Apply butterworth filter python

>>> from scipy import signal
>>> import matplotlib.pyplot as plt

Source: docs.scipy.org

Apply butterworth filter python

>>> b, a = signal.butter(4, 100, 'low', analog=True)
>>> w, h = signal.freqs(b, a)
>>> plt.semilogx(w, 20 * np.log10(abs(h)))
>>> plt.title('Butterworth filter frequency response')
>>> plt.xlabel('Frequency [radians / second]')
>>> plt.ylabel('Amplitude [dB]')
>>> plt.margins(0, 0.1)
>>> plt.grid(which='both', axis='both')
>>> plt.axvline(100, color='green') # cutoff frequency
>>> plt.show()

Source: docs.scipy.org

Similar codes

1 vote205 views1 answer
Np array describe
Python
0 vote180 views1 answer
Py current date
Python
0 vote207 views1 answer
Python Ordered dict to dict
Python
0 vote212 views1 answer
Numpy savetxt list of strings
Python
10 votes184 views2 answers
Convert list to nd array
Python
1 vote226 views1 answer
Factorial sequence code in python with while loops
Python
-1 vote179 views3 answers
Jama api python
Python
2 votes182 views1 answer
Python compare if 2 files are equal
Python
0 vote208 views2 answers
2)Write a function that checks whether a number is in a given range (inclusive of high and low) python
Python
2 votes172 views1 answer
Display flask across network
Python