def gestureEvent(self, event):
pan = event.gesture(Qt.PanGesture)
if pan:
QChart.scroll(pan.delta().x(), pan.delta().y())
pinch = event.gesture(Qt.PinchGesture)
if pinch:
if pinch.changeFlags() & QPinchGesture.ScaleFactorChanged:
self.zoom(pinch.scaleFactor())
return True
class IMUChartView(QChartView, BaseGraph):
def __init__(self, parent=None):
super().__init__(parent=parent)
# Render on OpenGL
self.setViewport(QOpenGLWidget())
self.xvalues = {}
self.chart = QChart()
self.setChart(self.chart)
self.chart.legend().setVisible(True)
self.chart.legend().setAlignment(Qt.AlignTop)
self.ncurves = 0
self.setRenderHint(QPainter.Antialiasing)
# Cursor (with chart as parent)
self.cursor = QGraphicsLineItem(self.chart)
self.cursor.setZValue(100.0)
# self.scene().addItem(self.cursor)
# Selection features
# self.setRubberBand(QChartView.HorizontalRubberBand)
self.selectionBand = QRubberBand(QRubberBand.Rectangle, self)
self.selecting = False
self.initialClick = QPoint()
# Track mouse
self.setMouseTracking(True)
self.labelValue = QLabel(self)
self.labelValue.setStyleSheet(
"background-color: rgba(255,255,255,75%); color: black;")
self.labelValue.setAlignment(Qt.AlignCenter)
self.labelValue.setMargin(5)
self.labelValue.setVisible(False)
self.build_style()
self.selection_start_time = None
self.selection_stop_time = None
self.cursor_time = None
def build_style(self):
self.setStyleSheet("QLabel{color:blue;}")
self.chart.setTheme(QChart.ChartThemeBlueCerulean)
self.setBackgroundBrush(QBrush(Qt.darkGray))
self.chart.setPlotAreaBackgroundBrush(QBrush(Qt.black))
self.chart.setPlotAreaBackgroundVisible(True)
def save_as_png(self, file_path):
pixmap = self.grab()
child = self.findChild(QOpenGLWidget)
painter = QPainter(pixmap)
if child is not None:
d = child.mapToGlobal(QPoint()) - self.mapToGlobal(QPoint())
painter.setCompositionMode(QPainter.CompositionMode_SourceAtop)
painter.drawImage(d, child.grabFramebuffer())
painter.end()
pixmap.save(file_path, 'PNG')
# def closeEvent(self, event):
# self.aboutToClose.emit(self)
@staticmethod
def decimate(xdata, ydata):
# assert(len(xdata) == len(ydata))
# Decimate only if we have too much data
decimate_factor = len(xdata) / 100000.0
# decimate_factor = 1.0
if decimate_factor > 1.0:
decimate_factor = int(np.floor(decimate_factor))
# print('decimate factor', decimate_factor)
x = np.ndarray(int(len(xdata) / decimate_factor), dtype=np.float64)
y = np.ndarray(int(len(ydata) / decimate_factor), dtype=np.float64)
# for i in range(len(x)):
for i, _ in enumerate(x):
index = i * decimate_factor
# assert(index < len(xdata))
x[i] = xdata[index]
y[i] = ydata[index]
if x[i] < x[0]:
print('timestamp error', x[i], x[0])
return x, y
else:
return xdata, ydata
@pyqtSlot(float, float)
def axis_range_changed(self, min_value, max_value):
# print('axis_range_changed', min, max)
for axis in self.chart.axes():
axis.applyNiceNumbers()
def update_axes(self):
# Get and remove all axes
for axis in self.chart.axes():
self.chart.removeAxis(axis)
# Create new axes
# Create axis X
axisx = QDateTimeAxis()
axisx.setTickCount(5)
axisx.setFormat("dd MMM yyyy hh:mm:ss")
axisx.setTitleText("Date")
self.chart.addAxis(axisx, Qt.AlignBottom)
# Create axis Y
axisY = QValueAxis()
axisY.setTickCount(5)
axisY.setLabelFormat("%.3f")
axisY.setTitleText("Values")
self.chart.addAxis(axisY, Qt.AlignLeft)
# axisY.rangeChanged.connect(self.axis_range_changed)
ymin = None
ymax = None
# Attach axes to series, find min-max
for series in self.chart.series():
series.attachAxis(axisx)
series.attachAxis(axisY)
vect = series.pointsVector()
# for i in range(len(vect)):
for i, _ in enumerate(vect):
if ymin is None:
ymin = vect[i].y()
ymax = vect[i].y()
else:
ymin = min(ymin, vect[i].y())
ymax = max(ymax, vect[i].y())
# Update range
# print('min max', ymin, ymax)
if ymin is not None:
axisY.setRange(ymin, ymax)
# Make the X,Y axis more readable
# axisx.applyNiceNumbers()
# axisY.applyNiceNumbers()
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 update_data(self, xdata, ydata, series_id):
if series_id < len(self.chart.series()):
# Find start time to replace data
current_series = self.chart.series()[series_id]
current_points = current_series.pointsVector()
# Find start and end indexes
start_index = -1
try:
start_index = current_points.index(
QPointF(xdata[0] * 1000, ydata[0])) # Right on the value!
# print("update_data: start_index found exact match.")
except ValueError:
# print("update_data: start_index no exact match - scanning deeper...")
for i, value in enumerate(current_points):
# print(str(current_points[i].x()) + " == " + str(xdata[0]*1000))
if current_points[i].x() == xdata[0] * 1000 or (
i > 0 and current_points[i - 1].x() <
xdata[0] * 1000 < current_points[i].x()):
start_index = i
# print("update_data: start_index found approximative match.")
break
end_index = -1
try:
end_index = current_points.index(
QPointF(xdata[len(xdata) - 1] * 1000,
ydata[len(ydata) - 1])) # Right on!
# print("update_data: start_index found exact match.")
except ValueError:
# print("update_data: start_index no exact match - scanning deeper...")
for i, value in enumerate(current_points):
# print(str(current_points[i].x()) + " == " + str(xdata[0]*1000))
if current_points[i].x(
) == xdata[len(xdata) - 1] * 1000 or (
i > 0 and
current_points[i - 1].x() < xdata[len(xdata) - 1] *
1000 < current_points[i].x()):
end_index = i
# print("update_data: start_index found approximative match.")
break
if start_index < 0 or end_index < 0:
return
# Decimate, if needed
xdata, ydata = self.decimate(xdata, ydata)
# Check if we have the same number of points for that range. If not, remove and replace!
target_points = current_points[start_index:end_index]
if len(target_points) != len(xdata):
points = []
for i, value in enumerate(xdata):
# TODO improve
points.append(QPointF(value * 1000, ydata[i]))
new_points = current_points[0:start_index] + points[0:len(points)-1] + \
current_points[end_index:len(current_points)-1]
current_series.replace(new_points)
new_points.clear()
# self.xvalues[series_id] = np.array(xdata)
return
@classmethod
def set_title(cls, title):
# print('Setting title: ', title)
# self.chart.setTitle(title)
return
@staticmethod
def series_to_polyline(xdata, ydata):
"""Convert series data to QPolygon(F) polyline
This code is derived from PythonQwt's function named
`qwt.plot_curve.series_to_polyline`"""
# print('series_to_polyline types:', type(xdata[0]), type(ydata[0]))
size = len(xdata)
polyline = QPolygonF(size)
# for i in range(0, len(xdata)):
# polyline[i] = QPointF(xdata[i] - xdata[0], ydata[i])
for i, data in enumerate(xdata):
polyline[i] = QPointF(data - xdata[0], ydata[i])
# 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[:(size-1)*2+1:2] = xdata
# memory[1:(size-1)*2+2:2] = ydata
return polyline
def add_test_data(self):
# 100Hz, one day accelerometer values
npoints = 1000 * 60 * 24
xdata = np.linspace(0., 10., npoints)
self.add_data(xdata, np.sin(xdata), color=Qt.red, legend_text='Acc. X')
# self.add_data(xdata, np.cos(xdata), color=Qt.green, legend_text='Acc. Y')
# self.add_data(xdata, np.cos(2 * xdata), color=Qt.blue, legend_text='Acc. Z')
self.set_title(
"Simple example with %d curves of %d points (OpenGL Accelerated Series)"
% (self.ncurves, npoints))
def mouseMoveEvent(self, e: QMouseEvent):
if self.selecting:
clicked_x = max(
self.chart.plotArea().x(),
min(
self.mapToScene(e.pos()).x(),
self.chart.plotArea().x() + self.chart.plotArea().width()))
clicked_y = max(
self.chart.plotArea().y(),
min(
self.mapToScene(e.pos()).y(),
self.chart.plotArea().y() +
self.chart.plotArea().height()))
current_pos = QPoint(clicked_x, clicked_y) # e.pos()
self.selection_stop_time = self.chart.mapToValue(
QPointF(clicked_x, 0)).x()
self.setCursorPosition(clicked_x, True)
if self.interaction_mode == GraphInteractionMode.SELECT:
if current_pos.x() < self.initialClick.x():
start_x = current_pos.x()
width = self.initialClick.x() - start_x
else:
start_x = self.initialClick.x()
width = current_pos.x() - self.initialClick.x()
self.selectionBand.setGeometry(
QRect(start_x,
self.chart.plotArea().y(), width,
self.chart.plotArea().height()))
if self.selection_rec:
self.selection_rec.setRect(
QRectF(start_x,
self.chart.plotArea().y(), width,
self.chart.plotArea().height()))
if self.interaction_mode == GraphInteractionMode.MOVE:
new_pos = current_pos - self.initialClick
self.chart.scroll(-new_pos.x(), new_pos.y())
self.initialClick = current_pos
def mousePressEvent(self, e: QMouseEvent):
# Handling rubberbands
# super().mousePressEvent(e)
# Verify if click is inside plot area
# if self.chart.plotArea().contains(e.pos()):
self.selecting = True
clicked_x = max(
self.chart.plotArea().x(),
min(
self.mapToScene(e.pos()).x(),
self.chart.plotArea().x() + self.chart.plotArea().width()))
clicked_y = max(
self.chart.plotArea().y(),
min(
self.mapToScene(e.pos()).y(),
self.chart.plotArea().y() + self.chart.plotArea().height()))
self.initialClick = QPoint(clicked_x, clicked_y) # e.pos()
self.selection_start_time = self.chart.mapToValue(QPointF(
clicked_x, 0)).x()
self.setCursorPosition(clicked_x, True)
if self.interaction_mode == GraphInteractionMode.SELECT:
self.selectionBand.setGeometry(
QRect(self.initialClick.x(),
self.chart.plotArea().y(), 1,
self.chart.plotArea().height()))
self.selectionBand.show()
if self.interaction_mode == GraphInteractionMode.MOVE:
QGuiApplication.setOverrideCursor(Qt.ClosedHandCursor)
self.labelValue.setVisible(False)
def mouseReleaseEvent(self, e: QMouseEvent):
# Assure if click is inside plot area
# Handling rubberbands (with min / max x)
clicked_x = max(
self.chart.plotArea().x(),
min(
self.mapToScene(e.pos()).x(),
self.chart.plotArea().x() + self.chart.plotArea().width()))
if self.interaction_mode == GraphInteractionMode.SELECT:
self.selectionBand.hide()
if clicked_x != self.mapToScene(self.initialClick).x():
mapped_x = self.mapToScene(self.initialClick).x()
if self.initialClick.x() < clicked_x:
self.setSelectionArea(mapped_x, clicked_x, True)
else:
self.setSelectionArea(clicked_x, mapped_x, True)
if self.interaction_mode == GraphInteractionMode.MOVE:
QGuiApplication.restoreOverrideCursor()
self.selecting = False
def clearSelectionArea(self, emit_signal=False):
if self.selection_rec:
self.scene().removeItem(self.selection_rec)
self.selection_rec = None
if emit_signal:
self.clearedSelectionArea.emit()
def setSelectionArea(self, start_pos, end_pos, emit_signal=False):
selection_brush = QBrush(QColor(153, 204, 255, 128))
selection_pen = QPen(Qt.transparent)
if self.selection_rec:
self.scene().removeItem(self.selection_rec)
self.selection_rec = self.scene().addRect(
start_pos,
self.chart.plotArea().y(), end_pos - start_pos,
self.chart.plotArea().height(), selection_pen, selection_brush)
if emit_signal:
self.selectedAreaChanged.emit(
self.chart.mapToValue(QPointF(start_pos, 0)).x(),
self.chart.mapToValue(QPointF(end_pos, 0)).x())
def setSelectionAreaFromTime(self,
start_time,
end_time,
emit_signal=False):
# Convert times to x values
if isinstance(start_time, datetime.datetime):
start_time = start_time.timestamp() * 1000
if isinstance(end_time, datetime.datetime):
end_time = end_time.timestamp() * 1000
start_pos = self.chart.mapToPosition(QPointF(start_time, 0)).x()
end_pos = self.chart.mapToPosition(QPointF(end_time, 0)).x()
self.setSelectionArea(start_pos, end_pos)
def setCursorPosition(self, pos, emit_signal=False):
self.cursor_time = self.chart.mapToValue(QPointF(pos, 0)).x()
# print (pos)
pen = self.cursor.pen()
pen.setColor(Qt.cyan)
pen.setWidthF(1.0)
self.cursor.setPen(pen)
# On Top
self.cursor.setZValue(100.0)
area = self.chart.plotArea()
x = pos
y1 = area.y()
y2 = area.y() + area.height()
# self.cursor.set
self.cursor.setLine(x, y1, x, y2)
self.cursor.show()
xmap_initial = self.chart.mapToValue(QPointF(pos, 0)).x()
display = ''
# '<i>' + (datetime.datetime.fromtimestamp(xmap + self.reftime.timestamp())).strftime('%d-%m-%Y %H:%M:%S') +
# '</i><br />'
ypos = 10
last_val = None
for i in range(self.ncurves):
# Find nearest point
idx = (np.abs(self.xvalues[i] - xmap_initial)).argmin()
ymap = self.chart.series()[i].at(idx).y()
xmap = self.chart.series()[i].at(idx).x()
if i == 0:
display += "<i>" + (datetime.datetime.fromtimestamp(xmap_initial/1000)).strftime('%d-%m-%Y %H:%M:%S:%f') + \
"</i>"
# Compute where to display label
if last_val is None or ymap > last_val:
last_val = ymap
ypos = self.chart.mapToPosition(QPointF(xmap, ymap)).y()
if display != '':
display += '<br />'
display += self.chart.series()[i].name(
) + ': <b>' + '%.3f' % ymap + '</b>'
self.labelValue.setText(display)
self.labelValue.setGeometry(pos, ypos, 100, 100)
self.labelValue.adjustSize()
self.labelValue.setVisible(True)
if emit_signal:
self.cursorMoved.emit(xmap_initial)
self.update()
def setCursorPositionFromTime(self, timestamp, emit_signal=False):
# Find nearest point
if isinstance(timestamp, datetime.datetime):
timestamp = timestamp.timestamp()
pos = self.get_pos_from_time(timestamp)
self.setCursorPosition(pos, emit_signal)
def get_pos_from_time(self, timestamp):
px = timestamp
idx1 = (np.abs(self.xvalues[0] - px)).argmin()
x1 = self.chart.series()[0].at(idx1).x()
pos1 = self.chart.mapToPosition(QPointF(x1, 0)).x()
idx2 = idx1 + 1
if idx2 < len(self.chart.series()[0]):
x2 = self.chart.series()[0].at(idx2).x()
if x2 != x1:
pos2 = self.chart.mapToPosition(QPointF(x2, 0)).x()
x2 /= 1000
x1 /= 1000
pos = (((px - x1) / (x2 - x1)) * (pos2 - pos1)) + pos1
else:
pos = pos1
else:
pos = pos1
return pos
def resizeEvent(self, e: QResizeEvent):
super().resizeEvent(e)
# oldSize = e.oldSize()
# newSize = e.size()
# Update cursor from time
if self.cursor_time:
self.setCursorPositionFromTime(self.cursor_time / 1000.0)
# Update selection
if self.selection_rec:
self.setSelectionAreaFromTime(self.selection_start_time,
self.selection_stop_time)
def zoom_in(self):
self.chart.zoomIn()
self.update_axes()
def zoom_out(self):
self.chart.zoomOut()
self.update_axes()
def zoom_area(self):
if self.selection_rec:
zoom_rec = self.selection_rec.rect()
zoom_rec.setY(0)
zoom_rec.setHeight(self.chart.plotArea().height())
self.chart.zoomIn(zoom_rec)
self.clearSelectionArea(True)
self.update_axes()
def zoom_reset(self):
self.chart.zoomReset()
self.update_axes()
def get_displayed_start_time(self):
min_x = self.chart.mapToScene(self.chart.plotArea()).boundingRect().x()
xmap = self.chart.mapToValue(QPointF(min_x, 0)).x()
return datetime.datetime.fromtimestamp(xmap / 1000)
def get_displayed_end_time(self):
max_x = self.chart.mapToScene(self.chart.plotArea()).boundingRect().x()
max_x += self.chart.mapToScene(
self.chart.plotArea()).boundingRect().width()
xmap = self.chart.mapToValue(QPointF(max_x, 0)).x()
return datetime.datetime.fromtimestamp(xmap / 1000)
@property
def is_zoomed(self):
return self.chart.isZoomed()
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
