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module1.py
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from PyQt5.QtWidgets import QApplication, QLineEdit, QWidget, QFormLayout, QPushButton, QLabel, QMainWindow, QComboBox, \
QWidget, QHBoxLayout, QVBoxLayout, QGridLayout , QTabWidget , QToolButton , QMessageBox , QDesktopWidget
from PyQt5.QtWidgets import QTableWidget, QTableWidgetItem, QGroupBox, QStackedLayout , QDialog , QErrorMessage , QToolTip
from PyQt5.QtGui import QIntValidator, QDoubleValidator, QFont, QPalette, QColor , QPixmap , QCursor
from PyQt5.QtCore import Qt,QSize
import sys , math
from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg as FigureCanvas
from matplotlib.backends.backend_qt5agg import NavigationToolbar2QT as NavigationToolbar
from matplotlib.figure import Figure
from matplotlib.pyplot import figure
class Module1(QWidget):
def __init__(self , parent):
super(QWidget, self).__init__(parent)
self.layout = QHBoxLayout(self)
self.module1 = QWidget()
self.module1Help = QToolButton()
self.module1Help.setText("Help")
self.module1Help.setIconSize(QSize(20 , 20))
self.module1Help.clicked.connect(self.module1HelpFunction)
#self.module1Help.clicked.connect(self.module1HelpFunction2)
# Create first tab
# process Button
ButtonLayout = QHBoxLayout()
self.graphButtonFunction(ButtonLayout)
self.resetButtonFunction(ButtonLayout)
self.module1.layout = QGridLayout(self)
self.module1.layout.addWidget(self.module1Help,0,0 , alignment = Qt.AlignRight)
self.layout.addWidget(self.module1)
self.module1.setLayout(self.module1.layout)
self.inputData(self.module1.layout)
self.module1.layout.addLayout(ButtonLayout , 3 , 0)
self.setLayout(self.layout)
self.logo = QLabel(self)
self.pixmap = QPixmap('./logo.PNG')
self.pixmap = self.pixmap.scaled(600,600)
self.logo.setPixmap(self.pixmap)
#self.logo.resize(self.pixmap.width(),self.pixmap.height())
self.layout.addWidget(self.logo)
self.setLayout(self.layout)
def drawGraph_terzaghi (self):
self.choosingLayer()
self.choosingLayerForWater()
#print(self.calculate_q_terzaghi(float(self.DBase.text())))
self.graphWindow = QDialog(self)
self.graphWindow.setWindowTitle("Graphs")
self.graphWindowLayout = QGridLayout()
self.graphWindow.setLayout(self.graphWindowLayout)
# q(u) per B chart :
bChartX = []
bChartY = []
bChartX.append(float(self.B.text()))
for i in range (1 , self.steps + 1):
bChartX.append (float(self.B.text()) + (i * float(self.BStep.text())))
bChartX.append (float(self.B.text()) - (i * float(self.BStep.text())))
bChartX.sort()
for B in bChartX :
qu = self.calculate_qu_terzaghi(B , self.calculate_Nc_terzaghi(self.calculate_Nq_terzaghi()) , self.calculate_Sc_terzaghi(B , float(self.L.text())) , self.calculate_q_terzaghi (float(self.DBase.text())), self.calculate_Nq_terzaghi() , self.calculate_Sq_terzaghi() , self.calculate_Ngamma_terzaghi(self.calculate_KPgamma_terzaghi()) , self.calculate_Sgamma_terzaghi(B, float(self.L.text())))
qall = self.calculate_qall_terzaghi(qu)
bChartY.append(qall)
#[13.628,15.755,17.842,19.890,21.898]
qPerB = Figure(figsize=(5, 3), dpi=100 )
qPerB.text(0.4 , 0.9 ,"qall per B steps", fontsize=10, color='silver')
qPerB_axes = qPerB.add_subplot(111)
# static line in graph
qPerB_axes.axhline(y = bChartY[4], color='#3DF1E8', linestyle='--')
qPerB_axes.axvline(x = bChartX[4], color='#3DF1E8', linestyle='--')
###
qPerB_axes.set_ylabel (u"qall (ton/m\N{SUPERSCRIPT TWO})")
qPerB_axes.set_xlabel ("B steps")
qPerB_axes.plot(bChartX, bChartY, marker = "o" )
qPerB_axes.grid(linewidth=0.5, alpha=0.5)
qPerB_shape = FigureCanvas(qPerB)
tool = NavigationToolbar(qPerB_shape, self)
self.graphWindowLayout.addWidget(tool, 0 , 0)
self.graphWindowLayout.addWidget(qPerB_shape , 1 , 0)
def on_mouse_move(event):
if event.xdata is not None and event.ydata is not None:
tooltip_text = f'({event.xdata:.2f}, {event.ydata:.2f})'
QToolTip.showText(QCursor.pos(), tooltip_text)
qPerB_shape.mpl_connect('motion_notify_event', on_mouse_move)
dChartX = []
dChartY = []
dChartX.append(float(self.DBase.text()))
for i in range (1 , self.steps + 1):
dChartX.append (float(self.DBase.text()) + (i * float(self.DStep.text())))
dChartX.append (float(self.DBase.text()) - (i * float(self.DStep.text())))
dChartX.sort()
for D in dChartX :
qu = self.calculate_qu_terzaghi(float(self.B.text()) , self.calculate_Nc_terzaghi(self.calculate_Nq_terzaghi()) , self.calculate_Sc_terzaghi(float(self.B.text()) , float(self.L.text())) , self.calculate_q_terzaghi (D), self.calculate_Nq_terzaghi() , self.calculate_Sq_terzaghi() , self.calculate_Ngamma_terzaghi(self.calculate_KPgamma_terzaghi()) , self.calculate_Sgamma_terzaghi(float(self.B.text()), float(self.L.text())))
qall = self.calculate_qall_terzaghi(qu)
dChartY.append(qall)
qPerD = Figure(figsize=(5, 3), dpi=100)
qPerD.text(0.4 , 0.9 ,"qall per D base steps", fontsize=10, color='silver')
qPerD_axes = qPerD.add_subplot(111)
# static line in graph
qPerD_axes.axhline(y = dChartY[4], color='#56E419', linestyle='--')
qPerD_axes.axvline(x = dChartX[4], color='#56E419', linestyle='--')
###
qPerD_axes.set_ylabel (u"qall (ton/m\N{SUPERSCRIPT TWO})")
qPerD_axes.set_xlabel ("D Base steps")
qPerD_axes.plot(dChartX, dChartY, marker = "o" , color = "green")
qPerD_axes.grid(linewidth=0.5, alpha=0.5)
qPerD_shape = FigureCanvas(qPerD)
tool = NavigationToolbar(qPerD_shape, self)
self.graphWindowLayout.addWidget(tool, 0 , 1)
self.graphWindowLayout.addWidget(qPerD_shape , 1 , 1)
qPerD_shape.mpl_connect('motion_notify_event', on_mouse_move)
lChartX = []
lChartY = []
lChartX.append(float(self.L.text()))
for i in range (1 , self.steps + 1):
lChartX.append (float(self.L.text()) + (i * float(self.LStep.text())))
lChartX.append (float(self.L.text()) - (i * float(self.LStep.text())))
lChartX.sort()
for L in lChartX :
qu = self.calculate_qu_terzaghi(float(self.B.text()) , self.calculate_Nc_terzaghi(self.calculate_Nq_terzaghi()) , self.calculate_Sc_terzaghi(float(self.B.text()) , L ) , self.calculate_q_terzaghi (float(self.DBase.text())), self.calculate_Nq_terzaghi() , self.calculate_Sq_terzaghi() , self.calculate_Ngamma_terzaghi(self.calculate_KPgamma_terzaghi()) , self.calculate_Sgamma_terzaghi(float(self.B.text()), L))
qall = self.calculate_qall_terzaghi(qu)
lChartY.append(qall)
#[13.628,15.755,17.842,19.890,21.898]
qPerL = Figure(figsize=(5, 3), dpi=100)
qPerL.text(0.4 , 0.9 ,"qall per L steps", fontsize=10, color='silver')
qPerL_axes = qPerL.add_subplot(111)
# static line in graph
qPerL_axes.axhline(y = lChartY[4], color='#FB903D', linestyle='--')
qPerL_axes.axvline(x = lChartX[4], color='#FB903D', linestyle='--')
###
qPerL_axes.set_ylabel (u"qall (ton/m\N{SUPERSCRIPT TWO})")
qPerL_axes.set_xlabel ("L steps")
qPerL_axes.plot(lChartX, lChartY, marker = "o" , color = "red")
qPerL_axes.grid(linewidth=0.5, alpha=0.5)
qPerL_shape = FigureCanvas(qPerL)
tool = NavigationToolbar(qPerL_shape, self)
self.graphWindowLayout.addWidget(tool, 2 , 0)
self.graphWindowLayout.addWidget(qPerL_shape , 3 , 0)
qPerL_shape.mpl_connect('motion_notify_event', on_mouse_move)
self.graphWindow.exec()
def drawGraph_meyerhof(self):
self.choosingLayer()
self.choosingLayerForWater()
self.graphWindow = QDialog(self)
self.graphWindow.setWindowTitle("Graphs")
self.graphWindowLayout = QGridLayout()
self.graphWindow.setLayout(self.graphWindowLayout)
# q(u) per B chart :
bChartX = []
bChartY = []
beta = self.calculate_beta_meyerhof()
bChartX.append(float(self.B.text()))
for i in range (1 , self.steps + 1):
bChartX.append (float(self.B.text()) + (i * float(self.BStep.text())))
bChartX.append (float(self.B.text()) - (i * float(self.BStep.text())))
bChartX.sort()
for B in bChartX :
qu = self.calculate_qu_meyerhof (self.calculate_Nc_meyerhof(self.calculate_Nq_meyerhof()) , self.calculate_Sc_meyerhof(self.calculate_KP_meyerhof(), float(self.L.text()) , B) , self.calculate_dc_meyerhof(self.calculate_KP_meyerhof() , float(self.DBase.text()) , B) , self.calculate_ic_meyerhof(beta) , self.calculate_q_terzaghi(float(self.DBase.text())) , self.calculate_Nq_meyerhof() , self.calculate_Sq_meyerhof(self.calculate_KP_meyerhof() , float(self.L.text()) , B) , self.calculate_dq_meyerhof(self.calculate_KP_meyerhof() , float(self.DBase.text()) , B) , self.calculate_iq_meyerhof(beta), B,self.calculate_Ngamma_meyerhof(self.calculate_Nq_meyerhof()) , self.calculate_Sgamma_meyerhof(self.calculate_KP_meyerhof() , float(self.L.text()),B) , self.calculate_dgamma_meyerhof(self.calculate_KP_meyerhof() , float(self.DBase.text()),B) , self.calculate_igamma_meyerhof(beta) )
qall = self.calculate_qall_terzaghi(qu)
bChartY.append(qall)
#[13.628,15.755,17.842,19.890,21.898]
qPerB = Figure(figsize=(5, 3), dpi=100 )
qPerB.text(0.4 , 0.9 ,"qall per B steps", fontsize=10, color='silver')
qPerB_axes = qPerB.add_subplot(111)
# static line in graph
qPerB_axes.axhline(y = bChartY[4], color='#3DF1E8', linestyle='--')
qPerB_axes.axvline(x = bChartX[4], color='#3DF1E8', linestyle='--')
###
qPerB_axes.grid(linewidth=0.5, alpha=0.5)
qPerB_axes.set_ylabel (u"qall (ton/m\N{SUPERSCRIPT TWO})")
qPerB_axes.set_xlabel ("B steps")
qPerB_axes.plot(bChartX, bChartY, marker = "o" )
qPerB_shape = FigureCanvas(qPerB)
tool = NavigationToolbar(qPerB_shape, self)
self.graphWindowLayout.addWidget(tool, 0 , 0)
self.graphWindowLayout.addWidget(qPerB_shape , 1 , 0)
def on_mouse_move(event):
if event.xdata is not None and event.ydata is not None:
tooltip_text = f'({event.xdata:.2f}, {event.ydata:.2f})'
QToolTip.showText(QCursor.pos(), tooltip_text)
qPerB_shape.mpl_connect('motion_notify_event', on_mouse_move)
dChartX = []
dChartY = []
dChartX.append(float(self.DBase.text()))
for i in range (1 , self.steps + 1):
dChartX.append (float(self.DBase.text()) + (i * float(self.DStep.text())))
dChartX.append (float(self.DBase.text()) - (i * float(self.DStep.text())))
dChartX.sort()
for D in dChartX :
qu = self.calculate_qu_meyerhof (self.calculate_Nc_meyerhof(self.calculate_Nq_meyerhof()) , self.calculate_Sc_meyerhof(self.calculate_KP_meyerhof(), float(self.L.text()) , float (self.B.text()) ) , self.calculate_dc_meyerhof(self.calculate_KP_meyerhof() , D , float (self.B.text())) , self.calculate_ic_meyerhof(beta) , self.calculate_q_terzaghi(D) , self.calculate_Nq_meyerhof() , self.calculate_Sq_meyerhof(self.calculate_KP_meyerhof() , float(self.L.text()) , float (self.B.text()) ) , self.calculate_dq_meyerhof(self.calculate_KP_meyerhof() , D , float (self.B.text()) ) ,self.calculate_iq_meyerhof(beta),float(self.B.text()), self.calculate_Ngamma_meyerhof(self.calculate_Nq_meyerhof()) , self.calculate_Sgamma_meyerhof(self.calculate_KP_meyerhof() , float(self.L.text()) ,float (self.B.text()) ) , self.calculate_dgamma_meyerhof(self.calculate_KP_meyerhof() , D , float (self.B.text()) ) , self.calculate_igamma_meyerhof(beta) )
qall = self.calculate_qall_terzaghi(qu)
dChartY.append(qall)
qPerD = Figure(figsize=(5, 3), dpi=100)
qPerD.text(0.4 , 0.9 ,"qall per D base steps", fontsize=10, color='silver')
qPerD_axes = qPerD.add_subplot(111)
# static line in graph
qPerD_axes.axhline(y = dChartY[4], color='#56E419', linestyle='--')
qPerD_axes.axvline(x = dChartX[4], color='#56E419', linestyle='--')
###
qPerD_axes.set_ylabel (u"qall (ton/m\N{SUPERSCRIPT TWO})")
qPerD_axes.set_xlabel ("D Base steps")
qPerD_axes.plot(dChartX, dChartY, marker = "o" , color = "green")
qPerD_shape = FigureCanvas(qPerD)
tool = NavigationToolbar(qPerD_shape, self)
self.graphWindowLayout.addWidget(tool, 0 , 1)
self.graphWindowLayout.addWidget(qPerD_shape , 1 , 1)
qPerD_axes.grid(linewidth=0.5, alpha=0.5)
qPerD_shape.mpl_connect('motion_notify_event', on_mouse_move)
lChartX = []
lChartY = []
lChartX.append(float(self.L.text()))
for i in range (1 , self.steps + 1):
lChartX.append (float(self.L.text()) + (i * float(self.LStep.text())))
lChartX.append (float(self.L.text()) - (i * float(self.LStep.text())))
lChartX.sort()
for L in lChartX :
qu = self.calculate_qu_meyerhof (self.calculate_Nc_meyerhof(self.calculate_Nq_meyerhof()) , self.calculate_Sc_meyerhof(self.calculate_KP_meyerhof(), L , float (self.B.text()) ) , self.calculate_dc_meyerhof(self.calculate_KP_meyerhof() , float(self.DBase.text()) , float (self.B.text())) , self.calculate_ic_meyerhof(beta) , self.calculate_q_terzaghi(float(self.DBase.text())) , self.calculate_Nq_meyerhof() , self.calculate_Sq_meyerhof(self.calculate_KP_meyerhof() , L , float (self.B.text()) ) , self.calculate_dq_meyerhof(self.calculate_KP_meyerhof() , float(self.DBase.text()) , float (self.B.text()) ), self.calculate_iq_meyerhof(beta) , float(self.B.text()),self.calculate_Ngamma_meyerhof(self.calculate_Nq_meyerhof()) , self.calculate_Sgamma_meyerhof(self.calculate_KP_meyerhof() , L ,float (self.B.text()) ) , self.calculate_dgamma_meyerhof(self.calculate_KP_meyerhof() , float(self.DBase.text()) , float (self.B.text()) ) , self.calculate_igamma_meyerhof(beta) )
qall = self.calculate_qall_terzaghi(qu)
lChartY.append(qall)
#[13.628,15.755,17.842,19.890,21.898]
qPerL = Figure(figsize=(5, 3), dpi=100)
qPerL.text(0.4 , 0.9 ,"qall per L steps", fontsize=10, color='silver')
qPerL_axes = qPerL.add_subplot(111)
# static line in graph
qPerL_axes.axhline(y = lChartY[4], color='#FB903D', linestyle='--')
qPerL_axes.axvline(x = lChartX[4], color='#FB903D', linestyle='--')
###
qPerL_axes.set_ylabel (u"qall (ton/m\N{SUPERSCRIPT TWO})")
qPerL_axes.set_xlabel ("L steps")
qPerL_axes.plot(lChartX, lChartY, marker = "o" , color="red")
qPerL_shape = FigureCanvas(qPerL)
tool = NavigationToolbar(qPerL_shape, self)
self.graphWindowLayout.addWidget(tool, 2 , 0)
self.graphWindowLayout.addWidget(qPerL_shape , 3 , 0)
qPerL_axes.grid(linewidth=0.5, alpha=0.5)
qPerL_shape.mpl_connect('motion_notify_event', on_mouse_move)
self.graphWindow.exec()
def drawGraph_hansen(self):
self.choosingLayer()
self.choosingLayerForWater()
self.graphWindow = QDialog(self)
self.graphWindow.setWindowTitle("Graphs")
self.graphWindowLayout = QGridLayout()
self.graphWindow.setLayout(self.graphWindowLayout)
# q(u) per B chart :
bChartX = []
bChartY = []
bChartX.append(float(self.B.text()))
for i in range (1 , self.steps + 1):
bChartX.append (float(self.B.text()) + (i * float(self.BStep.text())))
bChartX.append (float(self.B.text()) - (i * float(self.BStep.text())))
bChartX.sort()
for B in bChartX :
Nq = self.calculate_Nq_hansen()
Nc = self.calculate_Nc_hansen(self.calculate_Nq_hansen())
Ngamma = self.calculate_Ngamma_hansen(self.calculate_Nq_hansen())
Sc = self.calculate_Sc_hansen(self.calculate_Nq_hansen() , self.calculate_Nc_hansen(Nq) , B , float (self.L.text()))
Sq = self.calculate_Sq_hansen( B , float (self.L.text()) )
Sgamma = self.calculate_Sgamma_hansen (B , float (self.L.text()))
dc = self.calculate_dc_hansen( float(self.DBase.text()) , B)
dq = self.calculate_dq_hansen(float(self.DBase.text()) , B)
dgamma = self.calculate_dgamma_hansen()
bc = self.calculate_bc_hansen()
bq = self.calculate_bq_hansen()
bgamma = self.calculate_ggamma_hansen()
gc = self.calculate_gc_hansen()
gq = self.calculate_gq_hansen()
ggamma = self.calculate_ggamma_hansen()
ca = self.calculate_ca_hansen()
Af = self.calculate_Af_hansen(B , float (self.L.text()))
m = self.calculate_m_hansen(self.calculate_mB_hansen(B , float (self.L.text())) , self.calculate_mL_hansen(B , float (self.L.text())) )
iq = self.calculate_iq_hansen(Af , ca , m)
igamma = self.calculate_igamma_hansen(Af , ca , m)
ic = self.calculate_ic_hansen(iq , Nq)
q = self.calculate_q_terzaghi(float(self.DBase.text()))
qu = self.calculate_qu_hansen(Nc , Sc , dc , ic , gc , bc , q , Nq , Sq , dq , iq , gq , bq , Ngamma , Sgamma , dgamma , igamma , ggamma , bgamma)
qall = self.calculate_qall_terzaghi(qu)
bChartY.append(qall)
qPerB = Figure(figsize=(5, 3), dpi=100 )
qPerB.text(0.4 , 0.9 ,"qall per B steps", fontsize=10, color='silver')
qPerB_axes = qPerB.add_subplot(111)
# static line in graph
qPerB_axes.axhline(y = bChartY[4], color='#3DF1E8', linestyle='--')
qPerB_axes.axvline(x = bChartX[4], color='#3DF1E8', linestyle='--')
###
qPerB_axes.set_ylabel (u"qall (ton/m\N{SUPERSCRIPT TWO})")
qPerB_axes.set_xlabel ("B steps")
qPerB_axes.plot(bChartX, bChartY, marker = "o" )
qPerB_shape = FigureCanvas(qPerB)
tool = NavigationToolbar(qPerB_shape, self)
self.graphWindowLayout.addWidget(tool, 0 , 0)
self.graphWindowLayout.addWidget(qPerB_shape , 1 , 0)
qPerB_axes.grid(linewidth=0.5, alpha=0.5)
def on_mouse_move(event):
if event.xdata is not None and event.ydata is not None:
tooltip_text = f'({event.xdata:.2f}, {event.ydata:.2f})'
QToolTip.showText(QCursor.pos(), tooltip_text)
qPerB_shape.mpl_connect('motion_notify_event', on_mouse_move)
dChartX = []
dChartY = []
dChartX.append(float(self.DBase.text()))
for i in range (1 , self.steps + 1):
dChartX.append (float(self.DBase.text()) + (i * float(self.DStep.text())))
dChartX.append (float(self.DBase.text()) - (i * float(self.DStep.text())))
dChartX.sort()
for D in dChartX :
Nq = self.calculate_Nq_hansen()
Nc = self.calculate_Nc_hansen(self.calculate_Nq_hansen())
Ngamma = self.calculate_Ngamma_hansen(self.calculate_Nq_hansen())
Sc = self.calculate_Sc_hansen(self.calculate_Nq_hansen() , self.calculate_Nc_hansen(Nq) , float (self.B.text()) , float (self.L.text()))
Sq = self.calculate_Sq_hansen( float (self.B.text()) , float (self.L.text()) )
Sgamma = self.calculate_Sgamma_hansen (float (self.B.text()) , float (self.L.text()))
dc = self.calculate_dc_hansen( D , float (self.B.text()))
dq = self.calculate_dq_hansen(D , float (self.B.text()))
dgamma = self.calculate_dgamma_hansen()
bc = self.calculate_bc_hansen()
bq = self.calculate_bq_hansen()
bgamma = self.calculate_ggamma_hansen()
gc = self.calculate_gc_hansen()
gq = self.calculate_gq_hansen()
ggamma = self.calculate_ggamma_hansen()
ca = self.calculate_ca_hansen()
Af = self.calculate_Af_hansen(float (self.B.text()) , float (self.L.text()))
m = self.calculate_m_hansen(self.calculate_mB_hansen(float (self.B.text()) , float (self.L.text())) , self.calculate_mL_hansen(float (self.B.text()) , float (self.L.text())) )
iq = self.calculate_iq_hansen(Af , ca , m)
igamma = self.calculate_igamma_hansen(Af , ca , m)
ic = self.calculate_ic_hansen(iq , Nq)
q = self.calculate_q_terzaghi(D)
qu = self.calculate_qu_hansen(Nc , Sc , dc , ic , gc , bc , q , Nq , Sq , dq , iq , gq , bq , Ngamma , Sgamma , dgamma , igamma , ggamma , bgamma)
qall = self.calculate_qall_terzaghi(qu)
dChartY.append(qall)
qPerD = Figure(figsize=(5, 3), dpi=100)
qPerD.text(0.4 , 0.9 ,"qall per D base steps", fontsize=10, color='silver')
qPerD_axes = qPerD.add_subplot(111)
# static line in graph
qPerD_axes.axhline(y = dChartY[4], color='#56E419', linestyle='--')
qPerD_axes.axvline(x = dChartX[4], color='#56E419', linestyle='--')
###
qPerD_axes.set_ylabel (u"qall (ton/m\N{SUPERSCRIPT TWO})")
qPerD_axes.set_xlabel ("D Base steps")
qPerD_axes.plot(dChartX, dChartY, marker = "o" , color = "green")
qPerD_shape = FigureCanvas(qPerD)
tool = NavigationToolbar(qPerD_shape, self)
self.graphWindowLayout.addWidget(tool, 0 , 1)
self.graphWindowLayout.addWidget(qPerD_shape , 1 , 1)
qPerD_shape.mpl_connect('motion_notify_event', on_mouse_move)
qPerD_axes.grid(linewidth=0.5, alpha=0.5)
lChartX = []
lChartY = []
lChartX.append(float(self.L.text()))
for i in range (1 , self.steps + 1):
lChartX.append (float(self.L.text()) + (i * float(self.LStep.text())))
lChartX.append (float(self.L.text()) - (i * float(self.LStep.text())))
lChartX.sort()
for L in lChartX :
Nq = self.calculate_Nq_hansen()
Nc = self.calculate_Nc_hansen(self.calculate_Nq_hansen())
Ngamma = self.calculate_Ngamma_hansen(self.calculate_Nq_hansen())
Sc = self.calculate_Sc_hansen(self.calculate_Nq_hansen() , self.calculate_Nc_hansen(Nq) , float (self.B.text()) , L)
Sq = self.calculate_Sq_hansen( float (self.B.text()) , L )
Sgamma = self.calculate_Sgamma_hansen (float (self.B.text()) , L)
dc = self.calculate_dc_hansen( float(self.DBase.text()) , float (self.B.text()))
dq = self.calculate_dq_hansen(float(self.DBase.text()) , float (self.B.text()))
dgamma = self.calculate_dgamma_hansen()
bc = self.calculate_bc_hansen()
bq = self.calculate_bq_hansen()
bgamma = self.calculate_ggamma_hansen()
gc = self.calculate_gc_hansen()
gq = self.calculate_gq_hansen()
ggamma = self.calculate_ggamma_hansen()
ca = self.calculate_ca_hansen()
Af = self.calculate_Af_hansen(float (self.B.text()) , L)
m = self.calculate_m_hansen(self.calculate_mB_hansen(float (self.B.text()) , L) , self.calculate_mL_hansen(float (self.B.text()) , L) )
iq = self.calculate_iq_hansen(Af , ca , m)
igamma = self.calculate_igamma_hansen(Af , ca , m)
ic = self.calculate_ic_hansen(iq , Nq)
q = self.calculate_q_terzaghi(float(self.DBase.text()))
qu = self.calculate_qu_hansen(Nc , Sc , dc , ic , gc , bc , q , Nq , Sq , dq , iq , gq , bq , Ngamma , Sgamma , dgamma , igamma , ggamma , bgamma)
qall = self.calculate_qall_terzaghi(qu)
lChartY.append(qall)
qPerL = Figure(figsize=(5, 3), dpi=100)
qPerL.text(0.4 , 0.9 ,"qall per L steps", fontsize=10, color='silver')
qPerL_axes = qPerL.add_subplot(111)
# static line in graph
qPerL_axes.axhline(y = lChartY[4], color='#FB903D', linestyle='--')
qPerL_axes.axvline(x = lChartX[4], color='#FB903D', linestyle='--')
###
qPerL_axes.set_ylabel (u"qall (ton/m\N{SUPERSCRIPT TWO})")
qPerL_axes.set_xlabel ("L steps")
qPerL_axes.plot(lChartX, lChartY, marker = "o" , color="red")
qPerL_shape = FigureCanvas(qPerL)
qPerL_axes.grid(linewidth=0.5, alpha=0.5)
tool = NavigationToolbar(qPerL_shape, self)
self.graphWindowLayout.addWidget(tool, 2 , 0)
self.graphWindowLayout.addWidget(qPerL_shape , 3 , 0)
qPerL_shape.mpl_connect('motion_notify_event', on_mouse_move)
self.graphWindow.exec()
def drawGraph_vesic(self):
self.choosingLayer()
self.choosingLayerForWater()
self.graphWindow = QDialog(self)
# screen_geometry = QDesktopWidget().availableGeometry()
# self.graphWindow.move(screen_geometry.right() - 500, screen_geometry.top())
self.graphWindow.setWindowTitle("Graphs")
self.graphWindowLayout = QGridLayout()
self.graphWindow.setLayout(self.graphWindowLayout)
# q(u) per B chart :
bChartX = []
bChartY = []
bChartX.append(float(self.B.text()))
for i in range (1 , self.steps + 1):
bChartX.append (float(self.B.text()) + (i * float(self.BStep.text())))
bChartX.append (float(self.B.text()) - (i * float(self.BStep.text())))
bChartX.sort()
for B in bChartX :
Nq = self.calculate_Nq_vesic()
Nc = self.calculate_Nc_vesic(Nq)
Ngamma = self.calculate_Ngamma_vesic(Nq)
Sc = self.calculate_Sc_vesic(Nq , Nc ,B , float (self.L.text()))
Sq = self.calculate_Sq_vesic(B, float (self.L.text()) )
Sgamma = self.calculate_Sgamma_vesic (B, float (self.L.text()))
dc = self.calculate_dc_vesic( float(self.DBase.text()) , B)
dq = self.calculate_dq_vesic(float(self.DBase.text()) , B)
dgamma = self.calculate_dgamma_vesic()
bc = self.calculate_bc_vesic()
bq = self.calculate_bq_vesic()
bgamma = self.calculate_ggamma_vesic()
ca = self.calculate_ca_vesic()
Af = self.calculate_Af_vesic(B, float(self.L.text()))
mB = self.calculate_mB_vesic(B, float(self.L.text()))
mL = self.calculate_mL_vesic(B , float(self.L.text()))
m = self.calculate_m_vesic(mB , mL)
iq = self.calculate_iq_vesic(Af , ca , m)
igamma = self.calculate_igamma_vesic( Af , ca , m)
ic = self.calculate_ic_vesic(iq , Nq)
gc = self.calculate_gc_vesic ( iq)
gq = self.calculate_gq_vesic ()
ggamma = self.calculate_ggamma_vesic()
q = self.calculate_q_terzaghi(float(self.DBase.text()))
qu = self.calculate_qu_hansen(Nc , Sc , dc , ic , gc , bc , q , Nq , Sq , dq , iq , gq , bq , Ngamma , Sgamma , dgamma , igamma , ggamma , bgamma)
qall = self.calculate_qall_terzaghi(qu)
bChartY.append(qall)
qPerB = Figure(figsize=(5, 3), dpi=100 )
qPerB.text(0.4 , 0.9 ,"qall per B steps", fontsize=10, color='silver')
qPerB_axes = qPerB.add_subplot(111)
qPerB_axes.grid(linewidth=0.5, alpha=0.5)
# static line in graph
qPerB_axes.axhline(y = bChartY[4], color='#3DF1E8', linestyle='--')
qPerB_axes.axvline(x = bChartX[4], color='#3DF1E8', linestyle='--')
###
qPerB_axes.set_ylabel (u"qall (ton/m\N{SUPERSCRIPT TWO})")
qPerB_axes.set_xlabel ("B steps")
qPerB_axes.plot(bChartX, bChartY, marker = "o" )
qPerB_shape = FigureCanvas(qPerB)
tool = NavigationToolbar(qPerB_shape, self)
self.graphWindowLayout.addWidget(tool, 0 , 0)
self.graphWindowLayout.addWidget(qPerB_shape , 1 , 0)
def on_mouse_move(event):
if event.xdata is not None and event.ydata is not None:
tooltip_text = f'({event.xdata:.2f}, {event.ydata:.2f})'
QToolTip.showText(QCursor.pos(), tooltip_text)
qPerB_shape.mpl_connect('motion_notify_event', on_mouse_move)
dChartX = []
dChartY = []
dChartX.append(float(self.DBase.text()))
for i in range (1 , self.steps + 1):
dChartX.append (float(self.DBase.text()) + (i * float(self.DStep.text())))
dChartX.append (float(self.DBase.text()) - (i * float(self.DStep.text())))
dChartX.sort()
for D in dChartX :
Nq = self.calculate_Nq_vesic()
Nc = self.calculate_Nc_vesic(Nq)
Ngamma = self.calculate_Ngamma_vesic(Nq)
Sc = self.calculate_Sc_vesic(Nq , Nc , float (self.B.text()) , float (self.L.text()))
Sq = self.calculate_Sq_vesic( float (self.B.text()) , float (self.L.text()) )
Sgamma = self.calculate_Sgamma_vesic (float (self.B.text()) , float (self.L.text()))
dc = self.calculate_dc_vesic( D, float (self.B.text()))
dq = self.calculate_dq_vesic(D , float (self.B.text()))
dgamma = self.calculate_dgamma_vesic()
bc = self.calculate_bc_vesic()
bq = self.calculate_bq_vesic()
bgamma = self.calculate_ggamma_vesic()
ca = self.calculate_ca_vesic()
Af = self.calculate_Af_vesic(float(self.B.text()) , float(self.L.text()))
mB = self.calculate_mB_vesic(float(self.B.text()) , float(self.L.text()))
mL = self.calculate_mL_vesic(float(self.B.text()) , float(self.L.text()))
m = self.calculate_m_vesic(mB , mL)
iq = self.calculate_iq_vesic(Af , ca , m)
igamma = self.calculate_igamma_vesic( Af , ca , m)
ic = self.calculate_ic_vesic(iq , Nq)
gc = self.calculate_gc_vesic ( iq)
gq = self.calculate_gq_vesic ()
ggamma = self.calculate_ggamma_vesic()
q = self.calculate_q_terzaghi(D)
qu = self.calculate_qu_hansen(Nc , Sc , dc , ic , gc , bc , q , Nq , Sq , dq , iq , gq , bq , Ngamma , Sgamma , dgamma , igamma , ggamma , bgamma)
qall = self.calculate_qall_terzaghi(qu)
dChartY.append(qall)
qPerD = Figure(figsize=(5, 3), dpi=100)
qPerD.text(0.4 , 0.9 ,"qall per D base steps", fontsize=10, color='silver')
qPerD_axes = qPerD.add_subplot(111)
# static line in graph
qPerD_axes.axhline(y = dChartY[4], color='#56E419', linestyle='--')
qPerD_axes.axvline(x = dChartX[4], color='#56E419', linestyle='--')
###
qPerD_axes.set_ylabel (u"qall (ton/m\N{SUPERSCRIPT TWO})")
qPerD_axes.set_xlabel ("D Base steps")
qPerD_axes.plot(dChartX, dChartY, marker = "o" , color = "green")
qPerD_shape = FigureCanvas(qPerD)
tool = NavigationToolbar(qPerD_shape, self)
self.graphWindowLayout.addWidget(tool, 0 , 1)
self.graphWindowLayout.addWidget(qPerD_shape , 1 , 1)
qPerD_axes.grid(linewidth=0.5, alpha=0.5)
qPerD_shape.mpl_connect('motion_notify_event', on_mouse_move)
lChartX = []
lChartY = []
lChartX.append(float(self.L.text()))
for i in range (1 , self.steps + 1):
lChartX.append (float(self.L.text()) + (i * float(self.LStep.text())))
lChartX.append (float(self.L.text()) - (i * float(self.LStep.text())))
lChartX.sort()
for L in lChartX :
Nq = self.calculate_Nq_vesic()
Nc = self.calculate_Nc_vesic(Nq)
Ngamma = self.calculate_Ngamma_vesic(Nq)
Sc = self.calculate_Sc_vesic(Nq , Nc , float (self.B.text()) , L)
Sq = self.calculate_Sq_vesic( float (self.B.text()) , L )
Sgamma = self.calculate_Sgamma_vesic (float (self.B.text()) , L)
dc = self.calculate_dc_vesic( float(self.DBase.text()) , float (self.B.text()))
dq = self.calculate_dq_vesic(float(self.DBase.text()) , float (self.B.text()))
dgamma = self.calculate_dgamma_vesic()
bc = self.calculate_bc_vesic()
bq = self.calculate_bq_vesic()
bgamma = self.calculate_ggamma_vesic()
ca = self.calculate_ca_vesic()
Af = self.calculate_Af_vesic(float(self.B.text()) , L)
mB = self.calculate_mB_vesic(float(self.B.text()) , L)
mL = self.calculate_mL_vesic(float(self.B.text()) , L)
m = self.calculate_m_vesic(mB , mL)
iq = self.calculate_iq_vesic(Af , ca , m)
igamma = self.calculate_igamma_vesic( Af , ca , m)
ic = self.calculate_ic_vesic(iq , Nq)
gc = self.calculate_gc_vesic ( iq)
gq = self.calculate_gq_vesic ()
ggamma = self.calculate_ggamma_vesic()
q = self.calculate_q_terzaghi(float(self.DBase.text()))
qu = self.calculate_qu_hansen(Nc , Sc , dc , ic , gc , bc , q , Nq , Sq , dq , iq , gq , bq , Ngamma , Sgamma , dgamma , igamma , ggamma , bgamma)
qall = self.calculate_qall_terzaghi(qu)
lChartY.append(qall)
qPerL = Figure(figsize=(5, 3), dpi=100)
qPerL.text(0.4 , 0.9 ,"qall per L steps", fontsize=10, color='silver')
qPerL_axes = qPerL.add_subplot(111)
# static line in graph
qPerL_axes.axhline(y = lChartY[4], color='#FB903D', linestyle='--')
qPerL_axes.axvline(x = lChartX[4], color='#FB903D', linestyle='--')
###
qPerL_axes.set_ylabel (u"qall (ton/m\N{SUPERSCRIPT TWO})")
qPerL_axes.set_xlabel ("L steps")
qPerL_axes.plot(lChartX, lChartY, marker = "o" , color="red")
qPerL_shape = FigureCanvas(qPerL)
tool = NavigationToolbar(qPerL_shape, self)
qPerL_axes.grid(linewidth=0.5, alpha=0.5)
self.graphWindowLayout.addWidget(tool, 2 , 0)
self.graphWindowLayout.addWidget(qPerL_shape , 3 , 0)
qPerL_shape.mpl_connect('motion_notify_event', on_mouse_move)
self.graphWindow.exec()
def resetAll (self , layout):
theInputs = [self.Dwat , self.gammawat , self.fos ,self.B , self.L , self.DBase , self.eta , self.psi , self.Qh , self.Qv , self.DStep , self.BStep , self.LStep , self.l1_gammawet , self.l1_gammasat , self.l1_fi , self.l1_c , self.l1_d, self.l2_gammawet , self.l2_gammasat , self.l2_fi , self.l2_c , self.l2_d, self.l3_gammawet , self.l3_gammasat , self.l3_fi , self.l3_c , self.l3_d, self.l4_gammawet , self.l4_gammasat , self.l4_fi , self.l4_c , self.l4_d]
for inp in theInputs:
inp.clear()
self.graphButton.setEnabled(False)
# This funtion put the result in the consule under the inputs
# def results_terzaghi (self , layout):
# self.resultGridLayout = QGridLayout ()
# self.resultBox1 = QGroupBox("Results : ")
# self.resultBox2 = QGroupBox("")
# self.resultPart1 = QFormLayout()
# self.resultPart2 = QFormLayout()
# self.NqLabel.setText("N۹ = " + "%.2f" %self.calculate_Nq_terzaghi())
# self.NcLabel.setText("N꜀ = " + "%.2f" %self.calculate_Nc_terzaghi(self.calculate_Nq_terzaghi()))
# self.NgammaLabel.setText("N\u03B3 = " + "%.2f" %self.calculate_Ngamma_terzaghi(self.calculate_KPgamma_terzaghi()))
# self.ScLabel.setText("S꜀ = " + "%.2f" %self.calculate_Sc_terzaghi(float(self.B.text()) , float(self.L.text())))
# self.SqLabel.setText("S۹ = " + "%.2f" %self.calculate_Sq_terzaghi())
# self.SgammaLabel.setText("S\u03B3 = " + "%.2f" %self.calculate_Sgamma_terzaghi(float(self.B.text()) , float(self.L.text())))
# # MISHE BARAYE MOHASEBE QU AZ MAGHAADIIR LABEL HAYE BALA ESTEFADE KARD ...!
# qu = self.calculate_qu_terzaghi(float(self.B.text()) , self.calculate_Nc_terzaghi(self.calculate_Nq_terzaghi()) , self.calculate_Sc_terzaghi(float(self.B.text()) , float(self.L.text())) , self.calculate_q_terzaghi (float(self.DBase.text())), self.calculate_Nq_terzaghi() , self.calculate_Sq_terzaghi() , self.calculate_Ngamma_terzaghi(self.calculate_KPgamma_terzaghi()) , self.calculate_Sgamma_terzaghi(float(self.B.text()), float(self.L.text())) )
# self.quLabel.setText("qᵤ = " + "%.2f" %qu)
# self.qallLabel.setText("qₐₗₗ = " + "%.2f" %self.calculate_qall_terzaghi(qu))
# self.resultPart1.addRow (self.NqLabel)
# self.resultPart1.addRow (self.NcLabel)
# self.resultPart1.addRow (self.NgammaLabel)
# self.resultPart1.addRow (self.ScLabel)
# self.resultPart2.addRow (self.SqLabel)
# self.resultPart2.addRow (self.SgammaLabel)
# self.resultPart2.addRow (self.quLabel)
# self.resultPart2.addRow (self.qallLabel)
# self.resultBox1.setLayout(self.resultPart1)
# self.resultBox2.setLayout(self.resultPart2)
# self.resultGridLayout.addWidget(self.resultBox1 , 0 , 0 )
# self.resultGridLayout.addWidget(self.resultBox2 , 0 , 1 )
# self.layout.addLayout(self.resultGridLayout , 4 , 0 )
# This funtion put the result in the consule under the inputs
# def results_meyerhof(self , layout):
# self.resultGridLayout = QGridLayout ()
# self.resultBox1 = QGroupBox("Results : ")
# self.resultBox2 = QGroupBox("")
# self.resultPart1 = QFormLayout()
# self.resultPart2 = QFormLayout()
# Nq = self.calculate_Nq_meyerhof()
# Nc = self.calculate_Nc_meyerhof(self.calculate_Nq_meyerhof())
# Ngamma = self.calculate_Ngamma_meyerhof(self.calculate_Nq_meyerhof())
# beta = self.calculate_beta_meyerhof()
# dc = self.calculate_dc_meyerhof(self.calculate_KP_meyerhof() , float(self.DBase.text()) , float(self.B.text()))
# Sc = self.calculate_Sc_meyerhof(self.calculate_KP_meyerhof(), float(self.L.text()) , float(self.B.text()) )
# ic = self.calculate_ic_meyerhof(beta)
# iq = self.calculate_iq_meyerhof(beta)
# Sgamma = self.calculate_Sgamma_meyerhof(self.calculate_KP_meyerhof() , float(self.L.text()) , float(self.B.text()) )
# Sq = self.calculate_Sq_meyerhof(self.calculate_KP_meyerhof() , float(self.L.text()) , float(self.B.text()) )
# dgamma = self.calculate_dgamma_meyerhof(self.calculate_KP_meyerhof() , float(self.DBase.text()) , float(self.B.text()) )
# igamma = self.calculate_igamma_meyerhof(beta)
# dq = self.calculate_dq_meyerhof(self.calculate_KP_meyerhof() , float(self.DBase.text()) , float(self.B.text()) )
# self.NqLabel.setText("N۹ = " + "%.2f" %Nq)
# self.NcLabel.setText("N꜀ = " + "%.2f" %Nc)
# self.NgammaLabel.setText("N\u03B3 = " + "%.2f" %Ngamma)
# self.betaLabel.setText("\u03B2 = " + "%.2f" %beta)
# self.dcLabel.setText("d꜀ = " + "%.2f" %dc)
# self.ScLabel.setText("S꜀ = " + "%.2f" %Sc)
# qu = self.calculate_qu_meyerhof( Nc , Sc , dc , ic , self.calculate_q_terzaghi(float(self.DBase.text())) , Nq , Sq , dq , iq , float(self.B.text()) , Ngamma , Sgamma , dgamma , igamma )
# self.quLabel.setText("qᵤ = " + "%.2f" %qu)
# self.qallLabel.setText("qₐₗₗ = " + "%.2f" %self.calculate_qall_meyerhof(qu))
# self.resultPart1.addRow (self.NqLabel)
# self.resultPart1.addRow (self.NcLabel)
# self.resultPart1.addRow (self.NgammaLabel)
# self.resultPart1.addRow (self.betaLabel)
# self.resultPart2.addRow (self.dcLabel)
# self.resultPart2.addRow (self.ScLabel)
# self.resultPart2.addRow (self.quLabel)
# self.resultPart2.addRow (self.qallLabel)
# self.resultBox1.setLayout(self.resultPart1)
# self.resultBox2.setLayout(self.resultPart2)
# self.resultGridLayout.addWidget(self.resultBox1 , 0 , 0 )
# self.resultGridLayout.addWidget(self.resultBox2 , 0 , 1 )
# self.layout.addLayout(self.resultGridLayout , 4 , 0 )
# This funtion put the result in the consule under the inputs
# def results_hansen (self , layout):
# self.resultGridLayout = QGridLayout ()
# self.resultBox1 = QGroupBox("Results : ")
# self.resultBox2 = QGroupBox("")
# self.resultPart1 = QFormLayout()
# self.resultPart2 = QFormLayout()
# Nq = self.calculate_Nq_hansen()
# Nc = self.calculate_Nc_hansen(self.calculate_Nq_hansen())
# Ngamma = self.calculate_Ngamma_hansen(self.calculate_Nq_hansen())
# Sc = self.calculate_Sc_hansen(self.calculate_Nq_hansen() , self.calculate_Nc_hansen(Nq) , float (self.B.text()) , float (self.L.text()))
# Sq = self.calculate_Sq_hansen( float (self.B.text()) , float (self.L.text()) )
# Sgamma = self.calculate_Sgamma_hansen (float (self.B.text()) , float (self.L.text()))
# dc = self.calculate_dc_hansen( float(self.DBase.text()) , float (self.B.text()))
# dq = self.calculate_dq_hansen(float(self.DBase.text()) , float (self.B.text()))
# dgamma = self.calculate_dgamma_hansen()
# bc = self.calculate_bc_hansen()
# bq = self.calculate_bq_hansen()
# bgamma = self.calculate_ggamma_hansen()
# gc = self.calculate_gc_hansen()
# gq = self.calculate_gq_hansen()
# ggamma = self.calculate_ggamma_hansen()
# ca = self.calculate_ca_hansen()
# Af = self.calculate_Af_hansen(float (self.B.text()) , float (self.L.text()))
# m = self.calculate_m_hansen(self.calculate_mB_hansen(float (self.B.text()) , float (self.L.text())) , self.calculate_mL_hansen(float (self.B.text()) , float (self.L.text())) )
# iq = self.calculate_iq_hansen(Af , ca , m)
# igamma = self.calculate_igamma_hansen(Af , ca , m)
# ic = self.calculate_ic_hansen(iq , Nq)
# q = self.calculate_q_terzaghi(float(self.DBase.text()))
# self.NqLabel.setText("N۹ = " + "%.2f" %Nq)
# self.NcLabel.setText("N꜀ = " + "%.2f" %Nc)
# self.NgammaLabel.setText("N gamma = " + "%.2f" %Ngamma)
# self.dcLabel.setText("d꜀ = " + "%.2f" %dc)
# self.ScLabel.setText("S꜀ = " + "%.2f" %Sc)
# qu = self.calculate_qu_hansen(Nc , Sc , dc , ic , gc , bc , q , Nq , Sq , dq , iq , gq , bq , Ngamma , Sgamma , dgamma , igamma , ggamma , bgamma)
# self.quLabel.setText("qᵤ = " + "%.2f" %qu)
# self.qallLabel.setText("qₐₗₗ = " + "%.2f" %self.calculate_qall_meyerhof(qu))
# self.resultPart1.addRow (self.NqLabel)
# self.resultPart1.addRow (self.NcLabel)
# self.resultPart1.addRow (self.NgammaLabel)
# self.resultPart2.addRow (self.dcLabel)
# self.resultPart2.addRow (self.ScLabel)
# self.resultPart2.addRow (self.quLabel)
# self.resultPart2.addRow (self.qallLabel)
# self.resultBox1.setLayout(self.resultPart1)
# self.resultBox2.setLayout(self.resultPart2)
# self.resultGridLayout.addWidget(self.resultBox1 , 0 , 0 )
# self.resultGridLayout.addWidget(self.resultBox2 , 0 , 1 )
# self.layout.addLayout(self.resultGridLayout , 4 , 0 )
# This funtion put the result in the consule under the inputs
# def results_vesic(self , layout):
# self.resultGridLayout = QGridLayout ()
# self.resultBox1 = QGroupBox("Results : ")