我想获得一个自定义色标,看起来像 plotly heatmap (plot_ly(z = data, colors = customcolors, type = "heatmap")
)
I would like to get a custom color scale which looks like for plotly heatmap (plot_ly(z = data, colors = customcolors, type = "heatmap")
)
palette <- colorRampPalette(c("darkblue", "blue", "lightblue1",
"green","yellow", "red", "darkred"))
plot(rep(1,50),col=palette(50), pch=19, cex=3, xlab = "", ylab ="", axes = F)
其中蓝色端代表 1,红色端代表 10^6,并且绘制的数据在此区间内会有不同的值.
and where the blue end represents 1 and red end represents 10^6 and plotted data would have varying values on this interval.
推荐答案
用于生成调色板的代码可以正常工作.您只需提供与 heatmap
匹配的数据.以下代码提供了这一点:
The code you use to generate a color palette works just fine. You only need to provide data that match with a heatmap
. The following code provides this:
library(RColorBrewer)
library(plotly)
# your palette definition
palette <- colorRampPalette(c("darkblue", "blue", "lightblue1",
"green","yellow", "red", "darkred"))
set.seed(9876) # for reproducibility
## a complete random set
hmdata <- matrix(data = sample(x = 1:10^6, size = 100*100), nrow = 100, ncol = 100)
plot_ly(z = hmdata, colors = palette(50), type = "heatmap")
这给出了以下热图:
## a random set that has been sorted
hmdata_s <- matrix(data = sort(sample(x = 1:10^6, size = 100*100)), nrow = 100, ncol = 100)
plot_ly(z = hmdata_s, colors = palette(50), type = "heatmap")
产生这个情节:
请告诉我这是否是你想要的.
Please let me know whether this is what you want.
您可以使用 zauto
、zmax
和 zmin
在 plot_ly
中设置自定义比例.以下 2 段代码和图表将说明这一点:
you can set custom scale in plot_ly
with zauto
, zmax
, and zmin
. The following 2 pieces of code and graphs will illustrate this:
比例设置为 1 到 100,数据变化类似:
The scale is set from 1 to 100 and the data vary similarly:
hmdata_s3 <- matrix(data = sort(sample(x = 1:100, size = 100*100, replace = TRUE)), nrow = 100, ncol = 100)
plot_ly(z = hmdata_s3, colors = palette(50), type = "heatmap", zauto = FALSE, zmin = 1, zmax = 100)
比例设置为 1 到 100,数据仅在 50 到 100 之间变化
The scale is set from 1 to 100 and the data vary between 50 and 100 only
hmdata_s4 <- matrix(data = sort(sample(x = 50:100, size = 100*100, replace = TRUE)), nrow = 100, ncol = 100)
plot_ly(z = hmdata_s4, colors = palette(50), type = "heatmap", zauto = FALSE, zmin = 1, zmax = 100)
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