Map the world according to the data of each country (take the global epidemic as an example)

Take the global epidemic as an example pyecharts Library usage .

Its core is to build a Dictionaries , The key value pairs of the dictionary correspond to the country name and the data of the corresponding country .

import numpy as np
import pandas as pd

df = pd.read_csv('time_series_covid19_confirmed_global.csv')
data = df.iloc[:, 4:]
country = df.iloc[:,1]
last_data = data.iloc[:, -1]

map_version = {}  # Define an empty dictionary 
for i in range(len(country)):
    name = country[i]   # The name of the country 
    confirm = last_data[i]   # Number of epidemic cases in the country 
    if name in map_version:
        map_version[name] = int(confirm)  + map_version[name]
    else:
        map_version[name] = int(confirm)  # Pass the country and number of people into the dictionary in the form of key value pairs 

element = list(map_version.items())

After getting the corresponding Dictionary , The following fixed format will element To the drawing function .

from pyecharts.charts import Map,Geo
from pyecharts import options

map = Map(options.InitOpts(bg_color="#87CEFA",page_title=' World epidemic distribution ')).\
    add(series_name=" World epidemic distribution map ",  # name 
        data_pair=element,   # Incoming data 
        is_map_symbol_show=False,  # Don't show tags 
        maptype='world',   # Map type 
        )
# Set global configuration item 
map.set_global_opts(visualmap_opts=options.VisualMapOpts(max_=500000000,is_piecewise=True,pieces=[
                 {"min": 50000000},
                 {"min": 10000000, "max": 49999999},
                 {"min": 1000000, "max": 9999999},
                 {"min": 100000, "max": 999999},
                 {"min": 10000, "max": 99999},
                 {"max": 9999},]))
# Set series configuration items 
map.set_series_opts(label_opts=options.LabelOpts(is_show=False))  # Do not display country name 
map.render('map.html')  # Name and save 
print(country)

Under the current file, you will get map.html file , Double click open with browser to view , You can also use the mouse to view specific data for each country .

Look at the map , Almost all countries have been affected by the epidemic , The United States has the largest number of confirmed cases , Brazil 、 Russia and India , The number of confirmed cases was second , Also more serious . A few countries have no statistics , So it's blank .