1 # Stubs for statistics
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3 from decimal import Decimal
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4 from fractions import Fraction
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6 from typing import Iterable, Optional, TypeVar
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8 # Most functions in this module accept homogeneous collections of one of these types
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9 _Number = TypeVar('_Number', float, Decimal, Fraction)
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11 class StatisticsError(ValueError): ...
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13 def mean(data: Iterable[_Number]) -> _Number: ...
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14 if sys.version_info >= (3, 6):
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15 def harmonic_mean(data: Iterable[_Number]) -> _Number: ...
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16 def median(data: Iterable[_Number]) -> _Number: ...
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17 def median_low(data: Iterable[_Number]) -> _Number: ...
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18 def median_high(data: Iterable[_Number]) -> _Number: ...
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19 def median_grouped(data: Iterable[_Number]) -> _Number: ...
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20 def mode(data: Iterable[_Number]) -> _Number: ...
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21 def pstdev(data: Iterable[_Number], mu: Optional[_Number] = ...) -> _Number: ...
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22 def pvariance(data: Iterable[_Number], mu: Optional[_Number] = ...) -> _Number: ...
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23 def stdev(data: Iterable[_Number], xbar: Optional[_Number] = ...) -> _Number: ...
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24 def variance(data: Iterable[_Number], xbar: Optional[_Number] = ...) -> _Number: ...
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