r-plotly

问题 I want to use one slider to control multiple subplots created with plotly. I found answers in Python like these two: Plot.ly. Using slider control with multiple plots https://community.plot.ly/t/using-one-slider-to-control-multiple-subplots-not-multiple-traces/13955/4 Example (second link): import plotly.graph_objs as go from plotly.tools import make_subplots fig = make_subplots(1, 2) fig.add_scatter(y=[1, 3, 2], row=1, col=1, visible=True) fig.add_scatter(y=[3, 1, 1.5], row=1, col=1, visible

问题 I want to use one slider to control multiple subplots created with plotly. I found answers in Python like these two: Plot.ly. Using slider control with multiple plots https://community.plot.ly/t/using-one-slider-to-control-multiple-subplots-not-multiple-traces/13955/4 Example (second link): import plotly.graph_objs as go from plotly.tools import make_subplots fig = make_subplots(1, 2) fig.add_scatter(y=[1, 3, 2], row=1, col=1, visible=True) fig.add_scatter(y=[3, 1, 1.5], row=1, col=1, visible

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

问题 I am trying to create a Marimekko chart in R using Plotly. Essentially, this is just a stacked, variable-width bar chart with both bars directly adjacent to one another. Currently, my attempt looks like this: The code to create it is here: bar.test <- plot_ly(type = "bar") %>% layout(title = paste0("Newark Charter vs District BTO Makeup"), xaxis = list(title = ""), yaxis = list(title = "Percent BTO", tickformat = "%")) %>% add_trace(x = ~test1$sch.type, y = ~test1$y, width = ~test1$width,

问题 I am trying to create a Marimekko chart in R using Plotly. Essentially, this is just a stacked, variable-width bar chart with both bars directly adjacent to one another. Currently, my attempt looks like this: The code to create it is here: bar.test <- plot_ly(type = "bar") %>% layout(title = paste0("Newark Charter vs District BTO Makeup"), xaxis = list(title = ""), yaxis = list(title = "Percent BTO", tickformat = "%")) %>% add_trace(x = ~test1$sch.type, y = ~test1$y, width = ~test1$width,

问题 I am trying to create a Marimekko chart in R using Plotly. Essentially, this is just a stacked, variable-width bar chart with both bars directly adjacent to one another. Currently, my attempt looks like this: The code to create it is here: bar.test <- plot_ly(type = "bar") %>% layout(title = paste0("Newark Charter vs District BTO Makeup"), xaxis = list(title = ""), yaxis = list(title = "Percent BTO", tickformat = "%")) %>% add_trace(x = ~test1$sch.type, y = ~test1$y, width = ~test1$width,

问题 I am new to r-plotly and trying to figure out how to handle clicks which are not on the data. It seems that using event_data("plotly_click") I get events that are on points from the data, but so far have not figured out how to do this for clicks which are not close to the data, but just on the white part of the plot. Shiny click events from plots can do this and I just get the x and y of the click. I want similar, but for plotly plots. Can I specify click events to be from anywhere on the

问题 I'm working with Plotly in R to develop a Shiny web app. I've put together an interactive scatterplot and configured the hovertext with the information I want. My implementation is as follows: plot_ly(data=partition, x=~get(x), y=~get(y), color=~SenderS, colors="Set1", text=~paste("Link(s): <a href='", partition$Link,"'>", partition$Link, "</a>", "<br>Date: ", partition$Date, "<br>Parties: ", partition$SenderS, " to ", partition$Target, "<br>", x_og, ": ", partition[,x], "<br>", y_og, ": ",

问题 Goal: To create interactive dropdown/buttons to update the axes' scale for a Plotly figure from R. Issue: There is a lot of documentation on creating buttons and log plots using layout and updatemenus ; however, it was difficult to find one that described how a button could be added specifically for changing the scale of the axes. Some posts on stackoverflow provided solutions for doing this in python but I struggled to find an equivalent one for R. I have provided a solution/example here

问题 Goal: To create interactive dropdown/buttons to update the axes' scale for a Plotly figure from R. Issue: There is a lot of documentation on creating buttons and log plots using layout and updatemenus ; however, it was difficult to find one that described how a button could be added specifically for changing the scale of the axes. Some posts on stackoverflow provided solutions for doing this in python but I struggled to find an equivalent one for R. I have provided a solution/example here