Save an image (only content, without axes or anything else) to a file using Matloptlib

Question

I\'d like to obtain a spectrogram out of a wav file and then save it to a png, but I need just the content of the image (not axes or anything else). I came across these ques

Answer 1

I think you want subplots_adjust:

fig,ax = plt.subplots(1)
fig.subplots_adjust(left=0,right=1,bottom=0,top=1)
ax.axis('tight')
ax.axis('off')

In this case:

import matplotlib.pyplot as plt
from scipy.io import wavfile
import numpy as np

def graph_spectrogram(wav_file):
    rate, data = wavfile.read(wav_file)
    fig,ax = plt.subplots(1)
    fig.subplots_adjust(left=0,right=1,bottom=0,top=1)
    ax.axis('off')
    pxx, freqs, bins, im = ax.specgram(x=data, Fs=rate, noverlap=384, NFFT=512)
    ax.axis('off')
    fig.savefig('sp_xyz.png', dpi=300, frameon='false')

if __name__ == '__main__': # Main function
    graph_spectrogram('...')

Answer 2

May be helpful for someone who use librosa latest versions.

You can add transparent=True to the plt.savefig() function to set transparent background. But the problem is still x and y axis information are visible. Hens, you need to remove axis details using ax.set_axis_off()

You can remove right side color-bar by commenting out plt.colorbar()

plt.figure(figsize=(12, 4))
ax = plt.axes()
ax.set_axis_off()
plt.set_cmap('hot')
librosa.display.specshow(librosa.amplitude_to_db(S_full[:, idx], ref=np.max), y_axis='log', x_axis='time',sr=sr)
plt.colorbar()
plt.savefig(f'{args["output"]}/{name}_{i}.png', bbox_inches='tight', transparent=True, pad_inches=0.0 )

Please click images to check differences

When nothing is changed(Default)

When the axis informations are off Using ax.set_axis_off()

Here, this image doesn't have axis info but white background is there.

When enabling transparent using transparent= True

Here, this image doesn't have white background but axis info is there.

With axis info are off and enabling transparent

This image doesn't have either white background or axis info

You may not see the exact differences since images might be changed when uploading.