Question

我正在处理这个https://drive.google.com/open?id=1YmKZEMpnE5V2hczZ_-vae_g6YvqPYUBE csv文件。我的代码以这种方式工作：

import csv

def read_csv_as_nested_dict(filename, keyfield, separator, quote):
    table = {}
    with open(filename, newline='') as csvfile:
        csvreader = csv.DictReader(csvfile, delimiter=separator, quotechar=quote)
        for row in csvreader:
            rowid = row[keyfield]
            table[rowid] = row
    return table

def build_plot_dict(gdpinfo,country_list):
    merge = {}
    gdp_dict = read_csv_as_nested_dict(gdpinfo["gdpfile"],
                                        gdpinfo["country_name"],
                                        gdpinfo["separator"],
                                        gdpinfo["quote"])
    maxyear = gdpinfo['max_year']
    minyear = gdpinfo['min_year']
    output = []
    for x in country_list:
        for my_key,my_val in gdp_dict[x].items():       
            try:
                my_key.isnumeric() == True         
                if maxyear >= int(my_key) >= minyear:
                        try :
                            my_val == True
                            my_tup = int(my_key), float(my_val)  
                            output.append(my_tup)
                            output.sort(key=lambda my_tup:my_tup[0])        
                        except ValueError:
                            continue
            except ValueError:            
                 continue
        merge[x] = output
        gdp_data = []
    return merge

如果我打印输出：

print(build_plot_dict({'min_year': 2000, 'gdpfile': 'gdptable1.csv', 'country_name': 'Country Name', 'separator': ',', 'max_year': 2005, 'quote': '"', 'country_code': 'Code'}, ['Country1', 'Country2']) )

在缺席的情况下，将返回：

{'Country1': [(2000, 1.0), (2001, 2.0), (2002, 3.0), (2003, 4.0), 
              (2004, 5.0), (2005, 6.0)], 
 'Country2': [(2000, 10.0), (2001, 11.0), (2002, 12.0), (2003, 13.0), 
              (2004, 14.0), (2005, 15.0)]}

但它返回：

{'Country1': [(2000, 1.0), (2000, 10.0), (2001, 2.0), (2001, 11.0), (2002, 3.0), 
              (2002, 12.0), (2003, 4.0), (2003, 13.0), (2004, 5.0), (2004, 14.0), 
              (2005, 6.0), (2005, 15.0)], 
 'Country2': [(2000, 1.0), (2000, 10.0), (2001, 2.0), (2001, 11.0), (2002, 3.0), 
              (2002, 12.0), (2003, 4.0), (2003, 13.0), (2004, 5.0), (2004, 14.0), 
              (2005, 6.0), (2005, 15.0)]}

将GDP从其他国家/地区粘贴。这段代码有什么问题？

Answer 1

您的问题是由于output中的x country_list未被import csv def read_csv_as_nested_dict(filename, keyfield, separator, quote): table = {} with open(filename, newline='') as csvfile: csvreader = csv.DictReader(csvfile, delimiter=separator, quotechar=quote) for row in csvreader: rowid = row[keyfield] table[rowid] = row return table def build_plot_dict(gdpinfo, country_list): merge = {} gdp_dict = read_csv_as_nested_dict(gdpinfo["gdpfile"], gdpinfo["country_name"], gdpinfo["separator"], gdpinfo["quote"]) maxyear = gdpinfo['max_year'] minyear = gdpinfo['min_year'] for x in country_list: output = [] for my_key, my_val in gdp_dict[x].items(): try: if my_key.isnumeric(): if maxyear >= int(my_key) >= minyear: print(my_key) try : my_val == True my_tup = int(my_key), float(my_val) output.append(my_tup) output.sort(key=lambda my_tup : my_tup[0]) except ValueError: continue except ValueError: continue merge[x] = output gdp_data = [] return merge d = build_plot_dict({'min_year': 2000, 'gdpfile': 'gdptable1.csv', 'country_name': 'Country Name', 'separator': ',', 'max_year': 2005, 'quote': '"', 'country_code': 'Code'}, ['Country1', 'Country2']) for k, v in d.items(): print('{} : {}'.format(k, v))清除而导致的：

Country1 : [(2000, 1.0), (2001, 2.0), (2002, 3.0), (2003, 4.0), (2004, 5.0), (2005, 6.0)]
Country2 : [(2000, 10.0), (2001, 11.0), (2002, 12.0), (2003, 13.0), (2004, 14.0), (2005, 15.0)]

这将显示：

if

此外，您的数字测试没有任何效果，需要将其设为{{1}}语句。

我从每个国家和地区的CSV文件GDP中提取，但我对一个国家的字典每年有两个GDP

1 个答案: