2024年3月3日发(作者：苹果官网换电池价目表)
minitableSPC
minitableSPC is a Python library that allows users to create and
manipulate mini tables for Statistical Process Control (SPC) analysis.
SPC is a powerful tool for quality control, used to monitor and control
processes to ensure they are operating within specified limits.
Introduction
Statistical Process Control (SPC) is an approach to quality control
that uses statistical methods to monitor and control a process. It
involves the collection and analysis of data over time, in order to
understand the stability and capability of a process.
minitableSPC aims to provide a simple and efficient way to create
mini tables for SPC analysis. These mini tables are a condensed
representation of the larger dataset and provide key statistical metrics
that are useful for SPC analysis.
Features
•
•
Create mini tables from larger datasets
Calculate statistical metrics such as mean, standard
deviation, range, and control limits
•
•
Visualize the mini table data using plots and charts
Perform SPC analysis on the mini table data
Usage
To use minitableSPC, you will first need to install the library using
pip:
pip install minitableSPC
Once installed, you can import the library into your Python script:
import minitableSPC as mts
Creating a mini table
To create a mini table, you will need a larger dataset. You can either
load the data from a file or create it programmatically. Here is an
example of how to create a mini table from a file:
```python file_path =
发布者：admin，转转请注明出处：http://www.yc00.com/num/1709478445a1630100.html
评论列表（0条）