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course2/sem3/labs_done/lab3.01_done/scripts/2.py

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+from collections import defaultdict
+from sys import argv
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+
+def read_points(filename: str) -> list[tuple[float, float, str]]:
+    points = []
+    with open(filename, "r", encoding="utf-8") as f:
+        for line in f:
+            line = line.strip()
+            if line and not line.startswith("#"):
+                parts = line.split()
+                if len(parts) >= 3:
+                    x = float(parts[0])
+                    y = float(parts[1])
+                    label = parts[2]
+                    points.append((x, y, label))
+    return points
+
+
+def main() -> None:
+    points = read_points(argv[1])
+
+    plt.figure(figsize=(8.27, 11.69))
+    plt.xlim(0, 30)
+    plt.ylim(0, 20)
+    plt.gca().set_aspect("equal", adjustable="box")
+    plt.grid(True, linewidth=0.3)
+    plt.xticks(range(0, 31, 2))
+    plt.yticks(range(0, 21, 2))
+
+    grouped = defaultdict(list)
+    for x, y, phi in points:
+        grouped[phi].append((x, y))
+
+    for x, y, label in points:
+        plt.scatter(x, y, color="red", s=15)
+        plt.text(x + 0.3, y + 0.3, label, fontsize=9)
+
+    for phi, coords in grouped.items():
+        coords.sort(key=lambda p: p[1])
+        xs, ys = zip(*coords)
+        plt.plot(xs, ys, linewidth=0.8, label=f"φ={phi} В")
+
+    if int(argv[2]):
+        theta = np.linspace(0, 2 * np.pi, 200)
+        cx, cy = 15, 9
+
+        for r in [5, 6]:
+            x = cx + r * np.cos(theta)
+            y = cy + r * np.sin(theta)
+            plt.plot(x, y, color="blue", linewidth=1)
+
+    plt.xlabel("X (см)")
+    plt.ylabel("Y (см)")
+    plt.title("Эквипотенциальные линии")
+    plt.savefig("points.png", dpi=300)
+
+
+if __name__ == "__main__":
+    main()