Drawing Dynamic Spectrogram in real time

Question

I essentially have three data points in three separate numpy array and I want to plot the time along the x-axis, the frequency along the y-axis and the magnitude should represent the colors. But this is all happening in real time so it should look like the spectrogram is drawing itself as the data updates.

I have simplified the code to show that I am running a loop that takes at most 10 ms to run and during that time I am getting new data from functions.

import numpy as np
import random
from time import sleep

def new_val_freq():
   return random.randint(0,22)

def new_val_mag():
   return random.randint(100,220)

x_axis_time = np.array([1])
y_axis_frequency = np.array([10])
z_axis_magnitude = np.array([100])

t = 1
while True:
   x_axis_time = np.append (x_axis_time , [t+1])
   t+=1

   y_axis_frequency = np.append (y_axis_frequency , [new_val_freq()])
   z_axis_magnitude = np.append (z_axis_magnitude, [new_val_mag()])
   
   time.sleep(0.01)
   #Trying to figure out how Create/Update spectrogram plot with above additional 
   #data in real time without lag

Ideally I would like this to be as fast as it possibly can rather than having to redraw the whole spectrogram. It seems matplolib is not good for plotting dynamic spectrograms and I have not come across any dynamic spectrogram examples so I was wondering how I could do this?