为连续数据映射添加NA值到ggplot图例 [英] Add NA value to ggplot legend for continuous data map

问题描述

我使用ggplot将数据值映射到（强化的）SpatialPolygonsDataFrame，但许多多边形都有NA值，因为没有可用的数据。

我使用na.value =white来正确显示缺失的数据，但是我想在图例中添加一个带白色填充的框（或

  library（ggplot2）
 
 india.df <  -  read.csv（'india.df.csv'）
＃（我不知道如何提供此文件以使代码可重现）
 
 ggplot（）+ 
 geom_polygon（data = india.df，aes（x = long，y = lat，group = group，fill = Area_pct））+ 
 scale_fill_gradient（low =orange2，high =darkblue，na （数据=印度.df，aes_string（x = x，y = y，组=组），颜色=灰色，大小= 0.25）+ 
 theme_bw（）+ 
 coord_map（）+ 
 labs（title =古吉拉特邦灌溉稻米 -  2001，
 fill =面积（％））
  

（我有一个很好的图像来说明这一点，但没有足够的信誉点来发布它）

我读过这个，但我的数据是连续的（不是离散的），并且这个，但我无法弄清楚如何调整'line'变为'fill'。

感谢您的帮助！

解决方案

p>

  data [is.na（data）] < -  0 
  

这样，您的nas将被替换为零，而yout legend将显示0s。

并向我们展示图片你可以有一个博客，并可以粘贴链接在这里

I'm using ggplot to map data values to a (fortified) SpatialPolygonsDataFrame, but many of the polygons have NA values because there is no data available.

I used na.value = "white" to display the missing data correctly, but I'd like to add a box with a white fill in the legend (or a separate legend) with the label "no data".

library(ggplot2)

india.df <- read.csv('india.df.csv') 
# (I don't know how to provide this file to make the code reproducible)

ggplot() +
geom_polygon(data=india.df, aes(x = long, y = lat, group = group, fill=Area_pct)) +
scale_fill_gradient(low="orange2", high="darkblue", na.value = "white") +
geom_path(data=india.df, aes_string(x = x, y = y, group = group), color = "gray", size = 0.25) +
theme_bw() +
coord_map() +
labs(title = "Rice Under Irrigation in Gujarat - 2001", 
     fill = "Area (%)")

(I have a great image to illustrate this but don't have enough reputation points to post it)

I've read this, but my data is continuous (not discrete), and this, but I can't figure out how to adapt the 'line' change to 'fill'.

Thanks for the help!!

解决方案

you can replace your NAs with 0 using

data[is.na(data)] <- 0

that way your nas will be replaced by zero and yout legend will show "0s"

And to show us the image you can have a blog and can paste the link here

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