Skip to main content

Turn Scientific Data into Sounds & Music

Project description



Documentation Status

Turning Scientific Data into Sounds & Music

What is it?

Sci-Sonify is a Python package that enables simple and straightforward data sonification (a.k.a. representing data as sounds). It converts data stored using common packages in the Scientific Python Ecosystem such as Numpy, Pandas, and Xarray as musical notes.

Soundmaps

Instead of using colors (i.e. colormaps) for visualuzing data, Sci-Sonify introduces the concept of "soundmaps", which allow for mapping quantitative data to a range of musical notes.

Accessors

In addition to providing standalone functionality for working with lists and arrays, Sci-Sonify introduces accessors into commonly used packages in the Scientific Python Ecosystem.

Xarray

Sonification through a xr.DataArray

import xarray as xr
import scisonify.xarray

da = xr.DataArray([1, 2, 3])

da.sonify()

Pandas

Sonification through a pd.Series

import pandas as pd
import scisonify.pandas

s = pd.Series([1, 2, 3])

s.sonify()

Installation

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

scisonify-1.0.0.tar.gz (11.9 MB view details)

Uploaded Source

Built Distribution

scisonify-1.0.0-py3-none-any.whl (9.5 kB view details)

Uploaded Python 3

File details

Details for the file scisonify-1.0.0.tar.gz.

File metadata

  • Download URL: scisonify-1.0.0.tar.gz
  • Upload date:
  • Size: 11.9 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.5

File hashes

Hashes for scisonify-1.0.0.tar.gz
Algorithm Hash digest
SHA256 b4c42687a0704e32aa7b771e7922a3f7af8cfbaa78b2551e82662ad102bfbca8
MD5 b55248b972393a85a2febfdbe254bcae
BLAKE2b-256 50cc52564786d99c366f96583b8027f631fd45d33dd9aadcd8c0ded40e8167ce

See more details on using hashes here.

File details

Details for the file scisonify-1.0.0-py3-none-any.whl.

File metadata

  • Download URL: scisonify-1.0.0-py3-none-any.whl
  • Upload date:
  • Size: 9.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.5

File hashes

Hashes for scisonify-1.0.0-py3-none-any.whl
Algorithm Hash digest
SHA256 f12ae81378d8be08eed40504effbbb27ddd13123eaff8c3f255dea9d0b2d7a64
MD5 643d8db004c0744779b8f157374f7f02
BLAKE2b-256 545e9a57779708ff1b1ce3251d753dc193d67e0dff61a1972ba050543beebade

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