Tool for exploring columnar data, including multimedia

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for dsblank from gravatar.com dsblank

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License (MIT License)
  • Author: DataGrid Development Team
  • Tags data science, python, machine learning
  • Requires: Python >=3.7
Classifiers

Project description

DataGrid

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

What is DataGrid?

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 datagrid 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

Verified details

These details have been verified by PyPI
Maintainers
Avatar for dsblank from gravatar.com dsblank

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License (MIT License)
  • Author: DataGrid Development Team
  • Tags data science, python, machine learning
  • Requires: Python >=3.7
Classifiers

Release history Release notifications | RSS feed

2.4.9

2.4.8

2.4.7

2.4.6

2.4.5

2.4.4

2.4.3

2.4.2

2.4.1

2.4.0

2.4.0a1 pre-release

2.3.8

2.3.7

2.3.6

2.3.5

2.3.4

2.3.3

2.3.2

2.3.1

2.3.0

2.2.10

2.2.9

2.2.8

2.2.7

2.2.6

2.2.5

2.2.4

2.2.3

2.2.2

2.2.1

2.2.0

2.1.1

2.1.0

2.0.2

2.0.1

2.0.0

2.0.0b7 pre-release

2.0.0b6 pre-release

2.0.0b5 pre-release

2.0.0b4 pre-release

2.0.0b3 pre-release

2.0.0b2 pre-release

2.0.0b1 pre-release

2.0.0a5 pre-release

2.0.0a4 pre-release

2.0.0a3 pre-release

2.0.0a2 pre-release

2.0.0a1 pre-release

1.3.4

1.3.3

1.3.2

1.3.1

1.2.3

1.2.2

1.2.1

1.2.0

1.1.34

1.1.33

1.1.32

1.1.31

1.1.30

1.1.29

1.1.28

1.1.27

1.1.26

1.1.25

1.1.24

1.1.23

1.1.22

1.1.21

1.1.20

1.1.19

1.1.18

1.1.17

1.1.16

1.1.15

1.1.14

1.1.13 yanked

Reason this release was yanked:

Missing files

1.1.12

1.1.11

This version

1.1.10

1.1.9

1.1.8

1.1.7

1.1.6

1.1.5

1.1.4

1.1.3

1.1.2

1.1.1

1.1.0

1.0.3

1.0.2

1.0.1

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-1.1.10-py3-none-any.whl (21.6 MB view details)

Uploaded Python 3

File details

Details for the file kangas-1.1.10-py3-none-any.whl.

File metadata

  • Download URL: kangas-1.1.10-py3-none-any.whl
  • Upload date:
  • Size: 21.6 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-1.1.10-py3-none-any.whl
Algorithm Hash digest
SHA256 86523ede50218848f62710b9d6c8fb4ed0567aa7c6aa049323790d2d6cfe4687
MD5 75c9a05d8595dd5978fbe05eaddba216
BLAKE2b-256 f77a5ce3d099bed32782e35c06f51354d219bde2036dd4f0de6720d492866695

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