Please implement geom_GeomXsidebar() and related geoms
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Description
I tried to use plotly on ggplot graph that used geom_xsidehistogram and geom_ysidehistorgram, but when I did I got a warning that plotly was not yet implemented for geom_GeomXsidebar and geom_GeomYsidebar and suggestion to report it here. It would be lovely if plotly were implemented for these geoms.
My data structure was
master - a data frame containing:
- region (character)
- envir_var_elevation (numeric)
- loggdppc (numeric)
- value (numeric)
- reactive_value (numeric)
df_plot - a data frame containing:
- envir.group (numeric factor)
- loggdppc.group (numeric factor)
- value.squish (numeric)
- reactive_value.mean (numeric)
df_plot was created by taking the data from master binning elevation and loggdppc and then finding the mean in each bin combination.
Here is my plot code
p_elev_income = ggplot(df_plot, aes(x = envir.group, y = loggdppc.group, fill = value.squish,
text = glue("reactive adapt: {reactive_value.mean}"))) +
geom_tile() +
geom_xsidehistogram(data = master, aes(x = envir_var_elevation, y = after_stat(density)), binwidth = .01, inherit.aes = F) +
geom_ysidehistogram(data = master, aes(x = after_stat(density), y = loggdppc), binwidth = 0.08, inherit.aes = F) +
ggside(x.pos = "bottom", y.pos = "left") +
xlab(xlab_name) +
ylab("Log GDP per Capita") +
scale_fill_gradientn(colours = blue_red.colors,
name = scale_name,
limits = limits_val,
breaks = breaks_labels_val,
labels = breaks_labels_val,
values = rescale(rescale_val),
na.value = NA
) +
theme(panel.background = element_rect(fill = 'white', colour = 'grey'),
ggside.panel.scale.x = 0.2,
ggside.panel.scale.y = 0.2)
ggplotly(p_elev_income)
Here's what the plot looks like when plotted normally:
And here's what it looks like when plotted with plotly:
I was using plotly because I wanted the hover text/tool tip ability, and that functionality did work correctly for me. Unfortunately, the side histograms disappeared. Also for my use case, I only need the hover text/tool tip on the main geom_tile portion of the graphic having it also appear on the side histograms would just be a bonus.
Guide de contribution
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Par où commencer
- Lisez l'issue en entier, puis le guide de contribution du projet.
- Signalez en commentaire que vous la prenez — cela évite que deux personnes fassent le même travail.
- Forkez le dépôt et travaillez sur une branche.
- Ouvrez une pull request qui référence le numéro de l'issue.
Piste de recherche
Commencez par retracer la façon dont ggplotly gère geom_GeomXsidebar et geom_GeomYsidebar, y compris les points d’entrée geom_xsidehistogram et geom_ysidehistogram. Comparez la sortie ggplot normale avec le graphique converti et vérifiez que les histogrammes latéraux sont rendus dans ggplotly tout en préservant le texte d’infobulle existant du geom_tile principal.
Rédigé par le modèle d'indexation à partir du texte de l'issue.
Évaluation
- Stack technique
- plotly, r
- Domaine
- data-visualization
- Type d'issue
- Fonctionnalité
- Difficulté
- 4/5
- Temps estimé
- 3-5 jours
- Activité
- À l'abandon
- Clarté
- Plutôt claire
- Accessibilité débutants
- 35/100