plotly

问题 Thanks in advance for any advice you can offer! I'm hoping to be able to relabel "count" in the tooltip for a public facing interactive plot. Here's a reproducible example: library(plotly) df <- data.frame(cat=c(rep("A", 5), rep("B", 7), rep("C", 10)), time=c(rep("Time1", 3), rep("Time2", 13), rep("Time3", 6))) ggplotly(ggplot(df, aes(x=time, fill=cat)) + geom_bar(position = "fill")) I know I can control the time and category labels in the tooltip with text=paste("Category:", cat, "Time:"

问题 Thanks in advance for any advice you can offer! I'm hoping to be able to relabel "count" in the tooltip for a public facing interactive plot. Here's a reproducible example: library(plotly) df <- data.frame(cat=c(rep("A", 5), rep("B", 7), rep("C", 10)), time=c(rep("Time1", 3), rep("Time2", 13), rep("Time3", 6))) ggplotly(ggplot(df, aes(x=time, fill=cat)) + geom_bar(position = "fill")) I know I can control the time and category labels in the tooltip with text=paste("Category:", cat, "Time:"

问题 I am creating a shiny application that displays several graphics. And I will like through a button download, download all graphs display I do the following: server = function(input, output) { df<-data.frame(q=c(1,3,5,7,9),w=c(2,4,6,8,10),z=c(1,2,3,4,5)) # output all plot output$p1 <- renderPlot({ ggplot(df,aes(x=q,y=w)) + geom_point() }) output$p2 <- renderPlot({ ggplot(df,aes(x=z,y=w))+geom_point() }) output$p3 <- renderPlot({ ggplot(df,aes(x=q,y=z))+geom_point() }) # Here is my function to

问题 Would like to find out, is it possible to deploy Plotly Dash App dashboard on a different windows server? So as users can access through the server IP? Thanks 回答1: Yes, you can specify arguments for the Werkzeug server: app.run_server(host="<ipaddress>") If you're talking about deployment though I would consider using Waitress, Gunicorn or uWSGI (some discussion here) 来源： https://stackoverflow.com/questions/61652046/deploy-plotly-dash-dashboard-on-a-different-windows-server

问题 Would like to find out, is it possible to deploy Plotly Dash App dashboard on a different windows server? So as users can access through the server IP? Thanks 回答1: Yes, you can specify arguments for the Werkzeug server: app.run_server(host="<ipaddress>") If you're talking about deployment though I would consider using Waitress, Gunicorn or uWSGI (some discussion here) 来源： https://stackoverflow.com/questions/61652046/deploy-plotly-dash-dashboard-on-a-different-windows-server

问题 I am looking for a way to imitate the hist method of pandas.DataFrame using plotly. Here's an example using the hist method: import seaborn as sns import matplotlib.pyplot as plt # load example data set iris = sns.load_dataset('iris') # plot distributions of all continuous variables iris.drop('species',inplace=True,axis=1) iris.hist() plt.tight_layout() which produces: How would one do this using plotly? 回答1: Plotly has a histogram function built in so all you have to do is write px.histogram

问题 I am using the R programming language. Using the following tutorial : https://plotly.com/r/time-series/ and this stackoverflow question : How to plot multiple series/lines in a time series using plotly in R? I was able to make an interactive time series plot: library(xts) library(ggplot2) library(dplyr) library(plotly) library(lubridate) #time series 1 date_decision_made = seq(as.Date("2014/1/1"), as.Date("2016/1/1"),by="day") property_damages_in_dollars <- rnorm(731,100,10) final_data <-

问题 When I use Plotly express to plot different parameters with different ranges - in the example below, BloodPressureHigh, Height(cm), Weight(kg), and BloodPressureLow - using the facet_col argument, I am unable to get the resulting plot to display the unique YTicks for each of the faceted plots. Is there an easy method for the fig object to show each set of YTicks in the resulting faceted plot? Otherwise, as you can see in the resulting image, it is unclear that each box plot is on its own

问题 When I use Plotly express to plot different parameters with different ranges - in the example below, BloodPressureHigh, Height(cm), Weight(kg), and BloodPressureLow - using the facet_col argument, I am unable to get the resulting plot to display the unique YTicks for each of the faceted plots. Is there an easy method for the fig object to show each set of YTicks in the resulting faceted plot? Otherwise, as you can see in the resulting image, it is unclear that each box plot is on its own

问题 I already wrote below nested loops to generate 21 charts with success (one chart for each country, for example german gas austrian gas) dfs is a dict with 21 countries names as keys and their respective gas storage dfs as values for country in list(dfs_storage.keys()): df_country=dfs_storage[country] month = list(set(df_country['month'])) fig = go.Figure() for year in set(df_country['year']): workingGasVolume_peryear=df_country.loc[df_country['year']==year,'workingGasVolume'] gasInStorage