Mapping from Sound Pressure To Frequency Domain

If your data is indeed sound pressure in units of Pascal, then it’s relatively easy. You can use python-acoustics to read the acoustic pressure data and plot the spectrum using plot_power_spectrum method. Alternatively you can look into amplitude spectrum.

The key point is that python-acoustics treats values as an acoustic pressure rather than digital samples.

I imagine that your pressure values are sampled at equal intervals and you know the sampling frequency.

For sound pressure, read amplitude (I know that is a simplification, but it will work for this) - all you need is a fast fourier transform from time domain to frequency doamin taking the amplitude data in over time, and voila.

Helpfully, iPython Interactive Computing and Visualization Cookbook has a chapter on this available online using scipy.fftpack - the key commands are the fft() and fftfreq() functions

Also worth looking at scipy-lectures example