geom_GeomDrawGrob() has yet to be implemented in plotly.

PROBLEM DESCRIPTION

I want to use plotly::ggplotly() over a series of ggplot graphs that are grouped together using cowplot::plot_grid(). Essentially, this would create a sleek dashboard-like image within an R Markdown or Shiny application.

The intended ggplot class graph to be interacted with plotly::ggplotly() is the following:

However, I ran into the following error message when trying this:

geom_GeomDrawGrob() has yet to be implemented in plotly.
  If you'd like to see this geom implemented,
  Please open an issue with your example code at
  https://github.com/ropensci/plotly/issuesgeom_GeomDrawGrob() has yet to be implemented in plotly.
  If you'd like to see this geom implemented,
  Please open an issue with your example code at
  https://github.com/ropensci/plotly/issues

Below is all the code necessary to construct the relevant dataframes and graphs to reproduce the above error message. The code is separated into three chunks. I also added two screenshots at the end of the outputs of the final two chunks of my notebook.

library(tidyverse)
library(cowplot)
library(plotly)

my_data1 <- structure(list(day = structure(c(18593, 18654, 18683, 18554, 
                                             18600, 18601, 18665, 18635, 18680, 18595, 18709, 18662, 18568, 
                                             18562, 18431, 18467, 18475, 18679, 18649, 18498, 18448, 18686, 
                                             18682, 18606, 18577, 18526, 18468, 18552, 18459, 18611, 18454, 
                                             18622, 18558, 18407, 18583, 18640, 18485, 18555, 18598, 18458, 
                                             18619, 18693, 18668, 18528, 18584, 18466, 18656, 18663, 18446, 
                                             18372, 18385, 18383, 18358, 18542, 18695, 18655, 18630, 18664, 
                                             18626, 18702, 18535, 18676, 18705, 18553, 18591, 18628, 18556, 
                                             18691, 18673, 18487, 18416, 18441, 18394, 18409, 18381, 18404, 
                                             18418, 18490, 18707, 18443, 18401, 18408, 18386, 18367, 18323, 
                                             18382, 18370, 18678, 18511, 18540, 18436, 18629, 18541, 18500, 
                                             18482, 18457, 18464, 18534, 18657, 18516, 18424, 18435, 18529, 
                                             18651, 18445, 18537, 18681, 18444, 18465, 18543, 18559, 18429, 
                                             18415, 18419, 18527, 18473, 18393, 18403, 18398, 18636, 18594, 
                                             18612, 18641, 18509, 18592, 18480, 18551, 18646, 18571, 18548, 
                                             18506, 18666, 18507, 18696, 18642, 18484, 18567, 18703, 18477, 
                                             18544, 18687, 18697, 18550, 18699, 18667, 18532, 18684, 18472, 
                                             18545, 18643, 18557, 18560, 18447, 18604, 18617, 18570, 18414, 
                                             18399, 18375, 18613, 18449, 18688, 18579, 18608, 18590, 18461, 
                                             18633, 18675, 18631, 18706, 18609, 18605, 18652, 18489, 18450, 
                                             18522, 18581, 18501, 18514, 18438, 18589, 18463, 18588, 18580, 
                                             18531, 18538, 18494, 18471, 18632, 18510, 18432, 18420, 18417, 
                                             18413, 18392, 18410, 18698, 18700, 18701, 18513, 18566, 18669, 
                                             18433, 18491, 18395, 18547, 18377, 18597, 18658, 18660, 18602, 
                                             18671, 18610, 18440, 18572, 18614, 18456, 18546, 18478, 18710, 
                                             18483, 18578, 18689, 18670, 18638, 18634, 18524, 18650, 18616, 
                                             18692, 18462, 18499, 18496, 18625, 18428, 18422, 18389, 18412, 
                                             18387, 18434, 18549, 18481, 18442, 18486, 18488, 18425, 18615, 
                                             18396, 18368, 18405, 18379, 18690, 18492, 18523, 18644, 18452, 
                                             18645, 18708, 18661, 18517, 18508, 18575, 18504, 18476, 18497, 
                                             18502, 18582, 18426, 18519, 18453, 18596, 18520, 18586, 18530, 
                                             18624, 18659, 18505, 18574, 18576, 18694, 18460, 18515, 18423, 
                                             18503, 18427, 18653, 18639, 18533, 18469, 18587, 18539, 18455, 
                                             18437, 18430, 18711, 18400, 18380, 18369, 18391, 18366, 18402, 
                                             18384, 18365, 18363, 18360, 18359, 18374, 18569, 18627, 18623, 
                                             18674, 18599, 18521, 18470, 18672, 18573, 18607, 18421, 18563, 
                                             18620, 18677, 18518, 18618, 18704, 18536, 18451, 18637, 18647, 
                                             18648, 18525, 18474, 18685, 18493, 18585, 18603, 18479, 18561, 
                                             18565, 18564, 18439, 18621, 18512, 18390, 18495, 18397, 18411, 
                                             18373, 18388, 18406, 18376), class = "Date")
                           , total_values2 = c(2564, 
                                               1676, 1586, 1034, 2646, 2554, 1503, 1755, 1552, 2462, 713, 1794, 
                                               1158, 982, 277, 705, 594, 1403, 1805, 524, 409, 1420, 1487, 2434, 
                                               1319, 855, 661, 898, 707, 2044, 598, 1311, 1028, 8, 1555, 1650, 
                                               618, 1012, 2613, 663, 1331, 1264, 1626, 929, 1650, 697, 1822, 
                                               1771, 565, 3, 3, 3, 1, 911, 1340, 1699, 1631, 1738, 1491, 1379, 
                                               907, 1411, 1462, 831, 1937, 1353, 978, 1574, 1373, 567, 59, 315, 
                                               5, 9, 3, 9, 88, 515, 932, 488, 7, 9, 6, 1, 1, 1, 1, 1451, 604, 
                                               956, 366, 1675, 933, 566, 579, 690, 684, 882, 1755, 722, 157, 
                                               311, 820, 1717, 561, 956, 1490, 517, 702, 915, 869, 224, 49, 
                                               62, 868, 736, 7, 6, 5, 1721, 2812, 2015, 1579, 684, 1579, 630, 
                                               1031, 1649, 1104, 989, 599, 1683, 639, 1294, 1787, 636, 849, 
                                               1635, 682, 986, 1638, 1304, 1004, 1333, 1704, 734, 1578, 672, 
                                               889, 1665, 1012, 894, 420, 2795, 1553, 960, 62, 6, 4, 2289, 680, 
                                               1521, 1503, 2391, 1892, 610, 1599, 1366, 1813, 1087, 2203, 2764, 
                                               1794, 566, 665, 764, 1459, 543, 635, 430, 1972, 721, 1734, 1335, 
                                               751, 824, 563, 718, 1712, 570, 296, 53, 72, 39, 2, 6, 1320, 1272, 
                                               1376, 741, 938, 1615, 269, 558, 7, 965, 3, 2951, 1729, 1808, 
                                               2474, 1477, 2381, 402, 1257, 1798, 729, 831, 685, 517, 555, 1319, 
                                               1460, 1598, 1725, 1607, 815, 1687, 1414, 1301, 574, 497, 507, 
                                               1376, 228, 96, 8, 28, 5, 234, 922, 639, 484, 582, 578, 185, 1606, 
                                               5, 1, 3, 1, 1464, 545, 840, 1623, 644, 1684, 952, 1686, 667, 
                                               614, 1332, 501, 624, 481, 567, 1622, 155, 763, 704, 2928, 752, 
                                               1784, 937, 1519, 1871, 654, 1161, 1373, 1433, 763, 730, 123, 
                                               507, 148, 1799, 1659, 930, 558, 1686, 841, 528, 379, 258, 174, 
                                               8, 3, 4, 2, 2, 4, 1, 1, 1, 2, 1, 1, 1078, 1503, 1277, 1413, 2812, 
                                               777, 730, 1408, 1157, 2612, 79, 953, 1295, 1583, 700, 1418, 1506, 
                                               944, 720, 1612, 1620, 1688, 805, 702, 1465, 532, 1656, 2725, 
                                               646, 1041, 1074, 944, 438, 1114, 578, 2, 552, 4, 11, 4, 7, 4, 4)
                           , total_values1 = c(3491, 2301, 2172, 1306, 3557, 3489, 2089, 
                                               2328, 2162, 3377, 925, 2449, 1569, 1260, 373, 958, 861, 2018, 
                                               2472, 668, 536, 1986, 2076, 3269, 1799, 1093, 873, 1168, 909, 
                                               2568, 775, 1710, 1281, 11, 2100, 2272, 793, 1293, 3465, 858, 
                                               1719, 1807, 2222, 1190, 2197, 889, 2557, 2461, 760, 3, 4, 3, 
                                               1, 1182, 1848, 2302, 2210, 2415, 1940, 1910, 1213, 1916, 2069, 
                                               1101, 2492, 1847, 1258, 2359, 1770, 759, 71, 445, 10, 9, 3, 10, 
                                               117, 681, 1238, 665, 7, 13, 9, 1, 1, 1, 1, 2059, 790, 1215, 452, 
                                               2208, 1213, 708, 751, 911, 883, 1143, 2436, 919, 202, 386, 1060, 
                                               2336, 678, 1256, 2029, 673, 900, 1190, 1189, 280, 50, 81, 1129, 
                                               981, 10, 8, 7, 2368, 3984, 2505, 2157, 885, 2039, 825, 1394, 
                                               2189, 1478, 1283, 764, 2313, 803, 1821, 2416, 802, 1143, 2376, 
                                               878, 1274, 2201, 1762, 1312, 1900, 2307, 979, 2199, 882, 1130, 
                                               2227, 1273, 1169, 559, 3686, 1959, 1227, 71, 9, 4, 3094, 908, 
                                               2062, 2096, 3245, 2440, 825, 2162, 1882, 2464, 1528, 2964, 3655, 
                                               2436, 729, 846, 1023, 1985, 674, 829, 533, 2536, 895, 2379, 1896, 
                                               1001, 1097, 701, 938, 2270, 719, 396, 81, 97, 45, 2, 7, 1809, 
                                               1833, 1839, 955, 1185, 2304, 354, 709, 9, 1258, 3, 3918, 2468, 
                                               2536, 3393, 2059, 3005, 529, 1794, 2366, 901, 1117, 923, 676, 
                                               729, 1771, 2004, 2215, 2318, 2138, 1112, 2408, 1919, 1839, 761, 
                                               612, 667, 1767, 280, 137, 10, 33, 6, 308, 1190, 837, 644, 737, 
                                               776, 243, 2071, 6, 1, 3, 1, 2012, 676, 1078, 2148, 824, 2272, 
                                               1265, 2329, 872, 774, 1727, 633, 860, 626, 710, 2124, 196, 991, 
                                               926, 3882, 1006, 2426, 1173, 1994, 2608, 804, 1616, 1850, 1979, 
                                               977, 921, 155, 648, 183, 2503, 2196, 1181, 734, 2353, 1139, 692, 
                                               477, 327, 211, 11, 3, 4, 2, 2, 4, 1, 1, 1, 2, 1, 1, 1413, 1996, 
                                               1721, 1901, 3677, 1053, 953, 1915, 1673, 3440, 105, 1244, 1666, 
                                               2188, 892, 1826, 2120, 1252, 959, 2239, 2222, 2256, 1064, 950, 
                                               2111, 684, 2204, 3554, 815, 1332, 1456, 1200, 571, 1483, 755, 
                                               2, 692, 4, 14, 4, 10, 4, 4))
                      , row.names = c(NA, -350L), class = "data.frame")

my_data2 <- structure(list(month = c("2020-03", "2020-04", "2020-05", "2020-06", "2020-07", "2020-08", "2020-09", "2020-10", "2020-11", "2020-12", "2021-01", "2021-02", "2021-03")
                           , total_values1 = c(1, 42, 283, 8809, 26114, 22968, 29367, 38217, 65061, 82621, 71126, 60691, 43393)
                           , total_values2 = c(1, 42, 229, 6787, 20033, 17793, 22612, 29385, 48197, 62709, 52290, 43860, 31251), total_values2_claims = c(14, 97, 216, 183, 257, 240, 290, 471, 457, 1628, 680, 439, 298)
                           , total_values3 = c(16, 97, 225, 192, 259, 255, 305, 483, 481, 1744, 706, 458, 312))
                      , row.names = c(NA, -13L), class = c("tbl_df", "tbl", "data.frame"))


my_data3 <- structure(list(month = c("2020-03", "2020-04", "2020-05", "2020-06", "2020-07", "2020-08", "2020-09", "2020-10", "2020-11", "2020-12", "2021-01", "2021-02", "2021-03")
                           , total_values1 = c(1, 42, 283, 809, 26114, 22968, 29367, 38217, 65061, 82621, 71126, 60691, 43393)
                           , total_values2 = c(1, 42, 229, 6787, 20033, 17793, 22612, 29385, 48197, 62709, 52290, 43860, 31251))
                      , row.names = c(NA, -13L)
                      , class = c("tbl_df", "tbl", "data.frame"))

graph1 <- my_data1 %>%
  ggplot() +
  geom_line(aes(x=day,y=total_values1)) +
  geom_point(aes(x=day,y=total_values1)) +
  theme_bw() +
  ylab('') +
  xlab('') +
  ggtitle('Graph 1')

graph2 <- my_data2 %>%
  ggplot() +
  geom_line(aes(x=month,y=total_values3,group=1),linetype='dotted') +
  geom_point(aes(x=month,y=total_values3)) +
  theme_bw() +
  theme(axis.text.x = element_text(angle = 45, vjust = 0.5, hjust=.5)) +
  ylab('') +
  xlab('') +
  ggtitle('Graph 2')

graph3 <- my_data3 %>%
  ggplot() +
  geom_line(aes(x=month,y=total_values1,group=1, colour='black')) +
  geom_point(aes(x=month,y=total_values1)) +
  geom_line(aes(x=month,y=total_values2,group=1, colour='grey'), linetype='dashed') +
  geom_point(aes(x=month,y=total_values2)) +
  scale_color_discrete(name = "Legend", labels = c("total_values1", "total_values2")) +
  theme_bw() +
  theme(axis.text.x = element_text(angle = 45, vjust = 0.5, hjust=.5)) +
  ylab('') +
  xlab('') +
  ggtitle('Graph 3')

top_row <- cowplot::plot_grid(graph1, graph2
                     , align = "h")

final_graph <- cowplot::plot_grid(top_row, graph3
                                  , ncol = 1)

final_graph

ggplotly(final_graph)

Commencez par l’exemple fourni de cowplot::plot_grid() et le point d’entrée plotly::ggplotly(), puis suivez le chemin du geom non pris en charge geom_GeomDrawGrob(). C’est terminé lorsque le graphique regroupé peut être transmis à ggplotly() sans cette erreur et reste interactif.