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Update README.md

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Signed-off-by: David Rotermund <54365609+davrot@users.noreply.github.com>
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scipy.signal_butterworth/README.md
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@ -22,9 +22,9 @@ dt: float = 1.0 / samples_per_second
# 10 secs # 10 secs
t: np.ndarray = np.arange(0, int(10 * samples_per_second)) * dt t: np.ndarray = np.arange(0, int(10 * samples_per_second)) * dt
f_low = 1 # Hz f_low: float = 1 # Hz
f_mid = 10 # Hz f_mid: float = 10 # Hz
f_high = 100 # Hz f_high: float = 100 # Hz
sin_low = np.sin(2 * np.pi * t * f_low) sin_low = np.sin(2 * np.pi * t * f_low)
sin_mid = np.sin(2 * np.pi * t * f_mid) sin_mid = np.sin(2 * np.pi * t * f_mid)
@ -46,7 +46,7 @@ plt.show()
```python ```python
from scipy import signal from scipy import signal
lowpass_frequency = 2.0 # Hz lowpass_frequency: float = 2.0 # Hz
# Nint : The order of the filter. # Nint : The order of the filter.
# Wn : The critical frequency or frequencies. For lowpass and highpass filters, Wn is a scalar; for bandpass and bandstop filters, Wn is a length-2 sequence. # Wn : The critical frequency or frequencies. For lowpass and highpass filters, Wn is a scalar; for bandpass and bandstop filters, Wn is a length-2 sequence.
@ -78,7 +78,7 @@ plt.show()
```python ```python
from scipy import signal from scipy import signal
highpass_frequency = 20.0 # Hz highpass_frequency: float = 20.0 # Hz
b_high, a_high = signal.butter( b_high, a_high = signal.butter(
N=4, Wn=highpass_frequency, btype="highpass", fs=samples_per_second N=4, Wn=highpass_frequency, btype="highpass", fs=samples_per_second
@ -103,8 +103,8 @@ plt.show()
```python ```python
from scipy import signal from scipy import signal
lowpass_frequency = 2.0 # Hz lowpass_frequency: float = 2.0 # Hz
highpass_frequency = 20.0 # Hz highpass_frequency: float = 20.0 # Hz
b_band, a_band = signal.butter( b_band, a_band = signal.butter(
N=4, N=4,