plotly / plotly/plotly.R

geom_GeomImage() has yet to be implemented in plotly

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Description


I am attempting to convert a standard ggplot2 scatterplot to a plotly graph using the ggplotly() function, but the lone caveat of the original scatterplot is that it uses headshots of NFL players for its points, rather than standard dots or other shapes. When I attempt this conversion, I am told that geom_GeomImage() has yet to be implemented in plotly. If it is possible for the plotly package to account for the geom_image() function, that would be fantastic.

Feel free to contact me at jacole@alumni.upenn.edu with any further questions about what I'm asking here.

# Scatterplot using ggplot
# Data frame is called DisguisedPassing_2018to2021_Vs_2022
# headshot_url is a column in the data frame that includes a link to each player's headshot
DisguisedRTG_ScatterPlot <- ggplot(data = DisguisedPassing_2018to2021_Vs_2022) +
  geom_image(aes(x = RTG_2018to2021_Disguise, y = RTG_2022_Disguise, image = headshot_url), size = 0.07,
             asp = asp_ratio) +
  scale_y_continuous(breaks = seq(60, 120, 15)) +
  scale_x_continuous(breaks = seq(65, 105, 10)) +
  labs(x = "Passer Rating from 2018-21", y = "Passer Rating in 2022",
       title = "Passer Rating vs. Disguised Coverages in 2022 and 2018-21",
       subtitle = "Among 27 QBs with 75+ Such Attempts in Each Time Span",
       caption = "Data from PFF") +
  theme_bw() + 
  theme(plot.title = element_text(size = 10, hjust = 0.5),
        plot.subtitle = element_text(size = 8, hjust = 0.5))

# Here's converting the above scatterplot to plotly using ggplotly() function
ggplotly(DisguisedRTG_ScatterPlot)

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  4. Open a pull request that references the issue number.

Research direction

Start by reproducing the reported ggplotly(DisguisedRTG_ScatterPlot) conversion with geom_image() and the headshot_url aesthetic. Determine the scope needed for plotly.R to support this geom, then verify that the converted scatterplot renders player images instead of reporting that geom_GeomImage() is unimplemented.

Written by the indexing model from the issue text.

Assessment

Tech stack
r
Domain
data-visualization
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
35/100

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