无法将数据集生成到pygal.maps.world模块上的世界地图

Question

我正在尝试使用csv (wb_hiv_prevalence_csv_file)在侏儒地图上绘制艾滋病流行情况，以便进行数据可视化。当我打印相关数据(例如hiv_d_2018、country_name等)时，代码的其他方面可以正常工作。然而，当我创建svg文件时，经过所有的努力，映射仍然是空白的，没有通常的彩色数据可视化。请帮助我知道我哪里搞错了。谢谢。

处理数据和创建地图的代码。

import csv
import pygal.maps.world
from country_codes import get_country_code
# Get the country names, country codes and HIV data from file.
filename = 'wb_hiv_prevalence.csv'
with open(filename) as f:
    reader = csv.reader(f)
    header_row = next(reader)

    country_names, hiv_data_2018 = [], []
    for row in reader:
        country_name = (row[0])
        hiv_d_2018 = (row[62])

        country_names.append(country_name)
        hiv_data_2018.append(hiv_d_2018)

        #print(country_name)
        #print(hiv_data_2018)   

        code = get_country_code(country_name)
        if code and hiv_d_2018 != '':
            cc_hiv = code + ': ' + str(hiv_d_2018) + ':  ' + country_name
            #print(cc_hiv)

        elif code and hiv_d_2018 == '':
            cc_zero_hiv = code + ': Zero Hiv Prevalence- ' + country_name
            #print(cc_zero_hiv)

        else:
            error = 'ERROR - ' + country_name
            #print(error)
        #print(hiv_d_2018)                  
wm = pygal.maps.world.World()
wm.title = 'World HIV prevalence rates in 2018, by Country'
wm.add('HIV prevalence rate 0-24%', hiv_d_2018)
wm.render_to_file('wb_hiv_prevalence.svg')

从pygal模块获取国家代码的代码。

from pygal.maps.world import COUNTRIES
from pygal_maps_world import i18n

def get_country_code(country_name):
    """Return the Pygal 2-digit country code for the given country."""
    for code, name in COUNTRIES.items():
        if name == country_name:
            return code 

    # If the country was not found, return None.
    return None

​

​

Answer 1

您必须创建字典并将其传递给wm.add函数。由于在CSV文件或'‘中有一些没有值的数据，标准的浮点数转换将抛出一个error.You，排除if条件中的那些值，并将字符串转换为浮点数(Hiv_d_2018)

import csv
import pygal.maps.world
from country_codes import get_country_code
# Get the country names, country codes and HIV data from file.
filename = 'wb_hiv_prevalence.csv'
with open(filename) as f:
    reader = csv.reader(f)
    header_row = next(reader)

    new_dict1={}

    country_names, hiv_data_2018 = [], []
    for row in reader:
        country_name = (row[0])
        code = get_country_code(country_name)
        hiv_d_2018 = (row[62])

        country_names.append(country_name)
        hiv_data_2018.append(hiv_d_2018)

        
        if code and hiv_d_2018 != '':
            new_dict[code]=float(hiv_d_2018)

        
        else:
            error = 'ERROR - ' + country_name
            #print(error)
        #print(hiv_d_2018)                  
wm = pygal.maps.world.World()
wm.title = 'World HIV prevalence rates in 2018, by Country'
wm.add('HIV prevalence rate 0-24%', new_dict)
wm.render_to_file('wb_hiv_prevalence.svg')