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

0 vote307 views1 answer
Django active link
Python Django
-1 vote358 views2 answers
Convert two numpy array to pandas dataframe
Python
1 vote329 views2 answers
Cool python imports
Python
0 vote326 views1 answer
Python max function with lambda
Python
1 vote299 views2 answers
Correlation between two columns pandas
Python
1 vote320 views1 answer
Pydotprint
Python
12 votes334 views2 answers
Convert float to string python
Python
1 vote321 views1 answer
Python create n*n matrix
Python
0 vote385 views1 answer
How can item in list change in int in python
Python
0 vote312 views1 answer
How to count a consecutive series of positive or negative values in a column in python
Python