我有4列的时间序列数据,我想GROUPBY列FisherID,DateFishing并且Total_Catch,总结列Weight.此外,我想Total_catch在列重量中减去列中的值,其结果将保留在名为的新列中DIFF.而且,我想在列中DIFF显示高于的值0.1.
这是我的代码.
df["DIFF"]=df.groupby(["FisherID", "DateFishing", "Total_Catch"]) ["Weight"].sum()-["Total_Catch"]>=0.1
我的数据:
FisherID DateFishing Total_Catch Weight
1 24-Oct-11 0.9 0.2
1 24-Oct-11 0.9 0.264
1 24-Oct-11 0.9 0.37
2 25-Oct-11 0.7 0.144
2 27-Oct-11 8.2 0.084
2 27-Oct-11 8.2 0.45
3 27-Oct-11 8.2 0.61
3 27-Oct-11 8.2 7
3 29-Oct-11 0.64 0.184
我试着运行以下代码:
码:
df1=pd.read_excel('F:/MRCS_New_struture/2. EHM_Vanna/2015 Reports/Statistic_Env.xlsx', sheetname='Daitom (2)', header=0, index_col='Year')
CaAB=df1.iloc[:5,17:34]; print CaAB
a=[2007, 2008, 2011, 2013, 2015]
b=[100,200,300,500,22.33]
fig, ax=plt.subplots(2,1)
plt.plot(a, b, 'go-', label='line 1', linewidth=2, ax=ax)
plt.xticks(a, map(str,a))
CaAB.plot(kind='bar', ax=ax)
并且,它生成了错误(TypeError:inner()获得了关键字参数'ax'的多个值).我的代码出了什么问题？