How to use subplot commands to plot multiple features using librosa?

[krishna chauhan]

Hi there I have a folder saved as 'path' where 4 wav files are stored, So I am trying to plot in figure matrix of 4 rows and 3 columns for every wav files three corresponding plots as waveform, mfcc and spectrogram.

using the code below, somehow not able to set these i parameters plz guide.

Regards

path=glob.glob('E:/Python_On_All_Dataset/Four emotion_for plot/*.wav') 

for i in range(0,13):

    for p in path:

        y, sr = librosa.load(p, sr=16000)

        mfcc=librosa.feature.mfcc(y) 

        S = librosa.feature.melspectrogram(y, sr)

       #fig, ax = plt.subplot()

         

        librosa.display.waveplot(y, sr=sr)  

        #plt.show()

        plt.subplot(12/3,12/4,i+1)

        

        librosa.display.specshow(mfcc, x_axis="time",y_axis="mel")

        #plt.show()

        plt.subplot(12/3,12/4,i+2)

        

        librosa.display.specshow(librosa.power_to_db(S))

        #librosa.display.specshow((S))

        plt.subplot(12/3,12/4,i+3)

        plt. axis('off')

[Brian McFee]

The easiest way to do this is to use matplotlib's object API.  Something like the following:

fig, ax = plt.subplots(nrows=4, ncols=3, sharex=True)

for i in range(4):

   # load wave #i

   librosa.display.waveshow(y, sr, ax=ax[i, 0])  # put wave in row i, column 0

   librosa.display.specshow(mfccs, x_axis='time', ax=ax[i, 1]) # mfcc in row i, column 1

   librosa.display.specshow(librosa.power_to_db(S), x_axis='time', y_axis='log', ax=ax[i, 2])  # spectrogram in row i, column 2

[KRISHNA CHAUHAN]

Thank you sir, Tried this waveshow is not working so I replaced by waveplot, Now I am getting something like this:(In attachment) How to remove this color in wave, like I want only blue color, also how to remove these axis, as its not looking good or if I can reduce axis font,

Regards

[KRISHNA CHAUHAN]

And sir this is the revised code, I think its only plotting last wave as all plots are appearing similar,

path=glob.glob('E:/Python_On_All_Dataset/Four emotion_for plot/*.wav') 

fig, ax =  plt.subplots(nrows=4, ncols=3, sharex=True)

for i in range(4):

    for p in path:

        y, sr = librosa.load(p, sr=16000)

        librosa.display.waveplot(y, sr, ax=ax[i, 0])  # put wave in row i, column 0

        plt.axis('off')

        mfcc=librosa.feature.mfcc(y) 

        librosa.display.specshow(mfcc, x_axis='time', ax=ax[i, 1]) # mfcc in row i, column 1

        plt.axis('off')

        S = librosa.feature.melspectrogram(y, sr)

        librosa.display.specshow(librosa.power_to_db(S), x_axis='time', y_axis='log', ax=ax[i, 2])  # spectrogram in row i, column 2

        plt.axis('off')