Last active
May 19, 2022 03:28
-
-
Save ptmcg/b30b26fc806215793d1b99e81601aecb to your computer and use it in GitHub Desktop.
Demonstration of CSV import using littletable in pyscript
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
| <html> | |
| <head> | |
| <script defer src="https://pyscript.net/alpha/pyscript.min.js"></script> | |
| <py-env> | |
| - littletable | |
| </py-env> | |
| </head> | |
| <body> | |
| <h2>Iris data</h2> | |
| <py-script> | |
| from pyodide.http import open_url | |
| import littletable as lt | |
| url = "https://raw.githubusercontent.com/jbrownlee/Datasets/master/iris.csv" | |
| # define column names and numeric conversion transforms | |
| names = ["sepal-length", "sepal-width", "petal-length", "petal-width", "class"] | |
| iris_transforms = dict.fromkeys( | |
| ["petal-length", "petal-width", "sepal-length", "sepal-width"], lt.Table.convert_numeric | |
| ) | |
| # import the data from remote URL | |
| iris_table = lt.Table(url).csv_import( | |
| open_url(url), fieldnames=names, transforms=iris_transforms | |
| ) | |
| iris_table.create_index("class") | |
| print(iris_table.table_name) | |
| # print summary counts by class name | |
| print(iris_table.pivot("class") | |
| .as_table() | |
| .as_html(table_properties={"border": 1, "cellpadding": 2})) | |
| </py-script> | |
| <p> | |
| <h2>Iris summary stats</h2> | |
| <py-script> | |
| # compute and print summary statistics for numeric columns | |
| stats = iris_table.stats( | |
| ["petal-length", "petal-width", "sepal-length", "sepal-width"] | |
| ) | |
| print(stats("stats").as_html(table_properties={"border": 1, "cellpadding": 2})) | |
| </py-script> | |
| </body> | |
| </html> |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment