Skip to main content

Interactive data visualization for signals, videos, and complex data objects.

Project description

datanavigator

src PyPI - Version Documentation Status GitHub license

Interactive data visualization for signals, videos, and complex data objects.

datanavigator is a matplotlib-based toolkit for interactive data visualization that handles signals, videos, and complex data objects. It provides both simple tools for navigating data with minimal programming and a user-friendly API for building sophisticated data interaction applications. This versatility makes it both powerful and accessible, regardless of a user's programming expertise.

Installation

pip install datanavigator

If you encounter dependency issues and are using conda, set up your environment with conda using the requirements.yml file in this repository.

conda env create -n env-datanavigator -f https://github.com/praneethnamburi/datanavigator/raw/master/requirements.yml
conda activate env-datanavigator
pip install datanavigator

Quickstart

1. Browse video frames and extract a clip

import datanavigator as dnav

video_browser = dnav.VideoBrowser(dnav.get_example_video())
# Use the arrow keys to browse through frames.
# Press Ctrl+K to bring up a list of available keyboard shortcuts
# To extract a clip, 
#   1. navigate to the start frame and press 1
#   2. navigate to the end frame and press 2
#   3. press e to save the extracted clip
# run dnav.get_clip_folder() to find the saved video clip

# Or, you can extract a clip from the command line
clip_path = video_browser.extract_clip(start_frame=100, end_frame=200)
print(f"Extracted clip saved to: {clip_path}")

2. Browse time series data and mark events of interest

import datanavigator as dnav
signal_browser = dnav.EventPickerDemo()

License

This project is licensed under the MIT License. See the LICENSE file for details.

Contact

Praneeth Namburi

Project Link: https://github.com/praneethnamburi/datanavigator

Acknowledgments

This tool was developed as part of the ImmersionToolbox initiative at the MIT.nano Immersion Lab. Thanks to NCSOFT for supporting this initiative.

Project details


Download files

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

Source Distribution

datanavigator-1.3.1.tar.gz (121.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

datanavigator-1.3.1-py3-none-any.whl (74.1 kB view details)

Uploaded Python 3

File details

Details for the file datanavigator-1.3.1.tar.gz.

File metadata

  • Download URL: datanavigator-1.3.1.tar.gz
  • Upload date:
  • Size: 121.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: python-requests/2.31.0

File hashes

Hashes for datanavigator-1.3.1.tar.gz
Algorithm Hash digest
SHA256 10972b7781b58276d4fe7758f167bc729a4daa77607f94e1b0e284b230c68ce7
MD5 61455471c4982b35774a550829b98606
BLAKE2b-256 af234c00263ccea67487464b47172f41d78d198bd9824aefdae25028840c8a4a

See more details on using hashes here.

File details

Details for the file datanavigator-1.3.1-py3-none-any.whl.

File metadata

  • Download URL: datanavigator-1.3.1-py3-none-any.whl
  • Upload date:
  • Size: 74.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: python-requests/2.31.0

File hashes

Hashes for datanavigator-1.3.1-py3-none-any.whl
Algorithm Hash digest
SHA256 13baaf6ccf53851c1dafae97242898414ca0ed55e079771746ea00709491413e
MD5 dce869a855787f60afc69db41d3aa84c
BLAKE2b-256 dfc3dc931fc433664eb5906c509774bf028f409e19939aa0a4170eea2116267d

See more details on using hashes here.

Supported by

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