Generate a frequency (equal tempered) of musical notes chart using Pandas

note-frequency-table.py

import pandas as pd

noteList = ['C', 'C#', 'D', 'D#', 'E', 'F', 'F#', 'G', 'G#', 'A', 'A#', 'B']

def generateOctave(note, startingFrequency):
    frequencyList = [startingFrequency]
    for x in range(1,9):
        frequencyList.append(startingFrequency * 2**x) # each octave up is twice the previous frequency
    frequencyDf = pd.DataFrame({note:frequencyList})
    return frequencyDf
    
df = pd.DataFrame() # create an empty dataframe
for n, note in enumerate(noteList, start=1):
    startingFrequency = 2**(n/12) * 15.434 # calculate the new note's frequency
    frequencyDf = generateOctave(note, startingFrequency)
    df = pd.concat([df, frequencyDf], axis=1) # join the new column to the dataframe

df.style.set_precision(4) # display the dataframe with 4 significant figures