plotly

问题 I am ussing R Plotly and have a line of the form: add_trace(y = meanRank, x = DateOnly, data = timeSeriesDF, name = "Daily Value", text = hoverText, hoverinfo = "text", showlegend = TRUE) It works fine. However, I want this trace to be "unselected" when the plot is shown. So a user would click it on the legend to show the line. I can't seem to find the parameter to show that. 回答1: You could add visible = "legendonly" : library(plotly) economics %>% transform(rate = unemploy / pop) %>% plot_ly

问题 I know this question has been asked a number of times but I think some of the underlying syntax for plotly has changed since those questions have been asked. Using ggplotly() to create a choropleth map gives the default tooltip of long, lat, group, and one of my variables from my aesthetics. I understand that tooltip maps only whats in the aesthetics. All I want to do is to customize the tooltip so it displays some of the variables in my dataset (including those not mapped to aesthetics) and

问题 I have a bunch of 'paired' observations from a study for the same subject, and I am trying to build a spaghetti plot to visualize these observations as follows: library(plotly) df <- data.frame(id = rep(1:10, 2), type = c(rep('a', 10), rep('b', 10)), state = rep(c(0, 1), 10), values = c(rnorm(10, 2, 0.5), rnorm(10, -2, 0.5))) df <- df[order(df$id), ] plot_ly(df, x = type, y = values, group = id, type = 'line') %>% layout(showlegend = FALSE) It produces the correct plot I am seeking. But, the

问题 I have a bunch of 'paired' observations from a study for the same subject, and I am trying to build a spaghetti plot to visualize these observations as follows: library(plotly) df <- data.frame(id = rep(1:10, 2), type = c(rep('a', 10), rep('b', 10)), state = rep(c(0, 1), 10), values = c(rnorm(10, 2, 0.5), rnorm(10, -2, 0.5))) df <- df[order(df$id), ] plot_ly(df, x = type, y = values, group = id, type = 'line') %>% layout(showlegend = FALSE) It produces the correct plot I am seeking. But, the

问题 I have a data frame like this: dput(df) structure(list(x = structure(c(1L, 2L, 3L, 4L, 5L, 1L, 2L, 3L, 4L, 5L), .Label = c("41197708", "41223094", "41244000", "41244435", "41244936"), class = "factor"), y = c(1, 1, 1, 1, 1, 2, 2, 2, 2, 2)), .Names = c("x", "y"), row.names = c(NA, -10L), class = "data.frame") Trying to print a scatter plot with points as follows: plot_ly(df, x = levels(x), y = y, mode = 'markers') I only see points corresponding to y = 1 and not y = 2. Any idea why? The

问题 Plotly allows you to display text fields when hovering over a point on a scatterplot. Is it possible to instead display an image associated with each point when the user hovers over or clicks on it? I am mostly just using the web interface, but I could instead push my ggplot from R. 回答1: Unfortunately, there is no easy way to display images on hover on plotly graphs at the moment. If you are willing to learn some javascript, plotly's embed API allows you to customize hover (as well as click)

问题 I am looking to take advantage of the awesome features in Plotly but I am having a hard time figuring out how to add a regression plane to a 3d scatter plot. Here is an example of how to get started with the 3d plot, does anyone know how to take it the next step and add the plane? library(plotly) data(iris) iris_plot <- plot_ly(my_df, x = Sepal.Length, y = Sepal.Width, z = Petal.Length, type = "scatter3d", mode = "markers") petal_lm <- lm(Petal.Length ~ 0 + Sepal.Length + Sepal.Width, data =

问题 I would like to have the shiny-plotly output height and width adjusted to the current window size. I have tried to use the below but of no use. ShinyUi <- fluidPage( # Application title titlePanel("title"), sidebarLayout( sidebarPanel( ... inputs ... ), mainPanel( plotlyOutput("distPlot", height = 'auto', width = 'auto') ) )) ShinyServer <- function(input, output, session) { output$distPlot <- renderPlotly({ p <- ggplot(dataShow, aes(x=dataShow$X, y=dataShow$Y)) + geom_point(shape=1, alpha =

问题 Why do I get the different order in plotly bar chart than I defined in x and y variables. E.g. library(plotly) plot_ly( x = c("giraffes", "orangutans", "monkeys"), y = c(20, 14, 23), name = "SF Zoo", type = "bar" ) I need bar chart where I see bars in the same order as x variable (categorical) is defined. Is there any trick for that? 回答1: plotly does it in alphabetical order. If you want to change it, just try to change levels of factor. This would be possible if you give your data in the

问题 This is my first time working with ggplot2/ggploty() and would like some feedback as to what I could do to make my plot better. This is the code i've used: # interactive plot with ribbon test <- ggplot(data = wide.data, aes(x = x, y = pred)) + geom_ribbon(aes(ymin = lwr, ymax = upr, fill = model), alpha = .5) + geom_point(aes( group = model, fill = model)) + labs(x = "Number of Games Played", y = "Total Number of Goals") + scale_y_continuous(breaks=seq(0,70,5)) + scale_x_continuous(breaks=seq