【发布时间】：2018-09-23 14:11:57
【问题描述】：
我在 QtCreator 5 中制作了一个 UI。然后，我将 UI 文件“Odor.ui”转换为“ui-main.py”。然后我使用 Anaconda 框架在 Upiter Notebook 中编写了一个计算部分。什么时候，我编译这段代码
import os
import sys
import pandas as pd
import numpy
import scipy.stats
import xlsxwriter
import re
from PyQt5.QtWidgets import QApplication, QMainWindow, qApp, QWidget, QInputDialog, QLineEdit, QFileDialog, QMessageBox, QTableWidgetItem, QHeaderView
from PyQt5.QtCore import Qt, QEvent, QObject
from PyQt5.QtCore import pyqtSlot
from PyQt5 import QtGui
from ui_main import Ui_MainWindow
from os import walk
from os.path import expanduser as ospath
import glob
from time import gmtime, strftime
class MyMainWindow(QMainWindow, Ui_MainWindow):
def __init__(self, parent=None):
super(MyMainWindow, self).__init__(parent)
qApp.installEventFilter(self)
self.setupUi(self)
self.dataChooseBtn.clicked.connect(self.selectFile)
self.saveSample_btn.clicked.connect(self.saveSample)
self.data_processing.clicked.connect(self.process)
self.string_processing.clicked.connect(self.processString)
self.saveSampleString.clicked.connect(self.saveSampleStr)
self.refreshSample()
self.refreshSamples.clicked.connect(self.refreshSample)
self.refreshSample_2()
self.refreshSamples_2.clicked.connect(self.refreshSample_2)
self.show()
def eventFilter(self, obj, event):
if event.type() == QEvent.KeyPress:
if event.key() == Qt.Key_Escape:
self.close()
return super(MyMainWindow, self).eventFilter(obj, event)
@pyqtSlot()
def accept(self):
textboxValue = self.paramInput_field_2.text()
QMessageBox.information(self, 'Message', "Значения параметрического столбца: " + textboxValue, QMessageBox.Ok, QMessageBox.Ok)
def selectFile(self):
self.fileName = None
options = QFileDialog.Options()
options |= QFileDialog.DontUseNativeDialog
fileName, _ = QFileDialog.getOpenFileName(self,"Выберите стандартизированную выборку", "./Unprocessed samples","All Files (*);;Python Files (*.py)", options=options)
if fileName:
self.fileName = fileName
def process(self):
sample_param = pd.read_excel(self.fileName, header = None, sheetname = 1)
param = sample_param[0].tolist()
sample = pd.read_excel(self.fileName, sheetname = 0)
list_of_index = []
for i in range(len(sample.columns)):
sample2 = sample.iloc[:, lambda sample: [i]]
sample2 = sample2.columns[0]
list_of_index.append(sample2)
list_of_index
fulllist = []
for i in list_of_index:
sample3 = sample[i].tolist()
fulllist.append(sample3)
fulllist_percent = []
column_percent = []
len(fulllist)
for i in range(len(fulllist)):
for j in range(len(fulllist[i])):
percent_rank = scipy.stats.percentileofscore(fulllist[i], fulllist[i][j])
column_percent.append(percent_rank)
fulllist_percent.append(column_percent)
column_percent = []
fulllist_rank = []
for i in range(len(fulllist)):
rank = len(fulllist[i]) - scipy.stats.rankdata(fulllist[i]) + 1
fulllist_rank.append(rank)
param_rank = scipy.stats.rankdata(param).astype(int)
column_corr = []
for i in range(len(fulllist)):
correlation = scipy.stats.spearmanr(param_rank[::-1], fulllist_rank[i])
column_corr.append(correlation[0])
fulllist_click = []
for j in range (len(fulllist_percent)):
middle = []
if column_corr[j] > 0:
for i in range(len(fulllist_percent[j])):
solve = column_corr[j] * fulllist_percent[j][i]
middle.append(solve)
else:
for i in range (len(fulllist_percent[j])):
solve = abs(column_corr[j]) * (100 - fulllist_percent[j][i])
middle.append(solve)
fulllist_click.append(middle)
list_of_rowsumm = []
rowsumm = 0
fulllist_clickT = numpy.asarray(fulllist_click).T.tolist()
for i in range(len(fulllist_clickT)):
rowsumm = sum(fulllist_clickT[i])
list_of_rowsumm.append(rowsumm)
percent_rowsumm = []
for i in list_of_rowsumm:
x = scipy.stats.percentileofscore(list_of_rowsumm, i)
percent_rowsumm.append(x)
validity = scipy.stats.pearsonr(list_of_rowsumm, param)
validity = validity[0]
additional_info = []
additional_info.append(list_of_rowsumm)
additional_info.append(percent_rowsumm)
additional_info.append(param)
self.fulllist = fulllist
self.fulllist_percent = fulllist_percent
self.fulllist_click = fulllist_click
self.additional_info = additional_info
self.validity = validity
return self.fulllist, self.fulllist_percent, self.fulllist_click, self.additional_info, self.validity
def saveSample(self):
options = QFileDialog.Options()
options |= QFileDialog.DontUseNativeDialog
fileNameSave, _ = QFileDialog.getSaveFileName(self,"Сохранить данные выборки","./Samples","Excel files (*.xlsx)", options=options)
workbook = xlsxwriter.Workbook(fileNameSave + ' ['+ str(round(self.validity, 3)) + ', ' + str(len(self.fulllist)) + ', ' + str(len(self.fulllist[0])) + ']' + ".xlsx")
worksheet1 = workbook.add_worksheet()
worksheet2 = workbook.add_worksheet()
worksheet3 = workbook.add_worksheet()
worksheet4 = workbook.add_worksheet()
row = 0
for col, data in enumerate(self.fulllist):
worksheet1.write_column(row, col, data)
for col, data in enumerate(self.fulllist_percent):
worksheet2.write_column(row, col, data)
for col, data in enumerate(self.fulllist_click):
worksheet3.write_column(row, col, data)
for col, data in enumerate(self.additional_info):
worksheet4.write_column(row, col, data)
workbook.close()
def processString(self):
check = self.stringInput_field.toPlainText()
check = [float(i) for i in check.replace(',', '.').split()]
index = self.sampleChoose_list.selectedIndexes()[0].row()
sample_path = self.sample_directory[1][index]
sample_param = pd.read_excel(ospath(sample_path), header = None, sheetname = 3)
param = sample_param[2].tolist()
param_rank = scipy.stats.rankdata(param).astype(int)
sample_2 = pd.read_excel(ospath(sample_path), header = None, sheetname = 0)
fulllist_new = []
for i in range(len(sample_2.columns)):
column_new = sample_2[i].tolist()
fulllist_new.append(column_new)
for i in range(len(check)):
fulllist_new[i][0] = check[i]
fulllist_percent_new = []
column_percent_new = []
for i in range(len(fulllist_new)):
for j in range(len(fulllist_new[i])):
percent_rank = scipy.stats.percentileofscore(fulllist_new[i], fulllist_new[i][j])
column_percent_new.append(percent_rank)
fulllist_percent_new.append(column_percent_new)
column_percent_new = []
fulllist_rank_new = []
for i in range(len(fulllist_new)):
rank = len(fulllist_new[i]) - scipy.stats.rankdata(fulllist_new[i]) + 1
fulllist_rank_new.append(rank)
column_corr_new = []
for i in range(len(fulllist_new)):
correlation = scipy.stats.spearmanr(param_rank[::-1], fulllist_rank_new[i])
column_corr_new.append(correlation[0])
fulllist_click_new = []
for j in range (len(fulllist_percent_new)):
middle = []
if column_corr_new[j] > 0:
for i in range(len(fulllist_percent_new[j])):
solve = column_corr_new[j] * fulllist_percent_new[j][i]
middle.append(solve)
else:
for i in range (len(fulllist_percent_new[j])):
solve = abs(column_corr_new[j]) * (100 - fulllist_percent_new[j][i])
middle.append(solve)
fulllist_click_new.append(middle)
check_click = []
for i in range(len(check)):
if column_corr_new[i] > 0:
click = fulllist_percent_new[i][0] * column_corr_new[i]
check_click.append(click)
elif column_corr_new[i] < 0:
click = abs(column_corr_new[i]) * (100 - fulllist_percent_new[i][0])
check_click.append(click)
len(check_click)
list_of_rowsumm_new = []
rowsumm = 0
fulllist_click_newT = numpy.asarray(fulllist_click_new).T.tolist()
for i in range(len(fulllist_click_newT)):
rowsumm = sum(fulllist_click_newT[i])
list_of_rowsumm_new.append(rowsumm)
percent_rowsumm_new = []
for i in list_of_rowsumm_new:
x = scipy.stats.percentileofscore(list_of_rowsumm_new, i)
percent_rowsumm_new.append(x)
validity_new = scipy.stats.pearsonr(list_of_rowsumm_new[1:], param[1:])
validity_new = validity_new[0]
validity_list = []
validity_list.append(validity_new)
additional_info_new = []
additional_info_new.append(list_of_rowsumm_new)
additional_info_new.append(percent_rowsumm_new)
additional_info_new.append(validity_list)
additional_info_new.append(param)
self.fulllist_new = fulllist_new
self.fulllist_percent_new = fulllist_percent_new
self.fulllist_click_new = fulllist_click_new
self.additional_info_new = additional_info_new
self.validity_new = validity_new
return self.fulllist_new, self.fulllist_percent_new, self.fulllist_click_new, self.additional_info_new, self.validity_new
def saveSampleStr(self):
time = strftime("%d:%m:%Y %H-%M", gmtime())
options = QFileDialog.Options()
options |= QFileDialog.DontUseNativeDialog
fileNameSave, _ = QFileDialog.getSaveFileName(self,"Сохранить обработанную строку","./Processed","Excel files (*.xlsx)", options=options)
workbook = xlsxwriter.Workbook(fileNameSave + ' (' + time + ')' + ".xlsx")
worksheet1 = workbook.add_worksheet()
worksheet2 = workbook.add_worksheet()
worksheet3 = workbook.add_worksheet()
worksheet4 = workbook.add_worksheet()
row = 0
for col, data in enumerate(self.fulllist_new):
worksheet1.write_column(row, col, data)
for col, data in enumerate(self.fulllist_percent_new):
worksheet2.write_column(row, col, data)
for col, data in enumerate(self.fulllist_click_new):
worksheet3.write_column(row, col, data)
for col, data in enumerate(self.additional_info_new):
worksheet4.write_column(row, col, data)
workbook.close()
def refreshSample(self):
sample_directory = []
sample_files = []
for (dirpath, dirnames, filenames) in walk('./Samples'):
filenames = [f for f in filenames if not f[0] == '.']
sample_files.extend(filenames)
break
the_dir = "Samples"
paths = [os.path.abspath(os.path.join(the_dir,filename)) for filename in os.listdir(the_dir) if not filename.startswith('.')]
sample_directory.append(sample_files)
sample_directory.append(paths)
self.sample_directory = sample_directory
self.sampleChoose_list.clear()
self.sampleChoose_list.addItems(sample_directory[0])
self.sampleChoose_list.setSortingEnabled(True);
self.sampleChoose_list.sortItems()
return self.sample_directory
def refreshSample_2(self):
sample_directory_2 = []
sample_files_2 = []
for (dirpath, dirnames, filenames) in walk('./Processed'):
filenames = [f for f in filenames if not f[0] == '.']
sample_files_2.extend(filenames)
break
the_dir = "Processed"
paths_2 = [os.path.abspath(os.path.join(the_dir,filename)) for filename in os.listdir(the_dir) if not filename.startswith('.')]
sample_directory_2.append(sample_files_2)
sample_directory_2.append(paths_2)
processed_info = []
for i in range(len(sample_directory_2[0])):
file_info = []
sample_file_2 = sample_directory_2[0][i]
sample_path_2 = sample_directory_2[1][i]
sample_info_2 = pd.read_excel(ospath(sample_path_2), header = None, sheetname = 3)
sample_info_2 = sample_info_2.iloc[0][0:3]
file_info.append(sample_file_2)
sample_info_2_list = numpy.array(sample_info_2).tolist()
file_info.extend(sample_info_2_list)
processed_info.append(file_info)
self.clickSample_list.setRowCount(len(processed_info))
self.clickSample_list.setColumnCount(4)
labels = ['Имя', 'Массовые отклики', 'Процентранг, %', 'Валидность']
self.clickSample_list.setHorizontalHeaderLabels(labels)
red = QtGui.QColor(255, 5, 5);
orange = QtGui.QColor(255, 157, 0);
blue = QtGui.QColor(0, 46, 255);
for row in range(len(processed_info)):
for column in range(len(processed_info[row])):
self.clickSample_list.setItem(row, column, QTableWidgetItem(str(processed_info[row][column])))
if column == 2:
if processed_info[row][column] > 85:
color = red;
if processed_info[row][column] > 65 and processed_info[row][column] < 85:
color = orange;
if processed_info[row][column] < 65:
color = blue;
self.clickSample_list.item(row, column).setBackground(color);
self.clickSample_list.horizontalHeader().setSectionResizeMode(QHeaderView.Stretch)
if __name__ == '__main__':
app = QApplication(sys.argv)
win = MyMainWindow()
sys.exit(app.exec_())
我的应用程序在窗口中启动，UI 由from ui_main import Ui_MainWindow. 加载我的问题是，如何制作桌面应用程序？我需要在特殊的 Qt5 创建者文件中执行此操作吗？还是可以从 Anaconda 的 .ipynb 文件中提取出来？我正在尝试制作 MacO 和 Windows 版本，但我对应用程序构建和编程还很陌生，不知道如何开始。
【问题讨论】：
标签： python qt pyqt anaconda desktop-application