在ggplot/gganimate中控制geom_point和geom_text的颜色

我在控制geom_points和geom_text的颜色时遇到了一些麻烦。我希望我的观点可以通过“团队”呈现颜色（这与我在scale_colour_manual中指定的颜色一起工作），但是随后我想根据“团队”为我的文本着色......所以其中一个标签是白色的，其他黑色。在ggplot/gganimate中控制geom_point和geom_text的颜色

我已经搜索了一个解决方案，但似乎无法得到它的权利 - 任何提示或答案将不胜感激。

library(gganimate) 
library(ggplot2) 

DB_2 <- read.csv("Player Test.csv") 

DataX <- DB_2[ which(DB_2$Time_UpD > 700 & DB_2$Time_UpD < 750 & DB_2$Player != 'P.Joao'), ] 

p <- ggplot(DataX, aes(x=DataX$X_Location, y=DataX$Y_Location, frame = DataX$Time_Up, color=DataX$Team)) + 
    theme(panel.background = element_rect(fill = "#359935",), legend.position="none", panel.grid.major = element_blank(), panel.grid.minor = element_blank(),axis.text.x = element_blank(), axis.text.y = element_blank(), axis.ticks = element_blank(),axis.title.x=element_blank(),axis.title.y=element_blank()) + 
    # **** Start of Pitch 
    # Top Half 
    geom_rect(xmin = -330, xmax = 330, ymin = 0, ymax = 515, color = "white", alpha=0, size=0.1) + 
    # Bottom Half 
    geom_rect(xmin = -330, xmax = 330, ymin = -515, ymax = 0, color = "white", alpha=0, size=0.1) + 
    # Top 6 Yard 
    geom_rect(xmin = -75, xmax = 75, ymin = 480, ymax = 515, color = "white", alpha=0, size=0.1) + 
    # Bottom 6 Yard 
    geom_rect(xmin = -75, xmax = 75, ymin = -515, ymax = -480, color = "white", alpha=0, size=0.1) + 
    # Top 18 Yard 
    geom_rect(xmin = -180, xmax = 180, ymin = 360, ymax = 515, color = "white", alpha=0, size=0.1) + 
    # Bottom 18 Yard 
    geom_rect(xmin = -180, xmax = 180, ymin = -515, ymax = -360, color = "white", alpha=0, size=0.1) + 
    # **** End of Pitch 
    geom_point(shape=16, size=5) + 
    xlim(-400,400) + ylim(-540,540) + 
    scale_color_manual(values=c("#ffff00", "#86cdea")) + 
    geom_text(aes(label=DataX$Position),hjust="middle", vjust="center", size=2) 

gg_animate(p, interval = .1, "output.mp4")

一些数据X输出：

structure(list(Player = structure(c(3L, 3L, 3L, 3L, 3L, 3L, 3L, 
3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 2L, 2L, 2L, 2L, 2L, 
2L, 2L, 2L, 2L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 17L, 17L, 
17L, 17L, 17L, 17L, 17L, 17L, 17L, 16L, 16L, 16L, 16L, 16L, 16L, 
16L, 16L, 16L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 23L, 
23L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 15L, 15L, 15L, 15L, 15L, 
15L, 15L, 15L, 15L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 
10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 24L, 24L, 24L, 24L, 
24L, 24L, 24L, 24L, 24L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 
18L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 7L, 7L, 7L, 7L, 7L, 
7L, 7L, 7L, 7L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 
5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 22L, 22L, 22L, 22L, 22L, 
22L, 22L, 22L, 22L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 
6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 12L, 12L, 12L, 12L, 12L, 
12L, 12L, 12L, 12L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L 
), .Label = c("", "A.Guira", "A.Hjulsager", "D.Agger", "D.Boysen", 
"F.Dickoh", "F.Holst", "F.R\xbfnnow", "J.Absalonsen", "J.Drachmann", 
"J.Larsson", "K.Wilczek", "L.Phiri", "M.Albrechtsen", "M.DelHande", 
"M.Pedersen", "M.Skender", "N.Madsen", "P.Joao", "P.Kanstrup", 
"R.Austin", "R.Durmisi", "S.Kroon", "T.Bechmann"), class = "factor"), 
    Time_UpD = c(701L, 702L, 703L, 704L, 705L, 706L, 707L, 708L, 
    709L, 701L, 702L, 703L, 704L, 705L, 706L, 707L, 708L, 709L, 
    701L, 702L, 703L, 704L, 705L, 706L, 707L, 708L, 709L, 701L, 
    702L, 703L, 704L, 705L, 706L, 707L, 708L, 709L, 701L, 702L, 
    703L, 704L, 705L, 706L, 707L, 708L, 709L, 701L, 702L, 703L, 
    704L, 705L, 706L, 707L, 708L, 709L, 701L, 702L, 703L, 704L, 
    705L, 706L, 707L, 708L, 709L, 701L, 702L, 703L, 704L, 705L, 
    706L, 707L, 708L, 709L, 701L, 702L, 703L, 704L, 705L, 706L, 
    707L, 708L, 709L, 701L, 702L, 703L, 704L, 705L, 706L, 707L, 
    708L, 709L, 701L, 702L, 703L, 704L, 705L, 706L, 707L, 708L, 
    709L, 701L, 702L, 703L, 704L, 705L, 706L, 707L, 708L, 709L, 
    701L, 702L, 703L, 704L, 705L, 706L, 707L, 708L, 709L, 701L, 
    702L, 703L, 704L, 705L, 706L, 707L, 708L, 709L, 701L, 702L, 
    703L, 704L, 705L, 706L, 707L, 708L, 709L, 701L, 702L, 703L, 
    704L, 705L, 706L, 707L, 708L, 709L, 701L, 702L, 703L, 704L, 
    705L, 706L, 707L, 708L, 709L, 701L, 702L, 703L, 704L, 705L, 
    706L, 707L, 708L, 709L, 701L, 702L, 703L, 704L, 705L, 706L, 
    707L, 708L, 709L, 701L, 702L, 703L, 704L, 705L, 706L, 707L, 
    708L, 709L, 701L, 702L, 703L, 704L, 705L, 706L, 707L, 708L, 
    709L, 701L, 702L, 703L, 704L, 705L, 706L, 707L, 708L, 709L 
    ), Y_Location = c(-98L, -97L, -96L, -95L, -95L, -94L, -93L, 
    -92L, -91L, -260L, -262L, -267L, -270L, -272L, -277L, -278L, 
    -282L, -286L, -69L, -72L, -73L, -76L, -79L, -80L, -82L, -83L, 
    -86L, -405L, -402L, -401L, -398L, -396L, -395L, -394L, -394L, 
    -394L, 385L, 385L, 383L, 382L, 381L, 380L, 379L, 378L, 377L, 
    59L, 59L, 58L, 58L, 57L, 57L, 57L, 56L, 56L, -308L, -310L, 
    -313L, -316L, -318L, -320L, -322L, -324L, -327L, -120L, -120L, 
    -120L, -120L, -120L, -120L, -121L, -121L, -121L, -12L, -12L, 
    -11L, -10L, -10L, -9L, -9L, -8L, -7L, -172L, -173L, -175L, 
    -176L, -177L, -179L, -180L, -182L, -184L, -12L, -13L, -14L, 
    -15L, -16L, -17L, -17L, -17L, -18L, -177L, -177L, -178L, 
    -178L, -178L, -178L, -178L, -178L, -178L, -111L, -112L, -113L, 
    -115L, -116L, -117L, -118L, -120L, -122L, -160L, -161L, -163L, 
    -164L, -165L, -166L, -167L, -168L, -169L, 78L, 77L, 76L, 
    74L, 73L, 71L, 70L, 69L, 67L, -253L, -254L, -255L, -256L, 
    -256L, -257L, -257L, -257L, -256L, 13L, 14L, 15L, 16L, 16L, 
    17L, 17L, 18L, 19L, -160L, -159L, -157L, -155L, -154L, -152L, 
    -150L, -148L, -146L, -139L, -139L, -140L, -140L, -140L, -140L, 
    -141L, -141L, -141L, 94L, 94L, 93L, 92L, 92L, 91L, 91L, 90L, 
    89L, 55L, 55L, 54L, 53L, 53L, 53L, 53L, 53L, 52L, 71L, 70L, 
    70L, 69L, 69L, 69L, 68L, 68L, 68L), X_Location = c(66L, 68L, 
    72L, 76L, 79L, 83L, 85L, 89L, 93L, -100L, -102L, -106L, -109L, 
    -111L, -114L, -115L, -117L, -120L, -29L, -26L, -24L, -20L, 
    -16L, -14L, -10L, -8L, -4L, 99L, 104L, 107L, 111L, 114L, 
    115L, 116L, 116L, 115L, -4L, -4L, -3L, -2L, -1L, -1L, 0L, 
    1L, 2L, -172L, -171L, -170L, -169L, -169L, -168L, -167L, 
    -166L, -166L, 71L, 73L, 76L, 80L, 82L, 86L, 88L, 92L, 96L, 
    -198L, -197L, -196L, -194L, -193L, -191L, -190L, -188L, -186L, 
    135L, 136L, 137L, 139L, 140L, 142L, 142L, 144L, 146L, -62L, 
    -61L, -61L, -60L, -60L, -60L, -60L, -59L, -59L, 30L, 32L, 
    34L, 36L, 37L, 39L, 40L, 42L, 43L, 19L, 19L, 20L, 21L, 21L, 
    21L, 21L, 20L, 20L, -65L, -65L, -65L, -65L, -64L, -64L, -64L, 
    -64L, -65L, 150L, 154L, 157L, 160L, 163L, 166L, 169L, 172L, 
    175L, 56L, 56L, 57L, 58L, 58L, 58L, 59L, 59L, 60L, 185L, 
    190L, 192L, 197L, 202L, 205L, 210L, 213L, 218L, -210L, -211L, 
    -211L, -212L, -212L, -213L, -213L, -214L, -214L, -212L, -213L, 
    -215L, -217L, -218L, -220L, -222L, -224L, -227L, 41L, 42L, 
    45L, 47L, 48L, 50L, 51L, 53L, 55L, 42L, 43L, 44L, 46L, 47L, 
    49L, 50L, 52L, 54L, -44L, -43L, -40L, -38L, -37L, -35L, -33L, 
    -31L, -29L, -39L, -37L, -36L, -34L, -32L, -31L, -30L, -29L, 
    -27L), Team = structure(c(2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
    3L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 3L, 3L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
    2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L), .Label = c("", "BIF", 
    "SON"), class = "factor"), SquadNo = c(21L, 21L, 21L, 21L, 
    21L, 21L, 21L, 21L, 21L, 22L, 22L, 22L, 22L, 22L, 22L, 22L, 
    22L, 22L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 1L, 1L, 1L, 
    1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
    3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 5L, 5L, 5L, 5L, 5L, 5L, 
    5L, 5L, 5L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 7L, 7L, 7L, 
    7L, 7L, 7L, 7L, 7L, 7L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 
    8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 9L, 9L, 9L, 9L, 9L, 9L, 
    9L, 9L, 9L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 
    11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 12L, 12L, 12L, 
    12L, 12L, 12L, 12L, 12L, 12L, 13L, 13L, 13L, 13L, 13L, 13L, 
    13L, 13L, 13L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 
    17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 18L, 18L, 18L, 
    18L, 18L, 18L, 18L, 18L, 18L, 20L, 20L, 20L, 20L, 20L, 20L, 
    20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 
    26L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 26L), Position = structure(c(12L, 
    12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 8L, 8L, 8L, 8L, 8L, 
    8L, 8L, 8L, 8L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 6L, 6L, 
    6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 
    6L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 11L, 11L, 
    11L, 11L, 11L, 11L, 11L, 11L, 11L, 12L, 12L, 12L, 12L, 12L, 
    12L, 12L, 12L, 12L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 4L, 
    4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 
    5L, 5L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 2L, 2L, 2L, 2L, 
    2L, 2L, 2L, 2L, 2L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 4L, 
    4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 10L, 10L, 10L, 10L, 10L, 
    10L, 10L, 10L, 10L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 7L, 
    7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 
    4L, 4L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 3L, 3L, 3L, 3L, 
    3L, 3L, 3L, 3L, 3L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 
    11L), .Label = c("", "AM", "CF", "CM", "DM", "GK", "LB", 
    "LD", "LW", "RB", "RD", "RW"), class = "factor"), X = c(NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA), X.1 = c(NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA), X.2 = c(NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, 701L, 702L, 703L, 704L, 705L, 706L, 707L, 
    708L, 709L, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA), X.3 = c(NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    -260L, -262L, -267L, -270L, -272L, -277L, -278L, -282L, -286L, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA 
    ), X.4 = c(NA, NA, NA, NA, NA, NA, NA, NA, NA, -100L, -102L, 
    -106L, -109L, -111L, -114L, -115L, -117L, -120L, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
    NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, 
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"Time_UpD", "Y_Location", "X_Location", "Team", "SquadNo", "Position", 
"X", "X.1", "X.2", "X.3", "X.4"), row.names = c(702L, 703L, 704L, 
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), class = "data.frame")

来源

2016-06-08 DenJJ

你能否用你的“Player Test.csv”或更好的输入（DB_2）更新你的问题？ – Nate

@NathanDay - 有帮助吗？ – DenJJ

不知道这是可以接受的输出，但我认为它仍然讲述你的故事：

ggplot(DataX, aes(x=X_Location, y=Y_Location, frame = Time_UpD, color=Team)) + 
    theme(panel.background = element_rect(fill = "#359935",),  legend.position="none", panel.grid.major = element_blank(), panel.grid.minor = element_blank(),axis.text.x = element_blank(), axis.text.y = element_blank(), axis.ticks = element_blank(),axis.title.x=element_blank(),axis.title.y=element_blank()) + 
# **** Start of Pitch 
# Top Half 
geom_rect(xmin = -330, xmax = 330, ymin = 0, ymax = 515, color = "white", alpha=1, size=0.1) + 
# Bottom Half 
geom_rect(xmin = -330, xmax = 330, ymin = -515, ymax = 0, color = "white", alpha=1, size=0.1) + 
# Top 6 Yard 
geom_rect(xmin = -75, xmax = 75, ymin = 480, ymax = 515, color = "white", alpha=1, size=0.1) + 
# Bottom 6 Yard 
geom_rect(xmin = -75, xmax = 75, ymin = -515, ymax = -480, color = "white", alpha=1, size=0.1) + 
# Top 18 Yard 
geom_rect(xmin = -180, xmax = 180, ymin = 360, ymax = 515, color = "white", alpha=1, size=0.1) + 
# Bottom 18 Yard 
geom_rect(xmin = -180, xmax = 180, ymin = -515, ymax = -360, color = "white", alpha=1, size=0.1) + 
# **** End of Pitch 
#geom_point(shape=16, size=5) + 
xlim(-400,400) + ylim(-540,540) + 
scale_color_manual(values=c("#ffff00", "#86cdea")) + 
geom_point(size = 7) + 
geom_point(color = "white", size = 5) + 
geom_text(aes(label=DataX$Position),hjust="middle", vjust="center", size=2)

是不是真的需要使用geom_point和geom_text/geom_label，因为它们都显示与不同geom相同的坐标。我比较喜欢使用geom_label，因为它比较容易阅读。

此外，您不需要将您的美学定义为'DataX $ abc'，ggplot2已经理解您正在引用'DataX'数据框。

来源

2016-06-08 21:28:17 Nate

DataX $ Position是播放位置“CF”或“GK”的玩家。这会改变你的回应吗？那么geom_label会产生我想要的效果而不必使用geom_point？ – DenJJ

尝试运行上面的代码...我得到这个http://imgur.com/ftI05Wo – Nate

是的，它当然有效，但我的目标是创建一个圆形而不是标签圆角矩形...这是一个解决方案，虽然感谢 – DenJJ

在ggplot/gganimate中控制geom_point和geom_text的颜色

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