Layout displays blank or axis overlap using dual axis graphs
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描述
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
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- 在 Issue 下留言说明你要接手 —— 这能避免两个人做同样的事。
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- 提交 Pull Request,并在描述里引用这个 Issue 编号。
调研方向
先从 Fig1 和 Fig2 的定义开始,然后检查 subplot(Fig1, Fig2, nrows = 2) 调用及其最终布局。按提供的方式运行示例,并将组合结果与每个独立图形进行比较;当两个绘图上下排列渲染且各自的双 y 轴保持区分时,即表示完成。
由索引模型根据 Issue 内容生成。
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