Multiple MEAN value using FOR loop

[kka_anand]

I get different output if called,

First Option it returns 3 values rather than 2 (duplicate of MEAN(5))
#1
--
ndays = ([5, 8])
meanALL = []

for n in ndays:
meanALL.append(df.rolling(window=n).Price.mean().groupby('Name').head(n).dropna())
print(meanALL)


OUTPUT

[Name
xyz 261.595
Name: Price, dtype: float64]
[Name
xyz 261.595
Name: Price, dtype: float64, Name
xyz 266.723333
Name: Price, dtype: float64]

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Second Option it returns 1 value (only MEAN(5))rather than 2
#2
==
def funct1(ndays):

SMA = []

for n in ndays:

meanALL.append(df.rolling(window=n).Price.mean().groupby('Name').head(n).dropna())
return meanALL


print(funct1([5, 8]))

OUTPUT

[Name
xyz 261.595
Name: Price, dtype: float64]