Created
April 13, 2018 14:42
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Create PDF map with custom projection using Mapnik and TileMill
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#used in jupyter notebook with Python 2 | |
!apt-get install python-cairocffi | |
!pip install mapnik | |
import mapnik | |
import cairocffi as cairo | |
map = mapnik.Map (1750 ,1185) | |
mapnik.load_map ( map ,'wallmap.xml') | |
map.zoom_all () | |
map.zoom (1) | |
mapnik.render_to_file(map,"output.pdf","pdf") |
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<?xml version="1.0" encoding="utf-8"?> | |
<!DOCTYPE Map[]> | |
<Map srs="+proj=gall +lon_0=0 +x_0=0 +y_0=0 +a=6371000 +b=6371000 +units=m +no_defs"> | |
<Parameters> | |
<Parameter name="bounds">-180,-85.05112877980659,-180,85.05112877980659</Parameter> | |
<Parameter name="center">0,0,2</Parameter> | |
<Parameter name="format">png</Parameter> | |
<Parameter name="minzoom">0</Parameter> | |
<Parameter name="maxzoom">22</Parameter> | |
</Parameters> | |
<Style name="oceanfloor" filter-mode="first" > | |
<Rule> | |
<LineSymbolizer stroke="#c0ecff" stroke-width="0" stroke-linejoin="round" stroke-opacity="1" /> | |
<PolygonSymbolizer fill-opacity="1" fill="#ececec" comp-op="color-burn" /> | |
</Rule> | |
</Style> | |
<Layer name="oceanfloor" | |
srs="+proj=merc +a=6378137 +b=6378137 +lat_ts=0.0 +lon_0=0.0 +x_0=0.0 +y_0=0.0 +k=1.0 +units=m +nadgrids=@null +wktext +no_defs +over"> | |
<StyleName>oceanfloor</StyleName> | |
<Datasource> | |
<Parameter name="file"><![CDATA[f3784b4d-10m-bathymetry.shp]]></Parameter> | |
<Parameter name="type"><![CDATA[shape]]></Parameter> | |
</Datasource> | |
</Layer> | |
<Style name="countries" filter-mode="first" > | |
<Rule> | |
<LineSymbolizer stroke-width="3" stroke="#d4d4d4" stroke-linejoin="round" /> | |
<PolygonSymbolizer fill="#ffffff" /> | |
</Rule> | |
</Style> | |
<Layer name="countries" | |
srs="+proj=merc +a=6378137 +b=6378137 +lat_ts=0.0 +lon_0=0.0 +x_0=0.0 +y_0=0.0 +k=1.0 +units=m +nadgrids=@null +wktext +no_defs +over"> | |
<StyleName>countries</StyleName> | |
<Datasource> | |
<Parameter name="file"><![CDATA[82945364-10m-admin-0-countries.shp]]></Parameter> | |
<Parameter name="type"><![CDATA[shape]]></Parameter> | |
</Datasource> | |
</Layer> | |
</Map> |
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