数据位于问题的底部。
我正在尝试将subplot
与plotly
对象一起使用,其中一个对象具有多个系列。当我使用subplot
时,第一张图中的系列中的一个不会出现在最终产品中。看下面的代码:
library(plotly)
library(dplyr)
sec_y <- list(tickfont = list(color = "red"),
overlaying = "y",
side = "right",
title = "Lft")
pp1 <- fmean1 %>% group_by(grp) %>% plot_ly() %>%
add_lines(x = ~hour, y = ~fmgd, name = "FMGD", colour = "blue") %>%
add_lines(x = ~hour, y = ~lft, name = "Lft", yaxis = "y2", colour = "red") %>%
layout(title = "Fbay", yaxis2 = sec_y,
xaxis = list(title="Date"))
pp2 <- prcpf1 %>% plot_ly() %>%
add_bars(x=~Datetime, y=~precip, name = "prcp")
subplot(pp1, pp2, nrows = 2 , shareX = T)
这是我从subplot
得到的结果,其中仅绘制了FMGD
:
顶部图应如下所示:
问题: :这是subplot
中的错误吗?还是我错过了什么?
数据:
fmean1 <- structure(list(hour = structure(1:11, .Label = c("2018-04-15
18:00:00", "2018-04-15 19:00:00", "2018-04-15 20:00:00", "2018-04-15 21:00:00",
"2018-04-15 22:00:00", "2018-04-15 23:00:00", "2018-04-16 00:00:00",
"2018-04-16 01:00:00", "2018-04-16 02:00:00", "2018-04-16 03:00:00",
"2018-04-16 04:00:00"), class = "factor"), fmgd = c(249.67262,
278.45789, 349.241726666667, 351.883898333333, 369.18035, 406.85811,
406.233883333333, 393.751951666667, 390.004548333333, 403.980246666667,
449.06727), lft = c(84.7313333333333, 85.1555, 85.8243333333333,
87.7796666666667, 88.8493333333333, 88.1606666666667, 87.1883333333333,
86.2645, 85.9258333333333, 86.3718333333333, 86.4433333333333
), grp = c(0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L)),
row.names = 91:101, class = "data.frame")
。
prcpf1 <- structure(list(Datetime = structure(c(1523815200, 1523818800,
1523822400, 1523826000, 1523829600, 1523833200, 1523836800, 1523840400,
1523844000, 1523847600, 1523851200), class = c("POSIXct", "POSIXt"
), tzone = "UTC"), precip = c(0.11, 0.09, 0.06, 0.09, 0.03, 0.04,
0.02, 0.14, 0.07, 0.15, 0.26)), row.names = c(NA, -11L), class = c("tbl_df",
"tbl", "data.frame"))
答案 0 :(得分:0)
在issue on github中看到这bug。{em>
参考上面的链接,我们需要做的是为所有绘图,所有轴明确定义y轴。在下面的示例中查看其实现:
## Creating axis layouts, explicitly for all y axes
L_Axis <- list(tickfont = list(color = "red"), overlaying = "y",
side = "right", title = "Lft")
F_Axis <- list(side = "left", title = "fmgd")
P_Axis <- list(side = "left", title = "prcp")
pp1 <- fmean1 %>% group_by(grp) %>% plot_ly() %>%
add_lines(x = ~hour, y = ~fmgd, name = "FMGD", colour = "blue") %>%
add_lines(x = ~hour, y = ~lft, name = "Lft", yaxis = "y2", colour = "red") %>%
layout( yaxis = F_Axis, #left axis
yaxis2 = L_Axis, #right axis
title = "Fbay", xaxis = list(title="Date"))
pp2 <- prcpf1 %>% plot_ly() %>%
add_bars(x=~Datetime, y=~precip, name = "prcp", yaxis = "y", colour = "green") %>%
layout(yaxis = P_Axis) #only y axis, on the left
pp <- subplot(pp1, pp2 , nrows = 2 , titleY = T, shareX = T)