Outputs vary for Koalas Series vs Pandas Series when we have np.nan

The behavior of the Series functions changes when I introduced a np.nan in the series. But Pandas seem to handle this just fine. Some of the functions and their outputs.

def usingSeries():
    s = ks.Series([11, 3, 5, 6, 8,np.nan])
    print(s.max())
    print(s.min())
    print(s.kurtosis())
    print(s.std())

nan
3.0
nan
nan

def usingPdSeries():
    s = pd.Series([11, 3, 5, np.nan, 6, 8])
    print(s.max())
    print(s.min())
    print(s.kurtosis())
    print(s.std())

11.0
3.0
-0.0034686090877542597
3.049590136395381

[floscha]

When running

s = ks.Series([11, 3, 5, 6, 8, np.nan])
print(s.max())
print(s.min())
print(s.kurtosis())
print(s.std())

with Koalas 0.2, I get the following output:

11.0
3.0
-1.0008671522719388
3.0495901363953815

Has this issue been fixed with the latest Koalas release or is something wrong with @akhilanandbv003’s setup?

[shril]

It works fine for me.

>>> s = ks.Series([11, 3, 5, 6, 8, np.nan])
>>> print(s.max())
11.0
>>> print(s.min())
3.0
>>> print(s.kurtosis())
-1.0008671522719395
>>> print(s.std())
3.0495901363953815