covid-19_plot1.py

#Calculation
#Marginal cases
l = list(df.columns)
l = l[2:]
for i in l:
    df['daily_'+str(i)] = df.groupby(['country'])[str(i)].diff(1).fillna(df[str(i)])
    
#Decrease cumulative
df['current'] = df['cases'] - df['recovered'] - df['deaths']
l.append('current')

#Normalization
nor = df.groupby('country').transform(lambda x: (x - x.min()) / (x.max() - x.min()))
nor = nor[l]
nor = nor.add_prefix('nor_')
df = pd.merge(df, nor, how='left', left_index = True, right_index = True)

#Cumulative
cum = df.groupby('country').transform(lambda x: (x / x.sum()))
cum = cum[l]
cum = cum.add_prefix('cum_')
df = pd.merge(df, cum, how='left', left_index = True, right_index = True)

#Standardization
std = df.groupby('country').transform(lambda x: (x - x.mean()) / x.std())
std = std[l]
std = std.add_prefix('std_')
df = pd.merge(df, std, how='left', left_index = True, right_index = True)