}}
>
Clear trajectory
</Button>
</div>
);
}
}
TrajectoryAnnotator.propTypes = {
tracking: PropTypes.arrayOf(PropTypes.object).isRequired
};
================================================
FILE: Examples/5_Webpack_BaseballAnnotator_Bidirectional/BaseballVisualizer/js/helpers.js
================================================
import {linear} from 'everpolate';
export const constants = {
gameElements: ["P", "B", "R@1", "R@2", "R@3", "1B", "2B", "3B", "SS", "LF", "CF", "RF", "C",
"BALL"],
gameElementsDesc: {
"P": "Pitcher",
"B": "Batter",
"R@1": "Runner at first",
"R@2": "Runner at second",
"R@3": "Runner at third",
"1B": "First baseman",
"2B": "Second baseman",
"3B": "Third baseman",
"SS": "Shortstop",
"LF": "Left fielder",
"CF": "Center fielder",
"RF": "Right fielder",
"C": "Catcher",
"BALL": "Ball"
},
};
const input2ndBase = [0.0, 127.2792206],
outputHomePlate = [125.2, 203.5],
output2ndBase = [125.2, 150.8],
inputScale = 1.0 / input2ndBase[1],
outputScale = 1.0 / (output2ndBase[1] - outputHomePlate[1]);
export function mapFieldSVGX(x){
const x2 = (((-x) * inputScale) / outputScale) + outputHomePlate[0];
return x2;
}
export function mapFieldSVGY(y){
const y2 = (y * inputScale) / outputScale + outputHomePlate[1];
return y2;
}
export function mapFieldSVG([x, y]){
const x2 = (((-x) * inputScale) / outputScale) + outputHomePlate[0];
const y2 = (y * inputScale) / outputScale + outputHomePlate[1];
return [x2, y2];
}
export function mapSVGField([x2, y2]){
const x = -((x2 - outputHomePlate[0]) * outputScale) / inputScale;
const y = ((y2 - outputHomePlate[1]) * outputScale) / inputScale;
return [x, y];
}
export function interpolatePositions(tQuery, positions) {
//positions: array of [{x, y, t}, ...]
if (positions.length === 1){
return {x: positions[0].x, y:positions[0].y};
}
positions.sort((a,b) => a.t - b.t);
if (tQuery <= positions[0].t) {
return {x: positions[0].x, y: positions[0].y}
}
if (tQuery >= positions[positions.length-1].t) {
return {x: positions[positions.length-1].x, y: positions[positions.length-1].y}
}
const t = positions.map(p=>p.t);
const x = positions.map(p=>p.x);
const y = positions.map(p=>p.y);
const mappedX = linear(tQuery, t, x);
const mappedY = linear(tQuery, t, y);
return {x: mappedX, y: mappedY};
}
export function convert_data_format(tracking){
let csvObj = {};
constants.gameElements.forEach(elem => {
tracking[elem].forEach( ({x, y, t}) => {
if (!csvObj[t]) {
csvObj[t] = {"time_elapsed_sec": t};
constants.gameElements.forEach(ename => {
csvObj[t][ename + "_x"] = null;
csvObj[t][ename + "_y"] = null;
})
}
csvObj[t][elem + "_x"] = x;
csvObj[t][elem + "_y"] = y;
});
});
const timeKeys = Object.keys(csvObj);
timeKeys.sort((a, b) => a - b);
const csvArray = [];
timeKeys.forEach(key => {
csvArray.push(csvObj[key]);
});
return csvArray;
}
================================================
FILE: Examples/5_Webpack_BaseballAnnotator_Bidirectional/BaseballVisualizer/js/index.js
================================================
import React from "react";
import ReactDOM from "react-dom";
import { select } from "d3-selection";
import TrajectoryAnnotator from "./TrajectoryAnnotator";
export function renderBaseballAnnotator(divName, data){
ReactDOM.render(
<TrajectoryAnnotator tracking={JSON.parse(data.tracking)}/>
, select(divName).node());
}
================================================
FILE: Examples/5_Webpack_BaseballAnnotator_Bidirectional/BaseballVisualizer/package.json
================================================
{
"name": "baseballvisualizer",
"version": "1.0.0",
"description": "library to plot and edit baseball trajectories",
"main": "./js/index.js",
"scripts": {
"test": "echo \"Error: no test specified\" && exit 1",
"build": "webpack",
"start": "webpack-dev-server --progress --colors --content-base dist/"
},
"author": "Jorge Piazentin Ono",
"license": "UNLICENSED",
"devDependencies": {
"@babel/core": "^7.12.9",
"@babel/preset-env": "^7.12.7",
"@babel/preset-react": "^7.12.7",
"babel-loader": "^8.2.2",
"css-loader": "^2.1.1",
"file-loader": "^3.0.1",
"less": "^4.0.0",
"less-loader": "^7.1.0",
"prop-types": "^15.6.2",
"react": "^16.14.0",
"react-dom": "^16.14.0",
"style-loader": "^0.23.1",
"url-loader": "^4.1.1",
"webpack": "^4.44.2",
"webpack-cli": "^3.3.11",
"webpack-dev-server": "^3.11.0",
"worker-loader": "^2.0.0"
},
"dependencies": {
"@babel/polyfill": "^7.12.1",
"@material-ui/core": "^4.11.2",
"@material-ui/icons": "^4.11.2",
"crossfilter2": "^1.5.4",
"d3": "^6.3.1",
"d3-array": "^2.9.0",
"d3-axis": "^1.0.12",
"d3-fetch": "^1.1.2",
"d3-scale": "^2.2.2",
"d3-scale-chromatic": "^1.3.3",
"d3-selection": "^1.4.0",
"d3-shape": "^1.3.7",
"d3-transition": "^1.3.2",
"d3-zoom": "^1.8.3",
"dagre": "^0.8.4",
"everpolate": "0.0.3",
"install": "^0.12.2",
"jquery": "^3.5.1",
"lodash": "^4.17.20",
"npm": "^7.3.0",
"rc-checkbox": "^2.3.1",
"rc-select": "^11.5.3",
"rc-slider": "^9.6.5",
"react-bootstrap": "^1.4.0",
"react-redux": "^6.0.0",
"react-select": "^2.4.1",
"redux": "^4.0.1",
"redux-thunk": "^2.3.0",
"styled-components": "^5.2.1"
}
}
================================================
FILE: Examples/5_Webpack_BaseballAnnotator_Bidirectional/BaseballVisualizer/play_annotated.csv
================================================
time_elapsed_sec,P_x,P_y,B_x,B_y,R@1_x,R@1_y,R@2_x,R@2_y,R@3_x,R@3_y,1B_x,1B_y,2B_x,2B_y,3B_x,3B_y,SS_x,SS_y,LF_x,LF_y,CF_x,CF_y,RF_x,RF_y,C_x,C_y,BALL_x,BALL_y
0.0,-1.0465815337,62.2709968754,-2.2541642719,-2.9384709841,,,,,,,,,,,-72.29396308400649,91.01148815468284,-59.010552964461894,136.89963220401873,,,,,,,-2.2541642719,-6.5612191986,,
3.243,,,,,,,,,,,,,,,,,,,,,,,,,,,0.1207582738,62.7943023833
3.443,,,,,,,,,,,,,,,,,,,,,,,,,,,-1.0868244643,8.453079167
3.68,,,,,,,,,,,55.7098071589,96.0833135434,,,,,,,,,,,,,,,,
3.98,,,-1.0465815337,-2.9384709841,,,,,,,,,,,,,,,,,,,,,,,,
4.03,,,,,,,,,,,,,,,,,,,,,,,139.03301609056658,260.0730714943413,,,,
4.44,,,,,,,,,,,,,,,,,,,,,-16.74515712954728,316.82946018694093,,,,,,
4.47,,,,,,,,,,,,,,,,,,,-129.0503517766061,243.16691316037546,,,,,,,,
4.88,,,,,,,,,,,,,,,,,-42.10439463049605,136.89963220401873,,,,,,,,,,
5.493,,,,,,,,,,,,,,,,,,,,,,,,,,,31.5179094655,156.9857559583
5.81,,,,,,,,,,,64.1628863259,81.5923206857,,,,,,,,,,,,,,,,
6.34,,,,,,,,,,,,,,,,,,,,,,,128.16477144730283,217.8076756594267,,,,
6.57,,,,,,,,,,,,,,,,,,,-102.48353153751694,233.50625125525212,,,,,,,,
7.25,,,,,,,,,,,,,,,,,,,,,,,,,3.7837494188,-0.5233055079,,
7.383,,,,,,,,,,,,,,,,,,,,,,,,,,,61.707477919,65.2094678596
7.503,,,,,,,,,,,,,30.3103267273,156.9857559583,,,,,,,,,,,,,,
8.8,,,,,,,,,,,,,,,,,,,,,-33.65131546351312,249.20482685107754,,,,,,
8.81,,,,,,,,,,,,,,,,,-48.142308321198136,126.03138756075496,,,,,,,,,,
8.85,3.7837494188,52.6103349703,,,,,,,,,,,,,,,,,-102.48353153751694,214.18492744500543,,,,,,,,
8.89,,,62.9553035877,65.8937450899,,,,,,,64.1628863259,61.0634141373,,,,,,,,,,,131.78751966172408,180.37261077707376,,,,
8.893,,,,,,,,,,,,,38.7634058943,153.3630077438,,,,,,,,,,,,,,
================================================
FILE: Examples/5_Webpack_BaseballAnnotator_Bidirectional/BaseballVisualizer/webpack.config.js
================================================
const config = {
entry: ['./js/index.js'],
output: {
path: __dirname + '/build',
filename: 'baseballvisualizer.js',
library: 'baseballvisualizer'
},
module: {
rules: [
{
test: /\.js$/,
exclude: /node_modules/,
loader: 'babel-loader',
options: {
presets: ['@babel/preset-env', '@babel/react']
}
},
{
test: /\.css$/,
use: [
'style-loader',
'css-loader'
]
},
{
test: /\.less$/,
use: ['style-loader', 'css-loader', 'less-loader'],
},
{
test: /\.(jpg|png|svg)$/,
loader: "url-loader",
options: {
limit: Infinity // everything
}
}
]
},
resolve: {
extensions: ['.js']
},
devServer:{
writeToDisk:true,
hot:false,
inline: false,
},
mode: 'development'
};
module.exports = config;
================================================
FILE: Examples/6_HelloWorld_Bidirectional/HelloWorld_Bidirectional.ipynb
================================================
{
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "IaxAGrTGttuV"
},
"source": [
"# notebookJS Colab HelloWorld\n",
"\n",
"In this notebook, we show how to use notebookJS to run custom Javascript code. We also show how to send messages between Python and Javascript."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "vYD-yjPtn_ik"
},
"outputs": [],
"source": [
"!pip install notebookjs"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "BjePMHoyt9TF"
},
"source": [
"## Defining the JavaScript drawing function.\n",
"\n",
"The function requests a message to python every 1 second. The callback identifier is called *get_hello*"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "10am7Nm9oCc9"
},
"outputs": [],
"source": [
"helloworld_js = \"\"\"\n",
"function helloworld(div_id, data){\n",
" comm = new CommAPI(\"get_hello\", (ret) => {\n",
" document.querySelector(div_id).textContent = ret.text;\n",
" });\n",
" setInterval(() => {comm.call({})}, 1000);\n",
" comm.call({});\n",
"}\n",
"\"\"\""
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "zsXaw6XxuJF2"
},
"source": [
"## Defining the Python callback"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "L0ucikc4oIOW"
},
"outputs": [],
"source": [
"import random\n",
"def hello_world_random(data):\n",
" hello_world_languages = [\n",
" \"Ola Mundo\", # Portuguese\n",
" \"Hello World\", # English\n",
" \"Hola Mundo\", # Spanish\n",
" \"Geiá sou Kósme\", # Greek\n",
" \"Kon'nichiwa sekai\", # Japanese\n",
" \"Hallo Welt\", # German\n",
" \"namaste duniya\" #Hindi\n",
" ]\n",
" i = random.randint(0, len(hello_world_languages)-1)\n",
" return {'text': hello_world_languages[i]}"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "g-rkBdq7uXSL"
},
"source": [
"## Running the javascript function with Python callbacks"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "HaxtaaB-pj0z"
},
"outputs": [],
"source": [
"from notebookjs import execute_js\n",
"execute_js(helloworld_js, \"helloworld\", callbacks={\"get_hello\": hello_world_random})"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "848VKX8jqGbW"
},
"outputs": [],
"source": []
}
],
"metadata": {
"colab": {
"collapsed_sections": [],
"name": "HelloWorld_notebookJS_Colab.ipynb",
"provenance": []
},
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.5"
}
},
"nbformat": 4,
"nbformat_minor": 1
}
================================================
FILE: Examples/7_D3_scatterplot/D3_Scatter.ipynb
================================================
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# D3 Scatter Plot"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"D3 V3 scatter plot. Code adapted from https://www.d3-graph-gallery.com/graph/scatter_animation_start.html"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Loading libraries"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"with open(\"scatterplot_lib.js\", \"r\") as f:\n",
" scatterplot_lib = f.read()\n",
" \n",
"d3_lib_url = \"https://d3js.org/d3.v3.min.js\"\n",
"\n",
"css = \"\"\"\n",
".axis path,\n",
".axis line {\n",
" fill: none;\n",
" stroke: slategray;\n",
" shape-rendering: crispEdges;\n",
"}\n",
"\"\"\""
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Loading data"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
"data = pd.read_csv(\"Prices.csv\").to_dict(orient=\"records\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Plotting Scatter Plot"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"from notebookjs import execute_js\n",
"execute_js(library_list=[d3_lib_url, scatterplot_lib], main_function=\"scatter\", data_dict=data, css_list=css)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.5"
}
},
"nbformat": 4,
"nbformat_minor": 4
}
================================================
FILE: Examples/7_D3_scatterplot/Prices.csv
================================================
GrLivArea,SalePrice
1710,208500
1262,181500
1786,223500
1717,140000
2198,250000
1362,143000
1694,307000
2090,200000
1774,129900
1077,118000
1040,129500
2324,345000
912,144000
1494,279500
1253,157000
854,132000
1004,149000
1296,90000
1114,159000
1339,139000
2376,325300
1108,139400
1795,230000
1060,129900
1060,154000
1600,256300
900,134800
1704,306000
1600,207500
520,68500
1317,40000
1228,149350
1234,179900
1700,165500
1561,277500
2452,309000
1097,145000
1297,153000
1057,109000
1152,82000
1324,160000
1328,170000
884,144000
938,130250
1150,141000
1752,319900
2149,239686
1656,249700
1452,113000
955,127000
1470,177000
1176,114500
816,110000
1842,385000
1360,130000
1425,180500
1739,172500
1720,196500
2945,438780
780,124900
1158,158000
1111,101000
1370,202500
1710,140000
2034,219500
2473,317000
2207,180000
1479,226000
747,80000
2287,225000
2223,244000
845,129500
1718,185000
1086,144900
1605,107400
988,91000
952,135750
1285,127000
1768,136500
1230,110000
2142,193500
1337,153500
1563,245000
1065,126500
1474,168500
2417,260000
1560,174000
1224,164500
1526,85000
990,123600
1040,109900
1235,98600
964,163500
2291,133900
1786,204750
1470,185000
1588,214000
960,94750
835,83000
1225,128950
1610,205000
1732,178000
1535,118964
1226,198900
1818,169500
1992,250000
1047,100000
789,115000
1517,115000
1844,190000
1855,136900
1430,180000
2696,383970
2259,217000
2320,259500
1458,176000
1092,139000
1125,155000
3222,320000
1456,163990
988,180000
1123,100000
1080,136000
1199,153900
1586,181000
754,84500
958,128000
840,87000
1348,155000
1053,150000
2157,226000
2054,244000
1327,150750
1296,220000
1721,180000
1682,174000
1214,143000
1959,171000
1852,230000
1764,231500
864,115000
1734,260000
1385,166000
1501,204000
1728,125000
1709,130000
875,105000
2035,222500
1080,141000
1344,115000
969,122000
1710,372402
1993,190000
1252,235000
1200,125000
1096,79000
1040,109500
1968,269500
1947,254900
2462,320000
1232,162500
2668,412500
1541,220000
882,103200
1616,152000
1355,127500
1867,190000
2161,325624
1720,183500
1707,228000
1382,128500
1656,215000
1767,239000
1362,163000
1651,184000
2158,243000
2060,211000
1920,172500
2234,501837
968,100000
1525,177000
1802,200100
1340,120000
2082,200000
1252,127000
3608,475000
1217,173000
1656,135000
1224,153337
1593,286000
2727,315000
1479,184000
1431,192000
1709,130000
864,127000
1456,148500
1726,311872
3112,235000
2229,104000
1713,274900
1121,140000
1279,171500
1310,112000
848,149000
1284,110000
1442,180500
1696,143900
1100,141000
2062,277000
1092,145000
864,98000
1212,186000
1852,252678
990,156000
1392,161750
1236,134450
1436,210000
1328,107000
1954,311500
1248,167240
1498,204900
2267,200000
1552,179900
864,97000
2392,386250
1302,112000
2520,290000
987,106000
912,125000
1555,192500
1194,148000
2794,403000
987,94500
894,128200
1960,216500
987,89500
1414,185500
1744,194500
1694,318000
1487,113000
1566,262500
866,110500
1440,79000
1217,120000
2110,205000
1872,241500
1928,137000
1375,140000
1668,180000
2144,277000
1306,76500
1625,235000
1640,173000
1302,158000
1314,145000
2291,230000
1728,207500
1604,220000
1792,231500
882,97000
1382,176000
2574,276000
1212,151000
1316,130000
764,73000
1422,175500
1511,185000
2192,179500
778,120500
1113,148000
1939,266000
1363,241500
2270,290000
1632,139000
816,124500
1548,205000
1560,201000
864,141000
2121,415298
2022,192000
1982,228500
1262,185000
1314,207500
1468,244600
1575,179200
1250,164700
1734,159000
858,88000
900,122000
1396,153575
1919,233230
1716,135900
1716,131000
2263,235000
1644,167000
1003,142500
1558,152000
1950,239000
1743,175000
1152,158500
1336,157000
2452,267000
1541,205000
894,149900
3493,295000
2000,305900
2243,225000
1406,89500
861,82500
1944,360000
1501,165600
972,132000
1118,119900
2036,375000
1641,178000
1432,188500
2353,260000
1959,270000
2646,260000
1472,187500
2596,342643
2468,354000
2730,301000
1163,126175
2978,242000
803,87000
1719,324000
1383,145250
2134,214500
1192,78000
1728,119000
1056,139000
1629,284000
1358,207000
1638,192000
1786,228950
1922,377426
1536,214000
1621,202500
1215,155000
1908,202900
841,82000
1040,87500
1684,266000
1112,85000
1577,140200
958,151500
1478,157500
1626,154000
2728,437154
1869,318061
1453,190000
1111,95000
720,105900
1595,140000
1200,177500
1167,173000
1142,134000
1352,130000
1924,280000
912,156000
1505,145000
1922,198500
987,118000
1574,190000
1344,147000
1394,159000
1431,165000
1268,132000
1287,162000
1664,172400
1588,134432
752,125000
1319,123000
1928,219500
904,61000
914,148000
2466,340000
1856,394432
1800,179000
1691,127000
1301,187750
1797,213500
784,76000
1953,240000
1269,192000
1184,81000
1125,125000
1479,191000
2332,426000
1367,119000
1961,215000
882,106500
788,100000
1034,109000
1144,129000
894,123000
1812,169500
1077,67000
1550,241000
1288,245500
1310,164990
672,108000
2263,258000
1572,168000
1620,150000
1639,115000
1680,177000
2172,280000
2078,339750
1276,60000
1056,145000
1478,222000
1028,115000
2097,228000
1340,181134
1400,149500
2624,239000
1134,126000
1056,142000
1344,206300
1602,215000
988,113000
2630,315000
1196,139000
1389,135000
1644,275000
907,109008
1208,195400
1412,175000
987,85400
1198,79900
1365,122500
1604,181000
630,81000
1661,212000
1118,116000
904,119000
694,90350
1196,110000
2402,555000
1440,118000
1573,162900
1258,172500
1908,210000
1689,127500
1888,190000
1886,199900
1376,119500
1183,120000
813,110000
1533,280000
1756,204000
1590,210000
1728,188000
1242,175500
1344,98000
1663,256000
1666,161000
1203,110000
1935,263435
1135,155000
864,62383
1660,188700
1040,124000
1414,178740
1277,167000
1644,146500
1634,250000
1710,187000
1502,212000
1969,190000
1072,148000
1976,440000
1652,251000
970,132500
1493,208900
2643,380000
1718,297000
1131,89471
1850,326000
1792,374000
1826,155000
1216,164000
999,132500
1113,147000
1073,156000
1484,175000
2414,160000
630,86000
1304,115000
1578,133000
1456,172785
1269,155000
886,91300
720,34900
3228,430000
1820,184000
899,130000
912,120000
1218,113000
1768,226700
1214,140000
1801,289000
1322,147000
1960,124500
1911,215000
1218,208300
1378,161000
1041,124500
1363,164900
1368,202665
864,129900
1080,134000
789,96500
2020,402861
2119,158000
2344,265000
1796,211000
2080,234000
1294,106250
1244,150000
1664,159000
4676,184750
2398,315750
1266,176000
928,132000
2713,446261
605,86000
2515,200624
1509,175000
1362,128000
827,107500
334,39300
1414,178000
1347,107500
1724,188000
864,111250
1159,158000
1601,272000
1838,315000
2285,248000
1680,213250
767,133000
1496,179665
2183,229000
1635,210000
768,129500
825,125000
2094,263000
1069,140000
928,112500
1717,255500
1126,108000
2046,284000
1048,113000
1092,141000
1336,108000
1446,175000
1557,234000
1392,121500
1389,170000
996,108000
1674,185000
2295,268000
1647,128000
2504,325000
1535,214000
2132,316600
943,135960
1728,142600
864,120000
1692,224500
1430,170000
1109,139000
1216,118500
1477,145000
1320,164500
1392,146000
1795,131500
1429,181900
2042,253293
816,118500
2775,325000
1573,133000
2028,369900
838,130000
860,137000
1473,143000
935,79500
1582,185900
2296,451950
816,138000
848,140000
924,110000
1826,319000
1368,114504
1402,194201
1647,217500
1556,151000
1904,275000
1375,141000
1915,220000
1200,151000
1494,221000
1986,205000
1040,152000
2008,225000
3194,359100
1029,118500
2153,313000
1032,148000
1872,261500
1120,147000
630,75500
1054,137500
1509,183200
832,105500
1828,314813
2262,305000
864,67000
2614,240000
980,135000
1512,168500
1790,165150
1116,160000
1422,139900
1520,153000
2080,135000
1350,168500
1750,124000
1554,209500
1411,82500
1056,139400
1056,144000
3395,200000
800,60000
1387,93000
796,85000
1567,264561
1518,274000
1929,226000
2704,345000
1620,152000
1766,370878
981,143250
1048,98300
1094,155000
1839,155000
630,84500
1665,205950
1510,108000
1716,191000
1469,135000
2113,350000
1092,88000
1053,145500
1502,149000
1458,97500
1486,167000
1935,197900
2448,402000
1392,110000
1181,137500
2097,423000
1936,230500
2380,129000
1679,193500
1437,168000
1180,137500
1476,173500
1369,103600
1208,165000
1839,257500
1136,140000
1441,148500
1774,87000
792,109500
2046,372500
988,128500
923,143000
1520,159434
1291,173000
1668,285000
1839,221000
2090,207500
1761,227875
1102,148800
1419,392000
1362,194700
848,141000
4316,755000
2519,335000
1073,108480
1539,141500
1137,176000
616,89000
1148,123500
894,138500
1391,196000
1800,312500
1164,140000
2576,361919
1812,140000
1484,213000
1092,55000
1824,302000
1324,254000
1456,179540
904,109900
729,52000
1178,102776
1228,189000
960,129000
1479,130500
1350,165000
2554,159500
1178,157000
2418,341000
971,128500
1742,275000
848,143000
864,124500
1470,135000
1698,320000
864,120500
1680,222000
1232,194500
1776,110000
1208,103000
1616,236500
1146,187500
2031,222500
1144,131400
948,108000
1768,163000
1040,93500
1801,239900
1200,179000
1728,190000
1432,132000
912,142000
1349,179000
1464,175000
1337,180000
2715,299800
2256,236000
2640,265979
1720,260400
1529,98000
1140,96500
1320,162000
1494,217000
2098,275500
1026,156000
1471,172500
1768,212000
1386,158900
1501,179400
2531,290000
864,127500
1301,100000
1547,215200
2365,337000
1494,270000
1506,264132
1714,196500
1750,160000
1836,216837
3279,538000
858,134900
1220,102000
1117,107000
912,114500
1973,395000
1204,162000
1614,221500
894,142500
2020,144000
1004,135000
1253,176000
1603,175900
1430,187100
1110,165500
1484,128000
1342,161500
1652,139000
2084,233000
901,107900
2087,187500
1145,160200
1062,146800
2013,269790
1496,225000
1895,194500
1564,171000
1285,143500
773,110000
3140,485000
1768,175000
1688,200000
1196,109900
1456,189000
2822,582933
1128,118000
1428,227680
980,135500
1576,223500
1086,159950
2138,106000
1309,181000
848,144500
1044,55993
1442,157900
1250,116000
1661,224900
1008,137000
1689,271000
1052,155000
1358,224000
1640,183000
936,93000
1733,225000
1489,139500
1489,232600
2084,385000
784,109500
1434,189000
2126,185000
1223,147400
1392,166000
1200,151000
1829,237000
1516,167000
1144,139950
1067,128000
1559,153500
987,100000
1099,144000
1200,130500
1482,140000
1539,157500
1165,174900
1800,141000
1416,153900
1701,171000
1775,213000
864,133500
2358,240000
1855,187000
848,131500
1456,215000
1646,164000
1445,158000
1779,170000
1040,127000
1026,147000
1481,174000
1370,152000
2654,250000
1426,189950
1039,131500
1097,152000
1148,132500
1372,250580
1002,148500
1646,248900
1120,129000
2320,169000
1949,236000
894,109500
1682,200500
910,116000
1268,133000
1131,66500
2610,303477
1040,132250
2224,350000
1155,148000
864,136500
1090,157000
1717,187500
1593,178000
2230,118500
892,100000
1709,328900
1712,145000
1393,135500
2217,268000
1505,149500
924,122900
1683,172500
1068,154500
1383,165000
1535,118858
1796,140000
951,106500
2240,142953
2364,611657
1236,135000
858,110000
1306,153000
1509,180000
1670,240000
902,125500
1063,128000
1636,255000
2057,250000
902,131000
1484,174000
2274,154300
1268,143500
1015,88000
2002,145000
1224,173733
1092,75000
480,35311
1229,135000
2127,238000
1414,176500
1721,201000
2200,145900
1316,169990
1617,193000
1686,207500
1126,175000
2374,285000
1978,176000
1788,236500
2236,222000
1466,201000
925,117500
1905,320000
1500,190000
2069,242000
747,79900
1200,184900
1971,253000
1962,239799
2403,244400
1728,150900
2060,214000
1440,150000
1632,143000
1344,137500
1869,124900
1144,143000
1629,270000
1776,192500
1381,197500
864,129000
965,119900
768,133900
1968,172000
980,127500
1958,145000
1229,124000
1057,132000
1337,185000
1416,155000
858,116500
2872,272000
1548,155000
1800,239000
1894,214900
1484,178900
1308,160000
1098,135000
968,37900
1095,140000
1192,135000
1626,173000
918,99500
1428,182000
2019,167500
1382,165000
869,85500
1241,199900
894,110000
1121,139000
999,178400
2612,336000
1266,159895
2290,255900
1734,126000
1164,125000
1635,117000
1940,395192
2030,195000
1576,197000
2392,348000
1742,168000
1851,187000
1500,173900
1718,337500
1230,121600
1050,136500
1442,185000
1077,91000
1208,206000
944,82000
691,86000
1574,232000
1680,136905
1504,181000
985,149900
1657,163500
1092,88000
1710,240000
1522,102000
1271,135000
1664,100000
1502,165000
1022,85000
1082,119200
1665,227000
1504,203000
1360,187500
1472,160000
1506,213490
1132,176000
1220,194000
1248,87000
1504,191000
2898,287000
882,112500
1264,167500
1646,293077
1376,105000
1218,118000
1928,160000
3082,197000
2520,310000
1654,230000
954,119750
845,84000
1620,315500
2263,287000
1344,97000
630,80000
1803,155000
1632,173000
1306,196000
2329,262280
2524,278000
1733,139600
2868,556581
990,145000
1771,115000
930,84900
1302,176485
1316,200141
1977,165000
1526,144500
1989,255000
1523,180000
1364,185850
1850,248000
2184,335000
1991,220000
1338,213500
894,81000
2337,90000
1103,110500
1154,154000
2260,328000
1571,178000
1611,167900
2521,151400
893,135000
1048,135000
1556,154000
1456,91500
1426,159500
1240,194000
1740,219500
1466,170000
1096,138800
848,155900
990,126000
1258,145000
1040,133000
1459,192000
1251,160000
1498,187500
996,147000
1092,83500
1953,252000
1709,137500
1247,197000
1040,92900
1252,160000
1694,136500
1200,146000
936,129000
1314,176432
1355,127000
1088,170000
1324,128000
1601,157000
438,60000
950,119500
1134,135000
1194,159500
1302,106000
2622,325000
1442,179900
2021,274725
1690,181000
1836,280000
1658,188000
1964,205000
816,129900
1008,134500
833,117000
1734,318000
1419,184100
894,130000
1601,140000
1040,133700
1012,118400
1552,212900
960,112000
698,118000
1482,163900
1005,115000
1555,174000
1530,259000
1959,215000
936,140000
1981,135000
974,93500
2210,117500
2020,239500
1600,169000
986,102000
1252,119000
1020,94000
1567,196000
1167,144000
952,139000
1868,197500
2828,424870
1006,80000
924,80000
1576,149000
1298,180000
1564,174500
1111,116900
1482,143000
932,124000
1466,149900
1811,230000
816,120500
1820,201800
1437,218000
1265,179900
1314,230000
1580,235128
1876,185000
1456,146000
1640,224000
894,129000
1258,108959
1432,194000
1502,233170
1694,245350
1671,173000
2108,235000
3627,625000
1118,171000
1261,163000
1250,171900
3086,200500
2345,239000
2872,285000
923,119500
1224,115000
1343,154900
1124,93000
2514,250000
1652,392500
4476,745000
1130,120000
1572,186700
1221,104900
1699,95000
1624,262000
1660,195000
1804,189000
1622,168000
1441,174000
1472,125000
1224,165000
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================================================
FILE: Examples/7_D3_scatterplot/scatterplot_lib.js
================================================
function scatter(div_id, data){
// Code adapted from https://www.d3-graph-gallery.com/graph/scatter_animation_start.html
// Dataset https://raw.githubusercontent.com/holtzy/data_to_viz/master/Example_dataset/2_TwoNum.csv
// set the dimensions and margins of the graph
var margin = {top: 10, right: 30, bottom: 30, left: 60},
width = 460 - margin.left - margin.right,
height = 400 - margin.top - margin.bottom;
// append the svg object to the body of the page
var svg = d3.select(div_id)
.append("svg")
.attr("width", width + margin.left + margin.right)
.attr("height", height + margin.top + margin.bottom)
.append("g")
.attr("transform",
"translate(" + margin.left + "," + margin.top + ")")
// Add X axis
var x = d3.scale.linear()
.domain([0, 0])
.range([ 0, width ]);
svg.append("g")
.attr("class", "myXaxis axis") // Note that here we give a class to the X axis, to be able to call it later and modify it
.attr("transform", "translate(0," + height + ")")
.call(d3.svg.axis().scale(x))
.attr("opacity", "0")
// Add Y axis
var y = d3.scale.linear()
.domain([0, 500000])
.range([ height, 0]);
svg.append("g")
.attr("class", "axis")
.call(d3.svg.axis()
.orient('left')
.scale(y));
// Add dots
svg.append('g')
.selectAll("dot")
.data(data)
.enter()
.append("circle")
.attr("cx", function (d) { return x(d.GrLivArea); } )
.attr("cy", function (d) { return y(d.SalePrice); } )
.attr("r", 1.5)
.style("fill", "#69b3a2")
// new X axis
x.domain([0, 4000])
svg.select(".myXaxis")
.transition()
.duration(2000)
.attr("opacity", "1")
.call(d3.svg.axis().scale(x));
svg.selectAll("circle")
.transition()
.delay(function(d,i){return(i*3)})
.duration(2000)
.attr("cx", function (d) { return x(d.GrLivArea); } )
.attr("cy", function (d) { return y(d.SalePrice); } )
}
================================================
FILE: Images/notebookJS.ai
================================================
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gitextract_k0oa75uh/ ├── .gitignore ├── Examples/ │ ├── 1_HelloWorld/ │ │ └── HelloWorld.ipynb │ ├── 2_SimpleD3_Circle/ │ │ ├── SimpleD3_Circle.ipynb │ │ └── draw_circle_lib.js │ ├── 3_RadialBarChart/ │ │ ├── RadialBarChart.ipynb │ │ ├── energy.csv │ │ ├── radial_bar.css │ │ └── radial_bar_lib.js │ ├── 4_Bidirectional_Comm/ │ │ ├── Bar_Chart_Bidirectional_Comm.ipynb │ │ └── bar_chart_lib.js │ ├── 5_Webpack_BaseballAnnotator_Bidirectional/ │ │ ├── BaseballAnnotator.ipynb │ │ └── BaseballVisualizer/ │ │ ├── js/ │ │ │ ├── DraggableTimeline.js │ │ │ ├── PlayDiagram.js │ │ │ ├── TrajectoryAnnotator.js │ │ │ ├── helpers.js │ │ │ └── index.js │ │ ├── package.json │ │ ├── play_annotated.csv │ │ └── webpack.config.js │ ├── 6_HelloWorld_Bidirectional/ │ │ └── HelloWorld_Bidirectional.ipynb │ └── 7_D3_scatterplot/ │ ├── D3_Scatter.ipynb │ ├── Prices.csv │ └── scatterplot_lib.js ├── Images/ │ └── notebookJS.ai ├── LICENSE ├── MANIFEST.in ├── README.md ├── notebookjs/ │ ├── __init__.py │ ├── _comm.py │ ├── _display.py │ └── resources/ │ ├── CommAPI.js │ └── template.html └── setup.py
SYMBOL INDEX (35 symbols across 12 files)
FILE: Examples/2_SimpleD3_Circle/draw_circle_lib.js
function draw_circle (line 1) | function draw_circle(id, data){
FILE: Examples/3_RadialBarChart/radial_bar_lib.js
function radial_bar (line 1) | function radial_bar(div_id, data){
FILE: Examples/4_Bidirectional_Comm/bar_chart_lib.js
function bar_chart (line 1) | function bar_chart(div_id, data_dict){
FILE: Examples/5_Webpack_BaseballAnnotator_Bidirectional/BaseballVisualizer/js/DraggableTimeline.js
class DraggableTimeline (line 7) | class DraggableTimeline extends React.Component {
method shouldComponentUpdate (line 8) | shouldComponentUpdate(nextProps, nextState) {
method render (line 15) | render () {
FILE: Examples/5_Webpack_BaseballAnnotator_Bidirectional/BaseballVisualizer/js/PlayDiagram.js
class PlayDiagram (line 8) | class PlayDiagram extends Component {
method render (line 9) | render() {
FILE: Examples/5_Webpack_BaseballAnnotator_Bidirectional/BaseballVisualizer/js/TrajectoryAnnotator.js
function submitTrajectoryToServer (line 10) | function submitTrajectoryToServer(tracking){
function convertRawTrackingToTrajectory (line 18) | function convertRawTrackingToTrajectory(rawTracking) {
class TrajectoryAnnotator (line 36) | class TrajectoryAnnotator extends Component {
method constructor (line 37) | constructor(props){
method clickPlayDiagram (line 48) | clickPlayDiagram(position) {
method render (line 65) | render() {
FILE: Examples/5_Webpack_BaseballAnnotator_Bidirectional/BaseballVisualizer/js/helpers.js
function mapFieldSVGX (line 30) | function mapFieldSVGX(x){
function mapFieldSVGY (line 35) | function mapFieldSVGY(y){
function mapFieldSVG (line 40) | function mapFieldSVG([x, y]){
function mapSVGField (line 46) | function mapSVGField([x2, y2]){
function interpolatePositions (line 52) | function interpolatePositions(tQuery, positions) {
function convert_data_format (line 73) | function convert_data_format(tracking){
FILE: Examples/5_Webpack_BaseballAnnotator_Bidirectional/BaseballVisualizer/js/index.js
function renderBaseballAnnotator (line 6) | function renderBaseballAnnotator(divName, data){
FILE: Examples/7_D3_scatterplot/scatterplot_lib.js
function scatter (line 1) | function scatter(div_id, data){
FILE: notebookjs/_comm.py
function setup_comm_colab (line 5) | def setup_comm_colab(api_call_id, callback):
function setup_comm_jupyter (line 13) | def setup_comm_jupyter(api_call_id, callback):
function setup_comm_api (line 22) | def setup_comm_api(api_call_id, callback):
FILE: notebookjs/_display.py
function id_generator (line 9) | def id_generator(size=15):
function make_html (line 14) | def make_html(library_list, main_function, parameter_dict, css_list):
function check_url (line 62) | def check_url(string):
function download_url (line 66) | def download_url(url):
function save_html (line 75) | def save_html(html_dest, library_list, main_function, data_dict = {}, ca...
function execute_js (line 103) | def execute_js(library_list, main_function, data_dict = {}, callbacks = ...
FILE: notebookjs/resources/CommAPI.js
constant COMM_TYPES (line 1) | const COMM_TYPES = {
class CommAPI (line 6) | class CommAPI{
method constructor (line 7) | constructor(api_call_id, callback) {
method call (line 31) | call(msg) {
Condensed preview — 33 files, each showing path, character count, and a content snippet. Download the .json file or copy for the full structured content (334K chars).
[
{
"path": ".gitignore",
"chars": 76,
"preview": "*.egg-info\n.DS_Store\n__pycache__\nbuild\ndist\nnode_modules\n.ipynb_checkpoints\n"
},
{
"path": "Examples/1_HelloWorld/HelloWorld.ipynb",
"chars": 1478,
"preview": "{\n \"cells\": [\n {\n \"cell_type\": \"markdown\",\n \"metadata\": {},\n \"source\": [\n \"# Hello World\\n\",\n \"\\n\",\n \"Ad"
},
{
"path": "Examples/2_SimpleD3_Circle/SimpleD3_Circle.ipynb",
"chars": 2434,
"preview": "{\n \"cells\": [\n {\n \"cell_type\": \"markdown\",\n \"metadata\": {},\n \"source\": [\n \"# Simple D3 Circle\\n\",\n \"\\n\",\n "
},
{
"path": "Examples/2_SimpleD3_Circle/draw_circle_lib.js",
"chars": 206,
"preview": "function draw_circle(id, data){\n d3.select(id)\n .append(\"div\")\n .style(\"width\", \"50px\")\n .style(\"height\", \"5"
},
{
"path": "Examples/3_RadialBarChart/RadialBarChart.ipynb",
"chars": 2211,
"preview": "{\n \"cells\": [\n {\n \"cell_type\": \"markdown\",\n \"metadata\": {},\n \"source\": [\n \"# Radial Bar Chart\\n\",\n \"\\n\",\n "
},
{
"path": "Examples/3_RadialBarChart/energy.csv",
"chars": 50,
"preview": "name,value\nJan,432\nFeb,340\nMar,382\nApr,398\nMay,410"
},
{
"path": "Examples/3_RadialBarChart/radial_bar.css",
"chars": 488,
"preview": "body {\n font: 12px sans-serif;\n}\n\nsvg {\n margin: 0px auto;\n display: block;\n}\n\npath.arc {\n opacity: 0.9;\n transitio"
},
{
"path": "Examples/3_RadialBarChart/radial_bar_lib.js",
"chars": 3475,
"preview": "function radial_bar(div_id, data){\n // Radial Bar Chart\n \n // Code adapted from: https://bl.ocks.org/AntonOrlov"
},
{
"path": "Examples/4_Bidirectional_Comm/Bar_Chart_Bidirectional_Comm.ipynb",
"chars": 2924,
"preview": "{\n \"cells\": [\n {\n \"cell_type\": \"markdown\",\n \"metadata\": {},\n \"source\": [\n \"# Bar chart example with bidirectio"
},
{
"path": "Examples/4_Bidirectional_Comm/bar_chart_lib.js",
"chars": 716,
"preview": "function bar_chart(div_id, data_dict){\n const data = data_dict.array;\n const div = d3.select(div_id)\n const hei"
},
{
"path": "Examples/5_Webpack_BaseballAnnotator_Bidirectional/BaseballAnnotator.ipynb",
"chars": 3986,
"preview": "{\n \"cells\": [\n {\n \"cell_type\": \"markdown\",\n \"metadata\": {},\n \"source\": [\n \"# Baseball Visualizer and Annotator"
},
{
"path": "Examples/5_Webpack_BaseballAnnotator_Bidirectional/BaseballVisualizer/js/DraggableTimeline.js",
"chars": 1671,
"preview": "import React from \"react\";\nimport PropTypes from 'prop-types';\nimport * as d3 from 'd3';\nimport Slider from 'rc-slider'"
},
{
"path": "Examples/5_Webpack_BaseballAnnotator_Bidirectional/BaseballVisualizer/js/PlayDiagram.js",
"chars": 3248,
"preview": "import React, { Component } from 'react';\nimport PropTypes from \"prop-types\";\nimport { mapFieldSVG, mapSVGField, constan"
},
{
"path": "Examples/5_Webpack_BaseballAnnotator_Bidirectional/BaseballVisualizer/js/TrajectoryAnnotator.js",
"chars": 3933,
"preview": "import React, { Component } from 'react';\nimport PlayDiagram from './PlayDiagram';\nimport {interpolatePositions, constan"
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"path": "Examples/5_Webpack_BaseballAnnotator_Bidirectional/BaseballVisualizer/js/helpers.js",
"chars": 2714,
"preview": "import {linear} from 'everpolate';\n\nexport const constants = {\n gameElements: [\"P\", \"B\", \"R@1\", \"R@2\", \"R@3\", \"1B\", \"2B"
},
{
"path": "Examples/5_Webpack_BaseballAnnotator_Bidirectional/BaseballVisualizer/js/index.js",
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"preview": "import React from \"react\";\nimport ReactDOM from \"react-dom\";\nimport { select } from \"d3-selection\";\nimport TrajectoryAnn"
},
{
"path": "Examples/5_Webpack_BaseballAnnotator_Bidirectional/BaseballVisualizer/package.json",
"chars": 1769,
"preview": "{\n \"name\": \"baseballvisualizer\",\n \"version\": \"1.0.0\",\n \"description\": \"library to plot and edit baseball trajectories"
},
{
"path": "Examples/5_Webpack_BaseballAnnotator_Bidirectional/BaseballVisualizer/play_annotated.csv",
"chars": 1704,
"preview": "time_elapsed_sec,P_x,P_y,B_x,B_y,R@1_x,R@1_y,R@2_x,R@2_y,R@3_x,R@3_y,1B_x,1B_y,2B_x,2B_y,3B_x,3B_y,SS_x,SS_y,LF_x,LF_y,C"
},
{
"path": "Examples/5_Webpack_BaseballAnnotator_Bidirectional/BaseballVisualizer/webpack.config.js",
"chars": 928,
"preview": "const config = {\n entry: ['./js/index.js'],\n output: {\n path: __dirname + '/build',\n filename: 'baseballvisualiz"
},
{
"path": "Examples/6_HelloWorld_Bidirectional/HelloWorld_Bidirectional.ipynb",
"chars": 3201,
"preview": "{\n \"cells\": [\n {\n \"cell_type\": \"markdown\",\n \"metadata\": {\n \"id\": \"IaxAGrTGttuV\"\n },\n \"source\": [\n \"# note"
},
{
"path": "Examples/7_D3_scatterplot/D3_Scatter.ipynb",
"chars": 2125,
"preview": "{\n \"cells\": [\n {\n \"cell_type\": \"markdown\",\n \"metadata\": {},\n \"source\": [\n \"# D3 Scatter Plot\"\n ]\n },\n {\n "
},
{
"path": "Examples/7_D3_scatterplot/Prices.csv",
"chars": 17194,
"preview": "GrLivArea,SalePrice\n1710,208500\n1262,181500\n1786,223500\n1717,140000\n2198,250000\n1362,143000\n1694,307000\n2090,200000\n1774"
},
{
"path": "Examples/7_D3_scatterplot/scatterplot_lib.js",
"chars": 2141,
"preview": "function scatter(div_id, data){\n // Code adapted from https://www.d3-graph-gallery.com/graph/scatter_animation_start."
},
{
"path": "Images/notebookJS.ai",
"chars": 144102,
"preview": "%PDF-1.5\r%\r\n1 0 obj\r<</Metadata 2 0 R/OCProperties<</D<</ON[23 0 R]/Order 24 0 R/RBGroups[]>>/OCGs[23 0 R]>>/Pages 3 0 R"
},
{
"path": "LICENSE",
"chars": 1077,
"preview": "MIT License\n\nCopyright (c) 2021 notebookJS Developers\n\nPermission is hereby granted, free of charge, to any person obtai"
},
{
"path": "MANIFEST.in",
"chars": 82,
"preview": "include notebookjs/resources/CommAPI.js\ninclude notebookjs/resources/template.html"
},
{
"path": "README.md",
"chars": 8510,
"preview": "# notebookJS: seamless JavaScript integration in Python Notebooks \n\n[![made-with-python](https://img.shields.io/badge/Ma"
},
{
"path": "notebookjs/__init__.py",
"chars": 43,
"preview": "from ._display import execute_js, save_html"
},
{
"path": "notebookjs/_comm.py",
"chars": 1310,
"preview": "from IPython.core.display import display, HTML, Javascript\nfrom IPython import get_ipython\n\n\ndef setup_comm_colab(api_ca"
},
{
"path": "notebookjs/_display.py",
"chars": 5136,
"preview": "from IPython.core.display import display, HTML, Javascript\nfrom string import Template, ascii_uppercase\nimport pkg_resou"
},
{
"path": "notebookjs/resources/CommAPI.js",
"chars": 1081,
"preview": "const COMM_TYPES = {\n JUPYTER: 'JUPYTER',\n COLAB: 'COLAB'\n};\n\nclass CommAPI{\n constructor(api_call_id, callback) {\n "
},
{
"path": "notebookjs/resources/template.html",
"chars": 272,
"preview": "<html>\n<head>\n<style>\n$css_bundle\n</style>\n</head>\n<body>\n <div id=\"$div_id\">\n </div>\n <script charset=\"utf-8\">"
},
{
"path": "setup.py",
"chars": 847,
"preview": "from setuptools import setup, find_packages\n\nwith open(\"README.md\", \"r\") as fh:\n long_description = fh.read()\n\nsetup("
}
]
About this extraction
This page contains the full source code of the jorgehpo/notebookJS GitHub repository, extracted and formatted as plain text for AI agents and large language models (LLMs). The extraction includes 33 files (216.3 KB), approximately 130.4k tokens, and a symbol index with 35 extracted functions, classes, methods, constants, and types. Use this with OpenClaw, Claude, ChatGPT, Cursor, Windsurf, or any other AI tool that accepts text input. You can copy the full output to your clipboard or download it as a .txt file.
Extracted by GitExtract — free GitHub repo to text converter for AI. Built by Nikandr Surkov.