Andrey Dugin

dominant_color = numpy.array(image.histogram(), dtype=np.int32).reshape(-1, 256).argmax(axis=1)

lst_keys = ['6.95', '6.95', '6.95', '6.95', '6.96', '6.96', '6.96', '6.96', '6.96', '6.96']
lst_vals = ['0/4', '0/10', '0/6', '0/18',  '0/9', '0/24', '0/22', '0/11', '0/14', '0/7']

d = dict()
for key, val in zip(lst_keys, lst_vals):
    d.setdefault(key, []).append(val)

print(d)

for key, val in zip(lst_keys, lst_vals):
    try:
        d[key].append(val)
    except KeyError:
        d[key] = [val]

from collections import defaultdict

d = defaultdict(list)
for key, val in zip(lst_keys, lst_vals):
    d[key].append(val)

from numpy import sqrt
from decimal import Decimal

n = Decimal(100000000000000000000000000000000000000000000000000)
sqrt(n)  # Decimal('10000000000000000000000000')

from operator import itemgetter
print(*map(itemgetter('id'), md), sep=', ')

branch = parsed_addr['response']['GeoObjectCollection']['featureMember']['GeoObject']['Point']
branch['pos']

parsed_addr.response.GeoObjectCollection.featureMember.GeoObject.Point.pos