[英]R ggplot2 add legend to linetype
Based on the following code how can I add a legend to the black line ( Historic Trend
) type using ggplotly
(Because ggplotly
adds numbers (like ,0
) to legend sometimes which you don't get with a simple ggplot
legend)?基于以下代码,如何使用
ggplotly
将图例添加到黑线( Historic Trend
)类型(因为ggplotly
有时会向图例添加数字(如,0
),而简单的ggplot
图例无法获得)?
Should I add aes(color = "black")
to geom_vline
or geom_hline
?我应该将
aes(color = "black")
添加到geom_vline
还是geom_hline
?
Sample data ( AvgTMeanYear
):样本数据(
AvgTMeanYear
):
structure(list(year = 1980:2021, AvgTMean = c(24.2700686838937,
23.8852956598276, 25.094446596092, 24.1561175050287, 24.157183605977,
24.3047482638362, 24.7899738481466, 24.5756232655603, 24.5833086228592,
24.7344695534483, 25.3094451071121, 25.2100615173707, 24.3651692293534,
24.5423890611494, 25.2492166633908, 24.7005097837931, 24.2491591827443,
25.0912281781322, 25.0779264303305, 24.403294248319, 24.4983991453592,
24.4292324356466, 24.8179824927011, 24.7243948463075, 24.5086534543966,
24.2818632071983, 24.4567195220259, 24.8402224356034, 24.6574465515086,
24.5440715673563, 23.482670620977, 24.9979594684914, 24.5452453980747,
24.9271462811494, 24.7443215819253, 25.8929839790805, 25.1801908261063,
25.2079308058908, 25.0722425561207, 25.4554644289799, 25.4548979078736,
25.0756772250287)), class = c("tbl_df", "tbl", "data.frame"), row.names = c(NA,
-42L))
Code:代码:
ggT = ggplot(AvgTMeanYear, aes(year, AvgTMean)) +
geom_smooth(method = 'lm', fullrange = TRUE, aes(color = "blue")) +
annotate('rect', xmin = -Inf, xmax = 2021, ymin = -Inf, ymax = Inf,
fill = 'gray92') +
geom_vline(xintercept = seq(1980, 2020, 5), color = 'white') +
geom_hline(yintercept = seq(23.5, 25.5, 0.5), color = 'white') +
geom_line() +
scale_x_continuous(limits = c(1980, 2030)) +
scale_colour_manual(name = "Legend", values = "blue", label = "Future Trend")
ggplotly(ggT)
If you want to have a legend you have to map on aesthetics, ie use eg geom_line(aes(color = "Historic Trend"))
to get a legend entry for the black line too.如果你想要一个图例,你必须在美学上进行映射,即使用例如
geom_line(aes(color = "Historic Trend"))
来获取黑线的图例条目。 Additionally I slightly adjusted your code an used color ="Future Trend"
for your blue line too.此外,我也为您的蓝线稍微调整了您的代码使用的
color ="Future Trend"
。 The reason is that using the labels
argument of scale_colour_manual
did not work when converting via ggplotly()
.原因是通过
ggplotly()
转换时,使用scale_colour_manual
的labels
参数不起作用。
library(plotly)
ggT <- ggplot(AvgTMeanYear, aes(year, AvgTMean)) +
geom_smooth(method = 'lm', fullrange = TRUE, aes(color = "Future Trend")) +
annotate('rect', xmin = -Inf, xmax = 2021, ymin = -Inf, ymax = Inf,
fill = 'gray92') +
geom_vline(xintercept = seq(1980, 2020, 5), color = 'white') +
geom_hline(yintercept = seq(23.5, 25.5, 0.5), color = 'white') +
geom_line(aes(color = "Historic Trend")) +
scale_x_continuous(limits = c(1980, 2030)) +
scale_colour_manual(name = "Legend", values = c( "Future Trend" = "blue", "Historic Trend" = "black"))
ggplotly(ggT)
声明:本站的技术帖子网页,遵循CC BY-SA 4.0协议,如果您需要转载,请注明本站网址或者原文地址。任何问题请咨询:yoyou2525@163.com.