#!/usr/bin/env python # coding: utf-8 # In[1]: from covid import Covid # In[3]: instance = Covid() # In[4]: instance.get_data() # In[6]: instance.get_status_by_country_name("India") # In[ ]:
# PYTHON 3.7 # BY XnuversXploitXen from covid import Covid import matplotlib.pyplot as pyplot import time from datetime import datetime from datetime import date import time covid = Covid() print(''' ============================================================================== __ __ __ __ _ _ _ __ __ \ \/ /_ __ _ ___ _____ _ __ ___\ \/ /_ __ | | ___ (_) |_\ \/ /___ _ __ \ /| '_ \| | | \ \ / / _ \ '__/ __|\ /| '_ \| |/ _ \| | __|\ // _ \ '_ \ / \| | | | |_| |\ V / __/ | \__ \/ \| |_) | | (_) | | |_ / \ __/ | | | /_/\_\_| |_|\__,_| \_/ \___|_| |___/_/\_\ .__/|_|\___/|_|\__/_/\_\___|_| |_| |_| ============================================================================== ''') d = 'Hari (Day) = ' e = 'Bulan ke (Months) = ' f = 'Tahun (Year) = ' hari_ini = datetime.now() tanggal = hari_ini.strftime(d + '%d, ' + e + '%m, ' + f + '%y') print(tanggal)
from flask import Flask, request, jsonify from covid import Covid from flask_cors import CORS import json c = Covid(source="worldometers") app = Flask(__name__) """ This will provide the summary of all the available countries """ @app.route('/') def get_status(): data = c.get_data() data = [{ 'country': d['country'], 'confirmed': d['confirmed'], 'active': d['active'], 'deaths': d['deaths'], 'Recovery Rate': round(d['recovered'] / d['confirmed'], 4), 'Percentage of Population Infected': round(d['confirmed'] / int(d['population']), 4) } for d in data if int(d['population']) > 0]
def showdata(): # importing matplotlib which will be used to show data graphically from matplotlib import pyplot as plt # to scale the data we are importing patches import matplotlib.patches as mpatches # importing covid library from covid import Covid # initializing covid library covid = Covid() # declaring empty lists to store different data sets cases = [] confirmed = [] active = [] deaths = [] recovered = [] # using try and except to run program without errors try: # updating root root.update() # getting countries names entered by the user countries = data.get() # removing white spaces from the start and end of the string country_names = countries.strip() # replacing white spaces with commas inside the string country_names = country_names.replace(" ", ",") # splitting the string to store names of countries # as a list country_names = country_names.split(",") # for loop to get all countries data for x in country_names: # appending countries data one-by-one in cases list # here, the data will be stored as a dictionary # for one country i.e. for each country # there will be one dictionary in the list # which will contain the whole information # of that country cases.append(covid.get_status_by_country_name(x)) # updating the root root.update() # for loop to get one country data stored as dict in list cases for y in cases: # storing every Country's confirmed cases in the confirmed list confirmed.append(y["confirmed"]) # storing every Country's active cases in the active list active.append(y["active"]) # storing every Country's deaths cases in the deaths list deaths.append(y["deaths"]) # storing every Country's recovered cases in the recovered list recovered.append(y["recovered"]) # marking the color information on scaleusing patches confirmed_patch = mpatches.Patch(color='green', label='confirmed') recovered_patch = mpatches.Patch(color='red', label='recovered') active_patch = mpatches.Patch(color='blue', label='active') deaths_patch = mpatches.Patch(color='black', label='deaths') # plotting the scale on graph using legend() plt.legend(handles=[ confirmed_patch, recovered_patch, active_patch, deaths_patch ]) # showing the data using graphs # this whole for loop section is related to matplotlib for x in range(len(country_names)): plt.bar(country_names[x], confirmed[x], color='green') if recovered[x] > active[x]: plt.bar(country_names[x], recovered[x], color='red') plt.bar(country_names[x], active[x], color='blue') else: plt.bar(country_names[x], active[x], color='blue') plt.bar(country_names[x], recovered[x], color='red') plt.bar(country_names[x], deaths[x], color='black') # setting the title of the graph plt.title('Current Covid Cases') # giving label to x direction of graph plt.xlabel('Country Name') # giving label to y direction of graph plt.ylabel('Cases(in millions)') # showing the full graph plt.show() except Exception as e: # asking user to enter correct details # during entering the country names on GUI # please differentiate the country names # with spaces or comma but not with both # otherwise you will come to this section data.set("Enter correct details again")
import os import sys current_dir = os.path.abspath(os.path.dirname(__file__)) sys.path.append(os.path.abspath(current_dir + "/../service")) from covid import Covid if __name__=="__main__": # print("Hello World!") obj_covid = Covid() var_meninggal = obj_covid.get_meninggal() print(var_meninggal)
from covid import Covid c = Covid() print(c.list_countries())