plotly

问题 This is a follow up question on the answer provided for Add onclick open hyperlink event to an html widget created in R. Consider the following example: library(ggplot2) library(plotly) library(htmlwidgets) library(htmltools) myData <- data.frame( x=c(1,2,3), y=c(3,2,1), label=c("Google", "Bing", "R"), category=c("search", "search", "other"), urls=c("http://google.de", "http://bing.com", "http://r-project.org") ) f <- function(p) { ply <- ggplotly(p) javascript <- HTML(paste(" var myPlot =

问题 I'm looking to create a plotly chart where the colors of each slice another variable in the dataframe. This is pretty simple to do in ggplot2, however, I'm struggling to convert this to plotly. My sample code is here: Product <- c("Product1","Product2","Product3","Product4","Product5","Product6","Product7") Value <- c(1000000,200002,599996,1399994,2199992,2999990,3799988) Rating = c(0.24, 0.28, 0.17, 0.1, 0.5, 0.6, 0.34) df <- data.frame(Product,Value, Rating) plot_ly(df, labels = ~Product,

问题 When I run the following: interactive_plot <- plot_ly( data = vep_wes_aff_rare_summary, x = ~n, y = ~mean_af, type = "scatter", mode = "markers", hoverinfo = "text", text = ~paste("Var: ", rsIDs, '<br><br>Cases:', n, '<br><br>Mean_AF:', mean_af), color = ~mean_af, size = ~n, marker = list(sizeref=0.1) )%>% layout( title = 'SFARI - SCN2A Variants<br>WES SNPs/ Indels filtered by VEP(High/ Mod)', xaxis = list(type = "log", title = "Cases", family='Courier New',size=22, color='#7f7f7f'), yaxis =

问题 I have a problem with tooltips not showing depending on the size of the chart/browser window. This originally looked to me like a problem with facet charts but the behaviour is also evident on regular/single charts. I've done a lot of searching for this and not found anything so far. There is a similar post over on plotly forums with no answers as of yet. Here is an MRE for a single chart (HT)... require(ggplot2) require(plotly) randomName <- function(n) { random.string <- rep(NA, n)

问题 I am using Plotly+Python. How can I plot a single vector, as represented by an arrow, in 3D? Annotations (which would have been a hacky workaround) are 2D-only, and Quiver plots are also 2D-only. 回答1: As Mike Wise mentioned, it is not possible to do it straight forwardly, nevertheless, you can compute your vector and then plot it by drawing the line to the origin: For example: Plot some points in 3D and draw a vector corresponding to the centroid of those points import plotly.graph_objs as go

问题 I have a requirement, where I need to plot a plotly graph with two axes x and y . Is it possible to add another parameter to that graph (say z ) without plotting it in the graph? For example, if water boils at 100 o C at time 5 AM, I want to plot time in X and degrees at Y and the word 'Water' to be added when hovering over that point. UPDATE: In the below image, there are two points of a dataframe being shown when hovered about that point, now I want to know if its possible to add another

问题 I am trying to create a mesh3D plot in plotlyR using R studio but I am having problems with how to create a colour scale to my mesh. I have a nice mesh plot using the code, zmean <- apply(faces, MARGIN=1, function(row){mean(points[row,3])}) facecolor = colour_ramp( brewer_pal(palette="RdBu")(9) )(rescale(x=zmean)) (the above I found from, a website just to make it plot, but it is not the mesh colour scale I want)http://moderndata.plot.ly/trisurf-plots-in-r-using-plotly/http://moderndata.plot

问题 I have a plot where I have first trace in gray that will be overplotted by other traces in colors. My issue is that in plotly -version 4.7.1. as well as in version 4.8.0. I can't adjust the color. One year ago this code would work: mysim=data.frame(x=rep(1:4,4),y=rbinom(16,10,0.5),id=rep(1:4,each=4)) my_colors<-c( ## add the standard plotly colors '#1f77b4', #// muted blue '#ff7f0e', #// safety orange '#2ca02c', #// cooked asparagus green '#d62728' #// brick red ) plot_ly() %>% add_trace(x=1

问题 I stumbled upon this post and used the modification mentioned in the comment of the final answer for my own program. But before I tried to test it with the following code: import dash import dash_core_components as dcc import dash_html_components as html import plotly.graph_objs as go import pandas as pd app = dash.Dash() daterange = pd.date_range(start='1994',end='2018',freq='W') app.layout = html.Div(children=[ html.H1('Range Slider Testing'), html.Div( [ html.Label('From 1994 to 2018', id=

问题 I am looking at the 'Pie Chart Subplots' section (last one on page) of the following tutorial https://plot.ly/python/pie-charts/. I cant figure out how to understand the domain variable when it comes to plotting multiple graphs at once. For instance: { 'labels': ['1st', '2nd', '3rd', '4th', '5th'], 'values': [38, 27, 18, 10, 7], 'type': 'pie', 'name': 'Starry Night', 'marker': {'colors': ['rgb(56, 75, 126)', 'rgb(18, 36, 37)', 'rgb(34, 53, 101)', 'rgb(36, 55, 57)', 'rgb(6, 4, 4)']}, 'domain':