Layout displays blank or axis overlap using dual axis graphs

I have two dual yaxis plots that I'm trying to combine with plotly's layout function. Both plots work fine independently, but when combined some aspects are blank and the axis of the two graphs are combined on one graph. What do I need to do to get them to display properly, one on top of the other.

#my data
times.winter<- data.frame(radtime = c(0.0,0.26,0.52,0.78,1.05,1.31,1.57,1.83,2.09,2.36,2.62,2.88,3.14,3.4,3.66,3.93,4.19,4.45,4.71,4.97,5.23,5.50,5.76,6.02), 
mean.Ts2 = c(11.2,11.0,10.8,10.7,10.5,10.4,10.3,10.4,10.5,10.7,11.0,11.3,11.6,11.9,12.1,12.1,12.2,12.3,12.3,12.3,12.1,12.0,11.8,11.7,11.5), 
activity = c(1,2,3,4,5,6,7,8,9,10,1,2,3,4,5,6,7,8,9,10,1,2,3,4), 
time = c(0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23))

times.summer<- data.frame(radtime = c(0.0,0.26,0.52,0.78,1.05,1.31,1.57,1.83,2.09,2.36,2.62,2.88,3.14,3.4,3.66,3.93,4.19,4.45,4.71,4.97,5.23,5.50,5.76,6.02), 
mean.Ts2 = c(17.1,16.9,16.7,16.6,16.4,16.3,16.3,16.3,16.4,16.6,16.8,17.1,17.3,17.5,17.7,17.8,17.8,17.8,17.7,17.6,17.5,17.4,17.3,17.1), 
activity = c(1,2,3,4,5,6,7,8,9,10,1,2,3,4,5,6,7,8,9,10,1,2,3,4), 
time = c(0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23))

library(plotly)
Fig1<-plot_ly(times.winter) %>%
  add_bars(x = ~Time, y = ~activity, type = "bar", 
           marker = list(color = c("#999999","#999999","#999999","#999999","#999999","#999999",
                         "#999999","#999999","#999999","#999999","#999999","#999999",
                         "#999999","#999999","#4b0092","#999999","#999999","#999999",
                         "#999999","#999999","#999999","#999999","#999999","#999999"))) %>%
  add_lines(x = ~Time, y = ~mean.Ts2, yaxis = "y2", line = list(color = c("#E69F00"), width = 6)) %>%
  layout(xaxis = list(title = "Time",tick0 =0, dtick = 6),
         yaxis = list(showline = TRUE, side = "left", 
                      title = "Number Active",
                      showgrid = F),  
         yaxis2 = list(showline = TRUE,
                       tickfont = list(color = "#E69F00"),
                       dtick=0.5,
                       overlaying = "y",
                       side = "right",
                       title = "Soil Temperature °C",
                       color = "#E69F00",
                       range = list(10,13),
                       showgrid = F), 
         showlegend = FALSE,  
         margin = list(pad = 0, b = 50, l = 50, r = 50))

Fig2<-plot_ly(times.summer) %>%
  add_bars(x = ~Time, y = ~activity, type = "bar", 
           marker = list(color = c("#999999","#999999","#999999","#999999","#999999","#999999","#999999",
                                   "#999999","#999999","#999999","#999999","#4b0092","#999999",
                                   "#999999","#999999","#999999","#999999","#999999","#999999",
                                   "#999999","#999999","#999999","#999999","#999999"))) %>%
  add_lines(x = ~Time, y = ~mean.Ts2, yaxis = "y2", line = list(color = c("#E69F00"), width = 6)) %>%
  layout(xaxis = list(title = "Time",tick0 =0, dtick = 6),
         yaxis = list(showline = TRUE, side = "left", 
                      title = "Number Active",
                      showgrid = F),  
         yaxis2 = list(showline = TRUE,
                       tickfont = list(color = "#E69F00"),
                       dtick=0.5,
                       overlaying = "y",
                       side = "right",
                       title = "Soil Temperature °C",
                       color = "#E69F00",
                       range = list(16,18),
                       showgrid = F), 
         showlegend = FALSE,  
         margin = list(pad = 0, b = 50, l = 50, r = 50))
library(processx)
Fig1
Fig2
fig <- subplot(Fig1, Fig2, nrows = 2) %>% 
  layout(title = '')
fig

Commencez par les définitions de Fig1 et Fig2, puis examinez l’appel subplot(Fig1, Fig2, nrows = 2) et sa disposition finale. Exécutez l’exemple tel qu’il est fourni et comparez le résultat combiné à chaque figure autonome ; c’est terminé lorsque les deux graphiques sont rendus l’un au-dessus de l’autre et que leurs doubles axes y restent distincts.