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results.py
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results.py
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# Python BEM - Blade Element Momentum Theory Software.
# Copyright (C) 2022 M. Smrekar
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <https://www.gnu.org/licenses/>.
import json
import warnings
import matplotlib as mpl
import matplotlib.cbook
import matplotlib.pyplot as plt
import numpy as np
from PyQt5 import QtWidgets
from PyQt5.QtGui import QIcon
from PyQt5.QtWidgets import (QComboBox, QMainWindow, QWidget, QAction, QFileDialog)
from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg as FigureCanvas
from matplotlib.backends.backend_qt5agg import NavigationToolbar2QT as NavigationToolbar
from matplotlib.figure import Figure
from UI.Table import Table
from calculation import OUTPUT_VARIABLES_LIST
from utils import dict_to_ar, greek_letters_to_string, transpose, filter_3d_results
warnings.filterwarnings("ignore", category=matplotlib.cbook.MatplotlibDeprecationWarning)
class ResultsWindow(QMainWindow):
"""
"""
def __init__(self, parent, width, height, results_3d, input_data):
super(ResultsWindow, self).__init__(parent)
self.input_data = input_data
self.results_3d = results_3d
self.title = "Results"
self.statusBar()
mainMenu = self.menuBar()
fileMenu = mainMenu.addMenu('&File')
saveFile = QAction("&Export to JSON", self)
saveFile.setShortcut("Ctrl+S")
saveFile.setStatusTip('Export to JSON')
saveFile.triggered.connect(self.export)
fileMenu.addAction(saveFile)
self.screen_width = width
self.screen_height = height
self.setWindowTitle(self.title)
self.setGeometry(int(self.screen_width * 0.125), int(self.screen_height * 0.125), int(self.screen_width * 0.75),
int(self.screen_width * 0.75 * 0.4))
self.tab_widget = TabWidget(self)
self.setCentralWidget(self.tab_widget)
# list_of_variable_parameter = []
if input_data["variable_selection"] == 0:
list_of_variable_parameter = np.array(results_3d["TSR"])
variable_parameter_title = r"$\lambda$"
elif input_data["variable_selection"] == 1:
list_of_variable_parameter = np.array(results_3d["TSR"])
variable_parameter_title = r"$\lambda$"
elif input_data["variable_selection"] == 2:
list_of_variable_parameter = np.array(results_3d["J"])
variable_parameter_title = "J"
elif input_data["variable_selection"] == 3:
list_of_variable_parameter = np.array(results_3d["pitch"])
variable_parameter_title = "pitch"
elif input_data["variable_selection"] == 4:
list_of_variable_parameter = np.array(results_3d["pitch"])
variable_parameter_title = "TSR"
########### CP(lambda) CURVE ###############
if input_data["turbine_type"] == 0: # wind turbine
f2 = self.tab_widget.add_tab_figure("Cp curve")
mat = np.array(
[results_3d["TSR"], results_3d["cp"], results_3d["pitch"], results_3d["blade_stall_percentage"]])
# transpose
mat = mat.transpose()
# sort by multiple columns
r = np.core.records.fromarrays([mat[:, 2], mat[:, 0]], names='a,b')
mat = mat[r.argsort()]
# split at different column values
dif = np.diff(mat[:, 2])
ind_split = np.where(dif != 0)[0]
splitted = np.split(mat, ind_split + 1)
ax_cp = f2.add_subplot(111)
ax_cp.set_title(r"$C_{P}-\lambda$")
ax_cp.set_xlabel(r"$\lambda$")
ax_cp.set_ylabel(r"$C_{P}$")
ax_cp.grid()
for a in splitted:
x = a[:, 0]
y = a[:, 1]
label = str(round(a[0, 2], 2))
stall = (1 - a[:, 3])
ax_cp.plot(x, y, label=label)
sc = ax_cp.scatter(x, y, c=stall, cmap="RdYlGn")
norm = mpl.colors.Normalize(vmin=0, vmax=1)
sm = plt.cm.ScalarMappable(cmap="RdYlGn", norm=norm)
sm.set_array([])
cbar = plt.colorbar(sm, ticks=[0, 0.5, 1])
cbar.set_label("Stalled area")
cbar.ax.set_yticklabels(["100 %", "50 %", "0 %"])
if len(splitted) > 1:
ax_cp.legend(title="Pitch [°]")
############################################
############ Propeller curves ##############
if input_data["turbine_type"] == 1: # propeller
f3 = self.tab_widget.add_tab_figure("Prop curves")
J, eff, ct, cp, cq = results_3d["J"], results_3d["eff"], results_3d["ct"], results_3d["cp"], results_3d[
"cq"]
ax3 = f3.add_subplot(111)
ax3.set_title("Propeller curves")
ax3.set_xlabel("J")
ax3.set_ylabel(r"$\eta$")
ax3.grid()
ax3.plot(J, eff, "-g", label=r"$\eta$")
ax3_2 = ax3.twinx()
ax3_2.plot(J, ct, "-r", label=r"$C_T$")
ax3_2.plot(J, cp, "-b", label=r"$C_P$")
ax3_2.plot(J, cq, "-", color="orange", label=r"$C_Q$")
ax3_2.set_ylabel(r"$C_T, C_P, C_Q$")
f3.legend(loc="center right")
if input_data["turbine_type"] == 1: # propeller
f4 = self.tab_widget.add_tab_figure("Propeller efficency")
mat = np.array([results_3d["J"], results_3d["eff"], results_3d["pitch"]])
# transpose
mat = mat.transpose()
# sort by multiple columns
r = np.core.records.fromarrays([mat[:, 2], mat[:, 0]], names='a,b')
mat = mat[r.argsort()]
# split at different column values
dif = np.diff(mat[:, 2])
ind_split = np.where(dif != 0)[0]
splitted = np.split(mat, ind_split + 1)
ax_cp = f4.add_subplot(111)
ax_cp.set_title(r"Propeller efficiency")
ax_cp.set_xlabel(r"J")
ax_cp.set_ylabel(r"$\eta$")
ax_cp.grid()
for a in splitted:
x = a[:, 0]
y = a[:, 1]
label = str(round(a[0, 2], 2)) # label by pitch
ax_cp.plot(x, y, label=label)
if len(splitted) > 1:
ax_cp.legend(title="Pitch [°]")
############################################
############ geometry check ################
array_geom = []
for r in range(len(input_data["r"])):
_r = input_data["r"][r]
_c = input_data["c"][r]
_theta = input_data["theta"][r]
_dr = input_data["dr"][r]
array_geom.append([input_data["r"][r], input_data["c"]
[r], input_data["theta"][r], input_data["dr"][r], ])
t_geom = Table()
t_geom.createTable(array_geom)
t_geom.set_labels(["r", "c", "theta", "dr"])
self.tab_widget.add_tab_widget(t_geom, "Geometry check")
############################################
########### data ###########################
data = dict_to_ar(results_3d)
names = []
symbols_and_units = []
for i in data[0]:
names.append(OUTPUT_VARIABLES_LIST[i]["name"])
symbol = OUTPUT_VARIABLES_LIST[i]["symbol"]
symbol = greek_letters_to_string(symbol)
symbol = symbol.replace("$", "")
unit = OUTPUT_VARIABLES_LIST[i]["unit"]
unit = unit.replace("$", "")
if unit == "":
symbols_and_units.append(symbol)
else:
symbols_and_units.append(symbol + " [" + unit + "]")
del data[0]
data.insert(0, names)
data.insert(1, symbols_and_units)
t = Table()
t.createTable(data)
self.tab_widget.add_tab_widget(t, "Data")
############################################
########## CUSTOM GRAPH ####################
self.custom_graph = CustomGraphWidget(self)
self.custom_graph.set_data(results_3d)
self.tab_widget.add_tab_widget(self.custom_graph, "Custom graph")
############################################
self.show()
def closeEvent(self, event):
"""
:param event:
"""
for f in self.tab_widget.figures:
f.clear()
plt.close(f)
event.accept() # let the window close
def set_menubar(self):
"""
"""
mainMenu = self.menuBar()
fileMenu = mainMenu.addMenu("File")
exitButton = QAction(QIcon("exit24.png"), "Exit", self)
exitButton.setShortcut("Ctrl+Q")
exitButton.setStatusTip("Exit application")
exitButton.triggered.connect(exit)
fileMenu.addAction(exitButton)
def export(self):
"""
"""
name = QFileDialog.getSaveFileName(self, 'Save File', "", "JSON (*.json)")[0]
if name != "":
d = self.results_3d
d_out = filter_3d_results(d)
print(d_out)
json_d = json.dumps(d_out)
file = open(name, 'w')
file.write(json_d)
file.close()
class TabWidget(QtWidgets.QTabWidget):
"""
"""
def __init__(self, parent=None):
super(TabWidget, self).__init__(parent)
self.tabs = []
self.figures = []
self.canvas = []
self.toolbars = []
def add_tab_figure(self, tab_name):
"""
:param tab_name:
:return:
"""
self.tabs.append(QtWidgets.QWidget())
self.addTab(self.tabs[-1], tab_name)
self.figures.append(plt.figure(figsize=(10, 5)))
self.canvas.append(FigureCanvas(self.figures[-1]))
toolbar = NavigationToolbar(self.canvas[-1], self)
layout = QtWidgets.QVBoxLayout()
layout.addWidget(self.canvas[-1])
layout.addWidget(toolbar)
self.tabs[-1].setLayout(layout)
return self.figures[-1]
def add_tab_widget(self, widget, tab_name):
"""
:param widget:
:param tab_name:
"""
self.tabs.append(widget)
self.addTab(self.tabs[-1], tab_name)
class CustomGraphWidget(QWidget):
"""
"""
def __init__(self, parent=None):
super(CustomGraphWidget, self).__init__(parent)
self.parent = parent
self.figure = Figure()
self.canvas = FigureCanvas(self.figure)
self.toolbar = NavigationToolbar(self.canvas, self)
self.ax = self.figure.add_subplot(111)
self.layout = QtWidgets.QGridLayout()
self.layout.addWidget(self.canvas, 1, 1)
self.layout.addWidget(self.toolbar, 2, 1)
self.table = Table()
self.layout.addWidget(self.table, 1, 2)
self.comboBox_x = QComboBox(self)
self.comboBox_y = QComboBox(self)
self.layout.addWidget(self.comboBox_x, 3, 1)
self.layout.addWidget(self.comboBox_y, 4, 1)
self.inverse_list = {}
list_of_options = []
for k, v in OUTPUT_VARIABLES_LIST.items():
if v["unit"] != "":
var_name = v["name"] + " " + v["symbol"] + " [" + v["unit"] + "]"
else:
var_name = v["name"] + " " + v["symbol"]
var_name = greek_letters_to_string(var_name)
var_name = var_name.replace("$", "")
list_of_options.append(var_name)
self.inverse_list[var_name] = k
list_of_options.sort()
for l in list_of_options:
self.comboBox_x.addItem(l)
self.comboBox_y.addItem(l)
# self.button_draw = QPushButton("Draw")
# self.layout.addWidget(self.button_draw)
# self.button_draw.clicked.connect(self.draw_graph)
self.comboBox_x.currentTextChanged.connect(self.draw_graph)
self.comboBox_y.currentTextChanged.connect(self.draw_graph)
self.setLayout(self.layout)
def draw_graph(self):
"""
"""
self.ax.clear()
# set variable
print("Current variable parameter:", self.parent.input_data["variable_selection"])
if self.parent.input_data["variable_selection"] == 0:
list_of_variable_parameter = np.array(self.results["TSR"])
variable_parameter_title = r"$\lambda$"
elif self.parent.input_data["variable_selection"] == 1:
list_of_variable_parameter = np.array(self.results["TSR"])
variable_parameter_title = r"$\lambda$"
elif self.parent.input_data["variable_selection"] == 2:
list_of_variable_parameter = np.array(self.results["J"])
variable_parameter_title = "J"
elif self.parent.input_data["variable_selection"] == 3:
list_of_variable_parameter = np.array(self.results["pitch"])
variable_parameter_title = "pitch"
elif self.parent.input_data["variable_selection"] == 4:
list_of_variable_parameter_1 = np.array(self.results["pitch"])
variable_parameter_title_1 = "pitch"
list_of_variable_parameter_2 = np.array(self.results["TSR"])
variable_parameter_title_2 = "TSR"
x_data = self.inverse_list[str(self.comboBox_x.currentText())]
y_data = self.inverse_list[str(self.comboBox_y.currentText())]
x_ar = np.array(self.results[x_data])
y_ar = np.array(self.results[y_data])
# set labels
xlabel = OUTPUT_VARIABLES_LIST[x_data]["symbol"]
if OUTPUT_VARIABLES_LIST[x_data]["unit"] != "":
xlabel = xlabel + " [" + OUTPUT_VARIABLES_LIST[x_data]["unit"] + "]"
ylabel = OUTPUT_VARIABLES_LIST[y_data]["symbol"]
if OUTPUT_VARIABLES_LIST[y_data]["unit"] != "":
ylabel = ylabel + " [" + OUTPUT_VARIABLES_LIST[y_data]["unit"] + "]"
is_3d = False
type_x = OUTPUT_VARIABLES_LIST[x_data]["type"]
type_y = OUTPUT_VARIABLES_LIST[y_data]["type"]
try:
self.figure.delaxes(self.ax)
except Exception as e:
print(e)
print("Did not find axes, not deleting...")
pass
if type_x == "array" and type_y == "array":
print("case 1")
self.ax = self.figure.add_subplot(111)
x_ar = np.transpose(x_ar)
y_ar = np.transpose(y_ar)
self.ax.plot(x_ar, y_ar, label="2d plot")
self.ax.legend(np.round(list_of_variable_parameter, 2), title=variable_parameter_title)
# data_table = np.column_stack((x_ar,y_ar))
# data_table=transpose(data_table)
self.table.createTable(y_ar)
# self.table.clear_table()
elif type_x == "array" and type_y == "float":
print("case 2")
self.ax = self.figure.add_subplot(111)
# x_ar=np.transpose(x_ar)
# y_ar=np.transpose(y_ar)
self.ax.plot(x_ar, y_ar, label="2d plot")
self.ax.legend(self.parent.input_data["r"], title="r [m]")
data_table = np.column_stack((y_ar, x_ar))
self.table.createTable(data_table)
elif type_x == "float" and type_y == "array":
print("case 3")
self.ax = self.figure.add_subplot(111)
x_ar = np.transpose(x_ar)
self.ax.plot(x_ar, y_ar, label="2d plot")
self.ax.legend(self.parent.input_data["r"], title="r [m]")
data_table = list(np.column_stack((x_ar, y_ar)))
self.table.createTable(data_table)
elif type_x == "float" and type_y == "float":
print("case 4")
self.ax = self.figure.add_subplot(111)
self.ax.plot(x_ar, y_ar, label="2d plot")
data_table = [x_ar, y_ar]
data_table = transpose(data_table)
self.table.createTable(data_table)
self.ax.set_title(OUTPUT_VARIABLES_LIST[y_data]["name"] + " vs. " + OUTPUT_VARIABLES_LIST[x_data]["name"])
self.ax.set_xlabel(xlabel)
self.ax.set_ylabel(ylabel)
self.canvas.draw()
def set_data(self, results):
"""
:param results:
"""
self.results = results
self.draw_graph()