for gdp_dict in gdp_data:
if gdp_dict['Year'] == 2016:
country_name = gdp_dict['Country Name']
value = int(gdp_dict['Value'])
code = get_country_code(country_name)
if code:
values[code] = value
# Value levels.
cc_value_1, cc_value_2, cc_value_3 = {}, {}, {}
for c, v in values.items():
if v < 100000000000:
cc_value_1[c] = v
elif v < 1000000000000:
cc_value_2[c] = v
else:
cc_value_3[c] = v
# Prints numerical value of the three categories of GDP.
print(len(cc_value_1), len(cc_value_2), len(cc_value_3))
wm = World()
wm.title = "World Gross Domestic Product in 2016, by country"
# Keeps value from being scientific notation.
wm.value_formatter = lambda x: "{:,}".format(x)
wm.add('< 100B', cc_value_1)
wm.add('100B - 1T', cc_value_2)
wm.add('> 1T', cc_value_3)
wm.render_to_file('world_gdp_2016.svg')
import json
from country_codes import get_country_code
from pygal.maps.world import World
from pygal.style import RotateStyle
# Wczytanie danych i umieszczenie ich na liście.
filename = 'gdp_json.json'
with open(filename) as f:
pop_data = json.load(f)
# Utworzenie słownika danych dotyczących populacji.
cc_populations = {}
for pop_dict in pop_data:
if str(pop_dict['Year']) == '2010':
country_name = pop_dict['Country Name']
population = pop_dict['Value']
code = get_country_code(country_name)
if code:
cc_populations[code] = float(population)
print(cc_populations)
wm_style = RotateStyle('#336699')
wm = World(style=wm_style)
wm.force_uri_protocol = 'http'
wm.value_formatter = lambda x: "%.2f" % x
wm.add('GDP', cc_populations)
wm.render_to_file('world_gdp.svg')
