R Plotly choropleth映射空白
这是 我试图在R中制作一个Plotly choropleth贴图。我将Plotly示例页面中的代码镜像如下:R Plotly choropleth映射空白,r,plotly,R,Plotly,这是 我试图在R中制作一个Plotly choropleth贴图。我将Plotly示例页面中的代码镜像如下: wvs_ag = read.csv("wvs_ag.csv") l = list(color = toRGB("grey"), width = 0.5) g = list( showframe = FALSE, showcoastlines = FALSE, showland = TRUE, projection = list(type = 'Mercator') )
wvs_ag = read.csv("wvs_ag.csv")
l = list(color = toRGB("grey"), width = 0.5)
g = list(
showframe = FALSE,
showcoastlines = FALSE,
showland = TRUE,
projection = list(type = 'Mercator')
)
p = plot_geo(wvs_ag) %>%
add_trace(
z = ~Agree_w, color = ~Agree_w, colors = 'Blues',
text = ~Country_Code.p, locations = ~Country_Code.p, marker = list(line = l)) %>%
colorbar(title = 'Agree_w') %>%
layout(
title = 'Title',
geo = g
)
但是,这会为我生成一张空白地图,只有比例在右侧可见。如何使地图显示
(旁注:我不知道Plotly接受的确切国家代码。我的原始数据有一组国家代码,所以我只是将其与Plotly示例页面中的数据合并,并使用它们的县代码。)
编辑:以下是sessioninfo()输出:
您在'read.csv'和dropbox帐户中的文件名不匹配。但除此之外,代码产生了一个很好的结果:啊,对不起。刚刚修复了read.csv输入错误。嗯,奇怪的是,当运行相同的代码时,你能生成一个地图而我却不能。我不知道这是为什么。我注意到,有时当R-Studio plot viewer必须在不同类型的输出之间来回切换时,它有时会“卡住”,只显示一个空白屏幕。可能是R-Studio bug,也可能是htmlwidget bug。也许这就是,或者与之相关。下次发生这种情况时,我会更加注意,并尝试找到一个复制。同样,在这种情况下,如果您没有得到结果,而其他人却得到了结果,那么您应该将
sessionInfo()
结果附加到您的问题中。
R version 3.3.3 (2017-03-06)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 7 x64 (build 7601) Service Pack 1
locale:
[1] LC_COLLATE=English_United States.1252 LC_CTYPE=English_United States.1252
[3] LC_MONETARY=English_United States.1252 LC_NUMERIC=C
[5] LC_TIME=English_United States.1252
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] sp_1.2-4
loaded via a namespace (and not attached):
[1] Rcpp_0.12.10 lattice_0.20-35 tidyr_0.6.1 viridisLite_0.2.0 digest_0.6.12
[6] dplyr_0.5.0 assertthat_0.1 grid_3.3.3 plyr_1.8.4 R6_2.2.0
[11] jsonlite_1.3 gtable_0.2.0 DBI_0.6-1 magrittr_1.5 scales_0.4.1
[16] httr_1.2.1 ggplot2_2.2.1 lazyeval_0.2.0 tools_3.3.3 htmlwidgets_0.8
[21] purrr_0.2.2 munsell_0.4.3 yaml_2.1.14 base64enc_0.1-3 colorspace_1.3-2
[26] htmltools_0.3.5 plotly_4.5.6 tibble_1.3.0