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我正在尝试为闪亮的应用程序创建一个绘图图。我遇到了某些多面图布局的问题。每当有四个分面并且它们位于 2x2 网格中时，即使数据在ggplot图中，左下方的分面也不显示任何数据。当 3x2 网格中有 6 个面时也会发生这种情况，左下角再次被丢弃。plotly ggplot 示例页面上的示例显示了几个具有 2x2 网格和正在显示的数据的示例。我不确定问题是什么。任何帮助深表感谢。

代码：

library(ggplot2)
library(dplyr)
library(plotly)

data %>%
  filter(!is.na(result)) %>%
  ggplot(aes(date_time, result)) +
  facet_wrap(~group, scales = "free_y") +
  geom_point() +
  geom_line()


ggplotly()

ggplot输出： <code>ggplot</code> 输出

ggplotly输出： <code>ggplotly</code> 输出

数据：

data <- structure(list(group = c("w", "w", "w", "w", "w", "w", "w", 
                                 "w", "w", "w", "w", "w", "w", "w", "w", "w", "w", "w", "w", "w", 
                                 "w", "w", "w", "w", "w", "w", "w", "w", "w", "w", "w", "w", "w", 
                                 "y", "y", "y", "y", "y", "y", "y", "y", "y", "y", "y", "y", "y", 
                                 "y", "y", "y", "y", "y", "y", "y", "y", "y", "y", "y", "y", "y", 
                                 "y", "y", "y", "y", "y", "y", "y", "x", "x", "x", "x", "x", "x", 
                                 "x", "x", "x", "x", "x", "x", "x", "x", "x", "x", "x", "x", "x", 
                                 "x", "x", "x", "x", "x", "x", "x", "x", "x", "x", "x", "x", "x", 
                                 "x", "z", "z", "z", "z", "z", "z", "z", "z", "z", "z", "z", "z", 
                                 "z", "z", "z", "z", "z", "z", "z", "z", "z", "z", "z", "z", "z", 
                                 "z", "z", "z", "z", "z", "z", "z", "z"), 
                   date_time = structure(c(1501581060, 1501668000, 1501752000, 
                                           1501837740, 1502101200, 1502184600, 1502271840, 
                                           1502357280, 1502442720, 1502701860, 1502789280, 
                                           1502876340, 1502961600, 1503047640, 1503305520, 
                                           1503394200, 1503480900, 1503567600, 1503651300, 
                                           1503915120, 1503997800, 1504086300, 1504171920, 
                                           1504259100, 1504607100, 1504691040, 1504777500,
                                           1504865820, 1505122680, 1505211600, 1505296560, 
                                           1505382720, 1505470140, 1501581060, 1501668000, 
                                           1501752000, 1501837740, 1502101200, 1502184600, 
                                           1502271840, 1502357280, 1502442720, 1502701860, 
                                           1502789280, 1502876340, 1502961600, 1503047640, 
                                           1503305520, 1503394200, 1503480900, 1503567600, 
                                           1503651300, 1503915120, 1503997800, 1504086300, 
                                           1504171920, 1504259100, 1504607100, 1504691040, 
                                           1504777500, 1504865820, 1505122680, 1505211600, 
                                           1505296560, 1505382720, 1505470140, 1501581060, 
                                           1501668000, 1501752000, 1501837740, 1502101200, 
                                           1502184600, 1502271840, 1502357280, 1502442720, 
                                           1502701860, 1502789280, 1502876340, 1502961600, 
                                           1503047640, 1503305520, 1503394200, 1503480900, 
                                           1503567600, 1503651300, 1503915120, 1503997800, 
                                           1504086300, 1504171920, 1504259100, 1504607100, 
                                           1504691040, 1504777500, 1504865820, 1505122680, 
                                           1505211600, 1505296560, 1505382720, 1505470140, 
                                           1501581060, 1501668000, 1501752000, 1501837740, 
                                           1502101200, 1502184600, 1502271840, 1502357280, 
                                           1502442720, 1502701860, 1502789280, 1502876340, 
                                           1502961600, 1503047640, 1503305520, 1503394200, 
                                           1503480900, 1503567600, 1503651300, 1503915120, 
                                           1503997800, 1504086300, 1504171920, 1504259100, 
                                           1504607100, 1504691040, 1504777500, 1504865820, 
                                           1505122680, 1505211600, 1505296560, 1505382720, 
                                           1505470140), 
                                         class = c("POSIXct", "POSIXt"), tzone = "UTC"), 
                   result = c(2.1, 1.75, 1.65, 1.65,  1.75, 1.65, 1.3, 1.65, 1.9, 1.6, 1.65, 
                              1.35, 1.6, 1.85, 2.05,  1.95, 2, 1.95, 1.9, 1.9, 2.05, 2, 2, 
                              2, 2.1, 2.1, 2, 2.05, 2.05, 2.3, 2.2, 2, NA, 7.14, 7.1, 7.09, 
                              7.09, 7.13, 7.12, 7.13, 7.07, 7.04, 7.06, 7.12, 7.08, 7.06, 
                              7.07, 7.05, 7.05, 7.1, 7.09, 7.06, 7.18, 7.16, 7.11, 7.17, 
                              7.14, 7.13, 7.08, 7.11, 7.09, 7.12, 7.05,  7.08, 7.02, 7.12, 
                              0.214, 0.181, 0.357, 0.49, 0.294, 0.369, 0.406, 0.325, 0.197, 
                              0.36, 0.358, 0.408, 0.37, 0.254, 0.24, 0.178, 0.201, 0.166, 0.203, 
                              0.163, 0.147, 0.177, 0.155, 0.177, 0.133, 0.133, 0.182, 0.203, 
                              0.161, 0.151, 0.171, 0.117, NA, 26, 26, 26, 26, 25, 26, 25, 26, 
                              26, 26, 26, 25, 26, 26, 25, 26, 26, 26, 26, 26, 26, 26, 26, 25, 
                              25, 24, 24, 24, 23, 23, 23, 24, 23)), 
              .Names = c("group", "date_time", "result"), 
              class = c("tbl_df", "tbl", "data.frame"), 
              row.names = c(NA, -132L))
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1 回答 1

5

可能这是ggplotly.
一种解决方案是在scales="free"内部使用facet_wrap，然后手动定义 4 个图的公共 x 轴。

p <- data %>%
  filter(!is.na(result)) %>%
  ggplot(aes(date_time, result)) +
  facet_wrap(~group, scales = "free") +
  geom_point() +
  geom_line()

g <- plotly_build(p)
# Set "x3" axis as common x-axis of Plot 1 and 3 
g$x$data[[1]]$xaxis <- "x3"
# Set "x4" axis as common x-axis of Plot 2 and 4
g$x$data[[2]]$xaxis <- "x4"
print(g)

在此处输入图像描述 其他解决方案在这里和这里。

于 2017-09-18T15:02:52.307 回答