Extention to the python lib 'mdfreader', for finding/parsing/preprocessing the data from .dat/.mdf files
Project description
mdfreader读取MDF/DAT文件后的常用操作
my_lib.py
封装常用函数，用于机器学习预处理。
1. parse_mdf(filename, columns)
mdfreader常用操作
- filename : dat/mdf文件名
- columns : 需要读取的通道名/缩写
merge_to_pd : 将目标列拼接成带时间戳的DataFrame
keyword_merge_to_pd : 用变量关键字查询并拼接成带时间戳的DataFrame
signal_list_merge_to_pd：参考已知信号列表提取出本文件中存在的信号并拼接成带时间戳的DataFrame
2. pd_parse(content, label)
DataFrame常用操作
- content : DataFrame
- label : 目标标签
trace_back : 添加特征前序时间序列
add_MeanVar ：添加特征前序时间的均值和方差等一系列前序时间内的特征
resample : 用采样时间内的均值重采样
initialize : 初始化，为每一行添加上一时刻或上n时刻的标签值
add_col : 添加时间序列新特征
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