标签: visualization

我的数据格式如下：

my_data = structure(list(name = c("john", "john", "john", "john", "john", 
"alex", "alex", "alex", "alex", "alex", "tim", "tim", "tim", 
"tim", "tim", "jason", "jason", "jason", "jason", "jason", "peter", 
"peter", "peter", "peter", "peter", "nancy", "nancy", "nancy", 
"nancy", "sarah", "sarah", "sarah", "sarah", "luke", "luke", 
"luke", "luke", "steve", "steve", "steve", "steve", "matt", "matt", 
"matt", "mark", "mark", "mark", "jim", "jim", "jim", "derek", 
"derek", "lucy", "lucy", "anne", "kevin", "dave"), year = c(2010, 
2011, 2013, 2014, 2019, 2010, 2011, 2012, 2013, 2014, 2008, 2010, 
2014, 2018, 2019, 2005, …

以下代码用于使用滑块更改 Plotly 热图色标的 \xe2\x80\x9cmin\xe2\x80\x9d 。

但它非常慢：拖动滑块时我们的移动速度为 1 fps。

像用“heatmapgl”替换“heatmap”这样的解决方案并不能真正解决问题（它可能会提高到 2 fps）。

如何使用滑块更灵敏/更快地更改色阶？

对于许多应用程序来说，能够“实时”（超过 10 fps）看到色标变化的结果至关重要，并且可以使用 Matplotlib 等来做到这一点。

如何在 Plotly JS 中获得相同的行为？

var z = Array.from({length: 500}, () => Array.from({length: 1000}, () => Math.floor(Math.random() * 500)));  \nvar steps = [], i;\nfor (i = 0; i < 500; i++)\n    steps.push({label: i, method: \'restyle\', args: [\'zmin\', i]});\nPlotly.newPlot(\'myDiv\',  [{z: z, colorscale: \'Jet\', type: \'heatmap\'}], {sliders: [{steps: steps}]});

<script src="https://cdn.plot.ly/plotly-2.16.2.min.js"></script>\n<div id="myDiv"></div>

\n

考虑以下数据集：

ig_5 <- data.frame(
  category = c("A", "B", "C", "D", "E", "F"),
  prop = c(0.1, 0.2, 0.15, 0.25, 0.05, 0.25)
) %>%
  mutate(lab.ypos = cumsum(prop) - 0.5*prop)

我使用以下代码创建了一个圆环图：

ggplot(ig_5, aes(x = 2, y = prop, fill = prop)) +
  geom_bar(stat = "identity", color = "white") +
  coord_polar(theta = "y", start = 0) +
  geom_text(aes(y = lab.ypos, label = prop), color = "black", size = 5) +
  xlim(.5, 2.5)

可以看到，值标签放置在每个类别的中间。现在，我需要将数字放置在每个值标签的正下方。我不能只是将新对象粘贴到值中，因为文本和图形的颜色不同。因此，我想应该有一种方法可以使用值标签的坐标（x = 2，y = lab.ypos = cumsum（prop） - 0.5 * prop）来根据我的需要定位数字。

我使用 …

library(ggplot2)
mydat <- data.frame(mean = c(23, 24, 15, 27, 18, 19, 23, 20, 32),
           lower = c(20, 19, 13, 15, 14, 18, 20, 17, 20),
           upper = c(25, 29, 17, 39, 22, 20, 26, 23, 40),
           class = c("A", "B", "C", "A", "B", "C", "A", "B", "C"),
           domain = c("North", "North", "North", "West", "West", "West", "South", "South", "South"))
mydat$class <- as.factor(mydat$class)
mydat$domain <- as.factor(mydat$domain)

mydat %>% ggplot(aes(x = mean, y = class, color = domain, Group = domain, xmin = …

我有简单的私人模块:

public class SomePrivateModule extends PrivateModule {
    @Override
    protected void configure() {
        bind(SomeInterface.class).
        annotatedWith(SomeAnotation.class).
        to(SomeClass.class);

        expose(SomeInterface.class).annotatedWith(SomeAnotation.class);


        bind(String.class).annotatedWith(Names.named("some_name")).toInstance("foofoo");
    }
}

我在另一个模块中使用此模块install(new SomePrivateModule).不幸的是,在依赖关系图上我得到"k_26662236"了圆形而不是@SomeAnotation SomeInterface矩形和依赖关系SomeClass.

当我改变SomePrivateModule扩展AbstractModule而不是PrivateModule一切正常.

它是Guice中的错误还是我做错了什么？

我以电子方式维护我的期刊,并且我试图了解过去几个月我对期刊写作的一致性.我有以下数据文件,其中显示了我在前30天内记录的日记条目(Entry Count)和单词(Word Count)的数量.

Date    Entry Count Word Count
2010-08-25  22  4205
2010-08-26  21  4012
2010-08-27  20  3865
2010-08-28  20  4062
2010-08-29  19  3938
2010-08-30  18  3759
2010-08-31  17  3564
2010-09-01  17  3564
2010-09-02  16  3444
2010-09-03  17  3647
2010-09-04  17  3617
2010-09-05  16  3390
2010-09-06  15  3251
2010-09-07  15  3186
2010-09-08  15  3186
2010-09-09  16  3414
2010-09-10  15  3228
2010-09-11  14  3006
2010-09-12  13  2769
2010-09-13  13  2781
2010-09-14  12  2637
2010-09-15  13  2774
2010-09-16  13 …

我正在为项目使用硬件模拟器.它最后以非常结构化但丑陋的方式输出统计数据.阅读起来很烦人,所以我想编写一个GUI来帮助我更好地展示它.是否有人知道我可以使用什么框架和小部件来快速,轻松地构建干净的东西？我希望能够导航树的子节点并隐藏(折叠)我不感兴趣的节点.

统计信息输出采用这样的形式

root {
 foo = "bar";
 foo_num = 1;
 machine {
  core0 {
   fetch {
    renamed {
      none = 13559;
      flags = 3013;
      reg_and_flags = 10735;
      reg = 8430;
    }
     width[5] = {
      Minimum:                   381
      Maximum:                 17450
      Average:                 1.248
      Total Sum:               28627
      Weighted Sum:            35737
      Threshold:                   3
      [ 61.0% ] [ 61.0% ]     0     0 17450 ******************************
      [  1.3% ] [ 62.3% ]     1     1   381 
      [ 12.1% ] [ 74.4% ]     2     2  3476 ******
      [  3.1% ] …

我一直在玩Mathematica的可视化和网络浏览功能.基于一些演示代码,我能够可视化网络.以下是大学网页上的示例:

webcrawler[rooturl_, depth_] :=
  Flatten[Rest[NestList[
       Union[Flatten[Thread[# -> Import[#,"Hyperlinks"]] & /@ Last /@ #]] &, 
       {"" -> rooturl}, depth]]];

Graph[webcrawler[
  "http://www.yorku.ca/", 2], {ImageSize -> Full}]

但是,我一直在努力寻找将EdgeLabels []应用于此Graph[]命令的方法.我想在每一行上写下每个链接,只是为了弄清楚链接簇代表什么.

我已经尝试将生成的Hyperlink连接列表应用到它,这不起作用,也没有任何来自文档/堆栈/ cookbook上其他地方的明显命令.

我想象一个非常杂乱的输出.

我正在研究一些室内和室外活动的相当精细的情节,我有点卡住了.我想添加着色用了室内/室外用(纪要Xmin,Ymin以及Zmin中)geom_segment我的阴谋的步骤(见下文).它目前仅 Zmin被着色(使用连续变量,有点关闭).

我粘贴了所有代码以防其他人想要构建这样的东西,我最初的灵感来自这篇博文.

任何帮助将不胜感激,谢谢!

df <- data.frame(
  date = seq(Sys.Date(), len= 156, by="4 day")[sample(156, 26)],
  action = paste('Then', LETTERS[1:13], 'happed, which was not related to', LETTERS[14:26]),
  IndoorOutdoor = rep(c(-1,1), 13),
  Xmin = sample(90, 26, replace = T),
  Ymin = sample(90, 26, replace = T),
  Zmin = sample(90, 26, replace = T)
)

df$XYZmin <- rowSums(df[,c("Xmin", "Ymin", "Zmin")])*df$IndoorOutdoor

# install.packages("ggplot2", dependencies = TRUE)
require(ggplot2)

# step 1 
plot <- …

我想通过使用以下代码单击该行来获取某一点上的点的坐标:

var lineData = [ { "x": 1,   "y": 5},  { "x": 20,  "y": 20},
                 { "x": 40,  "y": 10}, { "x": 60,  "y": 40},
                 { "x": 80,  "y": 5},  { "x": 100, "y": 60}];

var lineFunction = d3.svg.line()
    .x(function(d) { return d.x; })
    .y(function(d) { return d.y; })
    .interpolate("linear");

var svgContainer = d3.select("body").append("svg")
    .attr("width", 200)
    .attr("height", 200);

var lineGraph = svgContainer.append("path")
    .data([lineData]).attr("d", lineFunction)
  //.attr("d", lineFunction(lineData))  
    .attr("stroke", "blue")
    .attr("stroke-width", 2)
    .attr("fill", "none")
    .on('mousedown', function(d) {
        console.log({"x":d.x, "y":d.y})
    });

(我更新了代码以解决注释,但我仍然得到"Object {x:undefined,y:undefined}") …