这是我当前的功能
def CHEGD_funct(countylist, Clist, Hlist, Elist, Glist, Dlist):
Cdict = pd.DataFrame(list(zip(countylist, Clist)), columns = ['site', 'C'])
Hdict = pd.DataFrame(list(zip(countylist, Hlist)), columns = ['site', 'H'])
Edict = pd.DataFrame(list(zip(countylist, Elist)), columns = ['site', 'E'])
Gdict = pd.DataFrame(list(zip(countylist, Glist)), columns = ['site', 'G'])
Ddict = pd.DataFrame(list(zip(countylist, Dlist)), columns = ['site', 'D'])
Cdf = Cdict.groupby('site').sum()
Hdf = Hdict.groupby('site').sum()
Edf = Edict.groupby('site').sum()
Gdf = Gdict.groupby('site').sum()
Ddf = Ddict.groupby('site').sum()
dataframes = [Cdf, Hdf, Edf, Gdf, Ddf]
mergedf = reduce(lambda left,right: pd.merge(left,right,on=['site'],
how='outer'), dataframes).fillna('void')
return mergedf
这就是输出，这就是我想要的。
type C H E G D
site
Angus 20 92 25 0 0
Angus / East Perthshire 1 8 3 0 0
Argyll 141 995 89 68 7
Ayrshire 71 336 68 17 9
Banffshire 7 86 19 0 0
Banffshire / Moray 2 10 0 0 0
Banffshire / South Aberdeenshire 1 3 0 0 0
Berwickshire 17 84 14 0 1
Caithness 43 374 202 36 5
Clyde Isles 29 142 38 9 5
Dumfriesshire 34 336 69 21 8
Dunbartonshire 38 85 19 10 2
East Inverness-shire & Nairn 162 879 318 45 10
East Inverness-shire & Nairn / Banffshire 1 8 4 0 0
East Inverness-shire / Moray 22 50 23 4 0
East Lothian 22 123 36 16 4
East Perthshire 31 149 79 7 5
East Ross 28 233 65 18 2
East Ross / East Inverness-shire 0 1 0 0 0
East Ross / East Sutherland 1 3 1 0 0
East Sutherland 34 208 71 8 4
Fifeshire 60 355 43 17 1
Kincardineshire 30 160 27 9 1
Kintyre 15 75 11 3 5
Kirkcudbrightshire 21 114 33 4 5
Lanarkshire 94 293 62 25 7
Lanarkshire / Peebleshire 3 7 0 2 0
Mid Ebudes 9 97 30 1 1
Mid Perthshire 46 378 176 26 8
Mid Perthshire / East Perthshire 3 9 3 1 0
Midlothain / Peebleshire 5 23 1 0 0
Midlothian 52 194 47 12 2
Midlothian / Berwickshire 8 20 3 2 1
Moray 60 311 77 11 2
Moray / East Inverness-shire & Nairn 5 14 11 0 1
North Aberdeenshire 38 211 55 10 1
North Ebudes 109 533 207 94 14
Orkney 50 230 126 23 1
Outer Hebrides 26 265 110 29 0
Peebleshire 66 339 114 25 10
Peebleshire / Selkirkshire 0 3 2 0 0
Renfrewshire 76 312 40 39 4
Roxburghshire 76 327 65 21 7
Selkirkshire 28 168 68 3 3
Shetland 57 426 195 13 7
South Aberdeenshire 159 791 320 64 21
South Aberdeenshire / East Perthshire 2 18 12 3 1
South Aberdeenshire / Kincardineshire 1 0 0 0 0
South Aberdeenshire / North Aberdeenshire 0 1 1 0 0
South Ebudes 36 172 38 4 4
Stirlingshire 33 121 26 5 4
West Inverness (Westerness) 0 0 1 0 0
West Inverness-shire 41 443 217 32 3
West Lothian 15 57 11 1 1
West Lothian / Stirlingshire 0 0 0 0 0
West Perthshire 18 107 23 0 1
West Ross 19 277 84 22 2
West Ross / West Sutherland 2 7 2 0 0
West Sutherland 78 610 196 58 4
Wigtownshire 9 46 17 2 1
def CHEGD_funct(countylist, Clist, Hlist, Elist, Glist, Dlist):
# Create a single DataFrame
df = pd.DataFrame(
{"site":countrylist,
"C":Clist,
"H": Hlist,
"E": Elist,
"G": Glist,
"D": Dlist,
})
site_sums = df.groupby("site").sum().reset_index()
return site_sums