我如何使用scale_colour_manual？

时间：2012-03-22 22:26:25

标签： r colors ggplot2

使用scale_colour_manual根据数据框中包含的HEX颜色代码将颜色设置为预定义设置时，有没有人知道任何错误/技巧？

我一直在尝试使用以下代码从我的数据框中提取预定义的颜色代码。 

p <- ggplot(df, aes(x, y, colour=company)) 
p <- p + geom_point()
p <- p + scale_colour_manual(breaks=df$company, values = df$col)
p

但是，由于某些原因，在绘制图表时，不会绘制数据中的颜色（即值= df $ col）。

非常感谢任何协助或指导。下面是我的ggplot结构/数据：

structure(list(data = structure(list(x = c(119, 34, 34, 46, 86, 
70, 61, 71, 84, 30, 84, 85, 3, 16, 5, 167, 72, 85, 5, 44, 85, 
63, 15, 86, 148, 83, 105, 11, 11, 98, 169, 14, 11, 28, 98, 52, 
52, 52, 90, 11, 176, 94, 94, 52, 9, 176, 148, 9, 105, 121, 98, 
2, 28, 9, 148, 43, 148, 170, 146, 40, 61, 40, 98, 9, 5, 3, 45, 
46, 6, 128, 123, 39, 45, 2, 19), y = c(1195.26050420168, 4005.55882352941, 
4102.94117647059, 3670.23913043478, 7705.47674418605, 7373.34285714286, 
4745.40983606557, 5158.43661971831, 7686.20238095238, 7301.43333333333, 
7309.02380952381, 7336.03529411765, 3475.33333333333, 5467.4375, 
5117, 3861.70658682635, 8940.34722222222, 7317.41176470588, 4182.8, 
6301.90909090909, 7272.83529411765, 4670.47619047619, 6489.53333333333, 
7452.24418604651, 7762.66891891892, 7768.5421686747, 5560.00504761905, 
9360.71454545455, 10984.6854545455, 6677.94989795918, 5029.19917159763, 
17012.2242857143, 8613.21818181818, 5632.53571428571, 7572.70642857143, 
12890, 8876.30557692308, 12993.5084615385, 364.15, 10914, 13005.2405113636, 
11607.0582978723, 2946.36404255319, 14684.7426923077, 1783.90444444444, 
11400.6083522727, 4940.83817567568, 1609.11111111111, 7636.22476190476, 
318.785123966942, 8798.37673469388, 459.3, 8735.70928571429, 
1616.36222222222, 6279.4397972973, 1564.2711627907, 5410.90743243243, 
2569.18029411765, 6825.9702739726, 22469.3135, 6288.34426229508, 
22726.2695, 11580.1029591837, 1733.73333333333, 2528.8, 1161.66666666667, 
4126.06666666667, 4024.13043478261, 3336.5, 2928.9375, 2675.44715447154, 
4249.79487179487, 7005.95555555556, 1601, 3982.26315789474), 
    company = c("chief", "chief", "chief", "chief", "CHK", "CHK", 
    "CHK", "CHK", "CHK", "CHK", "CHK", "CHK", "CHK", "CHK", "CHK", 
    "CHK", "CHK", "CHK", "CHK", "CHK", "CHK", "CHK", "CHK", "CHK", 
    "CHK", "CHK", "COG", "COG", "COG", "COG", "COG", "COG", "COG", 
    "COG", "COG", "COG", "COG", "COG", "COG", "COG", "COG", "COG", 
    "COG", "COG", "COG", "COG", "COG", "COG", "COG", "COG", "COG", 
    "COG", "COG", "COG", "COG", "COG", "COG", "COG", "COG", "COG", 
    "COG", "COG", "COG", "COG", "CRZO", "CRZO", "CRZO", "CRZO", 
    "CRZO", "Other", "Other", "WPX", "WPX", "WPX", "WPX"), col = c("#000000", 
    "#000000", "#000000", "#000000", "red", "red", "red", "red", 
    "red", "red", "red", "red", "red", "red", "red", "red", "red", 
    "red", "red", "red", "red", "red", "red", "red", "red", "red", 
    "blue", "blue", "blue", "blue", "blue", "blue", "blue", "blue", 
    "blue", "blue", "blue", "blue", "blue", "blue", "blue", "blue", 
    "blue", "blue", "blue", "blue", "blue", "blue", "blue", "blue", 
    "blue", "blue", "blue", "blue", "blue", "blue", "blue", "blue", 
    "blue", "blue", "blue", "blue", "blue", "blue", "darkgreen", 
    "darkgreen", "darkgreen", "darkgreen", "darkgreen", "#000000", 
    "#000000", "orange", "orange", "orange", "orange")), .Names = c("x", 
"y", "company", "col"), row.names = c(NA, -75L), class = "data.frame"), 
    layers = list(<environment>), scales = <S4 object of class structure("Scales", package = "ggplot2")>, 
    mapping = structure(list(x = quote(x), y = quote(y), colour = quote(company)), .Names = c("x", 
    "y", "colour"), class = "uneval"), options = structure(list(
        labels = structure(list(x = "x", y = "y", colour = "company"), .Names = c("x", 
        "y", "colour"))), .Names = "labels"), coordinates = structure(list(
        limits = structure(list(x = NULL, y = NULL), .Names = c("x", 
        "y")), wise = FALSE), .Names = c("limits", "wise"), class = c("cartesian", 
    "coord")), facet = structure(list(shrink = TRUE), .Names = "shrink", class = c("null", 
    "facet")), plot_env = <environment>), .Names = c("data", 
"layers", "scales", "mapping", "options", "coordinates", "facet", 
"plot_env"), class = "ggplot")

1 个答案:

答案 0 :(得分：10)

将baptiste和joran的评论结合起来，取决于你想要什么。

df <- structure(list(x = c(119, 34, 34, 46, 86, 
70, 61, 71, 84, 30, 84, 85, 3, 16, 5, 167, 72, 85, 5, 44, 85, 
63, 15, 86, 148, 83, 105, 11, 11, 98, 169, 14, 11, 28, 98, 52, 
52, 52, 90, 11, 176, 94, 94, 52, 9, 176, 148, 9, 105, 121, 98, 
2, 28, 9, 148, 43, 148, 170, 146, 40, 61, 40, 98, 9, 5, 3, 45, 
46, 6, 128, 123, 39, 45, 2, 19), y = c(1195.26050420168, 4005.55882352941, 
4102.94117647059, 3670.23913043478, 7705.47674418605, 7373.34285714286, 
4745.40983606557, 5158.43661971831, 7686.20238095238, 7301.43333333333, 
7309.02380952381, 7336.03529411765, 3475.33333333333, 5467.4375, 
5117, 3861.70658682635, 8940.34722222222, 7317.41176470588, 4182.8, 
6301.90909090909, 7272.83529411765, 4670.47619047619, 6489.53333333333, 
7452.24418604651, 7762.66891891892, 7768.5421686747, 5560.00504761905, 
9360.71454545455, 10984.6854545455, 6677.94989795918, 5029.19917159763, 
17012.2242857143, 8613.21818181818, 5632.53571428571, 7572.70642857143, 
12890, 8876.30557692308, 12993.5084615385, 364.15, 10914, 13005.2405113636, 
11607.0582978723, 2946.36404255319, 14684.7426923077, 1783.90444444444, 
11400.6083522727, 4940.83817567568, 1609.11111111111, 7636.22476190476, 
318.785123966942, 8798.37673469388, 459.3, 8735.70928571429, 
1616.36222222222, 6279.4397972973, 1564.2711627907, 5410.90743243243, 
2569.18029411765, 6825.9702739726, 22469.3135, 6288.34426229508, 
22726.2695, 11580.1029591837, 1733.73333333333, 2528.8, 1161.66666666667, 
4126.06666666667, 4024.13043478261, 3336.5, 2928.9375, 2675.44715447154, 
4249.79487179487, 7005.95555555556, 1601, 3982.26315789474), 
    company = c("chief", "chief", "chief", "chief", "CHK", "CHK", 
    "CHK", "CHK", "CHK", "CHK", "CHK", "CHK", "CHK", "CHK", "CHK", 
    "CHK", "CHK", "CHK", "CHK", "CHK", "CHK", "CHK", "CHK", "CHK", 
    "CHK", "CHK", "COG", "COG", "COG", "COG", "COG", "COG", "COG", 
    "COG", "COG", "COG", "COG", "COG", "COG", "COG", "COG", "COG", 
    "COG", "COG", "COG", "COG", "COG", "COG", "COG", "COG", "COG", 
    "COG", "COG", "COG", "COG", "COG", "COG", "COG", "COG", "COG", 
    "COG", "COG", "COG", "COG", "CRZO", "CRZO", "CRZO", "CRZO", 
    "CRZO", "Other", "Other", "WPX", "WPX", "WPX", "WPX"), col = c("#000000", 
    "#000000", "#000000", "#000000", "red", "red", "red", "red", 
    "red", "red", "red", "red", "red", "red", "red", "red", "red", 
    "red", "red", "red", "red", "red", "red", "red", "red", "red", 
    "blue", "blue", "blue", "blue", "blue", "blue", "blue", "blue", 
    "blue", "blue", "blue", "blue", "blue", "blue", "blue", "blue", 
    "blue", "blue", "blue", "blue", "blue", "blue", "blue", "blue", 
    "blue", "blue", "blue", "blue", "blue", "blue", "blue", "blue", 
    "blue", "blue", "blue", "blue", "blue", "blue", "darkgreen", 
    "darkgreen", "darkgreen", "darkgreen", "darkgreen", "#000000", 
    "#000000", "orange", "orange", "orange", "orange")), .Names = c("x", 
"y", "company", "col"), row.names = c(NA, -75L), class = "data.frame")

如果要按给定颜色对点进行着色，请使用scale_colour_identity()：

ggplot(df, aes(x, y, colour=col)) +
  geom_point() +
  scale_colour_identity()

enter image description here

没有比例，因为颜色本身就是比例。

如果您想将公司的某些值映射到某些颜色，并且这些颜色恰好在原始数据集中，那么您需要将该映射拉出并使用手动缩放。

colmapping <- unique(df[c("company","col")])

ggplot(df, aes(x, y, colour=company)) +
  geom_point() +
  scale_colour_manual(breaks=colmapping$company, values=colmapping$col)

enter image description here

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