更新时间:2022-10-17 21:27:15
如果您希望在Python 3.x中循环遍历所有字典,则可以使用每个字典中的.items()方法并将其嵌套三个循环.>
使用一个名为listen dict_total的主词典,此代码将起作用.
out_region =无out_value =无sel_serie ='孕产妇死亡率(每十万人口的死亡人数)'min_year = 2005max_year = 2015对于reg,在dict_total.items()中为dict_reg:打印(reg)对于dict_reg.items()中的dict_year:如果min_year< =年< = max_year:印刷(年)对于意甲,在dict_year.items()中的值:如果serie == sel_serie且值不为None:print('{} {}'.format(serie,value))如果out_value为None或out_value<价值:out_value =值out_region = regprint('Region:{} \ nSerie:{} Value:{}'.format(out_region,sel_serie,out_value))
So I need help looping thru a nested dictionaries that i have created in order to answer some problems. My code that splits up the 2 different dictionaries and adds items into them is as follows: Link to csv : https://docs.google.com/document/d/1v68_QQX7Tn96l-b0LMO9YZ4ZAn_KWDMUJboa6LEyPr8/edit?usp=sharing
import csv
region_data = {}
country_data = {}
answers = []
data = []
cuntry = False
f = open('dph_SYB60_T03_Population Growth, Fertility and Mortality Indicators.csv')
reader = csv.DictReader(f)
for line in reader:
#This gets all the values into a standard dict
data.append(dict(line))
#This will loop thru the dict and create variables to hold specific items
for i in data:
# collects all of the Region/Country/Area
location = i['Region/Country/Area']
# Gets All the Years
years = i['Year']
i_d = i['ID']
info = i['Footnotes']
series = i['Series']
value = float(i['Value'])
# print(series)
stats = {i['Series']:i['Value']}
# print(stats)
# print(value)
if (i['ID']== '4'):
cuntry = True
if cuntry == True:
if location not in country_data:
country_data[location] = {}
if years not in country_data[location]:
country_data[location][years] = {}
if series not in country_data[location][years]:
country_data[location][years][series] = value
else:
if location not in region_data:
region_data[location] = {}
if years not in region_data[location]:
region_data[location][years] = {}
if series not in region_data[location][years]:
region_data[location][years][series] = value
When I print the dictionary region_data output is:
For Clarification What is shown is a "Region" as a key in a dict. The years being Values and keys in that 'Region's Dict and so on so forth....
I want to understand how i can loop thru the data and answer a question like :
Which region had the largest numeric decrease in Maternal mortality ratio from 2005 to 2015?
Were "Maternal mortality ratio (deaths per 100,000 population)" is a key within the dictionary.
If you prefer to loop throught dictionaries in Python 3.x you can use the method .items() from each dictionary and nest them with three loops.
With a main dictionary called hear dict_total, this code will work it.
out_region = None
out_value = None
sel_serie = 'Maternal mortality ratio (deaths per 100,000 population)'
min_year = 2005
max_year = 2015
for reg, dict_reg in dict_total.items():
print(reg)
for year, dict_year in dict_reg.items():
if min_year <= year <= max_year:
print(year)
for serie, value in dict_year.items():
if serie == sel_serie and value is not None:
print('{} {}'.format(serie, value))
if out_value is None or out_value < value:
out_value = value
out_region = reg
print('Region: {}\nSerie: {} Value: {}'.format(out_region, sel_serie, out_value))