sensor data

sensor/analogFitter-Polynomial.py

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+import numpy as np
+import pandas as pd
+import matplotlib.pyplot as plt
+from scipy.optimize import curve_fit
+
+# --- Load your CSV ---
+# If you exported from Google Sheets with headers "x,y":
+data = pd.read_csv(r'C:\Users\k28ad\OneDrive\Documents\sensor\oldData\data.csv')
+x = data["x"].values
+y = data["y"].values
+coeffs = np.polyfit(x, y, deg=5)  # 5th degree polynomial
+poly = np.poly1d(coeffs)
+print(poly)
+x_smooth = np.linspace(0, 20, 200)
+y_smooth = poly(x_smooth)
+
+plt.scatter(x, y, label = "data")
+plt.plot(x_smooth, y_smooth, 'r-', label="polynomial fit")
+plt.show()