def birth_rate():
# Create a chart object of 200x100 pixels
chart = MapChart(440, 220)
# Load the data from a file, create a dict that looks like:
# {'AU': 5, 'YE': 10}
data = {}
countries = open('mapchart-birth-rate.txt', 'rb').read().split('\n')
for line in countries[:-1]:
code, score = line.split(' ', 1)
data[code] = float(score)
# Set the data dictionary for country codes to value mapping
chart.add_data_dict(data)
# Download the chart
chart.download('mapchart-birth-rate.png')
# Now do it in africa ...
chart.set_geo_area('africa')
# ... with white as the default colour and gradient from green to red
chart.set_colours(('EEEEEE', '10A010', 'D03000'))
chart.download('mapchart-birth-rate-africa.png')
def birth_rate():
# Create a chart object of 200x100 pixels
chart = MapChart(440, 220)
# Load the data from a file, create a dict that looks like:
# {'AU': 5, 'YE': 10}
data = {}
countries = open('mapchart-birth-rate.txt', 'rb').read().split('\n')
for line in countries[:-1]:
code, score = line.split(' ', 1)
data[code] = float(score)
# Set the data dictionary for country codes to value mapping
chart.add_data_dict(data)
# Download the chart
chart.download('mapchart-birth-rate.png')
# Now do it in africa ...
chart.set_geo_area('africa')
# ... with white as the default colour and gradient from green to red
chart.set_colours(('EEEEEE', '10A010', 'D03000'))
chart.download('mapchart-birth-rate-africa.png')
def vars(self, req, data):
# Sets up the variables for the google charts used in the
# template
v = {}
# 440x220 is the max size
us_map = MapChart(440, 220)
us_map.geo_area = 'usa'
items = data.states.counts()
us_map.set_codes([state for count, state in items])
us_map.add_data([count for count, state in items])
us_map.set_colours(('EEEEEE', '0000FF', '000033'))
v['us_map_url'] = us_map.get_url()
country_map = MapChart(440, 220)
items = data.countries.counts()
country_map.set_codes([country_code for count, (country_name, country_code) in items])
country_map.add_data([count for count, (country_name, country_code) in items])
country_map.set_colours(('EEEEEE', '9999FF', '000033'))
v['country_map_url'] = country_map.get_url()
return v
states['all'][state] = states['all'].get(state, 0) + quarter
countries[tel][country] = countries[tel].get(country, 0) + quarter
countries['all'][country] = countries['all'].get(country, 0) + quarter
# write data to file
country_file = open('projects_countries_' + mode + '.csv', 'w')
country_file.write('tel,iso_country,q4\n')
country_writer = csv.writer(country_file)
for tel in telescopes:
for country in country_list:
country_writer.writerow([tel, country,
'%.02f' % countries[tel][country]])
# Now for the experimental chart generation.
all_countries = copy.deepcopy(countries['all'])
all_countries.pop('')
chart = MapChart(440, 220)
chart.set_colours(('FFFFFF', 'CCCCCC', '000000'))
chart.set_codes(all_countries.keys())
chart.add_data(all_countries.values())
chart.download('projects_countries_all_telescopes_' + mode + '.png')
all_countries.pop('US')
chart = MapChart(440, 220)
chart.set_colours(('FFFFFF', 'CCCCCC', '000000'))
chart.set_codes(all_countries.keys())
chart.add_data(all_countries.values())
chart.download('projects_countries_foreign_all_telescopes_' + mode +'.png')
