"git@scm.cms.hu-berlin.de:jakimowb/eo-time-series-viewer.git" did not exist on "45ff9baff04c18ec82b9ff2d4ae1fd959798863c"
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for plotStyle in self.plotSettingsModel2D:
assert isinstance(plotStyle, TemporalProfile2DPlotStyle)
if plotStyle.isPlotable():
locations.add(plotStyle.temporalProfile().mCoordinate)
for pdi in plotStyle.mPlotItems:
assert isinstance(pdi, TemporalProfilePlotDataItem)
pdi.updateDataAndStyle()
#2. load pixel data
self.loadCoordinate(list(locations))
# https://github.com/pyqtgraph/pyqtgraph/blob/5195d9dd6308caee87e043e859e7e553b9887453/examples/customPlot.py
return
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# 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()
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
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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
qgsApp = utils.initQgisApplication(qgisDebug=True)
import itertools
lot = list(itertools.product([1,2,3,4,5,6,7], [87,88,89]))
arr = np.asanyarray(lot, dtype=tuple)
lot = [(1,2),(2,3)]
t1 =(1,2)
t2 =(2,3,3,4,5)
arr[0,0] = t1
arr[1,1] = t2
if False:
f = QgsFeature()
fields = QgsFields()
field = QgsField('b', QVariant.Double, 'double', 40, 5)
fields.append(field)
f.setFields(fields)
expr = QgsExpression('b')
for n in [23, 42.24, None]:
f.setAttribute('b', n)
context = QgsExpressionContextUtils.createFeatureBasedContext(f, f.fields())
r = expr.evaluate(context)
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)
STVis = SpectralTemporalVisualization(ui)
STVis.setTimeSeries(TS)
files = file_search(os.path.dirname(example.Images.__file__), '*.tif')
for tsd in TS:
ext = tsd.spatialExtent()
if ext.crs().description() != '':
break
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.createNewPlotStyle2D()
def addProfile():
x0,y1 = ext.upperLeftPt()
x1,y0 = ext.lowerRightPt()
x = x0 + (x1 - x0) * np.random.sample()
y = y0 + (y1 - y0) * np.random.sample()
pt = SpatialPoint(ext.crs(), x, y)
btn = QPushButton('Add Profile')
btn.clicked.connect(addProfile)
btn.show()
if False:
for tp in STVis.tpCollection:
assert isinstance(tp, TemporalProfile)
tp.plot()
#STVis.tpCollection.removeTemporalProfiles(STVis.tpCollection[-1])
STVis.createNewPlotStyle3D()

Benjamin Jakimow
committed
from example import exampleEvents
#STVis.loadCoordinatesFromOgr(exampleEvents)
# STVis.loadCoordinate(cp2)
# STVis.loadCoordinate(cp3)