def __drawParetoChart(self): def make_noise(value, noise_size): return value + (noise_size / -2 + noise_size * random.random()) self.__pareto_chart.removeAllSeries() series1 = QScatterSeries() series1.setMarkerShape(QScatterSeries.MarkerShapeCircle) series1.setMarkerSize(5) series1.append(make_noise(23, 2), make_noise(25, 2)) series1.setBrush(QColor(Qt.red)) self.__pareto_chart.addSeries(series1) self.__axisy.setRange(0.0, 100.0) series3 = QScatterSeries() series3.setName("Точка утопии") series3.setMarkerShape(QScatterSeries.MarkerShapeCircle) series3.setMarkerSize(10) series3.append(make_noise(2, 0.5), make_noise(23, 2)) self.__pareto_chart.addSeries(series3) series2 = QScatterSeries() series2.setName("Оптимальный") series2.setMarkerShape(QScatterSeries.MarkerShapeCircle) series2.setMarkerSize(7) series2.append(make_noise(2, 0.5), make_noise(45, 4)) self.__pareto_chart.addSeries(series2) self.__pareto_chart.setAxisX(self.__axisx, series1) self.__pareto_chart.setAxisY(self.__axisy, series1) self.__pareto_chart.setAxisX(self.__axisx, series2) self.__pareto_chart.setAxisY(self.__axisy, series2) self.__pareto_chart.setAxisX(self.__axisx, series3) self.__pareto_chart.setAxisY(self.__axisy, series3)
def setupChart(self): """Set up the GUI's series and chart.""" # Collect x and y data values from the CSV file x_values, y_values = self.loadCSVFile() # Get the largest x and y values; Used for setting the chart's axes x_max, y_max = max(x_values), max(y_values) # Create numpy arrays from the x and y values x_values = np.array(x_values) y_values = np.array(y_values) # Calculate the regression line coefficients = linearRegression(x_values, y_values) # Create chart object chart = QChart() chart.setTitle("Auto Insurance for Geographical Zones in Sweden") chart.legend().hide() # Create scatter series and add points to the series scatter_series = QScatterSeries() scatter_series.setName("DataPoints") scatter_series.setMarkerSize(9.0) scatter_series.hovered.connect(self.displayPointInfo) for value in range(0, self.row_count - 1): scatter_series.append(x_values[value], y_values[value]) scatter_series.setBorderColor(QColor('#000000')) # Create line series and add points to the series line_series = QLineSeries() line_series.setName("RegressionLine") # Calculate the regression line for x in x_values: y_pred = coefficients[0] + coefficients[1] * x line_series.append(x, y_pred) # Add both series to the chart and create x and y axes chart.addSeries(scatter_series) chart.addSeries(line_series) chart.createDefaultAxes() axis_x = chart.axes(Qt.Horizontal) axis_x[0].setTitleText("Number of Claims") axis_x[0].setRange(0, x_max) axis_x[0].setLabelFormat("%i") axis_y = chart.axes(Qt.Vertical) axis_y[0].setTitleText( "Total Payment in Swedish Kronor (in thousands)") axis_y[0].setRange(0, y_max + 20) # Create QChartView object for displaying the chart chart_view = QChartView(chart) v_box = QVBoxLayout() v_box.addWidget(chart_view) self.setLayout(v_box)
class ChartView(QChartView,QChart): def __init__(self, *args, **kwargs): super(ChartView, self).__init__(*args, **kwargs) self.resize(800, 600) self.setRenderHint(QPainter.Antialiasing) # 抗锯齿 self.chart_init() self.timer_init() def timer_init(self): #使用QTimer,2秒触发一次,更新数据 self.timer = QTimer(self) self.timer.timeout.connect(self.drawLine) self.timer.start(100) def chart_init(self): self.chart = QChart() self.series = QScatterSeries() #设置曲线名称 self.series.setName("实时数据") self.series.setColor(QColor(255,0,0)) self.series.setMarkerSize(20.0) self.series.setPen(QPen(QtCore.Qt.PenStyle.NoPen)) #把曲线添加到QChart的实例中 self.chart.addSeries(self.series) #声明并初始化X轴,Y轴 self.dtaxisX = QDateTimeAxis() self.vlaxisY = QValueAxis() #设置坐标轴显示范围 self.dtaxisX.setMin(QDateTime.currentDateTime().addSecs(-300*1)) self.dtaxisX.setMax(QDateTime.currentDateTime().addSecs(0)) self.vlaxisY.setMin(0) self.vlaxisY.setMax(1500) #设置X轴时间样式 self.dtaxisX.setFormat("MM月dd hh:mm:ss") #设置坐标轴上的格点 self.dtaxisX.setTickCount(6) self.vlaxisY.setTickCount(11) #设置坐标轴名称 self.dtaxisX.setTitleText("时间") self.vlaxisY.setTitleText("量程") #设置网格不显示` #把坐标轴添加到chart中 self.chart.addAxis(self.dtaxisX,Qt.AlignBottom) self.chart.addAxis(self.vlaxisY,Qt.AlignLeft) #把曲线关联到坐标轴 self.series.attachAxis(self.dtaxisX) self.series.attachAxis(self.vlaxisY) self.setChart(self.chart) def drawLine(self): #获取当前时间 bjtime = QDateTime.currentDateTime() #更新X轴坐标 self.dtaxisX.setMin(QDateTime.currentDateTime().addSecs(-300*1)) self.dtaxisX.setMax(QDateTime.currentDateTime().addSecs(0)) #当曲线上的点超出X轴的范围时,移除最早的点 if(self.series.count()>149): self.series.removePoints(0,self.series.count()-149) #产生随即数 yint = random.randint(0,1500) #添加数据到曲线末端 self.series.append(bjtime.toMSecsSinceEpoch(),yint)
def getSeries(self, chart): for i, data_list in enumerate(self.m_dataTable): series = QScatterSeries(chart) for value, _ in data_list: series.append(value) series.setName('Series ' + str(i)) chart.addSeries(series)
def addSeries(self, _x2idx: typing.Dict, _idx2x: list, _chart: QChart, _axis_x: QValueAxis, _axis_y: QValueAxis): series = QScatterSeries() series.setName(self.name) for x, y in zip(self.x_list, self.y_list): series.append(_x2idx[x], y) if self.color is not None: series.setColor(self.color) _chart.addSeries(series) _chart.setAxisX(_axis_x, series) _chart.setAxisY(_axis_y, series) if self.show_value: self.createShow()
def createScatterChart(self): chart = QChart() chart.setTitle("Scatter chart") for i, data_list in enumerate(self.m_dataTable): series = QScatterSeries(chart) for value, _ in data_list: series.append(value) series.setName("Series " + str(i)) chart.addSeries(series) chart.createDefaultAxes() return chart
def addSeries( self, _x2idx: typing.Dict, _idx2x: list, _chart: QChart, _axis_x: QValueAxis, _axis_y: QValueAxis ): series = QScatterSeries() series.setName(self.name) for x, y in zip(self.x_list, self.y_list): series.append(_x2idx[x], y) if self.color is not None: series.setColor(self.color) _chart.addSeries(series) _chart.setAxisX(_axis_x, series) _chart.setAxisY(_axis_y, series) if self.show_value: self.createShow()
def XScatterSeries(data_dict, key_order = None, xkey = None, openGL=False): ''' the first dict in the key_order will be used as the x-axis ''' if key_order==None: key_order = data_dict.keys() series = [] if xkey == None: xkey = list(key_order)[0] for key in key_order-xkey: set = QScatterSeries(); set.setName(key) if openGL: set.setUseOpenGL(True) for i, (itemx, itemy) in enumerate(zip_longest(data_dict[xkey],data_dict[key])): set.append(itemx, itemy) series.append(set) return series
def appendScatterSeries(self, name, list_x, list_y): ls = QScatterSeries() ls.setName(name) self.series.append(ls) for i in range(len(list_x)): x = float(list_x[i]) y = float(list_y[i]) ls.append(x, y) if self.maxy == None: #Gives first maxy and miny self.maxy = y * 1.01 self.miny = y * 0.99 self.maxx = x * 1.01 self.minx = x * 0.99 if y > self.maxy: self.maxy = y if y < self.miny: self.miny = y if x > self.maxx: self.maxx = x if x < self.minx: self.minx = x
axis.setRange(min, max) newChart.setTitle(oldChart.title()) self.setChart(newChart) app = QApplication(sys.argv) ANGULAR_MIN = -100 ANGULAR_MAX = 100 RADIAL_MIN = -100 RADIAL_MAX = 100 series1 = QScatterSeries() series1.setName("scatter") for i in range(ANGULAR_MIN, ANGULAR_MAX + 1, 10): series1.append(i, (float(i) / RADIAL_MAX) * RADIAL_MAX + 8.0) series2 = QSplineSeries() series2.setName("spline") for i in range(ANGULAR_MIN, ANGULAR_MAX + 1, 10): series2.append(i, (float(i) / RADIAL_MAX) * RADIAL_MAX) series3 = QLineSeries() series3.setName("star outer") ad = (ANGULAR_MAX - ANGULAR_MIN) / 8.0 rd = (RADIAL_MAX - RADIAL_MIN) / 3.0 * 1.3 series3.append(ANGULAR_MIN, RADIAL_MAX) series3.append(ANGULAR_MIN + ad * 1, RADIAL_MIN + rd) series3.append(ANGULAR_MIN + ad * 2, RADIAL_MAX)
def __createChart(self): ##创建图表 chart = QChart() #创建 Chart ## chart.setTitle("简单函数曲线") chart.legend().setVisible(True) self.chartView.setChart(chart) #Chart添加到chartView pen=QPen() pen.setWidth(2) ##========LineSeries折线 和 ScatterSeries散点 seriesLine = QLineSeries() seriesLine.setName("LineSeries折线") seriesLine.setPointsVisible(False) #数据点不可见 pen.setColor(Qt.red) seriesLine.setPen(pen) seriesLine.hovered.connect(self.do_series_hovered) #信号 hovered seriesLine.clicked.connect(self.do_series_clicked) #信号 clicked chart.addSeries(seriesLine) #添加到chart seriesLinePoint = QScatterSeries() #散点序列 seriesLinePoint.setName("ScatterSeries散点") shape=QScatterSeries.MarkerShapeCircle #MarkerShapeRectangle seriesLinePoint.setMarkerShape(shape) #散点形状,只有2种 seriesLinePoint.setBorderColor(Qt.yellow) seriesLinePoint.setBrush(QBrush(Qt.red)) seriesLinePoint.setMarkerSize(10) #散点大小 seriesLinePoint.hovered.connect(self.do_series_hovered) #信号 hovered seriesLinePoint.clicked.connect(self.do_series_clicked) #信号 clicked chart.addSeries(seriesLinePoint) #添加到chart ##======== SplineSeries 曲线和 QScatterSeries 散点 seriesSpLine = QSplineSeries() seriesSpLine.setName("SplineSeries曲线") seriesSpLine.setPointsVisible(False) #数据点不可见 pen.setColor(Qt.blue) seriesSpLine.setPen(pen) seriesSpLine.hovered.connect(self.do_series_hovered) #信号 hovered seriesSpLine.clicked.connect(self.do_series_clicked) #信号 clicked seriesSpPoint = QScatterSeries() #散点序列 seriesSpPoint.setName("QScatterSeries") shape=QScatterSeries.MarkerShapeRectangle #MarkerShapeCircle seriesSpPoint.setMarkerShape(shape) #散点形状,只有2种 seriesSpPoint.setBorderColor(Qt.green) seriesSpPoint.setBrush(QBrush(Qt.blue)) seriesSpPoint.setMarkerSize(10) #散点大小 seriesSpPoint.hovered.connect(self.do_series_hovered) #信号 hovered seriesSpPoint.clicked.connect(self.do_series_clicked) #信号 clicked chart.addSeries(seriesSpLine) chart.addSeries(seriesSpPoint) ## 创建缺省坐标轴 chart.createDefaultAxes() #创建缺省坐标轴并与序列关联 chart.axisX().setTitleText("time(secs)") chart.axisX().setRange(0,10) chart.axisX().applyNiceNumbers() chart.axisY().setTitleText("value") chart.axisY().setRange(-2,2) chart.axisY().applyNiceNumbers() for marker in chart.legend().markers(): #QLegendMarker类型列表 marker.clicked.connect(self.do_LegendMarkerClicked)
def appendScatterSeries(self, name): ls = QScatterSeries() ls.setName(name) self.series.append(ls) return ls
class Window(QMainWindow): def __init__(self, landmarkPoints, allPoints, threadEvent): super().__init__() self.title = "Lidar data points" #self.queue = queue self.color = Qt.darkRed self.lmrkPoints = landmarkPoints self.allPoints = allPoints self.event = threadEvent self.left = 500 self.top = 500 self.height = 480 self.width = 640 self.count = 0 self.time = 0 self.label = QLabel(self) self.lmrkBox = QCheckBox("Landmark points", self) self.ptsBox = QCheckBox("Data points", self) self.boxArea = QWidget() self.mainLayout = QGridLayout() self.mainLayout.addWidget(self.lmrkBox, 0, 0) self.mainLayout.addWidget(self.ptsBox, 1, 0) self.mainLayout.setVerticalSpacing(5) self.boxArea.setLayout(self.mainLayout) crote = QDockWidget("Hide", self) crote.setWidget(self.boxArea) self.addDockWidget(Qt.LeftDockWidgetArea, crote) dock = QDockWidget("", self) dock.setWidget(self.label) self.addDockWidget(Qt.LeftDockWidgetArea, dock) self.chart = QChart() self.config_axis() self.series = QScatterSeries(self.chart) self.allSeries = QScatterSeries(self.chart) self.config_series() #self.update() self.timer = QTimer(self) self.view = QChartView(self.chart) self.setCentralWidget( self.view ) # It is needed to create to view because the CentralWidget needs to be a QWidget, and a QChart is not so. self.initWindow() def config_series(self): self.series.setName("Landmark Points") self.allSeries.setName("Data Points") lmrkPen = self.series.pen() pen = self.allSeries.pen() lmrkPen.setWidthF(.2) pen.setWidthF(.2) self.series.setPen(lmrkPen) self.allSeries.setPen(pen) self.series.setColor(Qt.red) self.allSeries.setColor(Qt.blue) self.series.setMarkerShape(1) # 1 - rectangle; 0 - circle # for good visualization, the landmark points should be bigger than normal points self.series.setMarkerSize(8) self.allSeries.setMarkerSize(5) self.label.move(15, 15) def config_axis(self): self.xAxis = QValueAxis() self.yAxis = QValueAxis() self.xAxis.setRange(-XRANGE, XRANGE) self.xAxis.setTitleText("Eixo x") self.yAxis.setRange(-YRANGE, YRANGE) self.yAxis.setTitleText("Eixo y") self.chart.addAxis(self.xAxis, Qt.AlignBottom) self.chart.addAxis(self.yAxis, Qt.AlignLeft) def update(self): self.event.wait() start = time.time() self.label.setText("FPS: {:.2f}".format(1 / (time.time() - self.time))) self.time = time.time() if self.count == 0 and self.lmrkPoints != []: self.series.append(self.lmrkPoints[0][:]) self.allSeries.append(self.allPoints[0][:]) del self.lmrkPoints[:] del self.allPoints[:] self.count = 1 elif self.lmrkPoints != []: self.series.replace(self.lmrkPoints[0][:]) self.allSeries.replace(self.allPoints[0][:]) del self.lmrkPoints[:] del self.allPoints[:] end = time.time() self.event.clear() def hide_show_points(self): self.series.setVisible(not self.series.isVisible()) def hide_show_all_points(self): self.allSeries.setVisible(not self.allSeries.isVisible()) def initWindow(self): print("queue inside myWindow: {}".format(self.lmrkPoints)) self.setGeometry(self.left, self.top, self.width, self.height) self.setWindowTitle(self.title) self.chart.addSeries(self.series) self.chart.addSeries(self.allSeries) self.series.attachAxis(self.xAxis) self.series.attachAxis(self.yAxis) self.allSeries.attachAxis(self.xAxis) self.allSeries.attachAxis(self.yAxis) self.timer.timeout.connect(self.update) self.lmrkBox.stateChanged.connect(self.hide_show_points) self.ptsBox.stateChanged.connect(self.hide_show_all_points) self.timer.start(0) self.show()