class MPlotWidget(QtGui.QWidget):
def __init__(self, parent=None):
super(MPlotWidget, self).__init__(parent)
self.figure = plt.figure()
self.canvas = FigureCanvas(self.figure)
self.toolbar = NavigationToolbar(self.canvas, self)
self.toolbar.hide()
self.plotbutton = QtGui.QPushButton('Plot')
self.zoombutton = QtGui.QPushButton('Zoom')
self.zoombutton.clicked.connect(self.zoom)
self.panbutton = QtGui.QPushButton('Pan')
self.panbutton.clicked.connect(self.pan)
self.homebutton = QtGui.QPushButton('Home')
self.homebutton.clicked.connect(self.home)
self.savebutton = QtGui.QPushButton('Save')
self.savebutton.clicked.connect(self.save)
layout = QtGui.QVBoxLayout()
layout.addWidget(self.toolbar)
layout.addWidget(self.canvas)
buttonbox = QtGui.QHBoxLayout()
buttonbox.addWidget(self.plotbutton)
buttonbox.addWidget(self.zoombutton)
buttonbox.addWidget(self.panbutton)
buttonbox.addWidget(self.homebutton)
buttonbox.addWidget(self.savebutton)
layout.addLayout(buttonbox)
self.setLayout(layout)
self.ax = self.figure.add_subplot(111)
self.ax.hold(False)
def home(self):
self.toolbar.home()
def zoom(self):
self.toolbar.zoom()
def pan(self):
self.toolbar.pan()
def save(self):
self.figure.savefig('1.png')
"""
class Window(QtGui.QDialog):
def __init__(self, parent=None):
super(Window, self).__init__(parent)
self.figure = plt.figure()
self.canvas = FigureCanvas(self.figure)
self.toolbar = NavigationToolbar(self.canvas, self)
self.toolbar.hide()
# Just some button
self.button = QtGui.QPushButton('Plot')
self.button.clicked.connect(self.plot)
self.button1 = QtGui.QPushButton('Zoom')
self.button1.clicked.connect(self.zoom)
self.button2 = QtGui.QPushButton('Pan')
self.button2.clicked.connect(self.pan)
self.button3 = QtGui.QPushButton('Home')
self.button3.clicked.connect(self.home)
# set the layout
layout = QtGui.QVBoxLayout()
layout.addWidget(self.toolbar)
layout.addWidget(self.canvas)
layout.addWidget(self.button)
layout.addWidget(self.button1)
layout.addWidget(self.button2)
layout.addWidget(self.button3)
self.setLayout(layout)
def home(self):
self.toolbar.home()
def zoom(self):
self.toolbar.zoom()
def pan(self):
self.toolbar.pan()
def plot(self):
''' plot some random stuff '''
data = [random.random() for i in range(25)]
ax = self.figure.add_subplot(111)
ax.hold(False)
ax.plot(data, '*-')
self.canvas.draw()
class Window(QtGui.QDialog):
def __init__(self, parent=None):
super(Window, self).__init__(parent)
self.figure = plt.figure()
self.canvas = FigureCanvas(self.figure)
self.toolbar = NavigationToolbar(self.canvas, self)
self.toolbar.hide()
# Just some button
self.button = QtGui.QPushButton('Plot')
self.button.clicked.connect(self.plot)
self.button1 = QtGui.QPushButton('Zoom')
self.button1.clicked.connect(self.zoom)
self.button2 = QtGui.QPushButton('Pan')
self.button2.clicked.connect(self.pan)
self.button3 = QtGui.QPushButton('Home')
self.button3.clicked.connect(self.home)
# set the layout
layout = QtGui.QVBoxLayout()
layout.addWidget(self.toolbar)
layout.addWidget(self.canvas)
layout.addWidget(self.button)
layout.addWidget(self.button1)
layout.addWidget(self.button2)
layout.addWidget(self.button3)
self.setLayout(layout)
def home(self):
self.toolbar.home()
def zoom(self):
self.toolbar.zoom()
def pan(self):
self.toolbar.pan()
def plot(self):
''' plot some random stuff '''
data = [random.random() for i in range(25)]
ax = self.figure.add_subplot(111)
ax.hold(False)
ax.plot(data, '*-')
self.canvas.draw()
class Window(QtGui.QDialog):
def __init__(self, parent=None):
super(Window, self).__init__(parent)
self.figure = plt.figure()
self.canvas = FigureCanvas(self.figure)
self.toolbar = NavigationToolbar(self.canvas, self)
self.toolbar.hide()
## # Start Button
## self.button = QtGui.QPushButton('Start')
## self.button.clicked.connect(self.plot)
##
# set the layout
layout = QtGui.QVBoxLayout()
layout.addWidget(self.canvas)
## layout.addWidget(self.button)
self.setLayout(layout)
global ser, Array, num_rows, num_cols, Matrix, count, sensor_num
ser = sensorInit()
num_rows = 7
num_cols = 4
Array = bytearray(num_rows*num_cols)
Matrix = np.zeros((num_cols,num_rows))
count = 33
sensor_num = 24
#timer info
self.timer = QtCore.QBasicTimer()
self.timer.start(count, self)
self.step = 0
def timerEvent(self, event):
if event.timerId() == self.timer.timerId():
self.update()
Array = readSensors(ser, sensor_num)
Matrix = matrixConvert(Array, num_rows, num_cols)
ax = self.figure.add_subplot(111)
ax.imshow(Matrix, interpolation='nearest', cmap='Spectral')
self.canvas.draw()
super(Window, self).timerEvent(event)
class Grafica(QWidget):
valores = (20, 35, 30, 35, 27) # valores de ejemplo
def __init__(self, parent=None):
super(Grafica, self).__init__()
# FIGUREANDO
self.ordenadas = np.arange(5)
self.width = 1 # the width of the bars
self.figure, self.ax = plt.subplots()
#self.figure = plt.figure()
self.line = self.ax.bar(self.ordenadas, self.valores, self.width, color='g')
#self.line, = plt.plot(self.data)
plt.ion() # animate
N = 10
self.xs = collections.deque(maxlen=N)
self.ys = collections.deque(maxlen=N)
self.xs.append(0)
self.ys.append(0)
self.ax = self.figure.add_subplot(111)
self.ax.hold(False)
self.ax.set_ylim([0, 360])
self.canvas = FigureCanvas(self.figure)
self.toolbar = NavigationToolbar(self.canvas, self)
self.toolbar.hide()
self.canvas.show()
# set the layout
self.layout = QVBoxLayout()
self.layout.addWidget(self.toolbar)
self.layout.addWidget(self.canvas)
self.setLayout(self.layout)
def add_sample(self, valores):
self.valores = valores
self.line = self.ax.bar(self.ordenadas, self.valores, self.width, color='g')
self.canvas.draw() # update the plot
class Window(QtGui.QDialog):
def __init__(self, parent=None):
super(Window, self).__init__(parent)
self.figure = plt.figure()
self.canvas = FigureCanvas(self.figure)
self.canvas.setSizePolicy(QtGui.QSizePolicy.Preferred, QtGui.QSizePolicy.Expanding)
self.toolbar = NavigationToolbar(self.canvas, self)
self.toolbar.hide()
# Timestream info
self.timestreamLabel = QtGui.QLabel('Time-stream root path:')
self.timestreamText = QtGui.QLineEdit('')
self.timestreamText.setSizePolicy(QtGui.QSizePolicy.Preferred, QtGui.QSizePolicy.Fixed)
self.timestreamDateLabel = QtGui.QLabel('Start date (yyyy_mm_dd_hh_mm_ss):')
self.timestreamDateText = QtGui.QLineEdit('')
self.timestreamDateText.setSizePolicy(QtGui.QSizePolicy.Preferred, QtGui.QSizePolicy.Fixed)
self.timestreamTimeLabel = QtGui.QLabel('Time interval (seconds):')
self.timestreamTimeText = QtGui.QLineEdit('')
self.timestreamTimeText.setSizePolicy(QtGui.QSizePolicy.Preferred, QtGui.QSizePolicy.Fixed)
self.initStreamTimeButton = QtGui.QPushButton('&Initialise timestream by time')
self.initStreamTimeButton.clicked.connect(self.initialiseTimestreamByTime)
self.initStreamFileButton = QtGui.QPushButton('&Initialise timestream by files')
self.initStreamFileButton.clicked.connect(self.initialiseTimestreamByFiles)
# Image loading and processing
self.loadImageButton = QtGui.QPushButton('&Load (next) image')
self.loadImageButton.clicked.connect(self.loadImage)
self.rotateImageButton = QtGui.QPushButton('&Rotate 90-deg')
self.rotateImageButton.clicked.connect(self.rotateImage90Degrees)
self.slider = QtGui.QSlider(QtCore.Qt.Horizontal)
self.slider.setFocusPolicy(QtCore.Qt.StrongFocus)
self.slider.setSizePolicy(QtGui.QSizePolicy.Preferred, QtGui.QSizePolicy.Fixed)
self.slider.setTickPosition(QtGui.QSlider.TicksBothSides)
self.slider.setMinimum(-16)
self.slider.setMaximum(16)
self.slider.setValue(0)
self.slider.setTickInterval(4)
self.slider.setSingleStep(1)
self.slider.valueChanged.connect(self.rotateSmallAngle)
self.applySmallRotationButton = QtGui.QPushButton('&Apply')
self.applySmallRotationButton.clicked.connect(self.applySmallRotation)
self.loadCamCalibButton = QtGui.QPushButton('Load &cam. param.')
self.loadCamCalibButton.clicked.connect(self.loadCamCalib)
self.colorcardRadioButton = QtGui.QRadioButton('Select color car&d')
self.colorcardRadioButton.setChecked(False)
self.colorcardRadioButton.clicked.connect(self.selectWhat)
self.trayRadioButton = QtGui.QRadioButton('Select &tray')
self.trayRadioButton.setChecked(False)
self.trayRadioButton.clicked.connect(self.selectWhat)
self.trayRoundCheckBox = QtGui.QCheckBox('Round')
self.trayRoundCheckBox.setChecked(True)
self.potRadioButton = QtGui.QRadioButton('Select &pot')
self.potRadioButton.setChecked(False)
self.potRadioButton.clicked.connect(self.selectWhat)
self.zoomButton = QtGui.QPushButton('&Zoom')
self.zoomButton.setCheckable(True)
self.zoomButton.clicked.connect(self.zoom)
self.panButton = QtGui.QPushButton('&Pan')
self.panButton.setCheckable(True)
self.panButton.clicked.connect(self.pan)
self.homeButton = QtGui.QPushButton('&Home')
self.homeButton.clicked.connect(self.home)
self.correctColorButton = QtGui.QPushButton('Correct colo&r')
self.correctColorButton.clicked.connect(self.correctColor)
self.save2PipelineButton = QtGui.QPushButton('&Save as pipeline settings')
self.save2PipelineButton.clicked.connect(self.savePipelineSettings)
self.testPipelineButton = QtGui.QPushButton('Test &pipeline processing')
self.testPipelineButton.clicked.connect(self.testPipeline)
self.status = QtGui.QTextEdit('')
self.status.setSizePolicy(QtGui.QSizePolicy.Preferred, QtGui.QSizePolicy.Expanding)
self.mousePosition = QtGui.QLabel('')
# set the layout
layout = QtGui.QHBoxLayout()
rightWidget = QtGui.QWidget()
buttonlayout = QtGui.QVBoxLayout(rightWidget)
buttonlayout.addWidget(self.timestreamLabel)
buttonlayout.addWidget(self.timestreamText)
buttonlayout.addWidget(self.timestreamDateLabel)
buttonlayout.addWidget(self.timestreamDateText)
buttonlayout.addWidget(self.timestreamTimeLabel)
buttonlayout.addWidget(self.timestreamTimeText)
buttonlayout.addWidget(self.initStreamTimeButton)
buttonlayout.addWidget(self.initStreamFileButton)
buttonlayout.addWidget(self.loadImageButton)
buttonlayout.addWidget(self.loadCamCalibButton)
buttonlayout.addWidget(self.rotateImageButton)
layoutSmallRotation = QtGui.QHBoxLayout()
layoutSmallRotation.addWidget(self.slider)
layoutSmallRotation.addWidget(self.applySmallRotationButton)
buttonlayout.addLayout(layoutSmallRotation)
buttonlayout.addWidget(self.colorcardRadioButton)
layoutTrayShape = QtGui.QHBoxLayout()
layoutTrayShape.addWidget(self.trayRadioButton)
layoutTrayShape.addWidget(self.trayRoundCheckBox)
buttonlayout.addLayout(layoutTrayShape)
buttonlayout.addWidget(self.potRadioButton)
buttonlayout.addWidget(self.zoomButton)
buttonlayout.addWidget(self.panButton)
buttonlayout.addWidget(self.homeButton)
buttonlayout.addWidget(self.correctColorButton)
buttonlayout.addWidget(self.save2PipelineButton)
buttonlayout.addWidget(self.testPipelineButton)
buttonlayout.addWidget(self.status)
buttonlayout.addWidget(self.mousePosition)
rightWidget.setMaximumWidth(250)
leftLayout = QtGui.QVBoxLayout()
leftLayout.addWidget(self.toolbar)
leftLayout.addWidget(self.canvas)
layout.addWidget(rightWidget)
layout.addLayout(leftLayout)
self.setLayout(layout)
self.group = QtGui.QButtonGroup()
self.group.addButton(self.colorcardRadioButton)
self.group.addButton(self.trayRadioButton)
self.group.addButton(self.potRadioButton)
self.loadPreviousInputs()
self.panMode = False
self.zoomMode = False
self.ts = None
self.tsImages = None
self.ax = None
self.plotRect = None
self.plotImg = None
self.image = None
self.potTemplate = None
self.UndistMapX = None
self.UndistMapY = None
self.trayAspectRatio = 0.835
self.colorcardAspectRatio = 1.5
self.potAspectRatio = 1.0
self.leftClicks = []
self.colorcardParams = None
self.scriptPath = os.path.dirname(os.path.realpath(__file__))
self.timestreamRootPath = None
self.pl = None
# Ouput parameters
self.ImageSize = None
self.colorcardList = []
self.trayList = []
self.potList = []
self.rotationAngle = 0.0
self.smaleRotationAngle = 0.0
self.CameraMatrix = None
self.DistCoefs = None
self.isDistortionCorrected = False
self.settingFileName = None
def selectWhat(self):
if self.trayRadioButton.isChecked():
self.status.append('Start selecting tray.')
elif self.colorcardRadioButton.isChecked():
self.status.append('Start selecting color bar.')
else:
self.status.append('Start selecting pot.')
def home(self):
self.toolbar.home()
def zoom(self):
self.toolbar.zoom()
if not self.zoomMode:
self.zoomMode = True
self.panMode = False
self.panButton.setChecked(False)
else:
self.zoomMode = False
def pan(self):
self.toolbar.pan()
if not self.panMode:
self.panMode = True
self.zoomMode = False
self.zoomButton.setChecked(False)
else:
self.panMode = False
def initialiseTimestreamByTime(self):
self.timestreamRootPath = str(self.timestreamText.text())
if len(self.timestreamRootPath) > 0:
self.status.append('Initialise a timestream at ' + str(self.timestreamRootPath))
self.ts = timestream.TimeStream()
self.ts.load(self.timestreamRootPath)
self.status.append('Done')
startDate = None
timeInterval = None
date = str(self.timestreamDateText.text())
if len(date) > 0:
startDate = timestream.parse.ts_parse_date(date)
time = str(self.timestreamTimeText.text())
if len(time) > 0:
timeInterval = int(eval(time))
self.tsImages = self.ts.iter_by_timepoints(start = startDate, interval = timeInterval, remove_gaps=False)
self.loadImage()
else:
self.status.append('Please provide timestream root path.')
def initialiseTimestreamByFiles(self):
self.timestreamRootPath = str(self.timestreamText.text())
if len(self.timestreamRootPath) > 0:
self.status.append('Initialise a timestream at ' + str(self.timestreamRootPath))
self.ts = timestream.TimeStream()
self.ts.load(self.timestreamRootPath)
self.status.append('Done')
self.tsImages = self.ts.iter_by_files()
self.loadImage()
else:
self.status.append('Please provide timestream root path.')
def loadImage(self):
''' load and show an image'''
if self.tsImages != None:
try:
tsImage = self.tsImages.next()
if tsImage.pixels == np.array([]):
self.status.append('Missing image.')
except:
tsImage.pixels == np.array([])
self.status.append('There is no more images.')
if tsImage.pixels == np.array([]):
self.image = None
self.updateFigure()
return
self.image = tsImage.pixels
fname = tsImage.path
else:
fname = QtGui.QFileDialog.getOpenFileName(self, 'Open image', '/mnt/phenocam/a_data/TimeStreams/Borevitz/BVZ0036/BVZ0036-GC02L-C01~fullres-orig/2014/2014_06/2014_06_24/2014_06_24_08/')
app.processEvents()
if len(fname) == 0:
return
self.image = cv2.imread(str(fname))[:,:,::-1]
self.status.append('Loaded image from ' + str(fname))
# reset all outputs
# self.colorcardList = []
# self.trayList = []
# self.potList = []
self.isDistortionCorrected = False
if self.rotationAngle != None:
self.image = cd.rotateImage(self.image, self.rotationAngle + self.smaleRotationAngle)
# Undistort image if mapping available
if not self.isDistortionCorrected and self.UndistMapX != None and self.UndistMapY != None:
self.image = cv2.remap(self.image.astype(np.uint8), self.UndistMapX, self.UndistMapY, cv2.INTER_CUBIC)
self.isDistortionCorrected = True
self.updateFigure()
def changeCursor(self, event):
# cursor = Cursor(self.ax, useblit=True, color='red', linewidth=1)
self.canvas.setCursor(QtGui.QCursor(QtCore.Qt.CrossCursor ))
def updateFigure(self, image = None, resetFigure = False):
if self.image != None:
if image == None:
image = self.image
if self.ax == None:
self.ax = self.figure.add_subplot(111)
self.ax.figure.canvas.mpl_connect('button_press_event', self.onMouseClicked)
self.ax.figure.canvas.mpl_connect('motion_notify_event', self.onMouseMoves)
self.ax.figure.canvas.mpl_connect('figure_enter_event', self.changeCursor)
self.ax.hold(False)
if self.plotImg == None or resetFigure:
self.plotImg = self.ax.imshow(image)
else:
self.plotImg.set_data(image)
self.figure.tight_layout()
xs, ys = [], []
for Rect in self.colorcardList:
tl, bl, br, tr = Rect
xs = xs + [tl[0], bl[0], br[0], tr[0], tl[0], np.nan]
ys = ys + [tl[1], bl[1], br[1], tr[1], tl[1], np.nan]
for Rect in self.trayList:
tl, bl, br, tr = Rect
xs = xs + [tl[0], bl[0], br[0], tr[0], tl[0], np.nan]
ys = ys + [tl[1], bl[1], br[1], tr[1], tl[1], np.nan]
for Rect in self.potList:
tl, bl, br, tr = Rect
xs = xs + [tl[0], bl[0], br[0], tr[0], tl[0], np.nan]
ys = ys + [tl[1], bl[1], br[1], tr[1], tl[1], np.nan]
for x,y in self.leftClicks:
xs = xs + [x]
ys = ys + [y]
# if self.crosshair != None:
# xs = xs + [np.nan, 0, self.image.shape[1], np.nan, self.crosshair[0], self.crosshair[0], np.nan]
# ys = ys + [np.nan, self.crosshair[1], self.crosshair[1], np.nan, 0, self.image.shape[0], np.nan]
if len(xs) > 0 and len(ys) > 0:
if self.plotRect == None:
self.ax.hold(True)
self.plotRect, = self.ax.plot(xs, ys, 'b')
self.ax.hold(False)
self.ax.set_xlim([0,self.image.shape[1]])
self.ax.set_ylim([0,self.image.shape[0]])
self.ax.invert_yaxis()
else:
self.plotRect.set_data(xs, ys)
self.canvas.draw()
app.processEvents()
def loadCamCalib(self):
''' load camera calibration image and show an image'''
calibPath = os.path.join(self.scriptPath, './data')
CalibFile = QtGui.QFileDialog.getOpenFileName(self, 'Open image', calibPath)
self.ImageSize, SquareSize, self.CameraMatrix, self.DistCoefs, RVecs, TVecs = cd.readCalibration(CalibFile)
self.status.append('Loaded camera parameters from ' + CalibFile)
print('CameraMatrix =', self.CameraMatrix)
print('DistCoefs =', self.DistCoefs)
self.UndistMapX, self.UndistMapY = cv2.initUndistortRectifyMap(self.CameraMatrix, self.DistCoefs, \
None, self.CameraMatrix, self.ImageSize, cv2.CV_32FC1)
if self.image != None:
self.image = cv2.remap(self.image.astype(np.uint8), self.UndistMapX, self.UndistMapY, cv2.INTER_CUBIC)
self.isDistortionCorrected = True
self.status.append('Corrected image distortion.')
self.updateFigure()
# def loadPotTemplate(self):
# ''' load pot template image'''
# fname = QtGui.QFileDialog.getOpenFileName(self, 'Open image', '/home/chuong/Workspace/traitcapture-bin/unwarp_rectify/data')
# self.status.append('Loading image...')
# app.processEvents()
# self.potTemplate = cv2.imread(str(fname))[:,:,::-1]
# if len(self.potList) > 0:
def correctColor(self):
if self.colorcardParams == None:
if len(self.colorcardList) > 0:
medianSize = cd.getMedianRectSize(self.colorcardList)
capturedColorcards = cd.rectifyRectImages(self.image, self.colorcardList, medianSize)
self.colorcardColors, _ = cd.getColorcardColors(capturedColorcards[0], GridSize = [6, 4])
self.colorcardParams = cd.estimateColorParameters(cd.CameraTrax_24ColorCard, self.colorcardColors)
else:
self.status.append('Need to select a color card first.')
return
colorMatrix, colorConstant, colorGamma = self.colorcardParams
self.imageCorrected = cd.correctColorVectorised(self.image.astype(np.float), colorMatrix, colorConstant, colorGamma)
self.imageCorrected[np.where(self.imageCorrected < 0)] = 0
self.imageCorrected[np.where(self.imageCorrected > 255)] = 255
self.imageCorrected = self.imageCorrected.astype(np.uint8)
self.updateFigure(self.imageCorrected)
def savePipelineSettings(self):
''' save to pipeline setting file'''
self.settingFileName = str(QtGui.QFileDialog.getSaveFileName(self, \
'Save selection (default in ./_data)', self.timestreamRootPath))
if len(self.settingFileName) == 0:
return
self.settingPath = os.path.relpath(os.path.dirname(self.settingFileName), self.timestreamRootPath)
self.settings = {}
if self.ImageSize != None and self.CameraMatrix != None and self.DistCoefs != None:
undistortDic = {'cameraMatrix': self.CameraMatrix.tolist(), \
'distortCoefs': self.DistCoefs.tolist(), \
'imageSize': list(self.ImageSize),
'rotationAngle': self.rotationAngle + self.smaleRotationAngle
}
else:
undistortDic = {}
self.settings['undistort'] = undistortDic
if len(self.colorcardList) > 0:
medianSize = cd.getMedianRectSize(self.colorcardList)
capturedColorcards = cd.rectifyRectImages(self.image, self.colorcardList, medianSize)
colorCardFile = 'CapturedColorcard.png'
cv2.imwrite(os.path.join(self.timestreamRootPath, self.settingPath, colorCardFile), capturedColorcards[0][:,:,::-1].astype(np.uint8))
colorcardColors, colorStd = cd.getColorcardColors(capturedColorcards[0], GridSize = [6,4])
colorcardPosition, Width, Height, Angle = cd.getRectangleParamters(self.colorcardList[0])
colorcardDic = {'colorcardFile': colorCardFile,\
'colorcardPosition': colorcardPosition.tolist(),\
'colorcardTrueColors': cd.CameraTrax_24ColorCard,\
'settingPath': '_data'
}
else:
colorcardDic = {}
self.settings['colorcarddetect'] = colorcardDic
self.settings['colorcorrect'] = {'minIntensity': 15}
if len(self.trayList) > 0:
trayMedianSize = cd.getMedianRectSize(self.trayList)
trayImages = cd.rectifyRectImages(self.image, self.trayList, trayMedianSize)
trayDict = {}
trayDict['settingPath'] = '_data'
trayDict['trayNumber'] = len(self.trayList)
trayDict['trayFiles'] = 'Tray_%02d.png'
trayPositions = []
for i,tray in enumerate(trayImages):
cv2.imwrite(os.path.join(self.timestreamRootPath, self.settingPath, trayDict['trayFiles'] %i), tray[:,:,::-1].astype(np.uint8))
trayPosition, Width, Height, Angle = cd.getRectangleParamters(self.trayList[i])
trayPositions.append(trayPosition.tolist())
trayDict['trayPositions'] = trayPositions
else:
trayDict = {}
self.settings['traydetect'] = trayDict
if len(self.potList) > 0:
trayMedianSize = cd.getMedianRectSize(self.trayList)
potPosition, Width, Height, Angle = cd.getRectangleParamters(self.potList[0])
Width, Height = int(Width), int(Height)
topLeft = [int(self.potList[0][0][0]), int(self.potList[0][0][1])]
self.potImage = self.image[topLeft[1]:topLeft[1]+Height, topLeft[0]:topLeft[0]+Width, :]
potFile = 'Pot.png'
cv2.imwrite(os.path.join(self.timestreamRootPath, self.settingPath, potFile), self.potImage[:,:,::-1].astype(np.uint8))
potDict = {}
potDict['potPositions'] = potPosition.tolist()
potDict['potSize'] = [int(Width), int(Height)]
potDict['traySize'] = [int(trayMedianSize[0]), int(trayMedianSize[1])]
potDict['potFile'] = potFile
potDict['potTemplateFile'] = 'PotTemplate.png'
potDict['settingPath'] = '_data'
potTemplatePathIn = os.path.join(self.scriptPath, './data/PotTemplate.png')
potTemplatePathOut = os.path.join(self.timestreamRootPath, self.settingPath, potDict['potTemplateFile'])
shutil.copyfile(potTemplatePathIn, potTemplatePathOut)
if self.potTemplate != None:
potTemplateFile = 'potTemplate.png'
cv2.imwrite(os.path.join(self.timestreamRootPath, self.settingPath, potTemplateFile), self.potTemplate[:,:,::-1])
potDict['potTemplateFile'] = potTemplateFile
else:
potDict = {}
self.settings['potdetect'] = potDict
self.settings['plantextract'] = {'meth': 'method1',
'methargs': {'threshold' : 0.6,
'kSize' : 5, 'blobMinSize' : 50} }
with open(self.settingFileName, 'w') as outfile:
outfile.write( yaml.dump(self.settings, default_flow_style=None) )
self.status.append('Saved initial data to ' + self.settingFileName)
def testPipeline(self):
''' try running processing pipeline based on user inputs'''
if self.tsImages != None:
# load setting file if missing
if self.settingFileName == None:
settingFileName = str(QtGui.QFileDialog.getOpenFileName(self, 'Open pipeline setting file', self.ts.path))
if len(settingFileName) > 0:
self.settingFileName = settingFileName
else:
return
# initialise pipeline
if self.pl == None:
f = file(self.settingFileName)
self.settings = yaml.load(f)
self.ts.data["settings"] = self.settings
self.pl = pipeline.ImagePipeline(self.settings)
# process only from undistortion to pot detection
self.pl.pipeline = self.pl.pipeline[:5]
# read next image instant of pipeline
try:
tsImage = self.tsImages.next()
if tsImage == None:
self.status.append('Missing image.')
return
except:
tsImage = None
self.status.append('There is no more images.')
return
self.status.append('Processing ' + tsImage.path)
context = {"rts":self.ts, "wts":None, "img":tsImage}
result = self.pl.process(context, [tsImage])
self.image, potPosList2 = result
potSize = self.settings[4][1]["potSize"]
self.potList = []
for potPosList in potPosList2:
if potPosList == None:
continue
for potPos in potPosList:
tl = [potPos[0] - potSize[0]//2, potPos[1] - potSize[1]//2]
bl = [potPos[0] - potSize[0]//2, potPos[1] + potSize[1]//2]
br = [potPos[0] + potSize[0]//2, potPos[1] + potSize[1]//2]
tr = [potPos[0] + potSize[0]//2, potPos[1] - potSize[1]//2]
self.potList.append([tl, bl, br, tr])
self.updateFigure()
self.status.append('Done')
else:
self.status.append('Pipeline or setting file is missing.')
def rotateImage90Degrees(self):
if self.image == None:
self.status.append('No image to rotate.')
return
self.rotationAngle = self.rotationAngle + 90
if self.rotationAngle >= 360:
self.rotationAngle = self.rotationAngle - 360
self.image = np.rot90(self.image) #.astype(uint8)
self.status.append('Rot. angle = %d deg' %self.rotationAngle)
self.updateFigure(resetFigure = True)
def rotateSmallAngle(self, value):
self.smaleRotationAngle = float(value)/4.0
if self.image != None:
self.rotatedImage = cd.rotateImage(self.image, self.smaleRotationAngle)
self.updateFigure(self.rotatedImage)
self.status.append('Rot. angle = %f deg' %(self.rotationAngle + self.smaleRotationAngle))
def applySmallRotation(self):
if self.image != None:
self.image = cd.rotateImage(self.image, self.smaleRotationAngle)
self.updateFigure()
self.status.append('Apply small angle rotation')
def onMouseClicked(self, event):
if self.panMode or self.zoomMode:
return
print('click', event.button, event.xdata, event.ydata)
if event.button == 1 and event.xdata != None and event.ydata != None:
self.leftClicks.append([event.xdata, event.ydata])
print('self.leftClicks =', self.leftClicks)
Rect = []
AspectRatio = None
if self.trayRadioButton.isChecked():
AspectRatio = self.trayAspectRatio
elif self.colorcardRadioButton.isChecked():
AspectRatio = self.colorcardAspectRatio
elif self.potRadioButton.isChecked():
AspectRatio = self.potAspectRatio
if len(self.leftClicks) == 2 and AspectRatio != None:
if self.colorcardRadioButton.isChecked():
Rect = cd.getRectCornersFrom2Points(self.image, self.leftClicks, AspectRatio)
if self.trayRadioButton.isChecked():
Rect = cd.getRectCornersFrom2Points(self.image, self.leftClicks, AspectRatio, Rounded = self.trayRoundCheckBox.isChecked())
elif self.potRadioButton.isChecked():
Rect = cd.getRectCornersFrom2Points(self.image, self.leftClicks, AspectRatio, Rounded = True)
self.leftClicks = []
elif len(self.leftClicks) == 4:
Rect = [[x,y] for x,y in self.leftClicks]
Rect = cd.correctPointOrder(Rect)
self.leftClicks = []
if len(Rect) > 0:
if self.trayRadioButton.isChecked():
self.trayList.append(Rect)
self.status.append('Added tray selection.')
elif self.colorcardRadioButton.isChecked():
self.colorcardList.append(Rect)
self.status.append('Added color card selection.')
else:
self.potList.append(Rect)
self.status.append('Added pot selection.')
self.updateFigure()
elif event.button == 3:
# remove the last selection
if len(self.leftClicks) > 0:
self.leftClicks = self.leftClicks[:-1]
self.status.append('Removed a previous click')
else:
if self.trayRadioButton.isChecked() and len(self.trayList) > 0:
self.trayList = self.trayList[:-1]
self.status.append('Removed a previous tray selection')
elif self.colorcardRadioButton.isChecked() and len(self.colorcardList) > 0:
self.colorcardList = self.colorcardList[:-1]
self.status.append('Removed a previous color card selection.')
elif self.potRadioButton.isChecked() and len(self.potList) > 0:
self.potList = self.potList[:-1]
self.status.append('Removed a previous pot selection')
self.updateFigure()
else:
print('Ignored click')
def onMouseMoves(self, event):
if event.inaxes == self.ax:
self.mousePosition.setText('x=%d, y=%d' %(event.xdata, event.ydata))
# self.crosshair = [event.xdata, event.ydata]
else:
self.mousePosition.setText('')
# self.crosshair = None
# self.updateFigure()
def keyPressEvent(self, e):
if e.key() == QtCore.Qt.Key_Escape:
self.close()
def closeEvent(self, event):
quit_msg = "Are you sure you want to exit the program?"
reply = QtGui.QMessageBox.question(self, 'Message',
quit_msg, QtGui.QMessageBox.Yes, QtGui.QMessageBox.No)
if reply == QtGui.QMessageBox.Yes:
self.saveInputs()
event.accept()
else:
event.ignore()
def saveInputs(self):
with open('./.inputs.yml', 'w') as myfile:
dicInputs = {'rootPath': str(self.timestreamText.text()),
'startDate': str(self.timestreamDateText.text()),
'timeInterval': str(self.timestreamTimeText.text()),
}
myfile.write( yaml.dump(dicInputs, default_flow_style=None) )
def loadPreviousInputs(self):
try:
with open('./.inputs.yml', 'r') as myfile:
dicInputs = yaml.load(myfile)
self.timestreamText.setText(dicInputs['rootPath'])
self.timestreamDateText.setText(dicInputs['startDate'])
self.timestreamTimeText.setText(dicInputs['timeInterval'])
except:
pass
class PlotWidget(Canvas):
def __init__(self, parent, x_dimension, y_dimension):
super(PlotWidget, self).__init__(Figure())
self.setParent(parent)
self.figure = Figure((x_dimension, y_dimension))
self.canvas = Canvas(self.figure)
self.axes = self.figure.add_subplot(111)
# navigation toolbar
self.nav = NavigationToolbar(self.canvas, self)
self.nav.hide()
# background color = white
self.figure.set_facecolor('white')
# global variables
self.x_limit = None
self.plot_style()
def plot_properties(self, x_label, y_label, x_limit=None):
"""
Plot properties and variables
axis labels
x axis label (limit)
:param x_label: x axis labels
:param y_label: y axis labels
:param x_limit: number of x axis labels to display
"""
if x_label and y_label is not None:
self.axes.set_xlabel(x_label)
self.axes.set_ylabel(y_label)
self.x_limit = x_limit
def plot_style(self):
# change axes colors - grey
axes = ["bottom", "top", "left", "right"]
for ax in axes:
self.axes.spines[ax].set_color(chart_colors["grey"])
# change x-label and y-label color
self.axes.xaxis.label.set_color(chart_colors["dark_grey"])
self.axes.yaxis.label.set_color(chart_colors["dark_grey"])
# change tick color
self.axes.tick_params(axis='x', colors=chart_colors["grey"])
self.axes.tick_params(axis='y', colors=chart_colors["grey"])
# change font size - labels
rc('font', **chart_font)
# add grid - soft grey
self.axes.grid(True)
def plot_lines(self, x_values, y_values, *args):
# number of columns - range
columns = len(x_values)
ind = np.arange(columns)
# convert x_values to string and y_values to float - review!
x_labels = np.array(x_values, dtype=str)
y = np.array(y_values, dtype=float)
# tick labels with dates
if columns <= self.x_limit:
self.axes.set_xticks(np.arange(columns))
self.axes.xaxis.get_majorticklocs()
self.axes.set_xticklabels(x_labels)
# show y_values
if not args:
self.axes.plot(ind, y)
else:
# multiple series - to be implemented
for arg in args:
print arg
pass
self.figure.tight_layout()
def plot_bars(self):
pass
def plot_stats(self):
pass
def plot_pie(self):
pass
def plot_polar(self):
pass
class LMatplotlibWidget(LWidget):
def __init__(self, parent=None):
super(LMatplotlibWidget, self).__init__(parent)
self.setName(WIDGET_NAME)
self.buildUi()
self.dataContainer = LMyDataContainer(self)
self.actions = LMyActions(self.dataContainer,self)
self.setDebugLevel(5)
self.updateUi()
@LInAndOut(DEBUG & WIDGETS)
def buildUi(self):
self.verticalLayout = QVBoxLayout(self)
self.figure = Figure()
self.canvas = Canvas(self.figure) # <-- figure required
self.navigationToolbar = NavigationToolbar(self.canvas, self)
self.verticalLayout.addWidget(self.canvas)
self.verticalLayout.addWidget(self.navigationToolbar)
#Canvas.setSizePolicy(self.canvas, QSizePolicy.Expanding, QSizePolicy.Expanding)
#Canvas.updateGeometry(self.canvas)
@LInAndOut(DEBUG & WIDGETS)
def updateUi(self):
left = self.dataContainer.leftMargin
bottom = self.dataContainer.bottomMargin
right = self.dataContainer.rightMargin
top = self.dataContainer.topMargin
wspace = self.dataContainer.verticalSeparation
hspace = self.dataContainer.horizontalSeparation
self.figure.subplots_adjust(left, bottom, right, top, wspace, hspace)
if self.dataContainer.showNavigationToolbar:
self.navigationToolbar.show()
else:
self.navigationToolbar.hide()
#----------------------------------------------------------------------
# Interface (set)
@LInAndOut(DEBUG & WIDGETS)
def setOptions(self, options):
super(LMatplotlibWidget, self).setOptions(options)
if options.verboseLevel is not None:
self.setVerboseLevel(options.verboseLevel)
if options.navigationToolbar is not None:
self.showNavigationToolbar(options.navigationToolbar)
self.updateUi()
@LInAndOut(DEBUG & WIDGETS)
def setVerboseLevel(self, level):
self.dataContainer.verboseLevel = level
#----------------------------------------------------------------------
# Interface (get)
def getFigure(self):
return self.figure
#----------------------------------------------------------------------
# Interface (misc)
@LInAndOut(DEBUG & WIDGETS)
def showNavigationToolbar(self, flag=True):
self.dataContainer.showNavigationToolbar = flag
self.updateUi()
@LInAndOut(DEBUG & WIDGETS)
def snapshot(self, fileName = None):
if fileName is None:
caption = "%s - Save File" % self.name
filter = "PNG Image (*.png);;All files (*.*)"
fileName = QFileDialog.getSaveFileName(self.parent(), caption=caption,filter=filter )
fileName = "%s" % fileName
if len(fileName) > 0:
self.figure.savefig(fileName, facecolor='w', edgecolor='w', orientation='portrait', papertype=None, format=None, transparent=False, bbox_inches=None, pad_inches=0.1)
@LInAndOut(DEBUG & WIDGETS)
def draw(self):
self.canvas.draw()
class MplCanvas(FigureCanvas):
'''
描述：将matplotlib的figure嵌入到Qt中
成员：
figure:画图的窗口，是matplotlib中的figure对象
axes:画布，matplotlib.Axes对象
方法：这些方法可以重新实现
getSnn:返回画的曲线，是s11.s21,s12,或者s22
getDrawedLineType:S,群时延
getFigure: 返回figure对象
使用：
得到axes直接进行画图
'''
def __init__(self, parent=None, width=5, height=4, dpi=100):
self.figure = Figure(figsize=(width, height), dpi=dpi)
self.axes = self.figure.add_subplot(111)
self.axes.hold(False)
FigureCanvas.__init__(self, self.figure)
self.setParent(parent)
FigureCanvas.setSizePolicy(self, QtGui.QSizePolicy.Expanding,
QtGui.QSizePolicy.Expanding)
FigureCanvas.updateGeometry(self)
self.toolbar = NavigationToolbar(self, self)
self.toolbar.hide()
self.setContextMenuPolicy(QtCore.Qt.CustomContextMenu)
self.createPopMenu()
def createPopMenu(self):
#actions
self.popmenu = QtGui.QMenu(self)
self.snn_ac_group = QtGui.QActionGroup(self.popmenu)
self.snn_ac_group.setExclusive(True)
self.ac_s11 = QtGui.QAction('S11', self.popmenu)
self.ac_s21 = QtGui.QAction('S21', self.popmenu)
self.ac_s12 = QtGui.QAction('S12', self.popmenu)
self.ac_s22 = QtGui.QAction('S22', self.popmenu)
snn_actions = [self.ac_s11, self.ac_s21, self.ac_s12, self.ac_s22]
for ac in snn_actions:
ac.setCheckable(True)
self.snn_ac_group.addAction(ac)
self.ac_s11.setChecked(True)
self.popmenu.addActions(snn_actions)
self.ac_delay = QtGui.QAction('show delay', self.popmenu)
self.ac_phase = QtGui.QAction('show phase', self.popmenu)
self.ac_expanded = QtGui.QAction('show expanded', self.popmenu)
self.type_ac_group = QtGui.QActionGroup(self.popmenu)
types_actions = [self.ac_delay, self.ac_phase, self.ac_expanded]
for ac in types_actions:
ac.setCheckable(True)
self.type_ac_group.addAction(ac)
self.ac_phase.setChecked(True)
self.popmenu.addActions(types_actions)
self.setShowPopMenu(True)
def setShowPopMenu(self, isShow):
if isShow:
self.connect(self,
SIGNAL('customContextMenuRequested(const QPoint &)'),
self.show_popmenu)
else:
self.disconnect(
self, SIGNAL('customContextMenuRequested(const QPoint &)'),
self.show_popmenu)
def show_popmenu(self, pos):
#self.popmenu.popup(self.mapToGlobal(pos))
pass
def getSnn(self):
snn = self.snn_ac_group.checkedAction().text()
if snn == 'S11':
return 1
elif snn == 'S21':
return 2
elif snn == 'S12':
return 3
else:
return 4
def getDrawedLineType(self):
linetype = self.type_ac_group.checkedAction().text()
if linetype == 'show delay':
return 'delay'
elif linetype == 'show phase':
return 'phase'
elif linetype == 'show expanded':
return 'expanded'
def getFigure(self):
return self.figure
class MatplotlibWidget(QtGui.QWidget):
""" This subclass of QtWidget will manage the widget drawing; name matches the class in the *_ui.py file"""
# Global colors dictionary
colors_dict = {
"Discharge": "b",
"Subsurface Flow": "g",
"Impervious Flow": "SteelBlue",
"Infiltration Excess": "SeaGreen",
"Initial Abstracted Flow": "MediumBlue",
"Overland Flow": "RoyalBlue",
"PET": "orange",
"AET": "DarkOrange",
"Average Soil Root zone": "Gray",
"Average Soil Unsaturated Zone": "DarkGray",
"Snow Pack": "PowderBlue",
"Precipitation": "SkyBlue",
"Storage Deficit": "Brown",
"Return Flow": "Aqua",
"Water Use": "DarkCyan",
"Discharge + Water Use": "DarkBlue"
}
def __init__(self, parent=None):
super(MatplotlibWidget, self).__init__(parent)
# create object scope variables for watertxt data plot; used by radio buttons and span selector
self.watertxt_data = None
self.parameter = None
self.color_str = None
self.axes_text = None
self.axes_radio = None
self.parent = parent
# create figure
self.figure = Figure()
# create canvas and set some of its properties
self.canvas = FigureCanvas(self.figure)
self.canvas.setParent(parent)
self.canvas.setSizePolicy(QtGui.QSizePolicy.Expanding,
QtGui.QSizePolicy.Expanding)
self.canvas.updateGeometry()
self.canvas.setFocusPolicy(QtCore.Qt.StrongFocus)
self.canvas.setFocus()
# set up axes and its properties
self.ax = self.figure.add_subplot(111)
self.ax.grid(True)
# create toolbar
self.matplotlib_toolbar = NavigationToolbar(
self.canvas, parent) # the matplotlib toolbar object
# create the layout
self.layout = QtGui.QVBoxLayout()
# add the widgets to the layout
self.layout.addWidget(self.matplotlib_toolbar)
self.layout.addWidget(self.canvas)
# set the layout
self.setLayout(self.layout)
#-------------------------------- WATER.txt Parameter Plot ------------------------------------
def setup_watertxt_plot(self):
""" Setup the watertxt plot """
self.clear_watertxt_plot()
# set up axes and its properties
self.axes = self.figure.add_subplot(111)
self.axes.grid(True)
# create radio buttons
self.axes_radio = self.figure.add_axes(
[0.01, 0.02, 0.10, 0.15]
) # [left, bottom, width, height] = fractions of figure width and height
self.figure.subplots_adjust(bottom=0.2)
self.radio_buttons = RadioButtons(ax=self.axes_radio,
labels=("Span On", "Span Off"),
active=1,
activecolor="r")
self.radio_buttons.on_clicked(self.toggle_selector)
# create SpanSelector; invisble at first unless activated with toggle selector
self.span_selector = SpanSelector(self.axes,
self.on_select_axes,
'horizontal',
useblit=True,
rectprops=dict(alpha=0.5,
facecolor='red'))
self.span_selector.visible = False
def plot_watertxt_parameter(self, watertxt_data, name):
""" Plot a parameter from a WATER.txt file """
self.reset_watertxt_plot()
self.dates = watertxt_data["dates"]
self.watertxt_data = watertxt_data
self.parameter = watertxt.get_parameter(watertxt_data, name=name)
assert self.parameter is not None, "Parameter name {} is not in watertxt_data".format(
name)
self.axes.set_title("Parameter: {}".format(self.parameter["name"]))
self.axes.set_xlabel("Date")
ylabel = "\n".join(wrap(self.parameter["name"], 60))
self.axes.set_ylabel(ylabel)
# get proper color that corresponds to parameter name
self.color_str = self.colors_dict[name.split('(')[0].strip()]
# plot parameter
self.axes.plot(self.dates,
self.parameter["data"],
color=self.color_str,
label=self.parameter["name"],
linewidth=2)
# legend; make it transparent
handles, labels = self.axes.get_legend_handles_labels()
legend = self.axes.legend(handles, labels, fancybox=True)
legend.get_frame().set_alpha(0.5)
legend.draggable(state=True)
# show text of mean, max, min values on graph; use matplotlib.patch.Patch properies and bbox
text = "mean = {:.2f}\nmax = {:.2f}\nmin = {:.2f}".format(
self.parameter["mean"], self.parameter["max"],
self.parameter["min"])
patch_properties = {
"boxstyle": "round",
"facecolor": "wheat",
"alpha": 0.5
}
self.axes_text = self.axes.text(0.05,
0.95,
text,
transform=self.axes.transAxes,
fontsize=14,
verticalalignment="top",
horizontalalignment="left",
bbox=patch_properties)
# use a more precise date string for the x axis locations in the toolbar and rotate labels
self.axes.fmt_xdata = mdates.DateFormatter("%Y-%m-%d")
# rotate and align the tick labels so they look better; note that self.figure.autofmt_xdate() does not work because of the radio button axes
for label in self.axes.get_xticklabels():
label.set_ha("right")
label.set_rotation(30)
# draw the plot
self.canvas.draw()
def on_select_helper(self, xmin, xmax):
""" Helper for on_select methods """
# convert matplotlib float dates to a datetime format
date_min = mdates.num2date(xmin)
date_max = mdates.num2date(xmax)
# put the xmin and xmax in datetime format to compare
date_min = datetime.datetime(date_min.year, date_min.month,
date_min.day, date_min.hour,
date_min.minute)
date_max = datetime.datetime(date_max.year, date_max.month,
date_max.day, date_max.hour,
date_max.minute)
# find the indices that were selected
indices = np.where((self.dates >= date_min) & (self.dates <= date_max))
indices = indices[0]
# get the selected dates and values
selected_dates = self.dates[indices]
selected_values = self.parameter["data"][indices]
# compute simple stats on selected values
selected_values_mean = nanmean(selected_values)
selected_value_max = np.nanmax(selected_values)
selected_value_min = np.nanmin(selected_values)
return selected_dates, selected_values, selected_values_mean, selected_value_max, selected_value_min
def on_select_axes(self, xmin, xmax):
""" A select handler for SpanSelector that updates axes with the new x and y limits selected by user """
selected_dates, selected_values, selected_values_mean, selected_value_max, selected_value_min = self.on_select_helper(
xmin, xmax)
# plot the selected values and update plots limits and text
self.axes.plot(selected_dates, selected_values, self.color_str)
self.axes.set_xlim(selected_dates[0], selected_dates[-1])
self.axes.set_ylim(selected_values.min(), selected_values.max())
text = 'mean = %.2f\nmax = %.2f\nmin = %.2f' % (
selected_values_mean, selected_value_max, selected_value_min)
self.axes_text.set_text(text)
# draw the updated plot
self.canvas.draw()
def toggle_selector(self, radio_button_label):
"""
A toggle radio buttons for the matplotlib SpanSelector widget.
"""
if radio_button_label == "Span On":
self.span_selector.visible = True
self.matplotlib_toolbar.hide()
elif radio_button_label == "Span Off":
self.span_selector.visible = False
self.matplotlib_toolbar.show()
self.plot_watertxt_parameter(watertxt_data=self.watertxt_data,
name=self.parameter["name"])
def clear_watertxt_plot(self):
""" Clear the plot axes """
self.figure.clear()
self.canvas.draw()
def reset_watertxt_plot(self):
""" Clear the plot axes """
self.axes.clear()
self.canvas.draw()
self.axes.grid(True)
#-------------------------------- WATER.txt Parameter Comparison Plot ------------------------------------
def setup_watertxtcmp_plot(self):
""" Setup the watertxt plot """
self.clear_watertxtcmp_plot()
# set up axes and its properties
self.axes1 = self.figure.add_subplot(211)
self.axes2 = self.figure.add_subplot(212, sharex=self.axes1)
self.axes1.grid(True)
self.axes2.grid(True)
def plot_watertxtcmp_parameter(self, watertxt_data1, watertxt_data2,
filename1, filename2, name):
""" Plot a parameter from a WATER.txt file """
self.reset_watertxtcmp_plot()
dates = watertxt_data1["dates"]
parameter1 = watertxt.get_parameter(watertxt_data=watertxt_data1,
name=name)
parameter2 = watertxt.get_parameter(watertxt_data=watertxt_data2,
name=name)
assert parameter1 is not None, "Parameter name {} is not in watertxt_data".format(
name)
assert parameter2 is not None, "Parameter name {} is not in watertxt_data".format(
name)
# calculate the difference
diff = parameter2["data"] - parameter1["data"]
# plot parameters on axes1
self.axes1.plot(dates,
parameter1["data"],
color="b",
label=filename1 + ": " + parameter1["name"],
linewidth=2)
self.axes1.hold(True)
self.axes1.plot(dates,
parameter2["data"],
color="r",
label=filename2 + ": " + parameter2["name"],
linewidth=2)
# plot the difference on axes2
self.axes2.plot(dates, diff, color="k", linewidth=2)
# add title, labels, legend
self.axes1.set_title(parameter1["name"])
self.axes2.set_xlabel("Date")
self.axes2.set_ylabel("Difference")
handles1, labels1 = self.axes1.get_legend_handles_labels()
legend1 = self.axes1.legend(handles1, labels1, fancybox=True)
legend1.get_frame().set_alpha(0.5)
legend1.draggable(state=True)
# show text of mean, max, min values on graph; use matplotlib.patch.Patch properies and bbox
text1 = "mean = {:.2f}\nmax = {:.2f}\nmin = {:.2f}".format(
parameter1["mean"], parameter1["max"], parameter1["min"])
text2 = "mean = {:.2f}\nmax = {:.2f}\nmin = {:.2f}".format(
parameter2["mean"], parameter2["max"], parameter2["min"])
text_diff = "mean = {:.2f}\nmax = {:.2f}\nmin = {:.2f}".format(
nanmean(diff), np.max(diff), np.min(diff))
patch_properties1 = {
"boxstyle": "round",
"facecolor": "b",
"alpha": 0.5
}
patch_properties2 = {
"boxstyle": "round",
"facecolor": "r",
"alpha": 0.5
}
patch_properties_diff = {
"boxstyle": "round",
"facecolor": "wheat",
"alpha": 0.5
}
self.axes1.text(0.02,
0.95,
text1,
transform=self.axes1.transAxes,
fontsize=12,
verticalalignment="top",
horizontalalignment="left",
bbox=patch_properties1)
self.axes1.text(0.02,
0.45,
text2,
transform=self.axes1.transAxes,
fontsize=12,
verticalalignment="top",
horizontalalignment="left",
bbox=patch_properties2)
self.axes2.text(0.02,
0.95,
text_diff,
transform=self.axes2.transAxes,
fontsize=12,
verticalalignment="top",
horizontalalignment="left",
bbox=patch_properties_diff)
# use a more precise date string for the x axis locations in the toolbar and rotate labels
self.axes2.fmt_xdata = mdates.DateFormatter("%Y-%m-%d")
# rotate and align the tick labels so they look better
self.figure.autofmt_xdate()
# draw the plot
self.canvas.draw()
def clear_watertxtcmp_plot(self):
""" Clear the plot axes """
self.figure.clear()
self.canvas.draw()
def reset_watertxtcmp_plot(self):
""" Clear the plot axes """
self.axes1.clear()
self.axes2.clear()
self.canvas.draw()
self.axes1.grid(True)
self.axes2.grid(True)
#-------------------------------- Basemap Plot ------------------------------------
def setup_basemap_plot(self):
""" Setup the watertxt plot """
self.clear_basemap_plot()
# set up axes and its properties
self.basemap_axes = self.figure.add_subplot(111)
self.basemap_axes.grid(True)
def get_map_extents(self, shapefiles, shp_name=None):
"""
Get max and min extent coordinates from a list of shapefiles to use as the
extents on the map. Use the map extents to calculate the map center and the
standard parallels.
Parameters
----------
shapefiles : list
List of shapefile_data dictionaries
shp_name : string
String name of shapefile to use for getting map extents
Returns
-------
extent_coords : dictionary
Dictionary containing "lon_min", "lon_max", "lat_max", "lat_min" keys with respective calculated values
center_coords : dictionary
Dictionary containing "lon", "lat" keys with respective calculated values
standard_parallels : dictionary
Dictionary containing "first", "second" keys with respective calculated values (first = min(lat), second = max(lat))
"""
extent_coords = {}
center_coords = {}
standard_parallels = {}
lons = []
lats = []
if shp_name:
for shapefile_data in shapefiles:
if shp_name in shapefile_data["name"].split("_")[0]:
lons.append(shapefile_data["extents"][0:2])
lats.append(shapefile_data["extents"][2:])
else:
for shapefile_data in shapefiles:
lons.append(shapefile_data["extents"][0:2])
lats.append(shapefile_data["extents"][2:])
extent_coords["lon_min"] = np.min(lons)
extent_coords["lon_max"] = np.max(lons)
extent_coords["lat_min"] = np.min(lats)
extent_coords["lat_max"] = np.max(lats)
center_coords["lon"] = np.mean(
[extent_coords["lon_min"], extent_coords["lon_max"]])
center_coords["lat"] = np.mean(
[extent_coords["lat_min"], extent_coords["lat_max"]])
standard_parallels["first"] = extent_coords["lat_min"]
standard_parallels["second"] = extent_coords["lat_max"]
return extent_coords, center_coords, standard_parallels
def plot_shapefiles_map(self,
shapefiles,
display_fields=[],
colors=[],
title=None,
shp_name=None,
buff=1.0):
"""
Generate a map showing all the shapefiles in the shapefile_list.
Shapefiles should be in a Geographic Coordinate System (longitude and
latitude coordinates) such as World WGS84; Matplotlib"s basemap library
does the proper transformation to a projected coordinate system. The projected
coordinate system used is Albers Equal Area.
Parameters
----------
shapefiles : list
List of dictionaries containing shapefile information
title : string
String title for plot
display_fields : list
List of strings that correspond to a shapefile field where the corresponding value(s) will be displayed.
colors : list
List of strings that correspond to colors to be displayed
shp_name : string
String name of shapefile to use for getting map extents
buff : float
Float value in coordinate degrees to buffer the map with
"""
self.setup_basemap_plot()
extent_coords, center_coords, standard_parallels = self.get_map_extents(
shapefiles, shp_name=shp_name)
# create the basemap object with Albers Equal Area Conic Projection
bmap = Basemap(projection="aea",
llcrnrlon=extent_coords["lon_min"] - buff,
llcrnrlat=extent_coords["lat_min"] - buff,
urcrnrlon=extent_coords["lon_max"] + buff,
urcrnrlat=extent_coords["lat_max"] + buff,
lat_1=standard_parallels["first"],
lat_2=standard_parallels["second"],
lon_0=center_coords["lon"],
lat_0=center_coords["lat"],
resolution="h",
area_thresh=10000,
ax=self.basemap_axes)
# have basemap object plot background stuff
bmap.drawcoastlines()
bmap.drawcountries()
bmap.drawrivers(linewidth=1, color="blue")
bmap.drawstates()
bmap.drawmapboundary(fill_color="aqua")
bmap.fillcontinents(color="coral", lake_color="aqua")
bmap.drawparallels(np.arange(-80., 81., 1.),
labels=[1, 0, 0, 0],
linewidth=0.5)
bmap.drawmeridians(np.arange(-180., 181., 1.),
labels=[0, 0, 0, 1],
linewidth=0.5)
# plot each shapefile on the basemap
legend_handles = []
legend_labels = []
colors_index = 0
colors_list = [
"b", "g", "y", "r", "c", "y", "m", "orange", "aqua", "darksalmon",
"gold", "k"
]
for shapefile_data in shapefiles:
# set up colors to use
if colors:
color = colors[colors_index]
elif colors_index > len(colors_list) - 1:
color = np.random.rand(3, )
else:
color = colors_list[colors_index]
full_path = os.path.join(shapefile_data["path"],
shapefile_data["name"].split(".")[0])
shp_tuple = bmap.readshapefile(
full_path, "shp", drawbounds=False
) # use basemap shapefile reader for ease of plotting
for shape_dict, shape in zip(
bmap.shp_info, bmap.shp
): # zip the shapefile information and its shape as defined by basemap
if shapefile_data["type"] == "POLYGON":
p1 = Polygon(shape,
facecolor=color,
edgecolor="k",
linewidth=1,
alpha=0.7,
label=shapefile_data["name"])
self.basemap_axes.add_patch(p1)
xx, yy = zip(*shape)
txt_x = str(np.mean(xx))
txt_y = str(np.mean(yy))
elif shapefile_data["type"] == "POINT":
x, y = shape
if "usgsgages" in shapefile_data["name"].split("_")[0]:
p1 = bmap.plot(x,
y,
color=color,
marker="^",
markersize=10,
label=shapefile_data["name"])
elif "wateruse" in shapefile_data["name"].split("_")[0]:
p1 = bmap.plot(x,
y,
color=color,
marker="o",
markersize=5,
label=shapefile_data["name"])
else:
print("what!!")
p1 = bmap.plot(x,
y,
color=color,
marker="o",
markersize=10,
label=shapefile_data["name"])
txt_x = str(x)
txt_y = str(y)
else:
xx, yy = zip(*shape)
p1 = bmap.plot(xx,
yy,
linewidth=1,
color=color,
label=shapefile_data["name"])
txt_x = str(np.mean(xx))
txt_y = str(np.mean(yy))
if isinstance(p1, list):
p1 = p1[0]
# control text display of shapefile fields
for display_field in display_fields:
if display_field in shape_dict.keys():
self.basemap_axes.text(txt_x,
txt_y,
shape_dict[display_field],
color="k",
fontsize=12,
fontweight="bold")
colors_index += 1
legend_handles.append(p1)
legend_labels.append(shapefile_data["name"].split("_")[0])
handles, labels = self.basemap_axes.get_legend_handles_labels()
# edit the contents of handles and labels to only show 1 legend per shape
handles = legend_handles
labels = legend_labels
legend = self.basemap_axes.legend(handles,
labels,
fancybox=True,
numpoints=1)
legend.get_frame().set_alpha(0.5)
legend.draggable(state=True)
# draw the plot
self.canvas.draw()
def clear_basemap_plot(self):
""" Clear the plot axes """
self.figure.clear()
self.canvas.draw()
def reset_basemap_plot(self):
""" Clear the plot axes """
self.basemap_axes.clear()
self.canvas.draw()
class Window(QtGui.QWidget):
def __init__(self, parent=None):
super(Window, self).__init__(parent)
self.setWindowTitle('OpenWave-2KE')
icon = QtGui.QIcon()
icon.addPixmap(QtGui.QPixmap("openwave.ico"), QtGui.QIcon.Normal, QtGui.QIcon.Off)
self.setWindowIcon(icon)
#Waveform area.
self.figure = plt.figure()
self.figure.set_facecolor('white')
self.canvas = FigureCanvas(self.figure)
self.canvas.setMinimumSize(800, 400)
self.toolbar = NavigationToolbar(self.canvas, self)
self.toolbar.hide()
#Zoom In/out and Capture Buttons
self.zoomBtn = QtGui.QPushButton('Zoom')
self.zoomBtn.setFixedSize(100, 30)
self.zoomBtn.clicked.connect(self.toolbar.zoom)
self.panBtn = QtGui.QPushButton('Pan')
self.panBtn.setFixedSize(100, 30)
self.panBtn.clicked.connect(self.toolbar.pan)
self.homeBtn = QtGui.QPushButton('Home')
self.homeBtn.setFixedSize(100, 30)
self.homeBtn.clicked.connect(self.toolbar.home)
self.captureBtn = QtGui.QPushButton('Capture')
self.captureBtn.setFixedSize(100, 50)
self.captureBtn.clicked.connect(self.captureAction)
if(portNum==-1):
self.captureBtn.setEnabled(False)
#Type: Raw Data/Image
self.typeBtn = QtGui.QPushButton('Raw Data')
self.typeBtn.setToolTip("Switch to get raw data or image from DSO.")
self.typeBtn.setFixedSize(120, 50)
self.typeFlag=True #Initial state -> Get raw data
self.typeBtn.setCheckable(True)
self.typeBtn.setChecked(True)
self.typeBtn.clicked.connect(self.typeAction)
#Channel Selection.
self.ch1checkBox = QtGui.QCheckBox('CH1')
self.ch1checkBox.setFixedSize(60, 30)
self.ch2checkBox = QtGui.QCheckBox('CH2')
self.ch2checkBox.setFixedSize(60, 30)
if(dso.chnum==4):
self.ch3checkBox = QtGui.QCheckBox('CH3')
self.ch3checkBox.setFixedSize(60, 30)
self.ch4checkBox = QtGui.QCheckBox('CH4')
self.ch4checkBox.setFixedSize(60, 30)
#Set channel selection layout.
self.selectLayout = QtGui.QHBoxLayout()
self.selectLayout.addWidget(self.ch1checkBox)
self.selectLayout.addWidget(self.ch2checkBox)
if(dso.chnum==4):
self.selectLayout2 = QtGui.QHBoxLayout()
self.selectLayout2.addWidget(self.ch3checkBox)
self.selectLayout2.addWidget(self.ch4checkBox)
self.typeLayout = QtGui.QHBoxLayout()
self.typeLayout.addWidget(self.typeBtn)
self.typeLayout.addLayout(self.selectLayout)
if(dso.chnum==4):
self.typeLayout.addLayout(self.selectLayout2)
#Save/Load/Quit button
self.saveBtn = QtGui.QPushButton('Save')
self.saveBtn.setFixedSize(100, 50)
self.saveMenu = QtGui.QMenu(self)
self.csvAction = self.saveMenu.addAction("&As CSV File")
self.pictAction = self.saveMenu.addAction("&As PNG File")
self.saveBtn.setMenu(self.saveMenu)
self.saveBtn.setToolTip("Save waveform to CSV file or PNG file.")
self.connect(self.csvAction, QtCore.SIGNAL("triggered()"), self.saveCsvAction)
self.connect(self.pictAction, QtCore.SIGNAL("triggered()"), self.savePngAction)
self.loadBtn = QtGui.QPushButton('Load')
self.loadBtn.setToolTip("Load CHx's raw data from file(*.csv, *.lsf).")
self.loadBtn.setFixedSize(100, 50)
self.loadBtn.clicked.connect(self.loadAction)
self.quitBtn = QtGui.QPushButton('Quit')
self.quitBtn.setFixedSize(100, 50)
self.quitBtn.clicked.connect(self.quitAction)
# set the layout
self.waveLayout = QtGui.QHBoxLayout()
self.waveLayout.addWidget(self.canvas)
self.wave_box=QtGui.QVBoxLayout()
self.wave_box.addLayout(self.waveLayout)
self.wavectrlLayout = QtGui.QHBoxLayout()
self.wavectrlLayout.addWidget(self.zoomBtn)
self.wavectrlLayout.addWidget(self.panBtn)
self.wavectrlLayout.addWidget(self.homeBtn)
self.wavectrlLayout.addWidget(self.captureBtn)
self.saveloadLayout = QtGui.QHBoxLayout()
self.saveloadLayout.addWidget(self.saveBtn)
self.saveloadLayout.addWidget(self.loadBtn)
self.saveloadLayout.addWidget(self.quitBtn)
self.ctrl_box=QtGui.QHBoxLayout()
self.ctrl_box.addLayout(self.typeLayout)
self.ctrl_box.addLayout(self.saveloadLayout)
main_box=QtGui.QVBoxLayout()
main_box.addLayout(self.wave_box) #Waveform area.
main_box.addLayout(self.wavectrlLayout) #Zoom In/Out...
main_box.addLayout(self.ctrl_box) #Save/Load/Quit
self.setLayout(main_box)
def typeAction(self):
if(self.typeFlag==True):
self.typeFlag=False
self.typeBtn.setText("Image")
self.csvAction.setEnabled(False)
else:
self.typeFlag=True
self.typeBtn.setText("Raw Data")
self.csvAction.setEnabled(True)
self.typeBtn.setChecked(self.typeFlag)
self.ch1checkBox.setEnabled(self.typeFlag)
self.ch2checkBox.setEnabled(self.typeFlag)
if(dso.chnum==4):
self.ch3checkBox.setEnabled(self.typeFlag)
self.ch4checkBox.setEnabled(self.typeFlag)
def saveCsvAction(self):
if(self.typeFlag==True): #Save raw data to csv file.
file_name=QtGui.QFileDialog.getSaveFileName(self, "Save as", '', "Fast CSV File(*.csv)")[0]
num=len(dso.ch_list)
#print num
for ch in xrange(num):
if(dso.info[ch]==[]):
print('Failed to save data, raw data information is required!')
return
f = open(file_name, 'w')
item=len(dso.info[0])
#Write file header.
f.write('%s, \n' % dso.info[0][0])
for x in xrange(1, 25):
str=''
for ch in xrange(num):
str+=('%s,' % dso.info[ch][x])
str+='\n'
f.write(str)
str=''
if(num==1):
str+=('%s,' % dso.info[0][25])
else:
for ch in xrange(num):
str+=('%s,,' % dso.info[ch][25])
str+='\n'
f.write(str)
#Write raw data.
item=len(dso.iWave[0])
#print item
tenth=int(item/10)
n_tenth=tenth-1
percent=10
for x in xrange(item):
str=''
if(num==1):
str+=('%s,' % dso.iWave[0][x])
else:
for ch in xrange(num):
str+=('%s,,' % dso.iWave[ch][x])
str+='\n'
f.write(str)
if(x==n_tenth):
n_tenth+=tenth
print('%3d %% Saved\r'%percent),
percent+=10
f.close()
def savePngAction(self):
#Save figure to png file.
file_name=QtGui.QFileDialog.getSaveFileName(self, "Save as", '', "PNG File(*.png)")[0]
if(file_name==''):
return
if(self.typeFlag==True): #Save raw data waveform as png file.
main.figure.savefig(file_name)
print('Saved image to %s.'%file_name)
else: #Save figure to png file.
dso.im.save(file_name)
print('Saved image to %s.'%file_name)
def loadAction(self):
dso.ch_list=[]
full_path_name=QtGui.QFileDialog.getOpenFileName(self,self.tr("Open File"),".","CSV/LSF files (*.csv *.lsf);;All files (*.*)")
sFileName=unicode(full_path_name).split(',')[0][3:-1] #For PySide
print sFileName
if(len(sFileName)<=0):
return
if os.path.exists(sFileName):
print 'Reading file...'
count=dso.readRawDataFile(sFileName)
#Draw waveform.
if(count>0):
total_chnum=len(dso.ch_list)
if(total_chnum==0):
return
if(dso.dataMode=='Fast'):
self.drawWaveform(0)
else:
self.drawWaveform(0)
else:
print('File not found!')
def quitAction(self):
if(portNum!=-1):
dso.IO.close()
self.close()
def captureAction(self):
dso.iWave=[[], [], [], []]
dso.ch_list=[]
if(self.typeFlag==True): #Get raw data.
draw_flag=False
#Turn on the selected channels.
if((self.ch1checkBox.isChecked()==True) and (dso.isChannelOn(1)==False)):
dso.write(":CHAN1:DISP ON\n") #Set CH1 on.
if((self.ch2checkBox.isChecked()==True) and (dso.isChannelOn(2)==False)):
dso.write(":CHAN2:DISP ON\n") #Set CH2 on.
if(dso.chnum==4):
if((self.ch3checkBox.isChecked()==True) and (dso.isChannelOn(3)==False)):
dso.write(":CHAN3:DISP ON\n") #Set CH3 on.
if((self.ch4checkBox.isChecked()==True) and (dso.isChannelOn(4)==False)):
dso.write(":CHAN4:DISP ON\n") #Set CH4 on.
#Get all the selected channel's raw datas.
if(self.ch1checkBox.isChecked()==True):
dso.getRawData(True, 1) #Read CH1's raw data from DSO (including header).
if(self.ch2checkBox.isChecked()==True):
dso.getRawData(True, 2) #Read CH2's raw data from DSO (including header).
if(dso.chnum==4):
if(self.ch3checkBox.isChecked()==True):
dso.getRawData(True, 3) #Read CH3's raw data from DSO (including header).
if(self.ch4checkBox.isChecked()==True):
dso.getRawData(True, 4) #Read CH4's raw data from DSO (including header).
#Draw waveform.
total_chnum=len(dso.ch_list)
if(total_chnum==0):
return
if(self.drawWaveform(1)==-1):
time.sleep(5)
self.drawWaveform(0)
else: #Get image.
dso.write(':DISP:OUTP?\n') #Send command to get image from DSO.
dso.getBlockData()
dso.RleDecode()
self.showImage()
plt.tight_layout(True)
self.canvas.draw()
print('Image is ready!')
def showImage(self):
#Turn the ticks off and show image.
plt.clf()
ax = plt.gca()
ax.xaxis.set_visible(False)
ax.yaxis.set_visible(False)
plt.imshow(dso.im)
def drawWaveform(self, mode):
total_chnum=len(dso.ch_list)
num=dso.points_num
ch_colortable=['#C0B020', '#0060FF', '#FF0080', '#00FF60']
ch=int(dso.ch_list[0][2])-1 #Get the channel of first waveform.
plt.cla()
plt.clf()
#Due to the memory limitation of matplotlib, we must reduce the sample points.
if(num==10000000):
if(total_chnum>2):
down_sample_factor=4
elif(total_chnum==2):
down_sample_factor=4
else:
down_sample_factor=1
num=num/down_sample_factor
else:
down_sample_factor=1
dt=dso.dt[0] #Get dt from the first opened channel.
t_start=dso.hpos[0]-num*dt/2
t_end =dso.hpos[0]+num*dt/2
t = np.arange(t_start, t_end, dt)
#print t_start, t_end, dt, len(t)
if((len(t)-num)==1): #Avoid floating point rounding error.
t=t[:-1]
wave_type='-' #Set waveform type to vector.
#Draw waveforms.
ax=[[], [], [], []]
p=[]
for ch in xrange(total_chnum):
if(ch==0):
ax[ch]=host_subplot(111, axes_class=AA.Axes)
ax[ch].set_xlabel("Time (sec)")
else:
ax[ch]=ax[0].twinx()
ax[ch].set_ylabel("%s Units: %s" %(dso.ch_list[ch], dso.vunit[ch]))
ch_color=ch_colortable[int(dso.ch_list[ch][2])-1]
if(ch>1):
new_fixed_axis = ax[ch].get_grid_helper().new_fixed_axis
ax[ch].axis["right"] = new_fixed_axis(loc="right", axes=ax[ch], offset=(60*(ch-1), 0))
ax[ch].set_xlim(t_start, t_end)
ax[ch].set_ylim(-4*dso.vdiv[ch]-dso.vpos[ch], 4*dso.vdiv[ch]-dso.vpos[ch]) #Setup vertical display range.
fwave=dso.convertWaveform(ch, down_sample_factor)
#print('Length=%d'%(len(fwave)))
if(ch==0):
try:
p=ax[ch].plot(t, fwave, color=ch_color, ls=wave_type, label = dso.ch_list[ch])
except:
if(mode==1):
#print sys.exc_info()[0]
time.sleep(5)
print 'Trying to plot again!',
return -1
else:
try:
p+=ax[ch].plot(t, fwave, color=ch_color, ls=wave_type, label = dso.ch_list[ch])
except:
if(mode==1):
#print sys.exc_info()[0]
time.sleep(5)
print 'Trying to plot again!',
return -1
if(total_chnum>1):
labs = [l.get_label() for l in p]
plt.legend(p, labs, loc='upper right')
plt.tight_layout()
self.canvas.draw()
del ax, t, p
return 0
class MatplotlibWidget(QtGui.QWidget):
""" This subclass of QtWidget will manage the widget drawing; name matches the class in the *_ui.py file"""
# Global colors dictionary
colors_dict = {
"Discharge": "b",
"Subsurface Flow": "g",
"Impervious Flow": "SteelBlue",
"Infiltration Excess": "SeaGreen",
"Initial Abstracted Flow": "MediumBlue",
"Overland Flow": "RoyalBlue",
"PET": "orange",
"AET": "DarkOrange",
"Average Soil Root zone": "Gray",
"Average Soil Unsaturated Zone": "DarkGray",
"Snow Pack": "PowderBlue",
"Precipitation": "SkyBlue",
"Storage Deficit": "Brown",
"Return Flow": "Aqua",
"Water Use": "DarkCyan",
"Discharge + Water Use": "DarkBlue"
}
def __init__(self, parent = None):
super(MatplotlibWidget, self).__init__(parent)
# create object scope variables for watertxt data plot; used by radio buttons and span selector
self.watertxt_data = None
self.parameter = None
self.color_str = None
self.axes_text = None
self.axes_radio = None
self.parent = parent
# create figure
self.figure = Figure()
# create canvas and set some of its properties
self.canvas = FigureCanvas(self.figure)
self.canvas.setParent(parent)
self.canvas.setSizePolicy(QtGui.QSizePolicy.Expanding, QtGui.QSizePolicy.Expanding)
self.canvas.updateGeometry()
self.canvas.setFocusPolicy(QtCore.Qt.StrongFocus)
self.canvas.setFocus()
# set up axes and its properties
self.ax = self.figure.add_subplot(111)
self.ax.grid(True)
# create toolbar
self.matplotlib_toolbar = NavigationToolbar(self.canvas, parent) # the matplotlib toolbar object
# create the layout
self.layout = QtGui.QVBoxLayout()
# add the widgets to the layout
self.layout.addWidget(self.matplotlib_toolbar)
self.layout.addWidget(self.canvas)
# set the layout
self.setLayout(self.layout)
#-------------------------------- WATER.txt Parameter Plot ------------------------------------
def setup_watertxt_plot(self):
""" Setup the watertxt plot """
self.clear_watertxt_plot()
# set up axes and its properties
self.axes = self.figure.add_subplot(111)
self.axes.grid(True)
# create radio buttons
self.axes_radio = self.figure.add_axes([0.01, 0.02, 0.10, 0.15]) # [left, bottom, width, height] = fractions of figure width and height
self.figure.subplots_adjust(bottom=0.2)
self.radio_buttons = RadioButtons(ax = self.axes_radio, labels = ("Span On", "Span Off"), active = 1, activecolor= "r")
self.radio_buttons.on_clicked(self.toggle_selector)
# create SpanSelector; invisble at first unless activated with toggle selector
self.span_selector = SpanSelector(self.axes, self.on_select_axes, 'horizontal', useblit = True, rectprops = dict(alpha=0.5, facecolor='red'))
self.span_selector.visible = False
def plot_watertxt_parameter(self, watertxt_data, name):
""" Plot a parameter from a WATER.txt file """
self.reset_watertxt_plot()
self.dates = watertxt_data["dates"]
self.watertxt_data = watertxt_data
self.parameter = watertxt.get_parameter(watertxt_data, name = name)
assert self.parameter is not None, "Parameter name {} is not in watertxt_data".format(name)
self.axes.set_title("Parameter: {}".format(self.parameter["name"]))
self.axes.set_xlabel("Date")
ylabel = "\n".join(wrap(self.parameter["name"], 60))
self.axes.set_ylabel(ylabel)
# get proper color that corresponds to parameter name
self.color_str = self.colors_dict[name.split('(')[0].strip()]
# plot parameter
self.axes.plot(self.dates, self.parameter["data"], color = self.color_str, label = self.parameter["name"], linewidth = 2)
# legend; make it transparent
handles, labels = self.axes.get_legend_handles_labels()
legend = self.axes.legend(handles, labels, fancybox = True)
legend.get_frame().set_alpha(0.5)
legend.draggable(state=True)
# show text of mean, max, min values on graph; use matplotlib.patch.Patch properies and bbox
text = "mean = {:.2f}\nmax = {:.2f}\nmin = {:.2f}".format(self.parameter["mean"], self.parameter["max"], self.parameter["min"])
patch_properties = {"boxstyle": "round", "facecolor": "wheat", "alpha": 0.5}
self.axes_text = self.axes.text(0.05, 0.95, text, transform = self.axes.transAxes, fontsize = 14,
verticalalignment = "top", horizontalalignment = "left", bbox = patch_properties)
# use a more precise date string for the x axis locations in the toolbar and rotate labels
self.axes.fmt_xdata = mdates.DateFormatter("%Y-%m-%d")
# rotate and align the tick labels so they look better; note that self.figure.autofmt_xdate() does not work because of the radio button axes
for label in self.axes.get_xticklabels():
label.set_ha("right")
label.set_rotation(30)
# draw the plot
self.canvas.draw()
def on_select_helper(self, xmin, xmax):
""" Helper for on_select methods """
# convert matplotlib float dates to a datetime format
date_min = mdates.num2date(xmin)
date_max = mdates.num2date(xmax)
# put the xmin and xmax in datetime format to compare
date_min = datetime.datetime(date_min.year, date_min.month, date_min.day, date_min.hour, date_min.minute)
date_max = datetime.datetime(date_max.year, date_max.month, date_max.day, date_max.hour, date_max.minute)
# find the indices that were selected
indices = np.where((self.dates >= date_min) & (self.dates <= date_max))
indices = indices[0]
# get the selected dates and values
selected_dates = self.dates[indices]
selected_values = self.parameter["data"][indices]
# compute simple stats on selected values
selected_values_mean = nanmean(selected_values)
selected_value_max = np.nanmax(selected_values)
selected_value_min = np.nanmin(selected_values)
return selected_dates, selected_values, selected_values_mean, selected_value_max, selected_value_min
def on_select_axes(self, xmin, xmax):
""" A select handler for SpanSelector that updates axes with the new x and y limits selected by user """
selected_dates, selected_values, selected_values_mean, selected_value_max, selected_value_min = self.on_select_helper(xmin, xmax)
# plot the selected values and update plots limits and text
self.axes.plot(selected_dates, selected_values, self.color_str)
self.axes.set_xlim(selected_dates[0], selected_dates[-1])
self.axes.set_ylim(selected_values.min(), selected_values.max())
text = 'mean = %.2f\nmax = %.2f\nmin = %.2f' % (selected_values_mean, selected_value_max, selected_value_min)
self.axes_text.set_text(text)
# draw the updated plot
self.canvas.draw()
def toggle_selector(self, radio_button_label):
"""
A toggle radio buttons for the matplotlib SpanSelector widget.
"""
if radio_button_label == "Span On":
self.span_selector.visible = True
self.matplotlib_toolbar.hide()
elif radio_button_label == "Span Off":
self.span_selector.visible = False
self.matplotlib_toolbar.show()
self.plot_watertxt_parameter(watertxt_data = self.watertxt_data, name = self.parameter["name"])
def clear_watertxt_plot(self):
""" Clear the plot axes """
self.figure.clear()
self.canvas.draw()
def reset_watertxt_plot(self):
""" Clear the plot axes """
self.axes.clear()
self.canvas.draw()
self.axes.grid(True)
#-------------------------------- WATER.txt Parameter Comparison Plot ------------------------------------
def setup_watertxtcmp_plot(self):
""" Setup the watertxt plot """
self.clear_watertxtcmp_plot()
# set up axes and its properties
self.axes1 = self.figure.add_subplot(211)
self.axes2 = self.figure.add_subplot(212, sharex = self.axes1)
self.axes1.grid(True)
self.axes2.grid(True)
def plot_watertxtcmp_parameter(self, watertxt_data1, watertxt_data2, filename1, filename2, name):
""" Plot a parameter from a WATER.txt file """
self.reset_watertxtcmp_plot()
dates = watertxt_data1["dates"]
parameter1 = watertxt.get_parameter(watertxt_data = watertxt_data1, name = name)
parameter2 = watertxt.get_parameter(watertxt_data = watertxt_data2, name = name)
assert parameter1 is not None, "Parameter name {} is not in watertxt_data".format(name)
assert parameter2 is not None, "Parameter name {} is not in watertxt_data".format(name)
# calculate the difference
diff = parameter2["data"] - parameter1["data"]
# plot parameters on axes1
self.axes1.plot(dates, parameter1["data"], color = "b", label = filename1 + ": " + parameter1["name"], linewidth = 2)
self.axes1.hold(True)
self.axes1.plot(dates, parameter2["data"], color = "r", label = filename2 + ": " + parameter2["name"], linewidth = 2)
# plot the difference on axes2
self.axes2.plot(dates, diff, color = "k", linewidth = 2)
# add title, labels, legend
self.axes1.set_title(parameter1["name"])
self.axes2.set_xlabel("Date")
self.axes2.set_ylabel("Difference")
handles1, labels1 = self.axes1.get_legend_handles_labels()
legend1 = self.axes1.legend(handles1, labels1, fancybox = True)
legend1.get_frame().set_alpha(0.5)
legend1.draggable(state=True)
# show text of mean, max, min values on graph; use matplotlib.patch.Patch properies and bbox
text1 = "mean = {:.2f}\nmax = {:.2f}\nmin = {:.2f}".format(parameter1["mean"], parameter1["max"], parameter1["min"])
text2 = "mean = {:.2f}\nmax = {:.2f}\nmin = {:.2f}".format(parameter2["mean"], parameter2["max"], parameter2["min"])
text_diff = "mean = {:.2f}\nmax = {:.2f}\nmin = {:.2f}".format(nanmean(diff), np.max(diff), np.min(diff))
patch_properties1 = {"boxstyle": "round", "facecolor": "b", "alpha": 0.5}
patch_properties2 = {"boxstyle": "round", "facecolor": "r", "alpha": 0.5}
patch_properties_diff = {"boxstyle": "round", "facecolor": "wheat", "alpha": 0.5}
self.axes1.text(0.02, 0.95, text1, transform = self.axes1.transAxes, fontsize = 12, verticalalignment = "top", horizontalalignment = "left", bbox = patch_properties1)
self.axes1.text(0.02, 0.45, text2, transform = self.axes1.transAxes, fontsize = 12, verticalalignment = "top", horizontalalignment = "left", bbox = patch_properties2)
self.axes2.text(0.02, 0.95, text_diff, transform = self.axes2.transAxes, fontsize = 12, verticalalignment = "top", horizontalalignment = "left", bbox = patch_properties_diff)
# use a more precise date string for the x axis locations in the toolbar and rotate labels
self.axes2.fmt_xdata = mdates.DateFormatter("%Y-%m-%d")
# rotate and align the tick labels so they look better
self.figure.autofmt_xdate()
# draw the plot
self.canvas.draw()
def clear_watertxtcmp_plot(self):
""" Clear the plot axes """
self.figure.clear()
self.canvas.draw()
def reset_watertxtcmp_plot(self):
""" Clear the plot axes """
self.axes1.clear()
self.axes2.clear()
self.canvas.draw()
self.axes1.grid(True)
self.axes2.grid(True)
#-------------------------------- Basemap Plot ------------------------------------
def setup_basemap_plot(self):
""" Setup the watertxt plot """
self.clear_basemap_plot()
# set up axes and its properties
self.basemap_axes = self.figure.add_subplot(111)
self.basemap_axes.grid(True)
def get_map_extents(self, shapefiles, shp_name = None):
"""
Get max and min extent coordinates from a list of shapefiles to use as the
extents on the map. Use the map extents to calculate the map center and the
standard parallels.
Parameters
----------
shapefiles : list
List of shapefile_data dictionaries
shp_name : string
String name of shapefile to use for getting map extents
Returns
-------
extent_coords : dictionary
Dictionary containing "lon_min", "lon_max", "lat_max", "lat_min" keys with respective calculated values
center_coords : dictionary
Dictionary containing "lon", "lat" keys with respective calculated values
standard_parallels : dictionary
Dictionary containing "first", "second" keys with respective calculated values (first = min(lat), second = max(lat))
"""
extent_coords = {}
center_coords = {}
standard_parallels = {}
lons = []
lats = []
if shp_name:
for shapefile_data in shapefiles:
if shp_name in shapefile_data["name"].split("_")[0]:
lons.append(shapefile_data["extents"][0:2])
lats.append(shapefile_data["extents"][2:])
else:
for shapefile_data in shapefiles:
lons.append(shapefile_data["extents"][0:2])
lats.append(shapefile_data["extents"][2:])
extent_coords["lon_min"] = np.min(lons)
extent_coords["lon_max"] = np.max(lons)
extent_coords["lat_min"] = np.min(lats)
extent_coords["lat_max"] = np.max(lats)
center_coords["lon"] = np.mean([extent_coords["lon_min"], extent_coords["lon_max"]])
center_coords["lat"] = np.mean([extent_coords["lat_min"], extent_coords["lat_max"]])
standard_parallels["first"] = extent_coords["lat_min"]
standard_parallels["second"] = extent_coords["lat_max"]
return extent_coords, center_coords, standard_parallels
def plot_shapefiles_map(self, shapefiles, display_fields = [], colors = [], title = None, shp_name = None, buff = 1.0):
"""
Generate a map showing all the shapefiles in the shapefile_list.
Shapefiles should be in a Geographic Coordinate System (longitude and
latitude coordinates) such as World WGS84; Matplotlib"s basemap library
does the proper transformation to a projected coordinate system. The projected
coordinate system used is Albers Equal Area.
Parameters
----------
shapefiles : list
List of dictionaries containing shapefile information
title : string
String title for plot
display_fields : list
List of strings that correspond to a shapefile field where the corresponding value(s) will be displayed.
colors : list
List of strings that correspond to colors to be displayed
shp_name : string
String name of shapefile to use for getting map extents
buff : float
Float value in coordinate degrees to buffer the map with
"""
self.setup_basemap_plot()
extent_coords, center_coords, standard_parallels = self.get_map_extents(shapefiles, shp_name = shp_name)
# create the basemap object with Albers Equal Area Conic Projection
bmap = Basemap(projection = "aea",
llcrnrlon = extent_coords["lon_min"] - buff, llcrnrlat = extent_coords["lat_min"] - buff,
urcrnrlon = extent_coords["lon_max"] + buff, urcrnrlat = extent_coords["lat_max"] + buff,
lat_1 = standard_parallels["first"], lat_2 = standard_parallels["second"],
lon_0 = center_coords["lon"], lat_0 = center_coords["lat"],
resolution = "h", area_thresh = 10000, ax = self.basemap_axes)
# have basemap object plot background stuff
bmap.drawcoastlines()
bmap.drawcountries()
bmap.drawrivers(linewidth = 1, color = "blue")
bmap.drawstates()
bmap.drawmapboundary(fill_color = "aqua")
bmap.fillcontinents(color = "coral", lake_color = "aqua")
bmap.drawparallels(np.arange(-80., 81., 1.), labels = [1, 0, 0, 0], linewidth = 0.5)
bmap.drawmeridians(np.arange(-180., 181., 1.), labels = [0, 0, 0, 1], linewidth = 0.5)
# plot each shapefile on the basemap
legend_handles = []
legend_labels = []
colors_index = 0
colors_list = ["b", "g", "y", "r", "c", "y", "m", "orange", "aqua", "darksalmon", "gold", "k"]
for shapefile_data in shapefiles:
# set up colors to use
if colors:
color = colors[colors_index]
elif colors_index > len(colors_list) - 1:
color = np.random.rand(3,)
else:
color = colors_list[colors_index]
full_path = os.path.join(shapefile_data["path"], shapefile_data["name"].split(".")[0])
shp_tuple = bmap.readshapefile(full_path, "shp", drawbounds = False) # use basemap shapefile reader for ease of plotting
for shape_dict, shape in zip(bmap.shp_info, bmap.shp): # zip the shapefile information and its shape as defined by basemap
if shapefile_data["type"] == "POLYGON":
p1 = Polygon(shape, facecolor = color, edgecolor = "k",
linewidth = 1, alpha = 0.7, label = shapefile_data["name"])
self.basemap_axes.add_patch(p1)
xx, yy = zip(*shape)
txt_x = str(np.mean(xx))
txt_y = str(np.mean(yy))
elif shapefile_data["type"] == "POINT":
x, y = shape
if "usgsgages" in shapefile_data["name"].split("_")[0]:
p1 = bmap.plot(x, y, color = color, marker = "^", markersize = 10, label = shapefile_data["name"])
elif "wateruse" in shapefile_data["name"].split("_")[0]:
p1 = bmap.plot(x, y, color = color, marker = "o", markersize = 5, label = shapefile_data["name"])
else:
print("what!!")
p1 = bmap.plot(x, y, color = color, marker = "o", markersize = 10, label = shapefile_data["name"])
txt_x = str(x)
txt_y = str(y)
else:
xx, yy = zip(*shape)
p1 = bmap.plot(xx, yy, linewidth = 1, color = color, label = shapefile_data["name"])
txt_x = str(np.mean(xx))
txt_y = str(np.mean(yy))
if isinstance(p1, list):
p1 = p1[0]
# control text display of shapefile fields
for display_field in display_fields:
if display_field in shape_dict.keys():
self.basemap_axes.text(txt_x, txt_y, shape_dict[display_field], color = "k", fontsize = 12, fontweight = "bold")
colors_index += 1
legend_handles.append(p1)
legend_labels.append(shapefile_data["name"].split("_")[0])
handles, labels = self.basemap_axes.get_legend_handles_labels()
# edit the contents of handles and labels to only show 1 legend per shape
handles = legend_handles
labels = legend_labels
legend = self.basemap_axes.legend(handles, labels, fancybox = True, numpoints = 1)
legend.get_frame().set_alpha(0.5)
legend.draggable(state = True)
# draw the plot
self.canvas.draw()
def clear_basemap_plot(self):
""" Clear the plot axes """
self.figure.clear()
self.canvas.draw()
def reset_basemap_plot(self):
""" Clear the plot axes """
self.basemap_axes.clear()
self.canvas.draw()
class Window(QtGui.QWidget):
def __init__(self, parent=None):
super(Window, self).__init__(parent)
self.setWindowTitle('OpenWave-1KB')
icon = QtGui.QIcon()
icon.addPixmap(QtGui.QPixmap("openwave.ico"), QtGui.QIcon.Normal,
QtGui.QIcon.Off)
self.setWindowIcon(icon)
#Waveform area.
self.figure = plt.figure()
self.figure.set_facecolor('white')
self.canvas = FigureCanvas(self.figure)
self.canvas.setMinimumSize(800, 400)
self.toolbar = NavigationToolbar(self.canvas, self)
self.toolbar.hide()
#Zoom In/out and Capture Buttons
self.zoomBtn = QtGui.QPushButton('Zoom')
self.zoomBtn.setFixedSize(100, 30)
self.zoomBtn.clicked.connect(self.toolbar.zoom)
self.panBtn = QtGui.QPushButton('Pan')
self.panBtn.setFixedSize(100, 30)
self.panBtn.clicked.connect(self.toolbar.pan)
self.homeBtn = QtGui.QPushButton('Home')
self.homeBtn.setFixedSize(100, 30)
self.homeBtn.clicked.connect(self.toolbar.home)
self.captureBtn = QtGui.QPushButton('Capture')
self.captureBtn.setFixedSize(100, 50)
self.captureBtn.clicked.connect(self.captureAction)
if (portNum == -1):
self.captureBtn.setEnabled(False)
#Type: Raw Data/Image
self.typeBtn = QtGui.QPushButton('Raw Data')
self.typeBtn.setToolTip("Switch to get raw data or image from DSO.")
self.typeBtn.setFixedSize(120, 50)
self.typeFlag = True #Initial state -> Get raw data
self.typeBtn.setCheckable(True)
self.typeBtn.setChecked(True)
self.typeBtn.clicked.connect(self.typeAction)
#Channel Selection.
self.ch1checkBox = QtGui.QCheckBox('CH1')
self.ch1checkBox.setFixedSize(60, 30)
self.ch2checkBox = QtGui.QCheckBox('CH2')
self.ch2checkBox.setFixedSize(60, 30)
if (dso.chnum == 4):
self.ch3checkBox = QtGui.QCheckBox('CH3')
self.ch3checkBox.setFixedSize(60, 30)
self.ch4checkBox = QtGui.QCheckBox('CH4')
self.ch4checkBox.setFixedSize(60, 30)
#Set channel selection layout.
self.selectLayout = QtGui.QHBoxLayout()
self.selectLayout.addWidget(self.ch1checkBox)
self.selectLayout.addWidget(self.ch2checkBox)
if (dso.chnum == 4):
self.selectLayout2 = QtGui.QHBoxLayout()
self.selectLayout2.addWidget(self.ch3checkBox)
self.selectLayout2.addWidget(self.ch4checkBox)
self.typeLayout = QtGui.QHBoxLayout()
self.typeLayout.addWidget(self.typeBtn)
self.typeLayout.addLayout(self.selectLayout)
if (dso.chnum == 4):
self.typeLayout.addLayout(self.selectLayout2)
#Save/Load/Quit button
self.saveBtn = QtGui.QPushButton('Save')
self.saveBtn.setFixedSize(100, 50)
self.saveMenu = QtGui.QMenu(self)
self.csvAction = self.saveMenu.addAction("&As CSV File")
self.pictAction = self.saveMenu.addAction("&As PNG File")
self.saveBtn.setMenu(self.saveMenu)
self.saveBtn.setToolTip("Save waveform to CSV file or PNG file.")
self.connect(self.csvAction, QtCore.SIGNAL("triggered()"),
self.saveCsvAction)
self.connect(self.pictAction, QtCore.SIGNAL("triggered()"),
self.savePngAction)
self.loadBtn = QtGui.QPushButton('Load')
self.loadBtn.setToolTip("Load CHx's raw data from file(*.csv, *.lsf).")
self.loadBtn.setFixedSize(100, 50)
self.loadBtn.clicked.connect(self.loadAction)
self.quitBtn = QtGui.QPushButton('Quit')
self.quitBtn.setFixedSize(100, 50)
self.quitBtn.clicked.connect(self.quitAction)
# set the layout
self.waveLayout = QtGui.QHBoxLayout()
self.waveLayout.addWidget(self.canvas)
self.wave_box = QtGui.QVBoxLayout()
self.wave_box.addLayout(self.waveLayout)
self.wavectrlLayout = QtGui.QHBoxLayout()
self.wavectrlLayout.addWidget(self.zoomBtn)
self.wavectrlLayout.addWidget(self.panBtn)
self.wavectrlLayout.addWidget(self.homeBtn)
self.wavectrlLayout.addWidget(self.captureBtn)
self.saveloadLayout = QtGui.QHBoxLayout()
self.saveloadLayout.addWidget(self.saveBtn)
self.saveloadLayout.addWidget(self.loadBtn)
self.saveloadLayout.addWidget(self.quitBtn)
self.ctrl_box = QtGui.QHBoxLayout()
self.ctrl_box.addLayout(self.typeLayout)
self.ctrl_box.addLayout(self.saveloadLayout)
main_box = QtGui.QVBoxLayout()
main_box.addLayout(self.wave_box) #Waveform area.
main_box.addLayout(self.wavectrlLayout) #Zoom In/Out...
main_box.addLayout(self.ctrl_box) #Save/Load/Quit
self.setLayout(main_box)
def typeAction(self):
if (self.typeFlag == True):
self.typeFlag = False
self.typeBtn.setText("Image")
self.csvAction.setEnabled(False)
else:
self.typeFlag = True
self.typeBtn.setText("Raw Data")
self.csvAction.setEnabled(True)
self.typeBtn.setChecked(self.typeFlag)
self.ch1checkBox.setEnabled(self.typeFlag)
self.ch2checkBox.setEnabled(self.typeFlag)
if (dso.chnum == 4):
self.ch3checkBox.setEnabled(self.typeFlag)
self.ch4checkBox.setEnabled(self.typeFlag)
def saveCsvAction(self):
if (self.typeFlag == True): #Save raw data to csv file.
file_name = QtGui.QFileDialog.getSaveFileName(
self, "Save as", '', "Fast CSV File(*.csv)")[0]
num = len(dso.ch_list)
#print num
for ch in xrange(num):
if (dso.info[ch] == []):
print(
'Failed to save data, raw data information is required!'
)
return
f = open(file_name, 'wb')
item = len(dso.info[0])
#Write file header.
f.write('%s, \n' % dso.info[0][0])
for x in xrange(1, 23):
str = ''
for ch in xrange(num):
str += ('%s,' % dso.info[ch][x])
str += '\n'
f.write(str)
if (num == 1):
str = 'Mode,Fast,\n'
f.write(str)
str = 'Waveform Data,\n'
f.write(str)
else:
str = ''
for ch in xrange(num):
str += ('Mode,Fast,')
str += '\n'
f.write(str)
str = ''
for ch in xrange(num):
str += ('Waveform Data,,')
str += '\n'
f.write(str)
#Write raw data.
item = len(dso.iWave[0])
#print item
tenth = int(item / 10)
n_tenth = tenth - 1
percent = 10
for x in xrange(item):
str = ''
if (num == 1):
str += ('%s,' % dso.iWave[0][x])
else:
for ch in xrange(num):
str += ('%s, ,' % dso.iWave[ch][x])
str += '\n'
f.write(str)
if (x == n_tenth):
n_tenth += tenth
print('%3d %% Saved\r' % percent),
percent += 10
f.close()
def savePngAction(self):
#Save figure to png file.
file_name = QtGui.QFileDialog.getSaveFileName(self, "Save as", '',
"PNG File(*.png)")[0]
if (file_name == ''):
return
if (self.typeFlag == True): #Save raw data waveform as png file.
main.figure.savefig(file_name)
print('Saved image to %s.' % file_name)
else: #Save figure to png file.
if (dso.nodename == 'pi'): #For raspberry pi only.
img = dso.im.transpose(Image.FLIP_TOP_BOTTOM)
img.save(file_name)
else:
dso.im.save(file_name)
print('Saved image to %s.' % file_name)
def loadAction(self):
dso.ch_list = []
full_path_name = QtGui.QFileDialog.getOpenFileName(
self, self.tr("Open File"), ".",
"CSV/LSF files (*.csv *.lsf);;All files (*.*)")
sFileName = unicode(full_path_name).split(',')[0][3:-1] #For PySide
print sFileName
if (len(sFileName) <= 0):
return
if os.path.exists(sFileName):
print 'Reading file...'
count = dso.readRawDataFile(sFileName)
#Draw waveform.
if (count > 0):
total_chnum = len(dso.ch_list)
if (total_chnum == 0):
return
if (dso.dataMode == 'Fast'):
self.drawWaveform(0)
else:
self.drawWaveform(0)
else:
print('File not found!')
def quitAction(self):
if (portNum != -1):
dso.IO.close()
self.close()
def captureAction(self):
dso.iWave = [[], [], [], []]
dso.ch_list = []
if (self.typeFlag == True): #Get raw data.
draw_flag = False
#Turn on the selected channels.
if ((self.ch1checkBox.isChecked() == True)
and (dso.isChannelOn(1) == False)):
dso.write(":CHAN1:DISP ON\n") #Set CH1 on.
if ((self.ch2checkBox.isChecked() == True)
and (dso.isChannelOn(2) == False)):
dso.write(":CHAN2:DISP ON\n") #Set CH2 on.
if (dso.chnum == 4):
if ((self.ch3checkBox.isChecked() == True)
and (dso.isChannelOn(3) == False)):
dso.write(":CHAN3:DISP ON\n") #Set CH3 on.
if ((self.ch4checkBox.isChecked() == True)
and (dso.isChannelOn(4) == False)):
dso.write(":CHAN4:DISP ON\n") #Set CH4 on.
#Get all the selected channel's raw datas.
if (self.ch1checkBox.isChecked() == True):
dso.getRawData(
True, 1) #Read CH1's raw data from DSO (including header).
if (self.ch2checkBox.isChecked() == True):
dso.getRawData(
True, 2) #Read CH2's raw data from DSO (including header).
if (dso.chnum == 4):
if (self.ch3checkBox.isChecked() == True):
dso.getRawData(
True,
3) #Read CH3's raw data from DSO (including header).
if (self.ch4checkBox.isChecked() == True):
dso.getRawData(
True,
4) #Read CH4's raw data from DSO (including header).
#Draw waveform.
total_chnum = len(dso.ch_list)
if (total_chnum == 0):
return
if (self.drawWaveform(1) == -1):
time.sleep(5)
self.drawWaveform(0)
else: #Get image.
dso.write(':DISP:OUTP?\n') #Send command to get image from DSO.
dso.getBlockData()
dso.RleDecode()
self.showImage()
plt.tight_layout(True)
self.canvas.draw()
print('Image is ready!')
def showImage(self):
#Turn the ticks off and show image.
plt.clf()
ax = plt.gca()
ax.xaxis.set_visible(False)
ax.yaxis.set_visible(False)
plt.imshow(dso.im)
def drawWaveform(self, mode):
total_chnum = len(dso.ch_list)
num = dso.points_num
ch_colortable = ['#C0B020', '#0060FF', '#FF0080', '#00FF60']
ch = int(dso.ch_list[0][2]) - 1 #Get the channel of first waveform.
plt.cla()
plt.clf()
#Due to the memory limitation of matplotlib, we must reduce the sample points.
if (num == 10000000):
if (total_chnum > 2):
down_sample_factor = 4
elif (total_chnum == 2):
down_sample_factor = 4
else:
down_sample_factor = 1
num = num / down_sample_factor
else:
down_sample_factor = 1
dt = dso.dt[0] #Get dt from the first opened channel.
t_start = dso.hpos[0] - num * dt / 2
t_end = dso.hpos[0] + num * dt / 2
t = np.arange(t_start, t_end, dt)
#print t_start, t_end, dt, len(t)
if ((len(t) - num) == 1): #Avoid floating point rounding error.
t = t[:-1]
wave_type = '-' #Set waveform type to vector.
#Draw waveforms.
ax = [[], [], [], []]
p = []
for ch in xrange(total_chnum):
if (ch == 0):
ax[ch] = host_subplot(111, axes_class=AA.Axes)
ax[ch].set_xlabel("Time (sec)")
else:
ax[ch] = ax[0].twinx()
ax[ch].set_ylabel("%s Units: %s" %
(dso.ch_list[ch], dso.vunit[ch]))
ch_color = ch_colortable[int(dso.ch_list[ch][2]) - 1]
if (ch > 1):
new_fixed_axis = ax[ch].get_grid_helper().new_fixed_axis
ax[ch].axis["right"] = new_fixed_axis(loc="right",
axes=ax[ch],
offset=(60 * (ch - 1),
0))
ax[ch].set_xlim(t_start, t_end)
ax[ch].set_ylim(-4 * dso.vdiv[ch] - dso.vpos[ch],
4 * dso.vdiv[ch] -
dso.vpos[ch]) #Setup vertical display range.
fwave = dso.convertWaveform(ch, down_sample_factor)
#print('Length=%d'%(len(fwave)))
if (ch == 0):
try:
p = ax[ch].plot(t,
fwave,
color=ch_color,
ls=wave_type,
label=dso.ch_list[ch])
except:
if (mode == 1):
#print sys.exc_info()[0]
time.sleep(5)
print 'Trying to plot again!',
return -1
else:
try:
p += ax[ch].plot(t,
fwave,
color=ch_color,
ls=wave_type,
label=dso.ch_list[ch])
except:
if (mode == 1):
#print sys.exc_info()[0]
time.sleep(5)
print 'Trying to plot again!',
return -1
if (total_chnum > 1):
labs = [l.get_label() for l in p]
plt.legend(p, labs, loc='upper right')
plt.tight_layout()
self.canvas.draw()
del ax, t, p
return 0
def rebuild_widget(self, number_of_plots, plot_stretching):
self.__number_of_plots = number_of_plots
self.__plot_stretching = plot_stretching
ids = []
if self.__top_vbox.count() < self.__number_of_plots:
ids = range(self.__top_vbox.count(), self.__number_of_plots)
for i in ids:
label = QLabel()
label.setFont(self.__font)
label.setAlignment(Qt.AlignCenter)
# Create the mpl Figure and FigCanvas objects.
# 5x4 inches, 100 dots-per-inch
#
#dpi = 100
#self.fig = Figure((5.0, 4.0), dpi=self.dpi)
fig = pyplot.figure()
canvas = FigureCanvas(fig)
canvas.setParent(self)
# Since we have only one plot, we can use add_axes
# instead of add_subplot, but then the subplot
# configuration tool in the navigation toolbar wouldn't
# work.
#
axes = fig.add_subplot(111)
# Create the navigation toolbar, tied to the canvas
#
mpl_toolbar = NavigationToolbar(canvas, self, False)
if self.__show_toolbar:
mpl_toolbar.show()
else:
mpl_toolbar.hide()
# Other GUI controls
#
tmp_vbox = QVBoxLayout()
tmp_vbox.addWidget(label)
tmp_vbox.addWidget(canvas, 1)
tmp_vbox.addWidget(mpl_toolbar)
widget = QWidget()
widget.setLayout(tmp_vbox)
self.__plots.append((label, canvas, fig, axes, mpl_toolbar, widget))
self.__plot_infos.append((self.PLOT_TYPE_NONE, '', None, {}))
self.__top_vbox.addWidget(widget)
for i in xrange(self.__number_of_plots):
stretch = 0
if plot_stretching != None:
stretch = plot_stretching[i]
self.__top_vbox.setStretch(i, stretch)
else:
self.__top_vbox.setStretch(i, 1)
plot = self.__plots[i]
label, canvas, fig, axes, mpl_toolbar, widget = plot
widget.show()
for i in xrange(self.__number_of_plots, self.__top_vbox.count()):
plot = self.__plots[i]
label, canvas, fig, axes, mpl_toolbar, widget = plot
widget.hide()
if self.__show_menu:
menubar = QMenuBar()
save_menu = menubar.addMenu("&Save")
menu_items = []
for i,plot_info in enumerate(self.__plot_infos):
plot_caption = plot_info[1]
menu_name = "Save &plot '%s' [%d]" % (plot_caption, i+1)
if len(plot_caption) == 0:
menu_name = "Save &plot #%d" % (i+1)
save_plot_action = self.__make_action(menu_name,
shortcut="Ctrl+P",
slot=functools.partial(self.on_save_plot, i))
menu_items.append(save_plot_action)
menu_items.append(None)
save_all_action = self.__make_action("Save &all plots",
shortcut="Ctrl+A", slot=self.on_save_all_plots)
menu_items.append(save_all_action)
self.__add_actions(save_menu, menu_items)
self.layout().setMenuBar(menubar)
class MplCanvas(QWidget):
"""Ultimately, this is a QWidget (as well as a FigureCanvasAgg, etc.)."""
def __init__(self, parent=None):
super(MplCanvas, self).__init__(parent)
#屏幕图片分辨率
self.fig = Figure(figsize=(8, 6), dpi=100)
self.canvas = FigureCanvas(self.fig)
self.canvas.setSizePolicy(QSizePolicy.Expanding, QSizePolicy.Expanding)
self.canvas.setParent(parent)
#调整画布区
self.fig.subplots_adjust(left=0.02, bottom=0.08, top=0.95, right=0.95)
self.fig.clear()
self.layout = QVBoxLayout()
self.layout.setContentsMargins(0, 0, 0, 0)
self.layout.addWidget(self.canvas)
self.mpl_toolbar = NavigationToolbar(self.canvas,
parent,
coordinates=False)
#self._init_MplToolBar()
self.mpl_toolbar.hide()
#self.layout.addWidget(self.mpl_toolbar)
self.setLayout(self.layout)
self._init_Axes()
def _init_MplToolBar(self):
"""设置toolbar上的功能键"""
a = self.mpl_toolbar.actions()
for i in a:
if i.iconText() == 'Home':
i.setToolTip(u'初始视图')
elif i.iconText() == 'Back':
i.setToolTip(u'后退')
elif i.iconText() == 'Forward':
i.setToolTip(u'前进')
elif i.iconText() == 'Pan':
i.setToolTip(u'鼠标左键平移，右键横竖缩放')
elif i.iconText() == 'Zoom':
i.setToolTip(u'局部缩放')
elif i.iconText() == 'Subplots':
self.mpl_toolbar.removeAction(i)
elif i.iconText() == 'Customize':
self.mpl_toolbar.removeAction(i)
elif i.iconText() == 'Save':
i.setToolTip(u'保存图片')
def _init_Axes(self):
self.axes = self.fig.add_subplot(111)
self.axes.yaxis.set_visible(False)
#self.axes.tick_params(axis='y', left='off', labelleft='off', width=0)
self.axes.tick_params(axis='x', top='off')
self.axes.spines['right'].set_visible(False)
self.axes.spines['top'].set_visible(False)
self.axes.spines['left'].set_visible(False)
self.axes.spines['bottom'].set_visible(True)
self.axes.set_xlabel(u'时间(s)')
self.cur_axes = self.axes
self.x_left, self.x_right = self.cur_axes.get_xlim()
self.y_bottom, self.y_top = self.cur_axes.get_ylim()
def _init_View(self):
"""
记录当前canvas
"""
self.mpl_toolbar.update()
self.mpl_toolbar.push_current()
self.x_left, self.x_right = self.cur_axes.get_xlim()
self.y_bottom, self.y_top = self.cur_axes.get_ylim()
class MplWidget(QtGui.QWidget):
"""Widget defined in Qt Designer"""
def __init__(self, tools, toolbar=True, menu=True, parent=None):
# initialization of Qt MainWindow widget
QtGui.QWidget.__init__(self, parent)
# set the canvas to the Matplotlib widget
self.canvas = MplCanvas()
# create a vertical box layout
self.layout = QtGui.QVBoxLayout()
# add mpl widget to layout
self.layout.addWidget(self.canvas)
# reference to toolsFrame
self.tool = tools
if toolbar:
# add navigation toolbar to layout
self.toolbar = NavigationToolbar(self.canvas, self)
self.layout.addWidget(self.toolbar)
# enable hover event handling
self.setAttribute(Qt.WA_Hover)
# create and install event filter
self.filter = Filter(self)
self.installEventFilter(self.filter)
# hide toolbar
self.initComponents()
else:
self.toolbar = None
# set the layout to th vertical box
self.setLayout(self.layout)
# active lines list
self.lines = []
# legend
self.legend = None
# autoscale
self.canvas.ax.autoscale_view(True, True, True)
if menu:
# setup context menu
self.setContextMenuPolicy(Qt.ActionsContextMenu)
self.initActions()
self.alwaysAutoScale.setChecked(True)
#-------------- initialization ---------------#
def initComponents(self):
if self.toolbar is not None:
self.toolbar.hide()
self.newIcons()
def initActions(self):
# toolbar
self.toggleLegendAction = QtGui.QAction(QtGui.QIcon(RES + ICONS + LEGEND), 'Toggle legend',
self, triggered=self.toggleLegend)
self.toggleLegendAction.setCheckable(True)
if self.toolbar is not None:
self.toolbar.addAction(self.toggleLegendAction)
# context menu
self.addAction(self.toggleLegendAction)
self.addAction(QtGui.QAction(QtGui.QIcon(RES + ICONS + COPY),'Copy data to table',
self, triggered=self.toTable))
self.addAction(QtGui.QAction(QtGui.QIcon(RES + ICONS + GRAPH),'Plot data in tools',
self, triggered=self.toGraphTool))
self.addAction(QtGui.QAction(QtGui.QIcon(RES + ICONS + SCALE), 'Autoscale',
self, triggered=self.updateScale))
self.alwaysAutoScale = QtGui.QAction('Scale on update', self)
self.alwaysAutoScale.setCheckable(True)
self.selectLinesMenu = QtGui.QMenu()
self.selectLines = (QtGui.QAction('Plots', self))
self.selectLines.setMenu(self.selectLinesMenu)
aSep = QtGui.QAction('', self)
aSep.setSeparator(True)
self.addAction(aSep)
self.addAction(self.selectLines)
self.addAction(self.alwaysAutoScale)
def newIcons(self):
for position in range(0, self.toolbar.layout().count()):
widget = self.toolbar.layout().itemAt(position).widget()
if isinstance(widget, QtGui.QToolButton):
icon = QtGui.QIcon(RES + ICONS + TOOLBAR_ICONS[position])
self.toolbar.layout().itemAt(position).widget().setIcon(icon)
self.toolbar.setIconSize(QSize(ICO_GRAPH, ICO_GRAPH))
def resetGraphicEffect(self):
if self.graphicsEffect() is not None:
self.graphicsEffect().setEnabled(False)
#------------- plotting methods ---------------#
## Hides axes in widget.
# @param axes Widget axes form canvas.
@staticmethod
def hideAxes(axes):
axes.get_xaxis().set_visible(False)
axes.get_yaxis().set_visible(False)
## Clears widget canvas, removing all data and clearing figure.
# @param repaint_axes Add standard plot after clearing figure.
def clearCanvas(self, repaint_axes=True):
self.canvas.ax.clear()
self.canvas.fig.clear()
if repaint_axes:
self.canvas.ax = self.canvas.fig.add_subplot(111)
## Update existing data or plot anew.
# @param data List or array to plot/update.
# @param line Which line (by index) to update (if any).
# @param label Data label (new or existing).
# @param style Line style (solid, dashed, dotted).
# @param color Line color.
def updatePlot(self, data, line=0, label=None, style='solid', color=None):
if not self.canvas.ax.has_data():
if label is not None:
if color is not None:
self.lines = self.canvas.ax.plot(data, label=label, linestyle=style, color=color)
else:
self.lines = self.canvas.ax.plot(data, label=label, linestyle=style)
else:
if color is not None:
self.lines = self.canvas.ax.plot(data, linestyle=style, color=color)
else:
self.lines = self.canvas.ax.plot(data, linestyle=style)
else:
if not self.lines:
self.lines = self.canvas.ax.get_lines()
if label is not None:
if label not in [l._label for l in self.lines]:
if color is not None:
self.lines.extend(self.canvas.ax.plot(data, label=label, linestyle=style, color=color))
else:
self.lines.extend(self.canvas.ax.plot(data, label=label, linestyle=style))
line = len(self.lines) - 1
else:
line = [l._label for l in self.lines].index(label)
line_to_update = self.lines[line]
if len(data) != len(line_to_update._x):
# x, y ~ data in y
line_to_update.set_data(np.arange(len(data)), data)
else:
# in case data length stays the same
line_to_update.set_data(line_to_update._x, data)
self.canvas.draw()
self.updateLegend()
self.updateLinesSubmenu()
if self.alwaysAutoScale.isChecked():
self.updateScale()
## Plots scalogram for wavelet decomposition.
# @param data Wavelet coefficients in matrix.
# @param top Axis position.
# @param colorbar Shows colorbar for data levels.
# @param power Scales resulting graph by power of 2.
def scalogram(self, data, top=True, colorbar=True, power=False):
# self.resetGraphicEffect()
self.clearCanvas()
x = np.arange(len(data[0]))
y = np.arange(len(data))
if power:
contour = self.canvas.ax.contourf(x, y, np.abs(data) ** 2)
else:
contour = self.canvas.ax.contourf(x, y, np.abs(data))
if colorbar:
self.canvas.fig.colorbar(contour, ax=self.canvas.ax, orientation='vertical', format='%2.1f')
if top:
self.canvas.ax.set_ylim((y[-1], y[0]))
else:
self.canvas.ax.set_ylim((y[0], y[-1]))
self.canvas.ax.set_xlim((x[0], x[-1]))
# self.canvas.ax.set_ylabel('scales')
self.canvas.draw()
## Plots list of arrays with shared x/y axes.
# @param data Arrays to plot (list or matrix).
def multiline(self, data):
# self.resetGraphicEffect()
# abscissa
axprops = dict(yticks=[])
# ordinate
yprops = dict(rotation=0,
horizontalalignment='right',
verticalalignment='center',
x=-0.01)
# level/figure ratio
ratio = 1. / len(data)
# positioning (fractions of total figure)
left = 0.1
bottom = 1.0
width = 0.85
space = 0.035
height = ratio - space
# legend
label = 'Lvl %d'
i = 0
bottom -= height
ax = self.canvas.fig.add_axes([left, bottom - space, width, height], **axprops)
ax.plot(data[i])
setp(ax.get_xticklabels(), visible=False)
ax.set_ylabel(label % i, **yprops)
i += 1
axprops['sharex'] = ax
axprops['sharey'] = ax
while i < len(data):
bottom -= height
ax = self.canvas.fig.add_axes([left, bottom, width, height], **axprops)
ax.plot(data[i], label='Lvl' + str(i))
ax.set_ylabel(label % i, **yprops)
i += 1
if i != len(data):
setp(ax.get_xticklabels(), visible=False)
#----------------- actions -----------------#
def getTopParent(self):
widget = self.parentWidget()
while True:
if widget.parentWidget() is None:
return widget
else:
widget = widget.parentWidget()
def toggleLegend(self):
self.updateLegend()
def updateLegend(self):
#NB: sometimes induces random exceptions from legend.py -> offsetbox.py
try:
prop = font_manager.FontProperties(size=11)
self.legend = DraggableLegend(self.canvas.ax.legend(fancybox=True, shadow=True, prop=prop))
if self.toggleLegendAction.isChecked():
self.legend.legend.set_visible(True)
else:
self.legend.legend.set_visible(False)
self.canvas.draw()
except Exception, e:
pass
class MplWidget(QtGui.QWidget):
"""Widget defined in Qt Designer"""
def __init__(self, toolbar=True, menu=True, parent=None):
# initialization of Qt MainWindow widget
QtGui.QWidget.__init__(self, parent)
# set the canvas to the Matplotlib widget
self.canvas = MplCanvas()
# create a vertical box layout
self.layout = QtGui.QVBoxLayout()
# add mpl widget to layout
self.layout.addWidget(self.canvas)
if toolbar:
# add navigation toolbar to layout
self.toolbar = NavigationToolbar(self.canvas, self)
self.layout.addWidget(self.toolbar)
# enable hover event handling
self.setAttribute(Qt.WA_Hover)
# create and install event filter
self.filter = Filter(self)
self.installEventFilter(self.filter)
# hide toolbar
self.initComponents()
else:
self.toolbar = None
# set the layout to th vertical box
self.setLayout(self.layout)
# active lines list
self.lines = []
# legend
self.legend = None
# autoscale
self.canvas.ax.autoscale_view(True, True, True)
if menu:
# setup context menu
self.setContextMenuPolicy(Qt.ActionsContextMenu)
self.initActions()
self.alwaysAutoScale.setChecked(True)
#-------------- initialization ---------------#
def initComponents(self):
if self.toolbar is not None:
self.toolbar.hide()
self.newIcons()
def initActions(self):
# toolbar
#self.toggleLegendAction = QtGui.QAction(QtGui.QIcon(RES + ICONS + LEGEND), 'Toggle legend',
#self, triggered=self.toggleLegend)
#self.toggleLegendAction.setCheckable(True)
#if self.toolbar is not None:
#self.toolbar.addAction(self.toggleLegendAction)
# context menu
#self.addAction(self.toggleLegendAction)
#self.addAction(QtGui.QAction(QtGui.QIcon(RES + ICONS + COPY),'Copy data to table',
#self, triggered=self.toTable))
#self.addAction(QtGui.QAction(QtGui.QIcon(RES + ICONS + GRAPH),'Plot data in tools',
#self, triggered=self.toGraphTool))
#self.addAction(QtGui.QAction(QtGui.QIcon(RES + ICONS + SCALE), 'Autoscale',
#self, triggered=self.updateScale))
self.alwaysAutoScale = QtGui.QAction('Scale on update', self)
self.alwaysAutoScale.setCheckable(True)
self.selectLinesMenu = QtGui.QMenu()
self.selectLines = (QtGui.QAction('Plots', self))
self.selectLines.setMenu(self.selectLinesMenu)
aSep = QtGui.QAction('', self)
aSep.setSeparator(True)
self.addAction(aSep)
self.addAction(self.selectLines)
self.addAction(self.alwaysAutoScale)
def newIcons(self):
for position in range(0, self.toolbar.layout().count()):
widget = self.toolbar.layout().itemAt(position).widget()
#if isinstance(widget, QtGui.QToolButton):
#icon = QtGui.QIcon(RES + ICONS + TOOLBAR_ICONS[position])
#self.toolbar.layout().itemAt(position).widget().setIcon(icon)
#self.toolbar.setIconSize(QSize(ICO_GRAPH, ICO_GRAPH))
def resetGraphicEffect(self):
if self.graphicsEffect() is not None:
self.graphicsEffect().setEnabled(False)
#------------- plotting methods ---------------#
def histogram(self, data):
pass
def kanjiStats(self, data):
self.clearCanvas()
picked, freqs = data
# will lag
#self.statPlot.canvas.ax.bar(freqs, picked)
self.canvas.ax.plot(freqs, picked)
self.canvas.ax.set_xlabel('Frequency')
self.canvas.ax.set_ylabel('Number of times picked')
self.canvas.ax.set_title('Distribution of (pseudo)randomly selected kanji')
#self.statPlot.canvas.ax.text(max(freqs)/2, max(picked),
#"""This distribution illustrates how much times (max %d)
#kanji with different frequencies (max %d) has been picked"""
#% (max(picked), max(freqs)), bbox=dict(facecolor='blue', alpha=0.1))
self.canvas.ax.grid(True)
self.canvas.ax.fill_between(freqs, picked, 1,
facecolor='blue', alpha=0.5)
self.canvas.draw()
## Hides axes in widget.
# @param axes Widget axes form canvas.
@staticmethod
def hideAxes(axes):
axes.get_xaxis().set_visible(False)
axes.get_yaxis().set_visible(False)
## Clears widget canvas, removing all data and clearing figure.
# @param repaint_axes Add standard plot after clearing figure.
def clearCanvas(self, repaint_axes=True):
self.canvas.ax.clear()
self.canvas.fig.clear()
if repaint_axes:
self.canvas.ax = self.canvas.fig.add_subplot(111)
## Update existing data or plot anew.
# @param data List or array to plot/update.
# @param line Which line (by index) to update (if any).
# @param label Data label (new or existing).
# @param style Line style (solid, dashed, dotted).
# @param color Line color.
def updatePlot(self, data, line=0, label=None, style='solid', color=None):
if not self.canvas.ax.has_data():
if label is not None:
if color is not None:
self.lines = self.canvas.ax.plot(data, label=label, linestyle=style, color=color)
else:
self.lines = self.canvas.ax.plot(data, label=label, linestyle=style)
else:
if color is not None:
self.lines = self.canvas.ax.plot(data, linestyle=style, color=color)
else:
self.lines = self.canvas.ax.plot(data, linestyle=style)
else:
if not self.lines:
self.lines = self.canvas.ax.get_lines()
if label is not None:
if label not in [l._label for l in self.lines]:
if color is not None:
self.lines.extend(self.canvas.ax.plot(data, label=label, linestyle=style, color=color))
else:
self.lines.extend(self.canvas.ax.plot(data, label=label, linestyle=style))
line = len(self.lines) - 1
else:
line = [l._label for l in self.lines].index(label)
line_to_update = self.lines[line]
if len(data) != len(line_to_update._x):
# x, y ~ data in y
line_to_update.set_data(np.arange(len(data)), data)
else:
# in case data length stays the same
line_to_update.set_data(line_to_update._x, data)
self.canvas.draw()
self.updateLegend()
self.updateLinesSubmenu()
if self.alwaysAutoScale.isChecked():
self.updateScale()
## Plots scalogram for wavelet decomposition.
# @param data Wavelet coefficients in matrix.
# @param top Axis position.
# @param colorbar Shows colorbar for data levels.
# @param power Scales resulting graph by power of 2.
def scalogram(self, data, top=True, colorbar=True, power=False):
# self.resetGraphicEffect()
self.clearCanvas()
x = np.arange(len(data[0]))
y = np.arange(len(data))
if power:
contour = self.canvas.ax.contourf(x, y, np.abs(data) ** 2)
else:
contour = self.canvas.ax.contourf(x, y, np.abs(data))
if colorbar:
self.canvas.fig.colorbar(contour, ax=self.canvas.ax, orientation='vertical', format='%2.1f')
if top:
self.canvas.ax.set_ylim((y[-1], y[0]))
else:
self.canvas.ax.set_ylim((y[0], y[-1]))
self.canvas.ax.set_xlim((x[0], x[-1]))
# self.canvas.ax.set_ylabel('scales')
self.canvas.draw()
## Plots list of arrays with shared x/y axes.
# @param data Arrays to plot (list or matrix).
def multiline(self, data):
# self.resetGraphicEffect()
# abscissa
axprops = dict(yticks=[])
# ordinate
yprops = dict(rotation=0,
horizontalalignment='right',
verticalalignment='center',
x=-0.01)
# level/figure ratio
ratio = 1. / len(data)
# positioning (fractions of total figure)
left = 0.1
bottom = 1.0
width = 0.85
space = 0.035
height = ratio - space
# legend
label = 'Lvl %d'
i = 0
bottom -= height
ax = self.canvas.fig.add_axes([left, bottom - space, width, height], **axprops)
ax.plot(data[i])
setp(ax.get_xticklabels(), visible=False)
ax.set_ylabel(label % i, **yprops)
i += 1
axprops['sharex'] = ax
axprops['sharey'] = ax
while i < len(data):
bottom -= height
ax = self.canvas.fig.add_axes([left, bottom, width, height], **axprops)
ax.plot(data[i], label='Lvl' + str(i))
ax.set_ylabel(label % i, **yprops)
i += 1
if i != len(data):
setp(ax.get_xticklabels(), visible=False)
#----------------- actions -----------------#
def getTopParent(self):
widget = self.parentWidget()
while True:
if widget.parentWidget() is None:
return widget
else:
widget = widget.parentWidget()
def toggleLegend(self):
self.updateLegend()
def updateLegend(self):
#NB: sometimes induces random exceptions from legend.py -> offsetbox.py
try:
prop = font_manager.FontProperties(size=11)
self.legend = DraggableLegend(self.canvas.ax.legend(fancybox=True, shadow=True, prop=prop))
if self.toggleLegendAction.isChecked():
self.legend.legend.set_visible(True)
else:
self.legend.legend.set_visible(False)
self.canvas.draw()
except Exception, e:
pass
class Window(QtGui.QDialog):
def __init__(self, parent=None):
super(Window, self).__init__(parent)
self.figure = plt.figure()
self.canvas = FigureCanvas(self.figure)
self.canvas.setSizePolicy(QtGui.QSizePolicy.Preferred, QtGui.QSizePolicy.Expanding)
self.toolbar = NavigationToolbar(self.canvas, self)
self.toolbar.hide()
# Just some button
self.colorcardRadioButton = QtGui.QRadioButton('Select color car&d')
self.colorcardRadioButton.setChecked(False)
self.colorcardRadioButton.clicked.connect(self.selectWhat)
self.trayRadioButton = QtGui.QRadioButton('Select &tray')
self.trayRadioButton.setChecked(False)
self.trayRadioButton.clicked.connect(self.selectWhat)
self.potRadioButton = QtGui.QRadioButton('Select &pot')
self.potRadioButton.setChecked(False)
self.potRadioButton.clicked.connect(self.selectWhat)
self.loadImageButton = QtGui.QPushButton('&Load image')
self.loadImageButton.clicked.connect(self.loadImage)
self.rotateImageButton = QtGui.QPushButton('&Rotate 90-deg')
self.rotateImageButton.clicked.connect(self.rotateImage90Degrees)
self.loadCamCalibButton = QtGui.QPushButton('Load &cam. param.')
self.loadCamCalibButton.clicked.connect(self.loadCamCalib)
self.saveGeometriesButton = QtGui.QPushButton('&Save selected geometries')
self.saveGeometriesButton.clicked.connect(self.saveSelectedGeometries)
self.saveTraysButton = QtGui.QPushButton('&Save selected tray images')
self.saveTraysButton.clicked.connect(self.saveSelectedTrayImages)
self.saveColorcadButton = QtGui.QPushButton('&Save sel. col. card images')
self.saveColorcadButton.clicked.connect(self.saveSelectedColorcardImages)
self.save2PipelineButton = QtGui.QPushButton('&Save as pipeline settings')
self.save2PipelineButton.clicked.connect(self.savePipelineSettings)
self.zoomButton = QtGui.QPushButton('&Zoom')
self.zoomButton.setCheckable(True)
self.zoomButton.clicked.connect(self.zoom)
self.panButton = QtGui.QPushButton('&Pan')
self.panButton.setCheckable(True)
self.panButton.clicked.connect(self.pan)
self.homeButton = QtGui.QPushButton('&Home')
self.homeButton.clicked.connect(self.home)
self.status = QtGui.QTextEdit('')
self.status.setSizePolicy(QtGui.QSizePolicy.Preferred, QtGui.QSizePolicy.Expanding)
self.mousePosition = QtGui.QLabel('')
# set the layout
layout = QtGui.QHBoxLayout()
rightWidget = QtGui.QWidget()
buttonlayout = QtGui.QVBoxLayout(rightWidget)
buttonlayout.addWidget(self.loadImageButton)
buttonlayout.addWidget(self.rotateImageButton)
buttonlayout.addWidget(self.loadCamCalibButton)
buttonlayout.addWidget(self.colorcardRadioButton)
buttonlayout.addWidget(self.trayRadioButton)
buttonlayout.addWidget(self.potRadioButton)
buttonlayout.addWidget(self.zoomButton)
buttonlayout.addWidget(self.panButton)
buttonlayout.addWidget(self.homeButton)
buttonlayout.addWidget(self.saveGeometriesButton)
buttonlayout.addWidget(self.saveColorcadButton)
buttonlayout.addWidget(self.saveTraysButton)
buttonlayout.addWidget(self.save2PipelineButton)
buttonlayout.addWidget(self.status)
buttonlayout.addWidget(self.mousePosition)
rightWidget.setMaximumWidth(200)
leftLayout = QtGui.QVBoxLayout()
leftLayout.addWidget(self.toolbar)
leftLayout.addWidget(self.canvas)
layout.addWidget(rightWidget)
layout.addLayout(leftLayout)
self.setLayout(layout)
self.group = QtGui.QButtonGroup()
self.group.addButton(self.colorcardRadioButton)
self.group.addButton(self.trayRadioButton)
self.group.addButton(self.potRadioButton)
self.panMode = False
self.zoomMode = False
self.ax = None
self.plotRect = None
self.plotImg = None
self.image = None
self.potTemplate = None
self.UndistMapX = None
self.UndistMapY = None
self.trayAspectRatio = 0.835
self.colorcardAspectRatio = 1.5
self.potAspectRatio = 1.0
self.leftClicks = []
self.ImageSize = None
self.CameraMatrix = None
self.DistCoefs = None
# # change cursor shape
# self.setCursor(QtGui.QCursor(QtCore.Qt.CrossCursor ))
# Ouput parameters
self.colorcardList = []
self.trayList = []
self.potList = []
self.rotationAngle = 0
self.isDistortionCorrected = False
def selectWhat(self):
if self.trayRadioButton.isChecked():
self.status.append('Start selecting tray.')
elif self.colorcardRadioButton.isChecked():
self.status.append('Start selecting color bar.')
else:
self.status.append('Start selecting pot.')
def home(self):
self.toolbar.home()
def zoom(self):
self.toolbar.zoom()
if not self.zoomMode:
self.zoomMode = True
self.panMode = False
self.panButton.setChecked(False)
else:
self.zoomMode = False
def pan(self):
self.toolbar.pan()
if not self.panMode:
self.panMode = True
self.zoomMode = False
self.zoomButton.setChecked(False)
else:
self.panMode = False
def loadImage(self):
''' load and show an image'''
fname = QtGui.QFileDialog.getOpenFileName(self, 'Open image', '/mnt/phenocam/a_data/TimeStreams/BorevitzTest/BVZ0036/BVZ0036-GC02L~fullres-orig/2014/2014_06/2014_06_20/2014_06_20_12')
self.status.append('Loading image...')
app.processEvents()
self.image = cv2.imread(str(fname))[:,:,::-1]
self.status.append('Loaded image from ' + str(fname))
# reset all outputs
self.colorcardList = []
self.trayList = []
self.potList = []
self.rotationAngle = 0
self.isDistortionCorrected = False
# Undistort image if mapping available
if not self.isDistortionCorrected and self.UndistMapX != None and self.UndistMapY != None:
self.image = cv2.remap(self.image.astype(np.uint8), self.UndistMapX, self.UndistMapY, cv2.INTER_CUBIC)
self.isDistortionCorrected = True
if self.image != None:
if self.ax == None:
self.ax = self.figure.add_subplot(111)
self.ax.figure.canvas.mpl_connect('button_press_event', self.onMouseClicked)
self.ax.figure.canvas.mpl_connect('motion_notify_event', self.onMouseMoves)
self.ax.figure.canvas.mpl_connect('figure_enter_event', self.changeCursor)
self.ax.hold(False)
if self.plotImg == None:
self.plotImg = self.ax.imshow(self.image)
else:
self.plotImg.set_data(self.image)
self.figure.tight_layout()
self.canvas.draw()
def changeCursor(self, event):
# cursor = Cursor(self.ax, useblit=True, color='red', linewidth=1)
self.canvas.setCursor(QtGui.QCursor(QtCore.Qt.CrossCursor ))
def updateFigure(self):
xs, ys = [], []
for Rect in self.colorcardList:
tl, bl, br, tr = Rect
xs = xs + [tl[0], bl[0], br[0], tr[0], tl[0], np.nan]
ys = ys + [tl[1], bl[1], br[1], tr[1], tl[1], np.nan]
for Rect in self.trayList:
tl, bl, br, tr = Rect
xs = xs + [tl[0], bl[0], br[0], tr[0], tl[0], np.nan]
ys = ys + [tl[1], bl[1], br[1], tr[1], tl[1], np.nan]
for Rect in self.potList:
tl, bl, br, tr = Rect
xs = xs + [tl[0], bl[0], br[0], tr[0], tl[0], np.nan]
ys = ys + [tl[1], bl[1], br[1], tr[1], tl[1], np.nan]
for x,y in self.leftClicks:
xs = xs + [x]
ys = ys + [y]
# if self.crosshair != None:
# xs = xs + [np.nan, 0, self.image.shape[1], np.nan, self.crosshair[0], self.crosshair[0], np.nan]
# ys = ys + [np.nan, self.crosshair[1], self.crosshair[1], np.nan, 0, self.image.shape[0], np.nan]
if len(xs) > 0 and len(ys) > 0:
if self.plotRect == None:
self.ax.hold(True)
self.plotRect, = self.ax.plot(xs, ys, 'b')
self.ax.hold(False)
self.ax.set_xlim([0,self.image.shape[1]])
self.ax.set_ylim([0,self.image.shape[0]])
self.ax.invert_yaxis()
else:
self.plotRect.set_data(xs, ys)
self.canvas.draw()
app.processEvents()
def loadCamCalib(self):
''' load camera calibration image and show an image'''
CalibFile = QtGui.QFileDialog.getOpenFileName(self, 'Open image', '/home/chuong/Workspace/traitcapture-bin/unwarp_rectify/data')
self.ImageSize, SquareSize, self.CameraMatrix, self.DistCoefs, RVecs, TVecs = utils.readCalibration(CalibFile)
self.status.append('Loaded camera parameters from ' + CalibFile)
print('CameraMatrix =', self.CameraMatrix)
print('DistCoefs =', self.DistCoefs)
self.UndistMapX, self.UndistMapY = cv2.initUndistortRectifyMap(self.CameraMatrix, self.DistCoefs, \
None, self.CameraMatrix, self.ImageSize, cv2.CV_32FC1)
if self.image != None:
self.image = cv2.remap(self.image.astype(np.uint8), self.UndistMapX, self.UndistMapY, cv2.INTER_CUBIC)
self.isDistortionCorrected = True
self.status.append('Corrected image distortion.')
if self.plotImg == None:
self.plotImg = self.ax.imshow(self.image)
else:
self.plotImg.set_data(self.image)
self.canvas.draw()
# def loadPotTemplate(self):
# ''' load pot template image'''
# fname = QtGui.QFileDialog.getOpenFileName(self, 'Open image', '/home/chuong/Workspace/traitcapture-bin/unwarp_rectify/data')
# self.status.append('Loading image...')
# app.processEvents()
# self.potTemplate = cv2.imread(str(fname))[:,:,::-1]
# if len(self.potList) > 0:
def saveSelectedGeometries(self):
''' save selected geometries'''
fname = QtGui.QFileDialog.getSaveFileName(self, 'Save selected geometries', '/home/chuong/Workspace/traitcapture-bin/unwarp_rectify/data')
colorcardList2 = []
for colorcard in self.colorcardList:
colorcardList2 = colorcardList2 + colorcard
trayList2 = []
for tray in self.trayList:
trayList2 = trayList2 + tray
potList2 = []
for pot in self.potList:
potList2 = potList2 + pot
dicdata = {'colorcardself.crosshair = NoneList':np.asarray(colorcardList2), \
'trayList':np.asarray(trayList2), \
'potList':np.asarray(potList2), \
'rotationAngle':self.rotationAngle, \
'distortionCorrected':int(self.isDistortionCorrected)}
cv2yml.dic2yml(fname, dicdata)
self.status.append('Saved selected geometries to ' + fname)
def saveSelectedTrayImages(self):
''' save selected trays'''
fname = QtGui.QFileDialog.getSaveFileName(self, 'Save selected tray images', '/home/chuong/Workspace/traitcapture-bin/unwarp_rectify/data')
medianWidth, medianHeight = utils.getMedianRectSize(self.trayList)
rectifiedTrayImages = utils.rectifyRectImages(self.image, self.trayList, MedianSize = [medianWidth, medianHeight])
for i,rectifiedImage in enumerate(rectifiedTrayImages):
cv2.imwrite(str(fname) %i, rectifiedImage)
def saveSelectedColorcardImages(self):
''' save selected trays'''
fname = QtGui.QFileDialog.getSaveFileName(self, 'Save selected color card images', '/home/chuong/Workspace/traitcapture-bin/unwarp_rectify/data')
medianWidth, medianHeight = utils.getMedianRectSize(self.colorcardList)
rectifiedColorcardImages = utils.rectifyRectImages(self.image, self.colorcardList, MedianSize = [medianWidth, medianHeight])
for i,rectifiedImage in enumerate(rectifiedColorcardImages):
cv2.imwrite(str(fname) %i, rectifiedImage)
def savePipelineSettings(self):
''' save to pipeline setting file'''
fname = QtGui.QFileDialog.getSaveFileName(self, 'Save selection to pipeline settings', '/home/chuong/Workspace/traitcapture-bin/unwarp_rectify/data')
settingPath = os.path.dirname(str(fname))
settings = []
if self.ImageSize != None and self.CameraMatrix != None and self.DistCoefs != None:
undistort = ['undistort', \
{'mess': 'perform optical undistortion', \
'cameraMatrix': self.CameraMatrix.tolist(), \
'distortCoefs': self.DistCoefs.tolist(), \
'imageSize': list(self.ImageSize),
'rotationAngle': self.rotationAngle
} \
]
else:
undistort = ['undistort', {'mess': '---skip optical undistortion---'}]
settings.append(undistort)
if len(self.colorcardList) > 0:
medianSize = utils.getMedianRectSize(self.colorcardList)
capturedColorcards = utils.rectifyRectImages(self.image, self.colorcardList, medianSize)
colorCardFile = 'CapturedColorcard.png'
cv2.imwrite(os.path.join(settingPath, colorCardFile), capturedColorcards[0][:,:,::-1].astype(np.uint8))
colorcardColors, colorStd = utils.getColorcardColors(capturedColorcards[0], GridSize = [6,4])
colorcardPosition, Width, Height, Angle = utils.getRectangleParamters(self.colorcardList[0])
colorcarddetect = ['colorcarddetect', \
{'mess': '---perform color card detection---', \
'colorcardFile': colorCardFile,\
'colorcardPosition': colorcardPosition.tolist(),\
'colorcardTrueColors': utils.CameraTrax_24ColorCard
}
]
else:
colorcarddetect = ['colorcarddetect', {'mess': '---skip color card detection---'}]
settings.append(colorcarddetect)
colorcorrect = ['colorcorrect', {'mess': '---perform color correction---'}]
settings.append(colorcorrect)
if len(self.trayList) > 0:
trayMedianSize = utils.getMedianRectSize(self.trayList)
trayImages = utils.rectifyRectImages(self.image, self.trayList, trayMedianSize)
colorcardColors, colorStd = utils.getColorcardColors(capturedColorcards[0], GridSize = [6,4])
trayDict = {'mess': '---perform tray detection---'}
trayDict['trayNumber'] = len(self.trayList)
trayDict['trayFiles'] = 'Tray_%02d.png'
trayPositions = []
for i,tray in enumerate(trayImages):
cv2.imwrite(os.path.join(settingPath, trayDict['trayFiles'] %i), tray[:,:,::-1].astype(np.uint8))
trayPosition, Width, Height, Angle = utils.getRectangleParamters(self.trayList[i])
trayPositions.append(trayPosition.tolist())
trayDict['trayPositions'] = trayPositions
traydetect = ['traydetect', trayDict]
else:
traydetect = ['traydetect', {'mess': '---skip tray detection---'}]
settings.append(traydetect)
if len(self.potList) > 0:
trayMedianSize = utils.getMedianRectSize(self.trayList)
potPosition, Width, Height, Angle = utils.getRectangleParamters(self.potList[0])
Width, Height = int(Width), int(Height)
topLeft = [int(self.potList[0][0][0]), int(self.potList[0][0][1])]
self.potImage = self.image[topLeft[1]:topLeft[1]+Height, topLeft[0]:topLeft[0]+Width, :]
potFile = 'Pot.png'
cv2.imwrite(os.path.join(settingPath, potFile), self.potImage[:,:,::-1].astype(np.uint8))
potDict = {'mess': '---perform pot detection---'}
potDict['potPosition'] = potPosition.tolist()
potDict['potSize'] = [int(Width), int(Height)]
potDict['traySize'] = [int(trayMedianSize[0]), int(trayMedianSize[1])]
potDict['potFile'] = potFile
if self.potTemplate != None:
potTemplateFile = 'potTemplate.png'
cv2.imwrite(os.path.join(settingPath, potTemplateFile), self.potTemplate[:,:,::-1])
potDict['potTemplateFile'] = potTemplateFile
potdetect = ['potdetect', potDict]
else:
potdetect = ['potdetect', {'mess': '---skip pot detection---'}]
settings.append(potdetect)
plantextract = ['plantextract', {'mess': '---perfrom plant biometrics extraction---'}]
settings.append(plantextract)
with open(fname, 'w') as outfile:
outfile.write( yaml.dump(settings, default_flow_style=None) )
def rotateImage90Degrees(self):
if self.image == None:
self.status.append('No image to rotate.')
return
self.rotationAngle = self.rotationAngle + 90
if self.rotationAngle >= 360:
self.rotationAngle = self.rotationAngle - 360
self.image = np.rot90(self.image) #.astype(uint8)
self.status.append('Rot. angle = %d deg' %self.rotationAngle)
if self.plotImg == None:
self.plotImg = self.ax.imshow(self.image)
else:
self.plotImg.set_data(self.image)
self.canvas.draw()
def onMouseClicked(self, event):
if self.panMode or self.zoomMode:
return
print('click', event.button, event.xdata, event.ydata)
if event.button == 1 and event.xdata != None and event.ydata != None:
self.leftClicks.append([event.xdata, event.ydata])
print('self.leftClicks =', self.leftClicks)
Rect = []
AspectRatio = None
if self.trayRadioButton.isChecked():
AspectRatio = self.trayAspectRatio
elif self.colorcardRadioButton.isChecked():
AspectRatio = self.colorcardAspectRatio
elif self.potRadioButton.isChecked():
AspectRatio = self.potAspectRatio
if len(self.leftClicks) == 2 and AspectRatio != None:
if self.potRadioButton.isChecked():
Rect = utils.getRectCornersFrom2Points(self.image, self.leftClicks, AspectRatio, Rounded = True)
else:
Rect = utils.getRectCornersFrom2Points(self.image, self.leftClicks, AspectRatio)
self.leftClicks = []
elif len(self.leftClicks) == 4:
Rect = [[x,y] for x,y in self.leftClicks]
Rect = utils.correctPointOrder(Rect)
self.leftClicks = []
if len(Rect) > 0:
if self.trayRadioButton.isChecked():
self.trayList.append(Rect)
self.status.append('Added tray selection.')
elif self.colorcardRadioButton.isChecked():
self.colorcardList.append(Rect)
self.status.append('Added color card selection.')
else:
self.potList.append(Rect)
self.status.append('Added pot selection.')
self.updateFigure()
elif event.button == 3:
# remove the last selection
if len(self.leftClicks) > 0:
self.leftClicks = self.leftClicks[:-1]
self.status.append('Removed a previous click')
else:
if self.trayRadioButton.isChecked() and len(self.trayList) > 0:
self.trayList = self.trayList[:-1]
self.status.append('Removed a previous tray selection')
elif self.colorcardRadioButton.isChecked() and len(self.colorcardList) > 0:
self.colorcardList = self.colorcardList[:-1]
self.status.append('Removed a previous color card selection.')
elif self.potRadioButton.isChecked() and len(self.potList) > 0:
self.potList = self.potList[:-1]
self.status.append('Removed a previous pot selection')
self.updateFigure()
else:
print('Ignored click')
def onMouseMoves(self, event):
if event.inaxes == self.ax:
self.mousePosition.setText('x=%d, y=%d' %(event.xdata, event.ydata))
# self.crosshair = [event.xdata, event.ydata]
else:
self.mousePosition.setText('')
# self.crosshair = None
# self.updateFigure()
def keyPressEvent(self, e):
if e.key() == QtCore.Qt.Key_Escape:
self.close()
def closeEvent(self, event):
quit_msg = "Are you sure you want to exit the program?"
reply = QtGui.QMessageBox.question(self, 'Message',
quit_msg, QtGui.QMessageBox.Yes, QtGui.QMessageBox.No)
if reply == QtGui.QMessageBox.Yes:
event.accept()
else:
event.ignore()