我有两个 pandas DataFrames -在列weight
上有一个简单的索引Land Use
。在和concentration
上有一个 MultiIndex 。Land Use
Parameter
import pandas
from io import StringIO
conc_string = StringIO("""\
Land Use,Parameter,1E,1N,1S,2
Airfield,BOD5 (mg/l),0.418,0.118,0.226,1.063
Airfield,Ortho P (mg/l),0.002,0.001,0.001,0.002
Airfield,TSS (mg/l),1.773,11.47,0.862,0.183
Airfield,Zn (mg/l),0.001,0.001,4.95E-05,0.001
"Commercial",BOD5 (mg/l),0.036,0.0419,,0.315
"Commercial",Cu (mg/l),4.37E-05,7.34E-05,,0.00039
"Commercial",O&G (mg/l),0.0385,0.127,,0.263
Open Space,TSS (mg/l),0.371,3.01,1.209,0.147
Open Space,Zn (mg/l),0.0127,0.0069,0.0132,0.007
"Parking Lot",BOD5 (mg/l),0.924,0.0668,2.603,3.19
"Parking Lot",O&G (mg/l),1.02,0.149,1.347,1.88
"Rooftops",BOD5 (mg/l),0.135,1.00,0.0562,0.310""")
weight_string = StringIO("""\
Land Use,1E,1N,1S,2
Airfield,0.511,0.0227,0.0616,0.394
Commercial,0.0005,0.1704,0,0.1065
Open Space,0.0008,0.005,0.0002,0.0004
"Parking Lot",0.33,0.514,0.252,0.171
Rooftops,0.081,0.028,8.50E-05,0.003""")
concentration = pandas.read_csv(conc_string, index_col=[0,1])
weight = pandas.read_csv(weight_string, index_col=0)
在这种情况下,列(1E、1N、1S 和 2)是流域。
我想做的是将所有浓度除以Parameter
盆地(列名)和Land Use
.
我在这里运气不太好。concentration / weight
肯定行不通。我没有太多运气堆叠数据框并加入
wstk = pandas.DataFrame(weight.stack())
wstk.index.names = ['Land Use', 'Basin']
wstk.rename(columns={0:'weight'}, inplace=True)
cstk = pandas.DataFrame(concentration.stack())
cstk.index.names = ['Land Use', 'Parameter', 'Basin']
cstk.rename(columns={0:'concentration'}, inplace=True)
wstk.join(cstk, on=['Land Use', 'Basin']) # fails
cstk.join(wstk, on=['Land Use', 'Basin']) # fails
on
当我离开kwarg时,最后两行不会引发错误,而是返回NaN
连接列的结果。如果我将索引放在两个堆叠的 DataFrame 上,它们也会失败(例如,wstk.reset_index(inplace=True)
在连接之前执行)。
有什么建议么?