def make_2013_dots():
print 'making 2013 ACS block group dots'
args = [
'PG:dbname=nola_demographics host=localhost', 'block_groups_2013',
'ESRI Shapefile', 'output/dots-2013', 'dots-2013', get_2013_data,
DOT_DIVISOR
]
dots = DotDensityPlotter(*args)
dots.plot()
def make_2013_dots():
print 'making 2013 ACS block group dots'
args = [
'PG:dbname=nola_demographics host=localhost',
'block_groups_2013',
'ESRI Shapefile',
'output/dots-2013',
'dots-2013',
get_2013_data,
DOT_DIVISOR
]
dots = DotDensityPlotter(*args)
dots.plot()
#!/usr/bin/env python
from englewood import DotDensityPlotter
def get_data(feature):
return {
'under18': feature.GetFieldAsInteger(feature.GetFieldIndex('under18')),
'under25': feature.GetFieldAsInteger(feature.GetFieldIndex('under25')),
'under40': feature.GetFieldAsInteger(feature.GetFieldIndex('under40')),
'under65': feature.GetFieldAsInteger(feature.GetFieldIndex('under65')),
'gte65': feature.GetFieldAsInteger(feature.GetFieldIndex('gte65')),
}
dots = DotDensityPlotter('PG:dbname=tylercensus host=localhost', 'age_shapes', 'PostgreSQL', 'PG:dbname=tylercensus host=localhost', 'age_dots', get_data, 1)
dots.plot()
def get_data(feature):
# The third column of the shapefile is the ward number
ward_id = feature.GetField(2)
# Get the correct ward data
try:
ward = ward_data[ward_id]
print 'Processing ward "%s"' % ward_id
except KeyError:
print 'No data for ward "%s"' % ward_id
return None
return {
'asian': int(ward['nhasian10']),
'black': int(ward['nhblack10']),
'hispanic': int(ward['hisp10']),
'white': int(ward['nhwhite10']),
}
# Ensure the output path exists
if not os.path.exists(OUTPUT_PATH):
os.mkdir(OUTPUT_PATH)
# Create a map with one dot for every 25 people of each group
# Each dot will have an attribute 'GROUP' that will be one of
# 'asian', 'black', 'hispanic', or 'white'.
dots = DotDensityPlotter(INPUT_PATH, INPUT_LAYER, 'ESRI Shapefile',
OUTPUT_PATH, OUTPUT_LAYER, get_data, 25)
dots.plot()
