semvec/pypi-packages huggingface dataset:
spectrogrammer 1.0.1
a spectrogram generator and plotter for wav files
License: MIT
Requires Python: >=3.7

# Spectrogrammer 

![example workflow](https://github.com/Navodplayer1/spectrogrammer/actions/workflows/main.yaml/badge.svg)

spectrogrammer is a library that provide ease to developers to extract spectrograms from their wav files.

example:

```
from spectrogrammer import get_spectrogram, plot_spectrogram
import numpy as np
import matplotlib.pyplot as plt

spectrogram = get_spectrogram("audio.wav")

plot_spectrogram(spectrogram)

```
micropython-mc3479 0.4.4
MicroPython Driver for the MC3479 Accelerometer
License: MIT
Keywords: MicroPython,MC3479,accelerometer,sensor,acceleration

Introduction
============


.. image:: https://img.shields.io/badge/micropython-Ok-purple.svg
    :target: https://micropython.org
    :alt: micropython

.. image:: https://readthedocs.org/projects/micropython-mc3479/badge/?version=latest
    :target: https://micropython-mc3479.readthedocs.io/
    :alt: Documentation Status

.. image:: https://img.shields.io/pypi/v/micropython-mc3479.svg
    :alt: latest version on PyPI
    :target: https://pypi.python.org/pypi/micropython-mc3479e

.. image:: https://static.pepy.tech/personalized-badge/micropython-mc3479?period=total&units=international_system&left_color=grey&right_color=blue&left_text=Pypi%20Downloads
    :alt: Total PyPI downloads
    :target: https://pepy.tech/project/cmicropython-mc3479

.. image:: https://img.shields.io/badge/code%20style-black-000000.svg
    :target: https://github.com/psf/black
    :alt: Code Style: Black

MicroPython Driver for the MC3479 Accelerometer

Installing with mip
====================

To install using mpremote

.. code-block:: shell

    mpremote mip install github:jposada202020/MicroPython_MC3479

To install directly using a WIFI capable board

.. code-block:: shell

    mip.install("github:jposada202020/MicroPython_MC3479")


Installing Library Examples
============================

If you want to install library examples:

.. code-block:: shell

    mpremote mip install github:jposada202020/MicroPython_MC3479/examples.json

To install directly using a WIFI capable board

.. code-block:: shell

    mip.install("github:jposada202020/MicroPython_MC3479/examples.json")



Installation
================

On supported GNU/Linux systems like the Raspberry Pi, you can install the driver locally `from
PyPI <https://pypi.org/project/micropython-mc3479/>`_.
To install for current user:

.. code-block:: shell

    pip3 install micropython-mc3479

To install system-wide (this may be required in some cases):

.. code-block:: shell

    sudo pip3 install micropython-mc3479

To install in a virtual environment in your current project:

.. code-block:: shell

    mkdir project-name && cd project-name
    python3 -m venv .venv
    source .env/bin/activate
    pip3 install micropython-mc3479