python – Understanding MFCC output for a simple sine wave

I generate a simple sine wave with a frequency of 200 and calculate an FFT to check that the obtained frequency is correct.

Then I calculate MFCC but do not understand what its output means?
What is the explanation of the output, and where do I see the frequency 200 in this output?

# In[3]:
import numpy as np
import matplotlib.pyplot as plt
import scipy.fft
import librosa

def generate_sine_wave(freq, sample_rate, duration):
    x = np.linspace(0, duration, int(sample_rate * duration), endpoint=False)
    frequencies = x * freq
    # 2pi because np.sin takes radians
    y = np.sin(2 * np.pi * frequencies)
    return x, y

sample_rate = 1024
freq = 200
x, y = generate_sine_wave(freq, sample_rate, 1)
plt.figure(figsize=(10, 4))
plt.plot(x, y)
plt.grid(True)

fft = scipy.fft.fft(y)
fft = fft[0 : len(fft) // 2]
fft = np.abs(fft)
xs = np.linspace(0, sample_rate // 2, len(fft))
plt.figure(figsize=(10, 4))
plt.plot(xs, fft)
plt.grid(True)

mfcc_feat = librosa.feature.mfcc(sr=sample_rate, y=y)
print('\nMFCC Parameters:\n   Window Count=", mfcc_feat.shape[0])
print("   Individual Feature Length=", mfcc_feat.shape[1])
mfcc_feat = mfcc_feat.T
plt.matshow(mfcc_feat)
plt.title("MFCC Features - librosa')

If I change the frequency to 400 MFCC it gives me this:

What is the meaning of all these colors in three rows?