r - 从两个不同的数据帧绘制 R 图

Question

我正在尝试使用两个不同的 data.frame 绘制折线图在 R 中使用 plotly .问题都是data.frame有不同的维度。data.frame 的样本数据1:

                     DATE   SOC resdiff
 2016  2017-08-11 02:40:00 95.45    0.54
 4033  2017-08-18 02:45:00 94.88    0.56
 6048  2017-08-25 02:45:00 94.28    0.60
 8064  2017-09-01 02:45:00 93.68    0.60
 10080 2017-09-08 02:45:00 92.96    0.72
 12096 2017-09-15 02:45:00 92.13    0.83 

data.frame 的样本数据2:

       data.event_type data.user          data.stamp
 1          config    *INST* 2018-06-27 14:37:29
 2          config    *INST* 2018-02-14 19:30:57
 3          config    *SYNC* 2017-12-18 07:00:53
 4          config    *SYNC* 2017-12-18 06:59:14
 5          config    *INST* 2017-10-03 00:55:25
 6          config    *INST* 2017-09-28 00:49:29

data.frame的折线图1:

library(plotly)
p <- plot_ly(new_res, x = ~DATE) %>%
  add_trace(y = ~resdiff*100, name = 'SOC Diff',type = 'scatter',mode = 
 'lines') %>%
 add_trace(y = ~SOC, name = 'SOC',type = 'scatter', mode = 'lines+markers') 
p

data.frame的折线图2:

p <- plot_ly(get_df[1:9,], x = ~data.stamp) %>%
 add_trace(y = ~data.user, name = 'Event',type = 'scatter',mode = 'markers')
p

现在的问题是如何将这两个折线图合并为一个？是否可以通过添加 add_trace 来实现？ ?

请随时建议我使用 ggplot或任何其他图书馆，如果它会更容易。

Answer 1

最后，我从这里得到了解决方案:https://plot.ly/r/graphing-multiple-chart-types/

我合并了两个 data.frame
final_df=merge(new_res,get_df[1:9,c(4,5,8)],all.x = TRUE,all.y = TRUE,by="DATE")
并使用 plotly 绘图:

library(plotly)

p <- plot_ly(final_df) %>%
 add_trace(x = ~DATE, y = ~SOC,name = 'SOC',type = 'scatter',mode = 'lines') %>%
 add_trace(x = ~DATE, y = ~resdiff*100, name = 'SOC Diff',type = 'scatter',mode = 'lines+markers') %>%
 add_trace(x = ~DATE, y = ~data.user, yaxis = 'y2',name = 'Event',type = 'scatter',mode = 'markers') %>% 
 layout(title = 'SOC Data',
     xaxis = list(title = ""),
     yaxis = list(side = 'left', title = 'SOC and SOC Diff', showgrid = FALSE, zeroline = FALSE),
     yaxis2 = list(side = 'right', overlaying = "y", title = 'Event Type', showgrid = FALSE, zeroline = FALSE))

p