具有较大值的散点图显示在顶部

Question

有没有一种方法来渲染点，使较大的值始终位于较低的值之上？

类似的想法在R-seurat包中实现。在函数FeaturePlot中，它有一个名为order的参数。此参数的description如下：“确定是否按表达式的顺序绘制单元格的布尔值。如果表示给定特征的单元格被掩埋，则可能非常有用。”

当order = FALSE

Seurat::FeaturePlot(x, "feature", cols = c("grey90", viridis::inferno(10000, begin = 0, end = 1, direction = -1)), reduction = "pca", dims = c(2,3))

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当order = TRUE

Seurat::FeaturePlot(x, "feature", cols = c("grey90", viridis::inferno(10000, begin = 0, end = 1, direction = -1)), reduction = "pca", dims = c(2,3), order = TRUE)

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这两张图是用相同的数据绘制的。但是，你可能会注意到，紫色点变得更多了。这是因为它在黄色的下面。

我想在plotly的散点图中实现这一点。欢迎任何想法。谢谢!

Answer 1

@Dave2e建议:数据的顺序很重要。

x <- tibble(x = rnorm(1000),
        y = rnorm(1000), 
        z = c(rnorm(100, mean = 10, sd = 10), rnorm(900, mean = 0, sd = 1)))

x$z <- sort(x$z) ## order step

plotly::plot_ly(x,
  x = ~x,
  y = ~y,
  text = ~z,
  
  type = "scatter",
  mode = "markers",
  marker = list(
    size = 10,
    color = ~z,
    colorscale = "Portland",
    colorbar = list(
      yanchor = "middle",
      y = 0.5,
      ypad = 20,
      thickness = 15
    )
  )
)

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