python-scipyHow can I use Python and SciPy to create a low pass filter?
In order to create a low pass filter using Python and SciPy, the following steps should be taken:
- Import the necessary libraries:
import numpy as np
from scipy import signal
- Create the low-pass filter. This can be done by using the
signal.butter
function, which takes three parameters:N
: The order of the filterWn
: The cutoff frequency of the filter, normalized from 0 to 1 (1 being the Nyquist frequency)btype
: The type of filter, in this case ‘lowpass’
b, a = signal.butter(N=4, Wn=0.2, btype='lowpass')
- Use the filter to filter a signal. This can be done by using the
signal.lfilter
function, which takes three parameters:b
: The numerator coefficient array of the filtera
: The denominator coefficient array of the filterx
: The signal to be filtered
x = np.linspace(0, 10, num=1000)
y = signal.lfilter(b, a, x)
- Plot the filtered signal. This can be done by using the
matplotlib.pyplot
library:
import matplotlib.pyplot as plt
plt.plot(x, y)
plt.show()
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