# -*- coding: utf-8 -*-
"""
Project: Analyse worldwide COVID-19 Data and provide graphs etc.

@author Patrick Müller
"""
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import tkinter as tk

"""
Fields in csv:
dateRep
day
month
year
cases
deaths
countriesAndTerritories
geoId
countryterritoryCode
popData2018
"""


class Analyser:
	# Pandas Settings
	pd.set_option('display.max_row', 1000)
	pd.set_option('display.max_column', 10)

	df = pd.read_csv('2020-03-28_11-00.csv', encoding='windows-1252')
	df['dateRep'] = pd.to_datetime(df['dateRep'])

	def getAvailableCountries(self):
		return self.df['countriesAndTerritories'].unique()

	def germany_cases_graph(self):
		fig = plt.figure()
		ax = fig.add_subplot(111)

		germanyData = self.df[self.df['countriesAndTerritories'].isin(['Germany'])]
		print(germanyData)