使用 transition_time 随着时间的推移 gganimate，其中时间变量是 NBA 比赛时钟
gganimate over time using transition_time where time variable is NBA game clock
我正在尝试在单场 NBA 比赛中制作球员和篮球运动的动画。在 NBA 中，比赛时钟从 12 分钟开始，然后减少到 11:59minutes、11:58、11:57minutes 等。因此，一次控球的数据集有一个 game_clock 变量从 718.80 秒（11.98 分钟）开始。这是我到目前为止所做的：
gganimate代码：
first_poss_so <- read_csv("https://raw.githubusercontent.com/jasonbaik94/Whosebug-data/master/first_poss_so.csv")
fullcourt() +
geom_point(data = first_poss_so, aes(x = h1_x, y = h1_y, group = possID), size=3, color = "blue") +
geom_point(data = first_poss_so, aes(x = h2_x, y = h2_y, group = possID), size=3, color = "blue") +
geom_point(data = first_poss_so, aes(x = h3_x, y = h3_y, group = possID), size=3, color = "blue") +
geom_point(data = first_poss_so, aes(x = h4_x, y = h4_y, group = possID), size=3, color = "blue") +
geom_point(data = first_poss_so, aes(x = h5_x, y = h5_y, group = possID), size=3, color = "blue") +
geom_point(data = first_poss_so, aes(x = a1_x, y = a1_y, group = possID), size=3, color = "red") +
geom_point(data = first_poss_so, aes(x = a2_x, y = a2_y, group = possID), size=3, color = "red") +
geom_point(data = first_poss_so, aes(x = a3_x, y = a3_y, group = possID), size=3, color = "red") +
geom_point(data = first_poss_so, aes(x = a4_x, y = a4_y, group = possID), size=3, color = "red") +
geom_point(data = first_poss_so, aes(x = a5_x, y = a5_y, group = possID), size=3, color = "red") +
geom_point(data = first_poss_so, aes(x = x, y = y, group = possID), size=3, color = "gold") +
transition_time(time = game_clock)
这里是full_court()
library(ggplot2)
fullcourt <- function () {
palette(c("#E41A1C", "#377EB8", "#4DAF4A", "#984EA3",
"#FF7F00", "#FFFF33", "#A65628", "#F781BF", "#999999"))
#Generate Data for the 3 point line
# Define the circle; add a point at the center if the 'pie slice' if the shape is to be filled
circleFun <- function(center=c(0,5.25), diameter=20.9, npoints=20000, start=0, end=1, filled=TRUE){
tt <- seq(start*pi, end*pi, length.out=npoints)
df <- data.frame(
y = center[1] + diameter / 2 * cos(tt),
x = center[2] + diameter / 2 * sin(tt)
)
return(df)
}
halfCircle <- circleFun(c(0, 5.25), 20.9*2, start=0, end=1, filled=FALSE)
ggplot(data=data.frame(y=1,x=1),aes(x,y))+
###halfcourt line:
geom_path(data=data.frame(x=c(47,47),y=c(0,50)))+
###outside boy:
geom_path(data=data.frame(y=c(0,0,50,50,0),x=c(0,94,94,0,0)))+
###solid FT semicircle above FT line:
geom_path(data=data.frame(y=c((-6000:(-1)/1000)+25,(1:6000/1000)+25),x=c(19+sqrt(6^2-c(-6000:(-1)/1000,1:6000/1000)^2))),aes(y=y,x=x))+
geom_path(data=data.frame(y=c((-6000:(-1)/1000)+25,(1:6000/1000)+25),x=c(75+sqrt(6^2-c(-6000:(-1)/1000,1:6000/1000)^2))),aes(y=y,x=x))+
###dashed FT semicircle below FT line:
geom_path(data=data.frame(y=c((-6000:(-1)/1000)+25,(1:6000/1000)+25),x=c(19-sqrt(6^2-c(-6000:(-1)/1000,1:6000/1000)^2))),aes(y=y,x=x),linetype='dashed')+
geom_path(data=data.frame(y=c((-6000:(-1)/1000)+25,(1:6000/1000)+25),x=c(75-sqrt(6^2-c(-6000:(-1)/1000,1:6000/1000)^2))),aes(y=y,x=x),linetype='dashed')+
###kex:
geom_path(data=data.frame(y=c(17,17,33,33,17),x=c(0,19,19,0,0)))+
geom_path(data=data.frame(y=c(17,17,33,33,17),x=c(94,75,75,94,94)))+
###boy inside the kex:
geom_path(data=data.frame(y=c(19,19,31,31,19),x=c(0,19,19,0,0)))+
geom_path(data=data.frame(y=c(19,19,31,31,19),x=c(94,75,75,94,94)))+
###restricted area semicircle:
geom_path(data=data.frame(y=c((-4000:(-1)/1000)+25,(1:4000/1000)+25),x=c(5.25+sqrt(4^2-c(-4000:(-1)/1000,1:4000/1000)^2))),aes(y=y,x=x))+
geom_path(data=data.frame(y=c((-4000:(-1)/1000)+25,(1:4000/1000)+25),x=c(88.75-sqrt(4^2-c(-4000:(-1)/1000,1:4000/1000)^2))),aes(y=y,x=x))+
###halfcourt semicircle:
geom_path(data=data.frame(y=c((-6000:(-1)/1000)+25,(1:6000/1000)+25),x=c(47-sqrt(6^2-c(-6000:(-1)/1000,1:6000/1000)^2))),aes(y=y,x=x))+
geom_path(data=data.frame(y=c((-6000:(-1)/1000)+25,(1:6000/1000)+25),x=c(47+sqrt(6^2-c(-6000:(-1)/1000,1:6000/1000)^2))),aes(y=y,x=x))+
###rim:
geom_path(data=data.frame(y=c((-750:(-1)/1000)+25,(1:750/1000)+25,(750:1/1000)+25,(-1:-750/1000)+25),x=c(c(5.25+sqrt(0.75^2-c(-750:(-1)/1000,1:750/1000)^2)),c(5.25-sqrt(0.75^2-c(750:1/1000,-1:-750/1000)^2)))),aes(y=y,x=x))+
geom_path(data=data.frame(y=c((-750:(-1)/1000)+25,(1:750/1000)+25,(750:1/1000)+25,(-1:-750/1000)+25),x=c(c(88.75+sqrt(0.75^2-c(-750:(-1)/1000,1:750/1000)^2)),c(88.75-sqrt(0.75^2-c(750:1/1000,-1:-750/1000)^2)))),aes(y=y,x=x))+
###backboard:
geom_path(data=data.frame(y=c(22,28),x=c(4,4)),lineend='butt')+
geom_path(data=data.frame(y=c(22,28),x=c(90,90)),lineend='butt')+
###three-point line:
# geom_path(data=data.frame(y=c(-21,-21,-21000:(-1)/1000,1:21000/1000,21,21),x=c(0,169/12,5.25+sqrt(23.75^2-c(-21000:(-1)/1000,1:21000/1000)^2),169/12,0)),aes(y=y,x=x))+
###fiy aspect ratio to 1:1
geom_path(data=halfCircle,aes(x=x,y=y+25))+
###Complete the three-point line
geom_path(data=data.frame(y=c(4.1,4.1,45.9,45.9),x=c(5.25,0,0,5.25)))+
geom_path(data=halfCircle,aes(x=94-x,y=y+25))+
geom_path(data=data.frame(y=c(4.1,4.1,45.9,45.9),x=c(88.75,94,94,88.75)))+
coord_fixed()+
###Clean up the Court
theme_bw()+theme(panel.grid=element_blank(), legend.title=element_blank(), panel.border=element_blank(),axis.text=element_blank(),axis.ticks=element_blank(),axis.title=element_blank(),legend.position="top")}
我的 gganimate 代码的问题是 transition_time 向后呈现播放...因为 game_clock 从大约 12 分钟开始并减少。当然，我可以从 game_clock 中减去 12 分钟，但这会阻止我使用 game_clock 作为合理的标签：ggtitle("Game Clock: {frame_time}")
基本上，我怎样才能 transition_time 以递减顺序渲染时间？ (从12分钟开始到0分钟结束)
（作为惯例，我不会下载我不知道的外部链接数据，所以我将使用标准数据的方法来回答。）
这应该可以通过反转 transition_time 变量上的符号，并再次反转标题中的符号来实现，如下所示：
library(gapminder)
library(gganimate)
library(dplyr)
a <- gapminder %>%
ggplot(aes(gdpPercap, lifeExp, color = continent, group = country)) +
geom_point() +
transition_time(-year) +
labs(title = "Year: {-frame_time}")
animate(a, nframes = 50, duration = 5)
我正在尝试在单场 NBA 比赛中制作球员和篮球运动的动画。在 NBA 中，比赛时钟从 12 分钟开始，然后减少到 11:59minutes、11:58、11:57minutes 等。因此，一次控球的数据集有一个 game_clock 变量从 718.80 秒（11.98 分钟）开始。这是我到目前为止所做的：
gganimate代码：
first_poss_so <- read_csv("https://raw.githubusercontent.com/jasonbaik94/Whosebug-data/master/first_poss_so.csv")
fullcourt() +
geom_point(data = first_poss_so, aes(x = h1_x, y = h1_y, group = possID), size=3, color = "blue") +
geom_point(data = first_poss_so, aes(x = h2_x, y = h2_y, group = possID), size=3, color = "blue") +
geom_point(data = first_poss_so, aes(x = h3_x, y = h3_y, group = possID), size=3, color = "blue") +
geom_point(data = first_poss_so, aes(x = h4_x, y = h4_y, group = possID), size=3, color = "blue") +
geom_point(data = first_poss_so, aes(x = h5_x, y = h5_y, group = possID), size=3, color = "blue") +
geom_point(data = first_poss_so, aes(x = a1_x, y = a1_y, group = possID), size=3, color = "red") +
geom_point(data = first_poss_so, aes(x = a2_x, y = a2_y, group = possID), size=3, color = "red") +
geom_point(data = first_poss_so, aes(x = a3_x, y = a3_y, group = possID), size=3, color = "red") +
geom_point(data = first_poss_so, aes(x = a4_x, y = a4_y, group = possID), size=3, color = "red") +
geom_point(data = first_poss_so, aes(x = a5_x, y = a5_y, group = possID), size=3, color = "red") +
geom_point(data = first_poss_so, aes(x = x, y = y, group = possID), size=3, color = "gold") +
transition_time(time = game_clock)
这里是full_court()
library(ggplot2)
fullcourt <- function () {
palette(c("#E41A1C", "#377EB8", "#4DAF4A", "#984EA3",
"#FF7F00", "#FFFF33", "#A65628", "#F781BF", "#999999"))
#Generate Data for the 3 point line
# Define the circle; add a point at the center if the 'pie slice' if the shape is to be filled
circleFun <- function(center=c(0,5.25), diameter=20.9, npoints=20000, start=0, end=1, filled=TRUE){
tt <- seq(start*pi, end*pi, length.out=npoints)
df <- data.frame(
y = center[1] + diameter / 2 * cos(tt),
x = center[2] + diameter / 2 * sin(tt)
)
return(df)
}
halfCircle <- circleFun(c(0, 5.25), 20.9*2, start=0, end=1, filled=FALSE)
ggplot(data=data.frame(y=1,x=1),aes(x,y))+
###halfcourt line:
geom_path(data=data.frame(x=c(47,47),y=c(0,50)))+
###outside boy:
geom_path(data=data.frame(y=c(0,0,50,50,0),x=c(0,94,94,0,0)))+
###solid FT semicircle above FT line:
geom_path(data=data.frame(y=c((-6000:(-1)/1000)+25,(1:6000/1000)+25),x=c(19+sqrt(6^2-c(-6000:(-1)/1000,1:6000/1000)^2))),aes(y=y,x=x))+
geom_path(data=data.frame(y=c((-6000:(-1)/1000)+25,(1:6000/1000)+25),x=c(75+sqrt(6^2-c(-6000:(-1)/1000,1:6000/1000)^2))),aes(y=y,x=x))+
###dashed FT semicircle below FT line:
geom_path(data=data.frame(y=c((-6000:(-1)/1000)+25,(1:6000/1000)+25),x=c(19-sqrt(6^2-c(-6000:(-1)/1000,1:6000/1000)^2))),aes(y=y,x=x),linetype='dashed')+
geom_path(data=data.frame(y=c((-6000:(-1)/1000)+25,(1:6000/1000)+25),x=c(75-sqrt(6^2-c(-6000:(-1)/1000,1:6000/1000)^2))),aes(y=y,x=x),linetype='dashed')+
###kex:
geom_path(data=data.frame(y=c(17,17,33,33,17),x=c(0,19,19,0,0)))+
geom_path(data=data.frame(y=c(17,17,33,33,17),x=c(94,75,75,94,94)))+
###boy inside the kex:
geom_path(data=data.frame(y=c(19,19,31,31,19),x=c(0,19,19,0,0)))+
geom_path(data=data.frame(y=c(19,19,31,31,19),x=c(94,75,75,94,94)))+
###restricted area semicircle:
geom_path(data=data.frame(y=c((-4000:(-1)/1000)+25,(1:4000/1000)+25),x=c(5.25+sqrt(4^2-c(-4000:(-1)/1000,1:4000/1000)^2))),aes(y=y,x=x))+
geom_path(data=data.frame(y=c((-4000:(-1)/1000)+25,(1:4000/1000)+25),x=c(88.75-sqrt(4^2-c(-4000:(-1)/1000,1:4000/1000)^2))),aes(y=y,x=x))+
###halfcourt semicircle:
geom_path(data=data.frame(y=c((-6000:(-1)/1000)+25,(1:6000/1000)+25),x=c(47-sqrt(6^2-c(-6000:(-1)/1000,1:6000/1000)^2))),aes(y=y,x=x))+
geom_path(data=data.frame(y=c((-6000:(-1)/1000)+25,(1:6000/1000)+25),x=c(47+sqrt(6^2-c(-6000:(-1)/1000,1:6000/1000)^2))),aes(y=y,x=x))+
###rim:
geom_path(data=data.frame(y=c((-750:(-1)/1000)+25,(1:750/1000)+25,(750:1/1000)+25,(-1:-750/1000)+25),x=c(c(5.25+sqrt(0.75^2-c(-750:(-1)/1000,1:750/1000)^2)),c(5.25-sqrt(0.75^2-c(750:1/1000,-1:-750/1000)^2)))),aes(y=y,x=x))+
geom_path(data=data.frame(y=c((-750:(-1)/1000)+25,(1:750/1000)+25,(750:1/1000)+25,(-1:-750/1000)+25),x=c(c(88.75+sqrt(0.75^2-c(-750:(-1)/1000,1:750/1000)^2)),c(88.75-sqrt(0.75^2-c(750:1/1000,-1:-750/1000)^2)))),aes(y=y,x=x))+
###backboard:
geom_path(data=data.frame(y=c(22,28),x=c(4,4)),lineend='butt')+
geom_path(data=data.frame(y=c(22,28),x=c(90,90)),lineend='butt')+
###three-point line:
# geom_path(data=data.frame(y=c(-21,-21,-21000:(-1)/1000,1:21000/1000,21,21),x=c(0,169/12,5.25+sqrt(23.75^2-c(-21000:(-1)/1000,1:21000/1000)^2),169/12,0)),aes(y=y,x=x))+
###fiy aspect ratio to 1:1
geom_path(data=halfCircle,aes(x=x,y=y+25))+
###Complete the three-point line
geom_path(data=data.frame(y=c(4.1,4.1,45.9,45.9),x=c(5.25,0,0,5.25)))+
geom_path(data=halfCircle,aes(x=94-x,y=y+25))+
geom_path(data=data.frame(y=c(4.1,4.1,45.9,45.9),x=c(88.75,94,94,88.75)))+
coord_fixed()+
###Clean up the Court
theme_bw()+theme(panel.grid=element_blank(), legend.title=element_blank(), panel.border=element_blank(),axis.text=element_blank(),axis.ticks=element_blank(),axis.title=element_blank(),legend.position="top")}
我的 gganimate 代码的问题是 transition_time 向后呈现播放...因为 game_clock 从大约 12 分钟开始并减少。当然，我可以从 game_clock 中减去 12 分钟，但这会阻止我使用 game_clock 作为合理的标签：ggtitle("Game Clock: {frame_time}")
基本上，我怎样才能 transition_time 以递减顺序渲染时间？ (从12分钟开始到0分钟结束)
（作为惯例，我不会下载我不知道的外部链接数据，所以我将使用标准数据的方法来回答。）
这应该可以通过反转 transition_time 变量上的符号，并再次反转标题中的符号来实现，如下所示：
library(gapminder)
library(gganimate)
library(dplyr)
a <- gapminder %>%
ggplot(aes(gdpPercap, lifeExp, color = continent, group = country)) +
geom_point() +
transition_time(-year) +
labs(title = "Year: {-frame_time}")
animate(a, nframes = 50, duration = 5)
