BUG: strange behaviour in quantile with group by

[abdullahodibat]

is this a bug in pandas? why null values in the grouped by field break the quantile?

df = pd.DataFrame({
    'category': ['A', 'A', 'A', 'A', 'A', 'A', 'B', 'B', 'B', 'B', 'B', 'B'],
    'value': [1, 2, 3, 4, 5, 6, 1, 2, 3, 4, 5, 6]
})
quantiles = df.groupby('category')['value'].quantile(0.75)
print(quantiles)

df2 = pd.DataFrame({
    'category': ['A', 'A', 'A', 'A', 'A', 'A', 'B', 'B', 'B', 'B', 'B', 'B', np.nan],
    'value': [1, 2, 3, 4, 5, 6, 1, 2, 3, 4, 5, 6,1]
})
quantiles2 = df2.groupby('category')['value'].quantile(0.75)
print(quantiles2) 

produces this output:

category
A    4.75
B    4.75
Name: value, dtype: float64
category
A    3.75
B    3.75
Name: value, dtype: float64

im using pandas 1.0.3

[simonjayhawkins]

Thanks @abdullahodibat for the report. duplicate of #33200 (comment)

im using pandas 1.0.3

this is a regression between 0.24 and 0.25 (#20405)