def update():
'''PDFから感染者の情報を取得し，利用可能なjsonを書き出す
'''
# odfの情報取得
pdf_data = get_data(setting)
# サイトで使う用のデータを書き出す
export_data(pdf_data)
# pdfの全データをjsonとして書き出し
row_data = []
for data in pdf_data:
temp_data = data
if temp_data['revealed_dt'] is None:
temp_data['revealed_dt'] = ''
else:
temp_data['revealed_dt'] = temp_data['revealed_dt'].strftime('%Y-%m-%d')
if temp_data['appearance_dt'] is None:
temp_data['appearance_dt'] = ''
else:
temp_data['appearance_dt'] = temp_data['appearance_dt'].strftime('%Y-%m-%d')
row_data.append(temp_data)
with open(os.path.dirname(os.path.abspath(__file__)) + "/data/row_data.json", "w") as f:
json.dump(row_data, f, indent=4, ensure_ascii=False)
def generate_graphs():
"""Generates the graphs based on the countries from the user input"""
# Grabs json data and User input
json_data = get_data('https://covid2019-api.herokuapp.com/v2/current')
# Generates list of all countries based on json data
countries = [country['location'] for country in json_data]
user_countries = take_user_data()
# Iterates through user countries and raises an error if the user country does not exist
for country in user_countries:
if country not in countries:
raise ValueError('Invalid country')
# Generates a pygal bar graph object
covid_graph = pygal.Bar()
# Sets the x labels of the bar graph to this list
covid_graph.x_labels = ['Confirmed Cases', 'Deaths', 'Recovered']
# Iterates through the user_countries and adds country data to the bar graph
for country in json_data:
if country['location'] in user_countries:
covid_graph.add(country['location'], [
country['confirmed'], country['deaths'], country['recovered']
])
covid_graph.render_to_file('covid_graph.svg')
print('Graph generated as covid_graph.svg')
"""Grabs Coronavirus data and prints it in color to the terminal"""
# External Imports
from termcolor import colored
# Internal Imports
from get_covid_data import get_data
for item in get_data(f'https://covid2019-api.herokuapp.com/v2/current'):
print(
f"{colored(item['location'], 'yellow')} Confirmed: {colored(item['confirmed'], 'blue')},"
f" Deaths: {colored(item['deaths'], 'red')}, Recovered: {colored(item['recovered'], 'green')}"
)
import requests
import numpy as np
import matplotlib.pyplot as plt
from get_covid_data import get_data
json_ = get_data('https://covid2019-api.herokuapp.com/v2/current')
n_groups = len(json_)
location = [item['location'] for item in json_]
confirmed = [item['confirmed'] for item in json_]
deaths = [item['deaths'] for item in json_]
recovered = [item['recovered'] for item in json_]
fig, ax = plt.subplots()
index = np.arange(n_groups)
bar_width = 0.35
opacity = 0.8
rects1 = plt.bar(index, confirmed, bar_width,
alpha=opacity,
color='b',
label='confirmed')
rects3 = plt.bar(index + bar_width, recovered, bar_width,
alpha=opacity,
color='g',
label='recovered')
rects2 = plt.bar(index + bar_width, deaths, bar_width,
alpha=opacity,
color='r',