-
Notifications
You must be signed in to change notification settings - Fork 0
/
randomized.py
141 lines (119 loc) · 5.02 KB
/
randomized.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
from PyQt5 import QtWidgets,QtGui,QtCore
from PyQt5.QtWidgets import (QApplication,QMainWindow,QTabWidget,QDoubleSpinBox,QSpinBox, QCheckBox, QGridLayout, QGroupBox,QLineEdit,
QMenu, QPushButton,QLabel,QComboBox,QRadioButton, QVBoxLayout,QHBoxLayout, QWidget,QProgressBar,QTableWidget,QTableWidgetItem)
from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg as FigureCanvas
from matplotlib.backends.backend_qt5agg import NavigationToolbar2QT as NavigationToolbar
import matplotlib.pyplot as plt
import random
import seaborn as sns
import numpy as np
from load_utils import randomizedPoisson
from constants import *
class Randomized(QGroupBox):
def __init__(self):
super(Randomized, self).__init__("Randomized")
self.initUI()
self.plot_empty()
def initUI(self):
Hbox=QHBoxLayout()
load_buttons=QGridLayout()
load_name_label = QLabel("Name")
self.load_name_input = QLineEdit("Randomized")
load_type_label=QLabel("Pulse Type")
self.load_type=QComboBox()
self.load_type.addItem("triangular")
load_mean_label=QLabel("Mean (in KN)")
self.load_mean_input=QSpinBox()
self.load_mean_input.setRange(0,300)
self.load_mean_input.setValue(150)
load_std_label=QLabel("Std (in KN)")
self.load_std_input=QSpinBox()
self.load_std_input.setRange(0,150)
self.load_std_input.setValue(40)
self.m_dist_type_label = QLabel("Type of Distribution")
self.m_dist = QComboBox()
self.m_dist.addItem("Normal")
self.m_dist.addItem("Uniform")
self.m_dist.addItem("Lognormal")
self.m_dist.addItem("Exponential")
self.m_dist.addItem("Gumbel")
self.m_dist.addItem("Weibull")
self.load_generate_button=QPushButton("Generate")
load_duration_label=QLabel("Duration (in minutes)")
self.load_duration_input=QSpinBox()
self.load_duration_input.setRange(0,1000)
self.load_duration_input.setValue(400)
load_time_period_label=QLabel("Rate(Inv lambda ,in days)")
self.load_time_period_input=QSpinBox()
self.load_time_period_input.setRange(0,365)
self.load_time_period_input.setValue(7)
self.load_generate_button=QPushButton("Generate and Preview")
self.load_generate_button.clicked.connect(self.generate_load)
load_buttons.addWidget(load_name_label,1,1)
load_buttons.addWidget(self.load_name_input,1,2)
load_buttons.addWidget(load_type_label,2,1)
load_buttons.addWidget(self.load_type,2,2)
load_buttons.addWidget(load_mean_label,3,1)
load_buttons.addWidget(self.load_mean_input,3,2)
load_buttons.addWidget(load_std_label,4,1)
load_buttons.addWidget(self.load_std_input,4,2)
load_buttons.addWidget(self.m_dist_type_label,5,1)
load_buttons.addWidget(self.m_dist,5,2)
load_buttons.addWidget(load_duration_label,6,1)
load_buttons.addWidget(self.load_duration_input,6,2)
load_buttons.addWidget(load_time_period_label,7,1)
load_buttons.addWidget(self.load_time_period_input,7,2)
load_buttons.addWidget(self.load_generate_button,8,1)
self.figure = plt.figure()
self.canvas = FigureCanvas(self.figure)
Hbox.addLayout(load_buttons)
Hbox.addWidget(self.canvas)
self.setLayout(Hbox)
def get_load_row(self):
#fetch data here
load_name = self.load_name_input.text()
load_type=self.load_type.currentText()
load_mean=self.load_mean_input.value()
load_std=self.load_std_input.value()
load_dist = self.m_dist.currentText()
load_duration = self.load_duration_input.value()
time_period = self.load_time_period_input.value()
return [load_name,load_type,load_mean,load_std,load_dist,load_duration,time_period,"-","-","-","-"]
def plot(self):
self.figure.clear()
ax = self.figure.add_subplot(111)
ax.clear()
# plot data
#ax.plot(self.load)
t_year = np.linspace(0, 1, num_data_points)
ax.plot(t_year,self.load)
# refresh canvas
self.canvas.draw()
def plot_empty(self):
self.figure.clear()
ax = self.figure.add_subplot(111)
ax.clear()
# plot data
#ax.plot(self.load)
t_year = np.linspace(0, 1, num_data_points)
self.load= np.zeros(num_data_points)
ax.plot(t_year,self.load)
# refresh canvas
self.canvas.draw()
def generate_load(self):
data=self.get_load_row()
load= np.zeros((num_data_points))
load+=self.gen_load_case(data)
self.load=load
self.plot()
#return load
def gen_load_case(self,data):
load_type= data[1]
load= np.zeros((num_data_points))
mean=int(data[2])
std = int(data[3])
dist = data[4]
duration = int(data[5])
time_period = int(data[6])*(24*60)
load = randomizedPoisson(load_type,mean,std,duration,time_period,dist)
return load