Hopkins

001_Hopkins_world.py

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+import requests, re, json, csv
+import numpy as np
+import pandas as pd
+
+confirmed_CSV_URL = 'https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_19-covid-Confirmed.csv'
+deaths_CSV_URL = 'https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_19-covid-Deaths.csv'
+recovered_CSV_URL = 'https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_19-covid-Recovered.csv'
+
+confirmed_total_data = []
+deaths_total_data = []
+recovered_total_data = []
+
+with requests.Session() as s:    
+    download = s.get(confirmed_CSV_URL)
+    decoded_content = download.content.decode('utf-8')
+    cr = csv.reader(decoded_content.splitlines(), delimiter=',')
+    my_list = list(cr)
+    for row in my_list:
+        confirmed_total_data.append(row)
+
+with requests.Session() as s:
+    download = s.get(deaths_CSV_URL)
+    decoded_content = download.content.decode('utf-8')
+    cr = csv.reader(decoded_content.splitlines(), delimiter=',')
+    my_list = list(cr)
+    for row in my_list:
+        deaths_total_data.append(row)
+
+with requests.Session() as s:
+    download = s.get(recovered_CSV_URL)
+    decoded_content = download.content.decode('utf-8')
+    cr = csv.reader(decoded_content.splitlines(), delimiter=',')
+    my_list = list(cr)
+    for row in my_list:
+        recovered_total_data.append(row)
+
+total_data = []
+date = [i[:-3] for i in confirmed_total_data[0][4:]]
+total_data.append({'date':date})
+total_data
+
+for count in range(1, len(confirmed_total_data)-1):  # len(confirmed_total_data) 464
+    if (confirmed_total_data[count][1] == deaths_total_data[count][1] == recovered_total_data[count][1]):             
+        d = {
+            'name' : confirmed_total_data[count][1],
+            'province/state': confirmed_total_data[count][0],
+            'confirmed': confirmed_total_data[count][4:],
+            'deaths' : deaths_total_data[count][4:],
+            'recovered' : recovered_total_data[count][4:],
+        }
+        total_data.append(d)
+# US sum
+sum_US_confirmed = [0] * len(date) 
+sum_US_deaths = [0] * len(date)
+sum_US_recovered = [0] * len(date)
+
+for i in total_data[1:]:
+    if i['name'] == 'US':
+        for j in range(len(date)):
+            sum_US_confirmed[j] += int(i['confirmed'][j])
+            sum_US_deaths[j] += int(i['deaths'][j])
+            sum_US_recovered[j] += int(i['recovered'][j])
+
+total_data.append({
+    'name' : 'US',
+    'province/state': 'total',
+    'confirmed': sum_US_confirmed,
+    'deaths' : sum_US_deaths,
+    'recovered' : sum_US_recovered,
+})
+
+# UK sum
+sum_UK_confirmed = [0] * len(date) # 55
+sum_UK_deaths = [0] * len(date)
+sum_UK_recovered = [0] * len(date)
+
+for i in total_data[1:] :
+    if i['name'] =='United Kingdom' :
+        for j in range(len(date)) :
+            sum_UK_confirmed[j] += int(i['confirmed'][j])
+            sum_UK_deaths[j] += int(i['deaths'][j])
+            sum_UK_recovered[j] += int(i['recovered'][j])
+
+total_data.append({
+    'name' : 'United Kingdom',
+    'province/state': 'total',
+    'confirmed': sum_UK_confirmed,
+    'deaths' : sum_UK_deaths,
+    'recovered' : sum_UK_recovered,
+})
+
+# Australia sum
+sum_AT_confirmed = [0] * len(date) # 55
+sum_AT_deaths = [0] * len(date)
+sum_AT_recovered = [0] * len(date)
+
+for i in total_data[1:] :
+    if i['name'] =='Australia' :
+        for j in range(len(date)) :
+            sum_AT_confirmed[j] += int(i['confirmed'][j])
+            sum_AT_deaths[j] += int(i['deaths'][j])
+            sum_AT_recovered[j] += int(i['recovered'][j])
+
+total_data.append({
+    'name' : 'Australia',
+    'province/state': 'total',
+    'confirmed': sum_AT_confirmed,
+    'deaths' : sum_AT_deaths,
+    'recovered' : sum_AT_recovered,
+})
+
+# Canada sum
+sum_CA_confirmed = [0] * len(date) # 55
+sum_CA_deaths = [0] * len(date)
+sum_CA_recovered = [0] * len(date)
+
+for i in total_data[1:]:
+    if i['name'] == 'Canada':
+        for j in range(len(date)):
+            sum_CA_confirmed[j] += int(i['confirmed'][j])
+            sum_CA_deaths[j] += int(i['deaths'][j])
+            sum_CA_recovered[j] += int(i['recovered'][j])
+
+total_data.append({
+    'name' : 'Canada',
+    'province/state': 'total',
+    'confirmed': sum_CA_confirmed,
+    'deaths' : sum_CA_deaths,
+    'recovered' : sum_CA_recovered,
+})
+
+# China sum
+sum_CH_confirmed = [0] * len(date) # 55
+sum_CH_deaths = [0] * len(date)
+sum_CH_recovered = [0] * len(date)
+
+for i in total_data[1:]:
+    if i['name'] == 'China':
+        for j in range(len(date)):
+            sum_CH_confirmed[j] += int(i['confirmed'][j])
+            sum_CH_deaths[j] += int(i['deaths'][j])
+            sum_CH_recovered[j] += int(i['recovered'][j])
+
+total_data.append({
+    'name' : 'China',
+    'province/state': 'total',
+    'confirmed': sum_CH_confirmed,
+    'deaths' : sum_CH_deaths,
+    'recovered' : sum_CH_recovered,
+})
+
+# Congo sum
+sum_CO_confirmed = [0] * len(date) # 55
+sum_CO_deaths = [0] * len(date)
+sum_CO_recovered = [0] * len(date)
+
+for i in total_data[1:]:
+    if i['name'] == 'Congo':
+        for j in range(len(date)):
+            sum_CO_confirmed[j] += int(i['confirmed'][j])
+            sum_CO_deaths[j] += int(i['deaths'][j])
+            sum_CO_recovered[j] += int(i['recovered'][j])
+
+total_data.append({
+    'name' : 'Congo',
+    'province/state': 'total',
+    'confirmed': sum_CO_confirmed,
+    'deaths' : sum_CO_deaths,
+    'recovered' : sum_CO_recovered,
+})
+
+# Denmark sum
+sum_DM_confirmed = [0] * len(date) # 55
+sum_DM_deaths = [0] * len(date)
+sum_DM_recovered = [0] * len(date)
+
+for i in total_data[1:]:
+    if i['name'] == 'Denmark':
+        for j in range(len(date)):
+            sum_DM_confirmed[j] += int(i['confirmed'][j])
+            sum_DM_deaths[j] += int(i['deaths'][j])
+            sum_DM_recovered[j] += int(i['recovered'][j])
+
+total_data.append({
+    'name' : 'Denmark',
+    'province/state': 'total',
+    'confirmed': sum_DM_confirmed,
+    'deaths' : sum_DM_deaths,
+    'recovered' : sum_DM_recovered,
+})
+
+# France sum
+sum_FR_confirmed = [0] * len(date) # 55
+sum_FR_deaths = [0] * len(date)
+sum_FR_recovered = [0] * len(date)
+
+for i in total_data[1:]:
+    if i['name'] == 'France':
+        for j in range(len(date)):
+            sum_FR_confirmed[j] += int(i['confirmed'][j])
+            sum_FR_deaths[j] += int(i['deaths'][j])
+            sum_FR_recovered[j] += int(i['recovered'][j])
+
+total_data.append({
+    'name' : 'France',
+    'province/state': 'total',
+    'confirmed': sum_FR_confirmed,
+    'deaths' : sum_FR_deaths,
+    'recovered' : sum_FR_recovered,
+})
+
+# Netherlands sum
+sum_NE_confirmed = [0] * len(date) # 55
+sum_NE_deaths = [0] * len(date)
+sum_NE_recovered = [0] * len(date)
+
+for i in total_data[1:]:
+    if i['name'] == 'Netherlands':
+        for j in range(len(date)):
+            sum_NE_confirmed[j] += int(i['confirmed'][j])
+            sum_NE_deaths[j] += int(i['deaths'][j])
+            sum_NE_recovered[j] += int(i['recovered'][j])
+
+total_data.append({
+    'name' : 'Netherlands',
+    'province/state': 'total',
+    'confirmed': sum_NE_confirmed,
+    'deaths' : sum_NE_deaths,
+    'recovered' : sum_NE_recovered,
+})
+with open('Hopkins_world.js', 'w', encoding='utf-8') as make_file :
+    json.dump(total_data, make_file, indent="\t")