I wrote a simple program using PyQt5. I used also th Pynsist to make it execute on other computers. every thing was good, but the problem was when I try to execute the application from the Start Menu! it opens a console and close it very fast.
I made a long search and i tried to do what others did, but i still have the same problem!
This is a part of my code:
import os, sys
import array
import numpy as np
import matplotlib.pyplot as plt
from pandas import read_csv
## second part of import
from PyQt5 import QtWidgets, uic,QtGui,QtCore
from ui import test1
import gc
import statistics
class window(test1.Ui_MainWindow,QtWidgets.QMainWindow):
x1=[]
x2 = []
h=[]
x1_1 = []
x1_20 = []
x_cor = []
x_graph = []
x_cal = []
x_cal_squ =[]
x_cal_mul = []
def __init__(self):
super(window,self).__init__()
self.setupUi(self)
self.All()
def All(self):
self.toolButton.clicked.connect(self.select_file)
self.pushButton.clicked.connect(self.correcting)
self.toolButton_2.clicked.connect(self.graphic_show)
self.pushButton_3.clicked.connect(self.checked_data)
self.pushButton_4.clicked.connect(self.calculate)
def select_file(self):
if not self.lineEdit.text() == "" and not self.lineEdit_2.text() == "" and not self.lineEdit_3.text() == "":
if self.lineEdit_3.text() == "32" or self.lineEdit_3.text() == "8":
file,ext = QtWidgets.QFileDialog.getOpenFileName()
# reading binary file
count = int(os.stat(file).st_size/2)
statinfo = os.stat(file)
print(statinfo," ",count)
with open(file, 'rb') as fb:
bin_1 = array.array("h")
print("sss")
bin_1.fromfile(fb, count)
print(len(bin_1))
res =''
Channel_number = int(str(self.lineEdit_3.text()))
for x in range(1,Channel_number + 1): # range for 32 bit. for 8 bit the range will be (1,9)
y = str(self.lineEdit_2.text()) # folder name
y_2 = str(self.lineEdit.text()) # file name
folder_path_1 = os.path.isdir(os.getcwd() + '/' + y +'/' + y+'{}'.format(x))
if not folder_path_1:
folder_path = os.makedirs(os.path.join(os.getcwd(), y + '/' + y +'{}'.format(x)))
# write the data from every channle to it's folder with txt format
for x in range(1,Channel_number + 1): # range for 32 bit. for 8 bit the range will be (1,9)
y = str(self.lineEdit_2.text())
folder_name = str(self.lineEdit.text())
folder_path_1 = os.path.isdir(os.getcwd() + '/' + y +'/' + y+'{}'.format(x))
if not folder_path_1:
folder_path = os.makedirs(os.path.join(os.getcwd(), y + '/' + y +'{}'.format(x)))
file_name= y_2 +'{}.txt'.format(x)
fig_name = y_2 +'{}.png'.format(x)
file_name_2 = y_2 + '_new{}.txt'.format(x)
fig_name_2 = y_2 + '_new{}.png'.format(x)
file_name_3 = 'result{}.txt'.format(x)
file_name_20 = y_2 + '_new20.txt'
with open (os.path.join(os.getcwd() + '/' + y +'/' + y+'{}'.format(x), file_name),"w") as wf:
res += str(x)
for n in range(0,len(bin_1),Channel_number):
if x == 20:
wf.writelines("{:.2f}\n".format(bin_1[n+(x-1)]*0.65))
else:
wf.writelines("{:.2f}\n".format(bin_1[n+(x-1)]*-0.043))
with open(os.path.join(os.getcwd() + '/' + y +'/' + y+'{}'.format(x), file_name),'r') as ff:
x1 = ff.readlines()
x1 = [float(i) for i in x1]
x1 = x1
x2=x1
x1_max = max(x1, key=abs)
x1_min = min(x1)
x1_sum = sum(x1)
x1_av = statistics.mean(x1)
x2 = [float(i) for i in x2]
listmask=x1_av
for num in range(len(x2)):
if x2[num] == x1_max and num >= 0 and num <= int(len(x2)/4):
#print("nummmmmm = :",num)
x2[0:int(len(x2)/4)] = x2[int(3*len(x2)/4):(len(x2))]
elif x2[num] == x1_max and num > int(len(x2)/4) and num <= int(len(x2))/2:
x2[(num-500):(num+int(len(x2)/4))] = x2[(int(3*len(x2)/4)-500):(len(x2))]
elif x2[num] == x1_max and num > int((len(x2))/2) and num <= (int(3*len(x2)/4)):
x2[(num-500):(int(len(x2))-500)] = x2[0:int(len(x2)/2)]
x2[(len(x2)-500):len(x2)] = x2[0:500]
elif x2[num] == x1_max and num >= int(3*len(x2)/4): # and num <= (len(x2)):
x2[int(3*len(x2)/4):len(x2)] = x2[0:int(len(x2)/4)]
print(x1_max)
xx1_av = statistics.mean(x2)
h = (x1_max - xx1_av)
#print( xx1_av, x1_av , h)
#for n in range(1,33):
with open("results_2.txt",'a') as test:
test.writelines("{:.2f}\n".format(h*(-0.043)))
# from pandas import read_csv
(read_csv(os.path.join(os.getcwd() + '/' + y +'/' + y+'{}'.format(x), file_name))).plot( color='red')
plt.savefig(os.path.join(os.getcwd() + '/' + y +'/' + y+'{}'.format(x), fig_name))
#plt.show()
with open(os.path.join(os.getcwd() + '/' + y +'/' + y+'{}'.format(x), file_name),"r") as ff:
x1 = ff.readlines()
x1 = [float(i) for i in x1]
with open(os.path.join(os.getcwd() + '/' + y +'/' + y+'{}'.format(x), file_name_2),"w") as f:
for num in range(len(x1)):
x1[num] = (x1[num] - xx1_av)
f.writelines("{:.2f}\n".format(x1[num]))
# read the new files and write the results of max in new file for the further analysis
del x1[:]
gc.collect()
else:
QtWidgets.QMessageBox.information(None, "Error", "Make sure of the channels number!!!")
else:
QtWidgets.QMessageBox.information(None, "Error", "Fill all the required information")
......
if __name__ == "__main__":
app = QtWidgets.QApplication([])
qt_app = window()
qt_app.show()
app.exec_()
and the installer.cfg file:
[Application]
name=PythonApplication12
version=1.0
# How to launch the app - this calls the 'main' function from the 'PythonApplication12' package:
entry_point=test1:Ui_MainWindow
extra_preamble=PythonApplication12.py
console=true
[Python]
version=3.6.7
bitness = 64
include_msvcrt=true
[Include]
# Packages from PyPI that your application requires, one per line
# These must have wheels on PyPI:
pypi_wheels = PyQt5==5.11.3
numpy==1.16.0
pandas==0.23.4
PyQt5==5.13.0
matplotlib==3.0.2
PyQt5-sip==4.19.18
Packages = PyQt5
numpy
pandas
matplotlib
statistics
tkinter
_tkinter
# Other files and folders that should be installed
files = ui/test1.py
ui/__init__.py
ui/test1.ui
ui
PythonApplication12.py
lib
