Coronavirus Plots

import seaborn as sns
import matplotlib.pyplot as plt
from pandas import read_csv as ReadCSV

DF = ReadCSV('Coronavirus.csv').drop_duplicates(subset=['Country'], keep='last', ignore_index=True)
NonWorldDF = DF[DF['Country'] != 'World']
MeanDF = NonWorldDF[NonWorldDF['Infected'] > NonWorldDF.mean()[0]].sort_values('Deaths').reset_index(drop=True)
infectedRatio = MeanDF['Infected'] / MeanDF['Population']
infectedRadioDensity = MeanDF['Density'] / MeanDF['Infected']


IMG_1 = sns.barplot(y='Country', x='Infected', data=MeanDF, palette='viridis').get_figure()
IMG_1.set_size_inches(25, 11.25)
IMG_1.savefig('Image1.png')

IMG_2 = sns.barplot(y=MeanDF['Country'], x=infectedRatio.values, palette='viridis').get_figure()
IMG_2.set_size_inches(25, 11.25)
IMG_2.savefig('Image2.png')