scatter3d

问题 This question already has an answer here : Building plotly graph in for loop not displaying all series (1 answer) Closed 3 years ago . I want to plot multiple traces in a loop without overwriting all previous traces. In this post from 2015, a solution to adding traces within a loop is presented, by setting evaluate = TRUE in the plot_ly or add_trace functions. However, as of 2017 in the newer version of plot_ly, evaluate isn't an attribute. 'scatter3d' objects don't have these attributes:

问题 This question already has an answer here : Building plotly graph in for loop not displaying all series (1 answer) Closed 3 years ago . I want to plot multiple traces in a loop without overwriting all previous traces. In this post from 2015, a solution to adding traces within a loop is presented, by setting evaluate = TRUE in the plot_ly or add_trace functions. However, as of 2017 in the newer version of plot_ly, evaluate isn't an attribute. 'scatter3d' objects don't have these attributes:

问题 I am trying to add interactivity to a plotly 3d scatter plot which I am hosting using dash. My question contains two related parts: (i) I would like to manually select points in my 3d scatter and change the selected points' colour to red. Selection should include click event and selection event. (ii) I would like to be able to delete these points from the plot on pressing of a key e.g. 'delete' key. Part (i) is similar to an example in the plotly guide https://plot.ly/python/click-events/,

来源： https://stackoverflow.com/questions/37521910/set-zlim-in-matplotlib-scatter3d

问题 Please see this example. Look at y axis. The data there has only two levels: 1 and 2 . But in the plot 6 tickmarks drawn on that axis. How could I fix that. The x axis has the same problem. The data extra group ID 1 0.7 1 1 2 -1.6 1 2 3 -0.2 1 3 4 -1.2 1 4 5 -0.1 1 5 6 3.4 1 6 7 3.7 1 7 8 0.8 1 8 9 0.0 1 9 10 2.0 1 10 11 1.9 2 1 12 0.8 2 2 13 1.1 2 3 14 0.1 2 4 15 -0.1 2 5 16 4.4 2 6 17 5.5 2 7 18 1.6 2 8 19 4.6 2 9 20 3.4 2 10 The script require('mise') require('scatterplot3d') mise() #

问题 When using Plotly Scatter3D , the default mouse hover-over effect displays a kind of coordinate crosshairs. Is there a way to remove this effect and just show the tooltip? 回答1: The hover effect causing the lines to show up on the axis are called spikes in Plotly. You can disable them via layout = {'scene': {'xaxis': {'showspikes': False}}} . Interactive Javascript example: Plotly.d3.csv('https://raw.githubusercontent.com/plotly/datasets/master/3d-scatter.csv', function(err, rows) { function

问题 My program plots the positions of particles in my file for every time step. Unfortunately it gets slower and slower although I used matplotlib.animation . Where is the bottleneck? My data file for two particles looks like the following: # x y z # t1 1 2 4 # 4 1 3 # t2 4 0 4 # 3 2 9 # t3 ... My script: import numpy as np import matplotlib.pyplot as plt from mpl_toolkits.mplot3d import Axes3D import mpl_toolkits.mplot3d.axes3d as p3 import matplotlib.animation as animation # Number of particles

问题 Just a short moment ago my question on how to embed an rgl in shiny was answered by Mike, but we seem to have stumbled into another issue, This is the code example: library(rgl) library(car) library(shiny) cars$time <- cars$dist/cars$speed ui <- fluidPage( hr("how do we get the plot inside this app window rather than in a popup?"), rglwidgetOutput("plot", width = 800, height = 600) ) server <- (function(input, output) { output$plot <- renderRglwidget ({ rgl.open(useNULL=F) scatter3d(x=cars

问题 I have a question that might be easy for a person who is expert in R plot. I need to draw 3D plot in R. My data is as follows: df <- data.frame(a1 = c(489.4, 505.8, 525.8, 550.2, 576.6), a2 = c(197.8, 301, 389.8, 502, 571.2), b1 = c(546.8, 552.6, 558.4, 566.4, 575), b2 = c(287.2, 305.8, 305.2, 334.4, 348.6), c1 = c(599.6, 611.4, 623.6, 658, 657.4), c2 = c(318.8, 423.2, 510.8, 662.4, 656), d1 = c(616, 606.8, 600.2, 595.6, 595), d2 = c(242.4, 292.8, 329.2, 378, 397.2), e1 = c(582.4, 580, 579,

问题 I am looking to take advantage of the awesome features in Plotly but I am having a hard time figuring out how to add a regression plane to a 3d scatter plot. Here is an example of how to get started with the 3d plot, does anyone know how to take it the next step and add the plane? library(plotly) data(iris) iris_plot <- plot_ly(my_df, x = Sepal.Length, y = Sepal.Width, z = Petal.Length, type = "scatter3d", mode = "markers") petal_lm <- lm(Petal.Length ~ 0 + Sepal.Length + Sepal.Width, data =