ggplot2错误消息: error in seq.default(range[1]，range[2]，length.out =nframe)：'from‘必须是一个有限的数字
ggplot2错误消息: error in seq.default(range[1]，range[2]，length.out =nframe)：'from‘必须是一个有限的数字
提问于 2020-01-19 23:26:25
我正在尝试制作以下数据的动画气泡图：
Country/Region 1971 1972 1973 1974 1975 1976 1977 1978 1979 1980 1981 1982 1983 1984 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 GDP per Capita
Albania 3.9 4.5 3.9 4.2 4.5 4.9 5.2 6.2 7.5 7.6 6.4 6.7 7.3 7.6 7.2 7.2 7.5 7.6 7.2 6.3 4.4 2.8 2.3 2.3 1.9 1.9 1.4 1.7 3.0 3.1 3.3 3.8 4.0 4.3 4.1 4.0 4.0 3.9 3.5 3.8 . 5,626
Austria 48.7 50.5 54.0 51.3 50.2 54.3 51.8 54.5 57.2 55.7 52.8 51.0 51.1 52.9 54.3 53.2 54.2 52.1 52.5 56.4 60.6 55.7 56.0 56.2 59.4 63.1 62.4 62.9 61.4 61.7 65.9 67.4 72.6 73.7 74.6 72.5 70.0 70.6 63.5 69.3 56,259
Belarus 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 124.5 119.4 98.8 82.9 70.2 61.4 62.7 61.8 59.3 57.6 58.7 57.8 59.2 60.7 63.0 62.1 66.2 64.0 64.5 62.3 65.3 6,575
Belgium 116.8 126.7 132.7 130.6 115.6 124.5 123.5 129.0 132.3 125.7 115.5 109.3 100.6 102.6 101.9 102.6 102.8 104.6 105.9 107.9 113.3 112.3 109.8 115.5 115.2 121.3 118.5 120.9 117.4 118.6 119.1 111.9 119.5 116.5 112.6 109.6 105.6 111.0 100.7 106.4 51,237
Bosnia 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 23.7 21.2 15.6 13.1 3.0 3.2 4.1 8.3 10.5 10.2 13.5 13.3 14.0 14.3 15.0 15.6 17.2 18.2 19.9 19.4 19.9 6,140
Bulgaria 62.8 64.8 66.6 67.7 72.2 72.1 74.8 77.9 81.1 83.8 79.9 81.5 80.2 78.3 81.1 82.1 83.1 82.1 81.4 74.8 56.4 54.1 55.1 52.5 53.2 53.8 50.9 48.7 42.8 42.1 44.8 42.0 46.3 45.4 45.9 47.3 50.4 49.0 42.2 43.8 9,811
Croatia 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 21.6 15.7 15.2 15.8 15.0 15.8 15.6 17.3 18.4 18.3 17.7 18.6 19.6 21.0 20.4 20.8 20.8 22.1 21.0 19.8 19.0 15,533
Cyprus 1.8 2.2 2.3 1.8 1.7 2.0 2.1 2.3 2.5 2.6 2.5 2.6 2.7 2.8 2.8 3.1 3.6 3.6 3.8 3.8 4.4 4.7 4.9 5.3 5.2 5.5 5.7 5.8 6.0 6.3 6.2 6.3 7.0 6.9 7.0 7.1 7.3 7.6 7.5 7.2 30,521
Czech Republic 151.0 150.0 147.1 146.3 152.6 157.4 166.9 163.0 172.5 165.8 166.5 169.3 170.5 173.1 173.1 173.1 174.2 170.8 163.5 155.1 140.9 131.4 126.7 120.2 123.7 125.6 124.0 117.6 110.9 121.9 121.4 117.2 120.7 121.8 119.6 120.7 122.0 117.3 110.1 114.5 26,114
Denmark 55.0 57.1 56.0 49.8 52.5 58.1 59.7 59.2 62.7 62.5 52.5 54.6 51.3 52.9 60.5 61.1 59.3 55.5 49.8 50.4 60.5 54.8 57.1 61.0 58.0 71.2 61.6 57.7 54.6 50.6 52.2 51.9 57.1 51.6 48.3 56.0 51.4 48.4 46.7 47.0 66,196
Estonia 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 36.1 32.1 23.5 18.0 17.8 16.1 17.0 16.5 16.0 14.9 14.6 15.1 14.6 16.6 16.7 16.9 15.5 19.3 17.7 14.7 18.5 25,260
Finland 39.8 43.7 48.0 44.5 44.4 50.5 50.2 54.7 54.4 55.2 46.0 44.5 43.2 44.4 48.6 49.5 53.8 53.1 52.9 54.4 55.9 53.7 54.8 61.4 56.0 62.2 60.1 56.8 56.1 55.1 60.3 63.0 70.8 67.2 55.2 66.8 65.0 57.0 55.0 62.9 54,869
France 431.9 448.6 484.8 464.6 430.6 469.3 455.3 474.7 481.8 461.4 414.1 396.7 381.0 369.5 360.3 347.8 342.3 340.5 355.9 352.3 379.6 368.0 348.9 344.4 353.8 368.6 361.7 385.3 377.7 376.9 383.8 375.9 385.2 385.4 388.4 379.6 373.1 370.2 351.4 357.8 46,493
Germany 978.6 1003.2 1053.1 1028.5 975.5 1032.2 1017.2 1055.9 1103.6 1055.6 1022.3 982.3 983.9 1006.1 1014.6 1016.3 1007.2 1001.2 976.8 949.7 924.8 886.5 879.9 868.5 867.8 896.5 865.8 858.9 826.9 825.0 843.3 830.7 839.8 840.8 809.0 820.9 796.3 800.1 747.1 761.6 53,276我的气泡图代码是：
ggplot(europe.gdp, aes(europe.gdp$`GDP per capita`, europe.gdp$CO2.per.capita, size = europe.gdp$CO2.per.capita, color = europe.gdp$`Country/Region`)) +geom_point() +scale_x_log10() +theme_bw() +labs(title = 'Year: {frame_time}', x = 'GDP per capita', y = 'CO2 emissions/ tonnes per capita') +transition_time('Year: {frame_time}) +ease_aes('linear')其中C02.per.capita是以年份为首的数据。然而，我一直收到这个错误：
no non-missing arguments to min; returning Infno non-missing arguments to max; returning -InfError in seq.default(range[1], range[2], length.out = nframes) :
'from' must be a finite number这意味着什么?我该如何修复它？我对r非常陌生，所以如果这个问题真的很容易修复，我很抱歉。
回答 1
Stack Overflow用户
回答已采纳
发布于 2020-01-20 01:17:56
问题是transition_time函数需要在您的数据中接收一个变量来告诉它是哪一年，但是您还没有给它一个变量。
从本质上讲，您的数据格式不正确。您需要从宽格式数据帧切换到长格式数据帧开始。
这意味着您不再具有按年划分的列，而是具有针对国家/地区的单个列、针对CO2的单个列和针对CO2的单个列。国家和GDPs将每年重复一次。我们可以使用dplyr和tidyr包来做到这一点：
library(tidyr)
library(dplyr)
library(ggplot2)
library(gganimate)
df <- europe.gdp %>%
group_by(`Country/Region`) %>%
gather(key = "Year", value = "CO2",
-`Country/Region`, -`GDP per Capita`, -CO2.per.capita) %>%
as.data.frame
df$GDP <- rep(europe.gdp$`GDP per Capita`, 40)
df$Year <- as.numeric(df$Year)现在，您可以使用年份作为动画变量：
ggplot(data = df,
aes(x = GDP,
y = CO2,
size = CO2,
color = `Country/Region`)) +
geom_point() +
scale_x_log10() +
theme_bw() +
labs(title = 'Year: {frame_time}',
x = 'GDP per capita',
y = 'CO2 emissions/ tonnes per capita') +
transition_time(Year) + ease_aes('linear')
以下是从问题和评论中剥离出来的可重复数据：
europe.gdp <- structure(list(`Country/Region` = c("Albania", "Austria", "Belarus",
"Belgium", "Bosnia", "Bulgaria", "Croatia", "Cyprus", "Czech Republic",
"Denmark", "Estonia", "Finland", "France", "Germany"), `1971` = c(3.9,
48.7, 0, 116.8, 0, 62.8, 0, 1.8, 151, 55, 0, 39.8, 431.9, 978.6
), `1972` = c(4.5, 50.5, 0, 126.7, 0, 64.8, 0, 2.2, 150, 57.1,
0, 43.7, 448.6, 1003.2), `1973` = c(3.9, 54, 0, 132.7, 0, 66.6,
0, 2.3, 147.1, 56, 0, 48, 484.8, 1053.1), `1974` = c(4.2, 51.3,
0, 130.6, 0, 67.7, 0, 1.8, 146.3, 49.8, 0, 44.5, 464.6, 1028.5
), `1975` = c(4.5, 50.2, 0, 115.6, 0, 72.2, 0, 1.7, 152.6, 52.5,
0, 44.4, 430.6, 975.5), `1976` = c(4.9, 54.3, 0, 124.5, 0, 72.1,
0, 2, 157.4, 58.1, 0, 50.5, 469.3, 1032.2), `1977` = c(5.2, 51.8,
0, 123.5, 0, 74.8, 0, 2.1, 166.9, 59.7, 0, 50.2, 455.3, 1017.2
), `1978` = c(6.2, 54.5, 0, 129, 0, 77.9, 0, 2.3, 163, 59.2,
0, 54.7, 474.7, 1055.9), `1979` = c(7.5, 57.2, 0, 132.3, 0, 81.1,
0, 2.5, 172.5, 62.7, 0, 54.4, 481.8, 1103.6), `1980` = c(7.6,
55.7, 0, 125.7, 0, 83.8, 0, 2.6, 165.8, 62.5, 0, 55.2, 461.4,
1055.6), `1981` = c(6.4, 52.8, 0, 115.5, 0, 79.9, 0, 2.5, 166.5,
52.5, 0, 46, 414.1, 1022.3), `1982` = c(6.7, 51, 0, 109.3, 0,
81.5, 0, 2.6, 169.3, 54.6, 0, 44.5, 396.7, 982.3), `1983` = c(7.3,
51.1, 0, 100.6, 0, 80.2, 0, 2.7, 170.5, 51.3, 0, 43.2, 381, 983.9
), `1984` = c(7.6, 52.9, 0, 102.6, 0, 78.3, 0, 2.8, 173.1, 52.9,
0, 44.4, 369.5, 1006.1), `1985` = c(7.2, 54.3, 0, 101.9, 0, 81.1,
0, 2.8, 173.1, 60.5, 0, 48.6, 360.3, 1014.6), `1986` = c(7.2,
53.2, 0, 102.6, 0, 82.1, 0, 3.1, 173.1, 61.1, 0, 49.5, 347.8,
1016.3), `1987` = c(7.5, 54.2, 0, 102.8, 0, 83.1, 0, 3.6, 174.2,
59.3, 0, 53.8, 342.3, 1007.2), `1988` = c(7.6, 52.1, 0, 104.6,
0, 82.1, 0, 3.6, 170.8, 55.5, 0, 53.1, 340.5, 1001.2), `1989` = c(7.2,
52.5, 0, 105.9, 0, 81.4, 0, 3.8, 163.5, 49.8, 0, 52.9, 355.9,
976.8), `1990` = c(6.3, 56.4, 124.5, 107.9, 23.7, 74.8, 21.6,
3.8, 155.1, 50.4, 36.1, 54.4, 352.3, 949.7), `1991` = c(4.4,
60.6, 119.4, 113.3, 21.2, 56.4, 15.7, 4.4, 140.9, 60.5, 32.1,
55.9, 379.6, 924.8), `1992` = c(2.8, 55.7, 98.8, 112.3, 15.6,
54.1, 15.2, 4.7, 131.4, 54.8, 23.5, 53.7, 368, 886.5), `1993` = c(2.3,
56, 82.9, 109.8, 13.1, 55.1, 15.8, 4.9, 126.7, 57.1, 18, 54.8,
348.9, 879.9), `1994` = c(2.3, 56.2, 70.2, 115.5, 3, 52.5, 15,
5.3, 120.2, 61, 17.8, 61.4, 344.4, 868.5), `1995` = c(1.9, 59.4,
61.4, 115.2, 3.2, 53.2, 15.8, 5.2, 123.7, 58, 16.1, 56, 353.8,
867.8), `1996` = c(1.9, 63.1, 62.7, 121.3, 4.1, 53.8, 15.6, 5.5,
125.6, 71.2, 17, 62.2, 368.6, 896.5), `1997` = c(1.4, 62.4, 61.8,
118.5, 8.3, 50.9, 17.3, 5.7, 124, 61.6, 16.5, 60.1, 361.7, 865.8
), `1998` = c(1.7, 62.9, 59.3, 120.9, 10.5, 48.7, 18.4, 5.8,
117.6, 57.7, 16, 56.8, 385.3, 858.9), `1999` = c(3, 61.4, 57.6,
117.4, 10.2, 42.8, 18.3, 6, 110.9, 54.6, 14.9, 56.1, 377.7, 826.9
), `2000` = c(3.1, 61.7, 58.7, 118.6, 13.5, 42.1, 17.7, 6.3,
121.9, 50.6, 14.6, 55.1, 376.9, 825), `2001` = c(3.3, 65.9, 57.8,
119.1, 13.3, 44.8, 18.6, 6.2, 121.4, 52.2, 15.1, 60.3, 383.8,
843.3), `2002` = c(3.8, 67.4, 59.2, 111.9, 14, 42, 19.6, 6.3,
117.2, 51.9, 14.6, 63, 375.9, 830.7), `2003` = c(4, 72.6, 60.7,
119.5, 14.3, 46.3, 21, 7, 120.7, 57.1, 16.6, 70.8, 385.2, 839.8
), `2004` = c(4.3, 73.7, 63, 116.5, 15, 45.4, 20.4, 6.9, 121.8,
51.6, 16.7, 67.2, 385.4, 840.8), `2005` = c(4.1, 74.6, 62.1,
112.6, 15.6, 45.9, 20.8, 7, 119.6, 48.3, 16.9, 55.2, 388.4, 809
), `2006` = c(4, 72.5, 66.2, 109.6, 17.2, 47.3, 20.8, 7.1, 120.7,
56, 15.5, 66.8, 379.6, 820.9), `2007` = c(4, 70, 64, 105.6, 18.2,
50.4, 22.1, 7.3, 122, 51.4, 19.3, 65, 373.1, 796.3), `2008` = c(3.9,
70.6, 64.5, 111, 19.9, 49, 21, 7.6, 117.3, 48.4, 17.7, 57, 370.2,
800.1), `2009` = c(3.5, 63.5, 62.3, 100.7, 19.4, 42.2, 19.8,
7.5, 110.1, 46.7, 14.7, 55, 351.4, 747.1), `2010` = c(3.8, 69.3,
65.3, 106.4, 19.9, 43.8, 19, 7.2, 114.5, 47, 18.5, 62.9, 357.8,
761.6), `GDP per Capita` = c(5626, 56259, 6575, 51237, 6140,
9811, 15533, 30521, 26114, 66196, 25260, 54869, 46493, 53276),
CO2.per.capita = c(186.9, 2358.2, 1482.4, 4586.8, 293.2,
2495, 389.5, 176.5, 5690, 2218.2, 388.2, 2171.1, 15679.1,
37054)), row.names = c(NA, -14L), class = "data.frame")页面原文内容由Stack Overflow提供。腾讯云小微IT领域专用引擎提供翻译支持
原文链接：
https://stackoverflow.com/questions/59811513
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