From data to waveforms

I’ve developed a Python algorithm for reading and browsing climate data files. With it, I can directly transform their series of readings into sounds.

Each value is assigned to a waveform sample, creating a sound file containing the corresponding waveform.

More details

The data are stored in three-dimensional arrays in which each cell contains a value. The algorithm traverses these arrays, converting them into a simple series of successive values. These values become the sampling points of a waveform.

To do this, I used the Numpy python library for manipulating multi-dimensional arrays.

I also used the Wave library to sample and create sound waveforms.