python/PyUartAssistantBigData/UartDataPolt.py

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2025-02-13 08:29:55 +08:00
# -*- coding: utf-8 -*-
"""
Created on Tue May 28 15:40:48 2024
@author: WANGXIBAO
"""
# -*- coding: utf-8 -*-
import csv
import math
import os
import re
import time
from PyQt5.QtChart import QChart, QValueAxis, QLineSeries
from PyQt5.QtCore import QThread, pyqtSignal, Qt
from PyQt5.QtGui import QPen
from PyQt5.QtWidgets import QMessageBox
# 波形显示
class QChartViewPlot(QChart):
# 相位振动波形
def __init__(self, parent=None):
super(QChartViewPlot, self).__init__(parent)
self.window = parent
self.xRange = 60
self.counter = 0
self.seriesList = []
self.legend().show()
self.axisX = QValueAxis()
self.axisX.setRange(0, self.xRange)
self.addAxis(self.axisX, Qt.AlignBottom)
# self.setAxisX(self.axisX, series)
# 增加X轴网格设置
self.axisX.setTickCount(13)
grid_pen_x = QPen(Qt.black, 0.5, Qt.DotLine) # 设置网格线的颜色、宽度和样式
self.axisX.setGridLinePen(grid_pen_x)
self.y_min = 0
self.y_max = 100
self.axisY = QValueAxis()
self.axisY.setRange(self.y_min, self.y_max)
self.addAxis(self.axisY, Qt.AlignLeft)
# self.setAxisY(self.axisY, series)
# 增加Y轴网格设置
self.axisY.setTickCount(11)
grid_pen_y = QPen(Qt.black, 0.5, Qt.DotLine) # 设置网格线的颜色、宽度和样式
self.axisY.setGridLinePen(grid_pen_y)
#self.series = QSplineSeries()
self.series = QLineSeries()
self.series.setName("波形")
self.series.setUseOpenGL(True)
self.addSeries(self.series)
self.series.attachAxis(self.axisX)
self.series.attachAxis(self.axisY)
self.curretValue = 0
self.windowAverage =0
self.windowStd = 0
def handle_update(self, ydata):
# 更新y值
if self.counter < self.xRange:
self.series.append(self.counter, ydata)
self.counter += 1
points = self.series.pointsVector()
self.y_min = min(points, key=lambda point: point.y()).y()
self.y_max = max(points, key=lambda point: point.y()).y()
else:
points = self.series.pointsVector()
for i in range(self.xRange - 1):
points[i].setY(points[i + 1].y())
points[-1].setY(ydata)
self.y_min = min(points, key=lambda point: point.y()).y()
self.y_max = max(points, key=lambda point: point.y()).y()
self.series.replace(points)
# 计算总和
total_sum = sum(point.y() for point in points)
# 计算点的数量
num_points = len(points)
# 计算均值,确保除数不为零
self.windowAverage = total_sum / num_points if num_points > 0 else 0
print("windowMean:",self.windowAverage)
# 计算每个点与均值的差的平方,然后求和
variance_sum = sum((point.y() - self.windowAverage) ** 2 for point in points)
# 计算方差,除以数据点的总数
variance = variance_sum / len(points)
self.axisY.setRange(math.floor(self.y_min-0.1),math.ceil( self.y_max+0.1))
# 计算标准差,即方差的平方根
self.windowStd = variance ** 0.5
print("standard_deviation", self.windowStd)
def clearSeries(self):
self.series.clear()
self.counter = 0
# 使用线程不断更新波形数据
class UpdateDataThread(QThread):
_signal_update = pyqtSignal(float) # 信号
def __init__(self, parent=None):
super(UpdateDataThread, self).__init__(parent)
self.is_exit = False
self.x_range = 1024
self.flag = 0
def run(self):
print("run start")
while not self.is_exit: # 直接在循环中检查退出标志
# for i in range(self.x_range):
# print(i,self.sin.get_data(i))
# self._signal_update.emit(str(self.sin.get_data(i))) # 发射信号
# time.sleep(0.01) # 实际应用中推荐使用QTimer代替
# 这里应该有一个 flag 默认是 0 外部调用可以传紧来1没循环完自己置零while 只起到监控左右
if self.flag == 1:
#print("flag",self.flag)
#data = self.setReceiveData
#print("发数",datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S.%f"))
print("data receive ",self.setReceiveData)
# print(f"{data:.3f}")
try:
self._signal_update.emit(self.setReceiveData)
self.flag = 0
except Exception:
QMessageBox.critical(self, '数据异常', '数据格式不对,不能绘图')
pass
def SetReceiveData(self,data_in):
self.setReceiveData = data_in
def SetFlag(self,flag):
self.flag = flag
def SetFilenameCsv(self,filename):
self.filenameCsv = filename
def SetPlotItem(self,ind): #设置显示项目
self.ind = ind
def stop(self):
self.is_exit = True # 设置退出标志
print("停止绘图")
def restart(self):
self.is_exit = False
class GetDataTF(): #读取费加罗或者自定义数据
def __init__(self, parent=None):
super().__init__()
self.indOfReturn =0
self.TIME_FORMAT = "%Y-%m-%d %H:%M:%S"
self.headStr = ""
self.rowTitle=[]
self.csv_buffer = []
def SetConfig(self,config_in):
self.regex= re.compile(config_in[0]) #正则表达
self.headStr = config_in[1]
self.rowTitleStr = config_in[2]
#print(self.rowTitleStr)
self.rowTitle = self.rowTitleStr.split(',')
def Transdata(self,data):
if data[:2] ==self.headStr:
self.data2csv = self.regex.findall(data)
returnData = float(self.data2csv[self.indOfReturn])
print("returnData",returnData)
return returnData
else:
return "noNum"
def SaveCsv(self,filenameCsv,num):
# 打开一个文件用于写入,如果文件不存在则创建
# 增加num 写入文件间隔
if os.path.isfile(filenameCsv) == 0:
# 文件为空,需要写入表头
with open(filenameCsv, mode='w', newline='') as file:
writer = csv.writer(file)
writer.writerow(self.rowTitle)
else:
timeCrvt=time.strftime(self.TIME_FORMAT, time.localtime())
self.data2csv.insert(0, timeCrvt)
print(self.data2csv)
self.csv_buffer.append(self.data2csv)
if len(self.csv_buffer)>= num:
with open(filenameCsv, mode='a', newline='') as file:
# 创建一个写入器对象
writer = csv.writer(file)
# 写入数据行
writer.writerows(self.csv_buffer)
self.csv_buffer.clear()
def IndOfReturn(self,ind):
self.indOfReturn = ind