Created
May 25, 2023 17:38
-
-
Save derrickturk/6ac2ea5f9b2204c2cfa49153cd355eb2 to your computer and use it in GitHub Desktop.
Pyodide + NumPy in the browser demo
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| "use strict"; | |
| const input = [1.0, 2.0, 3.0, 4.0, 5.0]; | |
| const code = document.getElementById('code'); | |
| const output = document.getElementById('output'); | |
| let timeoutId; | |
| async function init() { | |
| let pyodide = await loadPyodide(); | |
| await pyodide.loadPackage('numpy'); | |
| return pyodide; | |
| } | |
| let pyodideP = init(); | |
| function showResult(result) { | |
| output.className = 'good'; | |
| output.innerText = 'output = ' + result.toString(); | |
| } | |
| function showError(error) { | |
| output.className = 'bad'; | |
| output.innerText = 'Error: ' + error.toString(); | |
| } | |
| async function evaluate() { | |
| let pyodide = await pyodideP; | |
| pyodide.globals.set('input', input); | |
| try { | |
| pyodide.runPython(code.value); | |
| let result = pyodide.globals.get('output').toJs(); | |
| showResult(result); | |
| } catch (e) { | |
| showError(e); | |
| } | |
| } | |
| function onCodeChange() { | |
| if (timeoutId !== undefined) { | |
| clearTimeout(timeoutId); | |
| timeoutId = undefined; | |
| } | |
| timeoutId = setTimeout(() => { | |
| evaluate(); | |
| }, 750); | |
| } | |
| evaluate(); |
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| <!DOCTYPE html> | |
| <html> | |
| <head> | |
| <meta charset="utf-8"> | |
| <title>Pyodide Evaluation Demo</title> | |
| <script src="https://cdn.jsdelivr.net/pyodide/v0.23.2/full/pyodide.js"> | |
| </script> | |
| <style> | |
| #output { | |
| font-family: monospace; | |
| } | |
| #output.good { | |
| color: green; | |
| } | |
| #output.bad { | |
| color: red; | |
| } | |
| </style> | |
| </head> | |
| <body> | |
| <h1>Pyodide Evaluation Demo</h1> | |
| <p>The data is <code>input = [1.0, 2.0, 3.0, 4.0, 5.0]</code>. | |
| <p><label for="code">Write your Python processing code below, | |
| storing the result in <code>output</code>.</label> | |
| <p><textarea id="code" name="code" rows="20" cols="80" | |
| oninput="onCodeChange()">import numpy as np | |
| output = np.array(list(input)) + 1.0</textarea> | |
| <p><div id="output"></div> | |
| <script src="evaluator.js"></script> | |
| </body> | |
| </html> |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment