Correlate 2 series.

correlate-series.py

import matplotlib.pyplot as plt
import numpy as np
import scipy.signal

# Create some data points for the curves
x = np.linspace(0, 10, 100)  # 100 points between 0 and 10
y1 = np.sin(x)  # First curve (sine wave)
y2 = np.cos(x)  # Second curve (cosine wave)
y3 = scipy.signal.correlate(y1, y2, mode = 'same')

# Create the plot
plt.figure(figsize=(8, 6))

# Plot the first curve
plt.plot(x, y1, label='sin(x)', color='blue', linewidth=2)

# Plot the second curve
plt.plot(x, y2, label='cos(x)', color='red', linestyle='--', linewidth=2)

# Plot the second curve
plt.plot(x, y3, label='correlate', color='yellow', linewidth=2)


# Add labels and title
plt.xlabel('x-axis')
plt.ylabel('y-axis')
plt.title('Plot of sin(x) and cos(x)')

# Add a legend to differentiate between the curves
plt.legend()

# Display the plot
plt.grid(True)
plt.show()