Beispiel #1
0
            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)
            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')
Beispiel #3
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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')
Beispiel #4
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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')
Beispiel #5
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 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
Beispiel #6
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		if self.mod == None:
			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)