How can I use SciPy for signal filtering?

How can I use SciPy for signal filtering?

You can use the scipy.signal module, which provides various functions for filtering signals. What type of filter are you interested in?

I'm looking to implement a low-pass filter.

You can use the butter function to design a Butterworth low-pass filter. Would you like a code example?

Yes, please provide a code example.

Here's a simple example:

from scipy.signal import butter, filtfilt
import numpy as np

# Design a Butterworth low-pass filter
def butter_lowpass(cutoff, fs, order=5):
    nyq = 0.5 * fs
    normal_cutoff = cutoff / nyq
    b, a = butter(order, normal_cutoff, btype='low', analog=False)
    return b, a

# Apply the filter
b, a = butter_lowpass(0.1, 1.0)
filtered_signal = filtfilt(b, a, signal)

This will filter your signal with a cutoff frequency of 0.1 Hz.