convert the sound detection event predicting image into csv (Pandas format)

[SR-fr]

`def plot_sound_event_detection_result(framewise_output):
#Visualization of sound event detection result.

#Args:framewise_output: (time_steps, classes_num)

out_fig_path = 'results/sed_result.png'
os.makedirs(os.path.dirname(out_fig_path), exist_ok=True)

classwise_output = np.max(framewise_output, axis=0) # (classes_num,)

idxes = np.argsort(classwise_output)[::-1]
idxes = idxes[0:5]

ix_to_lb = {i : label for i, label in enumerate(labels)}
lines = []
for idx in idxes:
line, = plt.plot(framewise_output[:, idx], label=ix_to_lb[idx])
lines.append(line)

plt.legend(handles=lines)
plt.xlabel('Frames')
plt.ylabel('Probability')
plt.ylim(0, 1.)
plt.savefig(out_fig_path)
print('Save fig to {}'.format(out_fig_path))
`

convert this into pandas format (timestamp,class_Name) on which particular time which kind of classes are predicting?