Ren*_*ene 5 plot data-visualization dataframe julia choropleth
我想将渐变(垂直)颜色条添加到我在 Julia 中的专题地图图中,其值来自变量values
。下面的地图是人口密度区划。
任何关于如何添加渐变图例栏的建议?
我的代码(包括下载 en 解压打开的数据 shapefile):
using DataFrames
using Plots
using Shapefile
using ZipFile
# make directory downloads
downloads = joinpath(pwd(), "downloads")
if ~ispath(downloads)
mkpath(downloads)
end
# make directory shapefiles
shapefiles = joinpath(pwd(), "shapefiles")
if ~ispath(shapefiles)
mkpath(shapefiles)
end
# download shapefiles
url = "https://www.cbs.nl/-/media/cbs/dossiers/nederland-regionaal/wijk-en-buurtstatistieken/wijkbuurtkaart_2020_v1.zip"
name_zipfile = split(url, "/")[end]
path_zipfile = joinpath(pwd(), "downloads", name_zipfile)
if ~isfile(path_zipfile)
download(url, path_zipfile)
end
# extract shapefiles
path_shapefile = joinpath(pwd(), "shapefiles", "gemeente_2020_v1.shp")
if ~isfile(path_shapefile)
r = ZipFile.Reader(path_zipfile)
for file in r.files
open(joinpath(pwd(), "shapefiles", file.name), "w") do io
write(io, read(file))
end
end
end
# read shapefile
table = Shapefile.Table(path_shapefile)
df = table |> DataFrame
# filter for land (i.e. not water)
row_filter = df.H2O .== "NEE"
# filter data and shapes
municipality_data = df[row_filter, :]
municipality_shape = Shapefile.shapes(table)[row_filter]
function normalize(array)
"""
Normalize array to values between 0 and 1
"""
return [(x - minimum(array))/(maximum(array) - minimum(array)) for x in array]
end
# select variable to plot
var = "BEV_DICHTH" # population density
# values to plot
values = municipality_data[:, var]
normalized_values = normalize(values)
# colors
colormap = :heat
colors = Array([cgrad(colormap)[value] for value in normalized_values])
# plot thematic map
p = plot(size=(500, 600), axis=false, ticks=false)
for i = 1:nrow(municipality_data)
plot!(municipality_shape[i], color=colors[i])
end
p
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颜色条示例:
x = y = 0:10
plot(x, y, (x,y)->x*y, st=:contourf, fill=(true, cgrad(:heat)))
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