def __init__(self, parent=None):
super(MainWindow, self).__init__(parent)
self.setupUi(self)
t = ParameterTree()
t.setParameters(p, showTop=False)
t.setHeaderLabels(['参数', '参数值'])
layout = QtGui.QGridLayout()
self.departmentInfo_parameter_tree.setLayout(layout)
layout.addWidget(t)
self.kpi_plotly = Kpi_Plotly()
#self.kpi_plotly.get_income_year_plolty_path()
self.widget_PeriodIncome.load(
QUrl.fromLocalFile(self.kpi_plotly.get_income_year_plolty_path()))
self.widgetf_MajorExpense.load(
QUrl.fromLocalFile(self.kpi_plotly.get_department_kpi_status()))
def __init__(self, parent=None):
"""
Constructor
@param parent reference to the parent widget
@type QWidget
"""
super(MainWindow, self).__init__(parent)
self.setupUi(self)
self.plotly_pyqt5 = Plotly_PyQt5()
#手动调整窗口控件的大小，使之看起来更美观
self.widget_parameter_tree.setMaximumWidth(300)
self.widget_parameter_tree.setMinimumWidth(200)
self.QWebEngineView_ProductVsHs300.setMinimumHeight(500)
self.tabWidget.setMinimumHeight(400)
#显示parametertree，这里通过布局管理器把ParametTree间接地嵌套到Widget窗口中
from mypyqtgraph import p
from pyqtgraph.parametertree import ParameterTree
t = ParameterTree()
t.setParameters(p, showTop=False)
t.setHeaderLabels(["参数", "数值"])
#t.setWindowTitle('pyqtgraph example:Parameter Tree')
layout = QtGui.QGridLayout()
self.widget_parameter_tree.setLayout(layout)
layout.addWidget(QtGui.QLabel("千石资本-和聚光明1号资产管理计划基本信息"), 0, 0, 1, 1)
layout.addWidget(t)
#显示绘图函数
self.QWebEngineView_ProductVsHs300.load(
QUrl.fromLocalFile(
self.plotly_pyqt5.get_plotly_path_product_vs_hs300()))
self.QWebEngineView_LagestBack.load(
QUrl.fromLocalFile(
self.plotly_pyqt5.get_plotly_path_lagest_back()))
self.QWebEngineView_WeekReturn.load(
QUrl.fromLocalFile(
self.plotly_pyqt5.get_plotly_path_period_return()))
self.QWebEngineView_MonthReturn.load(
QUrl.fromLocalFile(
self.plotly_pyqt5.get_plotly_path_month_return()))
def __init__(self, parent=None):
'''
Constructor
@param parent reference to the parent widget
@type QWidget
'''
super(MainWindow, self).__init__(parent)
self.setupUi(self)
self.plotly_pyqt5 = Plotly_PyQt5()
'''手動調整視窗控制項的大小，使其更加美觀'''
self.widget_parameter_tree.setMaximumWidth(300)
self.widget_parameter_tree.setMinimumWidth(200)
self.QWebEngineView_ProductVsHs300.setMinimumHeight(400) #500
self.tabWidget.setMinimumHeight(400)
'''顯示parametertree，這裡透過佈局管理器把ParameterTree間接地嵌套入Widget視窗'''
from mypyqtgraph import p
from pyqtgraph.parametertree import ParameterTree
t = ParameterTree()
t.setParameters(p, showTop=False)
t.setHeaderLabels(["參數", "數值"])
# t.setWindowTitle('pyqtgraph example: Parameter Tree')
layout = QtGui.QGridLayout()
self.widget_parameter_tree.setLayout(layout)
layout.addWidget(QtGui.QLabel("千石資本-和聚光明1號資產管理計畫基本資訊"), 0, 0, 1, 1)
layout.addWidget(t)
'''顯示繪圖函數'''
self.QWebEngineView_ProductVsHs300.load(
QUrl.fromLocalFile(
self.plotly_pyqt5.get_plotly_path_product_vs_hs300()))
self.QWebEngineView_LagestBack.load(
QUrl.fromLocalFile(
self.plotly_pyqt5.get_plotly_path_lagest_back()))
self.QWebEngineView_PeriodReturn.load(
QUrl.fromLocalFile(
self.plotly_pyqt5.get_plotly_path_period_return()))
self.QWebEngineview_MonthReturn.load(
QUrl.fromLocalFile(
self.plotly_pyqt5.get_plotly_path_month_return()))
def __init__(self, parent=None):
"""
Constructor
@param parent reference to the parent widget
@type QWidget
"""
super(MainWindow, self).__init__(parent)
self.setupUi(self)
self.plotly_pyqt5 = Plotly_PyQt5()
'''手动调整窗口部件的大小，使之看着更美观'''
self.widget_parameter_tree.setMaximumWidth(300)
self.widget_parameter_tree.setMinimumWidth(200)
self.QWebEngineView_ProductVsHs300.setMinimumHeight(500)
self.tabWidget.setMinimumHeight(400)
'''显示parametertree，这里通过布局管理器来把ParameterTree间接地嵌套进Widget窗口里面'''
from mypyqtgraph import p
from pyqtgraph.parametertree import ParameterTree
t = ParameterTree()
t.setParameters(p, showTop=False)
t.setHeaderLabels(["参数", "数值"])
# t.setWindowTitle('pyqtgraph example: Parameter Tree')
layout = QtGui.QGridLayout()
self.widget_parameter_tree.setLayout(layout)
layout.addWidget(
QtGui.QLabel("千石资本-和聚光明1号资产管理计划基本信息"), 0, 0, 1, 1)
layout.addWidget(t)
'''显示绘图函数'''
self.QWebEngineView_ProductVsHs300.load(
QUrl.fromLocalFile(self.plotly_pyqt5.get_plotly_path_product_vs_hs300()))
self.QWebEngineView_LagestBack.load(QUrl.fromLocalFile(self.plotly_pyqt5.get_plotly_path_lagest_back()))
self.QWebEngineView_PeriodReturn.load(QUrl.fromLocalFile(self.plotly_pyqt5.get_plotly_path_period_return()))
self.QWebEngineview_MonthReturn.load(QUrl.fromLocalFile(self.plotly_pyqt5.get_plotly_path_month_return()))
class MapView(QSplitter):
sigRoiPixels = Signal(object)
sigRoiState = Signal(object)
sigAutoMaskState = Signal(object)
sigSelectMaskState = Signal(object)
def __init__(self,
header: NonDBHeader = None,
stream: str = 'primary',
field: str = 'primary'):
"""
A widget to display imageCube like dataset with ROI buttons
:param header: Xi-cam datahandler header
:param field: header's field param
"""
super(MapView, self).__init__()
# layout set up
self.setOrientation(Qt.Vertical)
self.imageview = MapViewWidget()
self.spectra = SpectraPlotWidget()
self.spectraSplitter = QSplitter()
self.spectraSplitter.addWidget(self.spectra)
# self.spectraSplitter.insertWidget(1, BetterButtons()) # add a 2D spectrum window
# self.spectra.getViewBox().setXRange(0, 4000) # set xrange
self.imageview_and_toolbar = QSplitter()
self.imageview_and_toolbar.setOrientation(Qt.Horizontal)
self.toolbar_and_param = QSplitter()
self.toolbar_and_param.setOrientation(Qt.Vertical)
#define tool bar
self.toolBar = QWidget()
self.gridlayout = QGridLayout()
self.toolBar.setLayout(self.gridlayout)
#add tool bar buttons
self.roiBtn = QToolButton()
self.roiBtn.setText('Manual ROI')
self.roiBtn.setCheckable(True)
self.roiMeanBtn = QToolButton()
self.roiMeanBtn.setText('ROI Mean')
self.autoMaskBtn = QToolButton()
self.autoMaskBtn.setText('Auto ROI')
self.autoMaskBtn.setCheckable(True)
self.selectMaskBtn = QToolButton()
self.selectMaskBtn.setText('Mark Select')
self.selectMaskBtn.setCheckable(True)
self.saveRoiBtn = QToolButton()
self.saveRoiBtn.setText('Save ROI')
self.saveRoiBtn.setCheckable(False)
self.loadRoiBtn = QToolButton()
self.loadRoiBtn.setText('Load ROI')
self.loadRoiBtn.setCheckable(False)
self.gridlayout.addWidget(self.roiBtn, 0, 0, 1, 1)
self.gridlayout.addWidget(self.autoMaskBtn, 0, 1, 1, 1)
self.gridlayout.addWidget(self.selectMaskBtn, 1, 0, 1, 1)
self.gridlayout.addWidget(self.roiMeanBtn, 1, 1, 1, 1)
self.gridlayout.addWidget(self.saveRoiBtn, 2, 0, 1, 1)
self.gridlayout.addWidget(self.loadRoiBtn, 2, 1, 1, 1)
self.parameterTree = ParameterTree()
self.parameter = Parameter(name='Threshhold',
type='group',
children=[
{
'name': 'Amide II',
'value': 0,
'type': 'float'
},
{
'name': "ROI type",
'values': ['+', '-'],
'value': '+',
'type': 'list'
},
])
self.parameter.child('Amide II').setOpts(step=0.1)
self.parameterTree.setParameters(self.parameter, showTop=False)
self.parameterTree.setHeaderLabels(['Params', 'Value'])
self.parameterTree.setIndentation(0)
# Assemble widgets
self.toolbar_and_param.addWidget(self.toolBar)
self.toolbar_and_param.addWidget(self.parameterTree)
self.toolbar_and_param.setSizes([1000,
1]) #adjust initial splitter size
self.imageview_and_toolbar.addWidget(self.toolbar_and_param)
self.imageview_and_toolbar.addWidget(self.imageview)
self.imageview_and_toolbar.setSizes([1, 1000
]) #adjust initial splitter size
self.addWidget(self.imageview_and_toolbar)
self.addWidget(self.spectraSplitter)
self.setSizes([1000, 1000]) # adjust initial splitter size
# readin header
self.imageview.setHeader(header, field='image')
self.spectra.setHeader(header, field='spectra')
self.header = header
#setup ROI item
sideLen = 10
self.roi = pg.PolyLineROI(positions=[[0, 0], [sideLen, 0],
[sideLen, sideLen], [0, sideLen]],
closed=True)
self.imageview.view.addItem(self.roi)
self.roiInitState = self.roi.getState()
self.roi.hide()
#constants
self.path = os.path.expanduser('~/')
self.pixSelection = {
'ROI': None,
'Mask': None
} # init pixel selection dict
# Connect signals
self.imageview.sigShowSpectra.connect(self.spectra.showSpectra)
self.spectra.sigEnergyChanged.connect(self.imageview.setEnergy)
self.roiBtn.clicked.connect(self.roiBtnClicked)
self.roi.sigRegionChangeFinished.connect(self.roiSelectPixel)
self.roi.sigRegionChangeFinished.connect(self.showSelectMask)
self.sigRoiPixels.connect(self.spectra.getSelectedPixels)
self.roiMeanBtn.clicked.connect(self.spectra.showMeanSpectra)
self.autoMaskBtn.clicked.connect(self.showAutoMask)
self.selectMaskBtn.clicked.connect(self.showSelectMask)
self.saveRoiBtn.clicked.connect(self.saveRoi)
self.loadRoiBtn.clicked.connect(self.loadRoi)
self.parameter.child('Amide II').sigValueChanged.connect(
self.showAutoMask)
self.parameter.child('Amide II').sigValueChanged.connect(
self.intersectSelection)
self.parameter.child('ROI type').sigValueChanged.connect(
self.intersectSelection)
def roiBtnClicked(self):
self.roiSelectPixel()
if self.roiBtn.isChecked():
self.imageview.cross.hide()
self.roi.show()
self.sigRoiState.emit((True, self.roi.getState()))
else:
self.roi.hide()
self.roi.setState(self.roiInitState)
self.sigRoiState.emit((False, self.roi.getState()))
def saveRoi(self):
parameterDict = {
name: self.parameter[name]
for name in self.parameter.names.keys()
}
roiStates = {
'roiBtn': self.roiBtn.isChecked(),
'maskBtn': self.autoMaskBtn.isChecked(),
'roiState': self.roi.getState(),
'parameter': parameterDict
}
filePath, fileName, canceled = uiSaveFile('Save ROI state', self.path,
"Pickle Files (*.pkl)")
if not canceled:
with open(filePath + fileName, 'wb') as f:
pickle.dump(roiStates, f)
MsgBox(
f'ROI state file was saved! \nFile Location: {filePath + fileName}'
)
def loadRoi(self):
filePath, fileName, canceled = uiGetFile('Open ROI state file',
self.path,
"Pickle Files (*.pkl)")
if not canceled:
with open(filePath + fileName, 'rb') as f:
roiStates = pickle.load(f)
self.roiBtn.setChecked(roiStates['roiBtn'])
self.roi.setState(roiStates['roiState'])
if roiStates['roiBtn']:
self.roi.show()
self.autoMaskBtn.setChecked(roiStates['maskBtn'])
self.selectMaskBtn.setChecked(True)
self.showSelectMask(True)
for k, v in roiStates['parameter'].items():
self.parameter[k] = v
MsgBox(f'ROI states were loaded from: \n{filePath + fileName}')
else:
return
def roiMove(self, roi):
roiState = roi.getState()
self.roi.setState(roiState)
def getImgShape(self, imgShape, rc2ind):
self.row, self.col = imgShape[0], imgShape[1]
self.rc2ind = rc2ind
# determine whether spectra data is sparse
if len(rc2ind) == self.row * self.col:
self.isDenseImage = True
else:
self.isDenseImage = False
#set up X,Y grid
x = np.linspace(0, self.col - 1, self.col)
y = np.linspace(self.row - 1, 0, self.row)
self.X, self.Y = np.meshgrid(x, y)
if self.isDenseImage:
self.fullMap = list(zip(self.Y.ravel(), self.X.ravel()))
else:
self.fullMap = list(rc2ind.keys())
# setup automask item
self.autoMask = np.ones((self.row, self.col))
self.autoMaskItem = pg.ImageItem(self.autoMask,
axisOrder="row-major",
autoLevels=True,
opacity=0.3)
self.imageview.view.addItem(self.autoMaskItem)
self.autoMaskItem.hide()
# setup selctmask item to mark selected pixels
self.selectMask = np.ones((self.row, self.col))
self.selectMaskItem = pg.ImageItem(self.selectMask,
axisOrder="row-major",
autoLevels=True,
opacity=0.3,
lut=np.array([[0, 0, 0],
[255, 0, 0]]))
self.imageview.view.addItem(self.selectMaskItem)
self.selectMaskItem.hide()
def roiSelectPixel(self):
if self.roiBtn.isChecked():
#get x,y positions list
xPos = self.roi.getArrayRegion(self.X, self.imageview.imageItem)
xPos = np.round(xPos[xPos > 0])
yPos = self.roi.getArrayRegion(self.Y, self.imageview.imageItem)
yPos = np.round(yPos[yPos > 0])
# extract x,y coordinate from selected region
selectedPixels = list(zip(yPos, xPos))
self.intersectSelection('ROI', selectedPixels)
self.sigRoiState.emit((True, self.roi.getState()))
else:
self.intersectSelection('ROI', None) # no ROI, select all pixels
self.sigRoiState.emit((False, self.roi.getState()))
def showSelectMask(self, signalReceived):
if self.selectMaskBtn.isChecked():
# show roi and autoMask
if self.roiBtn.isChecked():
self.roi.show()
self.sigRoiState.emit((True, self.roi.getState()))
if self.autoMaskBtn.isChecked():
self.autoMaskItem.show()
self.sigAutoMaskState.emit((True, self.autoMask))
# update and show mask
self.selectMaskItem.setImage(self.selectMask)
self.selectMaskItem.show()
self.sigSelectMaskState.emit((True, self.selectMask))
else:
self.selectMaskItem.hide()
self.sigSelectMaskState.emit((False, self.selectMask))
if signalReceived == False:
self.roi.hide()
self.autoMaskItem.hide()
self.sigRoiState.emit((False, self.roi.getState()))
self.sigAutoMaskState.emit((False, self.autoMask))
def showAutoMask(self):
if self.autoMaskBtn.isChecked():
# update and show mask
self.autoMask = self.imageview.makeMask(
[self.parameter['Amide II']])
self.autoMaskItem.setImage(self.autoMask)
self.autoMaskItem.show()
# select pixels
mask = self.autoMask.astype(np.bool)
selectedPixels = list(zip(self.Y[mask], self.X[mask]))
self.intersectSelection('Mask', selectedPixels)
self.sigAutoMaskState.emit((True, self.autoMask))
else:
self.autoMaskItem.hide()
self.autoMask[:, :] = 1
self.intersectSelection('Mask', None) # no mask, select all pixels
self.sigAutoMaskState.emit((False, self.autoMask))
def intersectSelection(self, selector, selectedPixels):
# update pixel selection dict
if (selector == 'ROI') or (selector == 'Mask'):
self.pixSelection[selector] = selectedPixels
# reverse ROI selection
if (self.parameter['ROI type'] == '-') and (self.pixSelection['ROI']
is not None):
roi_copy = self.pixSelection['ROI']
reverseROI = set(self.fullMap) - set(self.pixSelection['ROI'])
self.pixSelection['ROI'] = list(reverseROI)
if (self.pixSelection['ROI'] is None) and (self.pixSelection['Mask'] is
None):
if self.isDenseImage:
self.sigRoiPixels.emit(None) # no ROI, select all pixels
self.selectMask = np.ones((self.row, self.col))
else:
allSelected = np.array(list(self.rc2ind.keys()), dtype='int')
self.sigRoiPixels.emit(
allSelected) # no ROI, select all sparse rc2ind
self.selectMask = np.zeros((self.row, self.col))
self.selectMask[allSelected[:, 0], allSelected[:, 1]] = 1
self.selectMask = np.flipud(self.selectMask)
return
elif self.pixSelection['ROI'] is None:
allSelected = set(
self.pixSelection['Mask']) #de-duplication of pixels
elif self.pixSelection['Mask'] is None:
allSelected = set(
self.pixSelection['ROI']) #de-duplication of pixels
else:
allSelected = set(self.pixSelection['ROI']) & set(
self.pixSelection['Mask'])
if self.isDenseImage:
allSelected = np.array(list(allSelected),
dtype='int') # convert to array
else:
allSelected &= set(self.rc2ind.keys())
allSelected = np.array(list(allSelected), dtype='int')
self.selectMask = np.zeros((self.row, self.col))
if len(allSelected) > 0:
self.selectMask[allSelected[:, 0], allSelected[:, 1]] = 1
self.selectMask = np.flipud(self.selectMask)
self.sigRoiPixels.emit(allSelected)
# show SelectMask
self.showSelectMask(selector)
#recover ROI selection
if (self.parameter['ROI type'] == '-') and (self.pixSelection['ROI']
is not None):
self.pixSelection['ROI'] = roi_copy