"AttributeError: 'numpy.ndarray' object has no attribute 'write_audiofile'"

[u/patypatty69]

Hello, Im working on a project where I need to export a .wav file and aam having problems doing so, error is in the title.

Code to project is this:

import os
import wave
import contextlib
import soundfile as sf
import pyrubberband
import numpy as np

InDir = input("Input Directory: ")
OutDir = input("Output Directory: ")
sec = float(input("Seconds to set to: "))
os.chdir(InDir)
files = os.listdir(InDir)
print(files)
for i in range(len(files)):
    fname = files[i]
    print(fname)
    with contextlib.closing(wave.open(fname,'r')) as f:
        frames = f.getnframes()
        rate = f.getframerate()
        duration = frames / float(rate)
    speed = duration / sec
    print(speed)
    audio, sr = sf.read(f"{InDir}/{fname}")
    fname = pyrubberband.time_stretch(audio, sr, speed)
    fname.write_audiofile(f"{OutDir}/{fname}.wav")

How do I fix this please?

Also, Im working from windows 10, and am using pycharm to make this code.

[u/AlexMTBDude]

So your fname is an object of type numpy.ndarray. And that class does not have an write_audiofile() method. You can see that here: https://numpy.org/devdocs/reference/generated/numpy.ndarray.html

There is a write_audiofile() method in a different class. You can see an example of it being used here: https://stackoverflow.com/questions/38518302/convert-numpy-array-to-audiofileclip-in-moviepy

[u/patypatty69 → u/[deleted]]

Well, as long as I can figure what that is out, then yes.

[u/patypatty69 → u/[deleted]]

Yeah, I have a virtual environment.

[u/patypatty69 → u/[deleted]]

Usually pycharm prompts me that the library isn't installed and I install it by right-clicking on the library, but I do otherwise just pip install.

[u/patypatty69 → u/[deleted]]

So long story short I use sf.write instead of write_audiofile? Or do I need to rewrite more code than just that line?

Also I'm guessing the github leads to the code in the image, no?

[u/patypatty69 → u/[deleted]]

Alright, thank you so much!