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')
