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: list type
>Demo Input: '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: 'Inch','inch'
- unitt: 样本数据的时间间隔
> Input Type: string type
> Demo Input: '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:
> result = wes.gumbel(datao, unitx, unitt, i1, i2)
> plot_url = result[0]
> data = result[0]
License
copyright @ 2021 BDFD
This repository is licensed under the MIT license. See LICENSE for details.
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