def createSplineChart(self): chart = QChart() chart.setTitle("Spline chart") for i, data_list in enumerate(self.m_dataTable): series = QSplineSeries(chart) for value, _ in data_list: series.append(value) series.setName("Series " + str(i)) chart.addSeries(series) chart.createDefaultAxes() return chart
class DynamicSpline(QChart): def __init__(self): super().__init__() self.m_step = 0 self.m_x = 2 self.m_y = 1 # Инициализировать изображение self.series = QSplineSeries(self) red_pen = QPen(Qt.red) red_pen.setWidth(2) self.series.setPen(red_pen) self.axisX = QValueAxis() self.axisY = QValueAxis() self.series.append(self.m_x, self.m_y) self.addSeries(self.series) self.addAxis(self.axisX, Qt.AlignBottom) self.addAxis(self.axisY, Qt.AlignLeft) self.series.attachAxis(self.axisX) self.series.attachAxis(self.axisY) self.axisX.setTickCount(5) self.axisX.setRange(0, 10) self.axisY.setRange(0, 100) self.timer = QTimer(self) self.timer.setInterval(1000) self.timer.timeout.connect(self.handleTimeout) self.timer.start() def handleTimeout(self): x = self.plotArea().width() / self.axisX.tickCount() y = (self.axisX.max() - self.axisX.min()) / self.axisX.tickCount() self.m_x += y # В PyQt 5.11.3 и выше, QRandomGenerator.global() был переименован в global_() try: self.m_y=db_wrk() except : self.m_y = QRandomGenerator.global_().bounded(50) self.series.append(self.m_x, self.m_y) self.scroll(x, 0) if self.m_x >= 10: self.timer.stop() def db_wrk(): return m_y
class CpuLineChart(QChart): def __init__(self, *args, **kwargs): super(CpuLineChart, self).__init__(*args, **kwargs) self.m_count = 10 # 隐藏图例 self.legend().hide() self.m_series = QSplineSeries(self) # 设置画笔 self.m_series.setPen(QPen(QColor('#3B8CFF'), 2, Qt.SolidLine, Qt.RoundCap, Qt.RoundJoin)) self.addSeries(self.m_series) # x轴 self.m_axisX = QDateTimeAxis(self) self.m_axisX.setTickCount(self.m_count + 1) # 设置刻度数量 self.m_axisX.setFormat('hh:mm:ss') # 设置时间显示格式 now = QDateTime.currentDateTime() # 前10秒到现在 self.m_axisX.setRange(now.addSecs(-self.m_count), now) self.addAxis(self.m_axisX, Qt.AlignBottom) self.m_series.attachAxis(self.m_axisX) # y轴 self.m_axisY = QValueAxis(self) self.m_axisY.setLabelFormat('%d') # 设置文本格式 self.m_axisY.setMinorTickCount(4) # 设置小刻度线的数目 self.m_axisY.setTickCount(self.m_count + 1) self.m_axisY.setRange(0, 100) self.addAxis(self.m_axisY, Qt.AlignLeft) self.m_series.attachAxis(self.m_axisY) # 填充11个初始点,注意x轴 需要转为秒的时间戳 self.m_series.append( [QPointF(now.addSecs(-i).toMSecsSinceEpoch(), 0) for i in range(self.m_count, -1, -1)]) # 定时器获取数据 self.m_timer = QTimer() self.m_timer.timeout.connect(self.update_data) self.m_timer.start(1000) def update_data(self): value = cpu_percent() now = QDateTime.currentDateTime() self.m_axisX.setRange(now.addSecs(-self.m_count), now) # 重新调整x轴的时间范围 # 获取原来的所有点,去掉第一个并追加新的一个 points = self.m_series.pointsVector() points.pop(0) points.append(QPointF(now.toMSecsSinceEpoch(), value)) # 替换法速度更快 self.m_series.replace(points)
def __init__(self, parent=None): super().__init__(QGraphicsScene(), parent) self.m_tooltip = None self.m_callouts = [] self.setDragMode(QGraphicsView.NoDrag) self.setVerticalScrollBarPolicy(Qt.ScrollBarAlwaysOff) self.setHorizontalScrollBarPolicy(Qt.ScrollBarAlwaysOff) # chart self.m_chart = QChart() self.m_chart.setMinimumSize(640, 480) self.m_chart.setTitle( "Hover the line to show callout. Click the line to make it stay" ) self.m_chart.legend().hide() series = QLineSeries() series.append(1, 3) series.append(4, 5) series.append(5, 4.5) series.append(7, 1) series.append(11, 2) self.m_chart.addSeries(series) series2 = QSplineSeries() series2.append(1.6, 1.4) series2.append(2.4, 3.5) series2.append(3.7, 2.5) series2.append(7, 4) series2.append(10, 2) self.m_chart.addSeries(series2) self.m_chart.createDefaultAxes() self.m_chart.setAcceptHoverEvents(True) self.setRenderHint(QPainter.Antialiasing) self.scene().addItem(self.m_chart) self.m_coordX = QGraphicsSimpleTextItem(self.m_chart) self.m_coordX.setPos( self.m_chart.size().width() / 2 - 50, self.m_chart.size().height() ) self.m_coordX.setText("X: ") self.m_coordY = QGraphicsSimpleTextItem(self.m_chart) self.m_coordY.setPos( self.m_chart.size().width() / 2 + 50, self.m_chart.size().height() ) self.m_coordY.setText("Y: ") series.clicked.connect(self.keepCallout) series.hovered.connect(self.tooltip) series2.clicked.connect(self.keepCallout) series2.hovered.connect(self.tooltip) self.setMouseTracking(True)
class Chart(QChart): def __init__(self): super(QChart, self).__init__() self.m_timer = QTimer() self.m_series = None self.m_titles = [] self.m_axis = QValueAxis() self.m_step = None self.m_x = 5 self.m_y = 1 random.seed(QTime.currentTime().msec()) self.m_timer.timeout.connect(self.handleTimeout) self.m_timer.setInterval(1000) self.m_series = QSplineSeries(self) green = QPen(Qt.green) green.setWidth(3) self.m_series.setPen(green) self.m_series.append(self.m_x, self.m_y) self.addSeries(self.m_series) self.createDefaultAxes() self.setAxisX(self.m_axis, self.m_series) self.m_axis.setTickCount(5) self.axisX().setRange(0, 10) self.axisY().setRange(-5, 10) self.m_timer.start() @pyqtSlot() def handleTimeout(self): x = self.plotArea().width() / self.m_axis.tickCount() y = (self.m_axis.max() - self.m_axis.min()) / self.m_axis.tickCount() self.m_x += y self.m_y = random.randint(0, 5) - 2.5 self.m_series.append(self.m_x, self.m_y) self.scroll(x, 0) if self.m_x is 100: self.m_timer.stop()
class DynamicSpline(QChart): def __init__(self): super().__init__() self.m_step = 0 self.m_x = 5 self.m_y = 1 # 初始化图像 self.series = QSplineSeries(self) green_pen = QPen(Qt.red) green_pen.setWidth(3) self.series.setPen(green_pen) self.axisX = QValueAxis() self.axisY = QValueAxis() self.series.append(self.m_x, self.m_y) self.addSeries(self.series) self.addAxis(self.axisX, Qt.AlignBottom) self.addAxis(self.axisY, Qt.AlignLeft) self.series.attachAxis(self.axisX) self.series.attachAxis(self.axisY) self.axisX.setTickCount(5) self.axisX.setRange(0, 10) self.axisY.setRange(-5, 10) self.timer = QTimer(self) self.timer.setInterval(1000) self.timer.timeout.connect(self.handleTimeout) self.timer.start() def handleTimeout(self): x = self.plotArea().width() / self.axisX.tickCount() y = (self.axisX.max() - self.axisX.min()) / self.axisX.tickCount() self.m_x += y # 在PyQt5.11.3及以上版本中,QRandomGenerator.global()被重命名为global_() self.m_y = QRandomGenerator.global_().bounded(5) - 2.5 self.series.append(self.m_x, self.m_y) self.scroll(x, 0) if self.m_x >= 100: self.timer.stop()
class BalanceHistoryChartView(QChartView): """ Chart that displays the balance between several dates from an account, token or whole portfolio """ def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs) self.chart = QChart() self.FIAT_CURRENCY = confighandler.get_fiat_currency() def setupChartWithData(self, selectiontype, name=None): """ Chart gets updated displaying new data. The data gets extracted from cbalancehistory, according to the selection Parameters: - selectiontype : in ('account','token','all') - name: str, corresponds to account/token on cbalancehistory """ self.chart = QChart() self.chart.setTheme(QChart.ChartThemeDark) self.chart.setAnimationOptions(QChart.SeriesAnimations) self.chart.setBackgroundBrush(QBrush(QColor('#19232d'))) # self.chart.setTitle("") # self.chart.setTitleBrush(QBrush(QColor('white'))) # Data # Get data if selectiontype == 'token': assert(name is not None) data = chistoricalbalances.get_balances_with_token_tuple(name) elif selectiontype == 'account': assert(name is not None) data = chistoricalbalances.get_balances_with_account_tuple(name) elif selectiontype == 'all': data = chistoricalbalances.get_balances_by_day_tuple() # Separate balance_btc from balance_fiat dates, balances_btc, balances_fiat = [], [], [] for date in data: dates.append(int(date)) balances_btc.append(data[date][0]) balances_fiat.append(data[date][1]) # Series self.btcseries = QSplineSeries() self.fiatseries = QSplineSeries() for date, balance_btc, balance_fiat in zip(dates, balances_btc, balances_fiat): date = datetime.fromtimestamp(date) date = datetime(date.year, date.month, date.day) dateQ = QDateTime(date).toMSecsSinceEpoch() self.btcseries.append(dateQ, balance_btc) self.fiatseries.append(dateQ, balance_fiat) # Append current point currentdate = QDateTime(datetime.today()).toMSecsSinceEpoch() if selectiontype == "all": # Append current balances self.btcseries.append(currentdate, cbalances.get_total_balance_all_accounts()) self.fiatseries.append(currentdate, cbalances.get_total_balance_all_accounts_fiat()) elif name != '': if selectiontype == "account": # Append current balances self.btcseries.append( currentdate, cbalances.get_total_account_balance(name)) self.fiatseries.append( currentdate, cbalances.get_total_account_balance_fiat(name)) elif selectiontype == "token": pass # Axis X (Dates) self.x_axis = QDateTimeAxis() self.x_axis.setTickCount(11) self.x_axis.setLabelsAngle(70) self.x_axis.setFormat("dd-MM-yy") self.x_axis.setTitleText(self.tr('Date')) # Axis Y (Balances) # BTC self.y_axis_btc = QValueAxis() if len(balances_btc) > 0: self.y_axis_btc.setMax(max(balances_btc)*1.1) self.y_axis_btc.setMin(min(balances_btc)*0.9) # Fiat self.y_axis_fiat = QValueAxis() if len(balances_fiat) > 0: self.y_axis_fiat.setMax(max(balances_fiat)*1.1) self.y_axis_fiat.setMin(min(balances_fiat)*0.9) self.chart.addAxis(self.y_axis_btc, Qt.AlignLeft) self.chart.addAxis(self.y_axis_fiat, Qt.AlignRight) self.chart.addAxis(self.x_axis, Qt.AlignBottom) # Add series to chart # BTC self.btcseries.setName("BTC") self.chart.addSeries(self.btcseries) self.btcseries.attachAxis(self.x_axis) self.btcseries.attachAxis(self.y_axis_btc) # Fiat self.fiatseries.setName(self.FIAT_CURRENCY.upper()) self.chart.addSeries(self.fiatseries) self.fiatseries.attachAxis(self.x_axis) self.fiatseries.attachAxis(self.y_axis_fiat) self.setChart(self.chart) self.setRenderHint(QPainter.Antialiasing) self.setStyleSheet("border: 0px")
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(200) def chart_init(self): self.chart = QChart() self.series = QSplineSeries() #设置曲线名称 self.series.setName("实时数据") #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 self.vlaxisY.setGridLineVisible(False) #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)
class MainWindow(QMainWindow, Ui_MainWindow): def __init__(self, weight_path, out_file_path, parent=None): super(MainWindow, self).__init__(parent) self.setupUi(self) self.setWindowTitle("VAT ROLL COMPARE LABEL TOOL" + " " + CODE_VER) self.showMaximized() '''按键绑定''' # 输入媒体 self.import_media_pushButton.clicked.connect(self.import_media) # 导入 self.start_predict_pushButton.clicked.connect( self.predict_button_click) # 开始推理 # 输出媒体 self.open_predict_file_pushButton.clicked.connect( self.open_file_in_browser) # 文件中显示推理视频 # 下方 self.play_pushButton.clicked.connect( self.play_pause_button_click) # 播放 self.pause_pushButton.clicked.connect( self.play_pause_button_click) # 暂停 self.button_dict = dict() self.button_dict.update({ "import_media_pushButton": self.import_media_pushButton, "start_predict_pushButton": self.start_predict_pushButton, "open_predict_file_pushButton": self.open_predict_file_pushButton, "play_pushButton": self.play_pushButton, "pause_pushButton": self.pause_pushButton, }) '''媒体流绑定输出''' self.input_player = QMediaPlayer() # 媒体输入的widget self.input_player.setVideoOutput(self.input_video_widget) self.input_player.positionChanged.connect( self.change_slide_bar) # 播放进度条 self.output_player = QMediaPlayer() # 媒体输出的widget self.output_player.setVideoOutput(self.output_video_widget) '''初始化GPU chart''' self.series = QSplineSeries() self.chart_init() '''初始化GPU定时查询定时器''' # 使用QTimer,0.5秒触发一次,更新数据 self.timer = QTimer(self) self.timer.timeout.connect(self.draw_gpu_info_chart) self.timer.start(500) # 播放时长, 以 input 的时长为准 self.video_length = 0 self.out_file_path = out_file_path # 推理使用另外一线程 self.predict_handler_thread = PredictHandlerThread( self.output_player, self.out_file_path, weight_path, self.predict_info_plainTextEdit, self.predict_progressBar, self.fps_label, self.button_dict) # 界面美化 self.gen_better_gui() def gen_better_gui(self): """ 美化界面 :return: """ # Play 按钮 play_icon = QIcon() play_icon.addPixmap(QPixmap("./UI/icon/play.png"), QIcon.Normal, QIcon.Off) self.play_pushButton.setIcon(play_icon) # Pause 按钮 play_icon = QIcon() play_icon.addPixmap(QPixmap("./UI/icon/pause.png"), QIcon.Normal, QIcon.Off) self.pause_pushButton.setIcon(play_icon) def chart_init(self): """ 初始化 GPU 折线图 :return: """ # self.gpu_info_chart._chart = QChart(title="折线图堆叠") # 创建折线视图 self.gpu_info_chart._chart = QChart() # 创建折线视图 # chart._chart.setBackgroundVisible(visible=False) # 背景色透明 self.gpu_info_chart._chart.setBackgroundBrush(QBrush( QColor("#FFFFFF"))) # 改变图背景色 # 设置曲线名称 self.series.setName("GPU Utilization") # 把曲线添加到QChart的实例中 self.gpu_info_chart._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(100) # 设置X轴时间样式 self.dtaxisX.setFormat("hh:mm:ss") # 设置坐标轴上的格点 self.dtaxisX.setTickCount(5) self.vlaxisY.setTickCount(10) # 设置坐标轴名称 self.dtaxisX.setTitleText("Time") self.vlaxisY.setTitleText("Percent") # 设置网格不显示 self.vlaxisY.setGridLineVisible(False) # 把坐标轴添加到chart中 self.gpu_info_chart._chart.addAxis(self.dtaxisX, Qt.AlignBottom) self.gpu_info_chart._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) # 生成 折线图 self.gpu_info_chart.setChart(self.gpu_info_chart._chart) def draw_gpu_info_chart(self): """ 绘制 GPU 折线图 :return: """ # 获取当前时间 time_current = 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 remove_count = 600 if self.series.count() > remove_count: self.series.removePoints(0, self.series.count() - remove_count) # 对 y 赋值 # yint = random.randint(0, 100) gpu_info = get_gpu_info() yint = gpu_info[0].get("gpu_load") # 添加数据到曲线末端 self.series.append(time_current.toMSecsSinceEpoch(), yint) def import_media(self): """ 导入媒体文件 :return: """ self.parameter_source = QFileDialog.getOpenFileUrl()[0] self.input_player.setMedia(QMediaContent( self.parameter_source)) # 选取视频文件 # 设置 output 为一张图片,防止资源被占用 path_current = str(Path.cwd().joinpath("area_dangerous\1.jpg")) self.output_player.setMedia( QMediaContent(QUrl.fromLocalFile(path_current))) # 将 QUrl 路径转为 本地路径str self.predict_handler_thread.parameter_source = self.parameter_source.toLocalFile( ) self.input_player.pause() # 显示媒体 image_flag = os.path.splitext( self.predict_handler_thread.parameter_source)[-1].lower( ) in img_formats for item, button in self.button_dict.items(): if image_flag and item in ['play_pushButton', 'pause_pushButton']: button.setEnabled(False) else: button.setEnabled(True) # self.output_player.setMedia(QMediaContent(QFileDialog.getOpenFileUrl()[0])) # 选取视频文件 def predict_button_click(self): """ 推理按钮 :return: """ # 启动线程去调用 self.predict_handler_thread.start() def change_slide_bar(self, position): """ 进度条移动 :param position: :return: """ self.video_length = self.input_player.duration() + 0.1 self.video_horizontalSlider.setValue( round((position / self.video_length) * 100)) self.video_percent_label.setText( str(round((position / self.video_length) * 100, 2)) + '%') @pyqtSlot() def play_pause_button_click(self): """ 播放、暂停按钮回调事件 :return: """ name = self.sender().objectName() if self.parameter_source == "": return if name == "play_pushButton": print("play") self.input_player.play() self.output_player.play() elif name == "pause_pushButton": self.input_player.pause() self.output_player.pause() @pyqtSlot() def open_file_in_browser(self): os.system(f"start explorer {self.out_file_path}") @pyqtSlot() def closeEvent(self, *args, **kwargs): """ 重写关闭事件 :param args: :param kwargs: :return: """ print("Close")
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) series3.append(ANGULAR_MIN + ad * 3, RADIAL_MIN + rd) series3.append(ANGULAR_MIN + ad * 4, RADIAL_MAX) series3.append(ANGULAR_MIN + ad * 5, RADIAL_MIN + rd) series3.append(ANGULAR_MIN + ad * 6, RADIAL_MAX) series3.append(ANGULAR_MIN + ad * 7, RADIAL_MIN + rd) series3.append(ANGULAR_MIN + ad * 8, RADIAL_MAX)
class TotalEquityChartView(QChartView): """ Chart that displays the balance between several dates from an account, token or whole portfolio """ def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs) self.chart = QChart() def setupChartWithData(self, data, linecolor='#422F8A'): """ Chart gets updated displaying the new data. Data has to be expressed on a dictionary form: - keys are timestamps - values are total balance for that timestamp """ self.chart = QChart() self.chart.setTheme(QChart.ChartThemeDark) self.chart.setAnimationOptions(QChart.SeriesAnimations) self.chart.setBackgroundBrush(QBrush(QColor("transparent"))) # self.chart.setTitle("") # self.chart.setTitleBrush(QBrush(QColor('white'))) # Axis X (Dates) self.x_axis = QDateTimeAxis() self.x_axis.setTickCount(11) self.x_axis.setLabelsAngle(70) font = QFont() font.setFamily('Roboto') font.setLetterSpacing(QFont.PercentageSpacing, 110) font.setPointSize(8) self.x_axis.setLabelsFont(font) self.x_axis.setFormat("dd-MM-yy") self.x_axis.setTitleText(self.tr('Date')) self.x_axis.setTitleVisible(False) self.x_axis.setLineVisible(False) self.x_axis.setGridLineVisible(False) # Axis Y (Balances) self.y_axis = QValueAxis() if data != {}: self.y_axis.setMax(max(data.values()) * 1.05) self.y_axis.setMin(min(data.values()) * 0.95) # self.y_axis.setMinorGridLineVisible(False) self.y_axis.setLineVisible(False) self.y_axis.setGridLineColor(QColor("#ECE9F1")) self.chart.addAxis(self.y_axis, Qt.AlignLeft) self.chart.addAxis(self.x_axis, Qt.AlignBottom) # Series self.btcseries = QSplineSeries() for date in data: balance = data[date] date = QDateTime(datetime.fromtimestamp(int(float(date)))) self.btcseries.append(date.toMSecsSinceEpoch(), balance) self.btcseries.setName("BTC") pen = QPen(QColor(linecolor)) pen.setWidth(3) self.btcseries.setPen(pen) # Series functionality self.btcseries.hovered.connect(self.selectPoint) self.chart.addSeries(self.btcseries) self.btcseries.attachAxis(self.x_axis) self.btcseries.attachAxis(self.y_axis) self.setChart(self.chart) self.setRenderHint(QPainter.Antialiasing) self.setStyleSheet("border: 0px; background-color: rgba(0,0,0,0); ") self.chart.legend().hide() def selectPoint(self, point, state): """ Shows point where mouse is hovered """ self.chart.setTitle( f"{int(point.y())} {confighandler.get_fiat_currency().upper()}")