plotly

问题 I am working the R programming language. I am trying to follow this tutorial over here: https://plotly.com/r/parallel-coordinates-plot/ I am trying to make a "parallel coordinate plot" of the famous iris data set. Instead of loading the iris data set through the github link, I tried to use the built in iris data set that is available in R: #load library library(plotly) #load data data(iris) df = iris #make plot fig <- df %>% plot_ly(type = 'parcoords', line = list(color = ~Species, colorscale

问题 I am working the R programming language. I am trying to follow this tutorial over here: https://plotly.com/r/parallel-coordinates-plot/ I am trying to make a "parallel coordinate plot" of the famous iris data set. Instead of loading the iris data set through the github link, I tried to use the built in iris data set that is available in R: #load library library(plotly) #load data data(iris) df = iris #make plot fig <- df %>% plot_ly(type = 'parcoords', line = list(color = ~Species, colorscale

问题 Here is my data: set.seed(42) mydata = data.frame(A = rnorm(20), B = rnorm(20), Index = sample(190:400,20)) I am trying to divide the data into 20 different intervals based on the Index value and then color the scatter points according to their interval value . Below is my code. It is not working perfectly. cols = colorRampPalette(c("red", "black"), space = "rgb")(20) mydata$interval = cut(mydata$Index,breaks = 20) mydata$cols = cols[mydata$interval] require(plotly) x = list(title = "A") y =

问题 I am working with the R programming language. Normally when I make plots, I am using the ggplot2 library and the aes() options can be used to label the x-axis and add a title. However this time, I the plots I am making are not ggplot2 objects, and therefore can not be labelled in the same way: library(MASS) library(plotly) a = rnorm(100, 10, 10) b = rnorm(100, 10, 5) c = rnorm(100, 5, 10) d = matrix(a, b, c) parcoord(d[, c(3, 1, 2)], col = 1 + (0:149) %/% 50) #error - this is also apparent

问题 For convenience, I transfer the retention graph from Seaborn to Plotly, so that I can apply shapes to it later. The plotly library seems to be suitable for this.graph_objects, but I don't understand how to pass DataFrame data. import pandas as pd import numpy as np import seaborn as sns import plotly as ply import matplotlib.pyplot as plt import plotly.graph_objects as go df=pd.DataFrame(index=['01.2020','02.2020','03.2020','04.2020','05.2020','06.2020'], data={0:[1,1,1,1,1,1], 1:[0.58, 0.88,

问题 For convenience, I transfer the retention graph from Seaborn to Plotly, so that I can apply shapes to it later. The plotly library seems to be suitable for this.graph_objects, but I don't understand how to pass DataFrame data. import pandas as pd import numpy as np import seaborn as sns import plotly as ply import matplotlib.pyplot as plt import plotly.graph_objects as go df=pd.DataFrame(index=['01.2020','02.2020','03.2020','04.2020','05.2020','06.2020'], data={0:[1,1,1,1,1,1], 1:[0.58, 0.88,

问题 here is a link to my data https://docs.google.com/document/d/1oIiwiucRkXBkxkdbrgFyPt6fwWtX4DJG4nbRM309M20/edit?usp=sharing My problem is that when I run this in a Jupyter Notebook. I get just the USA map with the colour bar and the lakes in blue. No data is on the map, not the labels nor the actual z data. Here is my header: import plotly.graph_objs as go import cufflinks as cf from plotly.offline import download_plotlyjs, init_notebook_mode, plot, iplot %matplotlib inline init_notebook_mode

问题 here is a link to my data https://docs.google.com/document/d/1oIiwiucRkXBkxkdbrgFyPt6fwWtX4DJG4nbRM309M20/edit?usp=sharing My problem is that when I run this in a Jupyter Notebook. I get just the USA map with the colour bar and the lakes in blue. No data is on the map, not the labels nor the actual z data. Here is my header: import plotly.graph_objs as go import cufflinks as cf from plotly.offline import download_plotlyjs, init_notebook_mode, plot, iplot %matplotlib inline init_notebook_mode

问题 I want to update my bar chart using a slider bar for the values of each bar. However, I want the bars to dynamically change as the slider changes. I have achieved this using oninput . Currently, I have the following, which is quite laggy. HTML <head> <!-- Plotly.js --> <script src="https://cdn.plot.ly/plotly-latest.min.js"></script> </head> <body> <h1> Plotly Test</h1> <div id="PlotlyTest" style="width: 480px; height: 400px;"><!-- Plotly chart will be drawn inside this DIV --></div> <p>

问题 I'm trying to reproduce the ggplot geom_bar example I found here. The code is rather simple library(ggplot2) library(plotly) dat <- data.frame( time = factor(c("Lunch","Dinner"), levels=c("Lunch","Dinner")), total_bill = c(14.89, 17.23)) # No legend, since the information is redundant ggplot(data=dat, aes(x=time, y=total_bill, fill=time)) + geom_bar(colour="black", stat="identity") + guides(fill=FALSE) ggplotly() In the ggplot the fill-legend is hidden as expected but the plotly differs from