如何在值系列中用 0 替换 Nan 和 Inf 值

Question

I am making some calculations for series of data as well as variables and am getting some Nan values as well as Infl values.. I am trying to replace these with zeros

I have tried using .fillna(0), but does not seem to make any changes to the results..

Here is what my code is:

HWM_CntrMngFut = np.maximum.accumulate(data.ContrlMngFut_Return) #Compute High Water Marker 
 - the running maximum
DD_CntrMngFut = (HWM_CntrMngFut - data.ContrlMngFut_Return)/HWM_CntrMngFut #Drawdown

DD_CntrMngFut.fillna(0)

MDD_CntrMngFut = np.maximum.accumulate(DD_CntrMngFut) #Maximum Drawdown with control

print ("X is", data.X_MngFut )
print ("HWM is", HWM_CntrMngFut)
print ("DD is", DD_CntrMngFut)
print ("MDD is", MDD_CntrMngFut)


i_CntrMngFut = np.argmax(HWM_CntrMngFut - data.ContrlMngFut_Return)

print ("Maximum Drawdown for Managed Futures Without Control is %",MDD_MngFut[i_MngFut])
print ("Maximum Drawdown for Managed Futures With Control is 
 %",MDD_CntrMngFut[i_CntrMngFut])

Could someone please let me know how to replace all Nan and infl values with zero here?

Data output is coming out as: X is 0 NaN 1 0.000000 2 0.000000 3 -0.583996 4 -0.663946 ...
217 -0.370332 218 -0.671487 219 -0.432080 220 -0.355075 221 -0.899898 Name: X_MngFut, Length: 222, dtype: float64

HWM is 0 0.000000 1 0.000000 2 0.000000 3 0.000000 4 0.000000 ...
217 0.094699 218 0.094699 219 0.094699 220 0.094699 221 0.094699 Name: ContrlMngFut_Return, Length: 222, dtype: float64

DD is 0 NaN 1 NaN 2 NaN 3 inf 4 inf ...
217 1.047079 218 0.789772 219 1.019615 220 1.088973 221 0.661590 Name: ContrlMngFut_Return, Length: 222, dtype: float64

MDD is 0 NaN 1 NaN 2 NaN 3 NaN 4 NaN .. 217 NaN 218 NaN 219 NaN 220 NaN 221 NaN

Any help is greatly appreciated. Thanks

Answer 1

when you are using fillna(), it does not do inplace replacement. so set the inplace parameter to True.

DD_CntrMngFut.fillna(0,inplace=True)

Hope this will work!