layout breaks with facet_wrap when employing scales=free
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ggplotly
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Description
I have a problem combining plotly::ggplotly (v4.7.1) with facet_wrap (v3.0.0) that I can't seem to generalise but is reproducible with a particular dataset (summary metrics for a set of tweets):
require(tidyverse)
require(plotly)
d = read_csv('https://gist.githubusercontent.com/geotheory/21c4eacbf38ed397f7cf984f8d92e931/raw/9148df79326f53a66a8cc363241a440752487357/data.csv')
d = d %>% mutate(key = fct_reorder(key, n)) # order the bars
p = ggplot(d, aes(key, n)) + geom_bar(stat='identity') +
facet_wrap(~ set, scales='free', nrow=1) +
labs(x=NULL, y=NULL) + coord_flip()
print(p)
Enter ggplotly:
print(ggplotly(p))
This seems to relate to the combination of nrow=1 and scales='free' arguments. Any ideas about the cause?
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Research direction
Start by running the supplied R example with the linked dataset and the reported ggplot2 and plotly versions, comparing the ggplot and ggplotly renders. Trace how ggplotly handles facet_wrap with scales='free', coord_flip(), and nrow=1. Done means the converted plot preserves the expected facet layout without breaking the free scales.
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
- 42/100