mirror of
https://github.com/davidhalter/typeshed.git
synced 2025-12-07 12:44:28 +08:00
25 lines
1.0 KiB
Python
25 lines
1.0 KiB
Python
# Stubs for statistics
|
|
|
|
from decimal import Decimal
|
|
from fractions import Fraction
|
|
import sys
|
|
from typing import Iterable, Optional, TypeVar
|
|
|
|
# Most functions in this module accept homogeneous collections of one of these types
|
|
_Number = TypeVar('_Number', float, Decimal, Fraction)
|
|
|
|
class StatisticsError(ValueError): ...
|
|
|
|
def mean(data: Iterable[_Number]) -> _Number: ...
|
|
if sys.version_info >= (3, 6):
|
|
def harmonic_mean(data: Iterable[_Number]) -> _Number: ...
|
|
def median(data: Iterable[_Number]) -> _Number: ...
|
|
def median_low(data: Iterable[_Number]) -> _Number: ...
|
|
def median_high(data: Iterable[_Number]) -> _Number: ...
|
|
def median_grouped(data: Iterable[_Number]) -> _Number: ...
|
|
def mode(data: Iterable[_Number]) -> _Number: ...
|
|
def pstdev(data: Iterable[_Number], mu: Optional[_Number] = ...) -> _Number: ...
|
|
def pvariance(data: Iterable[_Number], mu: Optional[_Number] = ...) -> _Number: ...
|
|
def stdev(data: Iterable[_Number], xbar: Optional[_Number] = ...) -> _Number: ...
|
|
def variance(data: Iterable[_Number], xbar: Optional[_Number] = ...) -> _Number: ...
|