绘制具有相同颜色的子图线

Question

我有一些跨多个类别的时间序列数据，其中每个类别都有一组产品的子集，我想将它们绘制在一个可绘制的子图中，以便每个产品线具有相同的颜色。 我该怎么做呢？

我尝试在颜色参数中指定一个不起作用的调色板，我还尝试使用expand_grid用缺少的产品“填充”每个类别，但这也不起作用。 最后我尝试了两种方法的组合，但仍然无效。

以下是该问题的玩具数据集。 正如您在图例组中看到的那样，每个类别的线条颜色不同。

data <- expand_grid(Category = c(LETTERS[1:3]), Product = letters[1:5], date = seq.Date(as.Date("2020-01-01"), as.Date("2020-12-31"), by = 7)) %>% 
  mutate(y_value = rnorm(nrow(.), 50, 25)) %>% 
  filter(!paste0(Category, Product) %in% c("Ab","Bd","Ce","Ca"))

data %>% 
  group_by(Category) %>% 
  do(
    plot = plot_ly(data = ., x=~date, y = ~ y_value, color = ~Product, legendgroup = ~ Product) %>% 
      add_lines(hoverinfo = "text", text = ~ paste0("Category: ", Category, "<br>", "Product: ", Product)) %>% 
      add_annotations(text = ~Category, x = 0.5,y = ~ max(y_value), xref = "paper",showarrow = FALSE)
  ) %>% 
  subplot(nrows = 3, shareX = TRUE, shareY = FALSE)

Answer 1

您可以使用颜色向量的命名向量为您的产品分配颜色并将其传递给plot_ly的colors参数， plot_ly所示：

library(plotly)
library(tidyr)

data <- expand_grid(Category = c(LETTERS[1:3]), Product = letters[1:5], date = seq.Date(as.Date("2020-01-01"), as.Date("2020-12-31"), by = 7)) %>% 
  mutate(y_value = rnorm(nrow(.), 50, 25)) %>% 
  filter(!paste0(Category, Product) %in% c("Ab","Bd","Ce","Ca"))

colors <- c("a" = "blue", "b" = "red", c = "green", d = "orange", e = "purple")
data %>% 
  group_by(Category) %>% 
  do(
    plot = plot_ly(data = ., x=~date, y = ~ y_value, color = ~Product, colors = colors, legendgroup = ~ Product) %>% 
      add_lines(hoverinfo = "text", text = ~ paste0("Category: ", Category, "<br>", "Product: ", Product)) %>% 
      add_annotations(text = ~Category, x = 0.5,y = ~ max(y_value), xref = "paper",showarrow = FALSE)
  ) %>% 
  subplot(nrows = 3, shareX = TRUE, shareY = FALSE)