Library to streamline preprocessing of RedVox API 900 and API 1000 data
Project description
RedPandas
Description
This repository contains routines to streamline preprocessing of RedVox API 900 and API 1000 (API M) data. The RedVox Pandas (also known as RedPandas) pipeline is designed for integrability with other legacy and heterogeneous data sources.
Installation
To install with pip:
pip install redvox-pandas
More installation instructions can be found in the RedPandas Installation Documentation.
Examples
A full example can be found in examples directory.
Getting started
Check the User Documentation to get started.
You can find examples on how to plot audio waveforms and audio spectrogram in RedVox Examples.
API Documentation
Check the API Documentation for more details on RedPandas functions.
Development
- Please feel free to submit issues and bugs on the GitHub issue tracker.
- Version History
- The Apache License
Note
RedPandas depends on RedVox SDK version:
- For RedVox SDK >= 3.1.0, RedPandas >= 1.3.0
- For RedVox SDK < 3.1.0, RedPandas = 1.2.15
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 Distribution
Built Distribution
File details
Details for the file redvox_pandas-1.4.23.tar.gz
.
File metadata
- Download URL: redvox_pandas-1.4.23.tar.gz
- Upload date:
- Size: 59.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.13
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 1f877ed49e59653d59816e0ad2323143864d54ed8dcc7cbddfdeca831eb2f759 |
|
MD5 | ca57d7f050b8f84152283c1f200ba601 |
|
BLAKE2b-256 | 610c064749f97a9b87e130a55cad8b23528361becc350f48c781c3e725223426 |
File details
Details for the file redvox_pandas-1.4.23-py3-none-any.whl
.
File metadata
- Download URL: redvox_pandas-1.4.23-py3-none-any.whl
- Upload date:
- Size: 65.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.13
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 71de2a6dbb89337d3318c0576c4b44bd1ea57852ead1472676607ca25592d6c8 |
|
MD5 | 3944fde6afee6258a2794ca97e161b3b |
|
BLAKE2b-256 | 485c69e4a9275ae45d0265671ca15cc222702c18b4da7217d8b4029f165527a7 |