def showDialog(self):
text, ok = QInputDialog.getText(self, 'Input Dialog',
'Enter your text:')
if ok:
if 'file:' in text:
self.le.setText(
main.mixText(main.readFile(text.replace('file:', ''))))
else:
self.le.setText(main.mixText(str(text) + '.'))
def openArquivo():
try:
fileName = filedialog.askopenfilename(title="Select File",
filetypes=(("txt files",
"*.txt"),
("all files", "*.*")))
if fileName != '':
code = main.readFile(fileName)
textinput.delete('1.0', 'end-1c')
textinput.insert("end-1c", code)
except Exception as e:
pass
def browse(self):
options = QtWidgets.QFileDialog.Options()
options |= QtWidgets.QFileDialog.DontUseNativeDialog
self.inputFile = QtWidgets.QFileDialog.getOpenFileName(
self.mainWindow,
"QFileDialog.getOpenFileName()",
"",
options=options)
if self.inputFile:
self.inputFile = str(self.inputFile[0])
self.lines = classifier.readFile(self.inputFile)
self.labelFileName.setText("Nazwa przetwarzanego pliku: \n" +
self.inputFile.split("/")[-1])
self.progressBar.setProperty("value", 0)
self.labelNumOfNature.setText("")
def debug():
try:
entrada = textinput.get("1.0", 'end-1c')
main.execultaDebug(entrada, var.get())
debug_message = main.readFile('parselog.txt')
root2 = tk.Tk()
root2.title("SiNo 1.0")
root2.geometry('1366x768')
#ico2 = PhotoImage(file = 'icones/post.png')
#root2.tk.call('wm', 'iconphoto', root2._w, ico2)
canvas = tk.Canvas(root2, bg='#FDF5E6', height=HEIGHT, width=WIDTH)
canvas.pack(expand=YES, fill=BOTH)
label3 = tk.Label(root2, text=" DEBUG PLY ", bg='#FDF5E9')
label3.place(relx=0.40, rely=0.01)
frame1 = tk.Frame(root2, bg='#FDF5E9', bd=5)
frame1.place(relx=0.53,
rely=0.03,
relwidth=0.95,
relheight=0.95,
anchor='n')
textinput1 = tk.Text(frame1, font=(NORM_FONT, 15))
textinput1.place(relwidth=0.95, relheight=0.95)
textinput1.insert("end-1c", debug_message)
scrollBar_input1 = tk.Scrollbar(frame1)
scrollBar_input1.place(relx=0.96, rely=0.01, relwidth=0.018)
scrollBar_input1.config(command=textinput1.yview)
textinput1.config(yscrollcommand=scrollBar_input1.set)
root2.mainloop()
except Exception as e:
label.insert(
"end-1c",
' \n ************************************* SiNo ************************************* \n'
+ '>>Return main:: ' + str(e))
plt.plot([real_global_returns] * len(hist))
plt.title("boxplot_ARMA")
plt.subplot(1, 3, 2)
plt.boxplot([sim_garch])
plt.plot([real_global_returns] * len(hist))
plt.title("boxplot_GARCH")
plt.subplot(1, 3, 3)
plt.boxplot([sim_sv])
plt.plot([real_global_returns] * 500)
plt.title("boxplot_SV")
plt.show()
#for test
import main
import GlobalValue
if __name__ == '__main__':
main.readFile('Portfolio structure.csv')
main.readHistData('Historical Data.csv')
modelp = pickle.load(open("globalValue_modelParams.dat", "rb"))
yahoodata = pickle.load(open("globalValue_yahooData.dat", "rb"))
#print(modelp[0])
#plot_simulation(modelp[0],yahoodata[0])
#plot_simulation(modelp[1],yahoodata[1])
#plot_simulation(modelp[2],yahoodata[2])
#returns = pickle.load(open("global_returns.dat", "rb"))
plt.title("boxplot_ARMA")
plt.subplot(1,3,2)
plt.boxplot([sim_garch])
plt.plot([real_global_returns] * len(hist))
plt.title("boxplot_GARCH")
plt.subplot(1,3,3)
plt.boxplot([sim_sv])
plt.plot([real_global_returns]*500)
plt.title("boxplot_SV")
plt.show()
#for test
import main
import GlobalValue
if __name__ == '__main__':
main.readFile('Portfolio structure.csv')
main.readHistData('Historical Data.csv')
modelp = pickle.load(open("globalValue_modelParams.dat", "rb"))
yahoodata = pickle.load(open("globalValue_yahooData.dat", "rb"))
#print(modelp[0])
#plot_simulation(modelp[0],yahoodata[0])
#plot_simulation(modelp[1],yahoodata[1])
#plot_simulation(modelp[2],yahoodata[2])
#returns = pickle.load(open("global_returns.dat", "rb"))
from main import readFile
assert len(readFile(
'mapping-coding--graph.dat')) != 77485, "Houston we've got a problem"
default_element_size=(40, 1),
grab_anywhere=False)
check = False
while True: # Event Loop
event, values = window.read()
if event == sg.WIN_CLOSED or event == 'Exit':
break
try:
if event == 'Submit':
if values['result_file_path'] == "Select result file":
print("Please select result file path")
else:
#print(values['result_file_path'])
path = values['result_file_path']
readFile(path)
check = True
#print(values)
elif event == 'Generate' and check:
if values['top_3']:
print("Top 3 students\n")
print('{:20s} {:20s} {:40s}'.format("Roll No.", "Name",
"Percentage"))
for x in range(3):
print('{:20s} {:20s} {:40s}'.format(
percentData[x]['rollNo'], percentData[x]['name'],
percentData[x]['percentage']))
elif values['sub_wise']:
for key, value in subjectCodeDist.items():
print(
str(key) + " A1 = " + str(value['A1']) + " A2 = " +
def processFiles(self, path, gap):
if self.isStopped():
return
filenames = []
self.flag_ad = "0"
self.flag_de = "0"
for filename in os.listdir(path):
#用来判断文件夹中是否有之前处理过的数据，记录下之前处理数据的下标
if str(filename).startswith("adsorption_spectrum") and str(
filename).endswith(".xls"):
self.flag_ad = str(int(str(filename)[-5]) + 1)
if str(filename).startswith("desorption_spectrum") and str(
filename).endswith(".xls"):
self.flag_de = str(int(str(filename)[-5]) + 1)
if str(filename).endswith(".jdx"):
filenames.append(filename)
flag = 0
for filename in filenames:
if flag == 0:
f = open("directory.txt", 'w')
f.write(path + "\\" + filename)
f.close()
flag = 1
if self.isStopped():
return
data = main.readFile(unicode(path + "\\" + filename))
if str(filename).endswith("ef.jdx"):
self.data_ad[1:1] = [data]
self.data_de[1:1] = [data]
# [self.data_x1,self.data_y1]=data
elif str(filename).endswith("ark.jdx"):
self.data_ad[0:0] = [data]
self.data_de[0:0] = [data]
# [self.data_x2,self.data_y2]=data
else:
if str(filename).startswith("a") and str(filename).endswith(
".jdx"):
self.data_ad.append(data)
elif str(filename).startswith("d") and str(filename).endswith(
".jdx"):
self.data_de.append(data)
self.emit(SIGNAL("indexed(QString)"), filename)
import xlwt
file_ad = xlwt.Workbook()
table_ad = file_ad.add_sheet('Sheet1', cell_overwrite_ok=True)
file_ad.save(path + "\\" + 'adsorption_spectrum' + self.flag_ad +
'.xls')
count = 0
flag = 0
for i in range(2, len(self.data_ad), gap):
print(i)
temp = main.slotTest2DataProcess(
self.data_ad[0][0], self.data_ad[0][1], self.data_ad[1][0],
self.data_ad[1][1], self.data_ad[i][0], self.data_ad[i][1])
self.result_ad.append(temp)
if flag == 0:
data_x_smooth = temp[0]
data_y_smooth = temp[1]
if count == 0:
for j in range(len(data_x_smooth)):
table_ad.write(j, count, data_x_smooth[j])
table_ad.write(j, count + 1, data_y_smooth[j])
else:
for j in range(len(data_y_smooth)):
table_ad.write(j, count + 1, data_y_smooth[j])
count = count + 1
if count % 10 == 0:
print("................")
file_ad.save(path + "\\" + 'adsorption_spectrum' +
self.flag_ad + '.xls')
flag = (flag + 1) % 5
self.emit(SIGNAL("processed(QString)"), "adsorption --- %i " % i)
file_ad.save(path + "\\" + 'adsorption_spectrum' + self.flag_ad +
'.xls')
file_de = xlwt.Workbook()
table_de = file_de.add_sheet('Sheet1', cell_overwrite_ok=True)
file_de.save(path + "\\" + 'desorption_spectrum' + self.flag_de +
'.xls')
count = 0
flag = 0
for i in range(2, len(self.data_de), gap):
print(i)
temp = main.slotTest2DataProcess(
self.data_de[0][0], self.data_de[0][1], self.data_de[1][0],
self.data_de[1][1], self.data_de[i][0], self.data_de[i][1])
self.result_de.append(temp)
if flag == 0:
data_x_smooth = temp[0]
data_y_smooth = temp[1]
if count == 0:
for j in range(len(data_x_smooth)):
table_de.write(j, count, data_x_smooth[j])
table_de.write(j, count + 1, data_y_smooth[j])
else:
for j in range(len(data_y_smooth)):
table_de.write(j, count + 1, data_y_smooth[j])
count = count + 1
if count % 10 == 0:
print("......................")
file_de.save(path + "\\" + 'desorption_spectrum' +
self.flag_de + '.xls')
flag = (flag + 1) % 10
self.emit(SIGNAL("processed(QString)"), "desorption --- %i " % i)
file_de.save(path + "\\" + 'desorption_spectrum' + self.flag_de +
'.xls')
self.completed = True