Pandas DataFrame TypeError: quantile() missing 1 required positional argument: 'quantile'?

Question

data

data = [
    {"content": "1", "title": "app sotre", "info": "", "time": 1578877014},
    {"content": "2", "title": "app", "info": "", "time": 1579877014},
    {"content": "3", "title": "pandas", "info": "", "time": 1582877014},
    {"content": "12", "title": "a", "info": "", "time": 1582876014},
    {"content": "33", "title": "apple", "info": "", "time": 1581877014},
    {"content": "16", "title": "banana", "info": "", "time": 1561877014},
    {"content": "aa", "title": "banana", "info": "", "time": 1582876014},
]

my code

df = pd.DataFrame(data)
df['content'] = pd.to_numeric(df['content'], errors='coerce')
print('-----')
print(df['content'].rolling(2).quantile())

raise error :TypeError: quantile() missing 1 required positional argument: 'quantile'

user_2901002 · Answer

I think problem is no default quantile in Rolling.quantile:

print(df['content'].rolling(2).quantile(0.5))

But if check all another methods there is always default quantile:

Series.quantile, DataFrame.quantile, DataFrameGroupBy.quantile, Resampler.quantile.

Pandas DataFrame TypeError: quantile() missing 1 required positional argument: 'quantile'?

1 Answers