[英]Different scale for the line graph and stacked bar in R how to distinguish
library(ggplot2)
library(reshape2)
data <- data.frame(partition = c("1", "2", "3", "4","5"),
edge = c(2914.2025,4274.438333,7072.29,7984.68,10232.96333),
cloud = c(11445.02,10384.94,9165.71,7884.15,7113.79),
communication = c(803345.0248,805614.764,810357.3823,460484.3287,483277.6666))
data2 <- data.frame(partition = c("1", "2", "3", "4","5"),
output_data = c(199.1,199.1,199.1,99.5,99.5))
elections_long <- melt(data, id = "partition")
ggplot(elections_long, aes(x = partition, y = value)) +
geom_bar(stat="identity", aes(fill = variable)) +
geom_line(data=df2, aes(x=partition, y=value), colour="blue")
tidyr::pivot_longer(data, cols = -partition) %>%
ggplot() + aes(x = partition, y = value) +
geom_col(aes(fill = name)) +
geom_line(data=data2, aes(x=partition, y=output_data, group = 1), colour="blue")
我在一個圖中繪制了一個堆疊的條形圖和折線圖,如下所示: 折線圖的值以 MB 為單位,而堆棧欄的值以毫秒為單位。 折線圖是藍色的,由於值的比例,它沒有被區分。 對此的任何幫助都將受到高度贊賞。 謝謝
好吧,即使沒有插入幾何圖形,您的 plot 也會遭受從低點 2914.202 到高點 810357.382 的巨大范圍的影響。 最簡單的一條線解決方案是將您的 y 軸刻度更改為 log10 之類的東西(有關更多信息,請參見此處)
會是這個樣子...
library(ggplot2)
library(tidyr)
data <- data.frame(partition = c("1", "2", "3", "4","5"),
edge = c(2914.2025,4274.438333,7072.29,7984.68,10232.96333),
cloud = c(11445.02,10384.94,9165.71,7884.15,7113.79),
communication = c(803345.0248,805614.764,810357.3823,460484.3287,483277.6666))
data2 <- data.frame(partition = c("1", "2", "3", "4","5"),
output_data = c(199.1,199.1,199.1,99.5,99.5))
tidyr::pivot_longer(data, cols = -partition) %>%
ggplot() + aes(x = partition, y = value) +
geom_col(aes(fill = name)) +
geom_line(data=data2, aes(x=partition, y=output_data, group = 1), colour="blue") +
scale_y_log10()
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