interactive

问题 I am using the R programming language. I am following this tutorial over here: https://plotly.com/r/dropdowns/ I tried to create my own data and run the same procedure: library(plotly) library(MASS) library(dplyr) # create data x <- sample( LETTERS[1:4], 731, replace=TRUE, prob=c(0.25, 0.25, 0.25, 0.25) ) y <- rnorm(731,10,10) z <- rnorm(731,5,5) date= seq(as.Date("2014/1/1"), as.Date("2016/1/1"),by="day") df <- data.frame(x,y, z, date) df$x = as.factor(df$x) #create plot fig <- plot_ly(df, x

问题 I am using the R programming language. I am following this tutorial over here: https://plotly.com/r/dropdowns/ I tried to create my own data and run the same procedure: library(plotly) library(MASS) library(dplyr) # create data x <- sample( LETTERS[1:4], 731, replace=TRUE, prob=c(0.25, 0.25, 0.25, 0.25) ) y <- rnorm(731,10,10) z <- rnorm(731,5,5) date= seq(as.Date("2014/1/1"), as.Date("2016/1/1"),by="day") df <- data.frame(x,y, z, date) df$x = as.factor(df$x) #create plot fig <- plot_ly(df, x

问题 I am using the R programming language. I am following this tutorial over here: https://plotly.com/r/dropdowns/ I tried to create my own data and run the same procedure: library(plotly) library(MASS) library(dplyr) # create data x <- sample( LETTERS[1:4], 731, replace=TRUE, prob=c(0.25, 0.25, 0.25, 0.25) ) y <- rnorm(731,10,10) z <- rnorm(731,5,5) date= seq(as.Date("2014/1/1"), as.Date("2016/1/1"),by="day") df <- data.frame(x,y, z, date) df$x = as.factor(df$x) #create plot fig <- plot_ly(df, x

问题 There are a number of excellent answers to this question GUIs for displaying dataframes, but what I'm looking to do is a bit more advanced. I'd like to display a dataframe, but have a couple of the columns be interactive where the user can manually overwrite values (and the rest be static). It would be useful to have "total" rows that change with the overwritten values and eventually have some interactive buttons around the dataframe for loading and clearing data. QTPandas looks promising,

问题 I am using the R programming language. Using the "plotly" library, I was able to make the following interactive graph: library(dplyr) library(ggplot2) library(shiny) library(plotly) library(htmltools) library(dplyr) #generate data set.seed(123) var = rnorm(731, 100,25) date= seq(as.Date("2014/1/1"), as.Date("2016/1/1"),by="day") data = data.frame(var,date) vals <- 90:100 combine <- vector('list', length(vals)) count <- 0 for (i in vals) { data$var_i = i data$new_var_i = ifelse(data$var >i,1,0

问题 I am using the R programming language. I am trying to follow the tutorial here on "switching between graphs" : https://plotly.com/r/dropdowns/ (first example). First, I generated some data in R: library(plotly) library(MASS) x <- sample( LETTERS[1:4], 1000, replace=TRUE, prob=c(0.25, 0.25, 0.25, 0.25) ) y <- rnorm(1000,10,10) z <- rnorm(1000,5,5) df <- data.frame(x,y, z) df$x = as.factor(df$x) colnames(df) <- c("x", "y", "z") I tried to modify the code from this tutorial to make the final

问题 apologies in advance for unprecise/unappreciated wording as this is my first question here. Feel free to point out how I can improve it in the future. I have been reading through all of Bokeh's user guide and various forums but belief this question is still insufficiently covered as it appears over and over again without an answer that can be applied generically. My task is to construct a scatterplot in Python's Bokeh that can interactively be filtered based on a categorical variable. My

问题 I am using jupyte notebook This is the Code from ipywidgets import interact define a function to work with (cubes the number) def myfunction(arg): return arg+1 interact(myfunction, arg=9); The result showing is 10 instead it should be showing a slider Showing: enter image description here Instead it show: enter image description here 回答1: I can't tell exactly what went wrong with what you did because there are formatting issues with your post -- you need to indent the code 4 spaces when you

问题 There seems to be a difference between how Docker runs commands in a Dockerfile versus running commands manually after starting a container. This seems to be due to the kind of shells you can start, a (I assume) non-interactive shell with a Dockerfile vs an interactive one when running something like docker run -it <some-img-id> . How can I debug running commands in a Docker container so that it runs exactly like the commands are run from a Dockerfile? Would just adding /bin/bash --noprofile

问题 Install package via composer and import it : mkdir myproject cd myproject composer require metowolf/meting mkdir public touch public/index.php Load it in the index.php: cd public vim index.php <?php require __DIR__ . '/../vendor/autoload.php'; use Metowolf\Meting; $api = new Meting('netease'); Display the project directory structure: tree myproject myproject ├── composer.json ├── composer.lock ├── public │ └── index.php └── vendor ├── autoload.php ├── composer │ ├── autoload_classmap.php │ ├─