[英]Count of unique values in nested dict python
我有一个像这样的字典:
dict = {
"a": {"Azerbaijan": 20006.0, "Germany": 20016.571428571428},
"b": {"Chad": 13000.0, "South Africa": 3000000.0},
"c": {"Chad": 200061.0, "South Africa": 3000000.0}
}
而且,我正在尝试确定每个独特国家/地区和价值的发生次数。
例如, {"Chad": 2, "South Africa": 2,..}
, {"3000000": 2, "13000": 1,..}
我正在使用下面的代码,但它不是很聪明,是否有更好的方法来执行此操作,而无需花费很长的迭代周期,因为实际的dict很大?
seencountries = {}
seenvalues = {}
for key, innerdict in dict.iteritems():
for country, value in innerdict.iteritems():
if value not in seenvalues.keys():
seenvalues[value] = 0
seenvalues[value]+=1
if country not in seencountries.keys():
seencountries[country] = 0
seencountries[country]+=1
print seencountries
print seenvalues
from collections import Counter
seen_countries = Counter()
seen_values = Counter()
for data in your_dicts.itervalues():
seen_countries += Counter(data.keys())
seen_values += Counter(data.values())
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