Librosa. Display. Waveplot(Np. Array(F), Sr=22050)-----Attributeerror: 'Module' Object Has No Attribute 'Display'

From this github issue I read that it is now necessary to import librosa.display.

[Update 2022] Apparently now also waveplot needs to be changed to waveshow, like below: (thanks to Hammad Hassan in comments!)

import librosa.display
plt.figure(figsize=(12, 4))
librosa.display.waveshow(data, sr=sampling_rate)

If you are running librosa 0.9.0 you will run into following Error using waveplot:

AttributeError: module 'librosa.display' has no attribute 'waveplot'

instead: import librosa.display and use waveshow

path = "sample.wav"
data, sampling_rate = librosa.load(path)
librosa.display.waveshow(data, sr=sampling_rate)

just import the display

import librosa.display
plt.figure(figsize=(12, 4))
librosa.display.waveplot(data, sr=sampling_rate)

Because of the changes in version 0.6.0 of librosa you are getting those errors. I have fixed all the issues in and made it work on Python 3, librosa=0.6.0

import glob
import os
import librosa
import librosa.display
import numpy as np
import matplotlib.pyplot as plt
import tensorflow as tf
from matplotlib.pyplot import specgram
%matplotlib inline

def load_sound_files(file_paths):
    raw_sounds = []
    for fp in file_paths:
        X,sr = librosa.load(fp)
        raw_sounds.append(X)
    return raw_sounds

def plot_waves(sound_names,raw_sounds):
    i = 1
    #fig = plt.figure(figsize=(25,60), dpi = 900)
    fig = plt.figure(figsize=(25,60))
    for n,f in zip(sound_names,raw_sounds):
        plt.subplot(10,1,i)
        librosa.display.waveplot(np.array(f),sr=22050)
        plt.title(n.title())
        i += 1
    plt.suptitle("Figure 1: Waveplot",x=0.5, y=0.915,fontsize=18)
    plt.show()

def plot_specgram(sound_names,raw_sounds):
    i = 1
    #fig = plt.figure(figsize=(25,60), dpi = 900)
    fig = plt.figure(figsize=(25,60))
    for n,f in zip(sound_names,raw_sounds):
        plt.subplot(10,1,i)
        specgram(np.array(f), Fs=22050)
        plt.title(n.title())
        i += 1
    plt.suptitle("Figure 2: Spectrogram",x=0.5, y=0.915,fontsize=18)
    plt.show()

def plot_log_power_specgram(sound_names,raw_sounds):
    i = 1
    #fig = plt.figure(figsize=(25,60), dpi = 900)
    fig = plt.figure(figsize=(25,60))
    for n,f in zip(sound_names,raw_sounds):
        plt.subplot(10,1,i)
        #D = librosa.logamplitude(np.abs(librosa.stft(f))**2, ref_power=np.max)
        D = librosa.core.amplitude_to_db(np.abs(librosa.stft(f))**2, ref=np.max)
        librosa.display.specshow(D,x_axis='time' ,y_axis='log')
        plt.title(n.title())
        i += 1
    plt.suptitle("Figure 3: Log power spectrogram",x=0.5, y=0.915,fontsize=18)
    plt.show()


sound_file_paths = ["57320-0-0-7.wav","24074-1-0-3.wav","15564-2-0-1.wav","31323-3-0-1.wav",
"46669-4-0-35.wav","89948-5-0-0.wav","40722-8-0-4.wav",
"103074-7-3-2.wav","106905-8-0-0.wav","108041-9-0-4.wav"]

sound_names = ["air conditioner","car horn","children playing",
"dog bark","drilling","engine idling", "gun shot",
"jackhammer","siren","street music"]

raw_sounds = load_sound_files(sound_file_paths)

plot_waves(sound_names,raw_sounds)
plot_specgram(sound_names,raw_sounds)
plot_log_power_specgram(sound_names,raw_sounds)

import os
import numpy as np
%pylab inline
import glob
import librosa.display
import matplotlib.pyplot as plt
import tensorflow as tf
plt.figure(figsize=(12,4))
librosa.display.waveplot(data,sr=sampling_rate)

Old version of librosa has removed waveplot. Use waveshow to get same result.

import librosa
import matplotlib.pyplot as plt

signal, sr = librosa.load('filename.wav')
plt.figure(figsize=(14, 5))
librosa.display.waveshow(signal, sr=sr)
plt.show()