@@ -41,19 +41,19 @@ def get_area(prov):
4141dfclean ["Province" ] = dfclean .apply (lambda r : get_province (r ["prov" ]), axis = 1 )
4242dfclean ["Area" ] = dfclean .apply (lambda r : get_area (r ["prov" ]), axis = 1 )
4343
44- dfuk = dfclean .copy ()
45- dfuk ["Variant" ] = "B.1.1.7 (UK )"
46- dfuk ["Count" ] = dfuk ["b117" ]
44+ dfAlpha = dfclean .copy ()
45+ dfAlpha ["Variant" ] = "B.1.1.7 (Alpha )"
46+ dfAlpha ["Count" ] = dfAlpha ["b117" ]
4747
48- dfsa = dfclean .copy ()
49- dfsa ["Variant" ] = "B.1.351 (South Africa )"
50- dfsa ["Count" ] = dfsa ["b1351" ]
48+ dfBeta = dfclean .copy ()
49+ dfBeta ["Variant" ] = "B.1.351 (Beta )"
50+ dfBeta ["Count" ] = dfBeta ["b1351" ]
5151
52- dfbr = dfclean .copy ()
53- dfbr ["Variant" ] = "P.1 (Brazil )"
54- dfbr ["Count" ] = dfbr ["p1" ]
52+ dfGamma = dfclean .copy ()
53+ dfGamma ["Variant" ] = "P.1 (Gamma )"
54+ dfGamma ["Count" ] = dfGamma ["p1" ]
5555
56- dfvoc = dfuk .append (dfsa ).append (dfbr )
56+ dfvoc = dfAlpha .append (dfBeta ).append (dfGamma )
5757
5858dfvocmax = dfvoc .groupby (["Province" , "Variant" ]).max ().reset_index () \
5959[["Province" , "Variant" , "Count" ]] \
@@ -120,7 +120,7 @@ def create_table(variant):
120120 df_variant = join (df_variant , "CA" , variant )
121121 return df_variant .set_index (date_name ).sort_values (by = [date_name ], ascending = [False ]).round ().astype (int )
122122
123- df_uk = create_table ("b117" )
124- df_sa = create_table ("b1351" )
125- df_br = create_table ("p1" )
123+ df_Alpha = create_table ("b117" )
124+ df_Beta = create_table ("b1351" )
125+ df_Gamma = create_table ("p1" )
126126
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