我正试图在一揽子“usmap”的基础上制定一份美国大选地图。问题是,包似乎只能做一个白色的背景。如果我改变背景颜色,它就会显示边框。我试图通过设置panel.border = element_blank()来删除边框,但它似乎不起作用。有什么办法解决这个问题吗?

library(usmap)
poll <- read_csv('poll.csv')
poll$fips <-fips(poll$State)
poll$Attitude <- factor(poll$Attitude, levels = attitude)
plot2 <- plot_usmap(data = poll, values = "Attitude", color = 'white', labels=FALSE) + scale_fill_manual(values=c("#1055b6", "#67b5e2", "#cccccc","#ffaca3","#ed4748")) + guides(fill = FALSE)
plot2+ theme(plot.background = element_rect(fill = "#fdf1e5"),
panel.background = element_rect(fill = "#fdf1e5"),
panel.border = element_blank())这是我的数据。
State Abbrev Code n_votes Attitude fips
1 Alabama Ala. AL 9 Solid Republican 01
2 Alaska Alaska AK 3 Toss-up 02
3 Arizona Ariz. AZ 11 Toss-up 04
4 Arkansas Ark. AR 6 Solid Republican 05
5 California Calif. CA 55 Solid Democrat 06
6 Colorado Colo. CO 9 Leaning to Democrat 08
7 Connecticut Conn. CT 7 Solid Democrat 09
8 Delaware Del. DE 3 Solid Democrat 10
9 District of Columbia D.C. DC 3 Solid Democrat 11
10 Florida Fla. FL 29 Leaning to Democrat 12
11 Georgia Ga. GA 16 Toss-up 13
12 Hawaii Hawaii HI 4 Solid Democrat 15
13 Idaho Idaho ID 4 Solid Republican 16
14 Illinois Ill. IL 20 Solid Democrat 17
15 Indiana Ind. IN 11 Leaning to Republican 18
16 Iowa Iowa IA 6 Leaning to Republican 19
17 Kansas Kans. KS 6 Leaning to Republican 20
18 Kentucky Ky. KY 8 Solid Republican 21
19 Louisiana La. LA 8 Solid Republican 22
20 Maine Maine ME 2 Solid Democrat 23
21 Maryland Md. MD 10 Solid Democrat 24
22 Massachusetts Mass. MA 11 Solid Democrat 25
23 Michigan Mich. MI 16 Leaning to Democrat 26
24 Minnesota Minn. MN 10 Toss-up 27
25 Mississippi Miss. MS 6 Solid Republican 28
26 Missouri Mo. MO 10 Leaning to Republican 29
27 Montana Mont. MT 3 Solid Republican 30
28 Nebraska Nebr. NE 2 Solid Republican 31
29 Nevada Nev. NV 6 Leaning to Democrat 32
30 New Hampshire N.H. NH 4 Leaning to Democrat 33
31 New Jersey N.J. NJ 14 Solid Democrat 34
32 New Mexico N.M. NM 5 Solid Democrat 35
33 New York N.Y. NY 29 Solid Democrat 36
34 North Carolina N.C. NC 15 Toss-up 37
35 North Dakota N.D. ND 3 Solid Republican 38
36 Ohio Ohio OH 18 Toss-up 39
37 Oklahoma Okla. OK 7 Solid Republican 40
38 Oregon Ore. OR 7 Solid Democrat 41
39 Pennsylvania Pa. PA 20 Leaning to Democrat 42
40 Rhode Island R.I. RI 4 Solid Democrat 44
41 South Carolina S.C. SC 9 Toss-up 45
42 South Dakota S.D. SD 3 Solid Republican 46
43 Tennessee Tenn. TN 11 Solid Republican 47
44 Texas Tex. TX 38 Toss-up 48
45 Utah Utah UT 6 Leaning to Republican 49
46 Vermont Vt. VT 3 Solid Democrat 50
47 Virginia Va. VA 13 Leaning to Democrat 51
48 Washington Wash. WA 12 Solid Democrat 53
49 West Virginia W.Va. WV 5 Solid Republican 54
50 Wisconsin Wis. WI 10 Leaning to Democrat 55
51 Wyoming Wyo. WY 3 Solid Republican 56 谢谢
丹
发布于 2020-08-18 14:38:21
主题元素panel.border继承自panel.background rect对象。在您的代码中,rect对象正在为panel.background覆盖它。panel.background元素只指定fill=,因此color= (面板周围边框的颜色)默认设置为"black"。如果要为panel.background指定边框的颜色,则应该在该对象的element_rect中这样做。例如,这将移除您的面板边框(但保留绘图边框):
plot2+ theme(plot.background = element_rect(fill = "#fdf1e5"),
panel.background = element_rect(color=NA, fill = "#fdf1e5"))此外,plot.background是包括绘图区域在内的整个绘图区域,以及轴标签、文本等周围的内容。panel.background是绘图区域本身:它是所有点都绘制在绘图上的地方。毫无疑问,您已经理解到,内部框是panel.background,“外部”框是plot.background。如果您只指定了plot.background,那么就不需要指定panel.background。
作为一个例子,下面给出了相同的结果(完全删除panel.background对象):
plot2+ theme(plot.background = element_rect(fill = "#fdf1e5"))我无法让您的数据框架准确地工作(无需进行大量的导入工作),因此您可以使用来自usmap包的内置人口数据来观察其效果:
plot_usmap(data=statepop, values="pop_2015", color='white', labels=FALSE) + guides(fill=FALSE) +
theme(plot.background = element_rect(fill = "#fdf1e5"))

哦,如果您想删除所有边框(而不仅仅是内部边框),您应该在plot.background元素中以同样的方式指定该边框:
theme(plot.background = element_rect(color = NA, fill = "#fdf1e5"))https://stackoverflow.com/questions/63470569
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