#!/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())
