plotly

I was trying to create annotations for grouped bar charts - where each bar has a specific data label that shows the value of that bar and is located above the centre of the bar. I tried a simple modification of the examples in tutorial to achieve this, as follows: import plotly.plotly as py import plotly.graph_objs as go x = ['Product A', 'Product B', 'Product C'] y1 = [20, 14, 23] y2 = [12, 18, 29] annotations1 = [dict( x=xi, y=yi, text=str(yi), xanchor='auto', yanchor='bottom', showarrow=False, ) for xi, yi in zip(x, y1)] annotations2 = [dict( x=xi, y=yi, text=str(yi), xanchor='auto',

I understand how to customize the hover text for scatter plots in plotly , but box plots do not accept the 'text' attribute. Warning message: 'box' objects don't have these attributes: 'text' . I have over 300 x-axis variables and there are numbered samples(1-50) in two groups(A or B) that I want to plot together in the same box plot, then I'd like to differentiate between the sample numbers and groups through hover text when moving the cursor over outliers. I'd like to have my custom data labels instead of the automatic quartile labels. Is that possible with plotly boxplots? library(plotly)

I'm using plotly for R, although I'm open to using the Python version, as well. When I hover over a datapoint, is there a way to make the popup contain another chart? Ideally the chart would be created from the data, although I can use a static image as a fallback. I'm unsure where to start on this, and apologize in advance for not having an MWE. gdlmx Solution 1: Stick to R Thanks to @MLavoie. The following example use pure R to create two plot, the "mainplot" and the "hover" which reacts to the hover event of the first one. library(shiny) library(plotly) ui <- fluidPage( plotlyOutput(

Sorry for keeping you busy with plotly questions today. Here would be another one: How would I show the legend and axes labels on plotly's new 3D scatter plots? E.g., if I have the following scatter plot in 2D that produced everything fine, I added another dimension but the axes labels don't show anymore (see code below), and the same problem with the legend. Any tips? Thanks! traces = [] for name in ('Iris-setosa', 'Iris-versicolor', 'Iris-virginica'): trace = Scatter3d( x=Y[y==name,0], y=Y[y==name,1], z=Y[y==name,2], mode='markers', name=name, marker=Marker( size=12, line=Line( color='rgba

Say you have the following df: x <- as.Date(c("1963-06-01", "1964-06-01", "1965-06-01","1966-06-01")) y <- c(1162.7, 975.4, 1280.3, 1380.0) data<- data.frame(x, y) when you plot it using ggplot, everything seems to work: ggplot(data = data, aes(x = x, y = y)) + geom_bar(stat = "identity") ggplot works However, if we add a ggplotly wrap around it, the graph disappears. ggplotly(ggplot(data = data, aes(x = x, y = y)) + geom_bar(stat = "identity")) ggplotly doesn't work I get a warning message that says: We recommend that you use the dev version of ggplot2 with ggplotly() . Now, if I remove the

I'm recreating the example choropleth and trying to add a slider that, when dragged, would change from year to year. Another user asked a similar question but they didn't receive a reply. I did some more searching and found an example where the user generated random values for the additional years and created a slider but it's in JavaScript and I'm not sure how to translate it into Python. Here's the code in JavaScript: Plotly.d3.csv('https://raw.githubusercontent.com/plotly/datasets/master/2011_us_ag_exports.csv', function(err, rows){ function unpack(rows, key) { return rows.map(function(row)

I've looked through online documentation, but couldn't find how to change the format of hover-on labels: For example, if I'd like to display the number as "~611 thousand" or something of the sort. Plotly tick and hover formatting are fully customizable using the python / d3 formatting language . From an API, use axis attributes 'tickformat' and 'hoverformat' to set the behavior. For example, this graph has 'layout.yaxis.hoverformat': ',f' . From the web app, input your formatting specs under "Axes" -> "Labels": Plotly allows for axis and hover format only String values, so you cant write your