loops

问题 Consider the scenario where you have a collection, and inside that collection are particular objects. Those objects also hold a collection, and inside those collections are more of the same objects. It's a nested collection with many layers. List<WorkItemClassificationNode> items; List<WorkItemClassificationNode> subItems = items.Children; List<WorkItemClassificationNode> subSubItems = subItems.Children; // etc I just want a method to iterate through each of those layers so the same logic is

问题 I am working on a python exercise asking for Write Python programs that read a sequence of integer inputs and print The smallest and largest of the inputs. My code so far def smallAndLarge(): num1 = int(input("Enter a number: ")) num2 = int(input("Enter a number: ")) if num1 > num2: print(num1,"is the largest number, while",num2,"is the smallest number.") else: print(num2,"is the largest number, while",num1,"is the smallest number.") smallAndLarge() I am using def smallAndlarge(): since my

问题 I am working on a python exercise asking for Write Python programs that read a sequence of integer inputs and print The smallest and largest of the inputs. My code so far def smallAndLarge(): num1 = int(input("Enter a number: ")) num2 = int(input("Enter a number: ")) if num1 > num2: print(num1,"is the largest number, while",num2,"is the smallest number.") else: print(num2,"is the largest number, while",num1,"is the smallest number.") smallAndLarge() I am using def smallAndlarge(): since my

问题 I have a df attached and I would like to create a loop that would apply a specific sequence based on conditions in column "x9" . I would like to be able to set the sequence myself so I can try different sequences for this data frame, I will explain more below. I have a df of losses and wins for an algorithm. On the first instance of a win I want to take the value in "x9" and divide it by the sequence value. I want to keep iterating through the sequence values until a loss is achieved. Once a

问题 I have a df attached and I would like to create a loop that would apply a specific sequence based on conditions in column "x9" . I would like to be able to set the sequence myself so I can try different sequences for this data frame, I will explain more below. I have a df of losses and wins for an algorithm. On the first instance of a win I want to take the value in "x9" and divide it by the sequence value. I want to keep iterating through the sequence values until a loss is achieved. Once a

问题 Closed . This question needs details or clarity. It is not currently accepting answers. Want to improve this question? Add details and clarify the problem by editing this post. Closed 11 months ago . Improve this question I know using recursions way but it works just for loops which beginning and ending statements are same like code below for (int i=1 ; i<5;i++){ for (int j=0; j<5;j++){ for (int m= 0;m<5;m++) { // N time } } } But my problem is different. I do not know N level and beginning

问题 Suppose we have 3 list s of data.frame s. In BASE R, I was wondering how I could automatically (ex. in a looping structure) rbind the data.frame s within these 3 lists? Please note I want the looping structure so it can rbind any more number of similar lists (ex. g4 g5 ...) g1 <- list(b1 = list(data.frame(a = 1:3, b = 3:5))) g2 <- list(b1 = list(data.frame(a = 1:3, b = 3:5))) g3 <- list(b1 = list(data.frame(a = 1:3, b = 3:5))) 回答1: Here is an option with base R do.call(rbind, lapply(mget(ls

问题 Suppose we have 3 list s of data.frame s. In BASE R, I was wondering how I could automatically (ex. in a looping structure) rbind the data.frame s within these 3 lists? Please note I want the looping structure so it can rbind any more number of similar lists (ex. g4 g5 ...) g1 <- list(b1 = list(data.frame(a = 1:3, b = 3:5))) g2 <- list(b1 = list(data.frame(a = 1:3, b = 3:5))) g3 <- list(b1 = list(data.frame(a = 1:3, b = 3:5))) 回答1: Here is an option with base R do.call(rbind, lapply(mget(ls

问题 I know this topic has been discussed in a couple of posts but I can't seem to get my head around doing this for my particular use case. So I have a need to simulate the typing of values into inputs on a page one after the other. The user simply sits and watches - but essentially what I need is on load, the first input focuses > types in letter by letter a value, and then moves to the next input to do the same with it's value. Here is a fiddle of what I mean with my code so far: https:/

问题 I need to loop through i iteration of factors, and each factor needs to be plotted as one plot in a subplot. What I would like to do is hiding the legend for every iteration bar the first one, and use legendgroup to tie all the legends together. This is what I have done so far: library(plotly) library(dplyr) mtcars %>% mutate(vs = as.factor(vs)) %>% group_split(cyl) %>% lapply(function(i) { #show.legend <- ifelse(i == 1, TRUE, FALSE) show.legend <- if(i == 1) {TRUE} else {FALSE} plot_ly( data