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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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

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? = nullfor (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.xval dy = p2.y - p1.yreturn 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https://blog.csdn.net/zhangphil/article/details/121150370