plotly

Using plotly I would like to have each surface to have different colour. library(plotly) t1 <- seq(-3, 3, 0.1); t2 <- seq(-3, 3, 0.1) p1 <- matrix(nrow = length(t1), ncol = length(t2)) p2 <- matrix(nrow = length(t1), ncol = length(t2)) p8a1 <- 1.2 p8a2 <- 1 p8d <- -1 p8b1 <- 0.7 p8b2 <- 0.6 for (i in 1:length(t2)) { for (j in 1:length(t1)) { p1[i, j] <- 1 / (1 + exp(-1.7 * (p8a1 * t1[j] + p8a2 * t2[i] + p8d))) p2[i, j] <- (1 / (1 + exp(-1.7 * p8a1 * (t1[j]- p8b1)))) * (1 / (1 + exp(-1.7 * p8a2 * (t2[j]- p8b2)))) } } df1 <- list(t1, t2, p1) df2 <- list(t1, t2, p2) names(df1) <- c("t1", "t2",

I am trying to use ggplotly to add interactivity to my ggplot chart. I have tried running this in both RStudio and from the command line, with the same results. Data: library(plotly) df1 <- as.data.frame(list('x'=1:100,'y'=1:100,'lw'=abs(rnorm(100)))) b <- ggplot(data=df1, aes(x=x,y=y)) + geom_line(size=df1$lw) If I display b normally, i.e. > b , I get a correct plot However, if I then enter ggplotly() , I get the plot below: Using my real data, the results are even worse. Below is a plot() , which is correct, followed by ggplotly() Any idea how I can display this correctly? Although this is

I am converting ggplot2 charts using plotly and putting them in a knitr html output. Here is a working copy of the report. http://rpubs.com/kausti/NSEFO-23-Mar-2016 The first chart is plotly chart and the following ones are not. I would like them to be plotly charts but I am stuck. In the code below, plotChart function returns a ggplot2 plot. This code works! for (tick in tradeOps$ticker) { tmpDF = filter(tradeOps, ticker == tick) p = plotChart(tick = tick,Entry = tmpDF$Entry, Target = tmpDF$Target, SL= tmpDF$SL, TradeType = tmpDF$TradeType, data = wd) p = p + annotate("text", x = as.Date

I was wondering if there's a way to have a custom icon for plotly's pie chart instead of the usual pie division As of now I'm displaying the gender information using a pie chart which looks as below: I'm trying to make it look like the gender plot in the link below: https://app.displayr.com/Dashboard?id=c1506180-fe64-4941-8d24-9ec4a54439af#page=3e133117-f3b2-488b-bc02-1c2619cf3914 The plotly code is as under: plot_ly(genderselection, labels = ~Gender, values = ~Freq, type = 'pie') %>% layout(title = paste0("Gender Distribution of Patients from Boston"), xaxis = list(showgrid = FALSE, zeroline

I am new to plot.ly and I just drew my first scatter plot out of R the other day - its great! testplot <- ggplot(a, aes(OR_Edu, OR_Illn, color=Country, size=total)) + geom_point() py$ggplotly(testplot) https://plot.ly/~SyTpp/14/or-illn-vs-or-edu/ Now, I would like to change the tooltip or the little info window that pops up on hover over a datapoint. In this case I am not interested in the y-coordinate but instead I would like to display the country name and the population size, which I mapped to the aestectic size. Ideally I would like to know if/how I can customize the infowindow in general,

I am not sure if this is possible, but here is what I would like to do. I would like to update the data in a plotly plot by selecting from a dropdown menu. As a simple example, let's assume I have a data frame df <- data.frame(x = runif(200), y = runif(200), z = runif(200)) from which I use df$x and df$y in a scatter plot. Two scenarios of data manipulation I would like to achieve using a dropdown: Replace df$y with df$z Plot only the first n values of df$x and df$y I looked at the following two examples, which I can easily reproduce: https://plot.ly/r/dropdowns/ However, I have no idea how to

How can I display interactive plotly graphs in Pycharm? I run the following code: import plotly.offline as py import plotly.graph_objs as go py.init_notebook_mode(connected=True) data = [go.Bar( x=['giraffes', 'orangutans', 'monkeys'], y=[20, 14, 23] )] py.iplot(data, filename="barplot") The result in PyCharm is a blank field: In Jupyter Notebook this code gives a (proper) interactive chart as the result. Update: Answers from Embed Plotly HTML in PyCharm IDE don't work for me. When I use the plot() function (instead of the iplot() ) it exports the chart into separate file and open a browser in