我的代码有问题。我在第38行和第121行收到一条错误消息：
“ build_country_code_converter（{'codefile'：'code1.csv'，'separator'：'，'，'quote'：”'“，'plot_codes'：'Code1'，'data_codes'：'Code2'}， ）预期{'Ab'：'Cd'，'Gh'：'Ij'，'MN'：'OP'，'ST'：'UV'}，但收到（Exception：ValueError）“不在列表中”第38行，在build_country_code_converter中 build_map_dict_by_code（{'gdpfile'：'gdptable1.csv'，'separator'：'，'，'quote'：'“'，'min_year'：2000，'max_year'：2005，'country_name'：'国家名称'， 'country_code'：'Code'}，{'codefile'：'code2.csv'，'separator'：'，'，'quote'：“'”，'plot_codes'：'Cd2'，'data_codes'：'Cd3 '}，{'C1'：'c1'，'C2'：'c2'，'C3'：'c3'，'C4'：'c4'，'C5'：'c5'}，'2001'） （{'C1'：0.30102999566398114，'C3'：1.041392685158225}，{'C5'，'C4'，'C2'}，set（）），但在第121行收到了（Exception：ValueError）“列表中没有不在” ，在build_map_dict_by_code中。”
有人知道怎么回事吗？
我认为这是由于变量引起的，很遗憾找不到错误
import csv
import math
import copy
import pygal
def read_csv_file(file_name, separator, quote):
with open(file_name, newline='') as csv_file:
csv_table = []
csv_reader = csv.reader(csv_file, delimiter=separator, quotechar=quote)
for row in csv_reader:
csv_table.append(row)
return csv_table
def build_country_code_converter(codeinfo):
"""
Inputs:
codeinfo - A country code information dictionary
Output:
A dictionary whose keys are plot country codes and values
are world bank country codes, where the code fields in the
code file are specified in codeinfo.
"""
codes_zusammen = {}
reader = read_csv_file(codeinfo.get("codefile"), codeinfo.get("separator"),
codeinfo.get("quote"))
code_plot = reader[0].index(codeinfo.get("codes_plot"))
code_daten = reader[0].index(codeinfo.get("codes_daten"))
for daten in reader[1:]:
codes_zusammen[daten[code_plot]] = daten[code_daten]
return codes_zusammen
def reconcile_countries_by_code(codeinfo, plot_countries, gdp_countries):
"""
Inputs:
codeinfo - A country code information dictionary
plot_countries - Dictionary whose keys are plot library country codes
and values are the corresponding country name
gdp_countries - Dictionary whose keys are country codes used in GDP data
Output:
A tuple containing a dictionary and a set. The dictionary maps
country codes from plot_countries to country codes from
gdp_countries. The set contains the country codes from
plot_countries that did not have a country with a corresponding
code in gdp_countries.
Note that all codes should be compared in a case-insensitive
way. However, the returned dictionary and set should include
the codes with the exact same case as they have in
plot_countries and gdp_countries.
"""
found_country_codes = {}
no_code_countries = set()
for country in plot_countries:
for code in gdp_countries.values():
if plot_countries.get(country) == code.get("Country Name"):
found_country_codes[country] = code.get("Country Code")
for code in plot_countries:
if not code in found_country_codes:
no_code_countries.add(code)
tupled_values = () + (found_country_codes, no_code_countries,)
return tupled_values
##TEST
#codeinfo = {'plot_codes': 'ISO3166-1-Alpha-2', 'quote': '"', 'separator': ',',
# 'codefile': 'code4.csv', 'data_codes': 'ISO3166-1-Alpha-3'}
#plot_countries = {'pr': 'Puerto Rico', 'us': 'United States', 'no': 'Norway'}
#gdp_countries = {'USA': {'Country Name': 'United States', 'Country Code': 'USA'},
# 'NOR': {'Country Name': 'Norway', 'Country Code': 'NOR'}}
#
#if reconcile_countries_by_code(codeinfo,plot_countries,gdp_countries) == \
# ({'us': 'USA', 'no': 'NOR'}, {'pr'}):
# print("True")
#else:
# print("False")
def build_map_dict_by_code(gdpinfo, codeinfo, plot_countries, year):
"""
Inputs:
gdpinfo - A GDP information dictionary
codeinfo - A country code information dictionary
plot_countries - Dictionary mapping plot library country codes to country names
year - String year for which to create GDP mapping
Output:
A tuple containing a dictionary and two sets. The dictionary
maps country codes from plot_countries to the log (base 10) of
the GDP value for that country in the specified year. The first
set contains the country codes from plot_countries that were not
found in the GDP data file. The second set contains the country
codes from plot_countries that were found in the GDP data file, but
have no GDP data for the specified year.
"""
country_codes = {}
copy_plot_countries = copy.deepcopy(plot_countries)
no_value_countries = set()
code_reader = read_csv_file(codeinfo.get("codefile"), codeinfo.get("separator"),
codeinfo.get("quote"))
code_plot = code_reader[0].index(codeinfo.get("codes_plot"))
code_daten = code_reader[0].index(codeinfo.get("codes_daten"))
with open(gdpinfo.get("gdpfile"), 'r') as csvfile:
gdp_reader = csv.DictReader(csvfile, delimiter=gdpinfo.get("separator"),
quotechar=gdpinfo.get("quote"))
for data in gdp_reader:
for code in code_reader[1:]:
if data[gdpinfo.get("country_code")].lower() == code[code_daten].lower():
plt_code = [plot_c for plot_c in copy_plot_countries \
if code[code_plot].lower() == plot_c.lower()]
if not len(plt_code) == 0:
try:
country_codes[''.join(plt_code)] = math.log10(float(data.get(year)))
except ValueError:
no_value_countries.add(''.join(plt_code))
del copy_plot_countries[''.join(plt_code)]
return () + (country_codes, set(copy_plot_countries.keys()), no_value_countries, )
##TEST
#gdpinfo = {'country_code': 'CC', 'gdpfile': 'gdptable3.csv', 'quote': "'",
# 'separator': ';', 'country_name': 'ID', 'min_year': 20010, 'max_year': 20017}
#codeinfo = {'separator': ',', 'plot_codes': 'Code4', 'data_codes': 'Code3', 'quote': "'",
# 'codefile': 'code1.csv'}
#plot_countries = {'C3': 'c3', 'C2': 'c2', 'C1': 'c1'}
#if build_map_dict_by_code(gdpinfo, codeinfo, plot_countries, '20016') == \
# ({'C3': 10.780708577050003, 'C2': 9.301029995663981, 'C1': 9.301029995663981}, set(), set()):
# print("True")
#else:
# print("False")
def render_world_map(gdpinfo, codeinfo, plot_countries, year, map_file):
"""
Inputs:
gdpinfo - A GDP information dictionary
codeinfo - A country code information dictionary
plot_countries - Dictionary mapping plot library country codes to country names
year - String year of data
map_file - String that is the output map file name
Output:
Returns None.
Action:
Creates a world map plot of the GDP data in gdp_mapping and outputs
it to a file named by svg_filename.
"""
worldmap_chart = pygal.maps.world.World()
worldmap_chart.title = 'GDP by country for ' + year + ' (log scale), unified by common' + \
' country Code'
gdp_datas = build_map_dict_by_code(gdpinfo, codeinfo, plot_countries, year)
worldmap_chart.add('GDP For ' + year, gdp_datas[0])
worldmap_chart.add('Missing from World Bank Data', gdp_datas[1])
worldmap_chart.add('No GDP Data', gdp_datas[2])
worldmap_chart.render_in_browser() #renders the world map on default browser
# worldmap_chart.render_to_file(map_file) #saves the file with the given name
def test_render_world_map():
"""
Test the project code for several years
"""
gdpinfo = {
"gdpfile": "isp_gdp.csv",
"separator": ",",
"quote": '"',
"min_year": 1960,
"max_year": 2015,
"country_name": "Country Name",
"country_code": "Country Code"
}
codeinfo = {
"codefile": "isp_country_codes.csv",
"separator": ",",
"quote": '"',
"codes_plot": "ISO3166-1-Alpha-2",
"codes_daten": "ISO3166-1-Alpha-3"
}
# Get pygal country code map
pygal_countries = pygal.maps.world.COUNTRIES
# 1960
render_world_map(gdpinfo, codeinfo, pygal_countries, "1960", "isp_gdp_world_code_1960.svg")
# 1980
render_world_map(gdpinfo, codeinfo, pygal_countries, "1980", "isp_gdp_world_code_1980.svg")
# 2000
render_world_map(gdpinfo, codeinfo, pygal_countries, "2000", "isp_gdp_world_code_2000.svg")
# 2010
render_world_map(gdpinfo, codeinfo, pygal_countries, "2010", "isp_gdp_world_code_2010.svg")
# Make sure the following call to test_render_world_map is commented
#test_render_world_map()
想知道为什么。