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version_1_1.py
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version_1_1.py
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# -*- coding: utf-8 -*-
# 一次性把所有信号，所有数据读入到变量self.data中，以后不再打开文件
from PyQt5 import QtCore, QtGui, QtWidgets
import os
from asammdf import MDF
import asammdfgui
import pandas as pd
class Ui_Form(QtWidgets.QWidget):
def setupUi(self, Form):
Form.setObjectName("Form")
Form.resize(599, 468)
self.file_open_button = QtWidgets.QPushButton(Form)
self.file_open_button.setGeometry(QtCore.QRect(60, 20, 75, 23))
self.file_open_button.setObjectName("file_open_button")
self.file_open_button.clicked.connect(self.openfiles)
self.condition_combox = QtWidgets.QComboBox(Form)
self.condition_combox.setGeometry(QtCore.QRect(290, 70, 70, 20))
self.condition_combox.setObjectName("condition_combox")
self.condition_combox.addItems(["step", "range", ">", "="])
self.condition_combox.activated[str].connect(self.condition_select)
self.lower_range = QtWidgets.QLineEdit(Form)
self.lower_range.setGeometry(QtCore.QRect(372, 70, 61, 20))
self.lower_range.setObjectName("lower_range")
self.lower_range.setText("0")
self.upper_range = QtWidgets.QLineEdit(Form)
self.upper_range.setGeometry(QtCore.QRect(460, 70, 61, 20))
self.upper_range.setObjectName("upper_range")
self.upper_range.setText("0")
self.label_2 = QtWidgets.QLabel(Form)
self.label_2.setGeometry(QtCore.QRect(440, 70, 16, 16))
self.label_2.setObjectName("label_2")
self.add_condition_combox = QtWidgets.QComboBox(Form)
self.add_condition_combox.setGeometry(QtCore.QRect(50, 70, 200, 23))
self.add_condition_combox.setObjectName("add_condition_combox")
self.add_condition_combox.addItem("")
self.export_csv_button = QtWidgets.QPushButton(Form)
self.export_csv_button.setGeometry(QtCore.QRect(270, 410, 75, 23))
self.export_csv_button.setObjectName("export_csv_button")
# self.export_csv_button.clicked.connect(self.delete_all_signals)
self.export_csv_button.clicked.connect(self.to_csv)
self.all_signals = QtWidgets.QListWidget(Form)
self.all_signals.setGeometry(QtCore.QRect(10, 150, 256, 192))
self.all_signals.setObjectName("all_signals")
self.all_signals.itemDoubleClicked[QtWidgets.QListWidgetItem].connect(self.select_signal)
self.selected_sig = set() # 选中的信号，不可重复选
self.selected_signals = QtWidgets.QListWidget(Form)
self.selected_signals.setGeometry(QtCore.QRect(320, 150, 256, 192))
self.selected_signals.setObjectName("selected_signals")
self.selected_signals.itemDoubleClicked.connect(self.deselect_signal)
self.all_signals.addItem("hello")
self.retranslateUi(Form)
QtCore.QMetaObject.connectSlotsByName(Form)
def retranslateUi(self, Form):
_translate = QtCore.QCoreApplication.translate
Form.setWindowTitle(_translate("Form", "Form"))
self.file_open_button.setText(_translate("Form", "打开MDF"))
# self.condition_combox.setItemText(0, _translate("Form", "step"))
self.add_condition_combox.setItemText(0, _translate("Form", "信号"))
self.label_2.setText(_translate("Form", "-"))
self.export_csv_button.setText(_translate("Form", "导出csv"))
def openfiles(self):
# 打开单个mdf文件
self.all_signals.clear()
filename, filetype = QtWidgets.QFileDialog.getOpenFileName()
if filename[-3:] not in ["dat", "mdf", "DAT", "MDF"]:
QtWidgets.QMessageBox.about(self, "Message", "文件类型错误")
return
self.mdf_file = MDF(filename, memory="minimum")
channel_list = list(self.mdf_file.channels_db.keys())
channel_list.remove("time")
channel_list.sort()
self.add_condition_combox.addItems(channel_list)
self.all_signals.addItems(channel_list)
# 打开多个mdf文件
# filenames, filetype= QtWidgets.QFileDialog.getOpenFileNames()
# for filename in filenames:
# file = MDF(filename, memory="minimum")
# channel_list = list(file.channels_db.keys())
# channel_list.remove("time") # 多个文件时间可能不同，因此该程序肯定有问题，不管。
# channel_list.sort()
# self.data += file.select(channel_list)
# for channel in channel_list:
# self.all_signals.addItem(channel)
# 打开一个文件夹下的所有mdf文件。但具体是否可行未知,或者把上面程序多运行几遍
# dir = os.listdir(QtWidgets.QFileDialog.getExistingDirectory())
# mdf_files = [mdf_file for mdf_file in dir if mdf_file[-3:] in ["dat", "mdf", "DAT", "MDF"]]
# mdf = MDF()
# mdf.stack(mdf_files, memory='minimum')
# signals = mdf.iter_channels() # generator that yields a Signal for each non-master channel
# for signal in signals:
# self.all_signals.addItem(signal)
def select_signal(self, item):
# print(item.text()) # QtWidgets.QListWidgetItem.text()
# Adding the same QListWidgetItem multiple times to a QListWidget will result in undefined behavior.
if item.text() not in self.selected_sig:
self.selected_signals.addItem(item.text())
self.selected_sig.add(item.text())
def deselect_signal(self):
self.selected_signals.takeItem(self.selected_signals.currentRow())
def delete_all_signals(self):
self.selected_signals.clear()
def condition_select(self, item):
if item in ["step", "range"]:
self.upper_range.show()
self.label_2.show()
elif item in [">", "="]:
self.upper_range.hide()
self.label_2.hide()
else:
pass
def to_csv(self):
condition = self.condition_combox.currentText()
channels = [] # 条件信号
if not (self.lower_range.text().isdigit() and self.upper_range.text().isdigit()):
QtWidgets.QMessageBox.about(self, "Message", "范围错误")
return
lower_range = float(self.lower_range.text())
upper_range = float(self.upper_range.text())
if condition == "step":
signal_samples = self.mdf_file.select(self.add_condition_combox.currentText()).samples
signal_time = self.mdf_file.select(self.add_condition_combox.currentText()).time
print(signal_samples)
print(signal_time)
elif condition == "range":
print(self.lower_range.text())
print(self.upper_range.text())
elif condition == ">":
print(">")
start_time = []
channels.append(self.add_condition_combox.currentText())
try:
signal_samples = self.mdf_file.select(channels)[0].samples
signal_time = self.mdf_file.select(channels)[0].timestamps
except:
print("信号错误")
for i, signal_sample in enumerate(signal_samples):
if signal_sample > lower_range:
start_time.append(i)
elif condition == "=":
print("=")
else:
pass
count = self.selected_signals.count()
items = []
data_dict = {}
for i in range(count):
items.append(self.selected_signals.item(i).text())
signals = self.mdf_file.select(items) # 当存在空数据时，会出错
try:
for signal in signals:
for i in start_time:
data_dict.update({signal.name: signal.samples[i]})
print(data_dict)
for i in start_time:
data_dict.update({"timestamps": signals[0].timestamps[i]})
print(data_dict)
df = pd.DataFrame(data=data_dict)
print("-"*20)
df.to_csv("11.csv", index=False)
except:
print("write error")