def box_plot(name):
"""
Автор: Ворожцов Михаил
Цель: Вызов функции и передача данных для построения диаграмма размаха
Вход: Название типа данных
Выход: Нет выходных данных
"""
if name != "X":
ch.create_box_plot(tree_type, tree_orders, tree_menu, name)
else:
messagebox.showinfo("Подсказка",
"Пожалуйста, выберите одно из значений в поле X ")
def barchart(name_f, name_t):
"""
Автор: Ворожцов Михаил
Цель: Вызов функции и передача данных для построения ступенчатой диаграммы
Вход: Название типа данных
Выход: Нет выходных данных
"""
if name_f != name_t and name_f != "X" and name_t != "Y":
ch.create_barchart(tree_type, tree_orders, tree_menu, name_f, name_t)
else:
messagebox.showinfo(
"Подсказка", "Пожалуйста, выберите разные значений в поле X и Y")
def portchart(self, index, data):
"""This function creates the dount charts"""
s = ["Term", ""]
col = ["green", "grey"]
labelitem = QLabel()
labelitem.setText("%0.1f" % self.pielist[index] + "%")
labelitem.setGeometry(QRect(95, 39, 100, 100))
labelitem.setStyleSheet(
"border-radius: 1px;\n"
"font: 75 18pt \"Source Sans Pro ExtraLight\";\n"
"background-color: rgb(130, 130, 130,10);")
m_t1Donut = ch.donutchart(
0, 0, 180, 250, col, s,
[self.pielist[index], 100 - self.pielist[index]], False)
scene2 = QGraphicsScene()
scene2.addWidget(m_t1Donut)
scene2.addWidget(labelitem)
self.ui.graphicsView_5.setScene(scene2)
if self.ui.radioButton.isChecked():
self.classMarkCharts(data)
if self.ui.radioButton_2.isChecked():
self.ClassMarkBar(data)
import sys
import Parsers
import Consolidation
import Reports
import Charts
import Navigation
from Config import *
if __name__ == "__main__":
#fout = open('EVENT.log', 'w')
#temp = sys.stdout
#sys.stdout = fout
ReadConfigFile()
#Run parsers
Parsers.main()
#Run consolidation
Consolidation.main()
#run reports
Reports.main()
#run charts
Charts.main()
#run navigation
Navigation.GenerateNavigation()
raw_input('All done! Please hit Enter key to continue...')
#sys.stdout.close()
#sys.stdout = temp
def main(argv):
global script_dir
global outputs_dir
global problems_dir
global results_dir
global charts_dir
global variables_dir
script_dir = os.path.dirname(os.path.abspath(__file__))
print(script_dir)
outputs_dir = script_dir + "/outputs/"
problems_dir = script_dir + "/problems/"
results_dir = script_dir + "/results/"
charts_dir = script_dir + "/charts/"
variables_dir = script_dir + "/variables/"
solvers = getConfiguredSolvers()
cleanBefore(solvers)
global source
os.chdir("problems")
for file in glob.glob("*"):
getProblemParams(file)
os.chdir("../")
if(len(argv) < 4):
print("Program needs at least 3 arguments")
return
if(argv[1] == "--all"):
listdir = os.listdir(script_dir + "/problems")
for solver in solvers:
for file in listdir:
runSolver(solver, file, "time", argv[-1])
for solver in solvers:
for file in listdir:
runSolver(solver, file, "console", argv[-1])
for solver in solvers:
for file in listdir:
scanOutput(solver, file)
else:
listdir = os.listdir(script_dir + "/problems")
for solver in argv[1:-2]:
item = (item for item in solvers if item["id"] == solver[2:]).__next__()
for file in listdir:
runSolver(item, file, "time", argv[-1])
runSolver(item, file, "console", argv[-1])
scanOutput(item, file)
cleanAfter(solvers)
Charts.drawBarChart(solvers, results_dir, charts_dir)
Charts.drawLineChart(solvers, results_dir, charts_dir, "variables")
Charts.drawLineChart(solvers, results_dir, charts_dir, "constraints")
Charts.drawLineChart(solvers, results_dir, charts_dir, "density")
Charts.drawLineChart(solvers, results_dir, charts_dir, "factors")
Charts.drawLineChart(solvers, results_dir, charts_dir, "multiplication")
Charts.drawLineChart(solvers, results_dir, charts_dir, "variables", True)
Charts.drawLineChart(solvers, results_dir, charts_dir, "constraints", True)
Charts.drawLineChart(solvers, results_dir, charts_dir, "density", True)
Charts.drawLineChart(solvers, results_dir, charts_dir, "factors", True)
Charts.drawLineChart(solvers, results_dir, charts_dir, "multiplication", True)
Charts.checkIfCorrect(solvers, variables_dir, problems_dir, results_dir)
Charts.drawLineChart(solvers, results_dir, charts_dir, "miscount")
Charts.drawLineChart(solvers, results_dir, charts_dir, "miscount", True)
def get_nasdaq_daily_data_ind(symbol='', trade_date='', start_date='', end_date='', append_ind=False):
con = db.connect('localhost', 'root', 'root', 'stock')
df = pd.DataFrame()
sql = "SELECT symbol,date,open,close,adj_close,high,low,volume FROM nasdaq_daily where 1=1 "
if (len(symbol) > 0) & (not symbol.isspace()):
sql += "and symbol = %(symbol)s "
if (len(trade_date) > 0) & (not trade_date.isspace()):
sql += "and date = %(date)s "
if (len(start_date) > 0) & (not start_date.isspace()):
sql += "and date >= %(start_date)s "
if (len(end_date) > 0) & (not end_date.isspace()):
sql += "and date <= %(end_date)s "
sql += "order by date asc "
print sql
data = pd.read_sql(sql, params={'symbol': symbol, 'date': trade_date, 'start_date': start_date,
'end_date': end_date}, con=con)
if append_ind:
open, close, high, low, volume = data['open'], data['close'], data['high'], data['low'], data['volume']
ochl2ind = ind.ochl2ind(open, close, high, low, volume)
data = data.join(ochl2ind, how='left')
df = df.append(data)
con.close()
return df
data = get_nasdaq_daily_data_ind('GOOG', start_date='2016-01-01', end_date='2018-12-31')
types = [['C', 'MINMAX'], ['C', 'WR'], ['C', 'DMI'], ['C', 'KDJ'], ['C', 'CCI'], ['C', 'RSI'], ['C', 'MACD']]
types = [['C', 'MINMAX'], ['C', 'EMV'], ['C', 'TRIX'], ['C', 'OBV'], ['C', 'MFI'], ['C', 'RSI'], ['C', 'ROC']]
Charts.drawAll('GOOG', data, types=types)
test_data = pandas.read_csv(DA_IS_DATA, sep=",")
test_data = test_data["ROUND(AVG(VALUE),2)"].values
return np.average(test_data)
## Data Availability.
DA_threshold = 98
Charts.DataLoss(DA_AS_DATA, DA_threshold, "AS")
Charts.DataLoss(DA_HA_DATA, DA_threshold, "HA")
Charts.DataLoss(DA_IS_DATA, DA_threshold, "IS")
Charts.DataLoss(DA_PS_DATA, DA_threshold, "PS")
Charts.DataLoss(DA_SHI_DATA, DA_threshold, "SHI")
## Subsystems Chart pie.
data = Charts.parseSubsystemFile(SubSystemData)
test_data = pandas.read_csv(DA_AS_DATA, sep=",")
DA_avg = test_data["ROUND(AVG(VALUE),2)"].mean()
threshold_AS = 0.1 # This is a user defined value
Charts.SubSystem_DataLossByFailure(data, "AS", DA_avg, threshold_AS)
test_data = pandas.read_csv(DA_HA_DATA, sep=",")
DA_avg = test_data["ROUND(AVG(VALUE),2)"].mean()
threshold_HA = 0.05 # This is a user defined value
Charts.SubSystem_DataLossByFailure(data, "HA", DA_avg, threshold_HA)
test_data = pandas.read_csv(DA_IS_DATA, sep=",")
DA_avg = test_data["ROUND(AVG(VALUE),2)"].mean()
threshold_IS = 0.05 # This is a user defined value
Charts.SubSystem_DataLossByFailure(data, "IS", DA_avg, threshold_IS)
def mainDonuts(self):
col = ["green", "blue", "orange", "red"]
s = ["year average", "Term One", "Term Two", "Term Three"]
avglist = []
total = []
for i in range(3):
t = np.array(self.calc.termCount(i)[4])
e = np.array(self.calc.termCount(i)[1])
avg = np.sum(t)
tot = np.sum(e)
avglist.append(avg)
total.append(tot)
pielist = self.calc.toPercent(avglist, total)
self.pielist = pielist
m_mainDonut = ch.donutchart(0, 0, 327, 468, col, s, pielist, True)
scene1 = QtWidgets.QGraphicsScene()
scene1.addWidget(m_mainDonut)
self.ui.graphicsView_3.setScene(scene1)
col = ["blue", "grey"]
labelitem = QLabel()
labelitem.setText("%0.1f" % pielist[0] + "%")
labelitem.setStyleSheet(
"border-radius: 1px;\n"
"font: 75 18pt \"Source Sans Pro ExtraLight\";\n"
"background-color: rgb(130, 130, 130,10);")
labelitem.setGeometry(QRect(95, 39, 100, 100))
m_t1Donut = ch.donutchart(0, 0, 180, 250, col, s,
[pielist[0], 100 - pielist[0]], False)
scene2 = QGraphicsScene()
scene2.addWidget(m_t1Donut)
scene2.addWidget(labelitem)
self.ui.graphicsView_6.setScene(scene2)
col = ["green", "grey"]
labelitem = QLabel()
labelitem.setText("%0.1f" % pielist[1] + "%")
labelitem.setGeometry(QRect(95, 39, 100, 100))
labelitem.setStyleSheet(
"border-radius: 1px;\n"
"font: 75 18pt \"Source Sans Pro ExtraLight\";\n"
"background-color: rgb(130, 130, 130,10);")
m_t1Donut = ch.donutchart(0, 0, 180, 250, col, s,
[pielist[1], 100 - pielist[1]], False)
scene2 = QGraphicsScene()
scene2.addWidget(m_t1Donut)
scene2.addWidget(labelitem)
self.ui.graphicsView_7.setScene(scene2)
col = ["orange", "grey"]
labelitem = QLabel()
labelitem.setText("%0.1f" % pielist[2] + "%")
labelitem.setGeometry(QRect(95, 39, 100, 100))
labelitem.setStyleSheet(
"border-radius: 1px;\n"
"font: 75 18pt \"Source Sans Pro ExtraLight\";\n"
"background-color: rgb(130, 130, 130,10);")
m_t1Donut = ch.donutchart(0, 0, 180, 250, col, s,
[pielist[2], 100 - pielist[2]], False)
scene2 = QGraphicsScene()
scene2.addWidget(m_t1Donut)
scene2.addWidget(labelitem)
self.ui.graphicsView_9.setScene(scene2)
s = ["Term One", "Term Two", "Term Three"]
scart = ch.scatterPlot(s, pielist)
scene = QGraphicsScene()
scene.addWidget(scart)
self.ui.graphicsView_10.setScene(scene)
self.LeanerChartDisplay()
self.classPerform()
self.taskTab()