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