plotly / plotly/plotly.R

Putting `plotly` table below a `plotly` scatter plot

Aberta
#1,985 5 comentários 0 reações 0 responsáveis Ver no GitHub

Ninguém assumiu esta issue ainda.

Linguagem predominante
R
Estrelas
2.7k
Forks
641
Métricas de merge de PRs
Nenhum PR com merge em 30d

Descrição

Hi,

I wanted to create a plotly table below a plotly scatter plot.
Something like this example from https://www.exceldashboardtemplates.com/how-to-add-a-line-to-an-excel-chart-data-table-and-not-to-the-excel-graph/ but a scatter plot instead.

image

Below is the code that I have tried.

library(plotly)
#> Loading required package: ggplot2
#> 
#> Attaching package: 'plotly'
#> The following object is masked from 'package:ggplot2':
#> 
#>     last_plot
#> The following object is masked from 'package:stats':
#> 
#>     filter
#> The following object is masked from 'package:graphics':
#> 
#>     layout
library(ggplot2)
library(magrittr)

data <- head(ggplot2::diamonds)

fig1 <- plotly::plot_ly(
  type = 'table',
  columnwidth = c(100, 100),
  columnorder = c(0, 1),
  header = list(
    values = c("Cut","Price"),
    align = c("center", "center"),
    line = list(width = 1, color = 'black'),
    fill = list(color = c("grey", "grey")),
    font = list(family = "Arial", size = 14, color = "white")
  ),
  cells = list(
    values = rbind(data$cut, data$price),
    align = c("center", "center"),
    line = list(color = "black", width = 1),
    font = list(family = "Arial", size = 12, color = c("black"))
  ))

fig2 <- plotly::plot_ly() %>% 
  plotly::add_trace(data = data, 
                    x = data[["cut"]], 
                    y = data[["price"]],
                    type = "scatter",
                    mode = 'markers')

fig <- plotly::subplot(fig2, fig1, nrows = 2)

fig
#> Warning: Can't display both discrete & non-discrete data on same axis
#> Warning: 'layout' objects don't have these attributes: 'NA'
#> Valid attributes include:
#> 'font', 'title', 'uniformtext', 'autosize', 'width', 'height', 'margin', 'computed', 'paper_bgcolor', 'plot_bgcolor', 'separators', 'hidesources', 'showlegend', 'colorway', 'datarevision', 'uirevision', 'editrevision', 'selectionrevision', 'template', 'modebar', 'newshape', 'activeshape', 'meta', 'transition', '_deprecated', 'clickmode', 'dragmode', 'hovermode', 'hoverdistance', 'spikedistance', 'hoverlabel', 'selectdirection', 'grid', 'calendar', 'xaxis', 'yaxis', 'ternary', 'scene', 'geo', 'mapbox', 'polar', 'radialaxis', 'angularaxis', 'direction', 'orientation', 'editType', 'legend', 'annotations', 'shapes', 'images', 'updatemenus', 'sliders', 'colorscale', 'coloraxis', 'metasrc', 'barmode', 'bargap', 'mapType'

Unfortunately, it seems that that table is created on top of the scatter plot instead.

image

I tried to fix the situation by creating empty plots

library(plotly)
#> Loading required package: ggplot2
#> 
#> Attaching package: 'plotly'
#> The following object is masked from 'package:ggplot2':
#> 
#>     last_plot
#> The following object is masked from 'package:stats':
#> 
#>     filter
#> The following object is masked from 'package:graphics':
#> 
#>     layout
library(ggplot2)
library(magrittr)

data <- head(ggplot2::diamonds)

fig1 <- plotly::plot_ly(
  type = 'table',
  columnwidth = c(100, 100),
  columnorder = c(0, 1),
  header = list(
    values = c("Cut","Price"),
    align = c("center", "center"),
    line = list(width = 1, color = 'black'),
    fill = list(color = c("grey", "grey")),
    font = list(family = "Arial", size = 14, color = "white")
  ),
  cells = list(
    values = rbind(data$cut, data$price),
    align = c("center", "center"),
    line = list(color = "black", width = 1),
    font = list(family = "Arial", size = 12, color = c("black"))
  ))

fig2 <- plotly::plot_ly() %>% 
  plotly::add_trace(data = data, 
                    x = data[["cut"]], 
                    y = data[["price"]],
                    type = "scatter",
                    mode = 'markers')

fig3 <- plotly::plotly_empty(type = "scatter", 
                             mode = 'markers')

fig <- plotly::subplot(fig3, fig3, fig2, fig1, nrows = 2)

fig
#> Warning: 'layout' objects don't have these attributes: 'NA'
#> Valid attributes include:
#> 'font', 'title', 'uniformtext', 'autosize', 'width', 'height', 'margin', 'computed', 'paper_bgcolor', 'plot_bgcolor', 'separators', 'hidesources', 'showlegend', 'colorway', 'datarevision', 'uirevision', 'editrevision', 'selectionrevision', 'template', 'modebar', 'newshape', 'activeshape', 'meta', 'transition', '_deprecated', 'clickmode', 'dragmode', 'hovermode', 'hoverdistance', 'spikedistance', 'hoverlabel', 'selectdirection', 'grid', 'calendar', 'xaxis', 'yaxis', 'ternary', 'scene', 'geo', 'mapbox', 'polar', 'radialaxis', 'angularaxis', 'direction', 'orientation', 'editType', 'legend', 'annotations', 'shapes', 'images', 'updatemenus', 'sliders', 'colorscale', 'coloraxis', 'metasrc', 'barmode', 'bargap', 'mapType'

This gives the output as follows:

image

While I can now see the scatter plot, it is below the table instead of being on top.

Is there a way to move the table down ?

Thank you.

Guia de contribuição

Abrir o guia de contribuição

Primeiros passos

  1. Leia a issue inteira e depois o guia de contribuição do projeto.
  2. Comente na issue dizendo que vai assumir — evita que duas pessoas façam o mesmo trabalho.
  3. Faça um fork do repositório e trabalhe em uma branch.
  4. Abra um pull request que referencie o número da issue.

Direção de pesquisa

Reproduza o problema com os exemplos de R fornecidos usando plot_ly(), subplot() e plotly_empty(). Comece rastreando como subplot lida com os traces table e scatter com nrows = 2; o trabalho estará concluído quando o scatter plot aparecer acima da table sem os avisos de axis ou layout relatados.

Escrita pelo modelo de indexação a partir do texto da issue.

Avaliação

Stack de tecnologia
r
Domínio
data-visualization
Tipo de issue
Bug
Dificuldade
3/5
Tempo estimado
1-2 dias
Status de atividade
Estagnada
Clareza
Razoavelmente clara
Facilidade para iniciantes
38/100

Receba novas issues na sua caixa de entrada

Um resumo curto de issues do GitHub para quem está começando.