I have two lists of float values, one for time and other for voltage values taken from an oscilloscope (I assume). I have to draw an amplitude spectrum plot, but i'm not exactly sure what function I need to use and what parameters I need to give it, I tried fft(u), but it didn't work.
Any help is appreciated, let me know if you need more info.
Use numpy
.
As an example, let me show how I analysed the frequencies in a stereo WAV file;
First I read the data and separated it in the left and right channels;
import wave
import numpy as np
wr = wave.open('input.wav', 'r')
sz = 44100 # Read and process 1 second at a time.
da = np.fromstring(wr.readframes(sz), dtype=np.int16)
left, right = da[0::2], da[1::2]
Next I run a discrete fourier transform on it;
lf, rf = abs(np.fft.rfft(left)), abs(np.fft.rfft(right))
And we plot the left channel with mathplotlib;
import matplotlib.pyplot as plt
plt.figure(1)
a = plt.subplot(211)
r = 2**16/2
a.set_ylim([-r, r])
a.set_xlabel('time [s]')
a.set_ylabel('sample value [-]')
x = np.arange(44100)/44100
plt.plot(x, left)
b = plt.subplot(212)
b.set_xscale('log')
b.set_xlabel('frequency [Hz]')
b.set_ylabel('|amplitude|')
plt.plot(lf)
plt.savefig('sample-graph.png')
The graph looks something like this;
Here is the Frequency-Time spectrum of the signal, stored in the wave file
import wave
import numpy as np
from scipy import signal
import matplotlib.pyplot as plt
signal_wave = wave.open('voice.wav', 'r')
sample_frequency = 16000
data = np.fromstring(signal_wave.readframes(sample_frequency), dtype=np.int16)
sig = signal_wave.readframes(-1)
sig = np.fromstring(sig, 'Int16')
For the wave file
sig = sig[:]
For some segment of the wave file
sig = sig[25000:32000]
To plot spectrum of the signal wave file
plt.figure(1)
c = plt.subplot(211)
Pxx, freqs, bins, im = c.specgram(sig, NFFT=1024, Fs=16000, noverlap=900)
c.set_xlabel('Time')
c.set_ylabel('Frequency')
plt.show()
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