Japanese prefecture emoji exporter

export_pref_emojis.py

# -*- coding: utf-8 -*-
# License: Public Domain

from __future__ import unicode_literals, print_function
import math

import cairosvg
from PIL import Image
from kartograph import Kartograph


prefs = [
    'hokkaido',
    'aomori',
    'iwate',
    'miyagi',
    'akita',
    'yamagata',
    'fukushima',
    'ibaraki',
    'tochigi',
    'gunma',
    'saitama',
    'chiba',
    'tokyo',
    'kanagawa',
    'niigata',
    'toyama',
    'ishikawa',
    'fukui',
    'yamanashi',
    'nagano',
    'gifu',
    'shizuoka',
    'aichi',
    'mie',
    'shiga',
    'kyoto',
    'osaka',
    'hyogo',
    'nara',
    'wakayama',
    'tottori',
    'shimane',
    'okayama',
    'hiroshima',
    'yamaguchi',
    'tokushima',
    'kagawa',
    'ehime',
    'kochi',
    'fukuoka',
    'saga',
    'nagasaki',
    'kumamoto',
    'oita',
    'miyazaki',
    'kagoshima',
    'okinawa'
]

style = '''
#japan {
    fill: #36A536;
    stroke: none;
}
'''


def filter_factory(name):
    def fn(data):
        if data['adm0_a3'] == 'JPN':
            if data['name'].decode(encoding='utf-8') == name:
                return True
            elif data['woe_label'].decode(encoding='utf-8').startswith(name):
                return True
        return False
    return fn

for pref in prefs:
    pref_cap = pref.capitalize()
    print('Extracting %s...' % pref_cap)
    config = {
        'layers': {
            'japan': {
                'src': 'ne_10m_admin_1_states_provinces.shp',
                'filter': filter_factory(pref_cap)
            }
        },
        'proj': {
            'id': 'mercator',
            'lon0': 140
        }
    }

    out_name = 'pref_%s' % pref
    k = Kartograph()
    k.generate(config, outfile='%s.svg' % out_name, stylesheet=style)

    cairosvg.svg2png(url='%s.svg' % out_name, write_to='orig_%s.png' % out_name)

    png = Image.open('orig_%s.png' % out_name)
    longest = max(png.size)
    sq = Image.new(png.mode, (longest, longest))

    new_x = int(math.floor((longest - png.width) / 2))
    new_y = int(math.floor((longest - png.height) / 2))

    sq.paste(png, (new_x, new_y, new_x + png.width, new_y + png.height))
    sq = sq.resize((128, 128), Image.ANTIALIAS)
    sq.save('pref_%s.png' % pref)