112 lines
3.2 KiB
Python
112 lines
3.2 KiB
Python
# -*- coding: utf-8 -*-
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"""
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Project: Analyse worldwide COVID-19 Data and provide graphs etc.
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@author Patrick Müller
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"""
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import numpy as np
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import pandas as pd
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import matplotlib.pyplot as plt
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import tkinter as tk
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"""
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Fields in csv:
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dateRep
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day
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month
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year
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cases
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deaths
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countriesAndTerritories
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geoId
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countryterritoryCode
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popData2018
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"""
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from datetime import datetime, timedelta
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class Analyser:
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# Pandas Settings
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pd.set_option('display.max_row', 50)
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pd.set_option('display.max_column', 10)
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df = pd.read_csv('statsfile.csv')
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df['dateRep'] = pd.to_datetime(df['dateRep'])
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def getAvailableCountries(self):
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return self.df['countriesAndTerritories'].unique()
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def getCasesGraph(self, country, start_date='2019-12-31', end_date=datetime.now().strftime('%Y-%m-%d')) -> str:
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"""
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Get a graph with the absolute number of cases by day for the entered country
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:param country: The country you wish to get the graph for
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:return: The path for the picture of the graph
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"""
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if country in self.getAvailableCountries():
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fig = plt.figure()
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ax = fig.add_subplot(111)
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# casesPerDayDict = {}
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# for date in self.df['dateRep']:
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# casesPerDayDict[date] = self.getTotalCases(country, date)
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countryData = self.df[self.df['countriesAndTerritories'].isin([country])]
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mask = (countryData['dateRep'] > start_date) & (countryData['dateRep'] <= end_date)
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countryTimeData = countryData.loc[mask]
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countryTimeData = countryTimeData.sort_values('dateRep')
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countryTimeData['cases'] = countryTimeData['cases'].cumsum()
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print(countryTimeData.head())
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countryTimeData.plot(ax=ax, x='dateRep', y='cases')
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plt.show(block=True)
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# TODO Change return
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return 'abc'
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else:
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print('Unknown country')
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# TODO Change return
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return 'abc'
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def getCaseIncreaseGraph(self, country):
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"""
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Get a graph with the daily increase number of cases for the entered country
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:param country: The country you wish to get the graph for
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:return: The path for the picture of the graph
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"""
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if country in self.getAvailableCountries():
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fig = plt.figure()
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ax = fig.add_subplot(111)
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# casesPerDayDict = {}
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# for date in self.df['dateRep']:
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# casesPerDayDict[date] = self.getTotalCases(country, date)
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countryData = self.df[self.df['countriesAndTerritories'].isin([country])]
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mask = (countryData['dateRep'] <= datetime.now().strftime('%Y-%m-%d'))
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countryTimeData = countryData.loc[mask]
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countryTimeData.plot(ax=ax, x='dateRep', y='cases')
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plt.show(block=True)
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# TODO Change return
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return 'abc'
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else:
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print('Unknown country')
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# TODO Change return
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return 'abc'
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def getTotalCases(self, country, date=datetime.now().strftime('%Y-%m-%d')) -> int:
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"""
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Get the current total cases for the entered country
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:param country: The country you want the case number for. Access available countries via getAvailableCountries()
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:param date: The date for which the case number is returned. Standard is the current date. Format YYYY-MM-DD
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:return: The case number
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"""
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countryData = self.df[self.df['countriesAndTerritories'].isin([country])]
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mask = (countryData['dateRep'] <= date)
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countryTimeData = countryData.loc[mask]
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return countryTimeData['cases'].sum()
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