plotly

问题 I was learning plotly dropdown menu and stumbled on a label problem. Question How to show labels sin and sin-1 when selected Sine. And show labels tan and tan-1 when selected Tan? MWE # imports import plotly.graph_objects as go import numpy as np # data x = np.linspace(-np.pi, np.pi, 100) y1 = np.sin(x) y1b = y1-1 y2 = np.tan(x) y2b = y2-1 # plotly setup fig = go.Figure() # Add one ore more traces fig.add_traces(go.Scatter(x=x, y=y1,name='sin')) fig.add_traces(go.Scatter(x=x, y=y1b,name='sin

问题 As a follow on to a previous question Suppose I want to show a set of bars, where each bar could be one of the choices: A, B, or C, each which has a different color. I would like to show the bars, but also if none the bars fall into a particular category still have that category show up in the legend. Unfortunately the categories without colors seem to get dropped. Notice in this example how the category labeled 'C' which should be blue is dropped from the legend: data = [ { x: [1, 3, 4], y:

问题 How can I use two or more highlight functions on a ggplotly object. In the following example I want to highlight the hovered bar in black the clicked bar in blue When using 2 highlight functions, only the last one is used and it obviously overwrites the previous one. So how can I define different behaviour for click and hover-events? Data: dnew <- {structure(list(time_stamp = structure(c(1514761200, 1514847600, 1514934000, 1515020400, 1515106800, 1515193200, 1515279600, 1515366000, 1515452400

问题 How can I use two or more highlight functions on a ggplotly object. In the following example I want to highlight the hovered bar in black the clicked bar in blue When using 2 highlight functions, only the last one is used and it obviously overwrites the previous one. So how can I define different behaviour for click and hover-events? Data: dnew <- {structure(list(time_stamp = structure(c(1514761200, 1514847600, 1514934000, 1515020400, 1515106800, 1515193200, 1515279600, 1515366000, 1515452400

问题 library(ggplot2) library(plotly) dataset = data.frame(x = c(1,10, 100, 1000), y = c(1000, 100, 10, 1)) p = ggplot(data = dataset, aes(x = x, y = y)) + geom_point() + geom_line() + scale_x_log10() + scale_y_log10() ggplotly(p) With above codes, you can have a plotly graph with tooltip. The x and y axis show the original data. But the values in tooltip is shown as (0,3), (1,2), (2,2), (3,0). What I want in the tooltip is (1, 1000), (10, 100), (100, 10), (1000, 1). Is there any way to do it? 回答1

问题 library(ggplot2) library(plotly) dataset = data.frame(x = c(1,10, 100, 1000), y = c(1000, 100, 10, 1)) p = ggplot(data = dataset, aes(x = x, y = y)) + geom_point() + geom_line() + scale_x_log10() + scale_y_log10() ggplotly(p) With above codes, you can have a plotly graph with tooltip. The x and y axis show the original data. But the values in tooltip is shown as (0,3), (1,2), (2,2), (3,0). What I want in the tooltip is (1, 1000), (10, 100), (100, 10), (1000, 1). Is there any way to do it? 回答1

问题 I'd like to stop warnings in plotly without turning off warnings globally This code is going into a function so it could be run in a different session This is my code fit <- plot_ly(credit_old, y = ~score, color = ~fte, type = "box") suppressWarnings(fit) I still get Warning messages: 1: In RColorBrewer::brewer.pal(N, "Set2") : minimal value for n is 3, returning requested palette with 3 different levels 2: In RColorBrewer::brewer.pal(N, "Set2") : minimal value for n is 3, returning requested

问题 I'd like to stop warnings in plotly without turning off warnings globally This code is going into a function so it could be run in a different session This is my code fit <- plot_ly(credit_old, y = ~score, color = ~fte, type = "box") suppressWarnings(fit) I still get Warning messages: 1: In RColorBrewer::brewer.pal(N, "Set2") : minimal value for n is 3, returning requested palette with 3 different levels 2: In RColorBrewer::brewer.pal(N, "Set2") : minimal value for n is 3, returning requested

问题 I love plotly and recently plotly.express. However, I feel saving the figure is pretty tricky. How to save plotly.express or plotly plot into a individual html or static image file? Anyone can help? Thanks 回答1: Updated answer: With newer versions of plotly, static Image pxport in Python is a breeze. Just make sure to install kaleido using: pip install -U kaleido or, for Anaconda: conda install -c conda-forge python-kaleido And then run fig.write_image("<filename>") and `.pdf` are all

问题 I am working with the plotly package, and I cannot find a way to display different things on the chart itself and in the hoverinfo. Here is an example of a barchart: library(plotly) library(dplyr) data(iris) df <- iris %>% group_by(Species) %>% summarise(n = n(), avg = mean(Sepal.Length)) p1 <- plot_ly(data = df, x = ~Species, y = ~n, type = "bar", text = ~paste("Species :", Species, "<br> Avg :", avg), textposition = "auto", hoverinfo = "text") From this code I get this: And I would like to