plotly

问题 I have a plotly graph made in ggplot2. I am displaying the graphics using face_grid but the y axis is very long. Because of this not all the words on the y axis are visible. Is there a way to split the text into two lines such that the entire y axis is visible? majors.sub.HS<- majors.sub[, c(8:10, 66)] majors.sub.HS<-melt(majors.sub.HS, id.vars = "Major" ) majors.sub.HS$value[majors.sub.HS$value=="5- Highly Supported"] <- 5 majors.sub.HS$value[majors.sub.HS$value=="1- Not Supported"] <- 1

问题 I have a plotly graph made in ggplot2. I am displaying the graphics using face_grid but the y axis is very long. Because of this not all the words on the y axis are visible. Is there a way to split the text into two lines such that the entire y axis is visible? majors.sub.HS<- majors.sub[, c(8:10, 66)] majors.sub.HS<-melt(majors.sub.HS, id.vars = "Major" ) majors.sub.HS$value[majors.sub.HS$value=="5- Highly Supported"] <- 5 majors.sub.HS$value[majors.sub.HS$value=="1- Not Supported"] <- 1

问题 I have done this diagram on plotly And I want to delete the empty gap, to display only the x that have a value, and to hide the x where there isn't any value How am I supposed to do that ? Here is my code : go.Bar(name=i,x=listeDepartement,y=listePPA)) fig = go.Figure(data=bar) fig.update_layout(barmode='stack') fig.write_html('histogram.html',auto_open=True) fig.show() 回答1: The reason why this happens is that plotly interprets your x-axis as dates, and makes a timeline for you. You can avoid

问题 I am trying to create a Dash dashboard where dropdown options in one box are dependent on the previous dropdown selection. The data consists of two dictionaries, with two keys each. Each key contains a dataframe with a couple of columns. The exact data: from jupyter_dash import JupyterDash import dash_core_components as dcc import dash_html_components as html from dash.dependencies import Input, Output, State, ClientsideFunction import dash_core_components as dcc import dash_html_components

问题 I am trying to create a Dash dashboard where dropdown options in one box are dependent on the previous dropdown selection. The data consists of two dictionaries, with two keys each. Each key contains a dataframe with a couple of columns. The exact data: from jupyter_dash import JupyterDash import dash_core_components as dcc import dash_html_components as html from dash.dependencies import Input, Output, State, ClientsideFunction import dash_core_components as dcc import dash_html_components

问题 I'm trying to plot a simple sphere with plotly.js. However when using the mesh3d option the plot of the sphere comes out looking very rough and unrefined. Any advice on how to smooth it out would be appreciated. a = []; b = []; c = []; phiArr = []; thetaArr = []; function makeInterval(startValue, stopValue, numPoints) { var arr = []; var step = (stopValue - startValue) / (numPoints - 1); for (var i = 0; i < numPoints; i++) { arr.push(startValue + (step * i)); } return arr; } phiArr =

问题 I am working with the R programming language. Using this previously asked question on stackoverflow ( Slider for Plotly R), I was able to make a "slider animation" (using the "plotly" library) for different values of (a variable called) "var" within the data set: #load libraries library(plotly) library(dplyr) library(ggplot2) #generate data var = rnorm(731, 100,25) date= seq(as.Date("2014/1/1"), as.Date("2016/1/1"),by="day") data = data.frame(var,date) #aggregate data aggregate = data %>%

问题 I have the following plot using ggplot2 and plotly . However, the plotly image does not display the shaded areas I've inserted using geom_rect . I'm guessing that this is because plotly doesn't support geom_rect , does anyone have a workaround to solve this? Here is my code library(rmsfuns) packages <- c('ggplot2','ggthemes','lubridate', 'readxl','plotly', 'dplyr','tidyr', 'scales') load_pkg(packages) min <- as.Date('2015-01-01') max <- as.Date('2020-07-01') p1 <- ggplot(pmi_data, aes(Date

问题 I have the following plot using ggplot2 and plotly . However, the plotly image does not display the shaded areas I've inserted using geom_rect . I'm guessing that this is because plotly doesn't support geom_rect , does anyone have a workaround to solve this? Here is my code library(rmsfuns) packages <- c('ggplot2','ggthemes','lubridate', 'readxl','plotly', 'dplyr','tidyr', 'scales') load_pkg(packages) min <- as.Date('2015-01-01') max <- as.Date('2020-07-01') p1 <- ggplot(pmi_data, aes(Date

问题 Currently I am trying to use Plotly to make a live pie chart with data coming in from a websocket connection. However, I cant seem to get the data from the socket to the graph. Right now I see two ways of doing it. One is to get the data out of the onmessage function, such as returning a value to the parent function. The other is putting the Plotly code into the onmessage function. Neither are currently working. I'm not planning on talking about getting data out of the onmessage function in