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