plotly

问题 I am looking to get this gradient colors on the map: ramp <- colorRamp(c("royalblue4", "white")) ramp.list <- rgb( ramp(seq(0, 1, length = 15)), max = 255) But also, and more important, I am looking to add plotly charactheristics to the graph (specially hovering text output). This is my data: structure(list(V1 = structure(c(9L, 8L, 4L, 7L, 2L, 6L, 1L, 3L, 5L, 10L, 13L, 11L, 12L), .Label = c("Apple", "Avocado", "Banana", "Carrot", "Mango", "Mushroom", "Onion", "Orange", "Pineapple",

问题 I have a plotly bar chart, from a dataframe: fig = df.iplot(asFigure=True, kind='bar', barmode = 'relative') py.iplot(fig) Is it possible to turn one of the columns in the data frame into a line series? 回答1: The suggested link in the comments does have some valuable resources, but they won't answer your questions directly. iplot() uses a pandas dataframe as input, and produces a stacked barplot. Here's an approach that will let you do exactly that, albeit without using df.iplot() First, the

问题 I am trying to plot a nested pie chart, but the output didn't reflect the reality. Let's say: library('plotly') library('dplyr') data <- data.frame(c('cat', 'dog', 'deer','chicken', 'cat', 'dog','duck', 'monkey', 'fish','cow','horse','dog'),c('US', 'US', 'US','US', 'UK', 'UK','UK', 'UK','China','China','China','China'),c(15,70,120,55,47,300,89,62,40,27,103,8)) colnames(data) <- c('animal', 'country', 'total_num') p <- plot_ly(data) %>% add_pie(labels = ~animal, values = ~total_num, type =

问题 I am trying to plot a nested pie chart, but the output didn't reflect the reality. Let's say: library('plotly') library('dplyr') data <- data.frame(c('cat', 'dog', 'deer','chicken', 'cat', 'dog','duck', 'monkey', 'fish','cow','horse','dog'),c('US', 'US', 'US','US', 'UK', 'UK','UK', 'UK','China','China','China','China'),c(15,70,120,55,47,300,89,62,40,27,103,8)) colnames(data) <- c('animal', 'country', 'total_num') p <- plot_ly(data) %>% add_pie(labels = ~animal, values = ~total_num, type =

问题 Plotly Express allows me to easily plot a pandas dataframe, as explained in their examples. Rather than using a named column for x and a named column for y, I would like to use the dataframe's index for x and a named column for y. Example using named columns import plotly.express as px iris = px.data.iris() fig = px.scatter(iris, x="sepal_width", y="sepal_length") fig.show() What i want (bogus example) import plotly.express as px iris = px.data.iris() fig = px.scatter(iris, x="index", y=

问题 I'm trying to make a annotated heatmap on plotly. import plotly.plotly as py import plotly.tools as tls from plotly.graph_objs import * import numpy as np import pandas as pd import matplotlib.pyplot as plt df = pd.read_csv('masterc.csv') locations = {} anno = [] for i in range(df.shape[0]): locations.setdefault((df.iat[i,2],df.iat[i,6]),0) locations[(df.iat[i,2],df.iat[i,6])]+=df.iat[i,8] x1 = [] y1 = [] z1 = [] z1_text = [] for key in locations.keys(): if key[0] not in x1: x1 += [key[0],]

问题 I am using Plotly and Jupyter to generate some visuals to better understand user journeys online. I am using the Plotly sunburst chart since this makes a great visual for that purpose. Plotly provides an example that works great and provides the visual that I am looking to produce with my own data. I have created a dataframe that mirrors the example but when I try to use .show() no chart is produced. It appears to run fine (no errors) and produces white space where the chart should be but not

问题 Does anyone here have an example of showing an image when hovered on a plot or any package which can do this? I have tried something but it will show url only but not the image.I know this code is just encasing the URL. How can I build a div to show the image. library(shiny) library(shinydashboard) library(DT) library(dplyr) library(plotly) # Data ------------------------------------------------------------------ dt <- data.frame(fruits = c("apple","banana","oranges"), rank = c(11, 22, 33),

问题 I have 5 continuous variables that I'd like to graph together in R plotly. I wrote the following code and got the plot to run as expected, but I cannot figure out how to deal with the legends. As is, the color legend appears, but the size legend does not. I would like to plot both legends and control their locations within the plot. Suggestions from a similar post Adding color and bubble size legend in R plotly do not solve the problem. Here's the code and sample data: x<-sample(30) y<-sample

问题 I have 5 continuous variables that I'd like to graph together in R plotly. I wrote the following code and got the plot to run as expected, but I cannot figure out how to deal with the legends. As is, the color legend appears, but the size legend does not. I would like to plot both legends and control their locations within the plot. Suggestions from a similar post Adding color and bubble size legend in R plotly do not solve the problem. Here's the code and sample data: x<-sample(30) y<-sample