算法：笛卡尔平面坐标系上，若干连接点形成线，剔除距离小于阈值的点，Kotlin

淡淡的烟草味﹌ 2024-02-17 12:39 0阅读 0赞

### 算法：笛卡尔平面坐标系上，若干连接点形成线，剔除距离小于阈值的点，Kotlin ###

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const val THRESHOLD = 0.6f //距离小于这个点将被剔除。
    
    data class Point(val x: Float, val y: Float)
    
    fun removeNearbyPoint(points: List<Point>): List<Point> {
        val result = mutableListOf<Point>()
        var prevPoint: Point? = null
    
        for (point in points) {
            if (prevPoint == null || distance(prevPoint, point) > THRESHOLD) {
                result.add(point)
                prevPoint = point
            }
        }
    
        return result
    }
    
    fun distance(p1: Point, p2: Point): Float {
        val dx = p2.x - p1.x
        val dy = p2.y - p1.y
        return kotlin.math.sqrt(dx * dx + dy * dy)
    }
    
    fun main(args: Array<String>) {
        val points = listOf(
            Point(0.0f, 0.0f),
            Point(0.1f, 0.1f),
            Point(0.5f, 0.5f),
            Point(0.6f, 0.6f),
            Point(1.0f, 1.0f),
            Point(1.4f, 1.4f),
            Point(1.5f, 1.5f),
            Point(2.0f, 2.0f),
            Point(2.5f, 2.5f),
            Point(3.0f, 3.0f),
            Point(3.5f, 3.5f),
            Point(4.0f, 4.0f)
        )
    
        val result = removeNearbyPoint(points)
    
        println("原来的点 ${points.size} : $points")
        println("处理的点 ${result.size} : $result")
    }

> 原来的点 12 : \[Point(x=0.0, y=0.0), Point(x=0.1, y=0.1), Point(x=0.5, y=0.5), Point(x=0.6, y=0.6), Point(x=1.0, y=1.0), Point(x=1.4, y=1.4), Point(x=1.5, y=1.5), Point(x=2.0, y=2.0), Point(x=2.5, y=2.5), Point(x=3.0, y=3.0), Point(x=3.5, y=3.5), Point(x=4.0, y=4.0)\]  
> 处理的点 9 : \[Point(x=0.0, y=0.0), Point(x=0.5, y=0.5), Point(x=1.0, y=1.0), Point(x=1.5, y=1.5), Point(x=2.0, y=2.0), Point(x=2.5, y=2.5), Point(x=3.0, y=3.0), Point(x=3.5, y=3.5), Point(x=4.0, y=4.0)\]  
>

[networkx节点2D网格，Python\_networkx 绘制棋盘格\_zhangphil的博客-CSDN博客文章浏览阅读883次。此种类型2D网格图，类似于棋盘等。import networkx as nximport matplotlib.pyplot as pltdef my\_graph(): G = nx.grid\_2d\_graph(4, 4) pos = nx.spring\_layout(G, iterations=100) \# nrows=2，ncols=2，index=1 plt.subplot(2, 2, 1) nx.draw(G, pos, font\_size=\_networkx 绘制棋盘格![favicon32.ico][]https://blog.csdn.net/zhangphil/article/details/121150370][networkx_2D_Python_networkx _zhangphil_-CSDN_883_2D_import networkx as nximport matplotlib.pyplot as pltdef my_graph_ G _ nx.grid_2d_graph_4_ 4_ pos _ nx.spring_layout_G_ iterations_100_ _ nrows_2_ncols_2_index_1 plt.subplot_2_ 2_ 1_ nx.draw_G_ pos_ font_size_networkx _favicon32.ico_https_blog.csdn.net_zhangphil_article_details_121150370]

[favicon32.ico]: https://image.dandelioncloud.cn/pgy_files/images/2024/02/06/46cf1bb58b59432385113e46d6e86050.png
[networkx_2D_Python_networkx _zhangphil_-CSDN_883_2D_import networkx as nximport matplotlib.pyplot as pltdef my_graph_ G _ nx.grid_2d_graph_4_ 4_ pos _ nx.spring_layout_G_ iterations_100_ _ nrows_2_ncols_2_index_1 plt.subplot_2_ 2_ 1_ nx.draw_G_ pos_ font_size_networkx _favicon32.ico_https_blog.csdn.net_zhangphil_article_details_121150370]: https://blog.csdn.net/zhangphil/article/details/121150370