def update_particles(particles):
animation_chart = QChart()
reals = QScatterSeries()
pen_reals = reals.pen()
pen_reals.setBrush(QtGui.QColor("white"))
reals.setMarkerSize(5)
reals.setColor(QtGui.QColor("red"))
reals.setPen(pen_reals)
for particle in particles:
reals.append(particle, 0)
animation_chart.addSeries(reals)
animation_chart.setBackgroundBrush(QtGui.QColor(41, 43, 47))
animation_chart.createDefaultAxes()
animation_chart.legend().hide()
animation_chart.setContentsMargins(-10, -10, -10, -10)
animation_chart.layout().setContentsMargins(0, 0, 0, 0)
animation_chart.axisX().setTickCount(17)
animation_chart.axisY().setTickCount(3)
animation_chart.axisX().setLabelsColor(QtGui.QColor("white"))
animation_chart.axisX().setGridLineColor(QtGui.QColor("grey"))
animation_chart.axisX().setRange(-4, 12)
animation_chart.axisY().setRange(-1, 1)
animation_chart.axisY().setLabelsColor(QtGui.QColor("white"))
animation_chart.axisY().setGridLineColor(QtGui.QColor("grey"))
form.widget_animation.setChart(animation_chart)
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 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 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 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 __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 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
def run_evolution():
range_a = float(str(form.input_a.text()))
range_b = float(str(form.input_b.text()))
precision = int(str(form.input_d.text()))
generations_number = int(str(form.input_t.text()))
app.setOverrideCursor(QtCore.Qt.WaitCursor)
best_reals, best_binary, best_fxs, local_fxs, _, _ = evolution(range_a, range_b, precision, generations_number, form.checkBox.isChecked())
form.best_table.item(1,0).setText(str(best_reals[len(local_fxs)-1]))
form.best_table.item(1,1).setText(''.join(map(str, best_binary[len(local_fxs)-1])))
form.best_table.item(1,2).setText(str(best_fxs[len(local_fxs)-1]))
chart = QChart()
bests = QLineSeries()
pen_best = bests.pen()
pen_best.setWidth(1)
pen_best.setBrush(QtGui.QColor("red"))
bests.setPen(pen_best)
for i in range(0, len(local_fxs)):
if len(local_fxs[i]) - 1 == 0:
fxs = QScatterSeries()
fxs.append(i + 0.99, local_fxs[i][0])
pen = fxs.pen()
color = QtGui.QColor(random.randint(50,255), random.randint(50,255), random.randint(50,255))
fxs.setColor(color)
pen.setColor(color)
fxs.setPen(pen)
fxs.setMarkerSize(5)
else:
fxs = QLineSeries()
tick = 1 / (len(local_fxs[i]) - 1)
for j in range(len(local_fxs[i])):
fxs.append(i + j * tick, local_fxs[i][j])
pen = fxs.pen()
pen.setWidth(1)
pen.setBrush(QtGui.QColor(random.randint(50,255), random.randint(50,255), random.randint(50,255)))
fxs.setPen(pen)
bests.append(i+1, best_fxs[i])
chart.addSeries(fxs)
chart.addSeries(bests)
chart.setBackgroundBrush(QtGui.QColor(41, 43, 47))
chart.createDefaultAxes()
chart.legend().hide()
chart.setContentsMargins(-10, -10, -10, -10)
chart.layout().setContentsMargins(0, 0, 0, 0)
chart.axisX().setTickCount(11)
chart.axisX().setLabelsColor(QtGui.QColor("white"))
chart.axisX().setGridLineColor(QtGui.QColor("grey"))
chart.axisX().setLabelFormat("%i")
chart.axisY().setRange(-2,2)
chart.axisY().setLabelsColor(QtGui.QColor("white"))
chart.axisY().setGridLineColor(QtGui.QColor("grey"))
form.widget.setChart(chart)
with open('best_history.csv', 'w', newline='', encoding='utf8') as history_csvfile:
history_writer = csv.writer(
history_csvfile, delimiter=';', dialect=csv.excel)
history_writer.writerow(['Parametry'])
history_writer.writerow(['Precyzja: 10^-%d' % precision])
history_writer.writerow(['Iteracje: %d' % generations_number])
history_writer.writerow(['', 'real', 'bin', 'f(real)'])
for index, generation in enumerate(range(generations_number)):
history_writer.writerow([index, best_reals[generation], best_binary[generation], best_fxs[generation]])
app.restoreOverrideCursor()
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()
def onPlotButtonClicked(self, packets=None):
if self.chart:
self.chart.removeAllSeries()
if packets is None:
packets = self.data
if not packets:
return
self.showMessage('Preparing plot ...')
name = self.paramNameEdit.text()
packet_selection = self.comboBox.currentIndex()
xaxis_type = self.xaxisComboBox.currentIndex()
data_type = self.dataTypeComboBox.currentIndex()
timestamp = []
self.y = []
params = self.paramNameEdit.text()
header = packets[0]['header']
current_spid = 0
spid_text = self.spidLineEdit.text()
if spid_text:
current_spid = int(spid_text)
selected_packets=[]
if packet_selection == 0:
selected_packets=[packets[self.current_row]]
elif packet_selection == 1:
selected_packets=packets
for packet in selected_packets:
header = packet['header']
if packet['header']['SPID'] != current_spid:
continue
params = packet['parameters']
self.walk(name, params, header, timestamp, self.y, xaxis_type,
data_type)
self.x = []
if not self.y:
self.showMessage('No data points')
elif self.y:
style = self.styleEdit.text()
if not style:
style = '-'
title = '%s' % str(name)
desc = self.descLabel.text()
if desc:
title += '- %s' % desc
self.chart.setTitle(title)
ylabel = 'Raw value'
xlabel = name
if data_type == 1:
ylabel = 'Engineering / Decompressed value'
if xaxis_type == 0:
if packet_selection == 1:
xlabel = "Packet #"
else:
xlabel = "Repeat #"
self.x = range(0, len(self.y))
if xaxis_type == 1:
self.x = [t - timestamp[0] for t in timestamp]
xlabel = 'Time -T0 (s)'
if xaxis_type != 2:
series = QLineSeries()
series2 = None
for xx, yy in zip(self.x, self.y):
series.append(xx, yy)
if 'o' in style:
series2 = QScatterSeries()
for xx, yy in zip(self.x, self.y):
series2.append(xx, yy)
self.chart.addSeries(series2)
self.chart.addSeries(series)
axisX = QValueAxis()
axisX.setTitleText(xlabel)
axisY = QValueAxis()
axisY.setTitleText(ylabel)
self.chart.setAxisX(axisX)
self.chart.setAxisY(axisY)
series.attachAxis(axisX)
series.attachAxis(axisY)
else:
nbins = len(set(self.y))
ycounts, xedges = np.histogram(self.y, bins=nbins)
series = QLineSeries()
for i in range(0, nbins):
meanx = (xedges[i] + xedges[i + 1]) / 2.
series.append(meanx, ycounts[i])
self.chart.addSeries(series)
axisX = QValueAxis()
axisX.setTitleText(name)
axisY = QValueAxis()
axisY.setTitleText("Counts")
self.chart.setAxisY(axisY)
self.chart.setAxisX(axisX)
series.attachAxis(axisX)
series.attachAxis(axisY)
self.xlabel = xlabel
self.ylabel = ylabel
self.chartView.setRubberBand(QChartView.RectangleRubberBand)
self.chartView.setRenderHint(QtGui.QPainter.Antialiasing)
msg = 'Number of data points: {}, Ymin: {}, Ymax: {}'.format(
len(self.y), min(self.y), max(self.y))
self.showMessage(msg, 1)
self.showMessage('The canvas updated!')
class PriceFigure:
def __init__(self, name):
self.name = name
self.chart_view = QChartView()
self.price_time_axis = QDateTimeAxis()
self.price_time_axis.setFormat('h:mm')
self.price_axis = QValueAxis()
self.candle_stick_series = QCandlestickSeries()
self.candle_stick_series.setIncreasingColor(Qt.red)
self.candle_stick_series.setDecreasingColor(Qt.blue)
self.moving_average_series = QLineSeries()
self.top_edge_series = QScatterSeries()
self.bottom_edge_series = QScatterSeries()
self.trend_lines = []
self.short_top_trend_series = QLineSeries()
self.short_bottom_trend_series = QLineSeries()
self.long_top_trend_series = QLineSeries()
self.long_bottom_trend_series = QLineSeries()
self.trend_lines.append(self.short_top_trend_series)
self.trend_lines.append(self.short_bottom_trend_series)
self.trend_lines.append(self.long_top_trend_series)
self.trend_lines.append(self.long_bottom_trend_series)
self.chart_view.chart().addSeries(self.candle_stick_series)
self.chart_view.chart().addSeries(self.moving_average_series)
self.chart_view.chart().addSeries(self.top_edge_series)
self.chart_view.chart().addSeries(self.bottom_edge_series)
self.chart_view.chart().addSeries(self.short_top_trend_series)
self.chart_view.chart().addSeries(self.long_top_trend_series)
self.chart_view.chart().addSeries(self.short_bottom_trend_series)
self.chart_view.chart().addSeries(self.long_bottom_trend_series)
self.chart_view.chart().addAxis(self.price_time_axis, Qt.AlignBottom)
self.chart_view.chart().addAxis(self.price_axis, Qt.AlignLeft)
self.chart_view.chart().legend().hide()
self.chart_view.setRenderHint(QPainter.Antialiasing)
self.set_marker_color()
self.set_trend_line_pen()
def set_trend_line_pen(self):
brushes = [
QBrush(QColor(255, 0, 0, 90)),
QBrush(QColor(0, 0, 255, 90)),
QBrush(QColor(205, 56, 47, 255)),
QBrush(QColor(0, 153, 213, 255))
]
for i, tl in enumerate(self.trend_lines):
tl.setPen(QPen(brushes[i], 4, Qt.DotLine))
def set_marker_color(self):
self.top_edge_series.setPen(Qt.black)
self.top_edge_series.setBrush(QBrush(QColor(255, 0, 255, 90)))
self.bottom_edge_series.setPen(Qt.black)
self.bottom_edge_series.setBrush(QBrush(QColor(0, 255, 255, 90)))
def set_datetime(self, d):
self.chart_datetime = d
self.datetime_range = (d.timestamp() * 1000,
d.replace(hour=23, minute=59).timestamp() *
1000)
start_time = QDateTime()
until_time = QDateTime()
start_time.setDate(QDate(d.year, d.month, d.day))
until_time.setDate(QDate(d.year, d.month, d.day))
start_time.setTime(QTime(9, 0))
until_time.setTime(QTime(16, 0))
self.price_time_axis.setRange(start_time, until_time)
def attach(self):
self.price_time_axis.setTickCount(7)
self.candle_stick_series.attachAxis(self.price_time_axis)
self.candle_stick_series.attachAxis(self.price_axis)
self.moving_average_series.attachAxis(self.price_time_axis)
self.moving_average_series.attachAxis(self.price_axis)
self.top_edge_series.attachAxis(self.price_time_axis)
self.top_edge_series.attachAxis(self.price_axis)
self.bottom_edge_series.attachAxis(self.price_time_axis)
self.bottom_edge_series.attachAxis(self.price_axis)
self.short_top_trend_series.attachAxis(self.price_time_axis)
self.short_top_trend_series.attachAxis(self.price_axis)
self.long_top_trend_series.attachAxis(self.price_time_axis)
self.long_top_trend_series.attachAxis(self.price_axis)
self.short_bottom_trend_series.attachAxis(self.price_time_axis)
self.short_bottom_trend_series.attachAxis(self.price_axis)
self.long_bottom_trend_series.attachAxis(self.price_time_axis)
self.long_bottom_trend_series.attachAxis(self.price_axis)
def in_datetime_range(self, q):
return self.datetime_range[0] < q < self.datetime_range[1]
def clear_series_data(self):
self.candle_stick_series.clear()
self.moving_average_series.clear()
self.top_edge_series.clear()
self.bottom_edge_series.clear()
self.short_top_trend_series.clear()
self.long_top_trend_series.clear()
self.short_bottom_trend_series.clear()
self.long_bottom_trend_series.clear()
def get_chart_view(self):
return self.chart_view
def add_moving_average(self, q, price):
if self.in_datetime_range(q):
self.moving_average_series.append(q, price)
def add_candle_stick(self, q, o, h, l, c):
if self.in_datetime_range(q):
self.candle_stick_series.append(QCandlestickSet(o, h, l, c, q))
def set_price_range(self, price_min, price_max):
self.price_axis.setRange(price_min, price_max)
tick_count = int(
math.ceil((price_max - price_min) / price_min * 100. / 2.0))
self.price_axis.setTickCount(tick_count if tick_count + 1 > 2 else 2)
def add_top_edge(self, q, price):
if self.in_datetime_range(q):
self.top_edge_series.append(q, price)
def add_bottom_edge(self, q, price):
if self.in_datetime_range(q):
self.bottom_edge_series.append(q, price)
def add_short_top_trend(self, q, price, draw_horizontal=False):
if self.in_datetime_range(q):
if draw_horizontal:
self.short_top_trend_series.append(q, price)
if self.name == 'yesterday':
self.short_top_trend_series.append(self.datetime_range[1],
price)
else:
self.short_top_trend_series.append(self.datetime_range[0],
price)
else:
self.short_top_trend_series.append(q, price)
def add_long_top_trend(self, q, price, draw_horizontal=False):
if self.in_datetime_range(q):
if draw_horizontal:
self.long_top_trend_series.append(q, price)
if self.name == 'yesterday':
self.long_top_trend_series.append(self.datetime_range[1],
price)
else:
self.long_top_trend_series.append(self.datetime_range[0],
price)
else:
self.long_top_trend_series.append(q, price)
def add_short_bottom_trend(self, q, price, draw_horizontal=False):
if self.in_datetime_range(q):
if draw_horizontal:
self.short_bottom_trend_series.append(q, price)
if self.name == 'yesterday':
self.short_bottom_trend_series.append(
self.datetime_range[1], price)
else:
self.short_bottom_trend_series.append(
self.datetime_range[0], price)
else:
self.short_bottom_trend_series.append(q, price)
def add_long_bottom_trend(self, q, price, draw_horizontal=False):
if self.in_datetime_range(q):
if draw_horizontal:
self.long_bottom_trend_series.append(q, price)
if self.name == 'yesterday':
self.long_bottom_trend_series.append(
self.datetime_range[1], price)
else:
self.long_bottom_trend_series.append(
self.datetime_range[0], price)
else:
self.long_bottom_trend_series.append(q, price)
def onPlotButtonClicked(self):
if self.chart:
self.chart.removeAllSeries()
if not self.data:
return
self.showMessage('Preparing plot ...')
name = self.paramNameEdit.text()
packet_selection = self.comboBox.currentIndex()
xaxis_type = self.xaxisComboBox.currentIndex()
data_type = self.dataTypeComboBox.currentIndex()
timestamp = []
self.y = []
packet_id = self.current_row
params = self.data[packet_id]['parameters']
header = self.data[packet_id]['header']
current_spid=header['SPID']
if packet_selection == 0:
self.walk(
name,
params,
header,
timestamp,
self.y,
xaxis_type,
data_type)
elif packet_selection == 1:
for packet in self.data:
header = packet['header']
if packet['header']['SPID'] != current_spid:
continue
#only look for parameters in the packets of the same type
params = packet['parameters']
self.walk(
name,
params,
header,
timestamp,
self.y,
xaxis_type,
data_type)
self.x = []
if not self.y:
self.showMessage('No data points')
elif self.y:
style = self.styleEdit.text()
if not style:
style = '-'
title = '%s' % str(name)
desc = self.descLabel.text()
if desc:
title += '- %s' % desc
self.chart.setTitle(title)
ylabel = 'Raw value'
xlabel = name
if data_type == 1:
ylabel = 'Engineering value'
if xaxis_type == 0:
xlabel = "Packet #"
self.x = range(0, len(self.y))
if xaxis_type == 1:
self.x = [t - timestamp[0] for t in timestamp]
xlabel = 'Time -T0 (s)'
#if xaxis_type != 2:
if True:
series = QLineSeries()
series2 = None
# print(y)
# print(x)
for xx, yy in zip(self.x, self.y):
series.append(xx, yy)
if 'o' in style:
series2 = QScatterSeries()
for xx, yy in zip(self.x, self.y):
series2.append(xx, yy)
self.chart.addSeries(series2)
self.chart.addSeries(series)
self.showMessage('plotted!')
#self.chart.createDefaultAxes()
axisX = QValueAxis()
axisX.setTitleText(xlabel)
axisY = QValueAxis()
axisY.setTitleText(ylabel)
self.chart.setAxisX(axisX)
self.chart.setAxisY(axisY)
series.attachAxis(axisX)
series.attachAxis(axisY)
# histogram
#else:
# nbins = len(set(self.y))
# ycounts, xedges = np.histogram(self.y, bins=nbins)
# series = QLineSeries()
# for i in range(0, nbins):
# meanx = (xedges[i] + xedges[i + 1]) / 2.
# series.append(meanx, ycounts[i])
# # series.append(dataset)
# self.chart.addSeries(series)
# #self.chart.createDefaultAxes()
# self.showMessage('Histogram plotted!')
# axisX = QValueAxis()
# axisX.setTitleText(name)
# axisY = QValueAxis()
# axisY.setTitleText("Counts")
# self.chart.setAxisY(axisY)
# self.chart.setAxisX(axisX)
## series.attachAxis(axisX)
# series.attachAxis(axisY)
# self.widget.setChart(self.chart)
self.xlabel=xlabel
self.ylabel=ylabel
self.chartView.setRubberBand(QChartView.RectangleRubberBand)
self.chartView.setRenderHint(QtGui.QPainter.Antialiasing)
def setData(self, timeData, valueData, chartTypes="Bar"):
axisX = QDateTimeAxis()
axisX.setFormat("yyyy-MM-dd")
if self.chartTypes == "Bar":
# Clear all series
self.clearAll()
self.zoomSeries = QLineSeries(self.chart())
barSeries = QBarSeries(self.chart())
barset = QBarSet("data")
barSeries.setBarWidth(0.8)
barSeries.append(barset)
for td, vd in zip(timeData, valueData):
self.zoomSeries.append(td.toMSecsSinceEpoch(), vd)
barset.append(valueData)
self.zoomSeries.hide()
self.chart().addSeries(self.zoomSeries)
self.chart().addSeries(barSeries)
self.chart().setAxisY(QValueAxis(), self.zoomSeries)
axisX.setRange(min(timeData), max(timeData))
self.chart().setAxisX(axisX, self.zoomSeries)
elif self.chartTypes == "Scatter":
# Clear all series
self.clearAll()
self.zoomSeries = QLineSeries(self.chart())
scattSeries = QScatterSeries(self.chart())
scattSeries.setMarkerSize(8)
for td, vd in zip(timeData, valueData):
self.zoomSeries.append(td.toMSecsSinceEpoch(), vd)
scattSeries.append(td.toMSecsSinceEpoch(), vd)
self.zoomSeries.hide()
self.chart().addSeries(self.zoomSeries)
self.chart().addSeries(scattSeries)
self.chart().setAxisY(QValueAxis(), self.zoomSeries)
axisX.setRange(min(timeData), max(timeData))
self.chart().setAxisX(axisX, self.zoomSeries)
elif self.chartTypes in ["Line", "PLine"]:
self.clearAll()
if self.chartTypes == "Line":
self.zoomSeries = QLineSeries(self.chart())
else:
self.zoomSeries = QSplineSeries(self.chart())
for td, vd in zip(timeData, valueData):
self.zoomSeries.append(td.toMSecsSinceEpoch(), vd)
self.chart().addSeries(self.zoomSeries)
self.chart().setAxisY(QValueAxis(), self.zoomSeries)
axisX.setRange(min(timeData), max(timeData))
self.chart().setAxisX(axisX, self.zoomSeries)
elif self.chartTypes == "Area":
self.clearAll()
self.zoomSeries = QLineSeries()
self.zoomSeries.setColor(QColor("#666666"))
for td, vd in zip(timeData, valueData):
self.zoomSeries.append(td.toMSecsSinceEpoch(), vd)
areaSeries = QAreaSeries(self.zoomSeries, None)
self.chart().addSeries(self.zoomSeries)
self.chart().addSeries(areaSeries)
self.chart().setAxisY(QValueAxis(), areaSeries)
axisX.setRange(min(timeData), max(timeData))
self.chart().setAxisX(axisX, areaSeries)
self.zoomSeries.hide()
self.mintimeData = min(timeData)
self.maxtimeData = max(timeData)
self.BtnsWidget.dateRangeEdit.setDateRange([
self.mintimeData.toString("yyyy-MM-dd"),
self.maxtimeData.toString("yyyy-MM-dd"),
])
self.updateView()
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)
series3.append(ANGULAR_MIN + ad * 3, RADIAL_MIN + rd)
series3.append(ANGULAR_MIN + ad * 4, RADIAL_MAX)
class MainLivePlot:
def plot_live_data(self): #plot graph
if self.forceData.force_filepath == "": #area plot only
if self.frameCount != 1: #ignore for image
self.plotWindow.liveChart.removeAllSeries()
self.plotWindow.liveChartScene.removeItem(self.plotWindow.liveChart)
self.plotWindow.liveChartView.resetCachedContent()
self.plotWindow.liveChart = QChart() #live chart
self.plotWindow.liveChart.setSizePolicy(QSizePolicy.Minimum, QSizePolicy.Minimum)
self.plotWindow.liveChart.legend().hide()
logging.debug('%s', self.plotWindow.liveChartView.size())
w, h = (self.plotWindow.liveChartView.size().width(),
self.plotWindow.liveChartView.size().height())
logging.debug('%s, %s', w,h)
self.plotWindow.liveChart.setMinimumSize(w, h)
self.curve1 = QScatterSeries()#initialise live plot curves
self.initialise_live_plot(self.curve1, Qt.blue) #contact area plot
logging.debug('%s', self.frameTime.shape)
data_ind = "Contact angle" \
if self.analysisMode.currentText() == "Contact Angle Analysis" \
else "Contact area"
for k in self.roiDict.keys():
if len(self.roiDict.keys()) > 1 and k == "Default":
continue
self.curve1.append(self.series_to_polyline(self.frameTime,
self.dataDict[k][data_ind]))
self.plotWindow.liveChart.addSeries(self.curve1)
if self.roi_auto == True: # roi area plot
self.curve2 = QScatterSeries()
self.initialise_live_plot(self.curve2, Qt.red)
for k in self.roiDict.keys():
if len(self.roiDict.keys()) > 1 and k == "Default":
continue
self.curve2.append(self.series_to_polyline(self.frameTime,
self.dataDict[k]["ROI area"]))
self.plotWindow.liveChart.addSeries(self.curve2)
self.plotWindow.liveChart.createDefaultAxes()
self.plotWindow.liveChartScene.addItem(self.plotWindow.liveChart)
self.plotWindow.liveChartView.setScene(self.plotWindow.liveChartScene)
logging.debug("live plot end")
elif self.forceData.plotWidget.fig_close == False: #area and force plot
self.forceData.getArea(self.frameTime, self.dataDict)
# self.forceData.plotData(self.lengthUnit.currentText())
# self.forceData.toggleAnimation(True)
self.forceData.plotImageAnimate(int(self.framePos))
def pauseAnimation(self):
if self.forceData.plotWidget.fig_close == False and \
self.forceData.force_filepath != "" and \
self.playStatus == False:
self.forceData.toggleAnimation(False)
def plot_data(self): #plot graph
if self.forceData.force_filepath == "":
self.plotWindow.home() #live area data show
else:
# if self.playStatus == True: #pause video if running (bug)
# self.playBtn.click()
self.forceData.plotWidget.fig_close = False #area data show
# self.forceData.getArea(self.frameTime, self.dataDict)
# self.forceData.plotData(self.imageDataUnitDict)
self.plotSequence()
self.forceData.plotWidget.showWindow()
# self.forceData.plotWidget.resize(self.forceData.plotWidget.minimumSizeHint())
def initialise_live_plot(self, curve, color): #initalise live plot
pen = curve.pen()
pen.setColor(color)#Qt.blue
pen.setWidthF(1)
curve.setPen(pen)
curve.setUseOpenGL(True)
curve.setMarkerSize(4.0)
def series_to_polyline(self, xdata, ydata): #convert plot data for Qt
"""Convert series data to QPolygon(F) polyline
This code is derived from PythonQwt's function named
`qwt.plot_curve.series_to_polyline`"""
xsize = len(xdata)
ysize = len(ydata)
if xsize != ysize:
root = Tk()
root.withdraw()
messagebox.showinfo("Live Plot Error!", "Check force file/video file\n" + \
"Exception: x axis and y axis array sizes don't match")
root.destroy()
self.playStatus = False
polyline = QPolygonF(xsize)
pointer = polyline.data()
dtype, tinfo = np.float, np.finfo # integers: = np.int, np.iinfo
pointer.setsize(2*polyline.size()*tinfo(dtype).dtype.itemsize)
memory = np.frombuffer(pointer, dtype)
memory[:(xsize-1)*2+1:2] = xdata
memory[1:(ysize-1)*2+2:2] = ydata
return polyline
class AmzHistoryChart(QWidget):
"""A chart that graphs the history of an AmazonListing's sales rank, price, and number of offers."""
def __init__(self, parent=None):
super(AmzHistoryChart, self).__init__(parent=parent)
self.dbsession = Session()
self.context_menu_actions = []
self._avg_pointspan = 0
self._max_points = 100
self.source = None
self.history = None
layout = QVBoxLayout()
layout.setContentsMargins(0, 0, 0, 0)
self.setLayout(layout)
# Set up the chart
self.chart_view = QChartView(self)
self.chart_view.setRenderHint(QPainter.Antialiasing)
self.chart_view.setContextMenuPolicy(Qt.CustomContextMenu)
self.chart_view.customContextMenuRequested.connect(self.context_menu)
self.chart = QChart()
self.chart.legend().hide()
self.chart.setFlags(QGraphicsItem.ItemIsFocusable | QGraphicsItem.ItemIsSelectable)
self.chart.installEventFilter(self)
self.chart_view.setChart(self.chart)
self.layout().addWidget(self.chart_view)
# Create the axes
rcolor = QColor(50, 130, 220)
pcolor = QColor(0, 200, 0)
ocolor = QColor(255, 175, 0)
self.timeAxis = QDateTimeAxis()
self.timeAxis.setFormat('M/dd hh:mm')
self.timeAxis.setTitleText('Date/Time')
self.chart.addAxis(self.timeAxis, Qt.AlignBottom)
self.timeAxis.minChanged.connect(self.on_timeaxis_min_changed)
self.rankAxis = QValueAxis()
self.rankAxis.setLabelFormat('%\'i')
self.rankAxis.setTitleText('Sales Rank')
self.rankAxis.setLinePenColor(rcolor)
self.rankAxis.setLabelsColor(rcolor)
self.chart.addAxis(self.rankAxis, Qt.AlignLeft)
self.priceAxis = QValueAxis()
self.priceAxis.setLabelFormat('$%.2f')
self.priceAxis.setTitleText('Price')
self.priceAxis.setLinePenColor(pcolor)
self.priceAxis.setLabelsColor(pcolor)
self.chart.addAxis(self.priceAxis, Qt.AlignRight)
# Create the series
self.rankLine = QLineSeries()
self.chart.addSeries(self.rankLine)
self.rankLine.attachAxis(self.timeAxis)
self.rankLine.attachAxis(self.rankAxis)
self.rankLine.setColor(rcolor)
self.priceLine = QLineSeries()
self.chart.addSeries(self.priceLine)
self.priceLine.attachAxis(self.timeAxis)
self.priceLine.attachAxis(self.priceAxis)
self.priceLine.setColor(pcolor)
self.salesPoints = QScatterSeries()
self.chart.addSeries(self.salesPoints)
self.salesPoints.attachAxis(self.timeAxis)
self.salesPoints.attachAxis(self.rankAxis)
self.salesPoints.setColor(ocolor)
def add_context_action(self, action):
"""Add an action to the chart's context menu."""
self.context_menu_actions.append(action)
def add_context_actions(self, actions):
"""Adds all action in an iterable."""
self.context_menu_actions.extend(actions)
def remove_context_action(self, action):
"""Removes an action from the chart's context menu."""
self.context_menu_actions.remove(action)
def context_menu(self, point):
"""Show a context menu on the chart."""
menu = QMenu(self)
menu.addActions(self.context_menu_actions)
point = self.chart_view.viewport().mapToGlobal(point)
menu.popup(point)
def set_source(self, source):
"""Set the source listing for the graph."""
self.source = source
# Update the chart
self.rankLine.clear()
self.priceLine.clear()
self.salesPoints.clear()
self.history = None
start_date = datetime.utcnow() - timedelta(days=5)
self.load_history_from(start_date)
self.reset_axes()
def load_history_from(self, start_date=datetime.utcfromtimestamp(0)):
"""Load history data from start-present."""
if not self.source:
self._avg_pointspan = 0
return
# Get the earliest point already in the chart
points = self.rankLine.pointsVector()
if points:
# The chart is drawn right-to-left, so the last point is the earliest point
earliest_msecs = points[-1].x()
earliest = datetime.fromtimestamp(earliest_msecs / 1000, timezone.utc)
if earliest <= start_date:
return
else:
earliest = datetime.now(timezone.utc)
# Get the product history stats if we don't already have them
if self.history is None:
self.history = dbhelpers.ProductHistoryStats(self.dbsession, self.source.id)
# Start adding points to the chart
last_row = None
for row in self.dbsession.query(AmzProductHistory).\
filter(AmzProductHistory.amz_listing_id == self.source.id,
AmzProductHistory.timestamp > start_date.replace(tzinfo=None),
AmzProductHistory.timestamp < earliest.replace(tzinfo=None)).\
order_by(AmzProductHistory.timestamp.desc()):
# SqlAlchemy returns naive timestamps
time = row.timestamp.replace(tzinfo=timezone.utc).timestamp() * 1000
self.rankLine.append(time, row.salesrank or 0)
self.priceLine.append(time, row.price or 0)
if last_row:
# It's possible for salesrank to be None
try:
slope = (last_row.salesrank - row.salesrank) / (last_row.timestamp.timestamp() - row.timestamp.timestamp())
if slope < -0.3:
self.salesPoints.append(last_row.timestamp.replace(tzinfo=timezone.utc).timestamp() * 1000,
last_row.salesrank)
except (TypeError, AttributeError):
pass
last_row = row
# Calculate the average span between points
spans = 0
for p1, p2 in itertools.zip_longest(itertools.islice(points, 0, None, 2), itertools.islice(points, 1, None, 2)):
if p1 and p2: spans += abs(p1.x() - p2.x())
self._avg_pointspan = spans // 2
def on_timeaxis_min_changed(self, min):
"""Respond to a change in the time axis' minimum value."""
# toTime_t() converts to UTC automatically
utc_min = datetime.fromtimestamp(min.toTime_t(), timezone.utc)
self.load_history_from(start_date=utc_min - timedelta(days=1))
def reset_axes(self):
"""Resets the chart axes."""
r = self.rankLine.pointsVector()
p = self.priceLine.pointsVector()
# If there is only one data point, set the min and max to the day before and the day after
if len(r) == 1:
tmin = QDateTime.fromMSecsSinceEpoch(r[0].x(), Qt.LocalTime).addDays(-1)
tmax = QDateTime.fromMSecsSinceEpoch(r[0].x(), Qt.LocalTime).addDays(+1)
else:
tmin = min(r, key=lambda pt: pt.x(), default=QPointF(QDateTime.currentDateTime().addDays(-1).toMSecsSinceEpoch(), 0)).x()
tmax = max(r, key=lambda pt: pt.x(), default=QPointF(QDateTime.currentDateTime().addDays(+1).toMSecsSinceEpoch(), 0)).x()
tmin = QDateTime.fromMSecsSinceEpoch(tmin, Qt.LocalTime)
tmax = QDateTime.fromMSecsSinceEpoch(tmax, Qt.LocalTime)
self.timeAxis.setMin(tmin)
self.timeAxis.setMax(tmax)
# Find the min and max values of the series
min_point = lambda pts: min(pts, key=lambda pt: pt.y(), default=QPointF(0, 0))
max_point = lambda pts: max(pts, key=lambda pt: pt.y(), default=QPointF(0, 0))
rmin = min_point(r)
rmax = max_point(r)
pmin = min_point(p)
pmax = max_point(p)
# Scale the mins and maxes to 'friendly' values
scalemin = lambda v, step: ((v - step / 2) // step) * step
scalemax = lambda v, step: ((v + step / 2) // step + 1) * step
# The the axis bounds
rmin = max(scalemin(rmin.y(), 1000), 0)
rmax = scalemax(rmax.y(), 1000)
pmin = max(scalemin(pmin.y(), 5), 0)
pmax = scalemax(pmax.y(), 5)
self.rankAxis.setMin(rmin)
self.rankAxis.setMax(rmax)
self.priceAxis.setMin(pmin)
self.priceAxis.setMax(pmax)
def eventFilter(self, watched, event):
"""Intercept and handle mouse events."""
if event.type() == QEvent.GraphicsSceneWheel and event.orientation() == Qt.Vertical:
factor = 0.95 if event.delta() < 0 else 1.05
self.chart.zoom(factor)
return True
if event.type() == QEvent.GraphicsSceneMouseDoubleClick:
self.chart.zoomReset()
self.reset_axes()
return True
if event.type() == QEvent.GraphicsSceneMouseMove:
delta = event.pos() - event.lastPos()
self.chart.scroll(-delta.x(), delta.y())
return True
return False
