在帧结束后将线图绘制为GGR
我试图创造一个互动的情节。我的线条有不同的框架（有些末端更短）。播放动画时，线在其帧结束后消失。我试图用添加的帧添加更多的伪数据行，但这并没有产生任何影响。我不知道为什么会这样 样本数据：在帧结束后将线图绘制为GGR,r,ggplot2,plotly,ggplotly,R,Ggplot2,Plotly,Ggplotly,我试图创造一个互动的情节。我的线条有不同的框架（有些末端更短）。播放动画时，线在其帧结束后消失。我试图用添加的帧添加更多的伪数据行，但这并没有产生任何影响。我不知道为什么会这样 样本数据： > dput(sample_n(Plot, 20)) structure(list(Strain = c(0.0114976650717703, 0.0283627375, 0.00173272727272728, 0.0150241, 0.0450557, 0.0113663, 3.97637e-0
> dput(sample_n(Plot, 20))
structure(list(Strain = c(0.0114976650717703, 0.0283627375, 0.00173272727272728,
0.0150241, 0.0450557, 0.0113663, 3.97637e-05, 0.0434292, 0.00406928,
0.00207895693779905, 0.000215139, 0.00148572499999999, 0.0418233875,
0.000939926, 0.000255219, 0.0213334, 0.023816, 0.0145059, 0.0131467081339713,
0.0668966), Stress = c(75.9505644091148, 78.5302055162329, 48.6062116858257,
68.4024611345473, 85.2904610049016, 63.9140059100703, 1.43583171490823,
84.8256506176318, 64.1272033757161, 53.8795512181689, 14.442082799196,
64.3587637619208, 84.731707366194, 25.4200560130662, 13.8571035440045,
84.1313452985436, 85.4161843153761, 67.9158653588222, 77.7143709896995,
90.4239965485986), Instrumentation = structure(c(2L, 2L, 2L,
1L, 1L, 1L, 1L, 1L, 1L, 2L, 1L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 2L,
1L), .Label = c("DIC", "LVDT"), class = "factor"), Bar = structure(c(1L,
2L, 1L, 2L, 2L, 2L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 1L, 1L, 1L,
2L, 1L, 2L), .Label = c("Spliced", "Unspliced"), class = "factor"),
ANIM = c(0.01, 0.03, 0, 0.02, 0.05, 0.01, 0, 0.04, 0, 0,
0, 0, 0.04, 0, 0, 0.02, 0.02, 0.01, 0.01, 0.07), frame = c(0.05,
0.05, 0.04, 0.13, 0.05, 0.1, 0.01, 0.11, 0.02, 0, 0.04, 0.11,
0.09, 0.01, 0.01, 0.04, 0.06, 0.09, 0.05, 0.08)), row.names = c(NA,
-20L), class = "data.frame")
accumulate_by <- function(dat, var) {
var <- lazyeval::f_eval(var, dat)
lvls <- plotly:::getLevels(var)
dats <- lapply(seq_along(lvls), function(x) {
cbind(dat[var %in% lvls[seq(1, x)], ], frame = lvls[[x]])
})
dplyr::bind_rows(dats)
}
关于上述方法，有两个问题：
rbindtooltiplibrary(plotly)
library(dplyr)
accumulate_by <- function(dat, var) {
var <- lazyeval::f_eval(var, dat)
lvls <- plotly:::getLevels(var)
dats <- lapply(seq_along(lvls), function(x) {
cbind(dat[var %in% lvls[seq(1, x)], ], frame = lvls[[x]])
})
dplyr::bind_rows(dats)
}
Plot.Spliced_DIC <-
structure(list(Strain = c(0.00635239, 0.00646411, 0.00304078, 0.00104394, 0.00138191),
Stress = c(64.9199586945409, 65.0674673934705, 60.7649363239015, 26.5627079525764, 39.4159208404832),
Instrumentation = structure(c(1L, 1L, 1L, 1L, 1L), .Label = "DIC", class = "factor"),
Bar = structure(c(1L, 1L, 1L, 1L, 1L), .Label = "Spliced", class = "factor"),
ANIM = c(0.01, 0.01, 0, 0, 0)), class = "data.frame", row.names = c(NA, -5L))
Plot.Unspliced_DIC <-
structure(list(Strain = c(7.66444e-05, 0.112481, 6.7294e-05, 0.00275991, 0.0600871),
Stress = c(0.00344797841982851, 92.8897366602444, 0.522824377824084, 64.3513766859271, 88.2700702030104),
Instrumentation = structure(c(1L, 1L, 1L, 1L, 1L), .Label = "DIC", class = "factor"),
Bar = structure(c(1L, 1L, 1L, 1L, 1L), .Label = "Unspliced", class = "factor"),
ANIM = c(0, 0.11, 0, 0, 0.06)), class = "data.frame", row.names = c(NA, -5L))
Plot.Unspliced_LVDT <-
structure(list(Strain = c(0.071858225, 0.0020442, 0.01736605,0.0259565, 0.025441275),
Stress = c(90.4766041042011, 60.701740404307, 70.0774864366534, 76.21702132901, 75.9110679987475),
Instrumentation = structure(c(1L, 1L, 1L, 1L, 1L), .Label = "LVDT", class = "factor"),
Bar = structure(c(1L, 1L, 1L, 1L, 1L), .Label = "Unspliced", class = "factor"),
ANIM = c(0.07,0, 0.02, 0.03, 0.03)), class = "data.frame", row.names = c(NA, -5L))
Plot.Spliced_LVDT <-
structure(list(Strain = c(0.0238954832535885, 0.00040463157894736,
0.0158640956937799, 0.0224346507177033, 0.00269568421052631),
Stress = c(85.3207044456991, 14.881393139828, 79.7864191978379,
84.4980682215488, 56.6941352672259),
Instrumentation = structure(c(1L, 1L, 1L, 1L, 1L), .Label = "LVDT", class = "factor"),
Bar = structure(c(1L, 1L, 1L, 1L, 1L), .Label = "Spliced", class = "factor"),
ANIM = c(0.02, 0, 0.02, 0.02, 0)), class = "data.frame", row.names = c(NA, -5L))
plotData <- rbind(Plot.Spliced_DIC, Plot.Unspliced_DIC, Plot.Unspliced_LVDT, Plot.Spliced_LVDT)
plotData <- plotData %>% accumulate_by(~ANIM)
lastFrame <- with(plotData, plotData[frame == max(frame),])
lastFrame$frame <- -1
plotData <- rbind(lastFrame, plotData) # prepend last frame to show all complete traces in the beginning
plot <- ggplot(plotData) + aes(x = Strain, y = Stress, colour = Instrumentation, linetype = Bar, frame = frame) +
scale_color_manual(values = c("DIC"="red", "LVDT"="blue")) + geom_line(size = 0.8) + theme_classic() +
labs(x = "Strain (in/in)", y = "Stress (ksi)") +
theme_classic() + theme(axis.text = element_text(color = "black", size = 16),
axis.line = element_line(color = "black", size = 0.2), axis.ticks.y = element_line(color = "black", size = 0.2),
axis.title.y = element_text(color = "black", size = 20, margin = margin(0,40,0,0)),
axis.title.x = element_text(color = "black", size = 20, margin = margin(35,0,0,0)),
legend.title = element_blank(), legend.text = element_text(color = "black", size = 16))
ggplotly(
p = ggplot2::last_plot(),
width = NULL,
height = NULL,
# tooltip = c("Strain","Stress","Instrumentation","Bar"), # bug?
# tooltip = c("x","y","colour","linetype"), # bug?
dynamicTicks = FALSE,
layerData = 1,
originalData = TRUE) %>%
animation_opts(frame = 300, transition = 0, easing = "linear", redraw = TRUE) %>%
layout(yaxis = list(title = list(text = "Stress (ksi)", standoff = 30L), spikesides = TRUE,spikethickness = 1),
xaxis = list(title = list(text = "Strain (in/in)",standoff = 30L), spikesides = TRUE,spikethickness = 1),
legend = list(orientation = "v", x = 0.7, y = 0.13)) %>%
animation_slider(hide = TRUE)
library（plotly）
图书馆（dplyr）
通过积累\u上述方法有两个问题：
使用rbind
在动画中使用tooltip
参数时，似乎有一个bug（痕迹正在消失-因此我将其注释掉）
请检查以下内容：
library(plotly)
library(dplyr)
accumulate_by <- function(dat, var) {
var <- lazyeval::f_eval(var, dat)
lvls <- plotly:::getLevels(var)
dats <- lapply(seq_along(lvls), function(x) {
cbind(dat[var %in% lvls[seq(1, x)], ], frame = lvls[[x]])
})
dplyr::bind_rows(dats)
}
Plot.Spliced_DIC <-
structure(list(Strain = c(0.00635239, 0.00646411, 0.00304078, 0.00104394, 0.00138191),
Stress = c(64.9199586945409, 65.0674673934705, 60.7649363239015, 26.5627079525764, 39.4159208404832),
Instrumentation = structure(c(1L, 1L, 1L, 1L, 1L), .Label = "DIC", class = "factor"),
Bar = structure(c(1L, 1L, 1L, 1L, 1L), .Label = "Spliced", class = "factor"),
ANIM = c(0.01, 0.01, 0, 0, 0)), class = "data.frame", row.names = c(NA, -5L))
Plot.Unspliced_DIC <-
structure(list(Strain = c(7.66444e-05, 0.112481, 6.7294e-05, 0.00275991, 0.0600871),
Stress = c(0.00344797841982851, 92.8897366602444, 0.522824377824084, 64.3513766859271, 88.2700702030104),
Instrumentation = structure(c(1L, 1L, 1L, 1L, 1L), .Label = "DIC", class = "factor"),
Bar = structure(c(1L, 1L, 1L, 1L, 1L), .Label = "Unspliced", class = "factor"),
ANIM = c(0, 0.11, 0, 0, 0.06)), class = "data.frame", row.names = c(NA, -5L))
Plot.Unspliced_LVDT <-
structure(list(Strain = c(0.071858225, 0.0020442, 0.01736605,0.0259565, 0.025441275),
Stress = c(90.4766041042011, 60.701740404307, 70.0774864366534, 76.21702132901, 75.9110679987475),
Instrumentation = structure(c(1L, 1L, 1L, 1L, 1L), .Label = "LVDT", class = "factor"),
Bar = structure(c(1L, 1L, 1L, 1L, 1L), .Label = "Unspliced", class = "factor"),
ANIM = c(0.07,0, 0.02, 0.03, 0.03)), class = "data.frame", row.names = c(NA, -5L))
Plot.Spliced_LVDT <-
structure(list(Strain = c(0.0238954832535885, 0.00040463157894736,
0.0158640956937799, 0.0224346507177033, 0.00269568421052631),
Stress = c(85.3207044456991, 14.881393139828, 79.7864191978379,
84.4980682215488, 56.6941352672259),
Instrumentation = structure(c(1L, 1L, 1L, 1L, 1L), .Label = "LVDT", class = "factor"),
Bar = structure(c(1L, 1L, 1L, 1L, 1L), .Label = "Spliced", class = "factor"),
ANIM = c(0.02, 0, 0.02, 0.02, 0)), class = "data.frame", row.names = c(NA, -5L))
plotData <- rbind(Plot.Spliced_DIC, Plot.Unspliced_DIC, Plot.Unspliced_LVDT, Plot.Spliced_LVDT)
plotData <- plotData %>% accumulate_by(~ANIM)
lastFrame <- with(plotData, plotData[frame == max(frame),])
lastFrame$frame <- -1
plotData <- rbind(lastFrame, plotData) # prepend last frame to show all complete traces in the beginning
plot <- ggplot(plotData) + aes(x = Strain, y = Stress, colour = Instrumentation, linetype = Bar, frame = frame) +
scale_color_manual(values = c("DIC"="red", "LVDT"="blue")) + geom_line(size = 0.8) + theme_classic() +
labs(x = "Strain (in/in)", y = "Stress (ksi)") +
theme_classic() + theme(axis.text = element_text(color = "black", size = 16),
axis.line = element_line(color = "black", size = 0.2), axis.ticks.y = element_line(color = "black", size = 0.2),
axis.title.y = element_text(color = "black", size = 20, margin = margin(0,40,0,0)),
axis.title.x = element_text(color = "black", size = 20, margin = margin(35,0,0,0)),
legend.title = element_blank(), legend.text = element_text(color = "black", size = 16))
ggplotly(
p = ggplot2::last_plot(),
width = NULL,
height = NULL,
# tooltip = c("Strain","Stress","Instrumentation","Bar"), # bug?
# tooltip = c("x","y","colour","linetype"), # bug?
dynamicTicks = FALSE,
layerData = 1,
originalData = TRUE) %>%
animation_opts(frame = 300, transition = 0, easing = "linear", redraw = TRUE) %>%
layout(yaxis = list(title = list(text = "Stress (ksi)", standoff = 30L), spikesides = TRUE,spikethickness = 1),
xaxis = list(title = list(text = "Strain (in/in)",standoff = 30L), spikesides = TRUE,spikethickness = 1),
legend = list(orientation = "v", x = 0.7, y = 0.13)) %>%
animation_slider(hide = TRUE)
library（plotly）
图书馆（dplyr）
您是否试图创建一个？@ismirsehegalyes@ismirsehregal如果你看看我刚才的编辑，我已经有了accumulate\u by
功能，您能为我们提供初始数据集吗？@ismirsehegal刚刚编辑以显示原始数据您是否正在尝试创建？@ismirsehegalyes@ismirsehregal如果你看看我刚才的编辑，我已经有了accumulate\u by
功能，您能给我们提供初始数据集吗？@ismirsehegal刚刚编辑以显示原始数据谢谢！工具提示错误是因为我们没有框架作为输入之一。如果更改为tooltip=c（“应变”、“应力”、“仪器”、“杆”、“框架”），
它运行时没有问题我认为您不希望工具提示中出现框架。将其添加到定义中会导致与根本不指定工具提示参数相同的行为。不过，很好，它为你工作！非常感谢。工具提示错误是因为我们没有框架作为输入之一。如果更改为tooltip=c（“应变”、“应力”、“仪器”、“杆”、“框架”），
它运行时没有问题我认为您不希望工具提示中出现框架。将其添加到定义中会导致与根本不指定工具提示参数相同的行为。不过，很好，它为你工作！
library(plotly)
library(dplyr)
accumulate_by <- function(dat, var) {
var <- lazyeval::f_eval(var, dat)
lvls <- plotly:::getLevels(var)
dats <- lapply(seq_along(lvls), function(x) {
cbind(dat[var %in% lvls[seq(1, x)], ], frame = lvls[[x]])
})
dplyr::bind_rows(dats)
}
Plot.Spliced_DIC <-
structure(list(Strain = c(0.00635239, 0.00646411, 0.00304078, 0.00104394, 0.00138191),
Stress = c(64.9199586945409, 65.0674673934705, 60.7649363239015, 26.5627079525764, 39.4159208404832),
Instrumentation = structure(c(1L, 1L, 1L, 1L, 1L), .Label = "DIC", class = "factor"),
Bar = structure(c(1L, 1L, 1L, 1L, 1L), .Label = "Spliced", class = "factor"),
ANIM = c(0.01, 0.01, 0, 0, 0)), class = "data.frame", row.names = c(NA, -5L))
Plot.Unspliced_DIC <-
structure(list(Strain = c(7.66444e-05, 0.112481, 6.7294e-05, 0.00275991, 0.0600871),
Stress = c(0.00344797841982851, 92.8897366602444, 0.522824377824084, 64.3513766859271, 88.2700702030104),
Instrumentation = structure(c(1L, 1L, 1L, 1L, 1L), .Label = "DIC", class = "factor"),
Bar = structure(c(1L, 1L, 1L, 1L, 1L), .Label = "Unspliced", class = "factor"),
ANIM = c(0, 0.11, 0, 0, 0.06)), class = "data.frame", row.names = c(NA, -5L))
Plot.Unspliced_LVDT <-
structure(list(Strain = c(0.071858225, 0.0020442, 0.01736605,0.0259565, 0.025441275),
Stress = c(90.4766041042011, 60.701740404307, 70.0774864366534, 76.21702132901, 75.9110679987475),
Instrumentation = structure(c(1L, 1L, 1L, 1L, 1L), .Label = "LVDT", class = "factor"),
Bar = structure(c(1L, 1L, 1L, 1L, 1L), .Label = "Unspliced", class = "factor"),
ANIM = c(0.07,0, 0.02, 0.03, 0.03)), class = "data.frame", row.names = c(NA, -5L))
Plot.Spliced_LVDT <-
structure(list(Strain = c(0.0238954832535885, 0.00040463157894736,
0.0158640956937799, 0.0224346507177033, 0.00269568421052631),
Stress = c(85.3207044456991, 14.881393139828, 79.7864191978379,
84.4980682215488, 56.6941352672259),
Instrumentation = structure(c(1L, 1L, 1L, 1L, 1L), .Label = "LVDT", class = "factor"),
Bar = structure(c(1L, 1L, 1L, 1L, 1L), .Label = "Spliced", class = "factor"),
ANIM = c(0.02, 0, 0.02, 0.02, 0)), class = "data.frame", row.names = c(NA, -5L))
plotData <- rbind(Plot.Spliced_DIC, Plot.Unspliced_DIC, Plot.Unspliced_LVDT, Plot.Spliced_LVDT)
plotData <- plotData %>% accumulate_by(~ANIM)
lastFrame <- with(plotData, plotData[frame == max(frame),])
lastFrame$frame <- -1
plotData <- rbind(lastFrame, plotData) # prepend last frame to show all complete traces in the beginning
plot <- ggplot(plotData) + aes(x = Strain, y = Stress, colour = Instrumentation, linetype = Bar, frame = frame) +
scale_color_manual(values = c("DIC"="red", "LVDT"="blue")) + geom_line(size = 0.8) + theme_classic() +
labs(x = "Strain (in/in)", y = "Stress (ksi)") +
theme_classic() + theme(axis.text = element_text(color = "black", size = 16),
axis.line = element_line(color = "black", size = 0.2), axis.ticks.y = element_line(color = "black", size = 0.2),
axis.title.y = element_text(color = "black", size = 20, margin = margin(0,40,0,0)),
axis.title.x = element_text(color = "black", size = 20, margin = margin(35,0,0,0)),
legend.title = element_blank(), legend.text = element_text(color = "black", size = 16))
ggplotly(
p = ggplot2::last_plot(),
width = NULL,
height = NULL,
# tooltip = c("Strain","Stress","Instrumentation","Bar"), # bug?
# tooltip = c("x","y","colour","linetype"), # bug?
dynamicTicks = FALSE,
layerData = 1,
originalData = TRUE) %>%
animation_opts(frame = 300, transition = 0, easing = "linear", redraw = TRUE) %>%
layout(yaxis = list(title = list(text = "Stress (ksi)", standoff = 30L), spikesides = TRUE,spikethickness = 1),
xaxis = list(title = list(text = "Strain (in/in)",standoff = 30L), spikesides = TRUE,spikethickness = 1),
legend = list(orientation = "v", x = 0.7, y = 0.13)) %>%
animation_slider(hide = TRUE)