ggplot2 和 plotly 的悬停日期格式
Date format in hover for ggplot2 and plotly
我对 plotly 中的日期格式有疑问。我在 ggplot2 中制作了一个时间序列图，我试图用 plotly 进行可视化，但是悬停时出现了日期时间的格式问题（见图）。我希望日期格式为 YYMMD-hh:mm。我怎样才能得到这种格式？
我的脚本中的相关 R 代码：
library(lubridate)
datosO3.melt <- melt(datosO3.plot, id.vars="fecha", value.name="value")
ozono.plot <- ggplot() + geom_line(data=datosO3.melt, aes(x=fecha, y=value, colour=variable))
ggplotly(ozono.plot)
重点是数据框中的列 fecha 是在前一个数据框中创建的日期时间对象。
datosO3<-within(datosO3, fecha.hora <- ymd_hm(paste(datosO3$AAMMDD,datosO3$hhmm,sep="")))
并由 datosO3.melt
继承
str(datosO3.melt)
'data.frame': 23328 obs. of 3 variables:
$ fecha : POSIXct, format: "2017-06-13 00:00:00" "2017-06-13 00:10:00" ...
$ variable: Factor w/ 54 levels "Alcoi.Verge_dels_Lliris",..: 1 1 1 1 1 1 1 1 1 1 ...
$ value : num 75 76 73 72 71 72 73 74 74 73 ...
但是当我 dput 我得到：
> dput(data)
structure(list(fecha = structure(c(1497312000, 1497312600, 1497313200,
1497313800, 1497314400, 1497315000, 1497315600, 1497316200, 1497316800,
1497317400, 1497318000, 1497318600, 1497319200, 1497319800, 1497320400,
1497321000, 1497321600, 1497322200, 1497322800, 1497323400, 1497324000,
1497324600, 1497325200, 1497325800, 1497326400, 1497327000, 1497327600,
1497328200, 1497328800, 1497329400, 1497330000, 1497330600, 1497331200,
1497331800, 1497332400, 1497333000, 1497333600, 1497334200, 1497334800,
1497335400, 1497336000, 1497336600, 1497337200, 1497337800, 1497338400,
1497339000, 1497339600, 1497340200, 1497340800, 1497341400, 1497342000,
1497342600, 1497343200, 1497343800, 1497344400, 1497345000, 1497345600,
1497346200, 1497346800, 1497347400, 1497348000, 1497348600, 1497349200,
1497349800, 1497350400, 1497351000, 1497351600, 1497352200, 1497352800,
1497353400, 1497354000, 1497354600, 1497355200, 1497355800, 1497356400,
1497357000, 1497357600, 1497358200, 1497358800, 1497359400, 1497360000,
1497360600, 1497361200, 1497361800, 1497362400, 1497363000, 1497363600,
1497364200, 1497364800, 1497365400, 1497366000, 1497366600, 1497367200,
1497367800, 1497368400, 1497369000, 1497369600, 1497370200, 1497370800,
1497371400), class = c("POSIXct", "POSIXt"), tzone = "UTC"),
variable = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L), .Label = c("Alcoi.Verge_dels_Lliris", "Alacant.El_Pla",
"Alacant.Florida_Babel", "Alacant.Rabassa", "Benidorm", "Elx.Agroalimentari",
"Elx.Parc_de_Bombers", "Elda.Lacy", "Orihuela", "El_Pinos",
"Torrevieja", "L.Alcora", "Burriana", "Castello.Penyeta",
"Castello.Ermita", "Castello.Grau", "Castello.Patronat_d.Esports",
"Cirat", "Morella", "Onda", "Coratxar", "Sant_Jordi", "Torre_Endomenech",
"La_Vall_d.Uixo", "Vilafranca", "Vinaros_Planta", "Viver",
"Zorita", "Albalat_dels_Tarongers", "Alzira", "Algar_de_Palancia",
"Beniganim", "Bunnol.Cemex", "Burjassot.Facultats", "Caudete_de_las_Fuentes",
"Cortes_de_Pallas", "Quart_de_Poblet", "Gandia", "Ontinyent",
"Paterna.CEAM", "Sagunt.Port", "Sagunt.Nord", "Sagunt.CEA",
"Torrebaja", "Valencia.Pista_de_Silla", "Valencia.Vivers",
"Valencia.Politecnic", "Valencia.Avd._Francia", "Valencia.Moli_del_Sol",
"Valencia.Bulevard_Sud", "Vilamarxant", "Villar_del_Arzobispo",
"Torrent.El_Vedat", "Chiva_UM"), class = "factor"), value = c(75,
76, 73, 72, 71, 72, 73, 74, 74, 73, 71, 72, 71, 72, 74, 74,
73, 73, 73, 74, 74, 74, 72, 72, 72, 71, 70, 70, 70, 70, 72,
71, 68, 66, 68, 68, 65, 61, 63, 65, 71, 71, 79, 91, 84, 82,
91, 94, 91, 88, 88, 92, 99, 102, 103, 100, 105, 104, 104,
101, 102, 100, 101, 104, 109, 109, 112, 115, 116, 116, 113,
111, 110, 113, 113, 114, 115, 115, 114, 113, 111, 112, 115,
114, 112, 112, 114, 116, 116, 115, 114, 115, 113, 112, 112,
110, 109, 110, 110, 111)), .Names = c("fecha", "variable",
"value"), row.names = c(NA, 100L), class = "data.frame")
>
如何更改悬停中反映的 fecha 格式？
编辑 1： 添加数据
> dput(datosO3.plot)
structure(list(Alcoi.Verge_dels_Lliris = c(75, 76, 73, 72, 71,
72), Alacant.El_Pla = c(56, 55, 53, 56, 55, 54), Alacant.Florida_Babel = c(56,
49, 48, 45, 44, 42), Alacant.Rabassa = c(43, 42, 43, 41, 41,
43), Benidorm = c(110, 105, 95, 107, 110, 107), Elx.Agroalimentari = c(80,
77, 75, 69, 64, 62), Elx.Parc_de_Bombers = c(71, 68, 67, 68,
65, 66), Elda.Lacy = c(39, 34, 32, 28, 25, 26), Orihuela = c(16,
13, 25, 13, 17, 9), El_Pinos = c(48, 35, 36, 35, 33, 43), Torrevieja = c(NA_real_,
NA_real_, NA_real_, NA_real_, NA_real_, NA_real_), L.Alcora = c(40,
45, 42, 44, 48, 50), Burriana = c(14, 8, 8, 9, 7, 7), Castello.Penyeta = c(57,
61, 68, 65, 58, 59), Castello.Ermita = c(18, 20, 14, 16, 21,
19), Castello.Grau = c(20, 21, 19, 13, 11, 16), Castello.Patronat_d.Esports = c(36,
26, 29, 28, 28, 29), Cirat = c(56, 56, 54, 54, 51, 51), Morella = c(119,
121, 122, 122, 123, 123), Onda = c(57, 58, 57, 58, 60, 60), Coratxar = c(123,
125, 126, 127, 128, 125), Sant_Jordi = c(37, 36, 37, 38, 40,
39), Torre_Endomenech = c(28, 34, 35, 32, 30, 30), La_Vall_d.Uixo = c(63,
64, 65, 65, 64, 65), Vilafranca = c(100, 101, 97, 98, 97, 99),
Vinaros_Planta = c(26.7, 31.3, 31.6, 31.7, 37.8, 41.7), Viver = c(40.6,
36.9, 47.6, 36.7, 43.5, 46.1), Zorita = c(67, 70, 69, 64,
64, 68), Albalat_dels_Tarongers = c(33, 32, 32, 29, 26, 26
), Alzira = c(24, 26, 23, 19, 20, 39), Algar_de_Palancia = c(47,
50, 48, 49, 47, 52), Beniganim = c(53, 58, 56, 56, 54, 53
), Bunnol.Cemex = c(64, 55, 53, 53, 53, 55), Burjassot.Facultats = c(43,
30, 30, 28, 16, 20), Caudete_de_las_Fuentes = c(71, 68, 66,
72, 74, 72), Cortes_de_Pallas = c(88, 74, 78, 82, 82, 85),
Quart_de_Poblet = c(13, 18, 21, 23, 30, 38), Gandia = c(45,
39, 49, 49, 48, 46), Ontinyent = c(88, 83, 83, 89, 86, 82
), Paterna.CEAM = c(48, 49, 47, 47, 48, 47), Sagunt.Port = c(52,
51, 51, 50, 50, 49), Sagunt.Nord = c(33, 34, 34, 32, 31,
31), Sagunt.CEA = c(34.8, 36.3, 37.6, 43.8, 40.7, 37.5),
Torrebaja = c(51, 42, 56, 52, 45, 65), Valencia.Pista_de_Silla = c(37,
52, 57, 60, 35, 7), Valencia.Vivers = c(45, 42, 39, 34, 32,
33), Valencia.Politecnic = c(40, 33, 30, 26, 25, 23), Valencia.Avd._Francia = c(54,
50, 50, 48, 45, 43), Valencia.Moli_del_Sol = c(9, 10, 10,
8, 7, 9), Valencia.Bulevard_Sud = c(1, 0, 0, 2, 0, 0), Vilamarxant = c(21,
29, 33, 27, 33, 22), Villar_del_Arzobispo = c(55, 57, 57,
54, 53, 55), Torrent.El_Vedat = c(NA_real_, NA_real_, NA_real_,
NA_real_, NA_real_, NA_real_), Chiva_UM = c(NA_real_, NA_real_,
NA_real_, NA_real_, NA_real_, NA_real_), fecha = structure(c(1497312000,
1497312600, 1497313200, 1497313800, 1497314400, 1497315000
), class = c("POSIXct", "POSIXt"), tzone = "UTC")), .Names = c("Alcoi.Verge_dels_Lliris",
"Alacant.El_Pla", "Alacant.Florida_Babel", "Alacant.Rabassa",
"Benidorm", "Elx.Agroalimentari", "Elx.Parc_de_Bombers", "Elda.Lacy",
"Orihuela", "El_Pinos", "Torrevieja", "L.Alcora", "Burriana",
"Castello.Penyeta", "Castello.Ermita", "Castello.Grau", "Castello.Patronat_d.Esports",
"Cirat", "Morella", "Onda", "Coratxar", "Sant_Jordi", "Torre_Endomenech",
"La_Vall_d.Uixo", "Vilafranca", "Vinaros_Planta", "Viver", "Zorita",
"Albalat_dels_Tarongers", "Alzira", "Algar_de_Palancia", "Beniganim",
"Bunnol.Cemex", "Burjassot.Facultats", "Caudete_de_las_Fuentes",
"Cortes_de_Pallas", "Quart_de_Poblet", "Gandia", "Ontinyent",
"Paterna.CEAM", "Sagunt.Port", "Sagunt.Nord", "Sagunt.CEA", "Torrebaja",
"Valencia.Pista_de_Silla", "Valencia.Vivers", "Valencia.Politecnic",
"Valencia.Avd._Francia", "Valencia.Moli_del_Sol", "Valencia.Bulevard_Sud",
"Vilamarxant", "Villar_del_Arzobispo", "Torrent.El_Vedat", "Chiva_UM",
"fecha"), row.names = 289:294, class = "data.frame")
我们可以使用 "hidden" text aes，在工具提示中使用它：
ggplot(datosO3.melt) +
geom_line(aes(x = fecha,
y = value,
colour = variable,
group = variable,
text = paste('fecha: ', fecha, '\n',
'variable: ', variable, '\n',
'value: ', value, '\n')
)
)
ggplotly(tooltip = 'text')
然而，对于任何比默认稍微复杂的东西，尤其是在使用悬停工具提示时，我通常更喜欢直接在 plotly:
中工作
plot_ly(datosO3.melt,
type = 'scatter',
mode = 'lines',
x = ~fecha,
y = ~value,
color = ~variable,
text = ~paste('fecha: ', fecha, '\n',
'variable: ', variable, '\n',
'value: ', value, '\n'),
hoverinfo = 'text'
)
要使用自定义日期格式，除 print.Date 默认值外，只需将 fecha 替换为您喜欢的格式，例如：
plot_ly(datosO3.melt,
type = 'scatter',
mode = 'lines',
x = ~fecha,
y = ~value,
color = ~variable,
text = ~paste('fecha: ', format(fecha, '%Y-%m-%d %H:%M'), '\n',
'variable: ', variable, '\n',
'value: ', value, '\n'),
hoverinfo = 'text'
)
我对 plotly 中的日期格式有疑问。我在 ggplot2 中制作了一个时间序列图，我试图用 plotly 进行可视化，但是悬停时出现了日期时间的格式问题（见图）。我希望日期格式为 YYMMD-hh:mm。我怎样才能得到这种格式？
我的脚本中的相关 R 代码：
library(lubridate)
datosO3.melt <- melt(datosO3.plot, id.vars="fecha", value.name="value")
ozono.plot <- ggplot() + geom_line(data=datosO3.melt, aes(x=fecha, y=value, colour=variable))
ggplotly(ozono.plot)
重点是数据框中的列 fecha 是在前一个数据框中创建的日期时间对象。
datosO3<-within(datosO3, fecha.hora <- ymd_hm(paste(datosO3$AAMMDD,datosO3$hhmm,sep="")))
并由 datosO3.melt
继承str(datosO3.melt)
'data.frame': 23328 obs. of 3 variables:
$ fecha : POSIXct, format: "2017-06-13 00:00:00" "2017-06-13 00:10:00" ...
$ variable: Factor w/ 54 levels "Alcoi.Verge_dels_Lliris",..: 1 1 1 1 1 1 1 1 1 1 ...
$ value : num 75 76 73 72 71 72 73 74 74 73 ...
但是当我 dput 我得到：
> dput(data)
structure(list(fecha = structure(c(1497312000, 1497312600, 1497313200,
1497313800, 1497314400, 1497315000, 1497315600, 1497316200, 1497316800,
1497317400, 1497318000, 1497318600, 1497319200, 1497319800, 1497320400,
1497321000, 1497321600, 1497322200, 1497322800, 1497323400, 1497324000,
1497324600, 1497325200, 1497325800, 1497326400, 1497327000, 1497327600,
1497328200, 1497328800, 1497329400, 1497330000, 1497330600, 1497331200,
1497331800, 1497332400, 1497333000, 1497333600, 1497334200, 1497334800,
1497335400, 1497336000, 1497336600, 1497337200, 1497337800, 1497338400,
1497339000, 1497339600, 1497340200, 1497340800, 1497341400, 1497342000,
1497342600, 1497343200, 1497343800, 1497344400, 1497345000, 1497345600,
1497346200, 1497346800, 1497347400, 1497348000, 1497348600, 1497349200,
1497349800, 1497350400, 1497351000, 1497351600, 1497352200, 1497352800,
1497353400, 1497354000, 1497354600, 1497355200, 1497355800, 1497356400,
1497357000, 1497357600, 1497358200, 1497358800, 1497359400, 1497360000,
1497360600, 1497361200, 1497361800, 1497362400, 1497363000, 1497363600,
1497364200, 1497364800, 1497365400, 1497366000, 1497366600, 1497367200,
1497367800, 1497368400, 1497369000, 1497369600, 1497370200, 1497370800,
1497371400), class = c("POSIXct", "POSIXt"), tzone = "UTC"),
variable = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L), .Label = c("Alcoi.Verge_dels_Lliris", "Alacant.El_Pla",
"Alacant.Florida_Babel", "Alacant.Rabassa", "Benidorm", "Elx.Agroalimentari",
"Elx.Parc_de_Bombers", "Elda.Lacy", "Orihuela", "El_Pinos",
"Torrevieja", "L.Alcora", "Burriana", "Castello.Penyeta",
"Castello.Ermita", "Castello.Grau", "Castello.Patronat_d.Esports",
"Cirat", "Morella", "Onda", "Coratxar", "Sant_Jordi", "Torre_Endomenech",
"La_Vall_d.Uixo", "Vilafranca", "Vinaros_Planta", "Viver",
"Zorita", "Albalat_dels_Tarongers", "Alzira", "Algar_de_Palancia",
"Beniganim", "Bunnol.Cemex", "Burjassot.Facultats", "Caudete_de_las_Fuentes",
"Cortes_de_Pallas", "Quart_de_Poblet", "Gandia", "Ontinyent",
"Paterna.CEAM", "Sagunt.Port", "Sagunt.Nord", "Sagunt.CEA",
"Torrebaja", "Valencia.Pista_de_Silla", "Valencia.Vivers",
"Valencia.Politecnic", "Valencia.Avd._Francia", "Valencia.Moli_del_Sol",
"Valencia.Bulevard_Sud", "Vilamarxant", "Villar_del_Arzobispo",
"Torrent.El_Vedat", "Chiva_UM"), class = "factor"), value = c(75,
76, 73, 72, 71, 72, 73, 74, 74, 73, 71, 72, 71, 72, 74, 74,
73, 73, 73, 74, 74, 74, 72, 72, 72, 71, 70, 70, 70, 70, 72,
71, 68, 66, 68, 68, 65, 61, 63, 65, 71, 71, 79, 91, 84, 82,
91, 94, 91, 88, 88, 92, 99, 102, 103, 100, 105, 104, 104,
101, 102, 100, 101, 104, 109, 109, 112, 115, 116, 116, 113,
111, 110, 113, 113, 114, 115, 115, 114, 113, 111, 112, 115,
114, 112, 112, 114, 116, 116, 115, 114, 115, 113, 112, 112,
110, 109, 110, 110, 111)), .Names = c("fecha", "variable",
"value"), row.names = c(NA, 100L), class = "data.frame")
>
如何更改悬停中反映的 fecha 格式？
编辑 1： 添加数据
> dput(datosO3.plot)
structure(list(Alcoi.Verge_dels_Lliris = c(75, 76, 73, 72, 71,
72), Alacant.El_Pla = c(56, 55, 53, 56, 55, 54), Alacant.Florida_Babel = c(56,
49, 48, 45, 44, 42), Alacant.Rabassa = c(43, 42, 43, 41, 41,
43), Benidorm = c(110, 105, 95, 107, 110, 107), Elx.Agroalimentari = c(80,
77, 75, 69, 64, 62), Elx.Parc_de_Bombers = c(71, 68, 67, 68,
65, 66), Elda.Lacy = c(39, 34, 32, 28, 25, 26), Orihuela = c(16,
13, 25, 13, 17, 9), El_Pinos = c(48, 35, 36, 35, 33, 43), Torrevieja = c(NA_real_,
NA_real_, NA_real_, NA_real_, NA_real_, NA_real_), L.Alcora = c(40,
45, 42, 44, 48, 50), Burriana = c(14, 8, 8, 9, 7, 7), Castello.Penyeta = c(57,
61, 68, 65, 58, 59), Castello.Ermita = c(18, 20, 14, 16, 21,
19), Castello.Grau = c(20, 21, 19, 13, 11, 16), Castello.Patronat_d.Esports = c(36,
26, 29, 28, 28, 29), Cirat = c(56, 56, 54, 54, 51, 51), Morella = c(119,
121, 122, 122, 123, 123), Onda = c(57, 58, 57, 58, 60, 60), Coratxar = c(123,
125, 126, 127, 128, 125), Sant_Jordi = c(37, 36, 37, 38, 40,
39), Torre_Endomenech = c(28, 34, 35, 32, 30, 30), La_Vall_d.Uixo = c(63,
64, 65, 65, 64, 65), Vilafranca = c(100, 101, 97, 98, 97, 99),
Vinaros_Planta = c(26.7, 31.3, 31.6, 31.7, 37.8, 41.7), Viver = c(40.6,
36.9, 47.6, 36.7, 43.5, 46.1), Zorita = c(67, 70, 69, 64,
64, 68), Albalat_dels_Tarongers = c(33, 32, 32, 29, 26, 26
), Alzira = c(24, 26, 23, 19, 20, 39), Algar_de_Palancia = c(47,
50, 48, 49, 47, 52), Beniganim = c(53, 58, 56, 56, 54, 53
), Bunnol.Cemex = c(64, 55, 53, 53, 53, 55), Burjassot.Facultats = c(43,
30, 30, 28, 16, 20), Caudete_de_las_Fuentes = c(71, 68, 66,
72, 74, 72), Cortes_de_Pallas = c(88, 74, 78, 82, 82, 85),
Quart_de_Poblet = c(13, 18, 21, 23, 30, 38), Gandia = c(45,
39, 49, 49, 48, 46), Ontinyent = c(88, 83, 83, 89, 86, 82
), Paterna.CEAM = c(48, 49, 47, 47, 48, 47), Sagunt.Port = c(52,
51, 51, 50, 50, 49), Sagunt.Nord = c(33, 34, 34, 32, 31,
31), Sagunt.CEA = c(34.8, 36.3, 37.6, 43.8, 40.7, 37.5),
Torrebaja = c(51, 42, 56, 52, 45, 65), Valencia.Pista_de_Silla = c(37,
52, 57, 60, 35, 7), Valencia.Vivers = c(45, 42, 39, 34, 32,
33), Valencia.Politecnic = c(40, 33, 30, 26, 25, 23), Valencia.Avd._Francia = c(54,
50, 50, 48, 45, 43), Valencia.Moli_del_Sol = c(9, 10, 10,
8, 7, 9), Valencia.Bulevard_Sud = c(1, 0, 0, 2, 0, 0), Vilamarxant = c(21,
29, 33, 27, 33, 22), Villar_del_Arzobispo = c(55, 57, 57,
54, 53, 55), Torrent.El_Vedat = c(NA_real_, NA_real_, NA_real_,
NA_real_, NA_real_, NA_real_), Chiva_UM = c(NA_real_, NA_real_,
NA_real_, NA_real_, NA_real_, NA_real_), fecha = structure(c(1497312000,
1497312600, 1497313200, 1497313800, 1497314400, 1497315000
), class = c("POSIXct", "POSIXt"), tzone = "UTC")), .Names = c("Alcoi.Verge_dels_Lliris",
"Alacant.El_Pla", "Alacant.Florida_Babel", "Alacant.Rabassa",
"Benidorm", "Elx.Agroalimentari", "Elx.Parc_de_Bombers", "Elda.Lacy",
"Orihuela", "El_Pinos", "Torrevieja", "L.Alcora", "Burriana",
"Castello.Penyeta", "Castello.Ermita", "Castello.Grau", "Castello.Patronat_d.Esports",
"Cirat", "Morella", "Onda", "Coratxar", "Sant_Jordi", "Torre_Endomenech",
"La_Vall_d.Uixo", "Vilafranca", "Vinaros_Planta", "Viver", "Zorita",
"Albalat_dels_Tarongers", "Alzira", "Algar_de_Palancia", "Beniganim",
"Bunnol.Cemex", "Burjassot.Facultats", "Caudete_de_las_Fuentes",
"Cortes_de_Pallas", "Quart_de_Poblet", "Gandia", "Ontinyent",
"Paterna.CEAM", "Sagunt.Port", "Sagunt.Nord", "Sagunt.CEA", "Torrebaja",
"Valencia.Pista_de_Silla", "Valencia.Vivers", "Valencia.Politecnic",
"Valencia.Avd._Francia", "Valencia.Moli_del_Sol", "Valencia.Bulevard_Sud",
"Vilamarxant", "Villar_del_Arzobispo", "Torrent.El_Vedat", "Chiva_UM",
"fecha"), row.names = 289:294, class = "data.frame")
我们可以使用 "hidden" text aes，在工具提示中使用它：
ggplot(datosO3.melt) +
geom_line(aes(x = fecha,
y = value,
colour = variable,
group = variable,
text = paste('fecha: ', fecha, '\n',
'variable: ', variable, '\n',
'value: ', value, '\n')
)
)
ggplotly(tooltip = 'text')
然而，对于任何比默认稍微复杂的东西，尤其是在使用悬停工具提示时，我通常更喜欢直接在 plotly:
plot_ly(datosO3.melt,
type = 'scatter',
mode = 'lines',
x = ~fecha,
y = ~value,
color = ~variable,
text = ~paste('fecha: ', fecha, '\n',
'variable: ', variable, '\n',
'value: ', value, '\n'),
hoverinfo = 'text'
)
要使用自定义日期格式，除 print.Date 默认值外，只需将 fecha 替换为您喜欢的格式，例如：
plot_ly(datosO3.melt,
type = 'scatter',
mode = 'lines',
x = ~fecha,
y = ~value,
color = ~variable,
text = ~paste('fecha: ', format(fecha, '%Y-%m-%d %H:%M'), '\n',
'variable: ', variable, '\n',
'value: ', value, '\n'),
hoverinfo = 'text'
)