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 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 (
{this.props.onDragTime(value)}} marks={annotatedPoints} activeDotStyle={{ borderColor: 'steelblue' }} dotStyle={{borderColor: 'steelblue' }} trackStyle={{ backgroundColor: 'steelblue' }} railStyle={{ backgroundColor: 'steelblue' }} width={this.props.width} />
); } } 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( ); if (elem === this.props.annotationElem) { endElems.push(); } else { endElems.push( ); } } }); return ( { 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); }}> {lineElems} {endElems} {ball} ); } } 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 (
Selected Position
{ constants.gameElements.map((elem) => { return }) }
{this.setState({playerHead: time})}} trackingDuration={this.state.trackingDuration} />
); } } 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( , 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 1352,158000 1456,176000 1863,219210 1690,144000 1212,178000 1382,148000 864,116050 1779,197900 1348,117000 1630,213000 1074,153500 2196,271900 1056,107000 1700,200000 1283,140000 1660,290000 1845,189000 1752,164000 672,113000 960,145000 999,134500 894,125000 1902,112000 1314,229456 912,80500 1218,91500 912,115000 1211,134000 1846,143000 2136,137900 1490,184000 1138,145000 1933,214000 912,147000 1702,367294 1507,127000 2620,190000 1190,132500 1224,101800 1188,142000 1964,130000 1784,138887 1626,175500 1948,195000 1141,142500 1484,265900 1768,224900 1689,248328 1173,170000 2076,465000 1517,230000 1868,178000 1553,186500 1034,169900 2058,129500 988,119000 2110,244000 1405,171750 874,130000 2167,294000 1656,165400 1367,127500 1987,301500 864,99900 1166,190000 1054,151000 1675,181000 1050,128900 1788,161500 1824,180500 1337,181000 1452,183900 1889,122000 2018,378500 3447,381000 1524,144000 1524,260000 1489,185750 935,137000 1357,177000 1250,139000 1920,137000 1395,162000 1724,197900 2031,237000 1128,68400 1573,227000 1339,180000 1040,150500 1824,139000 2447,169000 1412,132500 1328,143000 1582,190000 1659,278000 1970,281000 1152,180500 1302,119500 2372,107500 1664,162900 864,115000 1052,138500 1128,155000 1072,140000 5642,160000 1246,154000 1983,225000 1494,177500 2526,290000 1616,232000 1708,130000 1652,325000 1368,202500 990,138000 1122,147000 1294,179200 1902,335000 1274,203000 2810,302000 2599,333168 948,119000 2112,206900 1630,295493 1352,208900 1787,275000 948,111000 1478,156500 720,72500 1923,190000 708,82500 1795,147000 796,55000 774,79000 816,130500 2792,256000 1632,176500 1588,227000 954,132500 816,100000 1360,125500 1365,125000 1334,167900 1656,135000 693,52500 1861,200000 864,128500 872,123000 1114,155000 2169,228500 1913,177000 1456,155835 960,108500 2156,262500 1776,283463 1494,215000 2358,122000 2634,200000 1716,171000 1176,134900 3238,410000 1865,235000 1920,170000 892,110000 1078,149900 1573,177500 1980,315000 2601,189000 1530,260000 1738,104900 1412,156932 1200,144152 1674,216000 1790,193000 1475,127000 848,144000 1668,232000 1374,105000 1661,165500 2097,274300 2633,466500 1958,250000 1571,239000 790,91000 1604,117000 987,83000 1394,167500 864,58500 2117,237500 1762,157000 1416,112000 1258,105000 1154,125500 2784,250000 2526,136000 1746,377500 1218,131000 1525,235000 1584,124000 900,123000 1912,163000 1500,246578 2482,281213 1687,160000 1513,137500 1904,138000 1608,137450 1158,120000 1593,193000 1294,193879 1464,282922 1214,105000 1646,275000 768,133000 833,112000 1363,125500 2093,215000 1840,230000 1668,140000 1040,90000 1844,257000 1848,207000 1569,175900 2290,122500 2450,340000 1144,124000 1844,223000 1416,179900 1069,127500 848,136500 2201,274970 1344,144000 1252,142000 2127,271000 1558,140000 804,119000 1440,182900 1838,192140 958,143750 968,64500 1792,186500 1126,160000 1537,174000 864,120500 1932,394617 1236,149700 1725,197000 2555,191000 848,149300 2007,310000 952,121000 1422,179600 913,129000 1188,157900 2090,240000 1346,112000 630,92000 1792,136000 1578,287090 1072,145000 1140,84500 1221,185000 1647,175000 2073,210000 2340,266500 1078,142125 1256,147500 ================================================ 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); } ) } 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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. ================================================ FILE: MANIFEST.in ================================================ include notebookjs/resources/CommAPI.js include notebookjs/resources/template.html ================================================ FILE: README.md ================================================ # notebookJS: seamless JavaScript integration in Python Notebooks [![made-with-python](https://img.shields.io/badge/Made%20with-Python-1f425f.svg)](https://www.python.org/) [![Open In Collab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1g8WOn9oZ5G_3-Y8DYmpV1MIj59dnd81u?usp=sharing) [![PyPI version](https://badge.fury.io/py/notebookjs.svg)](https://pypi.org/project/notebookjs) *notebookJS* enables the execution of custom JavaScript code in Python Notebooks (Jupyter Notebook and Google Colab). This Python library can be useful for implementing and reusing interactive Data Visualizations in the Notebook environment. *notebookJS* takes care of downloading and handling Javascript libraries and CSS stylesheets from the web. Furthermore, it supports bidirectional communication between Python and JavaScript. User interactions in HTML/JavaScript can trigger Python callbacks that process data on demand and send the results back to the front-end code. Implementation details in [our paper](https://ieeexplore.ieee.org/iel7/5992/9387473/09391750.pdf?casa_token=v05VFeWM3gwAAAAA:ra4uhd2Xpsd6lllS62Woz1IOjaSOZJGGhh4jpF_ZXOlm1Kq4HTBFHJU7Z-Ez6DDQOUE_djlI5Gk). See our [blog post](https://jorgehpo.medium.com/introducing-notebookjs-seamless-integration-between-python-and-javascript-in-computational-e654ec3fbd18). [![ScatterPlot](https://user-images.githubusercontent.com/14821895/114492279-478ae380-9be6-11eb-8750-30ec3a206816.gif)](https://github.com/jorgehpo/notebookJS/tree/main/Examples/7_D3_scatterplot) ## Install To install, run: `pip install notebookjs` Or clone this repository and run: `python setup.py install` ## API ### execute_js This method executes a javascript function and sets up the infrastructure for bidirectional communication between Python and Javascript using callbacks. ```python execute_js( library_list, main_function, data_dict={}, callbacks={}, css_list=[], ) ``` **Parameters** - library_list : list of str. List of strings containing either 1) URL to a javascript library, 2) javascript code, 3) javascript [bundle](https://github.com/jorgehpo/notebookJS/tree/main/Examples/5_Webpack_BaseballAnnotator_Bidirectional) (Plain JS only - No support for ES6 Modules) - main_function : str. Name of the main function to be called. The function will be called with two parameters: , for example "#my_div", and . - data_dict : dict. Dictionary containing the data to be passed to - callbacks : dict. Dictionary of the form { : }. The javascript library can use callbacks to talk to python. - css_list : list of str. List of strings containing either 1) URL to a CSS stylesheet or 2) CSS styles **Main Function** *main_function* is the javascript function that will be run when execute_js is called. It has the following signature: ```Javascript function main_function(div_id, data_dict) ``` **Example of Main Function** As a simple example, we can use D3 to add a circular div to the output cell: ```Javascript function draw_circle(div_id, data){ // Function that draws a circle of color inside the div using D3 d3.select(div_id) .append("div") .style("width", "50px") .style("height", "50px") .style("background-color", data.color) .style("border-radius", "50px") } ``` **Callbacks** *callbacks* contains a dictionary that maps an identifier string to a Python function. Data is passed to/from callbacks using json/dicts. For example, the following callback computes the number to the power of 2. ``` Python def compute_power_2(data){ n = data.n n2 = n**2 return {"power2": n2} } callbacks = { "compute_power_2": compute_power_2 } execute_js(..., callbacks=callbacks) ``` In Javascript, we can call this callback with the class *CommAPI*. *CommAPI* is automatically injected in the Javascript by *notebookJS*. ``` Javascript let comm = new CommAPI("compute_power_2", (ret)=>{alert("The returned value is " + ret.power2)}) comm.call({n: 3}) // An alert will be shown with the message: "The returned value is 9" ``` Jupyter Notebook and Google Colab have different APIs for sending data to/from Javascript/Python. *CommAPI* abstracts the different APIs in a single convenient class. **Warning**: Callbacks between Python and JS are only available in Jupyter and Colab notebooks. Jupyter Lab is not supported currently. ### save_html This method creates a standalone HTML bundle (containing all data, JS and CSS resources) and saves it to disk. It accepts all parameters of execute_js, with the addition of *html_dest*, the path to the output file. For example, *html_dest="./output.html"* ```python save_html(, html_dest, library_list, main_function, data_dict={}, callbacks=None, css_list=[], ) ``` **Warning:** callbacks do not work in standalone HTML files. This parameter only exists to make *execute_js* and *save_html* interoperable. ## Examples ### Hello World - Python Callbacks In this example, we show how to display "hello world" in multiple languages using Javascript and Python. The Javascript is responsible for updating the front end and requesting a new message from Python. Python returns a random message every time the callback is invoked. ![Hello World Output Gif](https://user-images.githubusercontent.com/14821895/114482788-2d94d500-9bd5-11eb-9ec3-7ee5c5d62a86.gif) **Javascript to update the div with a hello world message** ```Python helloworld_js = """ function helloworld(div_id, data){ comm = new CommAPI("get_hello", (ret) => { document.querySelector(div_id).textContent = ret.text; }); setInterval(() => {comm.call({})}, 1000); comm.call({}); } """ ``` **Defining the Python Callback** ```Python import random def hello_world_random(data): hello_world_languages = [ "Ola Mundo", # Portuguese "Hello World", # English "Hola Mundo", # Spanish "Geiá sou Kósme", # Greek "Kon'nichiwa sekai", # Japanese "Hallo Welt", # German "Namaste duniya", # Hindi "Ni hao, shijiè" # Chinese ] i = random.randint(0, len(hello_world_languages)-1) return {'text': hello_world_languages[i]} ``` **Invoking the function helloworld in notebook** ```Python from notebookjs import execute_js execute_js(helloworld_js, "helloworld", callbacks={"get_hello": hello_world_random}) ``` See this [colab notebook](https://colab.research.google.com/drive/1g8WOn9oZ5G_3-Y8DYmpV1MIj59dnd81u?usp=sharing) for a live demo. ### Radial Bar Chart - Running D3 code in the Notebook Plotting a Radial Bar Chart with data loaded from Python. Adapted from this [bl.ock](https://bl.ocks.org/AntonOrlov/6b42d8676943cc933f48a43a7c7e5b6c). See [Examples/3_RadialBarChart](https://github.com/jorgehpo/notebookJS/blob/main/Examples/3_RadialBarChart/). ```Python # Loading libraries d3_lib_url = "https://d3js.org/d3.v3.min.js" with open("radial_bar.css", "r") as f: radial_bar_css = f.read() with open ("radial_bar_lib.js", "r") as f: radial_bar_lib = f.read() # Loading data import pandas as pd energy = pd.read_csv("energy.csv") # Plotting the Radial Bar Chart from notebookjs import execute_js execute_js(library_list=[d3_lib_url, radial_bar_lib], main_function="radial_bar", data_dict=energy.to_dict(orient="records"), css_list=[radial_bar_css]) ``` ![Radial Bar Chart](https://user-images.githubusercontent.com/14821895/114483438-536ea980-9bd6-11eb-8502-77f7a8864322.gif) ### More examples Please see the [Examples/](https://github.com/jorgehpo/notebookJS/blob/main/Examples/) folder for more examples. ## Reference If you use *notebookJS*, please reference our related work: "*Interactive Data Visualization in Jupyter Notebooks*. JP Ono, J Freire, CT Silva - Computing in Science & Engineering, 2021" Bibtex: ``` @article{ono2021interactive, title={Interactive Data Visualization in Jupyter Notebooks}, author={Ono, Jorge Piazentin and Freire, Juliana and Silva, Claudio T}, journal={Computing in Science \& Engineering}, volume={23}, number={2}, pages={99--106}, year={2021}, publisher={IEEE} } ``` ================================================ FILE: notebookjs/__init__.py ================================================ from ._display import execute_js, save_html ================================================ FILE: notebookjs/_comm.py ================================================ from IPython.core.display import display, HTML, Javascript from IPython import get_ipython def setup_comm_colab(api_call_id, callback): """Function that connects javascript call with a Colab Notebook""" from google.colab import output from IPython import display def _recv(msg): return display.JSON(callback(msg)) # Use display.JSON to transfer an object output.register_callback(api_call_id, _recv) def setup_comm_jupyter(api_call_id, callback): """Function that connects javascript call with a Jupyter Notebook""" def _comm_api(comm, open_msg): @comm.on_msg def _recv(msg): ret = callback(msg['content']['data']) comm.send(ret) get_ipython().kernel.comm_manager.register_target(api_call_id, _comm_api) def setup_comm_api(api_call_id, callback): """Function that abstracts notebook connection (Jupyter or Colab) to javascript""" try: jupyter_setup = True setup_comm_jupyter(api_call_id, callback) except Exception: jupyter_setup = False try: colab_setup = True setup_comm_colab(api_call_id, callback) except Exception: colab_setup = False if not jupyter_setup and not colab_setup: print("Error: Cannot find Jupyter/Colab namespace for Python") ================================================ FILE: notebookjs/_display.py ================================================ from IPython.core.display import display, HTML, Javascript from string import Template, ascii_uppercase import pkg_resources import random import re import json from ._comm import setup_comm_api def id_generator(size=15): """Helper function to generate random div ids.""" chars = list(ascii_uppercase) return ''.join(random.choice(chars) for i in range(size)) def make_html(library_list, main_function, parameter_dict, css_list): """Makes the HTML that will be added to the Notebook""" # Loading Python CommAPI comm_api_path = pkg_resources.resource_filename(__name__, "resources/CommAPI.js") with open(comm_api_path, "r") as f: comm_api_js = f.read() # Making sure library_list and css_list are lists. if type(library_list) is not list: library_list = [library_list] if type(css_list) is not list: css_list = [css_list] # Downloading web resources for idx in range(len(library_list)): if check_url(library_list[idx]): library_list[idx] = download_url(library_list[idx]) for idx in range(len(css_list)): if check_url(css_list[idx]): css_list[idx] = download_url(css_list[idx]) # Adding CommAPI to library_list library_list.insert(0, comm_api_js) # Generating HTML div_id = id_generator() library_bundle = '\n\n'.join(library_list) css_bundle = '\n'.join(css_list) template_path = pkg_resources.resource_filename(__name__, "resources/template.html") with open(template_path, "r") as f: html_all_template = f.read() html_all_template = Template(html_all_template) return html_all_template.substitute(div_id=div_id, library_bundle=library_bundle, main_function=main_function, parameter_dict=json.dumps(parameter_dict), css_bundle=css_bundle) # Regex expression to test if a string is a URL regex_url = re.compile( r'^(?:http|ftp)s?://' # http:// or https:// r'(?:(?:[A-Z0-9](?:[A-Z0-9-]{0,61}[A-Z0-9])?\.)+(?:[A-Z]{2,6}\.?|[A-Z0-9-]{2,}\.?)|' #domain... r'localhost|' #localhost... r'\d{1,3}\.\d{1,3}\.\d{1,3}\.\d{1,3})' # ...or ip r'(?::\d+)?' # optional port r'(?:/?|[/?]\S+)$', re.IGNORECASE) def check_url(string): """Checks if the string argument is a URL""" return re.match(regex_url, string) is not None def download_url(url): """Downloads a URL file as a browser.""" import requests headers = {'User-Agent': 'Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:78.0) Gecko/20100101 Firefox/78.0'} r = requests.get(url, headers=headers, stream=False) return r.content.decode("utf-8") def save_html(html_dest, library_list, main_function, data_dict = {}, callbacks = None, css_list=[]): """Saves the bundled code (output of execute_js) to an HTML file Parameters ---------- html_dest : str Path to the output HTML dest file. Example: "./output.html" library_list : list of str List of strings containing either 1) URL to a javascript library, 2) javascript code main_function : str Name of the main function to be called. The function will be called with two parameters: , for example "#my_div", and . data_dict : dict Dictionary containing the data to be passed to callbacks : dict Dictionary of the form { : }. The javascript library can use callbacks to talk to python. css_list : list of str List of strings containing either 1) URL to a CSS stylesheet or 2) CSS styles """ if callbacks is not None: print ("Warning: Python callbacks do not work in standalone HTML file.") print ("Saving file...") html_all = make_html(library_list, main_function, data_dict, css_list) with open(html_dest, "w") as f: f.write(html_all) def execute_js(library_list, main_function, data_dict = {}, callbacks = {}, css_list=[]): """Executes a javascript function that can add content to an output div Parameters ---------- library_list : list of str List of strings containing either 1) URL to a javascript library, 2) javascript code main_function : str Name of the main function to be called. The function will be called with two parameters: , for example "#my_div", and . data_dict : dict Dictionary containing the data to be passed to callbacks : dict Dictionary of the form { : }. The javascript library can use callbacks to talk to python. css_list : list of str List of strings containing either 1) URL to a CSS stylesheet or 2) CSS styles """ html_all = make_html(library_list, main_function, data_dict, css_list) for callback_id in callbacks.keys(): setup_comm_api(callback_id, callbacks[callback_id]) display(HTML(html_all)) ================================================ FILE: notebookjs/resources/CommAPI.js ================================================ const COMM_TYPES = { JUPYTER: 'JUPYTER', COLAB: 'COLAB' }; class CommAPI{ constructor(api_call_id, callback) { this.callback = callback; this.mode = null; if (window.Jupyter !== undefined) { this.mode = COMM_TYPES.JUPYTER; this.comm = window.Jupyter.notebook.kernel.comm_manager.new_comm(api_call_id, {}); this.comm.on_msg(msg => { const data = msg.content.data; callback(data); }); } else if (window.google !== undefined) { this.mode = COMM_TYPES.COLAB; this.comm = async function(msg){ const result = await google.colab.kernel.invokeFunction( api_call_id, [msg], // The argument {}); // kwargs callback(result.data['application/json']); }; } else { console.error(new Error("Cannot find Jupyter/Colab namespace from javascript")); } } call(msg) { if (this.comm){ if (this.mode === COMM_TYPES.JUPYTER){ this.comm.send(msg); } else if (this.mode === COMM_TYPES.COLAB){ this.comm(msg); } } } } ================================================ FILE: notebookjs/resources/template.html ================================================

================================================ FILE: setup.py ================================================ from setuptools import setup, find_packages with open("README.md", "r") as fh: long_description = fh.read() setup( name="notebookjs", version="0.1.4", author="Jorge Piazentin Ono, Juliana Freire, Claudio Silva", author_email="jorgehpo@nyu.edu", description="notebookJS library - Seamless JavaScript integration in Python Notebooks", long_description=long_description, long_description_content_type="text/markdown", url="https://github.com/jorgehpo/notebookJS", packages=find_packages(exclude=['resources']), include_package_data=True, license="MIT", classifiers=[ "Programming Language :: Python :: 3", "License :: OSI Approved :: MIT License", "Operating System :: OS Independent", ], python_requires='>=3.6', install_requires=[ "notebook" ] )