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Mini Package for Waterfront Engineering Studio(WES) Calculation model, Currently include Greenampt, Gumbel Model Calculation

Project description

Package Name

Package function description

Installation

pip install WES-Calculation

Function and Requirements

import WES_Calculation as wes

Gumbel Function Usage

Gumbel Model Necessary Input Parameter

wes.gumbel(datao, unitx, unitt, i1, i2)

  • datao: 样本数据
    >Input Type: string type
    >Demo Input<string>: '1.55, 1.4, 1.35, 1.26, 1.2, 1.16, 1.1, 1.05, 1.01, 0.97, 0.88, 0.86, 0.82, 0.8, 0.75'
  • unitx: 物理量单位
    > Input Type: string type
    > Demo Input<string>: 'Inch','inch'
  • unitt: 样本数据的时间间隔
  > Input Type: string type
  > Demo Input<string>: 'Year','year'
  • i1: 概率分析的类型
  > Input Type: Int type
  > Explaination:
  >   1 for 极大值
  >   2 for 极小值(Only Two Valid Input)
  > Demo Input: 1
  • i2: 经验估计频率模型
  > Input Type: Int type
  > Explaination:
  >   1 for Weibull
  >   2 for 中值
  >   3 for Gringorton(Only Three Valid Input)
  > Demo Input: 3
  • Output
  > Result: list type
  > Explaination:
  >   plot_url: result graph for input
  >   data: result data for table value
  > Demo Output:
  >   gumbel_result = wes.gumbel(result, unitx, unitt, i1, i2)
  >   plot_url = gumbel_result[0]
  >   data = gumbel_result[1]

License

copyright @ 2021 BDFD

This repository is licensed under the MIT license. See LICENSE for details.

References

https://github.com/bdfd/5.2-PyPi-WES_Calculation

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