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

1.1.10

This version

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-1.1.9-py3-none-any.whl (15.5 MB view details)

Uploaded Python 3

File details

Details for the file kangas-1.1.9-py3-none-any.whl.

File metadata

  • Download URL: kangas-1.1.9-py3-none-any.whl
  • Upload date:
  • Size: 15.5 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.8.5

File hashes

Hashes for kangas-1.1.9-py3-none-any.whl
Algorithm Hash digest
SHA256 6b680e071629cac5eeeb97147d76cfb786a88caaf97f804e7f64fa651c8641c0
MD5 b60468f838833e7e72a39bd245e000a6
BLAKE2b-256 28c1020713539b41219a3e5305e42c6c3266bcac72882985dcbe0d42d0863cca

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