66 lines
1.6 KiB
Python
66 lines
1.6 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('2020-03-28_11-00.csv', encoding='windows-1252')
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df['dateRep'] = pd.to_datetime(df['dateRep'])
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print(df['dateRep'].head())
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def getAvailableCountries(self):
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return self.df['countriesAndTerritories'].unique()
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def getCasesGraph(self, country) -> 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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fig = plt.figure()
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ax = fig.add_subplot(111)
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countryData = self.df[self.df['countriesAndTerritories'].isin([country])]
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print(countryData['cases'].sum())
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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
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:param date: The date for which the case number is returned. Standard is the current date.
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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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finalData = pd.DataFrame
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countryData.filter(datetime.strptime(country))
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print(finalData)
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return countryData['cases'].sum()
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