treemap

Is it possible to make a treemap in d3 with the background of each rectangle be an image? I am looking for something similar to what was done in Silverlight here , but for d3. If it is possible, are there any recommended tutorials that walk through the process of connecting the background to an image? Lars Kotthoff Yes, there are several ways of using images in SVGs. You probably want to define the image as a pattern and then use it to fill the rectangle. For more information, see e.g. this question (the procedure is the same regardless of the element you want to fill). In D3 code, it would

对于 HashSet 而言，它是基于 HashMap 实现的，HashSet 底层使用 HashMap 来保存所有元素，因此 HashSet 的实现比较简单 一. HashSet概述 HashSet是Java集合Set的一个实现类，Set是一个接口，其实现类除HashSet之外，还有TreeSet，并继承了Collection，HashSet集合很常用，同时也是程序员面试时经常会被问到的知识点，下面是结构图 public class HashSet extends AbstractSet implements Set, Cloneable, java.io.Serializable {} 二. HashSet构造 HashSet有几个重载的构造方法，我们来看一下 private transient HashMap map; //默认构造器 public HashSet() { map = new HashMap<>(); } //将传入的集合添加到HashSet的构造器 public HashSet(Collection< ? extends E> c) { map = new HashMap<>(Math.max((int) (c.size()/.75f) + 1, 16)); addAll(c); } //明确初始容量和装载因子的构造器 public HashSet(int

I'm interested in drawing a treemap : What is the easiest way to make one in Python? Is there a library that could produce such a graphic, given the proper input data? nkint The SciPy cookbook includes an example using matplotlib , but without labels . IA link: https://web.archive.org/web/20150324163314/http://wiki.scipy.org/Cookbook/Matplotlib/TreeMap You can use Pygal library, this is so simple http://pygal.org/en/stable/documentation/types/treemap.html Another solution is you can use squarify library, here's a code that I was used import matplotlib import matplotlib.pyplot as plt import

I was going through the source code of TreeMap in JAVA . As per JAVA doc: A Red-Black tree based NavigableMap implementation. The map is sorted according to the natural ordering of its keys, or by a Comparator provided at map creation time, depending on which constructor is used. This implementation provides guaranteed log(n) time cost for the containsKey, get, put and remove operations. Algorithms are adaptations of those in Cormen, Leiserson, and Rivest's Introduction to Algorithms. In the source code I found that an Inner Class Entry was used as a node . static final class Entry<K,V>

TreeMap 属性 TreeMap 实现了 NavigableMap 接口，意味着它**支持一系列的导航方法。**比如返回有序的key集合。 public class TreeMap<K,V> extends AbstractMap<K,V> implements NavigableMap<K,V>, Cloneable, java.io.Serializable{ // 比较器 private final Comparator<? super K> comparator; // 红黑树根节点 private transient Entry<K,V> root = null; // 集合元素数量 private transient int size = 0; // TreeMap结构改变次数，用于fail-fast机制的实现 private transient int modCount = 0; /* 用于导航的Set与Map */ private transient EntrySet entrySet; private transient KeySet<K> navigableKeySet; private transient NavigableMap<K,V> descendingMap; // 红黑树颜色枚举 private static final boolean RED

Seems they both let you retrieve the minimum, which is what I need for Prim's algorithm, and force me to remove and reinsert a key to update its value. Is there any advantage of using one over the other, not just for this example, but generally speaking? Generally speaking, it is less work to track only the minimum element, using a heap. A tree is more organized, and it requires more computation to maintain that organization. But if you need to access any key, and not just the minimum, a heap will not suffice, and the extra overhead of the tree is justified. Leo Yee Totally agree with Erickson

下载Essential Studio for ASP.NET MVC最新版本 Essential Studio for ASP.NET MVC 控件包是一款MVC界面开发包，它包含了几乎所有企业级Web应用程序开发所需要的控件，如Grids、 Charts、Gauges、Menus、Calendars、Editors等。 除此之外，该控件包还包含了可以让应用程序浏览和创建Excel、Word、PDF文件的高性能元件库。 枢轴网格 编辑和更新 最终用户可以在运行时编辑原始项，同时更新控件。 Drill-through 支持轻松获取特定值单元格或汇总单元的原始项列表。 过滤对话框 在过滤器对话框中，提供了对限制显示字段值和搜索选项的支持，以处理没有任何性能约束的大数据。 超链接 允许用户通过单击超链接单元格来检索关于特定单元的信息。它还允许用户以编程方式执行自定义操作。 延迟更新 最终用户可以按需刷新控件，而不是在每次UI交互期间。 显示/隐藏总数 为显示或隐藏行和列的小计和大计提供支持。 聚合 添加了更多的聚合类型，如不同的计数、产品、索引、总体stdev、样本stdev、总体var、样本var、运行总数、与总和的差异、%与总和的差异、%与总和的差异、%与总列的差异、%与总列的差异、%与总行的差异、%与父列的差异、%与总列的差异、%与父列的差异、以及%与父列的差异。

汉字转拼音 HanLP中的汉字转拼音功能也十分的强大。 说明 ： HanLP不仅支持基础的汉字转拼音，还支持声母、韵母、音调、音标和输入法首字母首声母功能。 HanLP能够识别多音字，也能给繁体中文注拼音。 最重要的是，HanLP采用的模式匹配升级到AhoCorasickDoubleArrayTrie，性能大幅提升，能够提供毫秒级的响应速度！ 算法详解 ： 《汉字转拼音与简繁转换的Java实现》 # 汉字转拼音 Pinyin = JClass("com.hankcs.hanlp.dictionary.py.Pinyin") text = "重载不是重任！" pinyin_list = HanLP.convertToPinyinList(text) print("原文，", end=" ") print(text) print("拼音（数字音调），", end=" ") print(pinyin_list) print("拼音（符号音调），", end=" ") for pinyin in pinyin_list: print("%s," % pinyin.getPinyinWithToneMark(), end=" ") print("\n拼音（无音调），", end=" ") for pinyin in pinyin_list: print("%s," % pinyin

The good news: I'm able to create a beautiful treemap using the treemap package. Data: forTm <- structure(list( UnitGroup = c("1N", "BHU", "CSU", "ED", "Med/Surg", "Med/Surg", "Telemetry", "Telemetry", "Telemetry", "Telemetry", "Telemetry"), Unit = c("A", "B", "C", "ED", "D", "E", "F", "G", "H", "I", "J"), Count = c(1L, 1L, 1L, 1L, 15L, 10L, 5L, 2L, 3L, 8L, 4L)), class = c("data.frame"), row.names = c(NA, -11L), .Names = c("UnitGroup", "Unit", "Count")) Treemap: library(treemap) tm <- treemap(forTm, index = c("UnitGroup", "Unit"), vSize = "Count", vColor = "Count", type = "dens", palette =