Last active
May 10, 2022 17:26
-
-
Save thuwarakeshm/977281a4892869688be92d3a488aba1d to your computer and use it in GitHub Desktop.
pyscript
This file contains 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
| <link rel="stylesheet" href="https://pyscript.net/alpha/pyscript.css" /> | |
| <script defer src="https://pyscript.net/alpha/pyscript.js"></script> |
This file contains 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 lang="en"> | |
| <head> | |
| <meta charset="UTF-8"> | |
| <meta http-equiv="X-UA-Compatible" content="IE=edge"> | |
| <meta name="viewport" content="width=device-width, initial-scale=1.0"> | |
| <title>PyScript Test</title> | |
| <!-- Import PyScript --> | |
| <link rel="stylesheet" href="https://pyscript.net/alpha/pyscript.css" /> | |
| <script defer src="https://pyscript.net/alpha/pyscript.js"></script> | |
| <!-- Import Python modules --> | |
| <py-env> | |
| - pandas | |
| - numpy | |
| - matplotlib | |
| </py-env> | |
| </head> | |
| <body> | |
| <!-- All your other HTML --> | |
| <!-- Python Script Here --> | |
| <py-script>print("Hello World")</py-script> | |
| <!-- Create a Python REPL --> | |
| <py-repl></py-repl> | |
| </body> | |
| </html> |
This file contains 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
| <html> | |
| <head> | |
| <title>K-Means</title> | |
| <meta charset="utf-8"> | |
| <!-- Import PyScript --> | |
| <link rel="stylesheet" href="https://pyscript.net/alpha/pyscript.css" /> | |
| <script defer src="https://pyscript.net/alpha/pyscript.js"></script> | |
| <py-env> | |
| - pandas | |
| - scikit-learn | |
| </py-env> | |
| </head> | |
| <body> | |
| <div id="centroids" style="width: 100%; height: 100%"></div> | |
| <py-script src="./script.py" output="centroids"> | |
| </py-script> | |
| </body> | |
| </html> |
This file contains 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
| import pandas as pd | |
| from pyodide.http import open_url | |
| from sklearn.cluster import KMeans | |
| # Read dataset from file using pandas | |
| df = pd.read_csv( | |
| open_url( | |
| "https://raw.githubusercontent.com/thuwarakeshm/PracticalML-KMeans-Election/master/voters_demo_sample.csv" | |
| ) | |
| ) | |
| # perform K-Means clustering to find 2 clusters considering only age and income of voters | |
| kmeans = KMeans(n_clusters=2, random_state=0).fit(df[["Age", "Income"]]) | |
| print("Cluster Centroids") | |
| for cluster in kmeans.cluster_centers_: | |
| print(f"Cluster I : Age {cluster[0]} and Income {cluster[1]}") |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment