def __init__(self, parent=None, init_y_channel=None, background='default'):
self._bottom_axis = TimeAxisItem('bottom')
self._left_axis = AxisItem('left')
super(PyDMTimePlot, self).__init__(parent=parent,
background=background,
axisItems={
'bottom': self._bottom_axis,
'left': self._left_axis
})
self._ychannel = init_y_channel
self.plotItem.disableAutoRange(ViewBox.XAxis)
self.y_waveform = None
self._bufferSize = 1
self.redraw_timer = QTimer(self)
self.redraw_timer.setInterval(20)
self.redraw_timer.timeout.connect(self.redrawPlot)
self.update_timer = QTimer(self)
self._time_span = 5.0 #This is in seconds
self._update_interval = 100
self._update_mode = PyDMTimePlot.SynchronousMode
#Due to a bug in pyqtgraph, we have to remove a bunch of leftover garbage axes.
#It looks like this bug will be fixed in a future version of pyqtgraph.
for child in self.getPlotItem().childItems():
if isinstance(child, AxisItem):
if child not in [
self.getPlotItem().axes[k]['item']
for k in self.getPlotItem().axes
]:
child.deleteLater()
def __init__(self, angle=15, *args, **kwargs):
"""
Initialize an new RotateLabelAxe with provided angle.
RotateLabelAxe is a subclass of AxisItem. Other args and kwargs are
passed on to AxisItem. For more information, see
pyqtgraph.graphicsItems.AxisItem.
Args:
angle: (int) angle of the labels, defaults to 15.
*args:
**kwargs:
"""
self.angle = angle
AxisItem.__init__(self, *args, **kwargs)
def on_pushButton_3_clicked(self):
"""
Slot documentation goes here.
"""
# answers = []
# for answer in db['question_'+str(self.index)].find():
# text = answer['content'].replace('\n', '')
# if 5 < len(text) < 100:
# answers.append(text)
answers = [
answer['content'].replace('\n', '')
for answer in db['question_' + str(self.index)].find()
]
Line1 = InfiniteLine(pos=0, pen=(255, 0, 0), angle=0, movable=False)
Line2 = InfiniteLine(pos=0.5, pen=(0, 0, 255), angle=0, movable=False)
Line3 = InfiniteLine(pos=1, pen=(0, 255, 0), angle=0, movable=False)
import sys
start = perf_counter()
data = LSTM.get_result(answers,
vec_path=sys.path[0] + '/lstm/vec_lstm.pkl',
model_path=sys.path[0] + '/lstm/lstmModel.pkl')
end = perf_counter()
print('情感分析总用时：' + str(end - start) + 's')
tricks = [(0, '消极'), (0.5, '中立'), (1, '积极')]
strAxis = AxisItem(orientation='left', maxTickLength=3)
strAxis.setTicks([
tricks,
])
visitor_count_plot = PlotWidget(axisItems={'left': strAxis},
background=None)
visitor_count_plot.plot(y=data, pen=None, symbol='o')
visitor_count_plot.showAxis('bottom', False)
visitor_count_plot.addItem(Line1)
visitor_count_plot.addItem(Line2)
visitor_count_plot.addItem(Line3)
visitor_count_plot.setObjectName("tab")
# visitor_count_plot.enableAutoRange('x', x_axis_scale)
self._add_analysis_tab(visitor_count_plot, '情感分析')
self.pushButton_3.setEnabled(False)
def __init__(self, parent=None, methods=None):
super(SimpleTestResultsDialog, self).__init__(parent)
self.setWindowTitle("Grismo - Wyniki dla prostego testu")
self.setMinimumWidth(500)
self.results_count = 0
self.all_results = []
self.methods = methods
central = QWidget()
self.setCentralWidget(central)
result_dialog_layout = QVBoxLayout()
central.setLayout(result_dialog_layout)
self.results_table = QTableWidget()
result_dialog_layout.addWidget(self.results_table)
self.results_table.setRowCount(len(methods))
self.results_table.setColumnCount(3)
self.results_table.setColumnWidth(2, 200)
self.results_table.setHorizontalHeaderLabels(["Metoda", "Wynik", "Czas [s]"])
for i in range(len(methods)):
self.results_table.setItem(i, 0, QTableWidgetItem(methods[i]))
# plot box
x_axis_dict = dict(enumerate(methods))
x_axis = AxisItem(orientation='bottom')
x_axis.setTicks([x_axis_dict.items()])
self.results_plot = PlotWidget(axisItems={'bottom': x_axis})
self.results_plot.setBackground('w')
self.results_plot.setTitle("Porównanie metod dla wskazanych grafów")
self.results_plot.setLabel('left', 'Czas obliczeń [s]', color='k', size=10)
self.results_plot.setLabel('bottom', 'Metody ', color='k', size=10)
self.results_plot.setMaximumWidth(600)
self.results_plot.showGrid(y=True)
result_dialog_layout.addWidget(self.results_plot)
# prepare plot data
pen = mkPen(color='k', width=2)
self.plot_data = self.results_plot.plot([], [], pen=pen, symbol='+', symbolSize=10, symbolBrush='k')
def attach_to_plot_item(axis: pg.AxisItem, plot_item: pg.PlotWidget):
"""Функция прикрепляет ось AxisItem к графику PlotWidget"""
axis.setParentItem(plot_item)
view_box = plot_item.getViewBox()
axis.linkToView(view_box)
axis._oldAxis = plot_item.axes[axis.orientation]['item']
axis._oldAxis.hide()
plot_item.axes[axis.orientation]['item'] = axis
pos = plot_item.axes[axis.orientation]['pos']
plot_item.layout.addItem(axis, *pos)
axis.setZValue(-1000)
def set_label(self, side, label, units=None, color='k', size=1):
axis = AxisItem(side, text=label, units=units,
**{'color': color, 'font-size': size})
if config.get_key('pyqtgraph', 'show_axis_label') == 'True':
axis.showLabel(True)
else:
axis.showLabel(False)
self.view.setAxisItems({side: axis})
def __init__(self, parent=None, init_y_channels=[], background='default'):
self._bottom_axis = TimeAxisItem('bottom')
self._left_axis = AxisItem('left')
super(PyDMTimePlot, self).__init__(
parent=parent,
background=background,
axisItems={'bottom': self._bottom_axis,
'left': self._left_axis}
)
self.plotItem.disableAutoRange(ViewBox.XAxis)
self.getViewBox().setMouseEnabled(x=False)
self._bufferSize = 1200
self.update_timer = QTimer(self)
self._time_span = 5.0 # This is in seconds
self._update_interval = 100
self.update_timer.setInterval(self._update_interval)
self._update_mode = PyDMTimePlot.SynchronousMode
for channel in init_y_channels:
self.addYChannel(channel)
def __init__(self, image=None, fillHistogram=True, bounds: tuple = None):
GraphicsWidget.__init__(self)
self.imageItem = lambda: None # fake a dead weakref
self.layout = QGraphicsGridLayout()
self.setLayout(self.layout)
self.layout.setContentsMargins(1, 1, 1, 1)
self.layout.setSpacing(0)
self.vb = ViewBox(parent=self)
# self.vb.setMaximumHeight(152)
# self.vb.setMinimumWidth(45)
self.vb.setMouseEnabled(x=True, y=False)
self.region = LinearRegionItem([0, 1], 'vertical', swapMode='block', bounds=bounds)
self.region.setZValue(1000)
self.vb.addItem(self.region)
self.region.lines[0].addMarker('<|', 0.5)
self.region.lines[1].addMarker('|>', 0.5)
self.region.sigRegionChanged.connect(self.regionChanging)
self.region.sigRegionChangeFinished.connect(self.regionChanged)
self.axis = AxisItem('bottom', linkView=self.vb, maxTickLength=-10, parent=self)
self.layout.addItem(self.axis, 1, 0)
self.layout.addItem(self.vb, 0, 0)
self.range = None
self.vb.sigRangeChanged.connect(self.viewRangeChanged)
self.plot = PlotCurveItem(pen=(200, 200, 200, 100))
# self.plot.rotate(90)
self.vb.addItem(self.plot)
self.fillHistogram(fillHistogram)
self._showRegions()
self.autoHistogramRange()
if image is not None:
self.setImageItem(image)
def __init__(self):
GraphicsView.__init__(self)
# create layout
self.layout = pg.GraphicsLayout()
self.layout.setContentsMargins(0, 0, 0, 0)
self.layout.setSpacing(-1.)
self.setBackground(None)
self.setCentralItem(self.layout)
# create axes and apply formatting
axisItems = dict()
for pos in ['bottom', 'left', 'top', 'right']:
axisItems[pos] = AxisItem(orientation=pos, maxTickLength=-7)
self.p = PlotItem(axisItems=axisItems)
self.setTitle('Sweep data', fontScaling=1.3, color='k')
self.layout.addItem(self.p)
self.p.vb.setBackgroundColor('w')
self.p.setContentsMargins(10, 10, 10, 10)
for pos in ['bottom', 'left', 'top', 'right']:
ax = self.p.getAxis(pos)
ax.setZValue(0) # draw on top of patch
ax.setVisible(True) # make all axes visible
ax.setPen(width=self.LW * 2 / 3,
color=0.5) # grey spines and ticks
try:
ax.setTextPen('k') # black text
except AttributeError:
pass
ax.setStyle(autoExpandTextSpace=True, tickTextOffset=4)
self.p.getAxis('top').setTicks([])
self.p.getAxis('top').setHeight(0)
self.p.getAxis('right').setTicks([])
self.x_axis = self.p.getAxis('bottom')
self.y_axis = self.p.getAxis('left')
self.x_axis.setLabel('Voltage', units='V', color='k', size='12pt')
self.y_axis.setLabel('Current', units='A', color='k', size='12pt')
self.y_axis.setStyle(tickTextWidth=35)
# set auto range and mouse panning / zooming
self.p.enableAutoRange(x=True, y=True)
self.p.setLimits(xMin=-1e20, xMax=1e20, yMin=-1e20, yMax=1e20)
def suggestPadding(axis):
length = self.p.vb.width() if axis == 0 else self.p.vb.height()
if length > 0:
if axis == 0:
padding = 0
else:
padding = np.clip(1. / (length**0.5), 0.02, 0.1)
else:
padding = 0.02
return padding
self.p.vb.suggestPadding = suggestPadding
# set default ranges to start
self.p.setXRange(-10, 10)
self.p.setYRange(-10, 10)
# add legend
self.legend = LegendItem(brush=fn.mkBrush(255, 255, 255, 150),
labelTextColor='k',
offset=(20, -20))
self.legend.setParentItem(self.p.vb)
def _load_analysis(self, x_axis_scale):
this_question = db.question.find_one({'_id': self.index})
title = this_question['title']
content = this_question['content']
time_tuple = localtime(this_question['created_time'])
question_created_time = "%d-%d-%d %d:%d:%d" % (
time_tuple.tm_year, time_tuple.tm_mon, time_tuple.tm_mday,
time_tuple.tm_hour, time_tuple.tm_min, time_tuple.tm_sec)
if content != '':
self.textEdit.setText(title + '\n\n 提问时间：' +
question_created_time + '\n 问题描述：\n' +
content)
else:
self.textEdit.setText(title + '\n\n 提问时间：' +
question_created_time)
trend = db.question_trend.find_one({'_id': self.index})
time_trend = trend['time']
str_time = []
for num_time in time_trend:
local_time = localtime(num_time)
str_time.append("%d-%d\n%d:%d\n" %
(local_time.tm_mon, local_time.tm_mday,
local_time.tm_hour, local_time.tm_min))
ticks = [(i, j) for i, j in zip(time_trend, str_time)]
rank_trend = trend['rank']
convert_rank = [51 - i for i in rank_trend]
rank_ticks = [(i, j) for i, j in zip(convert_rank, rank_trend)]
rankAxis = AxisItem(orientation='left')
rankAxis.setTicks([
rank_ticks,
])
strAxis = AxisItem(orientation='bottom', maxTickLength=5)
strAxis.setTicks([
ticks,
])
rank_plot = PlotWidget(axisItems={
'bottom': strAxis,
'left': rankAxis
},
background=None)
rank_plot.setObjectName("tab")
rank_plot.plot(x=time_trend,
y=convert_rank,
pen=(0, 255, 0),
symbol='o')
rank_plot.enableAutoRange('x', x_axis_scale)
self._add_analysis_tab(rank_plot, '排名')
heat_trend = trend['heat']
# strAxis.setStyle(autoExpandTextSpace=True)
strAxis = AxisItem(orientation='bottom', maxTickLength=5)
strAxis.setTicks([
ticks,
])
heat_plot = PlotWidget(axisItems={'bottom': strAxis}, background=None)
heat_plot.setObjectName("tab")
heat_plot.plot(x=time_trend, y=heat_trend, pen=(255, 0, 0), symbol='o')
heat_plot.enableAutoRange('x', x_axis_scale)
self._add_analysis_tab(heat_plot, '热度')
answer_count_trend = trend['answer_count']
strAxis = AxisItem(orientation='bottom', maxTickLength=5)
strAxis.setTicks([
ticks,
])
answer_count_plot = PlotWidget(axisItems={'bottom': strAxis},
background=None)
answer_count_plot.setObjectName("tab")
answer_count_plot.plot(x=time_trend,
y=answer_count_trend,
pen=(0, 0, 255),
symbol='o')
answer_count_plot.enableAutoRange('x', x_axis_scale)
self._add_analysis_tab(answer_count_plot, '回答量')
follower_count_trend = trend['follower_count']
strAxis = AxisItem(orientation='bottom', maxTickLength=5)
strAxis.setTicks([
ticks,
])
follower_count_plot = PlotWidget(axisItems={'bottom': strAxis},
background=None)
follower_count_plot.setObjectName("tab")
follower_count_plot.plot(x=time_trend,
y=follower_count_trend,
pen=(19, 234, 201),
symbolBrush=(19, 234, 201),
symbol='o',
symbolPen='w')
follower_count_plot.enableAutoRange('x', x_axis_scale)
self._add_analysis_tab(follower_count_plot, '关注数')
visitor_count_trend = trend['visitor_count']
strAxis = AxisItem(orientation='bottom', maxTickLength=5)
strAxis.setTicks([
ticks,
])
visitor_count_plot = PlotWidget(axisItems={'bottom': strAxis},
background=None)
visitor_count_plot.setObjectName("tab")
visitor_count_plot.plot(x=time_trend,
y=visitor_count_trend,
pen=(195, 46, 212),
symbolBrush=(195, 46, 212),
symbol='t',
symbolPen='w')
visitor_count_plot.enableAutoRange('x', x_axis_scale)
self._add_analysis_tab(visitor_count_plot, '浏览量')
def __init__(self, parent, shared_data):
super(DataWidget, self).__init__(parent)
self.__shared_data = shared_data
self.__shared_data.update_sync.emit()
# Add the file selection controls
self.__dir_picker_button = QPushButton()
self.__dir_picker_button.setEnabled(True)
self.__dir_picker_button.setText("Load data")
self.__dir_picker_button.setIcon(self.style().standardIcon(QStyle.SP_DirIcon))
self.__dir_picker_button.setToolTip('Select the directory using the file explorer')
self.__dir_picker_button.clicked.connect(self.__open_dir_picker)
# Add the sync controls
self.__sync_time_label = QLabel()
self.__sync_time_label.setText('Enter the timecode (HH:mm:ss:zzz) : ')
self.__sync_time_edit = QTimeEdit()
self.__sync_time_edit.setDisplayFormat('HH:mm:ss:zzz')
self.__sync_time_edit.setEnabled(False)
self.__sync_time_button = QPushButton()
self.__sync_time_button.setText('Sync data')
self.__sync_time_button.setEnabled(False)
self.__sync_time_button.clicked.connect(self.__sync_data)
# Create the layout for the file controls
dir_layout = QHBoxLayout()
dir_layout.setContentsMargins(0, 0, 0, 0)
dir_layout.addWidget(self.__dir_picker_button)
dir_layout.addStretch(1)
dir_layout.addWidget(self.__sync_time_label)
dir_layout.addWidget(self.__sync_time_edit)
dir_layout.addWidget(self.__sync_time_button)
# Create the axis and their viewbox
self.__x_axis_item = AxisItem('left')
self.__y_axis_item = AxisItem('left')
self.__z_axis_item = AxisItem('left')
self.__x_axis_viewbox = ViewBox()
self.__y_axis_viewbox = ViewBox()
self.__z_axis_viewbox = ViewBox()
# Create the widget which will display the data
self.__graphic_view = GraphicsView(background="#ecf0f1")
self.__graphic_layout = GraphicsLayout()
self.__graphic_view.setCentralWidget(self.__graphic_layout)
# Add the axis to the widget
self.__graphic_layout.addItem(self.__x_axis_item, row=2, col=3, rowspan=1, colspan=1)
self.__graphic_layout.addItem(self.__y_axis_item, row=2, col=2, rowspan=1, colspan=1)
self.__graphic_layout.addItem(self.__z_axis_item, row=2, col=1, rowspan=1, colspan=1)
self.__plot_item = PlotItem()
self.__plot_item_viewbox = self.__plot_item.vb
self.__graphic_layout.addItem(self.__plot_item, row=2, col=4, rowspan=1, colspan=1)
self.__graphic_layout.scene().addItem(self.__x_axis_viewbox)
self.__graphic_layout.scene().addItem(self.__y_axis_viewbox)
self.__graphic_layout.scene().addItem(self.__z_axis_viewbox)
self.__x_axis_item.linkToView(self.__x_axis_viewbox)
self.__y_axis_item.linkToView(self.__y_axis_viewbox)
self.__z_axis_item.linkToView(self.__z_axis_viewbox)
self.__x_axis_viewbox.setXLink(self.__plot_item_viewbox)
self.__y_axis_viewbox.setXLink(self.__plot_item_viewbox)
self.__z_axis_viewbox.setXLink(self.__plot_item_viewbox)
self.__plot_item_viewbox.sigResized.connect(self.__update_views)
self.__x_axis_viewbox.enableAutoRange(axis=ViewBox.XAxis, enable=True)
self.__y_axis_viewbox.enableAutoRange(axis=ViewBox.XAxis, enable=True)
self.__z_axis_viewbox.enableAutoRange(axis=ViewBox.XAxis, enable=True)
# Create the final layout
self.__v_box = QVBoxLayout()
self.__v_box.addLayout(dir_layout)
self.__v_box.addWidget(self.__graphic_view)
self.setLayout(self.__v_box)
self.__restore_state()
def __init__(self, *args, **kwargs):
AxisItem.__init__(self, *args, **kwargs)
self._oldAxis = None
def __init__(self,
parent=None,
image_channel=None,
xaxis_channel=None,
yaxis_channel=None,
roioffsetx_channel=None,
roioffsety_channel=None,
roiwidth_channel=None,
roiheight_channel=None,
title='',
background='w',
image_width=0,
image_height=0):
"""Initialize widget."""
GraphicsLayoutWidget.__init__(self, parent)
PyDMWidget.__init__(self)
self.thread = None
self._imagechannel = None
self._xaxischannel = None
self._yaxischannel = None
self._roioffsetxchannel = None
self._roioffsetychannel = None
self._roiwidthchannel = None
self._roiheightchannel = None
self._channels = 7 * [
None,
]
self.image_waveform = np.zeros(0)
self._image_width = image_width if not xaxis_channel else 0
self._image_height = image_height if not yaxis_channel else 0
self._roi_offsetx = 0
self._roi_offsety = 0
self._roi_width = 0
self._roi_height = 0
self._normalize_data = False
self._auto_downsample = True
self._last_yaxis_data = None
self._last_xaxis_data = None
self._auto_colorbar_lims = True
self.format_tooltip = '{0:.4g}, {1:.4g}'
# ViewBox and imageItem.
self._view = ViewBox()
self._image_item = ImageItem()
self._view.addItem(self._image_item)
# ROI
self.ROICurve = PlotCurveItem([0, 0, 0, 0, 0], [0, 0, 0, 0, 0])
self.ROIColor = QColor('red')
pen = mkPen()
pen.setColor(QColor('transparent'))
pen.setWidth(1)
self.ROICurve.setPen(pen)
self._view.addItem(self.ROICurve)
# Axis.
self.xaxis = AxisItem('bottom')
self.xaxis.setPen(QColor(0, 0, 0))
if not xaxis_channel:
self.xaxis.setVisible(False)
self.yaxis = AxisItem('left')
self.yaxis.setPen(QColor(0, 0, 0))
if not yaxis_channel:
self.yaxis.setVisible(False)
# Colorbar legend.
self.colorbar = _GradientLegend()
# Title.
start_row = 0
if title:
self.title = LabelItem(text=title, color='#000000')
self.addItem(self.title, 0, 0, 1, 3)
start_row = 1
# Set layout.
self.addItem(self._view, start_row, 1)
self.addItem(self.yaxis, start_row, 0)
self.addItem(self.colorbar, start_row, 2)
self.addItem(self.xaxis, start_row + 1, 1)
self.setBackground(background)
self.ci.layout.setColumnSpacing(0, 0)
self.ci.layout.setRowSpacing(start_row, 0)
# Set color map limits.
self.cm_min = 0.0
self.cm_max = 255.0
# Set default reading order of numpy array data to Clike.
self._reading_order = ReadingOrder.Clike
# Make a right-click menu for changing the color map.
self.cm_group = QActionGroup(self)
self.cmap_for_action = {}
for cm in self.color_maps:
action = self.cm_group.addAction(cmap_names[cm])
action.setCheckable(True)
self.cmap_for_action[action] = cm
# Set the default colormap.
self._cm_colors = None
self.colorMap = PyDMColorMap.Inferno
# Setup the redraw timer.
self.needs_redraw = False
self.redraw_timer = QTimer(self)
self.redraw_timer.timeout.connect(self.redrawImage)
self._redraw_rate = 30
self.maxRedrawRate = self._redraw_rate
self.newImageSignal = self._image_item.sigImageChanged
# Set Channels.
self.imageChannel = image_channel
self.xAxisChannel = xaxis_channel
self.yAxisChannel = yaxis_channel
self.ROIOffsetXChannel = roioffsetx_channel
self.ROIOffsetYChannel = roioffsety_channel
self.ROIWidthChannel = roiwidth_channel
self.ROIHeightChannel = roiheight_channel
def __init__(self, directory='.', **kwargs):
super(astraPlotWidget, self).__init__(**kwargs)
self.beam = raf.beam()
self.twiss = rtf.twiss()
self.directory = directory
''' twissPlotWidget '''
self.twissPlotView = GraphicsView(useOpenGL=True)
self.twissPlotWidget = GraphicsLayout()
self.twissPlotView.setCentralItem(self.twissPlotWidget)
self.latticePlotData = imageio.imread(
os.path.dirname(os.path.abspath(__file__)) + '/lattice_plot.png')
self.latticePlots = {}
self.twissPlots = {}
i = -1
for entry in self.twissplotLayout:
if entry == 'next_row':
self.twissPlotWidget.nextRow()
else:
i += 1
p = self.twissPlotWidget.addPlot(title=entry['name'])
p.showGrid(x=True, y=True)
vb = p.vb
vb.setYRange(*entry['range'])
latticePlot = ImageItem(self.latticePlotData)
latticePlot.setOpts(axisOrder='row-major')
vb.addItem(latticePlot)
latticePlot.setZValue(-1) # make sure this image is on top
# latticePlot.setOpacity(0.5)
self.twissPlots[entry['name']] = p.plot(
pen=mkPen('b', width=3))
self.latticePlots[p.vb] = latticePlot
p.vb.sigRangeChanged.connect(self.scaleLattice)
''' beamPlotWidget '''
self.beamPlotWidget = QWidget()
self.beamPlotLayout = QVBoxLayout()
self.beamPlotWidget.setLayout(self.beamPlotLayout)
#
# self.beamPlotChoice =
#
self.beamPlotAxisWidget = QWidget()
self.beamPlotAxisWidget.setMaximumHeight(100)
Form = self.beamPlotAxisWidget
self.beamPlotXAxisDict = OrderedDict()
self.beamPlotXAxisDict['x'] = {'scale': 1e3, 'axis': 'x [mm]'}
self.beamPlotXAxisDict['y'] = {'scale': 1e3, 'axis': 'y [mm]'}
self.beamPlotXAxisDict['z'] = {
'scale': 1e6,
'axis': 'z [micron]',
'norm': True
}
self.beamPlotXAxisDict['t'] = {
'scale': 1e12,
'axis': 't [ps]',
'norm': True
}
self.beamPlotXAxisDict['cpx'] = {'scale': 1e3, 'axis': 'cpx [keV]'}
self.beamPlotXAxisDict['cpy'] = {'scale': 1e3, 'axis': 'cpy [keV]'}
self.beamPlotXAxisDict['BetaGamma'] = {
'scale': 0.511,
'axis': 'cp [MeV]'
}
# Form.setObjectName(("Form"))
# Form.resize(874, 212)
sizePolicy = QSizePolicy(QSizePolicy.Preferred, QSizePolicy.Preferred)
sizePolicy.setHorizontalStretch(0)
sizePolicy.setVerticalStretch(0)
sizePolicy.setHeightForWidth(Form.sizePolicy().hasHeightForWidth())
Form.setSizePolicy(sizePolicy)
self.horizontalLayout = QHBoxLayout(Form)
self.horizontalLayout.setObjectName("horizontalLayout")
self.beamPlotXAxisCombo = QComboBox(Form)
self.beamPlotXAxisCombo.addItems(list(self.beamPlotXAxisDict.keys()))
self.beamPlotXAxisCombo.setCurrentIndex(2)
self.horizontalLayout.addWidget(self.beamPlotXAxisCombo)
self.beamPlotYAxisCombo = QComboBox(Form)
self.beamPlotYAxisCombo.addItems(list(self.beamPlotXAxisDict.keys()))
self.beamPlotYAxisCombo.setCurrentIndex(6)
self.horizontalLayout.addWidget(self.beamPlotYAxisCombo)
self.groupBox = QGroupBox(Form)
self.groupBox.setObjectName("groupBox")
self.formLayout = QFormLayout(self.groupBox)
self.formLayout.setFieldGrowthPolicy(QFormLayout.AllNonFixedFieldsGrow)
self.formLayout.setObjectName("formLayout")
self.chooseSliceWidth = QRadioButton(self.groupBox)
self.chooseSliceWidth.setObjectName(("chooseSliceWidth"))
self.formLayout.setWidget(0, QFormLayout.LabelRole,
self.chooseSliceWidth)
self.sliceWidth = QDoubleSpinBox(self.groupBox)
self.sliceWidth.setDecimals(6)
self.sliceWidth.setObjectName("sliceWidth")
self.formLayout.setWidget(0, QFormLayout.FieldRole, self.sliceWidth)
self.chooseSliceNumber = QRadioButton(self.groupBox)
self.chooseSliceNumber.setChecked(True)
self.chooseSliceNumber.setObjectName("chooseSliceNumber")
self.formLayout.setWidget(1, QFormLayout.LabelRole,
self.chooseSliceNumber)
self.sliceNumber = QSpinBox(self.groupBox)
self.sliceNumber.setObjectName(("sliceNumber"))
self.formLayout.setWidget(1, QFormLayout.FieldRole, self.sliceNumber)
self.horizontalLayout.addWidget(self.groupBox)
self.chooseSliceWidth.setText(_translate("Form", "Slice Width", None))
self.chooseSliceNumber.setText(
_translate("Form", "Number of Slices", None))
self.sliceWidth.setRange(1e-6, 1)
self.sliceWidth.setSingleStep(0.00001)
self.histogramWidth = 0.0005
self.sliceWidth.setValue(self.histogramWidth)
# self.sliceNumber = QSpinBox()
self.sliceNumber.setRange(10, 10000)
self.sliceNumber.setSingleStep(10)
self.histogramBins = 100
self.sliceNumber.setValue(self.histogramBins)
# self.beamPlotXAxisCombo = QComboBox()
# self.beamPlotAxisLayout = QHBoxLayout()
# self.beamPlotAxisWidget.setLayout(self.beamPlotAxisLayout)
# self.beamPlotAxisLayout.addWidget(self.beamPlotXAxisCombo)
# self.beamPlotAxisLayout.addWidget(self.beamPlotYAxisCombo)
# self.beamPlotAxisLayout.addWidget(self.beamPlotNumberBins)
self.beamPlotXAxisCombo.currentIndexChanged.connect(self.plotDataBeam)
self.beamPlotYAxisCombo.currentIndexChanged.connect(self.plotDataBeam)
self.chooseSliceNumber.toggled.connect(self.plotDataBeam)
self.sliceNumber.valueChanged.connect(self.plotDataBeam)
self.sliceWidth.valueChanged.connect(self.plotDataBeam)
# self.beamPlotXAxisCombo.setCurrentIndex(2)
# self.beamPlotYAxisCombo.setCurrentIndex(5)
self.canvasWidget = QWidget()
l = QVBoxLayout(self.canvasWidget)
self.sc = MyStaticMplCanvas(self.canvasWidget,
width=1,
height=1,
dpi=150)
l.addWidget(self.sc)
self.beamPlotLayout.addWidget(self.beamPlotAxisWidget)
self.beamPlotLayout.addWidget(self.canvasWidget)
''' slicePlotWidget '''
self.sliceParams = [
{
'name': 'slice_normalized_horizontal_emittance',
'units': 'm-rad',
'text': 'enx'
},
{
'name': 'slice_normalized_vertical_emittance',
'units': 'm-rad',
'text': 'eny'
},
{
'name': 'slice_peak_current',
'units': 'A',
'text': 'PeakI'
},
{
'name': 'slice_relative_momentum_spread',
'units': '%',
'text': 'sigma-p'
},
{
'name': 'slice_beta_x',
'units': 'm',
'text': 'beta_x'
},
{
'name': 'slice_beta_y',
'units': 'm',
'text': 'beta_y'
},
]
self.slicePlotWidget = QWidget()
self.slicePlotLayout = QVBoxLayout()
self.slicePlotWidget.setLayout(self.slicePlotLayout)
# self.slicePlotView = GraphicsView(useOpenGL=True)
self.slicePlotWidgetGraphicsLayout = GraphicsLayoutWidget()
# self.slicePlots = {}
self.slicePlotCheckbox = {}
self.curve = {}
self.sliceaxis = {}
self.slicePlotCheckboxWidget = QWidget()
self.slicePlotCheckboxLayout = QVBoxLayout()
self.slicePlotCheckboxWidget.setLayout(self.slicePlotCheckboxLayout)
self.slicePlot = self.slicePlotWidgetGraphicsLayout.addPlot(
title='Slice', row=0, col=50)
self.slicePlot.showAxis('left', False)
self.slicePlot.showGrid(x=True, y=True)
i = -1
colors = ['b', 'r', 'g', 'k', 'y', 'm', 'c']
for param in self.sliceParams:
i += 1
axis = AxisItem("left")
labelStyle = {'color': '#' + colorStr(mkColor(colors[i]))[0:-2]}
axis.setLabel(text=param['text'],
units=param['units'],
**labelStyle)
viewbox = ViewBox()
axis.linkToView(viewbox)
viewbox.setXLink(self.slicePlot.vb)
self.sliceaxis[param['name']] = [axis, viewbox]
self.curve[param['name']] = PlotDataItem(pen=colors[i], symbol='+')
viewbox.addItem(self.curve[param['name']])
col = self.findFirstEmptyColumnInGraphicsLayout()
self.slicePlotWidgetGraphicsLayout.ci.addItem(axis,
row=0,
col=col,
rowspan=1,
colspan=1)
self.slicePlotWidgetGraphicsLayout.ci.addItem(viewbox,
row=0,
col=50)
p.showGrid(x=True, y=True)
# self.slicePlots[param] = self.slicePlot.plot(pen=colors[i], symbol='+')
self.slicePlotCheckbox[param['name']] = QCheckBox(param['text'])
self.slicePlotCheckboxLayout.addWidget(
self.slicePlotCheckbox[param['name']])
self.slicePlotCheckbox[param['name']].stateChanged.connect(
self.plotDataSlice)
# self.slicePlotView.setCentralItem(self.slicePlotWidgetGraphicsLayout)
self.slicePlotSliceWidthWidget = QSpinBox()
self.slicePlotSliceWidthWidget.setMaximum(500)
self.slicePlotSliceWidthWidget.setValue(100)
self.slicePlotSliceWidthWidget.setSingleStep(10)
self.slicePlotSliceWidthWidget.setSuffix(" slices")
self.slicePlotSliceWidthWidget.setSpecialValueText('Automatic')
self.slicePlotAxisWidget = QWidget()
self.slicePlotAxisLayout = QHBoxLayout()
self.slicePlotAxisWidget.setLayout(self.slicePlotAxisLayout)
self.slicePlotAxisLayout.addWidget(self.slicePlotCheckboxWidget)
self.slicePlotAxisLayout.addWidget(self.slicePlotSliceWidthWidget)
# self.slicePlotXAxisCombo.currentIndexChanged.connect(self.plotDataSlice)
self.slicePlotSliceWidthWidget.valueChanged.connect(
self.changeSliceLength)
# self.beamPlotXAxisCombo.setCurrentIndex(2)
# self.beamPlotYAxisCombo.setCurrentIndex(5)
self.slicePlotLayout.addWidget(self.slicePlotAxisWidget)
self.slicePlotLayout.addWidget(self.slicePlotWidgetGraphicsLayout)
self.layout = QVBoxLayout()
self.setLayout(self.layout)
self.tabWidget = QTabWidget()
self.folderButton = QPushButton('Select Directory')
self.folderLineEdit = QLineEdit()
self.folderLineEdit.setReadOnly(True)
self.folderLineEdit.setText(self.directory)
self.reloadButton = QPushButton()
self.reloadButton.setIcon(qApp.style().standardIcon(
QStyle.SP_BrowserReload))
self.folderWidget = QGroupBox()
self.folderLayout = QHBoxLayout()
self.folderLayout.addWidget(self.folderButton)
self.folderLayout.addWidget(self.folderLineEdit)
self.folderLayout.addWidget(self.reloadButton)
self.folderWidget.setLayout(self.folderLayout)
self.folderWidget.setMaximumWidth(800)
self.reloadButton.clicked.connect(
lambda: self.changeDirectory(self.directory))
self.folderButton.clicked.connect(self.changeDirectory)
self.fileSelector = QComboBox()
self.fileSelector.currentIndexChanged.connect(self.updateScreenCombo)
self.screenSelector = QComboBox()
self.screenSelector.currentIndexChanged.connect(self.changeScreen)
self.beamWidget = QGroupBox()
self.beamLayout = QHBoxLayout()
self.beamLayout.addWidget(self.fileSelector)
self.beamLayout.addWidget(self.screenSelector)
self.beamWidget.setLayout(self.beamLayout)
self.beamWidget.setMaximumWidth(800)
self.beamWidget.setVisible(False)
self.folderBeamWidget = QWidget()
self.folderBeamLayout = QHBoxLayout()
self.folderBeamLayout.setAlignment(Qt.AlignLeft)
self.folderBeamWidget.setLayout(self.folderBeamLayout)
self.folderBeamLayout.addWidget(self.folderWidget)
self.folderBeamLayout.addWidget(self.beamWidget)
self.tabWidget.addTab(self.twissPlotView, 'Twiss Plots')
self.tabWidget.addTab(self.beamPlotWidget, 'Beam Plots')
self.tabWidget.addTab(self.slicePlotWidget, 'Slice Beam Plots')
# self.log = lw.loggerWidget()
# self.log.addLogger(logger)
# sys.stdout = lw.redirectLogger(self.log, 'stdout')
# self.tabWidget.addTab(self.log,'Log')
self.tabWidget.currentChanged.connect(self.changeTab)
self.layout.addWidget(self.folderBeamWidget)
self.layout.addWidget(self.tabWidget)
self.plotType = 'Twiss'
self.changeDirectory(self.directory)
def __init__(self, x_sampling, x_range, n_axis, y_min, y_max, x_size,
y_size, color, name, unit): #Construtor da classe
super(Graph,
self).__init__() #Instanciamento do construtor da classe mãe
self.offset = []
self.correctFactor = []
self.n_axis = n_axis
for n in range(0, n_axis):
self.offset.append(y_min[n] - min(y_min))
self.correctFactor.append(
(max(y_max) - min(y_min)) / (y_max[n] - y_min[n]))
print(n)
print(" ")
print(self.offset)
print(" ")
print(self.correctFactor)
print("\n\n")
self.x_range = x_range / x_sampling #Correção de escala coerente com a amostragem
self.curve = [] #Declaração do array de curvas
self.axis = [] #Declaração do array de eixos
self.y = [] #Declaração da matriz de valores das curvas
self.curve.append(self.plot(pen=color[0],
name=name[0])) #Plotagem da primeira curva
self.axis.append(AxisItem(
"left", color[0])) #Primeiro eixo fica à esquerda do gráfico
self.axis[0].setLabel(
name[0], unit[0]
) #Configuração do primeiro eixo com seu nome e sua respectiva unidade
self.axis[0].setRange(
y_min[0],
y_max[0]) #Configuração do primeiro eixo com seu respectivo range
y_axis = np.array(
[]) #Plotagem de array vazio para base do array de valores de y
self.y.append(
y_axis) #Adição dos array de valores da primeira curva vazio
for n in range(
1, n_axis
): #Repetição do ultimo grupo de comandos, porém aplicando-se a todos os eixos e curvas consecutivos
self.curve.append(self.plot(pen=color[n], name=name[n]))
self.axis.append(AxisItem("right", color[n]))
self.axis[n].setLabel(name[n], unit[n])
self.axis[n].setRange(y_min[n], y_max[n])
self.y.append(y_axis)
self.axisTime = AxisItem("bottom", 'w') #Declaração do eixo de tempo
self.axisTime.setLabel(
"Tempo",
's') #Configuração do eixo de tempo com seu nome e unidade
self.axisTime.setRange(
0, x_range) #Configuração da escala do eixo de tempo
self.setXRange(0, self.x_range,
padding=0) #Configuração da escala de tempo no gráfico
self.x = [] #Declaração do array de valores de tempo vazio
self.showAxis("left",
False) #Desativação dos eixos convencionais do gráfico
self.showAxis("bottom", False)
self.setMinimumSize(x_size, y_size) #Fixação do tamanho do gráfico
self.setYRange(
min(y_min), max(y_max), padding=0
) #Configuração da escala Y real do gráfico (Cada curva deve se adequar à sua respectiva escala)
self.showGrid(255, 255, 1)
class Graph(PlotItem): #Herança de pyqtgraph.PlotItem
index = 0 #Valor de índice para controle de tamanho dos arrays
warningFlag = False
def __init__(self, x_sampling, x_range, n_axis, y_min, y_max, x_size,
y_size, color, name, unit): #Construtor da classe
super(Graph,
self).__init__() #Instanciamento do construtor da classe mãe
self.offset = []
self.correctFactor = []
self.n_axis = n_axis
for n in range(0, n_axis):
self.offset.append(y_min[n] - min(y_min))
self.correctFactor.append(
(max(y_max) - min(y_min)) / (y_max[n] - y_min[n]))
print(n)
print(" ")
print(self.offset)
print(" ")
print(self.correctFactor)
print("\n\n")
self.x_range = x_range / x_sampling #Correção de escala coerente com a amostragem
self.curve = [] #Declaração do array de curvas
self.axis = [] #Declaração do array de eixos
self.y = [] #Declaração da matriz de valores das curvas
self.curve.append(self.plot(pen=color[0],
name=name[0])) #Plotagem da primeira curva
self.axis.append(AxisItem(
"left", color[0])) #Primeiro eixo fica à esquerda do gráfico
self.axis[0].setLabel(
name[0], unit[0]
) #Configuração do primeiro eixo com seu nome e sua respectiva unidade
self.axis[0].setRange(
y_min[0],
y_max[0]) #Configuração do primeiro eixo com seu respectivo range
y_axis = np.array(
[]) #Plotagem de array vazio para base do array de valores de y
self.y.append(
y_axis) #Adição dos array de valores da primeira curva vazio
for n in range(
1, n_axis
): #Repetição do ultimo grupo de comandos, porém aplicando-se a todos os eixos e curvas consecutivos
self.curve.append(self.plot(pen=color[n], name=name[n]))
self.axis.append(AxisItem("right", color[n]))
self.axis[n].setLabel(name[n], unit[n])
self.axis[n].setRange(y_min[n], y_max[n])
self.y.append(y_axis)
self.axisTime = AxisItem("bottom", 'w') #Declaração do eixo de tempo
self.axisTime.setLabel(
"Tempo",
's') #Configuração do eixo de tempo com seu nome e unidade
self.axisTime.setRange(
0, x_range) #Configuração da escala do eixo de tempo
self.setXRange(0, self.x_range,
padding=0) #Configuração da escala de tempo no gráfico
self.x = [] #Declaração do array de valores de tempo vazio
self.showAxis("left",
False) #Desativação dos eixos convencionais do gráfico
self.showAxis("bottom", False)
self.setMinimumSize(x_size, y_size) #Fixação do tamanho do gráfico
self.setYRange(
min(y_min), max(y_max), padding=0
) #Configuração da escala Y real do gráfico (Cada curva deve se adequar à sua respectiva escala)
self.showGrid(255, 255, 1)
def updateGraph(self, y):
self.axis[1].setGrid(255)
y_dim = len(y)
if (y_dim < self.n_axis and self.warningFlag
== False): #Emissão de aviso caso hajam menos dados que curvas
error = QtWidgets.QMessageBox()
error.setText(
"Array enviado possui %(a)d valores, necessário no mínimo %(b)d valores. Os %(c)dº primeiros gráficos "
"serão setados com os valores recebidos a partir de então" % {
"a": len(y),
"b": int(self.n_axis),
"c": len(y)
})
error.setWindowTitle(
"Aviso: Dados recebidos menor que o número de curvas")
error.exec()
self.warningFlag = True
if (y_dim > self.n_axis and self.warningFlag
== False): #Emissão de aviso caso hajam mais dados que curvas
error = QtWidgets.QMessageBox()
error.setText(
"Array enviado possui %(a)d valores, necessário no máximo %(b)d valores. Os gráficos serão atualizados "
"com os %(c)d primeiros valores recebidos" % {
"a": len(y),
"b": int(self.n_axis),
"c": int(self.n_axis)
})
error.setWindowTitle(
"Aviso: Dados recebidos maior que o número de curvas")
error.exec()
self.warningFlag = True
y_dim = self.n_axis
for n in range(0, y_dim):
try:
self.y[n] = np.append(
self.y[n],
(float(y[n]) - self.offset[n]) * self.correctFactor[n]
) # Cada valor contido no array y vai para seu respectivo array com sua respectiva escala
except ValueError:
print("ERROR")
for n in range(
0, y_dim
): #Quando o mesmo chega no valor máximo (definido pela escala+amostragem)
if len(
self.y[n]
) > self.x_range + 1: #Tamanho do array de tempo deve ser igual ao de cada curva
self.y[n] = np.delete(
self.y[n], 0
) #O valor de índice 0 é removido para que um novo valor possa entrar no maior indice
self.index = self.x_range #Valor de índice quando chega no máximo, é mantido nele
elif n == 0:
self.x.append(
self.index
) #Se o tamanho do array ainda não chegou ao seu máximo, então valores vão sendo adicionados no array de tempo
for n in range(0, y_dim):
self.curve[n].setData(
self.x,
self.y[n]) #Replotagem das curvas com valores atualizados
self.index += 1 #Valor de índice é aumentado
def __init__(self, image=None, fillHistogram=True, rgbHistogram=False, levelMode='mono'):
GraphicsWidget.__init__(self)
self.overlay = False
self.lut = None
self.imageItem = lambda: None # fake a dead weakref
self.levelMode = levelMode
self.rgbHistogram = rgbHistogram
self.layout = QtGui.QGraphicsGridLayout()
self.setLayout(self.layout)
self.layout.setContentsMargins(1,1,1,1)
self.layout.setSpacing(0)
self.vb = ViewBox(parent=self)
self.vb.setMaximumWidth(152)
self.vb.setMinimumWidth(45)
self.vb.setMouseEnabled(x=False, y=True)
self.gradient = GradientEditorItem()
self.gradient.setOrientation('right')
self.gradient.loadPreset('grey')
self.regions = [
LinearRegionItem([0, 1], 'horizontal', swapMode='block'),
LinearRegionItem([0, 1], 'horizontal', swapMode='block', pen='r',
brush=fn.mkBrush((255, 50, 50, 50)), span=(0., 1/3.)),
LinearRegionItem([0, 1], 'horizontal', swapMode='block', pen='g',
brush=fn.mkBrush((50, 255, 50, 50)), span=(1/3., 2/3.)),
LinearRegionItem([0, 1], 'horizontal', swapMode='block', pen='b',
brush=fn.mkBrush((50, 50, 255, 80)), span=(2/3., 1.)),
LinearRegionItem([0, 1], 'horizontal', swapMode='block', pen='w',
brush=fn.mkBrush((255, 255, 255, 50)), span=(2/3., 1.))]
for region in self.regions:
region.setZValue(1000)
self.vb.addItem(region)
region.lines[0].addMarker('<|', 0.5)
region.lines[1].addMarker('|>', 0.5)
region.sigRegionChanged.connect(self.regionChanging)
region.sigRegionChangeFinished.connect(self.regionChanged)
self.region = self.regions[0] # for backward compatibility.
self.axis = AxisItem('left', linkView=self.vb, maxTickLength=-10, parent=self)
self.layout.addItem(self.axis, 0, 0)
self.layout.addItem(self.vb, 0, 1)
self.layout.addItem(self.gradient, 0, 2)
self.range = None
self.gradient.setFlag(self.gradient.ItemStacksBehindParent)
self.vb.setFlag(self.gradient.ItemStacksBehindParent)
self.gradient.sigGradientChanged.connect(self.gradientChanged)
self.vb.sigRangeChanged.connect(self.viewRangeChanged)
add = QtGui.QPainter.CompositionMode_Plus
self.plots = [
PlotCurveItem(pen=(200, 200, 200, 100)), # mono
PlotCurveItem(pen=(255, 0, 0, 100), compositionMode=add), # r
PlotCurveItem(pen=(0, 255, 0, 100), compositionMode=add), # g
PlotCurveItem(pen=(0, 0, 255, 100), compositionMode=add), # b
PlotCurveItem(pen=(200, 200, 200, 100), compositionMode=add), # a
]
self.plot = self.plots[0] # for backward compatibility.
for plot in self.plots:
plot.rotate(90)
self.vb.addItem(plot)
self.fillHistogram(fillHistogram)
self._showRegions()
self.vb.addItem(self.plot)
self.autoHistogramRange()
if image is not None:
self.setImageItem(image)
def __init__(self, *args, **kwargs):
AxisItem.__init__(self, *args, **kwargs)
self._oldAxis = None
self.enableAutoSIPrefix(enable=False)
class SiriusSpectrogramView(GraphicsLayoutWidget, PyDMWidget, PyDMColorMap,
ReadingOrder):
"""
A SpectrogramView with support for Channels and more from PyDM.
If there is no :attr:`channelWidth` it is possible to define the width of
the image with the :attr:`width` property.
The :attr:`normalizeData` property defines if the colors of the images are
relative to the :attr:`colorMapMin` and :attr:`colorMapMax` property or to
the minimum and maximum values of the image.
Use the :attr:`newImageSignal` to hook up to a signal that is emitted when
a new image is rendered in the widget.
Parameters
----------
parent : QWidget
The parent widget for the Label
image_channel : str, optional
The channel to be used by the widget for the image data.
xaxis_channel : str, optional
The channel to be used by the widget to receive the image width
(if ReadingOrder == Clike), and to set the xaxis values
yaxis_channel : str, optional
The channel to be used by the widget to receive the image width
(if ReadingOrder == Fortranlike), and to set the yaxis values
background : QColor, optional
QColor to set the background color of the GraphicsView
"""
Q_ENUMS(PyDMColorMap)
Q_ENUMS(ReadingOrder)
color_maps = cmaps
def __init__(self,
parent=None,
image_channel=None,
xaxis_channel=None,
yaxis_channel=None,
roioffsetx_channel=None,
roioffsety_channel=None,
roiwidth_channel=None,
roiheight_channel=None,
title='',
background='w',
image_width=0,
image_height=0):
"""Initialize widget."""
GraphicsLayoutWidget.__init__(self, parent)
PyDMWidget.__init__(self)
self.thread = None
self._imagechannel = None
self._xaxischannel = None
self._yaxischannel = None
self._roioffsetxchannel = None
self._roioffsetychannel = None
self._roiwidthchannel = None
self._roiheightchannel = None
self._channels = 7 * [
None,
]
self.image_waveform = np.zeros(0)
self._image_width = image_width if not xaxis_channel else 0
self._image_height = image_height if not yaxis_channel else 0
self._roi_offsetx = 0
self._roi_offsety = 0
self._roi_width = 0
self._roi_height = 0
self._normalize_data = False
self._auto_downsample = True
self._last_yaxis_data = None
self._last_xaxis_data = None
self._auto_colorbar_lims = True
self.format_tooltip = '{0:.4g}, {1:.4g}'
# ViewBox and imageItem.
self._view = ViewBox()
self._image_item = ImageItem()
self._view.addItem(self._image_item)
# ROI
self.ROICurve = PlotCurveItem([0, 0, 0, 0, 0], [0, 0, 0, 0, 0])
self.ROIColor = QColor('red')
pen = mkPen()
pen.setColor(QColor('transparent'))
pen.setWidth(1)
self.ROICurve.setPen(pen)
self._view.addItem(self.ROICurve)
# Axis.
self.xaxis = AxisItem('bottom')
self.xaxis.setPen(QColor(0, 0, 0))
if not xaxis_channel:
self.xaxis.setVisible(False)
self.yaxis = AxisItem('left')
self.yaxis.setPen(QColor(0, 0, 0))
if not yaxis_channel:
self.yaxis.setVisible(False)
# Colorbar legend.
self.colorbar = _GradientLegend()
# Title.
start_row = 0
if title:
self.title = LabelItem(text=title, color='#000000')
self.addItem(self.title, 0, 0, 1, 3)
start_row = 1
# Set layout.
self.addItem(self._view, start_row, 1)
self.addItem(self.yaxis, start_row, 0)
self.addItem(self.colorbar, start_row, 2)
self.addItem(self.xaxis, start_row + 1, 1)
self.setBackground(background)
self.ci.layout.setColumnSpacing(0, 0)
self.ci.layout.setRowSpacing(start_row, 0)
# Set color map limits.
self.cm_min = 0.0
self.cm_max = 255.0
# Set default reading order of numpy array data to Clike.
self._reading_order = ReadingOrder.Clike
# Make a right-click menu for changing the color map.
self.cm_group = QActionGroup(self)
self.cmap_for_action = {}
for cm in self.color_maps:
action = self.cm_group.addAction(cmap_names[cm])
action.setCheckable(True)
self.cmap_for_action[action] = cm
# Set the default colormap.
self._cm_colors = None
self.colorMap = PyDMColorMap.Inferno
# Setup the redraw timer.
self.needs_redraw = False
self.redraw_timer = QTimer(self)
self.redraw_timer.timeout.connect(self.redrawImage)
self._redraw_rate = 30
self.maxRedrawRate = self._redraw_rate
self.newImageSignal = self._image_item.sigImageChanged
# Set Channels.
self.imageChannel = image_channel
self.xAxisChannel = xaxis_channel
self.yAxisChannel = yaxis_channel
self.ROIOffsetXChannel = roioffsetx_channel
self.ROIOffsetYChannel = roioffsety_channel
self.ROIWidthChannel = roiwidth_channel
self.ROIHeightChannel = roiheight_channel
# --- Context menu ---
def widget_ctx_menu(self):
"""
Fetch the Widget specific context menu.
It will be populated with additional tools by `assemble_tools_menu`.
Returns
-------
QMenu or None
If the return of this method is None a new QMenu will be created by
`assemble_tools_menu`.
"""
self.menu = ViewBoxMenu(self._view)
cm_menu = self.menu.addMenu("Color Map")
for act in self.cmap_for_action.keys():
cm_menu.addAction(act)
cm_menu.triggered.connect(self._changeColorMap)
return self.menu
# --- Colormap methods ---
def _changeColorMap(self, action):
"""
Method invoked by the colormap Action Menu.
Changes the current colormap used to render the image.
Parameters
----------
action : QAction
"""
self.colorMap = self.cmap_for_action[action]
@Property(float)
def colorMapMin(self):
"""
Minimum value for the colormap.
Returns
-------
float
"""
return self.cm_min
@colorMapMin.setter
@Slot(float)
def colorMapMin(self, new_min):
"""
Set the minimum value for the colormap.
Parameters
----------
new_min : float
"""
if self.cm_min != new_min:
self.cm_min = new_min
if self.cm_min > self.cm_max:
self.cm_max = self.cm_min
@Property(float)
def colorMapMax(self):
"""
Maximum value for the colormap.
Returns
-------
float
"""
return self.cm_max
@colorMapMax.setter
@Slot(float)
def colorMapMax(self, new_max):
"""
Set the maximum value for the colormap.
Parameters
----------
new_max : float
"""
if self.cm_max != new_max:
self.cm_max = new_max
if self.cm_max < self.cm_min:
self.cm_min = self.cm_max
def setColorMapLimits(self, mn, mx):
"""
Set the limit values for the colormap.
Parameters
----------
mn : int
The lower limit
mx : int
The upper limit
"""
if mn >= mx:
return
self.cm_max = mx
self.cm_min = mn
@Property(PyDMColorMap)
def colorMap(self):
"""
Return the color map used by the SpectrogramView.
Returns
-------
PyDMColorMap
"""
return self._colormap
@colorMap.setter
def colorMap(self, new_cmap):
"""
Set the color map used by the SpectrogramView.
Parameters
-------
new_cmap : PyDMColorMap
"""
self._colormap = new_cmap
self._cm_colors = self.color_maps[new_cmap]
self.setColorMap()
for action in self.cm_group.actions():
if self.cmap_for_action[action] == self._colormap:
action.setChecked(True)
else:
action.setChecked(False)
def setColorMap(self, cmap=None):
"""
Update the image colormap.
Parameters
----------
cmap : ColorMap
"""
if not cmap:
if not self._cm_colors.any():
return
# Take default values
pos = np.linspace(0.0, 1.0, num=len(self._cm_colors))
cmap = ColorMap(pos, self._cm_colors)
self._view.setBackgroundColor(cmap.map(0))
lut = cmap.getLookupTable(0.0, 1.0, alpha=False)
self.colorbar.setIntColorScale(colors=lut)
self._image_item.setLookupTable(lut)
# --- Connection Slots ---
@Slot(bool)
def image_connection_state_changed(self, conn):
"""
Callback invoked when the Image Channel connection state is changed.
Parameters
----------
conn : bool
The new connection state.
"""
if conn:
self.redraw_timer.start()
else:
self.redraw_timer.stop()
@Slot(bool)
def yaxis_connection_state_changed(self, connected):
"""
Callback invoked when the TimeAxis Channel connection state is changed.
Parameters
----------
conn : bool
The new connection state.
"""
self._timeaxis_connected = connected
@Slot(bool)
def roioffsetx_connection_state_changed(self, conn):
"""
Run when the ROIOffsetX Channel connection state changes.
Parameters
----------
conn : bool
The new connection state.
"""
if not conn:
self._roi_offsetx = 0
@Slot(bool)
def roioffsety_connection_state_changed(self, conn):
"""
Run when the ROIOffsetY Channel connection state changes.
Parameters
----------
conn : bool
The new connection state.
"""
if not conn:
self._roi_offsety = 0
@Slot(bool)
def roiwidth_connection_state_changed(self, conn):
"""
Run when the ROIWidth Channel connection state changes.
Parameters
----------
conn : bool
The new connection state.
"""
if not conn:
self._roi_width = 0
@Slot(bool)
def roiheight_connection_state_changed(self, conn):
"""
Run when the ROIHeight Channel connection state changes.
Parameters
----------
conn : bool
The new connection state.
"""
if not conn:
self._roi_height = 0
# --- Value Slots ---
@Slot(np.ndarray)
def image_value_changed(self, new_image):
"""
Callback invoked when the Image Channel value is changed.
We try to do as little as possible in this method, because it
gets called every time the image channel updates, which might
be extremely often. Basically just store the data, and set
a flag requesting that the image be redrawn.
Parameters
----------
new_image : np.ndarray
The new image data. This can be a flat 1D array, or a 2D array.
"""
if new_image is None or new_image.size == 0:
return
logging.debug("SpectrogramView Received New Image: Needs Redraw->True")
self.image_waveform = new_image
self.needs_redraw = True
if not self._image_height and self._image_width:
self._image_height = new_image.size / self._image_width
elif not self._image_width and self._image_height:
self._image_width = new_image.size / self._image_height
@Slot(np.ndarray)
@Slot(float)
def xaxis_value_changed(self, new_array):
"""
Callback invoked when the Image Width Channel value is changed.
Parameters
----------
new_array : np.ndarray
The new x axis array
"""
if new_array is None:
return
if isinstance(new_array, float):
new_array = np.array([
new_array,
])
self._last_xaxis_data = new_array
if self._reading_order == self.Clike:
self._image_width = new_array.size
else:
self._image_height = new_array.size
self.needs_redraw = True
@Slot(np.ndarray)
@Slot(float)
def yaxis_value_changed(self, new_array):
"""
Callback invoked when the TimeAxis Channel value is changed.
Parameters
----------
new_array : np.array
The new y axis array
"""
if new_array is None:
return
if isinstance(new_array, float):
new_array = np.array([
new_array,
])
self._last_yaxis_data = new_array
if self._reading_order == self.Fortranlike:
self._image_width = new_array.size
else:
self._image_height = new_array.size
self.needs_redraw = True
@Slot(int)
def roioffsetx_value_changed(self, new_offset):
"""
Run when the ROIOffsetX Channel value changes.
Parameters
----------
new_offsetx : int
The new image ROI horizontal offset
"""
if new_offset is None:
return
self._roi_offsetx = new_offset
self.redrawROI()
@Slot(int)
def roioffsety_value_changed(self, new_offset):
"""
Run when the ROIOffsetY Channel value changes.
Parameters
----------
new_offsety : int
The new image ROI vertical offset
"""
if new_offset is None:
return
self._roi_offsety = new_offset
self.redrawROI()
@Slot(int)
def roiwidth_value_changed(self, new_width):
"""
Run when the ROIWidth Channel value changes.
Parameters
----------
new_width : int
The new image ROI width
"""
if new_width is None:
return
self._roi_width = int(new_width)
self.redrawROI()
@Slot(int)
def roiheight_value_changed(self, new_height):
"""
Run when the ROIHeight Channel value changes.
Parameters
----------
new_height : int
The new image ROI height
"""
if new_height is None:
return
self._roi_height = int(new_height)
self.redrawROI()
# --- Image update methods ---
def process_image(self, image):
"""
Boilerplate method.
To be used by applications in order to add calculations and also modify
the image before it is displayed at the widget.
.. warning::
This code runs in a separated QThread so it **MUST** not try to
write to QWidgets.
Parameters
----------
image : np.ndarray
The Image Data as a 2D numpy array
Returns
-------
np.ndarray
The Image Data as a 2D numpy array after processing.
"""
return image
def redrawImage(self):
"""
Set the image data into the ImageItem, if needed.
If necessary, reshape the image to 2D first.
"""
if self.thread is not None and not self.thread.isFinished():
logger.warning(
"Image processing has taken longer than the refresh rate.")
return
self.thread = SpectrogramUpdateThread(self)
self.thread.updateSignal.connect(self._updateDisplay)
logging.debug("SpectrogramView RedrawImage Thread Launched")
self.thread.start()
@Slot(list)
def _updateDisplay(self, data):
logging.debug("SpectrogramView Update Display with new image")
# Update axis
if self._last_xaxis_data is not None:
szx = self._last_xaxis_data.size
xMin = self._last_xaxis_data.min()
xMax = self._last_xaxis_data.max()
else:
szx = self.imageWidth if self.readingOrder == self.Clike \
else self.imageHeight
xMin = 0
xMax = szx
if self._last_yaxis_data is not None:
szy = self._last_yaxis_data.size
yMin = self._last_yaxis_data.min()
yMax = self._last_yaxis_data.max()
else:
szy = self.imageHeight if self.readingOrder == self.Clike \
else self.imageWidth
yMin = 0
yMax = szy
self.xaxis.setRange(xMin, xMax)
self.yaxis.setRange(yMin, yMax)
self._view.setLimits(xMin=0,
xMax=szx,
yMin=0,
yMax=szy,
minXRange=szx,
maxXRange=szx,
minYRange=szy,
maxYRange=szy)
# Update image
if self.autoSetColorbarLims:
self.colorbar.setLimits(data)
mini, maxi = data[0], data[1]
img = data[2]
self._image_item.setLevels([mini, maxi])
self._image_item.setImage(img,
autoLevels=False,
autoDownsample=self.autoDownsample)
# ROI update methods
def redrawROI(self):
startx = self._roi_offsetx
endx = self._roi_offsetx + self._roi_width
starty = self._roi_offsety
endy = self._roi_offsety + self._roi_height
self.ROICurve.setData([startx, startx, endx, endx, startx],
[starty, endy, endy, starty, starty])
def showROI(self, show):
"""Set ROI visibility."""
pen = mkPen()
if show:
pen.setColor(self.ROIColor)
else:
pen.setColor(QColor('transparent'))
self.ROICurve.setPen(pen)
# --- Properties ---
@Property(bool)
def autoDownsample(self):
"""
Return if we should or not apply the autoDownsample option.
Return
------
bool
"""
return self._auto_downsample
@autoDownsample.setter
def autoDownsample(self, new_value):
"""
Whether we should or not apply the autoDownsample option.
Parameters
----------
new_value: bool
"""
if new_value != self._auto_downsample:
self._auto_downsample = new_value
@Property(bool)
def autoSetColorbarLims(self):
"""
Return if we should or not auto set colorbar limits.
Return
------
bool
"""
return self._auto_colorbar_lims
@autoSetColorbarLims.setter
def autoSetColorbarLims(self, new_value):
"""
Whether we should or not auto set colorbar limits.
Parameters
----------
new_value: bool
"""
if new_value != self._auto_colorbar_lims:
self._auto_colorbar_lims = new_value
@Property(int)
def imageWidth(self):
"""
Return the width of the image.
Return
------
int
"""
return self._image_width
@imageWidth.setter
def imageWidth(self, new_width):
"""
Set the width of the image.
Can be overridden by :attr:`xAxisChannel` and :attr:`yAxisChannel`.
Parameters
----------
new_width: int
"""
boo = self._image_width != int(new_width)
boo &= not self._xaxischannel
boo &= not self._yaxischannel
if boo:
self._image_width = int(new_width)
@Property(int)
def imageHeight(self):
"""
Return the height of the image.
Return
------
int
"""
return self._image_height
@Property(int)
def ROIOffsetX(self):
"""
Return the ROI offset in X axis in pixels.
Return
------
int
"""
return self._roi_offsetx
@ROIOffsetX.setter
def ROIOffsetX(self, new_offset):
"""
Set the ROI offset in X axis in pixels.
Can be overridden by :attr:`ROIOffsetXChannel`.
Parameters
----------
new_offset: int
"""
if new_offset is None:
return
boo = self._roi_offsetx != int(new_offset)
boo &= not self._roioffsetxchannel
if boo:
self._roi_offsetx = int(new_offset)
self.redrawROI()
@Property(int)
def ROIOffsetY(self):
"""
Return the ROI offset in Y axis in pixels.
Return
------
int
"""
return self._roi_offsety
@ROIOffsetY.setter
def ROIOffsetY(self, new_offset):
"""
Set the ROI offset in Y axis in pixels.
Can be overridden by :attr:`ROIOffsetYChannel`.
Parameters
----------
new_offset: int
"""
if new_offset is None:
return
boo = self._roi_offsety != int(new_offset)
boo &= not self._roioffsetychannel
if boo:
self._roi_offsety = int(new_offset)
self.redrawROI()
@Property(int)
def ROIWidth(self):
"""
Return the ROI width in pixels.
Return
------
int
"""
return self._roi_width
@ROIWidth.setter
def ROIWidth(self, new_width):
"""
Set the ROI width in pixels.
Can be overridden by :attr:`ROIWidthChannel`.
Parameters
----------
new_width: int
"""
if new_width is None:
return
boo = self._roi_width != int(new_width)
boo &= not self._roiwidthchannel
if boo:
self._roi_width = int(new_width)
self.redrawROI()
@Property(int)
def ROIHeight(self):
"""
Return the ROI height in pixels.
Return
------
int
"""
return self._roi_height
@ROIHeight.setter
def ROIHeight(self, new_height):
"""
Set the ROI height in pixels.
Can be overridden by :attr:`ROIHeightChannel`.
Parameters
----------
new_height: int
"""
if new_height is None:
return
boo = self._roi_height != int(new_height)
boo &= not self._roiheightchannel
if boo:
self._roi_height = int(new_height)
self.redrawROI()
@Property(bool)
def normalizeData(self):
"""
Return True if the colors are relative to data maximum and minimum.
Returns
-------
bool
"""
return self._normalize_data
@normalizeData.setter
@Slot(bool)
def normalizeData(self, new_norm):
"""
Define if the colors are relative to minimum and maximum of the data.
Parameters
----------
new_norm: bool
"""
if self._normalize_data != new_norm:
self._normalize_data = new_norm
@Property(ReadingOrder)
def readingOrder(self):
"""
Return the reading order of the :attr:`imageChannel` array.
Returns
-------
ReadingOrder
"""
return self._reading_order
@readingOrder.setter
def readingOrder(self, order):
"""
Set reading order of the :attr:`imageChannel` array.
Parameters
----------
order: ReadingOrder
"""
if self._reading_order != order:
self._reading_order = order
if order == self.Clike:
if self._last_xaxis_data is not None:
self._image_width = self._last_xaxis_data.size
if self._last_yaxis_data is not None:
self._image_height = self._last_yaxis_data.size
elif order == self.Fortranlike:
if self._last_yaxis_data is not None:
self._image_width = self._last_yaxis_data.size
if self._last_xaxis_data is not None:
self._image_height = self._last_xaxis_data.size
@Property(int)
def maxRedrawRate(self):
"""
The maximum rate (in Hz) at which the plot will be redrawn.
The plot will not be redrawn if there is not new data to draw.
Returns
-------
int
"""
return self._redraw_rate
@maxRedrawRate.setter
def maxRedrawRate(self, redraw_rate):
"""
The maximum rate (in Hz) at which the plot will be redrawn.
The plot will not be redrawn if there is not new data to draw.
Parameters
-------
redraw_rate : int
"""
self._redraw_rate = redraw_rate
self.redraw_timer.setInterval(int((1.0 / self._redraw_rate) * 1000))
# --- Events rederivations ---
def keyPressEvent(self, ev):
"""Handle keypress events."""
return
def mouseMoveEvent(self, ev):
if not self._image_item.width() or not self._image_item.height():
super().mouseMoveEvent(ev)
return
pos = ev.pos()
posaux = self._image_item.mapFromDevice(ev.pos())
if posaux.x() < 0 or posaux.x() >= self._image_item.width() or \
posaux.y() < 0 or posaux.y() >= self._image_item.height():
super().mouseMoveEvent(ev)
return
pos_scene = self._view.mapSceneToView(pos)
x = round(pos_scene.x())
y = round(pos_scene.y())
if self.xAxisChannel and self._last_xaxis_data is not None:
maxx = len(self._last_xaxis_data) - 1
x = x if x < maxx else maxx
valx = self._last_xaxis_data[x]
else:
valx = x
if self.yAxisChannel and self._last_yaxis_data is not None:
maxy = len(self._last_yaxis_data) - 1
y = y if y < maxy else maxy
valy = self._last_yaxis_data[y]
else:
valy = y
txt = self.format_tooltip.format(valx, valy)
QToolTip.showText(self.mapToGlobal(pos), txt, self, self.geometry(),
5000)
super().mouseMoveEvent(ev)
# --- Channels ---
@Property(str)
def imageChannel(self):
"""
The channel address in use for the image data .
Returns
-------
str
Channel address
"""
if self._imagechannel:
return str(self._imagechannel.address)
else:
return ''
@imageChannel.setter
def imageChannel(self, value):
"""
The channel address in use for the image data .
Parameters
----------
value : str
Channel address
"""
if self._imagechannel != value:
# Disconnect old channel
if self._imagechannel:
self._imagechannel.disconnect()
# Create and connect new channel
self._imagechannel = PyDMChannel(
address=value,
connection_slot=self.image_connection_state_changed,
value_slot=self.image_value_changed,
severity_slot=self.alarmSeverityChanged)
self._channels[0] = self._imagechannel
self._imagechannel.connect()
@Property(str)
def xAxisChannel(self):
"""
The channel address in use for the x-axis of image.
Returns
-------
str
Channel address
"""
if self._xaxischannel:
return str(self._xaxischannel.address)
else:
return ''
@xAxisChannel.setter
def xAxisChannel(self, value):
"""
The channel address in use for the x-axis of image.
Parameters
----------
value : str
Channel address
"""
if self._xaxischannel != value:
# Disconnect old channel
if self._xaxischannel:
self._xaxischannel.disconnect()
# Create and connect new channel
self._xaxischannel = PyDMChannel(
address=value,
connection_slot=self.connectionStateChanged,
value_slot=self.xaxis_value_changed,
severity_slot=self.alarmSeverityChanged)
self._channels[1] = self._xaxischannel
self._xaxischannel.connect()
@Property(str)
def yAxisChannel(self):
"""
The channel address in use for the time axis.
Returns
-------
str
Channel address
"""
if self._yaxischannel:
return str(self._yaxischannel.address)
else:
return ''
@yAxisChannel.setter
def yAxisChannel(self, value):
"""
The channel address in use for the time axis.
Parameters
----------
value : str
Channel address
"""
if self._yaxischannel != value:
# Disconnect old channel
if self._yaxischannel:
self._yaxischannel.disconnect()
# Create and connect new channel
self._yaxischannel = PyDMChannel(
address=value,
connection_slot=self.yaxis_connection_state_changed,
value_slot=self.yaxis_value_changed,
severity_slot=self.alarmSeverityChanged)
self._channels[2] = self._yaxischannel
self._yaxischannel.connect()
@Property(str)
def ROIOffsetXChannel(self):
"""
Return the channel address in use for the image ROI horizontal offset.
Returns
-------
str
Channel address
"""
if self._roioffsetxchannel:
return str(self._roioffsetxchannel.address)
else:
return ''
@ROIOffsetXChannel.setter
def ROIOffsetXChannel(self, value):
"""
Return the channel address in use for the image ROI horizontal offset.
Parameters
----------
value : str
Channel address
"""
if self._roioffsetxchannel != value:
# Disconnect old channel
if self._roioffsetxchannel:
self._roioffsetxchannel.disconnect()
# Create and connect new channel
self._roioffsetxchannel = PyDMChannel(
address=value,
connection_slot=self.roioffsetx_connection_state_changed,
value_slot=self.roioffsetx_value_changed,
severity_slot=self.alarmSeverityChanged)
self._channels[3] = self._roioffsetxchannel
self._roioffsetxchannel.connect()
@Property(str)
def ROIOffsetYChannel(self):
"""
Return the channel address in use for the image ROI vertical offset.
Returns
-------
str
Channel address
"""
if self._roioffsetychannel:
return str(self._roioffsetychannel.address)
else:
return ''
@ROIOffsetYChannel.setter
def ROIOffsetYChannel(self, value):
"""
Return the channel address in use for the image ROI vertical offset.
Parameters
----------
value : str
Channel address
"""
if self._roioffsetychannel != value:
# Disconnect old channel
if self._roioffsetychannel:
self._roioffsetychannel.disconnect()
# Create and connect new channel
self._roioffsetychannel = PyDMChannel(
address=value,
connection_slot=self.roioffsety_connection_state_changed,
value_slot=self.roioffsety_value_changed,
severity_slot=self.alarmSeverityChanged)
self._channels[4] = self._roioffsetychannel
self._roioffsetychannel.connect()
@Property(str)
def ROIWidthChannel(self):
"""
Return the channel address in use for the image ROI width.
Returns
-------
str
Channel address
"""
if self._roiwidthchannel:
return str(self._roiwidthchannel.address)
else:
return ''
@ROIWidthChannel.setter
def ROIWidthChannel(self, value):
"""
Return the channel address in use for the image ROI width.
Parameters
----------
value : str
Channel address
"""
if self._roiwidthchannel != value:
# Disconnect old channel
if self._roiwidthchannel:
self._roiwidthchannel.disconnect()
# Create and connect new channel
self._roiwidthchannel = PyDMChannel(
address=value,
connection_slot=self.roiwidth_connection_state_changed,
value_slot=self.roiwidth_value_changed,
severity_slot=self.alarmSeverityChanged)
self._channels[5] = self._roiwidthchannel
self._roiwidthchannel.connect()
@Property(str)
def ROIHeightChannel(self):
"""
Return the channel address in use for the image ROI height.
Returns
-------
str
Channel address
"""
if self._roiheightchannel:
return str(self._roiheightchannel.address)
else:
return ''
@ROIHeightChannel.setter
def ROIHeightChannel(self, value):
"""
Return the channel address in use for the image ROI height.
Parameters
----------
value : str
Channel address
"""
if self._roiheightchannel != value:
# Disconnect old channel
if self._roiheightchannel:
self._roiheightchannel.disconnect()
# Create and connect new channel
self._roiheightchannel = PyDMChannel(
address=value,
connection_slot=self.roiheight_connection_state_changed,
value_slot=self.roiheight_value_changed,
severity_slot=self.alarmSeverityChanged)
self._channels[6] = self._roiheightchannel
self._roiheightchannel.connect()
def channels(self):
"""
Return the channels being used for this Widget.
Returns
-------
channels : list
List of PyDMChannel objects
"""
return self._channels
def channels_for_tools(self):
"""Return channels for tools."""
return [self._imagechannel]
def __init__(self, directory='.', **kwargs):
super(astraPlotWidget, self).__init__(**kwargs)
self.beam = raf.beam()
self.twiss = rtf.twiss()
self.directory = directory
''' twissPlotWidget '''
self.twissPlotView = GraphicsView(useOpenGL=True)
self.twissPlotWidget = GraphicsLayout()
self.twissPlotView.setCentralItem(self.twissPlotWidget)
self.latticePlotData = imageio.imread('lattice_plot.png')
self.latticePlots = {}
self.twissPlots = {}
i = -1
for entry in self.twissplotLayout:
if entry == 'next_row':
self.twissPlotWidget.nextRow()
else:
i += 1
p = self.twissPlotWidget.addPlot(title=entry['name'])
p.showGrid(x=True, y=True)
vb = p.vb
vb.setYRange(*entry['range'])
latticePlot = ImageItem(self.latticePlotData)
latticePlot.setOpts(axisOrder='row-major')
vb.addItem(latticePlot)
latticePlot.setZValue(-1) # make sure this image is on top
# latticePlot.setOpacity(0.5)
self.twissPlots[entry['name']] = p.plot(
pen=mkPen('b', width=3))
self.latticePlots[p.vb] = latticePlot
p.vb.sigRangeChanged.connect(self.scaleLattice)
''' beamPlotWidget '''
self.beamPlotWidget = QWidget()
self.beamPlotLayout = QVBoxLayout()
self.item = ImageItem()
self.beamPlotWidget.setLayout(self.beamPlotLayout)
self.beamPlotView = ImageView(imageItem=self.item)
self.rainbow = rainbow()
self.item.setLookupTable(self.rainbow)
self.item.setLevels([0, 1])
# self.beamPlotWidgetGraphicsLayout = GraphicsLayout()
# p = self.beamPlotWidgetGraphicsLayout.addPlot(title='beam')
# p.showGrid(x=True, y=True)
# self.beamPlot = p.plot(pen=None, symbol='+')
# self.beamPlotView.setCentralItem(self.beamPlotWidgetGraphicsLayout)
self.beamPlotXAxisCombo = QComboBox()
self.beamPlotXAxisCombo.addItems(
['x', 'y', 'zn', 'cpx', 'cpy', 'BetaGamma'])
self.beamPlotYAxisCombo = QComboBox()
self.beamPlotYAxisCombo.addItems(
['x', 'y', 'zn', 'cpx', 'cpy', 'BetaGamma'])
self.beamPlotNumberBins = QSpinBox()
self.beamPlotNumberBins.setRange(10, 500)
self.beamPlotNumberBins.setSingleStep(10)
self.histogramBins = 100
self.beamPlotNumberBins.setValue(self.histogramBins)
self.beamPlotAxisWidget = QWidget()
self.beamPlotAxisLayout = QHBoxLayout()
self.beamPlotAxisWidget.setLayout(self.beamPlotAxisLayout)
self.beamPlotAxisLayout.addWidget(self.beamPlotXAxisCombo)
self.beamPlotAxisLayout.addWidget(self.beamPlotYAxisCombo)
self.beamPlotAxisLayout.addWidget(self.beamPlotNumberBins)
self.beamPlotXAxisCombo.currentIndexChanged.connect(self.plotDataBeam)
self.beamPlotYAxisCombo.currentIndexChanged.connect(self.plotDataBeam)
self.beamPlotNumberBins.valueChanged.connect(self.plotDataBeam)
# self.beamPlotXAxisCombo.setCurrentIndex(2)
# self.beamPlotYAxisCombo.setCurrentIndex(5)
self.beamPlotLayout.addWidget(self.beamPlotAxisWidget)
self.beamPlotLayout.addWidget(self.beamPlotView)
''' slicePlotWidget '''
self.sliceParams = [
{
'name': 'slice_normalized_horizontal_emittance',
'units': 'm-rad',
'text': 'enx'
},
{
'name': 'slice_normalized_vertical_emittance',
'units': 'm-rad',
'text': 'eny'
},
{
'name': 'slice_peak_current',
'units': 'A',
'text': 'PeakI'
},
{
'name': 'slice_relative_momentum_spread',
'units': '%',
'text': 'sigma-p'
},
]
self.slicePlotWidget = QWidget()
self.slicePlotLayout = QVBoxLayout()
self.slicePlotWidget.setLayout(self.slicePlotLayout)
# self.slicePlotView = GraphicsView(useOpenGL=True)
self.slicePlotWidgetGraphicsLayout = GraphicsLayoutWidget()
# self.slicePlots = {}
self.slicePlotCheckbox = {}
self.curve = {}
self.sliceaxis = {}
self.slicePlotCheckboxWidget = QWidget()
self.slicePlotCheckboxLayout = QVBoxLayout()
self.slicePlotCheckboxWidget.setLayout(self.slicePlotCheckboxLayout)
self.slicePlot = self.slicePlotWidgetGraphicsLayout.addPlot(
title='Slice', row=0, col=50)
self.slicePlot.showAxis('left', False)
self.slicePlot.showGrid(x=True, y=True)
i = -1
colors = ['b', 'r', 'g', 'k']
for param in self.sliceParams:
i += 1
axis = AxisItem("left")
labelStyle = {'color': '#' + colorStr(mkColor(colors[i]))[0:-2]}
axis.setLabel(text=param['text'],
units=param['units'],
**labelStyle)
viewbox = ViewBox()
axis.linkToView(viewbox)
viewbox.setXLink(self.slicePlot.vb)
self.sliceaxis[param['name']] = [axis, viewbox]
self.curve[param['name']] = PlotDataItem(pen=colors[i], symbol='+')
viewbox.addItem(self.curve[param['name']])
col = self.findFirstEmptyColumnInGraphicsLayout()
self.slicePlotWidgetGraphicsLayout.ci.addItem(axis,
row=0,
col=col,
rowspan=1,
colspan=1)
self.slicePlotWidgetGraphicsLayout.ci.addItem(viewbox,
row=0,
col=50)
p.showGrid(x=True, y=True)
# self.slicePlots[param] = self.slicePlot.plot(pen=colors[i], symbol='+')
self.slicePlotCheckbox[param['name']] = QCheckBox(param['text'])
self.slicePlotCheckboxLayout.addWidget(
self.slicePlotCheckbox[param['name']])
self.slicePlotCheckbox[param['name']].stateChanged.connect(
self.plotDataSlice)
# self.slicePlotView.setCentralItem(self.slicePlotWidgetGraphicsLayout)
self.slicePlotSliceWidthWidget = QSpinBox()
self.slicePlotSliceWidthWidget.setMaximum(1000)
self.slicePlotSliceWidthWidget.setValue(100)
self.slicePlotSliceWidthWidget.setSingleStep(10)
self.slicePlotSliceWidthWidget.setSuffix("fs")
self.slicePlotSliceWidthWidget.setSpecialValueText('Automatic')
self.slicePlotAxisWidget = QWidget()
self.slicePlotAxisLayout = QHBoxLayout()
self.slicePlotAxisWidget.setLayout(self.slicePlotAxisLayout)
self.slicePlotAxisLayout.addWidget(self.slicePlotCheckboxWidget)
self.slicePlotAxisLayout.addWidget(self.slicePlotSliceWidthWidget)
# self.slicePlotXAxisCombo.currentIndexChanged.connect(self.plotDataSlice)
self.slicePlotSliceWidthWidget.valueChanged.connect(
self.changeSliceLength)
# self.beamPlotXAxisCombo.setCurrentIndex(2)
# self.beamPlotYAxisCombo.setCurrentIndex(5)
self.slicePlotLayout.addWidget(self.slicePlotAxisWidget)
self.slicePlotLayout.addWidget(self.slicePlotWidgetGraphicsLayout)
self.layout = QVBoxLayout()
self.setLayout(self.layout)
self.tabWidget = QTabWidget()
self.folderButton = QPushButton('Select Directory')
self.folderLineEdit = QLineEdit()
self.folderLineEdit.setReadOnly(True)
self.folderLineEdit.setText(self.directory)
self.reloadButton = QPushButton()
self.reloadButton.setIcon(qApp.style().standardIcon(
QStyle.SP_BrowserReload))
self.folderWidget = QGroupBox()
self.folderLayout = QHBoxLayout()
self.folderLayout.addWidget(self.folderButton)
self.folderLayout.addWidget(self.folderLineEdit)
self.folderLayout.addWidget(self.reloadButton)
self.folderWidget.setLayout(self.folderLayout)
self.folderWidget.setMaximumWidth(800)
self.reloadButton.clicked.connect(
lambda: self.changeDirectory(self.directory))
self.folderButton.clicked.connect(self.changeDirectory)
self.fileSelector = QComboBox()
self.fileSelector.currentIndexChanged.connect(self.updateScreenCombo)
self.screenSelector = QComboBox()
self.screenSelector.currentIndexChanged.connect(self.changeScreen)
self.beamWidget = QGroupBox()
self.beamLayout = QHBoxLayout()
self.beamLayout.addWidget(self.fileSelector)
self.beamLayout.addWidget(self.screenSelector)
self.beamWidget.setLayout(self.beamLayout)
self.beamWidget.setMaximumWidth(800)
self.beamWidget.setVisible(False)
self.folderBeamWidget = QWidget()
self.folderBeamLayout = QHBoxLayout()
self.folderBeamLayout.setAlignment(Qt.AlignLeft)
self.folderBeamWidget.setLayout(self.folderBeamLayout)
self.folderBeamLayout.addWidget(self.folderWidget)
self.folderBeamLayout.addWidget(self.beamWidget)
self.tabWidget.addTab(self.twissPlotView, 'Twiss Plots')
self.tabWidget.addTab(self.beamPlotWidget, 'Beam Plots')
self.tabWidget.addTab(self.slicePlotWidget, 'Slice Beam Plots')
self.tabWidget.currentChanged.connect(self.changeTab)
self.layout.addWidget(self.folderBeamWidget)
self.layout.addWidget(self.tabWidget)
self.plotType = 'Twiss'
self.changeDirectory(self.directory)
def update_axis_title_text(item: pg.AxisItem, text: str):
item.setLabel(text, item.labelUnits, item.labelUnitPrefix)
item.resizeEvent(None)
class PyDMTimePlot(BasePlot):
SynchronousMode = 1
AsynchronousMode = 2
def __init__(self, parent=None, init_y_channel=None, background='default'):
self._bottom_axis = TimeAxisItem('bottom')
self._left_axis = AxisItem('left')
super(PyDMTimePlot, self).__init__(parent=parent,
background=background,
axisItems={
'bottom': self._bottom_axis,
'left': self._left_axis
})
self._ychannel = init_y_channel
self.plotItem.disableAutoRange(ViewBox.XAxis)
self.y_waveform = None
self._bufferSize = 1
self.redraw_timer = QTimer(self)
self.redraw_timer.setInterval(20)
self.redraw_timer.timeout.connect(self.redrawPlot)
self.update_timer = QTimer(self)
self._time_span = 5.0 #This is in seconds
self._update_interval = 100
self._update_mode = PyDMTimePlot.SynchronousMode
#Due to a bug in pyqtgraph, we have to remove a bunch of leftover garbage axes.
#It looks like this bug will be fixed in a future version of pyqtgraph.
for child in self.getPlotItem().childItems():
if isinstance(child, AxisItem):
if child not in [
self.getPlotItem().axes[k]['item']
for k in self.getPlotItem().axes
]:
child.deleteLater()
def configure_timer(self):
self.update_timer.stop()
try:
self.update_timer.timeout.disconnect()
except:
pass
if self._update_mode == PyDMTimePlot.AsynchronousMode:
self.latest_value = None
self.update_timer.setInterval(self._update_interval)
self.update_timer.timeout.connect(self.asyncUpdate)
def initialize_buffer(self):
self.points_accumulated = 0
#If you don't specify dtype=float, you don't have enough resolution for the timestamp data.
self.data_buffer = np.zeros((2, self._bufferSize),
order='f',
dtype=float)
self.data_buffer[1].fill(time.time())
@pyqtSlot(float)
@pyqtSlot(int)
@pyqtSlot(str)
def receiveNewValue(self, new_value):
if self._update_mode == PyDMTimePlot.SynchronousMode:
self.data_buffer = np.roll(self.data_buffer, -1)
self.data_buffer[0, self._bufferSize - 1] = new_value
self.data_buffer[1, self._bufferSize - 1] = time.time()
if self.points_accumulated < self._bufferSize:
self.points_accumulated = self.points_accumulated + 1
elif self._update_mode == PyDMTimePlot.AsynchronousMode:
self.latest_value = new_value
@pyqtSlot()
def asyncUpdate(self):
self.data_buffer = np.roll(self.data_buffer, -1)
self.data_buffer[0, self._bufferSize - 1] = self.latest_value
self.data_buffer[1, self._bufferSize - 1] = time.time()
if self.points_accumulated < self._bufferSize:
self.points_accumulated = self.points_accumulated + 1
#self.redrawPlot()
@pyqtSlot()
def redrawPlot(self):
self.updateXAxis()
self.curve.setData(y=self.data_buffer[0, -self.points_accumulated:],
x=self.data_buffer[1, -self.points_accumulated:])
def updateXAxis(self, update_immediately=False):
if self._update_mode == PyDMTimePlot.SynchronousMode:
maxrange = self.data_buffer[1, -1]
else:
maxrange = time.time()
minrange = maxrange - self._time_span
self.plotItem.setXRange(minrange,
maxrange,
padding=0.0,
update=update_immediately)
# -2 to +2, -2 is LOLO, -1 is LOW, 0 is OK, etc.
@pyqtSlot(int)
def alarmStatusChanged(self, new_alarm_state):
pass
#0 = NO_ALARM, 1 = MINOR, 2 = MAJOR, 3 = INVALID
@pyqtSlot(int)
def alarmSeverityChanged(self, new_alarm_severity):
pass
#false = disconnected, true = connected
@pyqtSlot(bool)
def connectionStateChanged(self, connected):
if connected:
self.redraw_timer.start()
if self._update_mode == PyDMTimePlot.AsynchronousMode:
self.update_timer.start()
else:
self.redraw_timer.stop()
self.update_timer.stop()
@pyqtSlot(str)
def unitsChanged(self, units):
self._left_axis.enableAutoSIPrefix(enable=False)
self._left_axis.setLabel(units=units)
self._left_axis.showLabel()
def getYChannel(self):
return str(self._ychannel)
def setYChannel(self, value):
if self._ychannel != value:
self._ychannel = str(value)
def resetYChannel(self):
if self._ychannel != None:
self._ychannel = None
yChannel = pyqtProperty(str, getYChannel, setYChannel, resetYChannel)
def getBufferSize(self):
return int(self._bufferSize)
def setBufferSize(self, value):
if self._bufferSize != int(value):
self._bufferSize = max(int(value), 1)
self.initialize_buffer()
def resetBufferSize(self):
if self._bufferSize != 1:
self._bufferSize = 1
self.initialize_buffer()
bufferSize = pyqtProperty("int", getBufferSize, setBufferSize,
resetBufferSize)
def getUpdatesAsynchronously(self):
return self._update_mode == PyDMTimePlot.AsynchronousMode
def setUpdatesAsynchronously(self, value):
if value == True:
self._update_mode = PyDMTimePlot.AsynchronousMode
else:
self._update_mode = PyDMTimePlot.SynchronousMode
self.configure_timer()
self.initialize_buffer()
def resetUpdatesAsynchronously(self):
self._update_mode = PyDMTimePlot.SynchronousMode
self.configure_timer()
self.initialize_buffer()
updatesAsynchronously = pyqtProperty("bool", getUpdatesAsynchronously,
setUpdatesAsynchronously,
resetUpdatesAsynchronously)
def getTimeSpan(self):
return float(self._time_span)
def setTimeSpan(self, value):
value = float(value)
if self._time_span != value:
self._time_span = value
if self.getUpdatesAsynchronously():
self.setBufferSize(
int(self._time_span * 1000.0 / self._update_interval))
self.updateXAxis(update_immediately=True)
def resetTimeSpan(self):
if self._time_span != 5.0:
self._time_span = 5.0
if self.getUpdatesAsynchronously():
self.setBufferSize(
int(self._time_span * 1000.0 / self._update_interval))
self.updateXAxis(update_immediately=True)
timeSpan = pyqtProperty(float, getTimeSpan, setTimeSpan, resetTimeSpan)
def getUpdateInterval(self):
return float(self._update_interval) / 1000.0
def setUpdateInterval(self, value):
value = abs(int(1000.0 * value))
if self._update_interval != value:
self._update_interval = value
self.update_timer.setInterval(self._update_interval)
if self.getUpdatesAsynchronously():
self.setBufferSize(
int(self._time_span * 1000.0 / self._update_interval))
def resetUpdateInterval(self):
if self._update_interval != 100:
self._update_interval = 100
self.update_timer.setInterval(self._update_interval)
if self.getUpdatesAsynchronously():
self.setBufferSize(
int(self._time_span * 1000.0 / self._update_interval))
updateInterval = pyqtProperty(float, getUpdateInterval, setUpdateInterval,
resetUpdateInterval)
def getAutoRangeX(self):
return False
def setAutoRangeX(self, value):
self._auto_range_x = False
self.plotItem.enableAutoRange(ViewBox.XAxis, enable=self._auto_range_x)
def channels(self):
return [
PyDMChannel(address=self.yChannel,
connection_slot=self.connectionStateChanged,
value_slot=self.receiveNewValue,
severity_slot=self.alarmSeverityChanged,
unit_slot=self.unitsChanged)
]
def init_plt( self ) : # Initialize the "GraphicsLayoutWidget" for this widget. This # will allow a grid of "GraphicsItem" objects, which will # include the plots themselves, the axes, and the axis labels. # Note. The "QGridLayout" object given to this widget as its # layout is essentially a dummy. I tried to just having # this widget be an extention of "GraphicsLayoutWidget" # (i.e., having it inheret that type), but I couldn't get # it to display anything at all. self.setLayout( QGridLayout( ) ) self.grd = GraphicsLayoutWidget( ) self.grd.setBackground( 'w' ) self.layout( ).addWidget( self.grd ) self.layout().setContentsMargins( 0, 0, 0, 0 ) # Initialize the text for the x- and y-axis labels. Then, # create the labels themselves and add them to the grid. self.txt_axs_x = 'Projected Proton Inflow Velocity [km/s]' self.txt_axs_y = 'Current [pA]' if ( self.core.app.res_lo ) : size = '8pt' else : size = '10pt' self.lab_axs_x = LabelItem( self.txt_axs_x, angle=0 , color='b', size=size ) self.lab_axs_y = LabelItem( self.txt_axs_y, angle=270, color='b', size=size ) self.grd.addItem( self.lab_axs_x, self.n_plt_y + 1, 2, 1, self.n_plt_x ) self.grd.addItem( self.lab_axs_y, 0, 0, self.n_plt_y, 1 ) # Initialize the arrays that will contain the individual axes, # plots, and plot elements (i.e., the histograms, fit curves, # labels, and selection points). self.plt = tile( None, [ self.n_plt_y, self.n_plt_x ] ) self.axs_x = tile( None, self.n_plt_x ) self.axs_y = tile( None, self.n_plt_y ) self.hst = tile( None, [ self.n_plt_y, self.n_plt_x ] ) self.lbl = tile( None, [ self.n_plt_y, self.n_plt_x ] ) self.crv = tile( None, [ self.n_plt_y, self.n_plt_x ] ) self.crv_ion = tile( None, [ self.n_plt_y, self.n_plt_x, self.n_ion ] ) self.pnt = tile( None, [ self.n_plt_y, self.n_plt_x, self.n_k ] ) # Initialize the scale-type for each axis, then generate the # (default) axis-limits and adjusted axis-limits. self.log_x = False self.log_y = True self.make_lim( ) # Create, store, and add to the grid the individual axes: first # the horizontal and then the vertical. for i in range( self.n_plt_x ) : self.axs_x[i] = AxisItem( 'bottom', maxTickLength=5 ) self.axs_x[i].setLogMode( self.log_x ) self.axs_x[i].setRange( self.alm_x[0], self.alm_x[1] ) self.axs_x[i].setTickFont( self.fnt ) if ( self.core.app.res_lo ) : self.axs_x[i].setHeight( 10 ) else : self.axs_x[i].setHeight( 20 ) self.grd.addItem( self.axs_x[i], self.n_plt_y, i + 2 ) for j in range( self.n_plt_y ) : self.axs_y[j] = AxisItem( 'left', maxTickLength=5 ) self.axs_y[j].setLogMode( self.log_y ) self.axs_y[j].setRange( self.alm_y[0], self.alm_y[1] ) self.axs_y[j].setTickFont( self.fnt ) if ( self.core.app.res_lo ) : self.axs_y[j].setWidth( 32 ) else : self.axs_y[j].setWidth( 40 ) self.grd.addItem( self.axs_y[j], j, 1 ) # Create, store, and add to the grid the individual plots. # Likewise, create, store, and add to each plot a label. for j in range( self.n_plt_y ) : for i in range( self.n_plt_x ) : # Compute the plot number of this plot. d = self.calc_ind_d( j, i ) # If creating this plot would exceed the # specified number of plots, don't create it. if ( d >= self.n_plt ) : continue # Create and store this plot, adjust its limits, # and add it to the grid. self.plt[j,i] = event_ViewBox( self, border=self.pen_plt, enableMouse=False, enableMenu=False ) self.plt[j,i].setRange( xRange=self.alm_x, yRange=self.alm_y, padding=0. ) self.grd.addItem( self.plt[j,i], j, i + 2 ) # Create and store an (empty) label and add it # to this plot. self.lbl[j,i] = TextItem( anchor=(1,0) ) self.lbl[j,i].setFont( self.fnt ) self.plt[j,i].addItem( self.lbl[j,i] )
def __init__(self, timeFrame, *args, **kwargs):
AxisItem.__init__(self, *args, **kwargs)
self.__timeFrame = timeFrame
def update_axis_title_text(item: pg.AxisItem, text: str):
item.setLabel(text)
item.resizeEvent(None)
def __init__(self,
parent=None,
init_y_channels=[],
plot_by_timestamps=True,
background='default'):
"""
Parameters
----------
parent : Widget
The parent widget of the chart.
init_y_channels : list
A list of scalar channels to plot vs time.
plot_by_timestamps : bool
If True, the x-axis shows timestamps as ticks, and those timestamps
scroll to the left as time progresses. If False, the x-axis tick
marks show time relative to the current time.
background : str, optional
The background color for the plot. Accepts any arguments that
pyqtgraph.mkColor will accept.
"""
self._plot_by_timestamps = plot_by_timestamps
self._left_axis = AxisItem("left")
if plot_by_timestamps:
self._bottom_axis = TimeAxisItem('bottom')
else:
self.starting_epoch_time = time.time()
self._bottom_axis = AxisItem('bottom')
super(PyDMTimePlot, self).__init__(parent=parent,
background=background,
axisItems={
"bottom": self._bottom_axis,
"left": self._left_axis
})
# Removing the downsampling while PR 763 is not merged at pyqtgraph
# Reference: https://github.com/pyqtgraph/pyqtgraph/pull/763
# self.setDownsampling(ds=True, auto=True, mode="mean")
if self._plot_by_timestamps:
self.plotItem.disableAutoRange(ViewBox.XAxis)
self.getViewBox().setMouseEnabled(x=False)
else:
self.plotItem.setRange(xRange=[DEFAULT_X_MIN, 0], padding=0)
self.plotItem.setLimits(xMax=0)
self._bufferSize = DEFAULT_BUFFER_SIZE
self._time_span = DEFAULT_TIME_SPAN # This is in seconds
self._update_interval = DEFAULT_UPDATE_INTERVAL
self.update_timer = QTimer(self)
self.update_timer.setInterval(self._update_interval)
self._update_mode = PyDMTimePlot.SynchronousMode
self._needs_redraw = True
self.labels = {"left": None, "right": None, "bottom": None}
self.units = {"left": None, "right": None, "bottom": None}
for channel in init_y_channels:
self.addYChannel(channel)
def tickValues(self, minVal, maxVal, size):
"""
Reimplemented from PlotItem to adjust to the range and to force
the ticks at "round" positions in the context of time units instead of
rounding in a decimal base
"""
maxMajSteps = int(size / self._pxLabelWidth)
dt1 = datetime.fromtimestamp(minVal)
dt2 = datetime.fromtimestamp(maxVal)
dx = maxVal - minVal
majticks = []
if dx > 63072001: # 3600s*24*(365+366) = 2 years (count leap year)
d = timedelta(days=366)
for y in range(dt1.year + 1, dt2.year):
dt = datetime(year=y, month=1, day=1)
majticks.append(mktime(dt.timetuple()))
elif dx > 5270400: # 3600s*24*61 = 61 days
d = timedelta(days=31)
dt = dt1.replace(day=1, hour=0, minute=0, second=0,
microsecond=0) + d
while dt < dt2:
# make sure that we are on day 1 (even if always sum 31 days)
dt = dt.replace(day=1)
majticks.append(mktime(dt.timetuple()))
dt += d
elif dx > 172800: # 3600s24*2 = 2 days
d = timedelta(days=1)
dt = dt1.replace(hour=0, minute=0, second=0, microsecond=0) + d
while dt < dt2:
majticks.append(mktime(dt.timetuple()))
dt += d
elif dx > 7200: # 3600s*2 = 2hours
d = timedelta(hours=1)
dt = dt1.replace(minute=0, second=0, microsecond=0) + d
while dt < dt2:
majticks.append(mktime(dt.timetuple()))
dt += d
elif dx > 1200: # 60s*20 = 20 minutes
d = timedelta(minutes=10)
dt = dt1.replace(
minute=(dt1.minute // 10) * 10, second=0, microsecond=0) + d
while dt < dt2:
majticks.append(mktime(dt.timetuple()))
dt += d
elif dx > 120: # 60s*2 = 2 minutes
d = timedelta(minutes=1)
dt = dt1.replace(second=0, microsecond=0) + d
while dt < dt2:
majticks.append(mktime(dt.timetuple()))
dt += d
elif dx > 20: # 20s
d = timedelta(seconds=10)
dt = dt1.replace(second=(dt1.second // 10) * 10, microsecond=0) + d
while dt < dt2:
majticks.append(mktime(dt.timetuple()))
dt += d
elif dx > 2: # 2s
d = timedelta(seconds=1)
majticks = range(int(minVal), int(maxVal))
else: # <2s , use standard implementation from parent
return AxisItem.tickValues(self, minVal, maxVal, size)
L = len(majticks)
if L > maxMajSteps and maxMajSteps > 0:
majticks = majticks[::int(numpy.ceil(float(L) / maxMajSteps))]
return [(d.total_seconds(), majticks)]
class DataWidget(QWidget):
def __init__(self, parent, shared_data):
super(DataWidget, self).__init__(parent)
self.__shared_data = shared_data
self.__shared_data.update_sync.emit()
# Add the file selection controls
self.__dir_picker_button = QPushButton()
self.__dir_picker_button.setEnabled(True)
self.__dir_picker_button.setText("Load data")
self.__dir_picker_button.setIcon(self.style().standardIcon(QStyle.SP_DirIcon))
self.__dir_picker_button.setToolTip('Select the directory using the file explorer')
self.__dir_picker_button.clicked.connect(self.__open_dir_picker)
# Add the sync controls
self.__sync_time_label = QLabel()
self.__sync_time_label.setText('Enter the timecode (HH:mm:ss:zzz) : ')
self.__sync_time_edit = QTimeEdit()
self.__sync_time_edit.setDisplayFormat('HH:mm:ss:zzz')
self.__sync_time_edit.setEnabled(False)
self.__sync_time_button = QPushButton()
self.__sync_time_button.setText('Sync data')
self.__sync_time_button.setEnabled(False)
self.__sync_time_button.clicked.connect(self.__sync_data)
# Create the layout for the file controls
dir_layout = QHBoxLayout()
dir_layout.setContentsMargins(0, 0, 0, 0)
dir_layout.addWidget(self.__dir_picker_button)
dir_layout.addStretch(1)
dir_layout.addWidget(self.__sync_time_label)
dir_layout.addWidget(self.__sync_time_edit)
dir_layout.addWidget(self.__sync_time_button)
# Create the axis and their viewbox
self.__x_axis_item = AxisItem('left')
self.__y_axis_item = AxisItem('left')
self.__z_axis_item = AxisItem('left')
self.__x_axis_viewbox = ViewBox()
self.__y_axis_viewbox = ViewBox()
self.__z_axis_viewbox = ViewBox()
# Create the widget which will display the data
self.__graphic_view = GraphicsView(background="#ecf0f1")
self.__graphic_layout = GraphicsLayout()
self.__graphic_view.setCentralWidget(self.__graphic_layout)
# Add the axis to the widget
self.__graphic_layout.addItem(self.__x_axis_item, row=2, col=3, rowspan=1, colspan=1)
self.__graphic_layout.addItem(self.__y_axis_item, row=2, col=2, rowspan=1, colspan=1)
self.__graphic_layout.addItem(self.__z_axis_item, row=2, col=1, rowspan=1, colspan=1)
self.__plot_item = PlotItem()
self.__plot_item_viewbox = self.__plot_item.vb
self.__graphic_layout.addItem(self.__plot_item, row=2, col=4, rowspan=1, colspan=1)
self.__graphic_layout.scene().addItem(self.__x_axis_viewbox)
self.__graphic_layout.scene().addItem(self.__y_axis_viewbox)
self.__graphic_layout.scene().addItem(self.__z_axis_viewbox)
self.__x_axis_item.linkToView(self.__x_axis_viewbox)
self.__y_axis_item.linkToView(self.__y_axis_viewbox)
self.__z_axis_item.linkToView(self.__z_axis_viewbox)
self.__x_axis_viewbox.setXLink(self.__plot_item_viewbox)
self.__y_axis_viewbox.setXLink(self.__plot_item_viewbox)
self.__z_axis_viewbox.setXLink(self.__plot_item_viewbox)
self.__plot_item_viewbox.sigResized.connect(self.__update_views)
self.__x_axis_viewbox.enableAutoRange(axis=ViewBox.XAxis, enable=True)
self.__y_axis_viewbox.enableAutoRange(axis=ViewBox.XAxis, enable=True)
self.__z_axis_viewbox.enableAutoRange(axis=ViewBox.XAxis, enable=True)
# Create the final layout
self.__v_box = QVBoxLayout()
self.__v_box.addLayout(dir_layout)
self.__v_box.addWidget(self.__graphic_view)
self.setLayout(self.__v_box)
self.__restore_state()
def __open_dir_picker(self):
self.__shared_data.data_file_path = QFileDialog.getOpenFileUrl(self, 'Open the Hexoskin data directory',
QDir.homePath())[0]
if self.__shared_data.data_file_path is not None:
try:
self.__load_data()
self.__add_selector_acc_gyr()
self.__show_data('ACC_X', 'ACC_Y', 'ACC_Z')
except FileNotFoundError:
pass
except UnicodeDecodeError:
pass
def __load_data(self):
if self.__shared_data.data_file_path is not None:
self.__shared_data.import_parameter()
def __show_data(self, field1, field2, field3):
if self.__shared_data.parameter is not None:
# Generate the timecodes if needed
if len(self.__shared_data.parameter['TIMECODE']) == 0:
if self.__shared_data.sampling_rate is None:
result = False
while not result and result == 0:
result = self.__show_sampling_rate_picker()
self.__shared_data.add_timecode()
self.__x_axis_viewbox.clear()
self.__y_axis_viewbox.clear()
self.__z_axis_viewbox.clear()
# Show the 3 selected fields
self.__x_axis_viewbox.addItem(PlotCurveItem(list(map(int, self.__shared_data.parameter.get(field1))),
pen='#34495e'))
self.__y_axis_viewbox.addItem(PlotCurveItem(list(map(int, self.__shared_data.parameter.get(field2))),
pen='#9b59b6'))
self.__z_axis_viewbox.addItem(PlotCurveItem(list(map(int, self.__shared_data.parameter.get(field3))),
pen='#3498db'))
self.__x_axis_item.setLabel(field1, color="#34495e")
self.__y_axis_item.setLabel(field2, color="#9b59b6")
self.__z_axis_item.setLabel(field3, color="#3498db")
# Add the middle line and the bottom timecodes
timecodes = self.__shared_data.parameter['TIMECODE']
middle = [0] * len(timecodes)
self.__plot_item_viewbox.addItem(PlotCurveItem(middle, pen='#000000'))
self.__plot_item.getAxis('bottom').setTicks(
self.__generate_time_ticks(timecodes, self.__shared_data.sampling_rate))
# Enable the controls
self.__sync_time_edit.setEnabled(True)
self.__sync_time_button.setEnabled(True)
self.__dir_picker_button.setEnabled(False)
self.__update_views()
def __update_views(self):
self.__x_axis_viewbox.setGeometry(self.__plot_item_viewbox.sceneBoundingRect())
self.__y_axis_viewbox.setGeometry(self.__plot_item_viewbox.sceneBoundingRect())
self.__z_axis_viewbox.setGeometry(self.__plot_item_viewbox.sceneBoundingRect())
def __generate_time_ticks(self, timecodes, rate):
ticks = list()
steps = [rate * 30, rate * 15, rate * 5, rate]
for step in steps:
temp = list()
i = step
while i in range(len(timecodes)):
temp.append((i, timecodes[i].strftime('%H:%M:%S:') + str(int(timecodes[i].microsecond / 1000))))
i += step
ticks.append(temp)
return ticks
def __sync_data(self):
self.__shared_data.data_sync = self.__sync_time_edit.text()
self.__shared_data.update_sync.emit()
def __show_sampling_rate_picker(self) -> bool:
self.__shared_data.sampling_rate, result = QInputDialog.getInt(self, 'Set sampling rate value', 'Sampling rate')
return result
def __add_selector_acc_gyr(self):
if 'GYR_X' in self.__shared_data.parameter.keys() or 'GYR_Y' in self.__shared_data.parameter.keys() \
or 'GYR_Z' in self.__shared_data.parameter.keys():
show_acc = QPushButton()
show_acc.setText('Show Accelerometer Axis')
show_acc.clicked.connect(self.__show_acc)
show_gyr = QPushButton()
show_gyr.setText('Show Gyroscope Axis')
show_gyr.clicked.connect(self.__show_gyr)
layout = QHBoxLayout()
layout.addWidget(show_acc)
layout.addWidget(show_gyr)
layout.addStretch(1)
self.__v_box.addLayout(layout)
def __show_acc(self):
self.__show_data('ACC_X', 'ACC_Y', 'ACC_Z')
def __show_gyr(self):
self.__show_data('GYR_X', 'GYR_Y', 'GYR_Z')
def __restore_state(self):
if self.__shared_data.parameter is not None:
self.__add_selector_acc_gyr()
self.__show_data('ACC_X', 'ACC_Y', 'ACC_Z')
print('trigger reimport')
if self.__shared_data.data_sync is not None:
text_time = self.__shared_data.data_sync.split(':')
time = QTime()
time.setHMS(int(text_time[0]), int(text_time[1]), int(text_time[2]), int(text_time[3]))
self.__sync_time_edit.setTime(time)
