Python FigureCanvasQTAgg.setFocus方法代码示例

# 需要导入模块: from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg [as 别名]
# 或者: from matplotlib.backends.backend_qt5agg.FigureCanvasQTAgg import setFocus [as 别名]
    def __init__(self, parent=None, width=6, height=4, dpi=110):
        """
        Init canvas.
        """

        self.fig = Figure(figsize=(width, height), dpi=dpi)

        # Here one can adjust the position of the CTX plot area.
        # self.axes = self.fig.add_subplot(111)
        self.axes = self.fig.add_axes([0.1, 0.1, 0.85, 0.85])
        self.axes.grid(True)
        self.axes.set_xlabel("(no data)")
        self.axes.set_ylabel("(no data)")

        FigureCanvas.__init__(self, self.fig)

        layout = QVBoxLayout(parent)
        layout.addWidget(self)
        parent.setLayout(layout)

        FigureCanvas.setSizePolicy(self,
                                   QSizePolicy.Expanding,
                                   QSizePolicy.Expanding)
        FigureCanvas.updateGeometry(self)

        # next too lines are needed in order to catch keypress events in plot canvas by mpl_connect()
        FigureCanvas.setFocusPolicy(self, QtCore.Qt.ClickFocus)
        FigureCanvas.setFocus(self)

# 需要导入模块: from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg [as 别名]
# 或者: from matplotlib.backends.backend_qt5agg.FigureCanvasQTAgg import setFocus [as 别名]
class QFigureWidget(QtWidgets.QWidget):
    """Widget to layout the actual figure and toolbar. Further it forwards.
    the key press events from the widget to the figure."""

    def __init__(self, fig, *args, **kw):
        super(QFigureWidget, self).__init__(*args, **kw)
        self.fig = fig

        self.canvas = FigureCanvasQTAgg(self.fig)
        self.canvas.setParent(self)
        self.canvas.setFocusPolicy(QtCore.Qt.StrongFocus)
        self.canvas.setFocus()

        color = fig.get_facecolor()
        self.toolbar = QNavigationToolbar(self.canvas, self)

        self.toolbar.setStyleSheet("QNavigationToolbar { background-color: %s }"
                                   %rgb2hex(color))
        self.toolbar.setIconSize(QtCore.QSize(16, 16))
        self.canvas.mpl_connect('key_press_event', self.on_key_press)

        vbox = QtWidgets.QVBoxLayout(self)
        vbox.addWidget(self.canvas)
        vbox.addWidget(self.toolbar)
        vbox.setContentsMargins(0, 0, 0, 0)
        vbox.setSpacing(0)

    def hideToolbar(self):
        self.toolbar.hide()

    def showToolbar(self):
        self.toolbar.show()

    def close(self):
        super(QFigureWidget, self).close()

    def on_key_press(self, event):
        # sometimes mpl has a weird ideas what oo-programing is.
        # any could overwrite method by my self

        # no fullscreen unless self is a window!
        if event.key == "t":
            self.toolbar.toggle()
        elif event.key not in rcParams["keymap.fullscreen"]:
            key_press_handler(event, self.canvas, self.toolbar)

# 需要导入模块: from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg [as 别名]
# 或者: from matplotlib.backends.backend_qt5agg.FigureCanvasQTAgg import setFocus [as 别名]
class FitMainGui(QtWidgets.QMainWindow):
    # define main GUI window of the simulator
    def __init__(self, parent=None):       # initialize GUI
        super().__init__()

        # initialize fit parameter & fit status instance
        self.fit_par = FitParameter(1)
        self.fit_stat = FitStatus()
        # initialize input validity tracker
        self.fit_stat.input_valid = True
        # get log directory (local directory of the script)
        self.log_dir = os.getcwd()
        # get file directory (read last directory from .cfg file)
        self.current_dir = self.get_file_dir()

        # add aborted and successful file list
        self.list_aborted_file = []
        self.list_success_file = []

        # add menubar
        openAction = QtWidgets.QAction('Open', self)
        openAction.setShortcut('Ctrl+O')
        openAction.setStatusTip('Open Spectra')
        openAction.triggered.connect(self.open_file)
        self.menu = self.menuBar()
        self.menu.setNativeMenuBar(False)
        self.menu.addAction(openAction)

        # add status bar
        self.statusbar = self.statusBar()

        # set GUI layout
        self.set_main_grid()
        self.widget_main = QtWidgets.QWidget()
        self.widget_main.setLayout(self.layout_main)
        self.setCentralWidget(self.widget_main)

        # set program title
        self.setWindowTitle('Fit Spectra!')

        # show program window
        self.show()

    def set_main_grid(self):
        self.layout_main = QtWidgets.QGridLayout()
        self.layout_main.setSpacing(6)

        # add current_file label
        self.label_current_file = QtWidgets.QLabel()
        self.layout_main.addWidget(QtWidgets.QLabel('Current File:'), 0, 0)
        self.layout_main.addWidget(self.label_current_file, 0, 1, 1, 2)

        # add matplotlib canvas
        self.fig = plt.figure()
        self.canvas = FigureCanvas(self.fig)
        self.canvas.setFocus()
        self.mpl_toolbar = NavigationToolbar(self.canvas, self)
        self.click_counter = 0      # initialize click counter
        # connect the canvas to matplotlib standard key press events
        self.canvas.mpl_connect('key_press_event', self.mpl_key_press)
        # connect the canvas to mouse click events
        self.canvas.mpl_connect('button_press_event', self.mpl_click)
        self.layout_main.addWidget(self.mpl_toolbar, 1, 0, 1, 3)
        self.layout_main.addWidget(self.canvas, 2, 0, 1, 3)

        # add fit option layout
        self.layout_setting = QtWidgets.QGridLayout()
        # select lineshape
        self.combo_ftype = QtWidgets.QComboBox()
        self.combo_ftype.addItems(['Gaussian', 'Lorentzian'])
        # select number of derivatives
        self.combo_der = QtWidgets.QComboBox()
        self.combo_der.addItems(['0', '1', '2', '3', '4'])
        self.check_boxcar = QtWidgets.QCheckBox('Boxcar Smooth?')
        self.check_rescale = QtWidgets.QCheckBox('Rescale Intensity?')
        self.edit_boxcar = QtWidgets.QLineEdit('1')
        self.edit_rescale = QtWidgets.QLineEdit('1')
        self.edit_deg = QtWidgets.QLineEdit('0')
        self.edit_num_peak = QtWidgets.QLineEdit('1')
        self.layout_setting.addWidget(QtWidgets.QLabel('Lineshape Function'), 0, 0)
        self.layout_setting.addWidget(self.combo_ftype, 1, 0)
        self.layout_setting.addWidget(QtWidgets.QLabel('Derivative'), 0, 1)
        self.layout_setting.addWidget(self.combo_der, 1, 1)
        self.layout_setting.addWidget(self.check_boxcar, 2, 0)
        self.layout_setting.addWidget(self.edit_boxcar, 2, 1)
        self.layout_setting.addWidget(self.check_rescale, 3, 0)
        self.layout_setting.addWidget(self.edit_rescale, 3, 1)
        self.layout_setting.addWidget(QtWidgets.QLabel('PolyBaseline Degree'), 4, 0)
        self.layout_setting.addWidget(self.edit_deg, 4, 1)
        self.layout_setting.addWidget(QtWidgets.QLabel('Number of Peaks'), 5, 0)
        self.layout_setting.addWidget(self.edit_num_peak, 5, 1)
        self.layout_setting.addWidget(QtWidgets.QLabel('<<< Initial Guess >>>'), 6, 0, 2, 2)
        # connect signals
        # select combo box items
        self.combo_ftype.currentIndexChanged.connect(self.get_ftype)
        self.combo_der.currentIndexChanged.connect(self.get_der)
        # display/hide checked edit box
        self.edit_boxcar.hide()
        self.edit_rescale.hide()
        self.check_boxcar.stateChanged.connect(self.show_boxcar)
#.........这里部分代码省略.........

# 需要导入模块: from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg [as 别名]
# 或者: from matplotlib.backends.backend_qt5agg.FigureCanvasQTAgg import setFocus [as 别名]

#.........这里部分代码省略.........
            except:
                self.molformulaLabel = QLabel("<b>Mol. Formula:</b> Unknown")
                self.molwtLabel = QLabel("<b>Mol. Weight:</b> Unknown")
                self.structure.setText("No Structure Available")
                self.structure.setAlignment(Qt.AlignCenter)

        else:
            self.smilesLabel = QLabel("<b>SMILES:</b> Unknown")
            self.molformulaLabel = QLabel("<b>Mol. Formula:</b> Unknown")
            self.molwtLabel = QLabel("<b>Mol. Weight:</b> Unknown")
            self.structure.setText("No Structure Available")
            self.structure.setAlignment(Qt.AlignCenter)

        self.editinfoButton = QPushButton('Edit Compound Info')
        self.editinfoButton.setToolTip("Opens a window to edit compound information") # TODO: Set tooltip
        self.restoreinfoButton = QPushButton('Restore Compound Info')
        self.restoreinfoButton.setToolTip("Resets compound information to original imported values") # TODO: Set tooltip
        self.savestructureButton = QPushButton('Save Structure Image')
        self.savestructureButton.setToolTip("Tooltip") # TODO: Set tooltip


    def initSpectrum(self):
        # Compound Spectrum Tab
        matplotlib.projections.register_projection(My_Axes)
        self.scale = 1.05
        self.show_ignored = True
        self.show_ignored_peaks = True
        self.compoundtab2 = QWidget()
        self.compoundtab2.setStyleSheet("QWidget{background-color: white;}")
        self.fig = plt.gcf()
        self.fig.patch.set_facecolor('white')
        self.canvas = FigureCanvas(self.fig)
        self.canvas.setParent(self)
        self.canvas.setFocusPolicy(Qt.StrongFocus)
        self.canvas.setFocus()
        self.canvas.setMinimumHeight(100)
        self.canvas.setMinimumWidth(100)
        self.mpl_toolbar = NavigationToolbar2(self.canvas, self)
        self.mpl_toolbar.hide()
        self.mpl_toolbar.pan()
        self.canvas.mpl_connect('scroll_event', self.zooming)
        ins = "Left-click+drag to pan x-axis / Right-click+drag to zoom x-axis / Scroll-wheel to change intensity scale"
        self.instructionLabel = QLabel(ins)
        self.instructionLabel.setStyleSheet('QLabel{qproperty-alignment: AlignCenter; font-size: 10px;}')
        self.showignoredregionsCheckBox = QCheckBox("Show Ignored Regions")
        self.showignoredregionsCheckBox.setToolTip("Shows the ranges set by the solvent/buffer ignore regions, if any.")
        self.showignoredregionsCheckBox.setLayoutDirection(Qt.RightToLeft)
        self.showignoredregionsCheckBox.setChecked(True)
        self.showignoredpeaksCheckBox = QCheckBox("Show Ignored Peaks")
        self.showignoredpeaksCheckBox.setToolTip("Shows any compound peaks that are in the solvent/buffer ignore regions, if any.\n"
                                                 "These peaks are ignored and are not evaluated during mixing.")
        self.showignoredpeaksCheckBox.setLayoutDirection(Qt.RightToLeft)
        self.showignoredpeaksCheckBox.setChecked(True)
        self.resetviewButton = QPushButton("Reset View")
        self.resetviewButton.setToolTip("Resets the spectrum to the default view.")
        self.savespectrumButton = QPushButton("Save Spectrum")
        self.savespectrumButton.setToolTip("Saves the image in the spectrum window.")

    def initPeaklistTable(self):
        # Compound Peaklist Tab
        self.compoundtab3 = QWidget()
        self.compoundtab3.setStyleSheet("QWidget{background-color: white;}")
        self.peakTable = QTableWidget(0, 4, self)
        # self.peakTable.setMinimumWidth(400)
        self.peakTable.setSelectionMode(QAbstractItemView.NoSelection)
        self.peakTable.setSelectionBehavior(QAbstractItemView.SelectRows)

# 需要导入模块: from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg [as 别名]
# 或者: from matplotlib.backends.backend_qt5agg.FigureCanvasQTAgg import setFocus [as 别名]

#.........这里部分代码省略.........
                kwargs["func_y"] = None
                kwargs["column_y"] = utf8(self.combo_y_function.currentText())
        if self.visualizer.numerical_axes == 1:
            try:
                kwargs["func_x"] = self._function_list[self.combo_x_function.currentIndex()]
                kwargs["column_x"] = None
            except IndexError:
                kwargs["func_x"] = None
                kwargs["column_x"] = utf8(self.combo_x_function.currentText())

        self.visualizer.setup_figure()

        self.remove_matplot()
        self.add_matplot()

        self.visualizer.draw(**kwargs)

        self.visualizer.g.fig.tight_layout()
        self.visualizer.adjust_axes()
        self.visualizer.adjust_fonts()
        if self.smooth:
            self.spinner.setEnabled(True)
        self.visualizer.g.fig.tight_layout()

        if hasattr(self.toolbar, "margin_dialog"):
            self.toolbar.configure_subplots()

    def add_matplot(self):
        """ Add a matplotlib canvas and a navigation bar to the dialog. """
        if not self.canvas:
            self.canvas = FigureCanvas(self.visualizer.g.fig)
            self.ui.verticalLayout.addWidget(self.canvas)
            self.canvas.setParent(self.ui.box_visualize)
            self.canvas.setFocusPolicy(QtCore.Qt.ClickFocus)
            self.canvas.setFocus()

        if not self.toolbar:
            self.toolbar = CoqNavigationToolbar(self.canvas, self, True)
            if (self.visualizer.numerical_axes == 2 and
                self.visualizer.function_list):
                self.toolbar.addWidget(self.label_y_function)
                self.toolbar.addWidget(self.combo_y_function)
            if (self.visualizer.numerical_axes == 1 and
                self.visualizer.function_list):
                self.toolbar.addWidget(self.label_x_function)
                self.toolbar.addWidget(self.combo_x_function)
            if options.cfg.experimental:
                self.toolbar.check_freeze.stateChanged.connect(self.toggle_freeze)
            if self.smooth:
                self.toolbar.addWidget(self.spinner_label)
                self.toolbar.addWidget(self.spinner)
            self.ui.navigation_layout.addWidget(self.toolbar)
        else:
            self.toolbar.canvas = self.canvas
        self.canvas.mpl_connect('key_press_event', self.keyPressEvent)
        self.canvas.mpl_connect('button_press_event', self.onclick)

    def onclick(self, event):
        """
        Pass any click event onward to the visualizer, unless the dialog is
        in panning or zooming mode.
        """
        if not self.toolbar.isPanning() and not self.toolbar.isZooming():
            self.visualizer.onclick(event)

    def remove_matplot(self):

# 需要导入模块: from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg [as 别名]
# 或者: from matplotlib.backends.backend_qt5agg.FigureCanvasQTAgg import setFocus [as 别名]
class Window(QDialog):
    def __init__(self, params_object, library_object, group, parent=None):
        QDialog.__init__(self, parent)
        self.params = params_object
        self.library = library_object
        self.group = group
        matplotlib.projections.register_projection(My_Axes)
        self.region_colors = {0:'gray', 1:'red', 2:'green', 3:'orange', 4:'teal', 5:'pink',
                              6:'cyan', 7:'magenta', 8:'gold'}
        if self.group == 'ALL':
            self.plural_group = "s"
        else:
            self.plural_group = ""
        self.setWindowTitle("NMRmix: Peaks Histogram for %s Group%s" % (self.group, self.plural_group))
        self.scale = 1.05
        self.setAttribute(Qt.WA_DeleteOnClose, True)
        self.createMainFrame()

    def createMainFrame(self):
        self.fig = plt.gcf()
        self.fig.patch.set_facecolor('white')
        self.canvas = FigureCanvas(self.fig)
        self.canvas.setParent(self)
        self.canvas.setFocusPolicy(Qt.StrongFocus)
        self.canvas.setFocus()
        self.canvas.setMinimumHeight(100)
        self.canvas.setMinimumWidth(100)

        self.mpl_toolbar = NavigationToolbar2(self.canvas, self)
        self.mpl_toolbar.hide()
        self.mpl_toolbar.pan()
        self.canvas.mpl_connect('scroll_event', self.zooming)
        ins = "Left-click+drag to pan x-axis / Right-click+drag to zoom x-axis"
        self.instructionLabel = QLabel(ins)
        self.instructionLabel.setStyleSheet('QLabel{qproperty-alignment: AlignCenter; font-size: 12px;}')

        self.showignoredregionsCheckBox = QCheckBox("Show Ignored Regions")
        self.showignoredregionsCheckBox.setChecked(True)
        self.showignoredregionsCheckBox.setToolTip("Tooltip") # TODO: Tooltip
        self.showignoredregionsCheckBox.stateChanged.connect(self.handleIgnored)
        self.closeButton = QPushButton("Close")
        self.closeButton.setStyleSheet("QPushButton{color: red; font-weight: bold;}")
        self.closeButton.clicked.connect(self.closeEvent)
        self.saveButton = QPushButton("Save")
        self.saveButton.setStyleSheet("QPushButton{color: green; font-weight: bold;}")
        self.saveButton.clicked.connect(self.saveResults)
        self.resetButton = QPushButton("Reset")
        self.resetButton.setStyleSheet("QPushButton{color: blue; font-weight: bold;}")
        self.resetButton.clicked.connect(self.resetGraph)
        self.calculateAllHistogram()
        self.calculateIntenseHistogram()
        self.drawIgnoredRegions()
        winLayout = QVBoxLayout(self)
        winLayout.addWidget(self.canvas)
        winLayout.addWidget(self.instructionLabel)
        winLayout.addWidget(self.showignoredregionsCheckBox)
        buttonLayout = QHBoxLayout()
        buttonLayout.addWidget(self.closeButton)
        buttonLayout.addWidget(self.resetButton)
        buttonLayout.addWidget(self.saveButton)
        winLayout.addLayout(buttonLayout)
        winLayout.setAlignment(self.showignoredregionsCheckBox, Qt.AlignCenter)
        self.fig.tight_layout(pad=3)
        self.canvas.draw()

    def calculateAllHistogram(self):
        self.ax1 = self.fig.add_subplot(211, projection="My_Axes")
        self.ax1.set_title("Peaks Histogram for %s Group%s" % (self.group, self.plural_group), fontweight='bold')
        self.ax1.set_xlabel("Chemical Shift (ppm)", fontweight='bold')
        self.ax1.set_ylabel("Number of Peaks", fontweight='bold')
        data = list(self.library.stats[self.group]['Peaklist'])
        y, binEdges = np.histogram(data, bins=np.arange(-1, 12, 0.02))
        bincenters = 0.5 * (binEdges[1:] + binEdges[:-1])
        self.ax1.set_xlim(self.params.shift_range[self.params.nuclei])
        self.upper_ylim_all = max(y)+(math.ceil(max(y)*0.05))
        self.ax1.set_ylim([0, self.upper_ylim_all])
        self.ax1.plot(bincenters, y, '-', color='blue')

    def calculateIntenseHistogram(self):
        self.ax2 = self.fig.add_subplot(212, sharex=self.ax1, projection="My_Axes")
        self.ax2.set_title("Intense Peaks Histogram for %s Group%s" % (self.group, self.plural_group),
                           fontweight='bold')
        self.ax2.set_xlabel("Chemical Shift (ppm)", fontweight='bold')
        self.ax2.set_ylabel("Number of Peaks", fontweight='bold')
        data = list(self.library.stats[self.group]['Intense Peaklist'])
        y, binEdges = np.histogram(data, bins=np.arange(-1, 12, 0.02))
        bincenters = 0.5 * (binEdges[1:] + binEdges[:-1])
        self.ax2.set_xlim([12, -1])
        self.upper_ylim_intense = max(y)+(math.ceil(max(y)*0.05))
        self.ax2.set_ylim([0, self.upper_ylim_intense])
        self.ax2.plot(bincenters, y, '-', color='purple')

    def resetGraph(self):
        self.mpl_toolbar.home()

    def drawIgnoredRegions(self):
        groups = ['ALL']
        if self.group != 'ALL':
            groups.append(self.group)
        for region in self.library.ignored_regions:
#.........这里部分代码省略.........

# 需要导入模块: from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg [as 别名]
# 或者: from matplotlib.backends.backend_qt5agg.FigureCanvasQTAgg import setFocus [as 别名]
class MplGraphQt5Widget(QWidget):
    def __init__(self, parent=None):
        super(MplGraphQt5Widget, self).__init__(parent)

        self.width = 3
        self.height = 3
        self.dpi = 100

        self._dataY = np.array([])
        self._dataX = np.array([])

        self._spCols = 1
        self._spRows = 1
        self.all_sp_axes = []
        self.fig = Figure(figsize=(self.width, self.height), dpi=self.dpi)
        self.all_sp_axes.append(self.fig.add_subplot(self._spCols, self._spRows, 1))
        self.fig.set_frameon(False)
        self.fig.set_tight_layout(True)

        self.canvas = Canvas(self.fig)

        self._navBarOn = False
        self.mpl_toolbar = NavigationToolbar(self.canvas, parent)
        self.mpl_toolbar.dynamic_update()

        self.canvas.mpl_connect('key_press_event', self.on_key_press)
        self.canvas.mpl_connect('button_press_event', self.on_button_press)
        self.canvas.mpl_connect('motion_notify_event', self.on_mouse_move)
        self.canvas.setFocusPolicy(Qt.ClickFocus)
        self.canvas.setFocus()

        self.canvas.setParent(parent)
        self.canvas.clearMask()
        self.canvas.setSizePolicy(QSizePolicy.Expanding, QSizePolicy.Expanding)
        self.canvas.updateGeometry()

        vbox = QVBoxLayout()
        vbox.addWidget(self.canvas)
        vbox.addWidget(self.mpl_toolbar)
        if not self._navBarOn:
            self.mpl_toolbar.hide()
        self.setLayout(vbox)



    def get_icon(name):
        """Return Matplotlib icon *name*"""
        return QIcon(osp.join(rcParams['datapath'], 'images', name))


    key_pressed = pyqtSignal(object, name='keyPressed')

    def on_key_press(self, event):
        self.key_pressed.emit(event)
        key_press_handler(event, self.canvas, self.mpl_toolbar)

    button_pressed = pyqtSignal(object, name='buttonPressed')

    def on_button_press(self, event):
        self.button_pressed.emit(event)
        key_press_handler(event, self.canvas, self.mpl_toolbar)

    mouse_move = pyqtSignal(object, name='mouseMoved')

    def on_mouse_move(self, event):
        self.mouse_move.emit(event)
        key_press_handler(event, self.canvas, self.mpl_toolbar)


    def generateNewAxes(self):
        for ax in self.all_sp_axes:
            self.fig.delaxes(ax)
        self.all_sp_axes = []
        numOfAxes = (self._spRows*self._spCols)+1
        for i in np.arange(1,numOfAxes):
            self.all_sp_axes.append(self.fig.add_subplot(self._spRows, self._spCols, i))
        self.canvas.setGeometry(100, 100, 300, 300)  #Used to update the new number of axes
        self.canvas.updateGeometry()  #This will bring the size of the canvas back to the original (defined by the vbox)

    spRowsChanged = pyqtSignal(int)

    def getspRows(self):
        return self._spRows

    @pyqtSlot(int)
    def setspRows(self, spRows):
        self._spRows = spRows
        self.generateNewAxes()
        self.spRowsChanged.emit(spRows)

    def resetspRows(self):
        self.setspRows(1)

    spRows = pyqtProperty(int, getspRows, setspRows, resetspRows)

    spColsChanged = pyqtSignal(int)

    def getspCols(self):
        return self._spCols

#.........这里部分代码省略.........

# 需要导入模块: from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg [as 别名]
# 或者: from matplotlib.backends.backend_qt5agg.FigureCanvasQTAgg import setFocus [as 别名]
class MplWidget(QtWidgets.QWidget):
    def __init__(self, parent=None):
        QtWidgets.QWidget.__init__(self, parent)

        self.fig = Figure()
        self.canvas = FigureCanvas(self.fig)
        self.canvas.setFocusPolicy(QtCore.Qt.ClickFocus)
        self.canvas.setFocus()
        self.canvas.setParent(self)
        self.canvas.mpl_connect('scroll_event', self.onWheel)
        self.canvas.mpl_connect('button_press_event', self.start_pan)
        self.canvas.mpl_connect('button_release_event', self.pan)
        self.canvas.mpl_connect('motion_notify_event', self.pan_motion)

        self.axes = self.fig.add_subplot(111)
        self.fig.tight_layout()

        self.dragx = None
        self.dragy = None
        # self.mpl_toolbar = NavigationToolbar(self.canvas, self)

        vbox = QtWidgets.QVBoxLayout()
        vbox.addWidget(self.canvas)
        # vbox.addWidget(self.mpl_toolbar)
        self.setLayout(vbox)

    def start_pan(self, event):
        if event.button == 3:
            self.dragx, self.dragy = event.xdata, event.ydata

    def do_pan(self, xdata, ydata):
        diffx, diffy = self.dragx - xdata, self.dragy - ydata
        x1, x2 = self.axes.get_xlim()
        y1, y2 = self.axes.get_ylim()
        self.axes.set_xlim(x1 + diffx, x2 + diffx)
        self.axes.set_ylim(y1 + diffy, y2 + diffy)
        self.canvas.draw_idle()

    def stop_pan(self):
        self.dragx, self.dragy = None, None

    def pan(self, event):
        if event.button == 3:
            if event.inaxes is not None and \
                        self.dragx is not None and self.dragy is not None and \
                        event.xdata is not None and event.ydata is not None:
                self.do_pan(event.xdata, event.ydata)
            self.stop_pan()

    def pan_motion(self, event):
        if event.inaxes is not None and \
                        self.dragx is not None and self.dragy is not None and \
                        event.xdata is not None and event.ydata is not None:
            self.do_pan(event.xdata, event.ydata)

    def _rescale(self, lo, hi, step, pt=None, bal=None, scale='linear'):
        """
        Rescale (lo,hi) by step, returning the new (lo,hi)
        The scaling is centered on pt, with positive values of step
        driving lo/hi away from pt and negative values pulling them in.
        If bal is given instead of point, it is already in [0,1] coordinates.

        This is a helper function for step-based zooming.
        """
        # Convert values into the correct scale for a linear transformation
        # TODO: use proper scale transformers
        if scale == 'log':
            lo, hi = math.log10(lo), math.log10(hi)
            if pt is not None: pt = math.log10(pt)

        # Compute delta from axis range * %, or 1-% if percent is negative
        if step > 0:
            delta = float(hi - lo) * step / 100
        else:
            delta = float(hi - lo) * step / (100 - step)

        # Add scale factor proportionally to the lo and hi values, preserving the
        # point under the mouse
        if bal is None:
            bal = float(pt - lo) / (hi - lo)
        lo -= bal * delta
        hi += (1 - bal) * delta

        # Convert transformed values back to the original scale
        if scale == 'log':
            lo, hi = math.pow(10., lo), math.pow(10., hi)

        return (lo, hi)

    def onWheel(self, event):
        """
        Process mouse wheel as zoom events
        """
        ax = event.inaxes

        # Older versions of matplotlib do not have event.step defined
        try:
            step = 20.0 * event.step
        except:
            if event.button == 'up':
#.........这里部分代码省略.........

# 需要导入模块: from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg [as 别名]
# 或者: from matplotlib.backends.backend_qt5agg.FigureCanvasQTAgg import setFocus [as 别名]

#.........这里部分代码省略.........

        self.ToDateTime.setDateTime(datestring_to_date('2099-12-31 23:59:59'))
        self.Add2Levelmasl.setText('')
        self.bestFitSearchRadius.setText('10 minutes')
        #self.mpltoolbar.home()

        last_calibration = self.getlastcalibration(self.obsid)
        try:
            if last_calibration[0][1] and last_calibration[0][0]:
                self.LoggerPos.setText(str(last_calibration[0][1]))
                self.FromDateTime.setDateTime(datestring_to_date(last_calibration[0][0]))
            else:
                self.LoggerPos.setText('')
                self.FromDateTime.setDateTime(datestring_to_date('2099-12-31 23:59:59'))
        except Exception as e:
            utils.MessagebarAndLog.info(log_msg=ru(QCoreApplication.translate('Calibrlogger', 'Getting last calibration failed for obsid %s, msg: %s'))%(self.obsid, str(e)))
            self.LoggerPos.setText('')
            self.FromDateTime.setDateTime(datestring_to_date('2099-12-31 23:59:59'))

    @fn_timer
    def reset_cid(self):
        """ Resets self.cid to an empty list and disconnects unused events """
        for x in self.cid:
            self.canvas.mpl_disconnect(x)
        self.cid = []

    @fn_timer
    def catch_old_level(self):
        """Part of adjustment method 3. adjust level_masl by clicking in plot.
        this part selects a line node and a y-position on the plot"""
        #Run init to make sure self.meas_ts and self.head_ts is updated for the current obsid.           
        self.load_obsid_and_init()
        self.deactivate_pan_zoom()
        self.canvas.setFocusPolicy(Qt.ClickFocus)
        self.canvas.setFocus()

        self.calib_help.setText(ru(QCoreApplication.translate('Calibrlogger', "Select a logger node.")))
        self.cid.append(self.canvas.mpl_connect('pick_event', self.set_log_pos_from_node_date_click))
            
    @fn_timer
    def catch_new_level(self):
        """ Part of adjustment method 3. adjust level_masl by clicking in plot.
        this part selects a y-position from the plot (normally user would select a manual measurement)."""
        if self.log_pos is not None:
            self.calib_help.setText(ru(QCoreApplication.translate('Calibrlogger', "Select a y position to move to.")))
            self.cid.append(self.canvas.mpl_connect('button_press_event', self.set_y_pos_from_y_click))
            self.calib_help.setText("")
        else:
            self.calib_help.setText(ru(QCoreApplication.translate('Calibrlogger', "Something wrong, click \"Current\" and try again.")))

    @fn_timer
    def calculate_offset(self):
        """ Part of adjustment method 3. adjust level_masl by clicking in plot.
        this method extracts the head from head_ts with the same date as the line node.
            4. Calculating y-position - head (or level_masl) and setting self.LoggerPos.
            5. Run calibration.
        """            
        if self.log_pos is not None and self.y_pos is not None:
            utils.start_waiting_cursor()

            logger_ts = self.level_masl_ts
            
            y_pos = self.y_pos
            log_pos = self.log_pos
            self.y_pos = None
            self.log_pos = None

# 需要导入模块: from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg [as 别名]
# 或者: from matplotlib.backends.backend_qt5agg.FigureCanvasQTAgg import setFocus [as 别名]
class VelPlotWidget(QWidget):
    """ Widget for a velocity plot with interaction.
    Akin to XIDL/x_velplot

        19-Dec-2014 by JXP
    """
    def __init__(self, ispec, z, abs_lines=None, parent=None, llist=None, norm=True,
                 vmnx=[-300., 300.]*u.km/u.s):
        '''
        spec : XSpectrum1D
        z : float
        abs_lines: list, optional
          List of AbsLines
        llist : LineList, optional
          Input line list.  Defaults to 'Strong'
        norm : bool, optional
          Normalized spectrum?
        vmnx : Quantity array, optional
          Starting velocity range for the widget
        '''
        super(VelPlotWidget, self).__init__(parent)
        self.help_message = """
Click on any white region within the velocity plots
for the following keystroke commands to work:

i,o       : zoom in/out x limits
I,O       : zoom in/out x limits (larger re-scale)
y         : zoom out y limits
t,b       : set y top/bottom limit
l,r       : set left/right x limit
[,]       : pan left/right
C,c       : add/remove column
K,k       : add/remove row
=,-       : move to next/previous page
1,2       : Modify velocity region of the single line (left, right sides)
!,@       : Modify velocity region of all lines (left, right)
A,x       : Add/remove select line from analysis list
X         : Remove all lines from analysis list
^,&       : Flag line to be analyzed for low/high-ion kinematics
B         : Toggle as blend/no-blend  (orange color = blend)
N         : Toggle as do/do-not include for analysis  (red color = exclude)
V         : Indicate as a normal value
L         : Indicate as a lower limit
U         : Indicate as a upper limit
?         : Print this
        """

        # Initialize
        spec, spec_fil = ltgu.read_spec(ispec)

        self.spec = spec
        self.spec_fil = spec_fil
        self.z = z
        self.vmnx = vmnx
        self.norm = norm

        # Abs Lines
        if abs_lines is None:
            self.abs_lines = []
        else:
            self.abs_lines = abs_lines

        #QtCore.pyqtRemoveInputHook()
        #xdb.set_trace()
        #QtCore.pyqtRestoreInputHook()

        self.psdict = {} # Dict for spectra plotting
        self.psdict['x_minmax'] = self.vmnx.value # Too much pain to use units with this
        self.psdict['y_minmax'] = [-0.1, 1.1]
        self.psdict['nav'] = ltgu.navigate(0,0,init=True)

        # Line List
        if llist is None:
            self.llist = ltgu.set_llist('Strong')
        else:
            self.llist = llist
        self.llist['z'] = self.z

        # Indexing for line plotting
        self.idx_line = 0
        self.init_lines()

        # Create the mpl Figure and FigCanvas objects.
        self.dpi = 150
        self.fig = Figure((8.0, 4.0), dpi=self.dpi)
        self.canvas = FigureCanvas(self.fig)
        self.canvas.setParent(self)

        self.canvas.setFocusPolicy( QtCore.Qt.ClickFocus )
        self.canvas.setFocus()
        self.canvas.mpl_connect('key_press_event', self.on_key)
        self.canvas.mpl_connect('button_press_event', self.on_click)

        # Sub_plots (Initial)
        self.sub_xy = [3,4]
        self.fig.subplots_adjust(hspace=0.0, wspace=0.1)

        # Layout
        vbox = QVBoxLayout()
        vbox.addWidget(self.canvas)
#.........这里部分代码省略.........

# 需要导入模块: from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg [as 别名]
# 或者: from matplotlib.backends.backend_qt5agg.FigureCanvasQTAgg import setFocus [as 别名]
class ExamineSpecWidget(QWidget):
    """ Widget to plot a spectrum and interactively
        fiddle about.  Akin to XIDL/x_specplot.pro

        12-Dec-2014 by JXP
    """
    def __init__(self, ispec, parent=None, status=None, llist=None,
                 abs_sys=None, norm=True, second_file=None, zsys=None,
                 key_events=True, vlines=None, plotzero=False, exten=None,
                 xlim=None, ylim=None, rsp_kwargs=None, air=False):
        """
        Parameters
        ----------
        ispec : XSpectrum1D, tuple of arrays or filename
        exten : int, optional
          extension for the spectrum in multi-extension FITS file
        parent : Widget parent, optional
        status : Point to status bar, optional
        llist : dict, optional
          Used to guide the line lists
        abs_sys : list, optional
          AbsSystem's
        zsys : float, optional
          intial redshift
        key_events : bool, optional
          Use key events? [True]
          Useful when coupling to other widgets
        xlim : tuple of two floats
          Initial x plotting limits
        ylim : tuple of two floats
          Initial y plotting limits
        air : bool, optional
          Spectrum is wavelength calibrated `in air`
        """
        super(ExamineSpecWidget, self).__init__(parent)

        # Spectrum
        spec, spec_fil = ltgu.read_spec(ispec, exten=exten, norm=norm,
                                        rsp_kwargs=rsp_kwargs)
        if air:
            spec.meta['airvac'] = 'air'
            spec.airtovac()
        self.orig_spec = spec  # For smoothing
        self.spec = self.orig_spec
        self.parent = parent

        # determine the filename (if any)
        if isinstance(ispec, (str, basestring)):
            filename = ispec
        else:
            filename = None

        self.vlines = []
        if vlines is not None:
            self.vlines.extend(vlines)

        self.plotzero = plotzero

        # Other bits (modified by other widgets)
        self.model = None
        self.bad_model = None  # Discrepant pixels in model
        self.use_event = 1

        # Abs Systems
        if abs_sys is None:
            self.abs_sys = []
        else:
            self.abs_sys = abs_sys
        self.norm = norm
        self.psdict = {}  # Dict for spectra plotting
        self.adict = {}  # Dict for analysis
        self.init_spec(xlim=xlim, ylim=ylim)
        self.xval = None  # Used with velplt

        # Status Bar?
        if not status is None:
            self.statusBar = status

        # Line List?
        if llist is None:
            self.llist = {'Plot': False, 'List': 'None', 'z': 0., 'Lists': []}
        else:
            self.llist = llist

        # zsys
        if zsys is not None:
            self.llist['z'] = zsys

        # Create the mpl Figure and FigCanvas objects.
        # 5x4 inches, 100 dots-per-inch
        #
        self.dpi = 150  # 150
        self.fig = Figure((8.0, 4.0), dpi=self.dpi)
        self.canvas = FigureCanvas(self.fig)
        self.canvas.setParent(self)

        self.canvas.setFocusPolicy( QtCore.Qt.ClickFocus )
        self.canvas.setFocus()
        if key_events:
            self.canvas.mpl_connect('key_press_event', self.on_key)
#.........这里部分代码省略.........

# 需要导入模块: from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg [as 别名]
# 或者: from matplotlib.backends.backend_qt5agg.FigureCanvasQTAgg import setFocus [as 别名]
class Window(QDialog):
    def __init__(self, params_object, library_object, group, parent=None):
        QDialog.__init__(self, parent)
        self.params = params_object
        self.library = library_object
        self.group = group
        matplotlib.projections.register_projection(My_Axes)
        self.region_colors = {0:'gray', 1:'red', 2:'green', 3:'orange', 4:'teal', 5:'pink',
                              6:'cyan', 7:'magenta', 8:'gold'}
        if self.group == 'ALL':
            self.plural_group = "s"
        else:
            self.plural_group = ""
        self.setWindowTitle("NMRmix: Peak Aromaticity Histogram for %s Group%s" % (self.group, self.plural_group))
        self.setAttribute(Qt.WA_DeleteOnClose, True)
        self.scale = 1.05
        self.mean = np.mean(self.library.stats[group]['Aromaticity'])
        self.stdev = np.std(self.library.stats[group]['Aromaticity'])
        self.median = np.median(self.library.stats[group]['Aromaticity'])
        self.createMainFrame()

    def createMainFrame(self):
        self.fig = plt.gcf()
        self.fig.patch.set_facecolor('white')
        self.canvas = FigureCanvas(self.fig)
        self.canvas.setParent(self)
        self.canvas.setFocusPolicy(Qt.StrongFocus)
        self.canvas.setFocus()
        self.canvas.setMinimumHeight(100)
        self.canvas.setMinimumWidth(100)

        self.mpl_toolbar = NavigationToolbar2(self.canvas, self)
        self.mpl_toolbar.hide()
        # self.mpl_toolbar.pan()
        self.canvas.mpl_connect('scroll_event', self.zooming)
        ins = "Left-click+drag to pan x-axis / Right-click+drag to zoom x-axis"
        self.instructionLabel = QLabel(ins)
        self.instructionLabel.setStyleSheet('QLabel{qproperty-alignment: AlignCenter; font-size: 12px;}')
        self.closeButton = QPushButton("Close")
        self.closeButton.setStyleSheet("QPushButton{color: red; font-weight: bold;}")
        self.closeButton.clicked.connect(self.closeEvent)
        self.saveButton = QPushButton("Save")
        self.saveButton.setStyleSheet("QPushButton{color: green; font-weight: bold;}")
        self.saveButton.clicked.connect(self.saveResults)
        self.resetButton = QPushButton("Reset")
        self.resetButton.setStyleSheet("QPushButton{color: blue; font-weight: bold;}")
        self.resetButton.clicked.connect(self.resetGraph)
        self.calculateHistogram()
        winLayout = QVBoxLayout(self)
        winLayout.addWidget(self.canvas)
        winLayout.addWidget(self.instructionLabel)
        buttonLayout = QHBoxLayout()
        buttonLayout.addWidget(self.closeButton)
        buttonLayout.addWidget(self.resetButton)
        buttonLayout.addWidget(self.saveButton)
        winLayout.addLayout(buttonLayout)
        self.fig.tight_layout(pad=3)
        self.canvas.draw()

    def calculateHistogram(self):
        self.ax = self.fig.add_subplot(111, projection="My_Axes")
        self.ax.set_title("Peak Aromaticity Histogram for %s Group%s" % (self.group, self.plural_group),
                          fontweight='bold')
        self.ax.set_xlabel("Percentage of Aromatic Peaks (aromatic >= %0.3f ppm)" % self.params.aromatic_cutoff, fontweight='bold')
        self.ax.set_ylabel("Number of Compounds", fontweight='bold')
        data = list(self.library.stats[self.group]['Aromaticity'])
        self.ax.hist(data, bins=range(0, 110, 10), color='red', alpha=0.75, rwidth=0.9)
        self.ax.xaxis.set_ticks_position('none')
        self.ax.yaxis.set_ticks_position('none')
        self.ax.annotate("Mean: %.1f %%" % (self.mean), xy=(0.70, 0.82), xycoords='figure fraction',
                         horizontalalignment='left')
        self.ax.annotate("Median: %.0f %%" % (self.median), xy=(0.70, 0.79), xycoords='figure fraction',
                         horizontalalignment='left')

    def resetGraph(self):
        self.mpl_toolbar.home()

    def zooming(self, event):
        cur_ylim = self.ax.get_ylim()
        cur_yrange = (cur_ylim[1] - cur_ylim[0])
        if event.button == 'up':
            scale_factor = self.scale
        elif event.button == 'down':
            scale_factor = 1/self.scale
        else:
            scale_factor = 1

        self.ax.set_ylim([0, (cur_yrange*scale_factor)])
        self.canvas.draw()

    def saveResults(self):
        filename = "peakaromaticity.png"
        filepath = os.path.join(self.params.work_dir, filename)
        filestype = "static (*.png *.jpg *.svg)"
        fileObj = QFileDialog.getSaveFileName(self, caption="Save Peak Stats Plot", directory=filepath, filter=filestype)
        if fileObj[0]:
            self.fig.set_size_inches(12, 8)
            plt.savefig(fileObj[0], dpi=200)

    def closeEvent(self, event=False):
#.........这里部分代码省略.........

# 需要导入模块: from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg [as 别名]
# 或者: from matplotlib.backends.backend_qt5agg.FigureCanvasQTAgg import setFocus [as 别名]
class band_graph(QWidget):
	def init(self):

		self.main_vbox = QVBoxLayout()

		toolbar=QToolBar()
		toolbar.setIconSize(QSize(32, 32))

		self.tb_save = QAction(QIcon(os.path.join(get_image_file_path(),"save.svg")), "Save image", self)
		self.tb_save.setStatusTip(_("Close"))
		self.tb_save.triggered.connect(self.callback_save_image)
		toolbar.addAction(self.tb_save)

		self.main_vbox.addWidget(toolbar)

		self.my_figure=Figure(figsize=(5,4), dpi=100)
		self.canvas = FigureCanvas(self.my_figure)
		self.canvas.mpl_connect('key_press_event', self.press)
		self.canvas.setFocusPolicy( Qt.ClickFocus )
		self.canvas.setFocus()
		self.canvas.figure.patch.set_facecolor('white')
		#self.canvas.set_size_request(600, 400)
		self.canvas.show()

		self.main_vbox.addWidget(self.canvas)

		#self.canvas.connect('key_press_event', self.on_key_press_event)


		self.setLayout(self.main_vbox)


#	def keyPressEvent(self, event):
#		pritn("oh")
#
#		keyname = ''
#		key = event.key()
#		modifiers = int(event.modifiers())
#		if (Qt.CTRL & modifiers)==modifiers and key==67:
#			self.do_clip()
#			self.canvas.draw()

	def press(self,event):
		#print('press', event.key)
		sys.stdout.flush()
		if event.key == "ctrl+c":
			self.do_clip()


	def do_clip(self):
		buf = io.BytesIO()
		self.my_figure.savefig(buf)
		QApplication.clipboard().setImage(QImage.fromData(buf.getvalue()))
		buf.close()

	def callback_save_image(self):
		response=save_as_filter(self,"png (*.png);;jpg (*.jpg)")
		if response != None:
			print(response)
			self.my_figure.savefig(response)

	def set_data_file(self,file):
		self.optical_mode_file=os.path.join(os.getcwd(),"light_dump",file)

	def draw_graph(self):
		self.layer_end=[]
		self.layer_name=[]

		n=0
		self.my_figure.clf()
		ax1 = self.my_figure.add_subplot(111)
		ax2 = ax1.twinx()
		x_pos=0.0
		layer=0
		color =['r','g','b','y','o','r','g','b','y','o']
		start=0.0

		for i in range(0,epitaxy_get_layers()):
			if epitaxy_get_electrical_layer(i).startswith("dos")==False:
				start=start-epitaxy_get_width(i)
			else:
				break
		print("START=",start)
		start=start*1e9

		x_pos=start
		for i in range(0,epitaxy_get_layers()):

#			label=epitaxy_get_mat_file(i)
			layer_ticknes=epitaxy_get_width(i)
			layer_material=epitaxy_get_mat_file(i)

			delta=float(layer_ticknes)*1e9
			print(epitaxy_get_electrical_layer(i))
			if epitaxy_get_electrical_layer(i).startswith("dos")==False:
				mat_file=os.path.join(os.getcwd(),'materials',layer_material,'mat.inp')
				myfile = open(mat_file)
				self.mat_file_lines = myfile.readlines()
				myfile.close()

#.........这里部分代码省略.........

# 需要导入模块: from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg [as 别名]
# 或者: from matplotlib.backends.backend_qt5agg.FigureCanvasQTAgg import setFocus [as 别名]
class Window(QDialog):
    def __init__(self, params_object, library_object, compound_list, mixture_id, parent=None):
        QDialog.__init__(self, parent)
        matplotlib.projections.register_projection(My_Axes)
        self.library = library_object
        self.params = params_object
        self.compounds = list(compound_list)
        self.mixture_id = mixture_id
        self.show_list = list(compound_list)
        self.compound_colors_list = ['red', 'blue', 'green', 'orange', 'purple', 'teal', 'pink', 'gray',
                                     'cyan', 'magenta', 'gold', 'brown', 'olive', 'yellow', 'maroon',
                                     'darkseagreen', 'darksalmon', 'turquoise', 'khaki', 'crimson']
        self.compound_colors = self.compound_colors_list * ((len(self.show_list) // 20) + 1)
        self.scale = 1.05
        self.show_rois = True
        self.show_full_rois = False
        self.show_ignored = False
        self.show_ignored_peaks = False
        self.show_positive_overlap = False
        self.setWindowTitle("NMRmix: Simulated Spectra of Mixture %s" % self.mixture_id)
        self.createMainFrame()
        self.drawData()

    def createMainFrame(self):
        self.fig = plt.gcf()
        self.fig.patch.set_facecolor('white')
        self.fig.set_size_inches(12, 5)
        self.canvas = FigureCanvas(self.fig)
        self.canvas.setParent(self)
        self.canvas.setFocusPolicy(Qt.StrongFocus)
        self.canvas.setFocus()
        self.canvas.setMinimumHeight(100)
        self.canvas.setMinimumWidth(100)
        self.mpl_toolbar = NavigationToolbar2(self.canvas, self)
        self.mpl_toolbar.hide()
        self.mpl_toolbar.pan()
        self.canvas.mpl_connect('scroll_event', self.zooming)
        self.showroisCheckBox = QCheckBox("Show Unoverlapped ROIs")
        self.showroisCheckBox.setStyleSheet('QCheckBox{font-size: 12px;}')
        self.showroisCheckBox.setToolTip("Shows the regions of interest around every non-overlapped peak.\n"
                                         "Useful for visualizing the regions that should be monitored in this mixture.")
        self.showroisCheckBox.setChecked(True)
        self.showfullroisCheckBox = QCheckBox("Show Complete ROIs")
        self.showfullroisCheckBox.setStyleSheet('QCheckBox{font-size: 12px;}')
        self.showfullroisCheckBox.setToolTip("Shows the regions of interest around every peak regardless of whether\n"
                                             "it is overlapped or not. Useful for visualizing the magnitude of overlaps.")
        self.showignoredregionsCheckBox = QCheckBox("Show Ignored Regions")
        self.showignoredregionsCheckBox.setStyleSheet('QCheckBox{font-size: 12px;}')
        self.showignoredregionsCheckBox.setToolTip("Shows the ranges set by the solvent/buffer ignore regions, if any.")
        self.showignoredpeaksCheckBox = QCheckBox("Show Ignored Peaks")
        self.showignoredpeaksCheckBox.setStyleSheet('QCheckBox{font-size: 12px;}')
        self.showignoredpeaksCheckBox.setToolTip("Shows any compound peaks that are in the solvent/buffer ignore regions, if any.\n"
                                                 "These peaks are ignored and are not evaluated during mixing.")
        self.showpositiveoverlapCheckBox = QCheckBox("Show Overlaps as Positive")
        self.showpositiveoverlapCheckBox.setStyleSheet('QCheckBox{font-size: 12px;}')
        self.showpositiveoverlapCheckBox.setToolTip("By default, peaks that overlap are shown as negative peaks.\n"
                                                    "This option allows for these peaks to be shown as positive peaks.")
        self.resetButton = QPushButton("Reset")
        self.resetButton.setStyleSheet("QPushButton{color: orange; font-weight: bold;}")
        self.resetButton.setToolTip("Resets the spectrum to the default view.")
        self.saveButton = QPushButton("Save")
        self.saveButton.setStyleSheet("QPushButton{color: green; font-weight: bold;}")
        self.saveButton.setToolTip("Saves the image in the spectrum window.")
        self.closeButton = QPushButton("Close")
        self.closeButton.setStyleSheet("QPushButton{color: red; font-weight: bold;}")
        self.closeButton.setToolTip("Closes this window.")
        vbox = QVBoxLayout(self)
        self.spectraLabel = QLabel("Simulated Spectra of Mixture %s" % self.mixture_id)
        self.spectraLabel.setStyleSheet('QLabel{color: red; font-weight: bold; qproperty-alignment: AlignCenter; '
                                        'font-size: 14px;}')
        self.spectraLabel.setToolTip("Shows the simulated spectra of the compounds in this mixture based solely on peaklists.\n"
                                     "Peaks are drawn based on a Lorentzian shape.")
        vbox.addWidget(self.spectraLabel)
        vbox.addWidget(self.canvas)
        ins = "Left-click+drag to pan x-axis / Right-click+drag to zoom x-axis / Scroll-wheel to change intensity scale"
        self.instructionLabel = QLabel(ins)
        self.instructionLabel.setStyleSheet('QLabel{qproperty-alignment: AlignCenter; font-size: 12px;}')
        vbox.addWidget(self.instructionLabel)
        gridbox = QGridLayout()
        self.compound_legend = {}
        for i, compound in enumerate(self.show_list):
            self.compound_legend[i] = QPushButtonRight(str(compound))
            self.compound_legend[i].setStyleSheet("QPushButton {background-color: %s; font-weight: bold;}" % self.compound_colors[i])
            self.compound_legend[i].leftClicked.connect(self.handleLegend)
            self.compound_legend[i].rightClicked.connect(self.handleCompoundButtonRight)
            self.compound_legend[i].setToolTip("Left-click to toggle the spectra for this compound.\n"
                                               "Right-click to show compound infomation.")

            row = int(i / 6)
            column = i % 6
            gridbox.addWidget(self.compound_legend[i], row, column)
        vbox.addLayout(gridbox)
        hbox1 = QHBoxLayout()
        hbox1.addWidget(self.showroisCheckBox)
        hbox1.addWidget(self.showfullroisCheckBox)
        hbox1.addWidget(self.showignoredregionsCheckBox)
        hbox1.addWidget(self.showignoredpeaksCheckBox)
        hbox1.addWidget(self.showpositiveoverlapCheckBox)


#.........这里部分代码省略.........