upd

course2/sem3/labs_done/lab4.02_done/scripts/main.py

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+import numpy as np
+import matplotlib.pyplot as plt
+
+L = np.array([932, 832, 732, 632, 532])
+dx = np.array([3.56, 3.67, 3.00, 3.11, 2.33])
+
+K, b = np.polyfit(L, dx, 1)
+
+lambda_nm = 632.82
+lambda_mm = lambda_nm * 1e-6
+
+d = lambda_mm / K
+
+plt.figure()
+plt.scatter(L, dx)
+plt.plot(L, K * L + b)
+plt.xlabel("L, мм")
+plt.ylabel("Δx, мм")
+plt.savefig("1.png", bbox_inches="tight", dpi=300)
+plt.show()
+
+print(K, d)
+