profilevisualization.py

                xyz = [(x0,x1),(y0,y1),(z0,z1)]
                l = len(dataPos)
                for iPos, pos in enumerate(dataPos):
                    x,y,z, style = pos
                    assert isinstance(style, TemporalProfile3DPlotStyle)
                    if not style.isVisible():
                        continue
                    arr = np.asarray((x,y,z), dtype=np.float64).transpose()

                    for i, m in enumerate(xyz):
                        m0, m1 = m
                        arr[:, i] = (arr[:,i] - m0)/(m1-m0)

                    plt = gl.GLLinePlotItem(pos=arr,
                                            #color=pg.glColor((i, n * 1.3)),
                                            #color=pg.glColor(255,123,123,125),
                                            #color=pg.glColor((iPos, l * 1.3)),
                                            color=pg.glColor(style.color()),
                                            width=1.0,
                                            antialias=True)

                    self.glPlotDataItems.append(plt)



                for i, item in enumerate(self.glPlotDataItems):
                   w.addItem(item)
                #self.glGridItem.scale(0.1,0.1,0.1, local=False)

                #w.setBackgroundColor(QColor('black'))
                #w.setCameraPosition(pos=(0.0, 0.0, 0.0), distance=1.)
                w.addItem(self.glGridItem)
                w.update()
                """
                for sensor, values in data.items():
                    if len(values['z']) > 0:
                        x = values['x']
                        y = values['y']
                        z = values['z']
                        
                        p2 = gl.GLSurfacePlotItem(x=x, y=y, z=z, shader='normalColor')
                        p2.translate(-10, -10, 0)
                        w.addItem(p2)
                """

    @QtCore.pyqtSlot()
    def updatePlot2D(self):
        if isinstance(self.plotSettingsModel2D, PlotSettingsModel2D):
            if DEBUG:
                print('Update plot...')

            pi = self.plot2D.getPlotItem()
            piDataItems = pi.listDataItems()

            locations = set()
            for plotSetting in self.plotSettingsModel2D:
                assert isinstance(plotSetting, TemporalProfile2DPlotStyle)
                locations.add(plotSetting.temporalProfile().mCoordinate)

                for pdi in plotSetting.mPlotItems:
                    assert isinstance(pdi, TemporalProfilePlotDataItem)
                    pdi.updateDataAndStyle()




            #for i in pi.dataItems:
            #    i.updateItems()

            #self.plot2D.update()
            #2. load pixel data
            self.loadCoordinate(list(locations))

            # https://github.com/pyqtgraph/pyqtgraph/blob/5195d9dd6308caee87e043e859e7e553b9887453/examples/customPlot.py
            return




def examplePixelLoader():

    # prepare QGIS environment
    if sys.platform == 'darwin':
        PATH_QGS = r'/Applications/QGIS.app/Contents/MacOS'
        os.environ['GDAL_DATA'] = r'/usr/local/Cellar/gdal/1.11.3_1/share'
    else:
        # assume OSGeo4W startup
        PATH_QGS = os.environ['QGIS_PREFIX_PATH']
    assert os.path.exists(PATH_QGS)

    qgsApp = QgsApplication([], True)
    QApplication.addLibraryPath(r'/Applications/QGIS.app/Contents/PlugIns')
    QApplication.addLibraryPath(r'/Applications/QGIS.app/Contents/PlugIns/qgis')
    qgsApp.setPrefixPath(PATH_QGS, True)
    qgsApp.initQgis()


    gb = QGroupBox()
    gb.setTitle('Sandbox')

    PL = PixelLoader()
    PL.setNumberOfThreads(2)

    if False:
        files = ['observationcloud/testdata/2014-07-26_LC82270652014207LGN00_BOA.bsq',
                 'observationcloud/testdata/2014-08-03_LE72270652014215CUB00_BOA.bsq'
                 ]
    else:
        from timeseriesviewer.utils import file_search
        searchDir = r'H:\LandsatData\Landsat_NovoProgresso'
        files = file_search(searchDir, '*227065*band4.img', recursive=True)
        #files = files[0:3]

    lyr = QgsRasterLayer(files[0])
    coord = lyr.extent().center()
    crs = lyr.crs()

    l = QVBoxLayout()

    btnStart = QPushButton()
    btnStop = QPushButton()
    prog = QProgressBar()
    tboxResults = QPlainTextEdit()
    tboxResults.setMaximumHeight(300)
    tboxThreads = QPlainTextEdit()
    tboxThreads.setMaximumHeight(200)
    label = QLabel()
    label.setText('Progress')

    def showProgress(n,m,md):
        prog.setMinimum(0)
        prog.setMaximum(m)
        prog.setValue(n)

        info = []
        for k, v in md.items():
            info.append('{} = {}'.format(k,str(v)))
        tboxResults.setPlainText('\n'.join(info))
        #tboxThreads.setPlainText(PL.threadInfo())
        qgsApp.processEvents()

    PL.sigPixelLoaded.connect(showProgress)
    btnStart.setText('Start loading')
    btnStart.clicked.connect(lambda : PL.startLoading(files, coord, crs))
    btnStop.setText('Cancel')
    btnStop.clicked.connect(lambda: PL.cancelLoading())
    lh = QHBoxLayout()
    lh.addWidget(btnStart)
    lh.addWidget(btnStop)
    l.addLayout(lh)
    l.addWidget(prog)
    l.addWidget(tboxThreads)
    l.addWidget(tboxResults)

    gb.setLayout(l)
    gb.show()
    #rs.setBackgroundStyle('background: qlineargradient(x1:0, y1:0, x2:0, y2:1, stop:0 #222, stop:1 #333);')
    #rs.handle.setStyleSheet('background: qlineargradient(x1:0, y1:0, x2:0, y2:1, stop:0 #282, stop:1 #393);')
    qgsApp.exec_()
    qgsApp.exitQgis()

if __name__ == '__main__':
    import site, sys
    from timeseriesviewer import utils
    qgsApp = utils.initQgisApplication()
    DEBUG = False

    if False: #the ultimative test for floating point division correctness, at least on a DOY-level
        date1 = np.datetime64('1960-12-31','D')
        assert date1 == num2date(date2num(date1))
        #1960 - 12 - 31
        for year in  range(1960, 2057):
            for doy in range(1, daysPerYear(year)+1):
                dt = datetime.timedelta(days=doy - 1)
                date1 = np.datetime64('{}-01-01'.format(year)) + np.timedelta64(doy-1,'D')
                date2 = datetime.date(year=year, month=1, day=1) + datetime.timedelta(days=doy-1)

                assert date1 == num2date(date2num(date1), dt64=True), 'date1: {}'.format(date1)
                assert date2 == num2date(date2num(date2), dt64=False), 'date2: {}'.format(date1)

    ui = ProfileViewDockUI()
    ui.show()

    if True:
        TS = TimeSeries()
        STVis = SpectralTemporalVisualization(ui)
        STVis.setTimeSeries(TS)

        import example.Images
        from timeseriesviewer import file_search
        files = file_search(os.path.dirname(example.Images.__file__), '*.tif')
        TS.addFiles(files)
        ext = TS.getMaxSpatialExtent()
        cp1 = SpatialPoint(ext.crs(),ext.center())
        cpND = SpatialPoint(ext.crs(), 681151.214,-752388.476)
        cp2 = SpatialPoint(ext.crs(), ext.center())
        cp3 = SpatialPoint(ext.crs(), ext.center().x()+500, ext.center().y()+250)

        STVis.loadCoordinate(cpND)
        STVis.loadCoordinate(cp2)
        STVis.loadCoordinate(cp3)
        STVis.createNewPlotStyle()

        if False:
            for tp in STVis.tpCollection:
                assert isinstance(tp, TemporalProfile)
                tp.plot()


    qgsApp.exec_()
    qgsApp.exitQgis()