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
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
WES_Calculation-1.3.5.tar.gz
(22.7 kB
view hashes)
Built Distribution
Close
Hashes for WES_Calculation-1.3.5-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | d2e4de5831c9ae0b2e2a0ab66b48c7cacfff5a3de79075681c5d4585f6452734 |
|
MD5 | 98c0c3ecd2526e26abde7c2a6c4c2054 |
|
BLAKE2b-256 | 86e5c9f9c91c7c5408db519d49c8caf2583588b36a4af056b1bf0f231856f405 |