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')
return -1
else:
try:
I = self.mod.get_current()
except:
I = -1
return I
if __name__ == '__main__':
acc = [Accelerator(mod=asp), Accelerator(mod=sls), Accelerator(mod=diamond), Accelerator(mod=nsls), \
Accelerator(mod=esrf), Accelerator(mod=ssrl), Accelerator(mod=spring8), Accelerator(mod=als), \
Accelerator(mod=elettra), Accelerator(mod=anka), Accelerator(mod=astrid), Accelerator(mod=pohang), \
Accelerator(mod=pf)]
chart = MapChart(600, 350)
data_dict = {}
counter = 0
for a in acc:
#I = 100 + counter;
#counter += 1
I = a.get_current()
a.I = I
data_dict[a.isocode] = I
print a.acronym, I, type(I)
#url = http://chart.apis.google.com/chart?cht=map&cht=map:fixed=-60,-20,80,-35&chs=600x350&chd=s:9PfAu&chld=US-NY|CH|US-CA|AU-VIC|GB
#chart.add_data_dict(data_dict)
