【python常用函数】限制数组模的最大最小值（速度约束）+向量标准化生成单位向量（方向向量）

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已于 2025-02-11 15:00:26 修改

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分类专栏： Python常用函数文章标签： python 开发语言经验分享笔记

于 2025-02-10 17:06:43 首次发布

本文链接：https://blog.youkuaiyun.com/m0_47171044/article/details/145552861

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1.学会写函数啊！！！

1.1.模限制

v = truncate(v, max_length=MAX_SPEED)

import numpy as np
MAX_SPEED = 30
v = np.array([50,50,0])

def truncate(vector, min_length=None, max_length=None):
    """
    Truncate the length of a vector to be within the specified range.

    Parameters:
        vector (numpy.ndarray): The input vector.
        min_length (float, optional): The minimum length of the vector. Defaults to None.
        max_length (float, optional): The maximum length of the vector. Defaults to None.

    Returns:
        numpy.ndarray: The truncated vector.
    """
    length = np.linalg.norm(vector)  # 计算向量的长度

    if min_length is not None and length < min_length:
        # 如果指定了最小长度且当前长度小于最小长度，则缩放到最小长度
        return vector / length * min_length
    elif max_length is not None and length > max_length: