plotly / plotly/plotly.R

Dynamic Axis Labels (Ticks) Misalignment with Data Points and Rangeslider

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Lingua principale
R
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Descrizione

Description:

In my Plotly chart with a rangeslider, I'm facing a dilemma with axis labels (ticks). Without using tickvals, the chart incorrectly displays Sunday as the start of the week. When using tickvals to correct this, the axis labels don't dynamically adjust when zooming out, leading to overcrowding.

Expected Behavior:

  • The x-axis should consistently display Monday as the start of each week.
  • When zooming out, the axis should dynamically adjust to a coarser interval (e.g., every month, every quarter, or every year) to maintain readability.
  • The rangeslider should allow smooth navigation while preserving appropriate tick density at different zoom levels.

Actual Behavior:

  1. Without tickvals:
  • The chart incorrectly uses Sunday as the start of the week.

  • Zooming functions work as expected, with appropriate tick density at different zoom levels.

Image

  1. With tickvals:
  • The chart correctly displays Monday as the start of the week.

  • When zooming out, the axis doesn't adjust to a more appropriate interval, resulting in overcrowded and illegible labels.

Image

Reproducible Example:

library(shiny)
library(plotly)
library(lubridate)
library(dplyr)

# Example data
data <- data.frame(
  date = seq(as.Date("2024-01-01"), Sys.Date(), by = "day"),  
  value = runif(length(seq(as.Date("2024-01-01"), Sys.Date(), by = "day")), 10, 100)  
)

# Aggregate data by week
data_weekly <- data %>%
  mutate(week = floor_date(date, unit = "week", week_start = 1)) %>%
  group_by(week) %>% 
  summarise(value = sum(value)) 

# Create a plot with the week start as the x-axis
fig <- plot_ly(data = data_weekly,
               x = ~week,  
               y = ~value,  
               type = 'bar') %>%
  layout(xaxis = list(
    range = c(floor_date(max(data$date) - months(3) + days(4),
                         unit = "week", week_start = 1),  # Set the x-axis range starting 3 months before the latest date
              max(data$date + days(4))),  # Extend the range to the maximum date (with 4 extra days for buffer)
    tickvals = data_weekly$week  # Use the start of each week as the ticks on the x-axis
  )
  )


fig %>%
  config(displayModeBar = FALSE) %>%
  layout(xaxis = list(rangeslider = list(visible = TRUE)))  # Add a range slider for the x-axis

Additional Notes:

  • The issue arises from the need to use tickvals to enforce Monday as the week start, which then prevents Plotly's automatic tick adjustment.
  • An ideal solution would combine correct week start representation (Monday) with dynamic tick adjustment when zooming.

System info

R version: 4.3.3 (2024-02-29)
Plotly version: 4.10.4
Operating System: Linux 5.15.173.1-1.cm2

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Direzione di ricerca

Inizia con l’esempio R riproducibile usando plotly, lubridate, dplyr, tickvals e il x-axis rangeslider. Analizza come i valori dei tick settimanali fissi interagiscono con la regolazione dei tick guidata dallo zoom; il lavoro è completato quando le etichette settimanali basate sul lunedì rimangono corrette mentre lo zoom modifica l’intervallo per evitare il sovraffollamento.

Scritto dal modello di indicizzazione a partire dal testo della issue.

Valutazione

Stack tecnologico
r
Ambito
data-visualization
Tipo di issue
Bug
Difficoltà
4/5
Tempo stimato
3-5 giorni
Stato di attività
Ferma
Chiarezza
Abbastanza chiara
Idoneità per principianti
35/100

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