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Package rgl includes a very useful function ellipse3d , which can return an ellipsoid that cover like 95% percent of the points in 3D. Then this object can be used in rgl::plot3d to plot it out. My question is that is it possible to convert the output of ellipse3d to something that can be plotted through js plotting packages like plotly? library(rgl) dt <- cbind(x = rnorm(100), y = rnorm(100), z = rnorm(100)) ellipse <- ellipse3d(cov(dt)) plot3d(dt) plot3d(ellipse, add = T, color = "red", alpha = 0.5) Then what can I do to plot the ellipsoid through plotly? You can extract the coordinates of

Problem I'm trying to combine two Python Plotly features. One of them is a drop down menu where a user can switch between plots ( link to examples ). The other feature is subplots. My attempt I have working code that uses the dropdown menu, but it doesn't have subplots. So I looked up how to create subplots here and I thought I could treat a tools.make_subplots figure the same way I treated a go.Box figure. I'm sorry if this seems naive, I'm actually fairly new to Plotly. However, this attempt is not working at all, I'm seeing two exceptions rise which I've put at the very bottom. My Working

import matplotlib.pyplot as plt import numpy as np import plotly.plotly as py from plotly.graph_objs import * py.sign_in('uname', 'pass') trace1 = Scatter( x=[1,2,3,4,5,6,7,8], y=[24,25,30,21,33,31,30,29], mode='lines', xaxis='x1', ) layout = Layout( title="My first plot", yaxis=YAxis( title = "y1" ), xaxis=XAxis( title= 'x1', anchor = 'x2' ), xaxis2=XAxis( title= 'x2', side = 'top', overlaying = 'y' ), ) data = [trace1] fig = Figure(data=data, layout=layout) plot_url = py.plot(fig) I am trying to create a second X axis on the top of the plot (let's call it x2). I want it to be linked to x1

Creating multiple subplots using plotly is both easy and elegant. Consider the following example that plots two series from a dataframe side by side: Plot: Code: # imports from plotly.subplots import make_subplots import plotly.figure_factory as ff import plotly.graph_objs as go import pandas as pd import numpy as np # data np.random.seed(123) frame_rows = 40 n_plots = 6 #frame_columns = ['V_'+str(e) for e in list(range(1,n_plots+1))] frame_columns = ['V_1', 'V_2'] df = pd.DataFrame(np.random.uniform(-10,10,size=(frame_rows, len(frame_columns))), index=pd.date_range('1/1/2020', periods=frame

So I have hours = [x for x in range(7,18)] columns = [1, 2, 3, 4, 5] matrixDatos = [[0,1,0,1,0], [0,1,0,1,1], [2,3,2,3,2], [2,3,2,3,3], [4,5,4,5,4], [4,5,4,5,5], [6,7,6,7,6], [6,7,6,7,7], [8,9,8,9,8], [8,9,8,9,8] ] table = ff.create_table(matrixDatos) fig = ff.create_annotated_heatmap(matrixDatos, x=columns, y=hours, colorscale='Viridis') But it prints the heatmap with the y axis from 18 to 7 is there a way to print it from 7 to 18? Hi I tried the code provided, I was getting an error saying that number of Y-axis (hours) does not equal the number of Z-axis (matrixDatos). So I reduced the range

the given script simply creates a process map diagram showing the flow of events in R. This field of study is called event log mining or process mining. I wish to know any other packages or functionality in R using which I can create similar maps and also make them interactive like ggplotly. Please help me with some links if possible. Thanks and please help. library(bupaR) library(edeaR) library(eventdataR) library(processmapR) library(processmonitR) library(xesreadR) library(petrinetR) patients %>% process_map() 来源： https://stackoverflow.com/questions/46602433/creating-process-map-diagrams