我正在绘制溜冰场上射击位置的数据集。我想使用plotly
使用户将鼠标悬停在每个点上时可以看到一个描述框。我认为可以使用custom tooltip
溜冰场存储在rink
对象中。
rink <- rasterGrob(readJPEG("full-rink.jpg"))
这是我正在使用的数据集的前5行:
structure(list(game_date = structure(c(17674, 17674, 17674, 17674,
17674), class = "Date"), event_team = c("WSH", "WSH", "T.B",
"T.B", "T.B"), event_description = c("WSH #8 OVECHKIN(12), Slap, Off. Zone, 53 ft.Assists: #92 KUZNETSOV(13); #43 WILSON(8) Expected Goal Prob: 1.6%",
"WSH ONGOAL - #92 KUZNETSOV, Wrist, Off. Zone, 13 ft. Expected Goal Prob: 50.4%",
"T.B ONGOAL - #17 KILLORN, Backhand, Off. Zone, 18 ft. Expected Goal Prob: 4.5%",
"T.B ONGOAL - #17 KILLORN, Wrist, Off. Zone, 23 ft. Expected Goal Prob: 4.6%",
"T.B ONGOAL - #27 MCDONAGH, Slap, Off. Zone, 57 ft. Expected Goal Prob: 1.2%"
), event_type = c("GOAL", "SHOT", "SHOT", "SHOT", "SHOT"), home_team = c("T.B",
"T.B", "T.B", "T.B", "T.B"), away_team = c("WSH", "WSH", "WSH",
"WSH", "WSH"), coords_x = c(-42, -80.3, 71, 67, 34), coords_y = c(-21,
12, -3, 9, 19)), class = c("tbl_df", "tbl", "data.frame"), row.names = c(NA,
-5L))
这是我的情节的代码:
example_data %>%
ggplot(aes(coords_x, coords_y, text = event_description)) +
annotation_custom(rink, -100, 100, -45, 45) +
geom_point(aes(color = event_team), size = 3, show.legend = FALSE) +
coord_fixed() +
xlim(-100, 100) +
ylim(-45, 45) +
theme_nothing() +
theme(text = element_text(size = 15),
plot.title = element_text(hjust = 0.5)) +
ggtitle(paste0(game_date, "\n", away_team, " vs ", home_team)) +
scale_color_manual(values = c("#000000", "slategrey"))
不幸的是,一旦我跑步
ggplotly(pbp_plotly_processed)
,我收到一条错误消息:
Warning message:
In geom2trace.default(dots[[1L]][[1L]], dots[[2L]][[1L]], dots[[3L]][[1L]]) :
geom_GeomCustomAnn() has yet to be implemented in plotly.`
尚不认为plotly
中可以做到这一点。有没有人可以建议的解决方法?
谢谢!
答案 0 :(得分:0)
一个好的解决方案是直接使用plotly构建您的绘图:
library(plotly)
example_data %>%
plot_ly(x = ~coords_x, y=~coords_y,
text=~paste("Event team:", event_team, "<br>Event type:", event_type)) %>%
add_markers(marker=list(size=20)) %>%
layout(
xaxis = list(range = c(-100,100)),
yaxis = list(range = c(-45,45)),
images= list(
list(
source= "https://i.imgur.com/Y2kOUX5.png",
xref= "paper",
yref= "paper",
x= 0,
y= 1,
sizex= 1,
sizey= 1,
opacity= 0.8,
layer = "below")
)
)
警告。从链接https://i.imgur.com/Y2kOUX5.png下载的图像 是删除白色边框后的原始图像。