27 lines
1.2 KiB
Python
27 lines
1.2 KiB
Python
class Uncertainly:
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__slots__ = [
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"average"
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]
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def __init__(self, data: tuple, type_B_uncertain: float, param_tp: float):
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self.average:float = sum(data) / len(data)
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self.length = len(data)
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# def cal_standard_deviation(self):
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data_cut = [datum-self.average for datum in self.input_data]
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self.standard_deviation:float = sum(data_cut) / self.length
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self.type_A_uncertain:float = param_tp * self.standard_deviation / sqrt(self.length)
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self.total_uncertain = 2 * sqrt(self.type_A_uncertain**2 + type_B_uncertain**2)
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self.type_B_uncertain = type_B_uncertain
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def output_std(self):
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print(f"平均为：{data}/{self.length}={self.average}\n")
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# print(f"{self.average}\n")
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print(f"标准差：{self.standard_deviation}")
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print(f"3S区间：[{self.average - 3 * self.standard_deviation},{self.average +3 * self.standard_deviation}]")
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print(f"B类不确定度确认：{self.type_B_uncertain}\n")
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print(f"总不确定度：2 * ✓{self.type_A_uncertain}^2 + {self.type_B_uncertain}^2={self.total_uncertain}")
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print(f"结果表达式为：{self.average}+-{self.total_uncertain}") |