如何在Matplotlib中绘制向量加法？

import matplotlib.pyplot as plt
import numpy as np

# 定义两个向量
vector_A = np.array([3, 4])
vector_B = np.array([1, 2])

# 计算向量和
vector_C = vector_A + vector_B

# 绘制坐标轴
plt.xlim(-1, 8)
plt.ylim(-1, 8)
plt.axhline(y=0, color='k')
plt.axvline(x=0, color='k')

# 绘制向量A
plt.quiver(0, 0, vector_A[0], vector_A[1], angles='xy', scale_units='xy', scale=1, color='r', label='Vector A')
# 绘制向量B
plt.quiver(vector_A[0], vector_A[1], vector_B[0], vector_B[1], angles='xy', scale_units='xy', scale=1, color='b', label='Vector B')
# 绘制向量和C
plt.quiver(0, 0, vector_C[0], vector_C[1], angles='xy', scale_units='xy', scale=1, color='g', label='Vector C')

# 添加标签和图例
plt.xlabel('X')
plt.ylabel('Y')
plt.title('Vector Addition in Matplotlib')
plt.legend()

# 显示图形
plt.grid()
plt.show()