waterfall

问题 I am trying to change the color of the individual bars of a waterfall chart using R Plotly. More specifically the first and the last bar, I want it to be blue and yellow respectively. So in the below graph, Group 1 has to be blue and Group 2 has to be yellow. R Plotly Waterfall chart seems to only have the option to set three colors for increasing, decreasing and total bars. Here is the code used to generate the above graph: library(plotly) df <- data.frame(Rank = 1:7, Variable = c("Group 1",

问题 I am using async module with waterfall method. async.waterfall([ function(callback) { ... callback(err); }, function(result, callback) { console.log("This function should not be executed"); } ], function(err) { if (err) { next(err); return; } } ); But the second function always execute. How to prevent it? 回答1: Try adding a return async.waterfall([ function(callback) { ... return callback(err); //note return here }, function(result, callback) { console.log("This function should not be executed

问题 I'm trying to create a dialog in which I define multiple waterfall steps. In the context of this dialog, I need sometimes to go back to the previous waterfall step according to the choice of the user. I found this method : await stepContext.ReplaceDialogAsync("Name of the dialog"); however, this method re-execute the whole dialog and this is not what I need. In fact, the waterfall steps that I created are three : ChoiceCallStepAsync: The first step will list the first 10 calls of the user

问题 I have two tables: 1. raw forecast data from forecast table, pulled by snap shot dates, and I use the data to created waterfall looks like this item/snapshot forecast weeks 123 | 8/25/14 | 9/1/14 | 9/8/14 | 9/15/14 -------------------------------------------- 8/24/14| 7661 | 4980 | 588 | 2232 8/31/14| | 8319 | 1968 | 2760 9/7/14 | | | 6931 | 684 9/14/14| | | | 9328 Row labels are snapshot dates, and column labels are forecast weeks. Basically, there are bunch of snapshot dates of the data,

问题 Closed . This question is opinion-based. It is not currently accepting answers. Want to improve this question? Update the question so it can be answered with facts and citations by editing this post. Closed 2 years ago . The Mythical Man-Month is now classic, but the "Surgical Team" methodology is still interesting. What methodology most closely resembles it or has the same essence? To summarize the Surgical Team analogy: A surgeon understands the problem/business domain and is the expert.

问题 I am trying to send an adaptive card which has 2 options for user to select. When user submit the response from adaptive card I am receiving : Newtonsoft.Json.JsonReaderException: Error reading JArray from JsonReader. Current JsonReader item is not an array: StartObject. Path ‘[‘BotAccessors.DialogState’].DialogStack.$values[0].State.options.Prompt.attachments.$values[0].content.body’. Full code example Link : Manage a complex conversation flow with dialogs Modification made in HotelDialogs

问题 I am trying to send an adaptive card which has 2 options for user to select. When user submit the response from adaptive card I am receiving : Newtonsoft.Json.JsonReaderException: Error reading JArray from JsonReader. Current JsonReader item is not an array: StartObject. Path ‘[‘BotAccessors.DialogState’].DialogStack.$values[0].State.options.Prompt.attachments.$values[0].content.body’. Full code example Link : Manage a complex conversation flow with dialogs Modification made in HotelDialogs

问题 i'm trying to use Google Chart API for building an Waterfall chart. I noticed that Candlestick/Waterfall charts are not supporting the annotations. See this jsfiddle sample google.charts.load('current', {'packages':['corechart']}); google.charts.setOnLoadCallback(drawChart); function drawChart() { var data = new google.visualization.DataTable(); data.addColumn('string', 'Category'); data.addColumn('number', 'MinimumLevel'); data.addColumn('number', 'MinimumLevel1'); data.addColumn('number',

问题 All, I can create a nice little waterfall chart using the code below. However, I would like to be able to split the data to show contributions to that specific metric. For example I would like to split the waterfall bars by Local and International. ie. the Sales would have both Local and International adding up to the total. Can this be done. import plotly.graph_objects as go fig = go.Figure(go.Waterfall( name = "20", orientation = "v", measure = ["relative", "relative", "total", "relative",

问题 I want to jump a function from a chain of waterfall functions with asyncjs in nodejs . My code look like this : async.waterfall([ function(next){ if(myBool){ next(null); }else{ // Bypass the 2nd function } }, // I want to bypass this method if myBool is false in the 1st function function(next){ }, // Always called function(next){ } ]); Do you know a proper way to do this without put : if(!myBool){ return next(); } In the function I want to bypass. Thanks ! 回答1: An alternative might be: var