Python FigureCanvasQTAgg.setMinimumWidth方法代码示例

# 需要导入模块: from matplotlib.backends.backend_qt4agg import FigureCanvasQTAgg [as 别名]
# 或者: from matplotlib.backends.backend_qt4agg.FigureCanvasQTAgg import setMinimumWidth [as 别名]
    def r_rep_widget(self):
        """
        This class creates the figure and instance of the ReducedRepPlot that is used to create the plot in the
        top right corner

        Parameters
        ----------
        self

        Returns
        -------
        None

        """
        figure = plt.figure()
        canvas = FigureCanvas(figure)
        canvas.mpl_connect('button_press_event', self.click_handling)
        FigureCanvas.setSizePolicy(canvas, QtGui.QSizePolicy.Expanding, QtGui.QSizePolicy.Expanding)
        FigureCanvas.updateGeometry(canvas)
        canvas.setMinimumWidth(800)
        self.rpp = ReducedRepPlot(self.data_dict, self.key_list, 0, 100, 0, 100, "min", figure, canvas)
        toolbar = NavigationToolBar(canvas, self)
        layout = QtGui.QVBoxLayout()
        layout.addWidget(toolbar)
        layout.addWidget(canvas)
        self.display_box_1.addStretch()
        self.display_box_1.addLayout(layout)

# 需要导入模块: from matplotlib.backends.backend_qt4agg import FigureCanvasQTAgg [as 别名]
# 或者: from matplotlib.backends.backend_qt4agg.FigureCanvasQTAgg import setMinimumWidth [as 别名]

#.........这里部分代码省略.........
    def startpoint(self,case_id):
        voi_val = int(self.voi_cbox.currentText())
        vhi_val = int(self.vhi_cbox.currentText())
        type_val = str(self.type_cbox.currentText())

        case = self.cas.cases[case_id]
        if type_val == 'CCl':
            idx0 = case.findpoint(tfu=293)
            voi = case.statepts[idx0].voi
            vhi = case.statepts[idx0].vhi
            voi_index = [i for i,v in enumerate(self.voilist) if int(v) == voi][0]
            vhi_index = [i for i,v in enumerate(self.vhilist) if int(v) == vhi][0]
            self.voi_cbox.setCurrentIndex(voi_index)
            self.vhi_cbox.setCurrentIndex(vhi_index)
        else:
            idx0 = case.findpoint(voi=voi_val,vhi=vhi_val)
        return idx0



    def create_main_frame(self):
        self.main_frame = QWidget()

        # Create the mpl Figure and FigCanvas objects. 
        # 5x4 inches, 100 dots-per-inch
        #
        self.dpi = 100
        self.fig = Figure((6, 5), dpi=self.dpi, facecolor=None)
        #self.fig = Figure((6, 5), dpi=self.dpi, facecolor=(1,1,1))
        self.canvas = FigureCanvas(self.fig)
        self.canvas.mpl_connect('button_press_event',self.on_click)
        self.canvas.setParent(self.main_frame)
        self.canvas.setSizePolicy(QSizePolicy.Expanding,QSizePolicy.Expanding)
        self.canvas.setMinimumWidth(500)
        self.canvas.setMinimumHeight(416)
        
        cvbox = QVBoxLayout()
        cvbox.addWidget(self.canvas)
        canvasGbox = QGroupBox()
        canvasGbox.setStyleSheet("QGroupBox { background-color: rgb(200, 200,\
        200); border:1px solid gray; border-radius:5px;}")
        canvasGbox.setLayout(cvbox)

        # 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.
        #
        self.axes = self.fig.add_subplot(111)
        
        # Bind the 'pick' event for clicking on one of the bars
        #
        #self.canvas.mpl_connect('pick_event', self.on_pick)
        
        # Create the navigation toolbar, tied to the canvas
        #
        #self.mpl_toolbar = NavigationToolbar(self.canvas, self.main_frame)

        # Other GUI controls
        # 
        #self.textbox = QLineEdit()
        #self.textbox.setMinimumWidth(200)
        #self.connect(self.textbox, SIGNAL('editingFinished ()'), self.on_draw)

                
        #self.draw_button = QPushButton("Draw")

# 需要导入模块: from matplotlib.backends.backend_qt4agg import FigureCanvasQTAgg [as 别名]
# 或者: from matplotlib.backends.backend_qt4agg.FigureCanvasQTAgg import setMinimumWidth [as 别名]

#.........这里部分代码省略.........
            is_checkable=True,
            is_checked=True,
            is_exclusive=True,
            receiver=self._on_show_line,
            signal_type='toggled')

        self.show_hist_action = plot_toolbar.add_action(
            text='Show histogram',
            icon_name='actions/view-plot-hist-symbolic.svg',
            tooltip_text='Show histogram',
            is_checkable=True,
            is_exclusive=True,
            receiver=self._on_show_hist,
            signal_type='toggled')

        plot_toolbar.addStretch()

        # figure
        self.figure = Figure()
        self._set_figure_background_color()
        self.canvas = FigureCanvas(self.figure)
        frame = QtGui.QFrame()
        frame.setFrameStyle(QtGui.QFrame.StyledPanel)
        frame_layout = QtGui.QVBoxLayout()
        frame_layout.setContentsMargins(0, 0, 0, 0)
        frame.setLayout(frame_layout)
        frame_layout.addWidget(self.canvas)
        policy = QtGui.QSizePolicy()
        policy.setHorizontalStretch(1)
        policy.setVerticalStretch(1)
        policy.setHorizontalPolicy(QtGui.QSizePolicy.Expanding)
        policy.setVerticalPolicy(QtGui.QSizePolicy.Expanding)
        self.canvas.setSizePolicy(policy)
        self.canvas.setMinimumWidth(300)
        self.axes = self.figure.add_subplot(111)

        # Figure Layout
        layout = QtGui.QVBoxLayout()
        layout.setContentsMargins(0, 0, 0, 0)
        layout.setSpacing(0)
        layout.addWidget(plot_toolbar)
        layout.addWidget(frame)

        # Default navigation toolbar for matplotlib
        self.mpl_toolbar = sywidgets.SyNavigationToolbar(self.canvas, self)
        layout.addWidget(self.mpl_toolbar)

        self.setLayout(layout)

        self._update_signal_comboboxes()

        self._timeout_after = 500
        self._update_plot_timer = QtCore.QTimer(self)
        self._update_plot_timer.setInterval(self._timeout_after)
        self._update_plot_timer.setSingleShot(True)

        self.x_value.currentIndexChanged[int].connect(self._x_selection_changed)
        self.y_value.currentIndexChanged[int].connect(self._y_selection_changed)
        self.y_value.selectedItemsChanged.connect(self._update_plot_timer.start)
        self.resample_value.valueChanged[int].connect(self._resample_value_changed)
        self.binning_value.valueChanged.connect(self._binning_value_changed)
        self.plot_large_data_check.stateChanged.connect(self._update_plot_timer.start)
        self._update_plot_timer.timeout.connect(self._update_plot)

    def paintEvent(self, event):
        self._draw_canvas()