def __init__(self, parent=None):
super(TestChart, self).__init__(parent)
self.xRange = 800
self.sampleRate = 5
self.counter = 0
self.seriesList = []
self.legend().show()
self.axisX = QValueAxis()
self.axisX.setRange(0, self.xRange)
self.addAxis(self.axisX, Qt.AlignBottom)
# self.setAxisX(self.axisX, series)
self.axisY = QValueAxis()
self.axisY.setRange(-1, 1)
self.addAxis(self.axisY, Qt.AlignLeft)
# self.setAxisY(self.axisY, series)
for i in range(24):
series = QLineSeries()
series.setName("Series" + str(i))
series.setUseOpenGL(True)
self.addSeries(series)
self.seriesList.append(series)
series.attachAxis(self.axisX)
series.attachAxis(self.axisY)
def add_new_data(self, data: dict):
self.x += self.time.msec()
self.time.start()
if self.x > 10000:
self.ax.setRange(self.x - 10000, self.x)
for key in data:
try:
value = float(data[key])
except ValueError:
continue
if value > self.ymax:
self.ymax = value
self.ay.setRange(self.ymin, self.ymax)
elif value < self.ymin:
self.ymin = value
self.ay.setRange(self.ymin, self.ymax)
if key in self.lines:
if self.lines[key].__len__() >= 32:
# self.lines[key].replace(0,self.x, value)
self.lines[key].remove(0)
# else:
self.lines[key].append(self.x, value)
else:
# ls = QSplineSeries(self)
ls = QLineSeries(self)
ls.append(self.x, value)
ls.setColor(
QColor(random.randint(0, 255), random.randint(0, 255),
random.randint(0, 255)))
ls.setName(key)
self.chart().addSeries(ls)
self.chart().setAxisX(self.ax, ls)
self.chart().setAxisY(self.ay, ls)
self.lines[key] = ls
def __init__(self, number: int, parent=None):
super(QWidget, self).__init__(parent)
self.layout = QVBoxLayout(self)
self.chart = QChart()
self.chartView = QChartView(self.chart)
self.chartView.setRenderHint(QPainter.Antialiasing) # 抗锯齿
self.layout.addWidget(self.chartView)
self.channelNumber = number
for index in range(self.channelNumber):
tmp = QLineSeries()
tmp.setName("channel "+str(index))
self.chart.addSeries(tmp)
self.chart.createDefaultAxes()
self.chart.axisX().setRange(0, 25)
self.chart.axisX().setTitleText("AAA")
self.chart.axisY().setRange(0, 25)
self.chart.axisY().setTitleText("BBB")
# 标题
self.chart.setTitle("XXX XXX XXX")
# 指示颜色所代表的内容
# self.chart.legend().hide()
# 动画效果
self.chart.setAnimationOptions(QChart.AllAnimations)
def start_record(self):
self.chart.removeAllSeries()
self.series = []
try:
for port in self.ports:
udp = UdpServer(port)
udp.start()
self.udpthreads.append(udp)
series = QLineSeries()
series.setName(str(port))
self.chart.addSeries(series)
finally:
pass
if not self.chkMode.isChecked():
series = QLineSeries()
series.setName("Total")
self.chart.addSeries(series)
self.chart.createDefaultAxes()
axis_x = self.chart.axisX()
axis_x.setRange(0, self.axis_x_val)
axis_x.setLabelFormat("%g")
axis_x.setTitleText("Time / " + self.axis_x_unit_str[self.axis_x_unit])
axis_y = self.chart.axisY()
axis_y.setRange(0, self.axis_y_val)
axis_y.setLabelFormat("%g")
axis_y.setTitleText("Bitrate / " +
self.axis_y_unit_str[self.axis_y_unit])
self.timer.start(self.axis_x_step * 1000)
def __init__(self, parent=None):
super().__init__(parent)
self.setWindowTitle("Demo12_1, QChart 基本绘图")
self.resize(580, 420)
chart = QChart()
chart.setTitle("简单函数曲线")
chartView = QChartView(self)
chartView.setChart(chart)
self.setCentralWidget(chartView)
series0 = QLineSeries()
series1 = QLineSeries()
series0.setName("sin曲线")
series1.setName("cos曲线")
chart.addSeries(series0)
chart.addSeries(series1)
t = 0
intv = 0.1
pointCount = 100
for i in range(pointCount):
y1 = math.cos(t)
series0.append(t, y1)
y2 = 1.5 * math.sin(t + 20)
series1.append(t, y2)
t = t + intv
axisX = QValueAxis()
axisX.setRange(0, 10)
axisX.setTitleText("time(secs)")
axisY = QValueAxis()
axisY.setRange(-2, 2)
axisY.setTitleText("value")
chart.setAxisX(axisX, series0)
chart.setAxisY(axisY, series0)
chart.setAxisX(axisX, series1)
chart.setAxisY(axisY, series1)
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)
def __init__(self, spec):
super().__init__(None)
self.spec = spec
self.chart = QChart()
# self.chart.setTitle(str(self.spec.variables))
# self.chart.legend().hide()
for i in range(len(self.spec.variables)):
series = QLineSeries()
series.setColor(
QColor(
self.spec.colors[i][0],
self.spec.colors[i][1],
self.spec.colors[i][2],
))
series.setName(self.spec.variables[i])
self.chart.addSeries(series)
self.setMinimumWidth(400)
self.setMinimumHeight(230)
self.setChart(self.chart)
self.setRenderHint(QPainter.Antialiasing)
self.chart.createDefaultAxes()
self.autoscale_y_axis = True
if self.spec.min_y and self.spec.max_y:
self.autoscale_y_axis = False
self.chart.axes()[1].setRange(self.spec.min_y, self.spec.max_y)
self._updates_per_second = 60
self._data = []
self._min = 0
self._max = 0
def initChart(self, NumSection, Alltime, PlotData, name):
self._chart = QChart(title=name)
self._chart.setAcceptHoverEvents(True)
# Series动画
self._chart.setAnimationOptions(QChart.SeriesAnimations)
# dataTable = [
# ["邮件营销", [120, 132, 101, 134, 90, 230]],
# ["联盟广告", [220, 182, 191, 234, 290, 330, 310]],
# ["视频广告", [150, 232, 201, 154, 190, 330, 410]],
# ["直接访问", [320, 332, 301, 334, 390, 330, 320]],
# ["搜索引擎", [820, 932, 901, 934, 1290, 1330, 1320]]
# ]
for series_name, data_list, label_list in PlotData:
series = QLineSeries(self._chart)
for j, v in zip(label_list, data_list):
series.append(j, v)
series.setName(series_name)
series.setPointsVisible(True) # 显示圆点
series.hovered.connect(self.handleSeriesHoverd) # 鼠标悬停
self._chart.addSeries(series)
self._chart.createDefaultAxes() # 创建默认的轴
axisX = self._chart.axisX() # x轴
axisX.setTickCount(Alltime) # x轴设置7个刻度
axisX.setGridLineVisible(False) # 隐藏从x轴往上的线条
axisY = self._chart.axisY()
axisY.setTickCount(NumSection) # y轴设置7个刻度
axisY.setRange(0, NumSection) # 设置y轴范围
# 自定义x轴
axis_x = QCategoryAxis(
self._chart,
labelsPosition=QCategoryAxis.AxisLabelsPositionOnValue)
axis_x.setTickCount(Alltime + 1)
axis_x.setGridLineVisible(False)
min_x = axisX.min()
for i in range(0, Alltime + 1):
axis_x.append(str(i), min_x + i)
self._chart.setAxisX(axis_x, self._chart.series()[-1])
# 自定义y轴
axis_y = QCategoryAxis(
self._chart, labelsPosition=QCategoryAxis.AxisLabelsPositionCenter)
axis_y.setTickCount(NumSection)
axis_y.setRange(0, NumSection)
for i in range(0, NumSection + 1):
axis_y.append('section%i' % (NumSection - i + 1), i)
self._chart.setAxisY(axis_y, self._chart.series()[-1])
# chart的图例
legend = self._chart.legend()
# 设置图例由Series来决定样式
legend.setMarkerShape(QLegend.MarkerShapeFromSeries)
# 遍历图例上的标记并绑定信号
for marker in legend.markers():
# 点击事件
marker.clicked.connect(self.handleMarkerClicked)
# 鼠标悬停事件
marker.hovered.connect(self.handleMarkerHovered)
self.setChart(self._chart)
def __init__(self, parent=None):
super(TableWidget, self).__init__(parent)
# Create a simple model for storing data.
model = CustomTableModel()
# Create the table view and add the model to it.
tableView = QTableView()
tableView.setModel(model)
tableView.horizontalHeader().setSectionResizeMode(QHeaderView.Stretch)
tableView.verticalHeader().setSectionResizeMode(QHeaderView.Stretch)
chart = QChart()
chart.setAnimationOptions(QChart.AllAnimations)
# Series 1.
series = QLineSeries()
series.setName("Line 1")
mapper = QVXYModelMapper(self)
mapper.setXColumn(0)
mapper.setYColumn(1)
mapper.setSeries(series)
mapper.setModel(model)
chart.addSeries(series)
# Get the color of the series and use it for showing the mapped area.
seriesColorHex = self._series_color(series)
model.addMapping(seriesColorHex, QRect(0, 0, 2, model.rowCount()))
# Series 2.
series = QLineSeries()
series.setName("Line 2")
mapper = QVXYModelMapper(self)
mapper.setXColumn(2)
mapper.setYColumn(3)
mapper.setSeries(series)
mapper.setModel(model)
chart.addSeries(series)
# Get the color of the series and use it for showing the mapped area.
seriesColorHex = self._series_color(series)
model.addMapping(seriesColorHex, QRect(2, 0, 2, model.rowCount()))
chart.createDefaultAxes()
chartView = QChartView(chart)
chartView.setRenderHint(QPainter.Antialiasing)
chartView.setMinimumSize(640, 480)
# Create the main layout.
mainLayout = QGridLayout()
mainLayout.addWidget(tableView, 1, 0)
mainLayout.addWidget(chartView, 1, 1)
mainLayout.setColumnStretch(1, 1)
mainLayout.setColumnStretch(0, 0)
self.setLayout(mainLayout)
def __init__(self, window):
super().__init__()
self.windowWidget = window
self.repaintChartEvent.connect(self.repaint_chart)
self.lambda_value = 0.2
self.beta_value = 3
self.mu_value = 0.8
grid = QGridLayout()
self.setLayout(grid)
self.table = MyQtTable.MyQtTable(1, 1)
self.table.setFixedWidth(150)
grid.addWidget(self.table, 1, 0, -1, 1)
series = QLineSeries()
series.setName("Values time series")
self.chart_view = MyQtChart.MyChartView(series,
"Chart",
"Time",
"Value",
minimumSize=QSize(800, 650))
grid.addWidget(self.chart_view, 2, 1, 1, -1)
self.table.newTableDataEvent.connect(self.update_chart)
lambdaValueLabel = QLabel("λ=%.2f" % self.lambda_value)
grid.addWidget(lambdaValueLabel, 1, 1)
self.lambdaValueLabel = lambdaValueLabel
qslider = QSlider(Qt.Horizontal)
qslider.setMinimum(0)
qslider.setMaximum(100)
qslider.setValue(self.lambda_value * 100)
qslider.valueChanged.connect(self.on_lambda_changed)
qslider.sliderMoved.connect(
lambda v: lambdaValueLabel.setText("λ=%.2f" % (v / 100)))
qslider.setTracking(False)
grid.addWidget(qslider, 1, 2)
grid.addWidget(QLabel("μ="), 1, 3)
muEdit = QDoubleSpinBox()
muEdit.setValue(self.mu_value)
muEdit.setSingleStep(0.1)
grid.addWidget(muEdit, 1, 4)
muEdit.valueChanged.connect(self.on_mu_changed)
grid.addWidget(QLabel("β="), 1, 5)
betaEdit = QDoubleSpinBox()
betaEdit.setValue(self.beta_value)
betaEdit.setSingleStep(0.1)
grid.addWidget(betaEdit, 1, 6)
betaEdit.valueChanged.connect(self.on_beta_changed)
def initChart(self):
self._chart = QChart(title="农业大棚数据监测曲线")
self._chart.setAcceptHoverEvents(True)
# Series动画
self._chart.setAnimationOptions(QChart.SeriesAnimations)
dataTable = [["大棚湿度", []], ["大棚温度", []], ["大棚二氧化碳浓度", []]]
data = pd.read_csv("data/data.csv")
list = data.values.tolist()
for i in range(30):
dataTable[0][1].append(list[i * 60][3])
dataTable[1][1].append(list[i * 60][4])
dataTable[2][1].append(list[i * 60][5])
# dataTable = [
# ["邮件营销", [120, 132, 101, 134, 90, 230, 210]],
# ["直接访问", [320, 332, 301, 334, 390, 330, 320]],
# ["搜索引擎", [820, 932, 901, 934, 1290, 1330, 1320]]
# ]
for series_name, data_list in dataTable:
series = QLineSeries(self._chart)
for j, v in enumerate(data_list):
series.append(j, v)
series.setName(series_name)
series.setPointsVisible(True) # 显示圆点
series.hovered.connect(self.handleSeriesHoverd) # 鼠标悬停
self._chart.addSeries(series)
self._chart.createDefaultAxes() # 创建默认的轴
axisX = self._chart.axisX() # x轴
axisX.setTickCount(30) # x轴设置30个刻度
axisX.setGridLineVisible(False) # 隐藏从x轴往上的线条
axisY = self._chart.axisY()
axisY.setTickCount(10) # y轴设置10个刻度
axisY.setRange(0, 100) # 设置y轴范围
# 自定义x轴
axis_x = QCategoryAxis(
self._chart,
labelsPosition=QCategoryAxis.AxisLabelsPositionOnValue)
axis_x.setTickCount(30)
axis_x.setGridLineVisible(False)
min_x = axisX.min()
max_x = axisX.max()
step = (max_x - min_x) / (30 - 1) # 7个tick
for i in range(0, 30):
axis_x.append(self.category[i], min_x + i * step)
self._chart.setAxisX(axis_x, self._chart.series()[-1])
# chart的图例
legend = self._chart.legend()
# 设置图例由Series来决定样式
legend.setMarkerShape(QLegend.MarkerShapeFromSeries)
# 遍历图例上的标记并绑定信号
for marker in legend.markers():
# 点击事件
marker.clicked.connect(self.handleMarkerClicked)
# 鼠标悬停事件
marker.hovered.connect(self.handleMarkerHovered)
self.setChart(self._chart)
def add_series(self, x_list, y_list, name):
series = QLineSeries()
series.setName(name)
for x, y in zip(x_list, y_list):
series.append(x, y)
self.model.addSeries(series)
self.model.createDefaultAxes()
def __createChart(self):
self.__chart = QChart()
self.__chart.setTitle("简单函数曲线")
self.ui.chartView.setChart(self.__chart)
self.ui.chartView.setRenderHint(QPainter.Antialiasing)
series0 = QLineSeries()
series0.setName("Sin曲线")
series1 = QLineSeries()
series1.setName("Cos曲线")
self.__curSeries=series0 #当前序列
pen=QPen(Qt.red)
pen.setStyle(Qt.DotLine) #SolidLine, DashLine, DotLine, DashDotLine
pen.setWidth(2)
series0.setPen(pen) #序列的线条设置
pen.setStyle(Qt.SolidLine) #SolidLine, DashLine, DotLine, DashDotLine
pen.setColor(Qt.blue)
series1.setPen(pen) #序列的线条设置
self.__chart.addSeries(series0)
self.__chart.addSeries(series1)
axisX = QValueAxis()
self.__curAxis=axisX #当前坐标轴
axisX.setRange(0, 10) #设置坐标轴范围
axisX.setLabelFormat("%.1f") #标签格式
axisX.setTickCount(11) #主分隔个数
axisX.setMinorTickCount(4)
axisX.setTitleText("time(secs)") #标题
axisX.setGridLineVisible(True)
axisX.setMinorGridLineVisible(False)
axisY = QValueAxis()
axisY.setRange(-2, 2)
axisY.setLabelFormat("%.2f") #标签格式
axisY.setTickCount(5)
axisY.setMinorTickCount(4)
axisY.setTitleText("value")
axisY.setGridLineVisible(True)
axisY.setMinorGridLineVisible(False)
## self.__chart.setAxisX(axisX, series0) #添加X坐标轴
## self.__chart.setAxisX(axisX, series1) #添加X坐标轴
## self.__chart.setAxisY(axisY, series0) #添加Y坐标轴
## self.__chart.setAxisY(axisY, series1) #添加Y坐标轴
##另一种实现设置坐标轴的方法
self.__chart.addAxis(axisX,Qt.AlignBottom) #坐标轴添加到图表，并指定方向
self.__chart.addAxis(axisY,Qt.AlignLeft)
series0.attachAxis(axisX) #序列 series0 附加坐标轴
series0.attachAxis(axisY)
series1.attachAxis(axisX) #序列 series1 附加坐标轴
series1.attachAxis(axisY)
def getChart(title):
chart = QChart(title=title)
for i, data_list in enumerate(m_dataTable):
series = QLineSeries(chart)
for value, _ in data_list:
series.append(*value)
series.setName("Series " + str(i))
chart.addSeries(series)
chart.createDefaultAxes() # 创建默认的轴
return chart
def __init__(self, parent=None):
super().__init__(parent)
self.setWindowTitle("Demo12_1, QChart基本绘图")
self.resize(580, 420)
#创建chart和chartView
chart = QChart() #创建 Chart
chart.setTitle("简单函数曲线")
chartView = QChartView(self) #创建 ChartView
chartView.setChart(chart) #Chart添加到ChartView
self.setCentralWidget(chartView)
#创建曲线序列
series0 = QLineSeries()
series1 = QLineSeries()
series0.setName("Sin曲线")
series1.setName("Cos曲线")
chart.addSeries(series0) #序列添加到图表
chart.addSeries(series1)
#序列添加数值
t = 0
intv = 0.1
pointCount = 100
for i in range(pointCount):
y1 = math.cos(t)
series0.append(t, y1)
y2 = 1.5 * math.sin(t + 20)
series1.append(t, y2)
t = t + intv
##创建坐标轴
axisX = QValueAxis() #X 轴
axisX.setRange(0, 10) #设置坐标轴范围
axisX.setTitleText("time(secs)") #标题
## axisX.setLabelFormat("%.1f") #标签格式
## axisX.setTickCount(11) #主分隔个数
## axisX.setMinorTickCount(4)
## axisX.setGridLineVisible(false)
axisY = QValueAxis() #Y 轴
axisY.setRange(-2, 2)
axisY.setTitleText("value")
## axisY.setTickCount(5)
## axisY.setMinorTickCount(4)
## axisY.setLabelFormat("%.2f") #标签格式
## axisY.setGridLineVisible(false)
#为序列设置坐标轴
chart.setAxisX(axisX, series0) #为序列设置坐标轴
chart.setAxisY(axisY, series0)
chart.setAxisX(axisX, series1) #为序列设置坐标轴
chart.setAxisY(axisY, series1)
def on_run_pb_clicked(self):
self.chart.removeAllSeries()
min_function = 421.0
ga_answer = 0.0
correct = 0
incorrect = 0
ga = Ga(self.population_sb.value(), self.crossover_dsb.value(),
self.mutation_dsb.value(), self.generation_sb.value(),
self.elitism_cb.isChecked())
progress_dialog = QProgressDialog('Repetitions...', 'Cancel', 0,
self.repetitions_sb.value(),
self.window)
progress_dialog.setWindowModality(Qt.WindowModal)
ga_output = ()
for i in range(self.repetitions_sb.value()):
ga_output = ga.run_generation()
ga_answer = ga_output[0]
if ga_answer == min_function:
correct += 1
else:
incorrect += 1
progress_dialog.setValue(i)
if progress_dialog.wasCanceled():
break
progress_dialog.setValue(self.repetitions_sb.value())
if self.single_run_rb.isChecked():
self.x_result_l.setText(str(ga_answer))
self.fx_l.setText('{0:.2f}'.format(ga.calc_function(ga_answer)))
if ga_answer == min_function:
self.icon_result_l.setPixmap('correct-icon.png')
else:
self.icon_result_l.setPixmap('incorrect-icon.png')
# Graph
series_1 = QLineSeries()
series_1.setName('Average Fit')
series_2 = QLineSeries()
series_2.setName('Best Fit')
for i in range(len(ga_output[1])):
series_1.append(ga_output[1][i], ga_output[2][i])
series_2.append(ga_output[1][i], ga_output[3][i])
self.chart.addSeries(series_1)
self.chart.addSeries(series_2)
self.chart.createDefaultAxes()
else:
self.correct_results_l.setText(str(correct))
self.incorrect_results_l.setText(str(incorrect))
def createSeries(self, dataArray):
series = QLineSeries()
for i in range(len(dataArray)):
value = QPointF(i, dataArray[i][0])
series.append(value)
series.setColor(QColor(0, 255, 0))
self.removeSeries()
series.setName("灰度图")
self.qchart.addSeries(series)
self.lastSeries = series
def __drawComparisonChart(self):
self.__comparison_chart.removeAllSeries()
series1 = QLineSeries(self)
series2 = QLineSeries(self)
series1.setName("Оптимальный")
series2.setName("Другой")
[(series1.append(i[0], i[1]), series2.append(i[0], i[2]))
for i in self.__values]
self.__comparison_chart.addSeries(series1)
self.__comparison_chart.addSeries(series2)
self.__comparison_chart.createDefaultAxes()
class ChartView(QChartView):
def __init__(self):
QChartView.__init__(self)
#self.resize(300, 300)
self.setRenderHint(QPainter.Antialiasing) # 抗锯齿
self.chart = QChart()
self.seriesAcc = QLineSeries()
self.seriesAcc.setName(CONF.leftUpNames[0])
self.chart.addSeries(self.seriesAcc)
#声明并初始化X轴，Y轴
self.dtaxisX = QValueAxis()
self.vlaxisY = QValueAxis()
#设置坐标轴显示范围
self.dtaxisX.setMin(0)
#self.dtaxisX.setMax(100)
self.vlaxisY.setMin(0)
#self.vlaxisY.setMax(100)
self.dtaxisX.setTickCount(3)
self.vlaxisY.setTickCount(3)
#设置坐标轴名称
self.dtaxisX.setTitleText(CONF.leftUpNames[1])
self.vlaxisY.setTitleText(CONF.leftUpNames[2])
#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)
self.seriesAcc.attachAxis(self.dtaxisX)
self.seriesAcc.attachAxis(self.vlaxisY)
self.initUI()
def initUI(self):
self.backend = BackendThread()
self.backend.update_line.connect(self.handleLine)
self.backend.start()
def handleLine(self, data):
if data[0] == 0:
self.seriesAcc.clear()
else:
self.dtaxisX.setMax(data[0])
self.vlaxisY.setMax(data[0])
self.seriesAcc.clear()
self.seriesAcc.append(0, 0)
self.seriesAcc.append(data[0], data[1])
self.setChart(self.chart)
def add_data(self, xdata, ydata, color=None, legend_text=None):
curve = QLineSeries()
pen = curve.pen()
if color is not None:
pen.setColor(color)
pen.setWidthF(1.5)
curve.setPen(pen)
# curve.setPointsVisible(True)
# curve.setUseOpenGL(True)
self.total_samples = max(self.total_samples, len(xdata))
# Decimate
xdecimated, ydecimated = self.decimate(xdata, ydata)
# Data must be in ms since epoch
# curve.append(self.series_to_polyline(xdecimated * 1000.0, ydecimated))
# self.reftime = datetime.datetime.fromtimestamp(xdecimated[0])
# if len(xdecimated) > 0:
# xdecimated = xdecimated - xdecimated[0]
xdecimated *= 1000 # No decimal expected
points = []
for i, _ in enumerate(xdecimated):
# TODO hack
# curve.append(QPointF(xdecimated[i], ydecimated[i]))
points.append(QPointF(xdecimated[i], ydecimated[i]))
curve.replace(points)
points.clear()
if legend_text is not None:
curve.setName(legend_text)
# Needed for mouse events on series
self.chart.setAcceptHoverEvents(True)
self.xvalues[self.ncurves] = np.array(xdecimated)
# connect signals / slots
# curve.clicked.connect(self.lineseries_clicked)
# curve.hovered.connect(self.lineseries_hovered)
# Add series
self.chart.addSeries(curve)
self.ncurves += 1
self.update_axes()
def initChart(self):
self._chart = QChart(title="折线图堆叠")
self._chart.setAcceptHoverEvents(True)
# Series动画
self._chart.setAnimationOptions(QChart.SeriesAnimations)
dataTable = [["邮件营销", [120, 132, 101, 134, 90, 230, 210]],
["联盟广告", [220, 182, 191, 234, 290, 330, 310]],
["视频广告", [150, 232, 201, 154, 190, 330, 410]],
["直接访问", [320, 332, 301, 334, 390, 330, 320]],
["搜索引擎", [820, 932, 901, 934, 1290, 1330, 1320]]]
for series_name, data_list in dataTable:
series = QLineSeries(self._chart)
for j, v in enumerate(data_list):
series.append(j, v)
series.setName(series_name)
series.setPointsVisible(True) # 显示圆点
series.hovered.connect(self.handleSeriesHoverd) # 鼠标悬停
self._chart.addSeries(series)
self._chart.createDefaultAxes() # 创建默认的轴
axisX = self._chart.axisX() # x轴
axisX.setTickCount(7) # x轴设置7个刻度
axisX.setGridLineVisible(False) # 隐藏从x轴往上的线条
axisY = self._chart.axisY()
axisY.setTickCount(7) # y轴设置7个刻度
axisY.setRange(0, 1500) # 设置y轴范围
# 自定义x轴
axis_x = QCategoryAxis(
self._chart,
labelsPosition=QCategoryAxis.AxisLabelsPositionOnValue)
axis_x.setTickCount(7)
axis_x.setGridLineVisible(False)
min_x = axisX.min()
max_x = axisX.max()
step = (max_x - min_x) / (7 - 1) # 7个tick
for i in range(0, 7):
axis_x.append(self.category[i], min_x + i * step)
self._chart.setAxisX(axis_x, self._chart.series()[-1])
# self._chart.addAxis(axis_x, Qt.AlignBottom)
# chart的图例
legend = self._chart.legend()
# 设置图例由Series来决定样式
legend.setMarkerShape(QLegend.MarkerShapeFromSeries)
# 遍历图例上的标记并绑定信号
for marker in legend.markers():
# 点击事件
marker.clicked.connect(self.handleMarkerClicked)
# 鼠标悬停事件
marker.hovered.connect(self.handleMarkerHovered)
self.setChart(self._chart)
def createLineChart(self):
chart = QChart()
chart.setTitle("Line chart")
for i, data_list in enumerate(self.m_dataTable):
series = QLineSeries(chart)
for value, _ in data_list:
series.append(value)
series.setName("Series " + str(i))
chart.addSeries(series)
chart.createDefaultAxes()
return chart
def add_data(self, data, chart, color=None):
curve = QLineSeries(chart)
curve.setName("latency")
pen = curve.pen()
if color is not None:
pen.setColor(color)
pen.setWidthF(1)
curve.setPen(pen)
curve.setUseOpenGL(True)
for x in data:
curve.append(x[0], x[1])
# curve.append(series_to_polyline(xdata, ydata))
chart.addSeries(curve)
chart.createDefaultAxes()
return curve
def createLineChart(self):
chart = QChart()
chart.setTitle("Line chart")
for i, data_list in enumerate(self.m_dataTable):
series = QLineSeries(chart)
for value, _ in data_list:
series.append(value)
series.setName("Series " + str(i))
chart.addSeries(series)
chart.createDefaultAxes()
return chart
def XLineSeries(data_dict, key_order=None, xkey = None, openGL=False):
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 = QLineSeries(); 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 rewrite_data(self, args):
self.layout = QVBoxLayout()
self.grid.addLayout(self.layout, 0, 0, 1, 1)
for key, value in self.data[args].items():
chart = QChart()
chart_view = QChartView(chart)
series = QLineSeries()
series.setName(key)
for i in value:
series.append(QPointF(i[0], i[1]))
chart.addSeries(series)
chart.createDefaultAxes()
self.layout.addWidget(chart_view)
def create_series(self, dataTable, chart):
# 创建折线的函数
for i, data_list in enumerate(dataTable): # [index,[list]]
# 创建曲线
series = QLineSeries(chart._chart)
# 设置折线名
series.setName(data_list[0])
for j, v in enumerate(data_list[1:]):
# 添加折线和对应的坐标点
series.append(j, v)
series.setPointsVisible(True) # 显示原点
# 鼠标悬停连接事件
series.hovered.connect(self.onSeriesHoverd)
chart._chart.addSeries(series) # 添加折线到视图窗口
return chart._chart
def addSeries(
self, _x2idx: typing.Dict, _idx2x: list, _chart: QChart,
_axis_x: QValueAxis, _axis_y: QValueAxis
):
series = QLineSeries()
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 __getSerie(self, serie=None):
if not serie or not isinstance(serie, dict):
return None
types = serie.get("type", "") or ""
data = serie.get("data", []) or []
if not data or not isinstance(data, list):
return None
if types == "line":
_series = QLineSeries(self._chart)
else:
return None
# 设置series名字
_series.setName(serie.get("name", "") or "")
# 添加数据到series中
for index, value in enumerate(data):
# 保证vlaue必须是数字
_series.append(index, value if type(value) in (int, float) else 0)
return _series
def __drawBode(self):
self.chart.removeAllSeries() #删除所有序列
## 创建序列
pen = QPen(Qt.red)
pen.setWidth(2)
seriesMag = QLineSeries() #幅频曲线序列
seriesMag.setName("幅频曲线")
seriesMag.setPen(pen)
seriesMag.setPointsVisible(False)
seriesMag.hovered.connect(self.do_seriesMag_hovered)
seriesPhase = QLineSeries() #相频曲线序列
pen.setColor(Qt.blue)
seriesPhase.setName("相频曲线")
seriesPhase.setPen(pen)
seriesPhase.setPointsVisible(True)
seriesPhase.hovered.connect(self.do_seriesPhase_hovered)
## 为序列添加数据点
count = len(self.__vectW) #数据点数
for i in range(count):
seriesMag.append(self.__vectW[i], self.__vectMag[i])
seriesPhase.append(self.__vectW[i], self.__VectPhase[i])
##设置坐标轴范围
minMag = min(self.__vectMag)
maxMag = max(self.__vectMag)
minPh = min(self.__VectPhase)
maxPh = max(self.__VectPhase)
self.__axisMag.setRange(minMag, maxMag)
self.__axisPhase.setRange(minPh, maxPh)
##序列添加到chart，并指定坐标轴
self.chart.addSeries(seriesMag)
seriesMag.attachAxis(self.__axisFreq)
seriesMag.attachAxis(self.__axisMag)
self.chart.addSeries(seriesPhase)
seriesPhase.attachAxis(self.__axisFreq)
seriesPhase.attachAxis(self.__axisPhase)
for marker in self.chart.legend().markers(): #QLegendMarker类型列表
marker.clicked.connect(self.do_LegendMarkerClicked)
class PeersCountGraphView(BaseTimedGraph):
peersCountFetched = AsyncSignal(int)
def __init__(self, parent=None):
super(PeersCountGraphView, self).__init__(parent=parent)
self.setObjectName('PeersCountGraph')
self.peersCountFetched.connectTo(self.onPeersCount)
self.axisY.setTitleText(iPeers())
pen = QPen(QColor('#60cccf'))
pen.setWidth(2)
self.seriesPeers = QLineSeries()
self.seriesPeers.setName('Peers')
self.seriesPeers.setPen(pen)
self.chart.addSeries(self.seriesPeers)
self.seriesPeers.attachAxis(self.axisX)
self.seriesPeers.attachAxis(self.axisY)
self.setChart(self.chart)
async def onPeersCount(self, count):
dtNow = QDateTime.currentDateTime()
dtMsecs = dtNow.toMSecsSinceEpoch()
delta = 120 * 1000
if not self.seriesPurgedT or (dtMsecs - self.seriesPurgedT) > delta:
self.removeOldSeries(self.seriesPeers, dtMsecs - delta)
self.seriesPurgedT = dtMsecs
peersVector = self.seriesPeers.pointsVector()
values = [p.y() for p in peersVector]
if values:
self.axisY.setMax(max(values) + 10)
self.axisY.setMin(min(values) - 10)
dateMin = QDateTime.fromMSecsSinceEpoch(dtMsecs - (30 * 1000))
dateMax = QDateTime.fromMSecsSinceEpoch(dtMsecs + 2000)
self.seriesPeers.append(dtMsecs, count)
self.axisX.setRange(dateMin, dateMax)
