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aio_first_edtion/aio/current.py

71 lines
2.0 KiB
Python

import openpyxl
from os import scandir
from os.path import exists
from sys import argv
import pandas
def traversal_files(path, w2t):
# 功能:以列表的形式分别返回指定路径下的文件和文件夹,不包含子目录
# 参数:路径
# 返回值:路径下的文件夹列表 路径下的文件列表
if not exists(path):
msg = f'数据文件夹{path}不存在,请确认后重试......'
w2t(msg, 0, 1)
else:
dirs = []
files = []
for item in scandir(path):
if item.is_dir():
dirs.append(item.path)
elif item.is_file():
files.append(item.path)
return dirs, files
def initialization(path, w2t):
_, data_files = traversal_files(path, w2t)
for data_file in data_files:
if not data_file.endswith('.data'):
msg = f"所有文件必须以 .data 结尾,请检查后重新运行。"
w2t(msg, 0, 2)
return data_files
def current_max(data_files, rc, trq, w2t):
for data_file in data_files:
df = pandas.read_csv(data_file, sep='\t')
col = df.columns.values[trq-1]
c_max = df[col].max()
w2t(f"{data_file}: {c_max/1000*rc:.4f}")
w2t("【MAX】数据处理完毕......")
def current_avg(data_files, rc, trq, w2t):
for data_file in data_files:
df = pandas.read_csv(data_file, sep='\t')
col = df.columns.values[trq-1]
c_std = df[col].std()
c_avg = df[col].mean()
w2t(f"{data_file}: {(abs(c_avg)+c_std)/1000*rc:.4f}")
w2t("【AVG】数据处理完毕......")
def main(path, sub, rc, vel, trq, w2t):
data_files = initialization(path, w2t)
if sub == 'max':
current_max(data_files, rc, trq, w2t)
elif sub == 'avg':
current_avg(data_files, rc, trq, w2t)
else:
pass
if __name__ == '__main__':
main(path=argv[1], sub=argv[2], rc=argv[3], vel=argv[4], trq=argv[5], w2t=argv[6])