R:具有两个轴的条形图

时间:2018-08-08 06:57:33

标签: r plotly

是否有两个轴可用于R的条形图?

该代码已从plotly bar chart example修改

library(plotly)

x <- c('January', 'February', 'March', 'April', 'May', 'June', 'July', 'August', 'September', 'October', 'November', 'December')
y1 <- c(20, 14, 25, 16, 18, 22, 19, 15, 12, 16, 14, 17)/10
y2 <- c(19, 14, 22, 14, 16, 19, 15, 14, 10, 12, 12, 16)
data <- data.frame(x, y1, y2)

#The default order will be alphabetized unless specified as below:
data$x <- factor(data$x, levels = data[["x"]])

p <- plot_ly(data, x = ~x, y = ~y1, type = 'bar', name = 'Primary Product', marker = list(color = 'rgb(49,130,189)')) %>%
  add_trace(y = ~y2, name = 'Secondary Product', marker = list(color = 'rgb(204,204,204)')) %>%
  layout(xaxis = list(title = "", tickangle = -45),
         yaxis = list(title = ""),
         margin = list(b = 100),
         barmode = 'group')
p

这给出了:

bar plot 1

主要产品的值比次要产品小得多-我的目的是按月比较比例,同时让y轴显示实际值而不是归一化值,因此看起来像这样(模拟):< / p>

enter image description here

我尝试plotly help添加另一个轴,这是代码。但是,它似乎什么也没做,结果图表与第一个图表相同。

library(plotly)

x <- c('January', 'February', 'March', 'April', 'May', 'June', 'July', 'August', 'September', 'October', 'November', 'December')
y_1 <- c(20, 14, 25, 16, 18, 22, 19, 15, 12, 16, 14, 17)/10
y_2 <- c(19, 14, 22, 14, 16, 19, 15, 14, 10, 12, 12, 16)
data <- data.frame(x, y_1, y_2)

#The default order will be alphabetized unless specified as below:
data$x <- factor(data$x, levels = data[["x"]])

ay <- list(
  tickfont = list(color = "red"),
  overlaying = "y",
  side = "right",
  title = "second y axis"
)
p <- plot_ly(data, x = ~x, y = ~y_1, type = 'bar', name = 'Primary Product', marker = list(color = 'rgb(49,130,189)')) %>%
  add_trace(y = ~y_2, name = 'Secondary Product', marker = list(color = 'rgb(204,204,204)'), axis = "y2") %>%
  layout(yaxis2 = ay,
         xaxis = list(title = "", tickangle = -45),
         yaxis = list(title = ""),
         margin = list(b = 100),
         barmode = 'group')
p

更新2018年8月9日

MLavoie发布了此代码,与尝试类似,但是它提供了堆积的条形图-这不是预期的结果。

data$x <- factor(data$x, levels = data[["x"]])

ay <- list(
  tickfont = list(color = "red"),
  overlaying = "y",
  side = "right",
  title = "second y axis"
)

p <- plot_ly() %>% 
add_bars(data, x = ~x, y = ~y1, name = 'Primary Product', marker = list(color = 'rgb(49,130,189)')) %>%
add_bars(data, x = ~x, y = ~y2, name = 'Secondary Product', marker = list(color = 'rgb(204,204,204)'), yaxis = "y2") %>%
layout(yaxis2 = ay,
       xaxis = list(title = "", tickangle = -45),
       yaxis = list(title = ""),
       margin = list(b = 100),
       barmode = 'group')
p  

enter image description here

4 个答案:

答案 0 :(得分:3)

我和this answer一起玩,发现以下派生词能给出最佳结果。

这是结果图:

https://i.stack.imgur.com/CLRNe.png

library(plotly)
library(dplyr)

x <- c('January', 'February', 'March', 'April', 'May', 'June', 'July', 'August', 'September', 'October', 'November', 'December')
y1 <- c(20, 14, 25, 16, 18, 22, 19, 15, 12, 16, 14, 17)/10
y2 <- c(19, 14, 22, 14, 16, 19, 15, 14, 10, 12, 12, 16)
data <- data.frame(x, y1, y2)

data$x <- factor(data$x, levels = data[["x"]])

ay <- list(
  overlaying = "y",
  side = "right",
  title = "Right Hand Axis"
)

p <- plot_ly() %>% 
  add_bars(data, x = ~x, y = ~y1, name = 'Primary Product (LHS)', 
           marker = list(color = 'rgb(49,130,189)'), offsetgroup = 1) %>%
  add_bars(data, x = ~x, y = ~y2, name = 'Secondary Product (RHS)', 
           marker = list(color = 'rgb(204,204,204)'), yaxis = "y2", offsetgroup = 2) %>%
  layout(yaxis2 = ay,
         xaxis = list(title = "Time Period", tickangle = -45),
         yaxis = list(title = "Left Hand Axis"),
         margin = list(b = 100),
         barmode = 'group',
         legend = list(x = 1.1, y = 1))

p  

答案 1 :(得分:0)

我认为您有一些错别字,但这可以解决问题。

data$x <- factor(data$x, levels = data[["x"]])

ay <- list(
  tickfont = list(color = "red"),
  overlaying = "y",
  side = "right",
  title = "second y axis"
)

p <- plot_ly() %>% 
add_bars(data, x = ~x, y = ~y1, name = 'Primary Product', marker = list(color = 'rgb(49,130,189)')) %>%
add_bars(data, x = ~x, y = ~y2, name = 'Secondary Product', marker = list(color = 'rgb(204,204,204)'), yaxis = "y2") %>%
layout(yaxis2 = ay,
       xaxis = list(title = "", tickangle = -45),
       yaxis = list(title = ""),
       margin = list(b = 100),
       barmode = 'group')
p

答案 2 :(得分:0)

一个解决方案是创建两个额外的跟踪。这是Python中的示例:

enter image description here

此代码基于以下单独问题的代码:Plotly Python: Align X-Axes in a grouped bar chart with multiple Y-axis

答案 3 :(得分:0)

根据讨论here,这应该可行。

x <- c('January', 'February', 'March', 'April', 'May', 'June', 'July', 'August', 'September', 'October', 'November', 'December')
y1 <- c(20, 14, 25, 16, 18, 22, 19, 15, 12, 16, 14, 17)/10
y2 <- c(19, 14, 22, 14, 16, 19, 15, 14, 10, 12, 12, 16)
data <- data.frame(x, y1, y2)

data$x <- factor(data$x, levels = data[["x"]])

ay <- list(
  tickfont = list(color = "red"),
  overlaying = "y",
  side = "right",
  title = "second y axis"
)

p <- plot_ly() %>% 
  add_bars(data, x = ~x, y = ~y1, name = 'Primary Product', 
           marker = list(color = 'rgb(49,130,189)'), offsetgroup = 1) %>%
  add_bars(data, x = ~x, y = ~y2, name = 'Secondary Product', 
           marker = list(color = 'rgb(204,204,204)'), yaxis = "y2", offsetgroup = 2) %>%
  layout(yaxis2 = ay,
         xaxis = list(title = "", tickangle = -45),
         yaxis = list(title = ""),
         margin = list(b = 100),
         barmode = 'group')
p  

通过offsetgroup属性,您可以更好地控制交叉迹线偏移量和宽度值的计算方式。

Resulting plot