pyspectools2 1.0.3

A library for recording and plotting spectrograms from audio data.

Spectrogram Recorder Library

A Python library for recording audio, generating spectrograms, and managing session data.

Features

• Record audio from your default input device (sounddevice).
• Plot and save spectrograms (matplotlib).
• Create numbered session folders (session_1, session_2, ...).
• Delete the latest session and inspect folder sizes.
• Cross-platform default save location based on the current user's home directory.

Installation

pip install pyspectools2

Or from source:

git clone https://github.com/Ampter/pyspectools2
cd pyspectools2
pip install .

Dependencies

• numpy
• sounddevice
• matplotlib

Import

import pyspectools2 as pst

API

pst.get_default_directory()

Returns the default directory for spectrogram sessions:

• Windows: C:\Users\<username>\SOUNDS\spectrograms
• macOS: /Users/<username>/SOUNDS/spectrograms
• Linux: /home/<username>/SOUNDS/spectrograms

pst.create_session_folder(directory=None)

Creates a new folder such as session_5 and returns its path.

pst.get_latest_session_folder(directory=None)

Returns the highest numbered session folder path, or None.

pst.record_audio(duration=3, rate=44100, channels=1)

Records audio and returns a flattened NumPy array.

pst.plot_spectrogram(audio_data, rate=44100)

Returns (fig, ax) for the generated spectrogram.

pst.save_spectrogram(fig, session_folder)

Saves a PNG in the target session folder and returns the output file path.

pst.delete_latest_session_folder(directory=None)

Deletes the latest session folder.

pst.get_folder_size(directory=None)

Returns folder size in bytes.

pst.print_folder_size(directory=None)

Prints the total size of the latest session folder.

Usage Example

import pyspectools2 as pst

session_folder = pst.create_session_folder()
audio_data = pst.record_audio(duration=5)
fig, _ = pst.plot_spectrogram(audio_data)
output_file = pst.save_spectrogram(fig, session_folder)

print(f"Saved spectrogram: {output_file}")

Contributing

Contributions are welcome.

License

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