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

Inizia con le definizioni di Fig1 e Fig2, quindi esamina la chiamata subplot(Fig1, Fig2, nrows = 2) e il suo layout finale. Esegui l’esempio così come fornito e confronta il risultato combinato con ciascuna figura autonoma; è completato quando entrambi i grafici vengono renderizzati uno sopra l’altro e i rispettivi doppi assi y rimangono distinti.