using python mapscript to create a shapefile and dbf

i always have trouble remembering how to use mapscript. it's pretty simple, but the docs are hard to find and the test cases (though excellent!) have a lot of abstraction.

heres some code that creates a shapefile and dbf (using another module). and does a quick projection at the start.


import mapscript as M
import random
from dbfpy import dbf

#########################################
# do some projection
#########################################

p = 'POINT(466666 466000)'
shape = M.shapeObj.fromWKT(p)
projInObj = M.projectionObj("init=epsg:32619")
projOutObj = M.projectionObj("init=epsg:4326")
shape.project(projInObj, projOutObj)
print shape.toWKT()


#########################################
# create a shapefile from scractch
#########################################
ms_dbf = dbf.Dbf("/tmp/t.dbf", new=True)
ms_dbf.addField(('some_field', "C", 10))

ms_shapefile = M.shapefileObj('/tmp/t.shp', M.MS_SHAPEFILE_POLYGON)

for i in xrange(10):
ms_shape = M.shapeObj(M.MS_SHAPE_POLYGON)
ms_line = M.lineObj()


for j in xrange(10):
ms_line.add(M.pointObj(random.randint(0,99), -random.randint(0,99)))

ms_shape.add(ms_line)
ms_shapefile.add(ms_shape)


rec = ms_dbf.newRecord()
rec['some_field'] = 'hi' + str(i)
rec.store()

ms_dbf.close()

Comments

Popular posts from this blog

filtering paired end reads (high throughput sequencing)

python interval tree

needleman-wunsch global sequence alignment -- updates and optimizations to nwalign