Skip to main content

Tool for exploring columnar data, including multimedia

Project description

Kangas DataGrid

The high-performance, multimedia grid tool for data analysis and exploration.

What is Kangas DataGrid?

Kangas DataGrid is a Python library for creating a table of text, numbers, and images, and then exploring them via a web browser-based UI.

A short example

from kangas import DataGrid, Image

dg = DataGrid(
    name="Short Example",
    columns=["Category", "Image", "Output"],
)


model = build_model()
model.fit(x_train, y_train)
outputs = model.predict(x_test)

for index in range(len(x_test)):
    dg.append([
        y_test[index],
        Image(x_test[index]),
        outputs[index].argmax(),
    ])

dg.show()

Further Documentation

  1. General README
  2. DataGrid Filters
  3. Getting Started - Jupyter Notebook

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

kangas-1.1.26-py3-none-any.whl (16.1 MB view details)

Uploaded Python 3

File details

Details for the file kangas-1.1.26-py3-none-any.whl.

File metadata

  • Download URL: kangas-1.1.26-py3-none-any.whl
  • Upload date:
  • Size: 16.1 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.28.1 setuptools/63.4.1 requests-toolbelt/0.9.1 tqdm/4.64.1 CPython/3.8.5

File hashes

Hashes for kangas-1.1.26-py3-none-any.whl
Algorithm Hash digest
SHA256 2527f1318b2f35789e772a9651a308a835d858e2f86e4fabe8a8029276d45394
MD5 4fbc8cce7f2038716720c4d9548227ee
BLAKE2b-256 6d7a71ab519890f9ccd2964646088ad5b0c66fc03a48cc75fd1c7e0afdcd284c

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page