chasep255 - 10 months ago 84

Python Question

This seems like it would be very straight forward but I can't seem to figure out how to map angles between -Pi and Pi to the range 0 to 2Pi. I tried using np.select but it freezes my program for some reason. I need the angles in this range since they will be used as training data for a neural net which can not output negative numbers.

`audio = wav.read('/home/chase/Desktop/ge.wav')[1].astype(np.float32)`

audio = np.mean(audio, 1)

audio /= np.max(np.abs(audio))

audio = np.array([np.fft.rfft(audio[i:i + FRAME_SIZE]) for i in range(0, len(audio) - len(audio) % FRAME_SIZE, FRAME_SIZE)])

audio /= FRAME_SIZE

audio_mag = np.abs(audio)

audio_phase = np.angle(audio)

#this line freezes the program

audio_phase = np.select(audio_phase < 0 , 2 * np.pi + audio_phase, audio_phase)

I need the audio

Answer

This is typically what I do. Let us say you have these angles:

```
>>> angles = np.linspace(-np.pi, np.pi, 10)
>>> angles
array([-3.14159265, -2.44346095, -1.74532925, -1.04719755, -0.34906585,
0.34906585, 1.04719755, 1.74532925, 2.44346095, 3.14159265])
```

Then, the ones less than zero should be converted to the right value. Something like this:

```
>>> (2*np.pi + angles) * (angles < 0) + angles*(angles > 0)
array([ 3.14159265, 3.83972435, 4.53785606, 5.23598776, 5.93411946,
0.34906585, 1.04719755, 1.74532925, 2.44346095, 3.14159265])
```

Remember that in numpy, you can do logical tests ... `angles < 0`

is a boolean array. However, `1*(angles < 0)`

is a numeric array, where `True`

values are mapped to `1`

and `False`

values are mapped to `0`

. You can combine the two concepts to get your answer.

I hope this helps.