plotly / plotly/plotly.R

Discrete axis fails to remove "interior" categories in response to filter interactions

Open
#689 9 comments 4 reactions 0 assignees View on GitHub

Nobody has claimed this yet.

bug ggplotly plotly.js
Dominant language
R
Stars
2.7k
Forks
641
PR merge metrics
No merged PRs in 30d

Description

I am using the example from the plotly page to generate a bar plot. I am also using plotly devel version 4.3.4. Here is the code:

library(plotly)

df <- data.frame(x = as.factor(LETTERS[1:5]), 
                 y = sample(10:20, size = 5))

# First change factor levels
df$x <- factor(df$x, levels = c("C", "B", "A", "D", "E"))

# Plot
p <- ggplot(df, aes(x, y, fill = x)) + 
  geom_bar(stat = "identity") +
  ggtitle("Bar Chart with changed factor levels")

ggplotly(p)


> sessionInfo()
R version 3.3.0 (2016-05-03)
Platform: x86_64-apple-darwin13.4.0 (64-bit)
Running under: OS X 10.11.5 (El Capitan)

locale:
[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base     

other attached packages:
[1] plotly_4.3.4         ggplot2_2.1.0        BiocInstaller_1.23.6

On the plot.ly page, when I click on one of the bars in the middle (blue/green) the plot gets autoscaled and the placeholders disappear. But when I generate the plot using the code in R and click on the middle bars, the placeholders are still there.

Here I have clicked A to remove that bar but as you can see the placeholder remains:

screen shot 2016-08-17 at 5 29 01 pm

When I click on the bars at either end, the plot auto-adjusts and placeholders are removed. How can I remove the placeholders when clicking one of the middle bars?

Thanks!

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by running the supplied R example with plotly 4.3.4 and the reordered factor levels, then reproduce the middle-bar filter interaction described in the issue. Compare it with the linked ggplot2 bar-chart example; done means interior categories disappear or the discrete axis rescales consistently after filtering.

Written by the indexing model from the issue text.

Assessment

Tech stack
r
Domain
data-visualization
Issue type
Bug
Difficulty
3/5
Estimated time
1-2 days
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
45/100

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.