r - 来自两个不同数据框的 Plotly R 图表

Question

我正在尝试使用data.frameR 中的两个不同来绘制折线图plotly。问题是两者data.frame都有不同的维度。1的样本数据data.frame：

                     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 

2的样本数据data.frame：

       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

1的折线图data.frame：

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

2的折线图data.frame：

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组合成一个？是否可以通过添加来做到这一点add_trace？

ggplot如果会更容易，请随时建议我使用或任何其他库。

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：

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

Answer 2

我想在不合并数据框的情况下做同样的事情。事实证明，您可以dplyr使用图形本身。

# initialize plot
fig <- plot_ly()

# add data from first dataframe Df1
fig <- fig %>%
    add_markers(data=Df_blinks, name="line1", x = ~Timestamp, y = 0.3)

# add data from second dataframe Df2
fig <- fig %>%
    add_markers(data=Df_game, name="line2", x = ~Timestamp, y = ~CurrentRecognitionRate)

# show figure
fig