tide_widget.py

#!/usr/bin/python3

import sys
from pathlib import Path
from PyQt5.QtCore import Qt
from PyQt5.QtWidgets import (QApplication, QWidget, QTextBrowser, QLineEdit, QFileDialog, QDialog,
                             QGridLayout, QMessageBox, QVBoxLayout, QComboBox, QLabel, QCheckBox,
                             QPushButton, QCalendarWidget, QDoubleSpinBox, QSpinBox, QRadioButton,
                             QTableWidget, QScrollArea, QTableWidgetItem, QHeaderView)
from PyQt5.QtGui import QIcon
import pandas as pd
import numpy as np
from ttide import t_tide, t_utils
from utide import solve, reconstruct
from matplotlib.dates import date2num
import matplotlib.pyplot as plt
from pandas.plotting import register_matplotlib_converters
register_matplotlib_converters()
import tide_merge
from statistics import mode
import glob
import os


def resource_path(relative_path):
    '''Get the absolute path to the resource, works for dev and for PyInstaller'''
    try:
        # PyInstaller creates a temp folder and stores path in _MEIPASS
        base_path = sys._MEIPASS
    except Exception:
        base_path = os.path.abspath(".")
    return os.path.join(base_path, relative_path)



class TideWidget(QWidget):

    def __init__(self):
        super(TideWidget, self).__init__()

        self.initUI()


    def mergeData(self):
        '''Calling data merger (tide_merge.py)'''

        tide_merge.main()


    def initUI(self):
        '''Main Widget UI'''

        self.setGeometry(300, 100, 480, 640)
        self.setWindowTitle('Tide Analysis and Prediction GUI')
        self.setWindowIcon(QIcon(resource_path('icons/wave-pngrepo-com.png')))

        loadFilesButton = QPushButton('Load Data')
        loadFilesButton.clicked.connect(self.loadDataDialog)

        mergeButton = QPushButton('Merge Data')
        mergeButton.clicked.connect(self.mergeData)
        plotObsButton = QPushButton('Plot Observation Data')
        plotObsButton.clicked.connect(self.plotLoad)

        timeHeaderLabel = QLabel('Time Header:')
        self.timeHeaderCB = QComboBox()

        depthHeaderLabel = QLabel('Depth Header:')
        self.depthHeaderCB = QComboBox()

        dayFirstLabel = QLabel('Day First:')
        self.dayFirstCB = QComboBox()
        self.dayFirstCB.addItems(['True', 'False'])

        self.table = QTableWidget()
        scroll = QScrollArea()
        scroll.setWidget(self.table)

        self.methodLabel = QLabel()
        self.methodLabel.setAlignment(Qt.AlignRight)
        tideAnalysisLabel = QLabel()
        tideAnalysisLabel.setText('Tidal Analysis Method')
        tideAnalysisLabel.setAlignment(Qt.AlignLeft)
        self.ttideButton = QRadioButton('T Tide')
        self.ttideButton.toggled.connect(self.methodButton)
        self.ttideButton.setChecked(True)
        self.utideButton = QRadioButton('U Tide')
        self.utideButton.toggled.connect(self.methodButton)

        latLabel = QLabel('Latitude (dd.ddddd):')
        self.latDSB = QDoubleSpinBox()
        self.latDSB.setRange(-90.0, 90.0)
        self.latDSB.setDecimals(6)
        self.latDSB.setValue(0.000001)

        self.saveLocLineForm = QLineEdit()
        saveLocButton = QPushButton('Save File Location')
        saveLocButton.clicked.connect(self.savePathDialog)

        startcalLabel = QLabel('Start Date')
        startcalLabel.setAlignment(Qt.AlignHCenter)
        self.startcal = QCalendarWidget()

        endcalLabel = QLabel('End Date')
        endcalLabel.setAlignment(Qt.AlignHCenter)
        self.endcal = QCalendarWidget()

        freqLabel = QLabel('Time Interval:')
        self.freqSB = QSpinBox()
        self.freqSB.setValue(1)
        self.freqUnitCB = QComboBox()
        self.freqUnitCB.addItems(['hours', 'minutes'])

        solveButton = QPushButton('Analyse Tide')
        solveButton.clicked.connect(self.analyse)
        predicButton = QPushButton('Predict Tide')
        predicButton.clicked.connect(self.predict)

        self.saveCheckBox = QCheckBox('Save Prediction')
        self.saveCheckBox.setChecked(True)
        self.saveCheckBox.toggled.connect(self.checkBox)
        self.saveState = QLabel(self.saveCheckBox.text())

        self.plotCheckBox = QCheckBox('Plot Prediction')
        self.plotCheckBox.setChecked(True)
        self.plotCheckBox.toggled.connect(self.checkBox)
        self.plotState = QLabel(self.plotCheckBox.text())


        howToButton = QPushButton('How To Use')
        howToButton.clicked.connect(self.howToDialog)
        aboutButton = QPushButton('About')
        aboutButton.clicked.connect(self.aboutDialog)

        grid = QGridLayout()
        vbox = QVBoxLayout()

        grid.addWidget(loadFilesButton, 1, 1, 1, 2)
        grid.addWidget(mergeButton, 1, 3, 1, 2)

        grid.addWidget(dayFirstLabel, 2, 1, 1, 1)
        grid.addWidget(self.dayFirstCB, 2, 2, 1, 1)
        grid.addWidget(plotObsButton, 2, 3, 1, 2)

        grid.addWidget(timeHeaderLabel, 3, 1, 1, 1)
        grid.addWidget(self.timeHeaderCB, 3, 2, 1, 1)
        grid.addWidget(depthHeaderLabel, 3, 3, 1, 1)
        grid.addWidget(self.depthHeaderCB, 3, 4, 1, 1)

        grid.addWidget(self.table, 4, 1, 5, 4)

        grid.addWidget(self.methodLabel, 9, 1, 1, 2)
        grid.addWidget(tideAnalysisLabel, 9, 3, 1, 2)

        grid.addWidget(self.ttideButton, 10, 1, 1, 2)
        grid.addWidget(self.utideButton, 10, 3, 1, 2)

        grid.addWidget(latLabel, 11, 1, 1, 1)
        grid.addWidget(self.latDSB, 11, 2, 1, 1)
        grid.addWidget(saveLocButton, 11, 3, 1, 1)
        grid.addWidget(self.saveLocLineForm, 11, 4, 1, 1)

        grid.addWidget(startcalLabel, 12, 1, 1, 2)
        grid.addWidget(endcalLabel, 12, 3, 1, 2)

        grid.addWidget(self.startcal, 13, 1, 1, 2)
        grid.addWidget(self.endcal, 13, 3, 1, 2)

        grid.addWidget(freqLabel, 14, 1, 1, 1)
        grid.addWidget(self.freqSB, 14, 2, 1, 2)
        grid.addWidget(self.freqUnitCB, 14, 4, 1, 1)

        grid.addWidget(self.saveCheckBox, 15, 2, 1, 1)
        grid.addWidget(self.plotCheckBox, 15, 3, 1, 1)
        grid.addWidget(solveButton, 15, 1, 1, 1)
        grid.addWidget(predicButton, 15, 4, 1, 1)


        vbox.addStretch(1)
        grid.addLayout(vbox, 20, 1)
        grid.addWidget(howToButton, 21, 1, 1, 2)
        grid.addWidget(aboutButton, 21, 3, 1, 2)
        self.setLayout(grid)


    def loadDataDialog(self):
        '''Load Data Widget UI'''

        loadData = QDialog()
        loadData.setWindowTitle('Load Data')
        loadData.setWindowIcon(QIcon(resource_path('icons/load-pngrepo-com.png')))

        openFilesButton = QPushButton('Open File(s)')
        openFilesButton.clicked.connect(self.filesDialog)
        openFolderButton = QPushButton('Open Folder')
        openFolderButton.clicked.connect(self.folderDialog)

        sepLabel = QLabel('Separator:')
        self.sepCB = QComboBox()
        self.sepCB.addItems(['Tab', 'Comma', 'Space', 'Semicolon'])

        textTypeLabel = QLabel('Text Type')
        self.textTypeCB = QComboBox()
        self.textTypeCB.addItems(['.txt', '.csv', '.dat'])

        headerLineLabel = QLabel('Header Starting Line:')
        self.headerLineSB = QSpinBox()
        self.headerLineSB.setMinimum(1)

        dataLineLabel = QLabel('Data Starting Line:')
        self.dataLineSB = QSpinBox()
        self.dataLineSB.setMinimum(1)

        locLabel = QLabel('Location:')
        self.locList = QTextBrowser()

        self.showCheckBox = QCheckBox('Show All Data to Table')
        self.showCheckBox.setChecked(False)
        self.showCheckBox.toggled.connect(self.showCheckBoxState)
        self.showState = QLabel()

        cancelButton = QPushButton('Cancel')
        cancelButton.clicked.connect(loadData.close)
        loadButton = QPushButton('Load')
        loadButton.clicked.connect(self.loadAction)
        loadButton.clicked.connect(loadData.close)

        grid = QGridLayout()
        grid.addWidget(openFilesButton, 1, 1, 1, 2)
        grid.addWidget(openFolderButton, 1, 3, 1, 2)

        grid.addWidget(sepLabel, 2, 1, 1, 1)
        grid.addWidget(self.sepCB, 2, 2, 1, 1)
        grid.addWidget(textTypeLabel, 2, 3, 1, 1)
        grid.addWidget(self.textTypeCB, 2, 4, 1, 1)

        grid.addWidget(headerLineLabel, 3, 1, 1, 1)
        grid.addWidget(self.headerLineSB, 3, 2, 1, 1)
        grid.addWidget(dataLineLabel, 3, 3, 1, 1)
        grid.addWidget(self.dataLineSB, 3, 4, 1, 1)

        grid.addWidget(locLabel, 4, 1, 1, 1)

        grid.addWidget(self.locList, 5, 1, 10, 4)

        grid.addWidget(self.showCheckBox, 15, 1, 1, 2)
        grid.addWidget(loadButton, 15, 3, 1, 1)
        grid.addWidget(cancelButton, 15, 4, 1, 1)

        loadData.setLayout(grid)

        loadData.exec_()


    def showCheckBoxState(self):

        if self.showCheckBox.isChecked() == True:
            self.showState.setText(self.showCheckBox.text())
        else:
            self.showState.setText('unchecked')


    def filesDialog(self):
        '''Load from files Dialog'''

        home_dir = str(Path.home())
        fileFilter = 'All Files (*.*) ;; Text Files (*.txt) ;; Comma Separated Value (*.csv) ;; DAT Files (*.dat)'
        selectedFilter = 'Text Files (*.txt)'
        fname = QFileDialog.getOpenFileNames(self, 'Open File(s)', home_dir, fileFilter, selectedFilter)

        global filesList
        filesList = fname[0]

        fileListPrint = ''

        for file in filesList:
            fileListPrint += file + '\n'

        self.locList.setText(fileListPrint)


    def folderDialog(self):
        '''Load from folder Dialog'''

        home_dir = str(Path.home())
        fname = QFileDialog.getExistingDirectory(self, 'Open Folder', home_dir)

        textTypeDict = {'.txt': '.[Tt][Xx][Tt]', '.csv': '.[Cc][Ss][Vv]', '.dat': '.[Dd][Aa][Tt]'}
        textTypeSelect = textTypeDict[self.textTypeCB.currentText()]

        pathName = fname + '/**/*' + textTypeSelect

        global filesList
        filesList = glob.glob(pathName, recursive=True)

        fileListPrint = ''

        for file in filesList:
            fileListPrint += file + '\n'

        self.locList.setText(fileListPrint)


    def loadDataDict(self):
        '''Raw data merger'''

        head = self.headerLineSB.value() - 1
        start_data = self.dataLineSB.value() - 1
        sepDict = {'Tab': '\t', 'Comma': ',', 'Space': ' ', 'Semicolon': ';'}
        sepSelect = sepDict[self.sepCB.currentText()]

        dummy = []

        for file in filesList:
            raw_single = pd.read_csv(file, sep=sepSelect, header=head)
            raw_single = raw_single.iloc[start_data:, 0:]

            dummy.append(raw_single)

        global raw
        raw = pd.concat(dummy, ignore_index=True, sort=False)

        return raw


    def loadAction(self):
        '''Data loader into Main Widget table'''

        raw = self.loadDataDict()

        if self.showState.text() == 'Show All Data to Table':
            data = raw
        else:
            data = raw.head(100)

        self.timeHeaderCB.clear()
        self.timeHeaderCB.addItems(data.columns)
        self.depthHeaderCB.clear()
        self.depthHeaderCB.addItems(data.columns)

        self.table.setColumnCount(len(data.columns))
        self.table.setRowCount(len(data.index))

        for h in range(len(data.columns)):
            self.table.setHorizontalHeaderItem(h, QTableWidgetItem(data.columns[h]))

        for i in range(len(data.index)):
            for j in range(len(data.columns)):
                self.table.setItem(i, j, QTableWidgetItem(str(data.iloc[i, j])))

        self.table.resizeRowsToContents()
        self.table.resizeColumnsToContents()


    def savePathDialog(self):
        '''Save file dialog'''

        home_dir = str(Path.home())
        fname = QFileDialog.getSaveFileName(self, 'Save File', home_dir, 'Text files (*.txt)')
        filePath = (str(Path(fname[0])))
        self.saveLocLineForm.setText(filePath)


    def str2bool(self, v):
        '''Transform string to boolean'''

        return v in ('True')


    def inputDict1(self):
        '''
        Dictionary 1 containing pre-processed time and depth values and time interval between records.
        Processing initial input value from Main Widget
        '''

        data = raw.copy()

        time = self.timeHeaderCB.currentText()
        depth = self.depthHeaderCB.currentText()
        dayF = self.str2bool(self.dayFirstCB.currentText())

        data[time] = pd.to_datetime(data[time], dayfirst=dayF)
        data.index = data[time]
        data = data.sort_index()

        time_array = data.index

        start_time = time_array[:-1]
        end_time = time_array[1:]
        time_diff_array = end_time - start_time

        time_diff = mode(time_diff_array)
        time_diff_float = np.timedelta64(time_diff, 'm').astype('float64')

        time_gap_div = np.where((time_diff_array > time_diff) & (time_diff_array % time_diff / time_diff == 0))
        time_gap_undiv = np.where((time_diff_array > time_diff) & (time_diff_array % time_diff / time_diff != 0))

        start_gap_div = start_time[time_gap_div] + time_diff
        end_gap_div = end_time[time_gap_div] - time_diff

        start_gap_undiv = start_time[time_gap_undiv] + time_diff
        end_gap_undiv = end_time[time_gap_undiv]

        data_dummy = []

        for i in range(len(start_gap_div)):
            if time_gap_div == []:
                pass
            else:
                time_add = pd.date_range(start=start_gap_div[i], end=end_gap_div[i], freq=time_diff)

                nan_add = pd.DataFrame({time:time_add, depth:pd.Series(np.nan, index=list(range(len(time_add))))})
                nan_add.index = nan_add[time]
                nan_add = nan_add.iloc[:, 1:]
                data_dummy.append(nan_add)

        for i in range(len(start_gap_undiv)):
            if time_gap_undiv == []:
                pass
            else:
                time_add = pd.date_range(start=start_gap_undiv[i], end=end_gap_undiv[i], freq=time_diff)

                nan_add = pd.DataFrame({time: time_add, depth: pd.Series(np.nan, index=list(range(len(time_add))))})
                nan_add.index = nan_add[time]
                nan_add = nan_add.iloc[:, 1:]
                data_dummy.append(nan_add)

        if len(data_dummy) > 0:
            data_add = pd.concat(data_dummy, sort=True)
            filled = pd.concat([data, data_add], sort=True)
        else:
            filled = data.copy()
        filled = filled.sort_index()
        time_array2 = filled.index
        depth_array2 = filled[depth].values

        input_dict = {'depth':depth_array2, 'time':time_array2, 'interval':time_diff_float}

        return input_dict


    def inputDict2(self):
        '''
        Dictionary 2 containing pre-processed analysis inputs
        (i.e latitude, predicted time, and save file location)
        '''

        startcal_string = self.startcal.selectedDate().toString(Qt.ISODate)
        endcal_string = self.endcal.selectedDate().toString(Qt.ISODate)

        freq_unit_dict = {'hours':'H', 'minutes':'min'}
        freq_unit_value = freq_unit_dict[self.freqUnitCB.currentText()]

        if self.latDSB.value() == 0.0 or self.freqSB.value() == 0:
            self.zeroWarning()
            lat = None
        else:
            lat = self.latDSB.value()
            frequency = str(self.freqSB.value()) + freq_unit_value

        time_predic = pd.date_range(start=startcal_string, end=endcal_string, freq=frequency)

        save_file = self.saveLocLineForm.text()

        input_dict = {'latitude':lat, 'predicted time':time_predic, 'save':save_file}

        return input_dict


    def plotLoad(self):
        '''Observation data plotter'''

        input_dict = self.inputDict1()

        ad = input_dict['depth']
        at = input_dict['time']

        plt.figure(figsize=(10, 5))
        plt.plot(at, ad, label='Tide Observation Data')
        plt.xlabel('Time')
        plt.ylabel('Water Level')
        plt.legend(loc='best')
        plt.show()


    def plotPredic(self, water_level, msl):
        '''Predicted data plotter'''

        input_dict2 = self.inputDict2()

        ad = water_level
        at = input_dict2['predicted time']
        data_label = 'Predicted Data using ' + self.methodLabel.text()

        plt.figure(figsize=(10, 5))
        plt.plot(at, ad, label=data_label)
        plt.axhline(msl, color='r', label='MSL = ' + str(msl))
        plt.xlabel('Time')
        plt.ylabel('Water Level')
        plt.legend(loc='best')
        plt.show()


    def methodButton(self):

        method_button = self.sender()
        if method_button.isChecked():
            self.methodLabel.setText(method_button.text())


    def checkBox(self):

        if self.saveCheckBox.isChecked() == True:
            self.saveState.setText(self.saveCheckBox.text())
        else:
            self.saveState.setText('unchecked')

        if self.plotCheckBox.isChecked() == True:
            self.plotState.setText(self.plotCheckBox.text())
        else:
            self.plotState.setText('unchecked')


    def analyse(self):
        '''Analysis processing and reporting correspond to selected method'''

        input_dict2 = self.inputDict2()
        save_file = input_dict2['save']

        method_dict = {'T Tide':self.ttideAnalyse, 'U Tide':self.utideAnalyse}
        method = self.methodLabel.text()
        coef = method_dict[method]()

        method = method.replace(' ', '-')
        # text_edit = '_' + method + '_report.txt'
        # save_file = save_file.replace('.txt', text_edit)

        if method == 'T-Tide':
            print_coef = t_utils.pandas_style(coef)
            report = open(save_file, 'w')
            report.write(print_coef)
        elif method == 'U-Tide':
            print_coef = pd.DataFrame({'name': coef.name, 'frq': coef.aux.frq, 'lind': coef.aux.lind,
            'A': coef.A, 'g': coef.g, 'A_ci': coef.A_ci, 'g_ci': coef.g_ci, 'PE': coef.diagn['PE'],
            'SNR': coef.diagn['SNR']})
            print_coef.index = print_coef['name']
            print_coef = print_coef.iloc[:, 1:]
            print_coef.to_csv(save_file, sep='\t')


    def predict(self):
        '''Prediction (analysis included) processing correspond to selected method'''

        input_dict2 = self.inputDict2()
        save_file = input_dict2['save']

        method_dict = {'T Tide':self.ttidePredict, 'U Tide':self.utidePredict}
        method = self.methodLabel.text()
        prediction = method_dict[method]()

        time = input_dict2['predicted time']

        if method == 'T Tide':
            water_level = prediction['prediction']
        elif method == 'U Tide':
            p_dict = prediction['prediction']
            water_level = p_dict['h']

        predic_out = pd.DataFrame({'Time':time, 'Depth':water_level})


        if self.saveState.text() == 'Save Prediction':
            # method = method.replace(' ', '-')
            # text_edit = '_' + method + '.txt'
            # save_file = save_file.replace('.txt', text_edit)

            predic_out.to_csv(save_file, sep='\t', index=False)
        else:
            pass

        if self.plotState.text() == 'Plot Prediction':
            self.plotPredic(water_level, prediction['MSL'])
        else:
            pass

        if self.saveState.text() == 'unchecked' and self.plotState.text() == 'unchecked':
            self.showPredicDialog(predic_out)


    def ttideAnalyse(self):
        '''T Tide Analysis processing'''

        input_dict1 = self.inputDict1()
        input_dict2 = self.inputDict2()
        ad = input_dict1['depth']
        at = input_dict1['time']
        latitude = input_dict2['latitude']
        time_diff = input_dict1['interval'] / 60
        time_num = date2num(at.to_pydatetime())

        coef = t_tide(ad, dt=time_diff, stime=time_num[0], lat=latitude, synth=0)

        return coef


    def ttidePredict(self):
        '''T Tide Prediction processing'''

        input_dict2 = self.inputDict2()

        time_predic = input_dict2['predicted time']
        time_predic_num = date2num(time_predic.to_pydatetime())

        coef = self.ttideAnalyse()
        msl = coef['z0']
        predic = coef(time_predic_num) + msl

        return {'prediction':predic, 'MSL':msl}


    def utideAnalyse(self):
        '''U Tide Analysis processing'''

        input_dict1 = self.inputDict1()
        input_dict2 = self.inputDict2()
        ad = input_dict1['depth']
        at = input_dict1['time']

        time_num = date2num(at.to_pydatetime())
        latitude = input_dict2['latitude']

        coef = solve(time_num, ad, lat=latitude, trend=False, method='robust')

        return coef


    def utidePredict(self):
        '''U Tide Prediction processing'''

        input_dict2 = self.inputDict2()

        time_predic = input_dict2['predicted time']
        time_predic_num = date2num(time_predic.to_pydatetime())

        coef = self.utideAnalyse()
        msl = coef.mean
        predic = reconstruct(time_predic_num, coef, min_SNR=0)

        return {'prediction':predic, 'MSL':msl}


    def zeroWarning(self):

        zeroWarning = QMessageBox()
        zeroWarning.setWindowTitle('Warning')
        zeroWarning.setIcon(QMessageBox.Critical)
        zeroWarning.setText('Cannot process zero value.')

        zeroWarning.exec_()


    def showPredicDialog(self, data):
        '''Showing prediction data in a form of table'''

        showPredic = QDialog()
        showPredic.setWindowTitle('Tide Prediction')
        showPredic.setWindowIcon(QIcon(resource_path('icons/wave-pngrepo-com.png')))
        showPredic.resize(320, 720)
        closeButton = QPushButton('Close')
        closeButton.clicked.connect(showPredic.close)

        table = QTableWidget()
        header = table.horizontalHeader()
        scroll = QScrollArea()
        grid = QGridLayout()
        scroll.setWidget(table)
        grid.addWidget(table, 1, 1, 25, 4)
        grid.addWidget(closeButton, 26, 4, 1, 1)
        showPredic.setLayout(grid)

        table.setColumnCount(len(data.columns))
        table.setRowCount(len(data.index))

        for h in range(len(data.columns)):
            table.setHorizontalHeaderItem(h, QTableWidgetItem(data.columns[h]))

        for i in range(len(data.index)):
            for j in range(len(data.columns)):
                table.setItem(i, j, QTableWidgetItem(str(data.iloc[i, j])))

        header.setSectionResizeMode(0, QHeaderView.ResizeToContents)
        header.setSectionResizeMode(1, QHeaderView.Stretch)
        showPredic.exec_()


    def howToDialog(self):
        '''How to use the GUI'''

        howTo = QDialog()
        howTo.setWindowTitle('How to Use')
        howTo.setWindowIcon(QIcon(resource_path('icons/question-pngrepo-com.png')))
        closeButton = QPushButton('Close')
        closeButton.clicked.connect(howTo.close)

        how_to_use = open('how_to_use.txt', 'r')
        howToLabel = QLabel('The details of how to use this tide analysis GUI is as follows:')
        howToTextBrowser = QTextBrowser()
        howToTextBrowser.setText(how_to_use.read())

        grid = QGridLayout()
        grid.addWidget(howToLabel, 1, 1, 1, 4)
        grid.addWidget(howToTextBrowser, 2, 1, 50, 4)
        grid.addWidget(closeButton, 52, 4, 1, 1)
        howTo.setLayout(grid)

        howTo.exec_()


    def aboutDialog(self):
        '''About the GUI'''

        about = QDialog()
        about.setWindowTitle('About')
        about.setWindowIcon(QIcon(resource_path('icons/information-pngrepo-com.png')))
        closeButton = QPushButton('Close')
        closeButton.clicked.connect(about.close)

        aboutText = '''<body>
        This is a tidal analysis GUI using T Tide and U Tide (both Python version).
        <br><\br><br><\br>
        The GUI itself was developed by
        <a href=\'https://github.com/rifqiharrys/tide_pyqt5'>Rifqi Muhammad Harrys</a>
        using PyQt5, a python GUI library.
        <br><\br><br><\br>
        Both T Tide and U Tide developed by two different entities.
        <br><\br>
        The original versions of <a href=\'https://www.eoas.ubc.ca/~rich/#T_Tide'>T Tide</a> and
        <a href=\'https://www.mathworks.com/matlabcentral/fileexchange/46523-utide-unified-tidal-analysis-and-prediction-functions?w.mathworks.com'>U Tide</a>
        are in MATLAB language developed by R. Pawlowicz et. al (T Tide) and Daniel Codiga (U Tide).<br><\br><br><\br>
        The python version of <a href=\'https://github.com/moflaher/ttide_py'>T Tide</a> and
        <a href=\'https://github.com/wesleybowman/UTide'>U Tide</a> were developed by moflaher (T Tide) and Wesley Bowman (U Tide).
        <br><\br><br><\br>
        A description of the theoretical basis of the analysis and some implementation details
        of T Tide and U Tide Matlab version can be found in:
        </body>'''

        tideCite = '''
        <cite>R. Pawlowicz, B. Beardsley, and S. Lentz,
        "Classical tidal harmonic analysis including error estimates in MATLAB using
        T_TIDE", Computers and Geosciences 28 (2002), 929-937.</cite>
        <br><\br><br><\br>
        <cite>Codiga, D.L., 2011. Unified Tidal Analysis and Prediction Using the
        UTide Matlab Functions. Technical Report 2011-01. Graduate School of Oceanography,
        University of Rhode Island, Narragansett, RI. 59pp.</cite>
        '''

        aboutLabel1 = QLabel(aboutText)
        aboutLabel1.setWordWrap(True)
        aboutLabel1.setOpenExternalLinks(True)
        aboutLabel2 = QLabel(tideCite)
        aboutLabel2.setTextInteractionFlags(Qt.TextSelectableByMouse)
        aboutLabel2.setWordWrap(True)
        aboutTB = QTextBrowser()
        aboutTB.setText(tideCite)
        grid = QGridLayout()
        grid.addWidget(aboutLabel1, 1, 1, 1, 4)
        grid.addWidget(aboutTB, 2, 1, 1, 4)
        grid.addWidget(closeButton, 3, 4, 1, 1)

        about.setLayout(grid)

        about.exec_()



def main():

    global tide
    tide = TideWidget()
    tide.show()


if __name__ == '__main__':
    app = QApplication(sys.argv)
    main()
    sys.exit(app.exec_())