Search between a Gas Station

How to determine if any value occurs more than twice in a list? I have a list and would like to determine if any value occurs more than twice. I've tried using collections and counter but I cannot get those to evaluate to a single True or False value. myArray=[1,1,1,1,1,1,1,1,2] I would like it to return: True if any value occurs more than twice . True Any help is appreciated and it would really help if the solution was fast. I'm checking hundreds of thousands of lists. I'm new to programming and this is my first post. Where is your attempt? I see no code? – antfuentes87 7 mins ago 2 Answers 2 You could always construct a histogram of the values and see if any entry is greater than two. It could look something like this: def is_more_than_...

Interactive list of items [on hold] I want to create a HTML page with a list, the content of each element should be hidden by default. When an user clicks on an element, the content becomes visible (see the picture). Picture What is needed to do it? Please edit the question to limit it to a specific problem with enough detail to identify an adequate answer. Avoid asking multiple distinct questions at once. See the How to Ask page for help clarifying this question. If this question can be reworded to fit the rules in the help center, please edit the question. See: stackoverflow.com/a/36255513/383904 – Roko C. Buljan Jun 30 at 14:11 2 Answers 2 It depends on your needs in terms of interactivity, accessibility and visual appearance....

How to simplify this R code to rbind all the tables of a list? [duplicate] This question already has an answer here: There must a easy way to rbind all the tables in a list, how to do it? rbind(tempOut[[1]], tempOut[[2]], tempOut[[3]], tempOut[[4]], tempOut[[5]], tempOut[[6]], tempOut[[7]], tempOut[[8]], tempOut[[9]], tempOut[[10]], tempOut[[11]], tempOut[[12]], tempOut[[13]], tempOut[[14]], tempOut[[15]], tempOut[[16]], tempOut[[17]], tempOut[[18]], tempOut[[19]], tempOut[[20]], tempOut[[21]], tempOut[[22]], tempOut[[23]], tempOut[[24]], tempOut[[25]], tempOut[[26]], tempOut[[27]], tempOut[[28]], tempOut[[29]], tempOut[[30]], tempOut[[31]], tempOut[[32]]) This question has been asked before and already has an answer. If those answers do not fully address your question, please ask a new question. You can try dplyr::bind_rows . If you can pro...