class FigureWidget(QWidget):
def __init__( self, title=f"Figure", yRange=[-2, 6], \
xdata=[], ydata=[], \
color=20 \
):
super().__init__()
self.title = f'<h3> {title} </h3>'
self.color = color
self.x_data = np.array(xdata)
self.y_data = np.array(ydata)
self.y_min, self.y_max = yRange[0] , yRange[1]
self.initFigure()
def initFigure(self):
# Configure Layout
self.layout_model = QGridLayout()
self.setLayout( self.layout_model )
# Figure title is 1x3 (row x col) excel cell
self.TITLE = QLabel(text=self.title)
self.TITLE.setSizePolicy(QSizePolicy.Expanding, QSizePolicy.Expanding)
self.TITLE.setAlignment(QtCoreQtClass.AlignCenter)
self.layout_model.addWidget(self.TITLE, 0, 0, 1, 3)
self.layout_model.setRowStretch(0, 1)
#Figure size is 4x3 (row x col) excel cell
self.Figure = PlotWidget()
self.Figure.setYRange(self.y_min, self.y_max)
self.graph = PlotCurveItem(pen = self.color )
#plot initial data
self.graph.setData(self.x_data, self.y_data)
self.Figure.addItem(self.graph)
# add to main figure widget & resize the grid layout
self.layout_model.addWidget(self.Figure, 1, 0, 4, 3)
for n in range(4):
self.layout_model.setRowStretch(n+1, 7)
def PlotData(self, x_data, y_data):
self.x_data = x_data
self.y_data = y_data
self.graph.setData(self.x_data, self.y_data)
class ProcessImage(QWidget):
def __init__(self, parent=None, place='LI-Energy', prefix=_VACA_PREFIX):
super().__init__(parent)
self._place = place or 'LI-Energy'
self._prefix = prefix
self._select_experimental_setup()
self.cen_x = None
self.cen_y = None
self.sigma_x = None
self.sigma_y = None
self.bg_ready = False
self.bg = None
self.nbg = 0
self._setupUi()
def _select_experimental_setup(self):
pref = self._prefix
if self._place.lower().startswith('li-ene'):
prof = pref + ('-' if pref else '') + 'LA-BI:PRF4'
self.conv_coefx = PV(prof + ':X:Gauss:Coef')
self.conv_coefy = PV(prof + ':Y:Gauss:Coef')
self.image_channel = prof + ':RAW:ArrayData'
self.width_channel = prof + ':ROI:MaxSizeX_RBV'
self.trig_name = 'LI-Fam:TI-Scrn'
elif self._place.lower().startswith('li-emit'):
prof = pref + ('-' if pref else '') + 'LA-BI:PRF5'
self.conv_coefx = PV(prof + ':X:Gauss:Coef')
self.conv_coefy = PV(prof + ':Y:Gauss:Coef')
self.image_channel = prof + ':RAW:ArrayData'
self.width_channel = prof + ':ROI:MaxSizeX_RBV'
self.trig_name = 'LI-Fam:TI-Scrn'
elif self._place.lower().startswith('tb-emit'):
prof = _PVName('TB-02:DI-ScrnCam-2').substitute(prefix=pref)
self.conv_coefx = PV(prof.substitute(propty='ImgScaleFactorX-RB'))
self.conv_coefy = PV(prof.substitute(propty='ImgScaleFactorY-RB'))
prof = _PVName('TB-02:DI-Scrn-2').substitute(prefix=pref)
self.image_channel = prof.substitute(propty='ImgData-Mon')
self.width_channel = prof.substitute(propty='ImgROIWidth-RB')
self.trig_name = 'TB-Fam:TI-Scrn'
else:
raise Exception('Wrong value for "place".')
def _setupUi(self):
vl = QVBoxLayout(self)
self.image_view = ImageView(
self.process_image,
parent=self,
image_channel=self.image_channel,
width_channel=self.width_channel)
self.image_view.maxRedrawRate = 5
self.image_view.readingOrder = self.image_view.Clike
self.plt_roi = PlotCurveItem([0, 0, 400, 400, 0], [0, 400, 400, 0, 0])
pen = mkPen()
pen.setColor(QColor('red'))
pen.setWidth(1)
self.plt_roi.setPen(pen)
self.image_view.addItem(self.plt_roi)
self.plt_fit_x = PlotCurveItem([0, 0], [0, 400])
self.plt_fit_y = PlotCurveItem([0, 0], [0, 400])
self.plt_his_x = PlotCurveItem([0, 0], [0, 400])
self.plt_his_y = PlotCurveItem([0, 0], [0, 400])
pen = mkPen()
pen.setColor(QColor('yellow'))
self.plt_his_x.setPen(pen)
self.plt_his_y.setPen(pen)
self.image_view.addItem(self.plt_fit_x)
self.image_view.addItem(self.plt_fit_y)
self.image_view.addItem(self.plt_his_x)
self.image_view.addItem(self.plt_his_y)
vl.addWidget(self.image_view)
gb_trig = QGroupBox('Trigger', self)
vl.addWidget(gb_trig)
gb_trig.setLayout(QVBoxLayout())
gb_trig.layout().addWidget(HLTriggerSimple(
gb_trig, device=self.trig_name, prefix=self._prefix))
gb_pos = QGroupBox('Position [mm]', self)
vl.addWidget(gb_pos)
hl = QHBoxLayout(gb_pos)
fl = QFormLayout()
hl.addLayout(fl)
self.cbox_method = QComboBox(gb_pos)
self.cbox_method.addItem('Gauss Fit')
self.cbox_method.addItem('Moments')
fl.addRow(QLabel('Method', gb_pos), self.cbox_method)
self.spbox_roi_size_x = QSpinBoxPlus(gb_pos)
self.spbox_roi_size_y = QSpinBoxPlus(gb_pos)
self.spbox_roi_center_x = QSpinBoxPlus(gb_pos)
self.spbox_roi_center_y = QSpinBoxPlus(gb_pos)
self.spbox_roi_size_x.setKeyboardTracking(False)
self.spbox_roi_size_y.setKeyboardTracking(False)
self.spbox_roi_center_x.setKeyboardTracking(False)
self.spbox_roi_center_y.setKeyboardTracking(False)
self.spbox_roi_size_x.setMaximum(2448)
self.spbox_roi_size_y.setMaximum(2050)
self.spbox_roi_center_x.setMaximum(2448)
self.spbox_roi_center_y.setMaximum(2050)
self.spbox_roi_size_x.setValue(300)
self.spbox_roi_size_y.setValue(400)
self.spbox_roi_center_x.setValue(500)
self.spbox_roi_center_y.setValue(500)
fl.addRow(QLabel('ROI Size X', gb_pos), self.spbox_roi_size_x)
fl.addRow(QLabel('ROI Size Y', gb_pos), self.spbox_roi_size_y)
self.cbbox_auto_center = QCheckBox('Automatic Centering', gb_pos)
self.cbbox_auto_center.clicked.connect(self.cbbox_auto_center_clicked)
self.cbbox_auto_center.setChecked(True)
fl.addRow(self.cbbox_auto_center)
fl.addRow(QLabel('ROI Center X', gb_pos), self.spbox_roi_center_x)
fl.addRow(QLabel('ROI Center Y', gb_pos), self.spbox_roi_center_y)
self.spbox_img_max = QSpinBoxPlus(gb_pos)
self.spbox_img_max.setKeyboardTracking(False)
self.spbox_img_max.setMinimum(0)
self.spbox_img_max.setMaximum(2448)
self.spbox_img_max.setValue(0)
fl.addRow(QLabel('Max. Pixel Val.', gb_pos), self.spbox_img_max)
self.cbbox_acq_bg = QCheckBox('Acquire Background', gb_pos)
self.cbbox_acq_bg.clicked.connect(self.cbbox_acq_bg_checked)
fl.addRow(self.cbbox_acq_bg)
self.pb_reset_bg = QPushButton('Reset BG', gb_pos)
self.pb_reset_bg.clicked.connect(self.pb_reset_bg_clicked)
fl.addRow(self.pb_reset_bg)
fl = QFormLayout()
hl.addLayout(fl)
self.lb_xave = QLabel('0', gb_pos)
self.lb_yave = QLabel('0', gb_pos)
self.lb_xstd = QLabel('0', gb_pos)
self.lb_ystd = QLabel('0', gb_pos)
fl.addRow(QLabel('Average Position', gb_pos))
fl.addRow(QLabel('x = ', gb_pos), self.lb_xave)
fl.addRow(QLabel('y = ', gb_pos), self.lb_yave)
fl.addRow(QLabel('Beam Size', gb_pos))
fl.addRow(QLabel('x = ', gb_pos), self.lb_xstd)
fl.addRow(QLabel('y = ', gb_pos), self.lb_ystd)
hl.setSpacing(12)
hl.setStretch(0, 1)
hl.setStretch(1, 1)
def cbbox_auto_center_clicked(self, clicked):
self.spbox_roi_center_x.setEnabled(not clicked)
self.spbox_roi_center_y.setEnabled(not clicked)
def pb_reset_bg_clicked(self, clicked=False):
self.bg_ready = False
self.bg = None
self.nbg = 0
def cbbox_acq_bg_checked(self, check):
if check:
self.pb_reset_bg_clicked()
else:
if self.bg is not None:
self.bg /= self.nbg
self.bg_ready = True
def calc_roi(self, image):
proj_x = image.sum(axis=0)
proj_y = image.sum(axis=1)
axis_x = np.arange(image.shape[1])
axis_y = np.arange(image.shape[0])
if self.cbbox_auto_center.isChecked():
cen_x, _ = _calc_moments(axis_x, proj_x)
cen_y, _ = _calc_moments(axis_y, proj_y)
else:
cen_x = self.spbox_roi_center_x.value()
cen_y = self.spbox_roi_center_y.value()
roi_size_x = self.spbox_roi_size_x.value()
roi_size_y = self.spbox_roi_size_y.value()
strt_x, end_x = np.array([-1, 1])*roi_size_x + int(cen_x)
strt_y, end_y = np.array([-1, 1])*roi_size_y + int(cen_y)
strt_x = max(strt_x, 0)
strt_y = max(strt_y, 0)
end_x = min(end_x, image.shape[1])
end_y = min(end_y, image.shape[0])
self.plt_roi.setData(
np.array([strt_x, strt_x, end_x, end_x, strt_x]),
np.array([strt_y, end_y, end_y, strt_y, strt_y]))
image = image[strt_y:end_y, strt_x:end_x]
proj_x = image.sum(axis=0)
proj_y = image.sum(axis=1)
axis_x = axis_x[strt_x:end_x]
axis_y = axis_y[strt_y:end_y]
return proj_x, proj_y, axis_x, axis_y
def process_image(self, image, wid):
if wid <= 0:
return image
try:
image = image.reshape((-1, wid))
except (TypeError, ValueError, AttributeError):
return image
if self.cbbox_acq_bg.isChecked():
if self.bg is None:
self.bg = np.array(image, dtype=float)
else:
self.bg += np.array(image, dtype=float)
self.nbg += 1
return image
if self.bg_ready:
image -= np.array(self.bg, dtype=image.dtype)
b = np.where(image < 0)
image[b] = 0
maxi = self.spbox_img_max.value()
if maxi > 0:
b = np.where(image > maxi)
self.image_view.colorMapMax = maxi
image[b] = maxi
proj_x, proj_y, axis_x, axis_y = self.calc_roi(image)
x_max = max(proj_x)
y_max = max(proj_y)
if self.cbox_method.currentIndex():
cen_x, std_x = _calc_moments(axis_x, proj_x)
cen_y, std_y = _calc_moments(axis_y, proj_y)
amp_x = x_max
amp_y = y_max
off_x = 0
off_y = 0
else:
amp_x, cen_x, std_x, off_x = _fit_gaussian(axis_x, proj_x)
amp_y, cen_y, std_y, off_y = _fit_gaussian(axis_y, proj_y)
std_x = abs(std_x)
std_y = abs(std_y)
yd = _gaussian(axis_x, amp_x, cen_x, std_x, off_x)/x_max*400
self.plt_fit_x.setData(axis_x, yd + axis_y[0])
self.plt_his_x.setData(axis_x, proj_x/x_max*400 + axis_y[0])
yd = _gaussian(axis_y, amp_y, cen_y, std_y, off_y)/y_max*400
self.plt_fit_y.setData(yd + axis_x[0], axis_y)
self.plt_his_y.setData(proj_y/y_max*400 + axis_x[0], axis_y)
offset_x = image.shape[1]/2
offset_y = image.shape[0]/2
self.lb_xave.setText('{0:4d}'.format(int(cen_x or 0)))
self.lb_yave.setText('{0:4d}'.format(int(cen_y or 0)))
self.lb_xstd.setText('{0:4d}'.format(int(std_x or 0)))
self.lb_ystd.setText('{0:4d}'.format(int(std_y or 0)))
coefx = self.conv_coefx.value
coefy = self.conv_coefy.value
if coefx is None or coefy is None:
return
cen_x -= offset_x
cen_y -= offset_y
self.cen_x = cen_x * coefx*1e-3 # transform to meter
self.cen_y = cen_y * coefy*1e-3
self.sigma_x = std_x * coefx*1e-3
self.sigma_y = std_y * coefy*1e-3
return image
def get_params(self):
return self.cen_x, self.sigma_x, self.cen_y, self.sigma_y
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]
class CurveItem:
"""Represents a curve to be plotted in a diagram."""
SignalAppearance = namedtuple('SignalAppearance',
['pen_color', 'pen_width', 'pen_style'])
colors = [
SignalAppearance(QtGui.QColor(255, 255, 0), 1,
QtCore.Qt.SolidLine),
SignalAppearance(QtGui.QColor(255, 0, 0), 1,
QtCore.Qt.SolidLine),
SignalAppearance(QtGui.QColor(0, 255, 0), 1,
QtCore.Qt.SolidLine),
SignalAppearance(QtGui.QColor(255, 255, 255), 1,
QtCore.Qt.SolidLine),
SignalAppearance(QtGui.QColor(51, 153, 255), 1,
QtCore.Qt.SolidLine),
SignalAppearance(QtGui.QColor(0, 255, 255), 1,
QtCore.Qt.SolidLine),
SignalAppearance(QtGui.QColor(255, 0, 255), 1,
QtCore.Qt.SolidLine),
SignalAppearance(QtGui.QColor(204, 153, 102), 1,
QtCore.Qt.SolidLine),
SignalAppearance(QtGui.QColor(0, 0, 255), 1,
QtCore.Qt.SolidLine),
SignalAppearance(QtGui.QColor(0, 255, 0), 1,
QtCore.Qt.SolidLine),
SignalAppearance(QtGui.QColor(255, 204, 0), 1,
QtCore.Qt.SolidLine),
SignalAppearance(QtGui.QColor(153, 255, 153), 2,
QtCore.Qt.DotLine),
SignalAppearance(QtGui.QColor(255, 170, 0), 2,
QtCore.Qt.DashLine),
SignalAppearance(QtGui.QColor(255, 0, 0), 2,
QtCore.Qt.DashLine),
SignalAppearance(QtGui.QColor(0, 255, 255), 1,
QtCore.Qt.DotLine),
SignalAppearance(QtGui.QColor(255, 170, 255), 1,
QtCore.Qt.DashLine),
SignalAppearance(QtGui.QColor(127, 255, 127), 1,
QtCore.Qt.DashLine),
SignalAppearance(QtGui.QColor(255, 255, 127), 1,
QtCore.Qt.DashLine),
SignalAppearance(QtGui.QColor(255, 0, 0), 2,
QtCore.Qt.DotLine),
SignalAppearance(QtGui.QColor(255, 0, 0), 1,
QtCore.Qt.DashLine),
SignalAppearance(QtGui.QColor(0, 255, 0), 2,
QtCore.Qt.DotLine),
SignalAppearance(QtGui.QColor(255, 255, 255), 2,
QtCore.Qt.SolidLine),
SignalAppearance(QtGui.QColor(51, 153, 255), 1,
QtCore.Qt.DashLine),
SignalAppearance(QtGui.QColor(255, 0, 255), 1,
QtCore.Qt.DashLine),
SignalAppearance(QtGui.QColor(255, 153, 204), 1,
QtCore.Qt.DashLine),
SignalAppearance(QtGui.QColor(204, 153, 102), 1,
QtCore.Qt.DashLine),
SignalAppearance(QtGui.QColor(255, 204, 0), 1,
QtCore.Qt.DashLine),
SignalAppearance(QtGui.QColor(255, 0, 255), 1,
QtCore.Qt.DashLine),
SignalAppearance(QtGui.QColor(255, 153, 204), 1,
QtCore.Qt.DashLine),
SignalAppearance(QtGui.QColor(204, 153, 102), 1,
QtCore.Qt.DashLine),
SignalAppearance(QtGui.QColor(255, 204, 0), 1,
QtCore.Qt.DashLine)
]
def __init__(self, subscription_id, driver_addr, sig_name, y_axis,
color_idx):
"""
Initializes an instance of class CurveItem.
driver_addr - IcePAP driver address.
sig_name - Signal name.
y_axis - Y axis to plot against.
"""
self.subscription_id = subscription_id
self.driver_addr = driver_addr
self.signal_name = sig_name
self.y_axis = y_axis
self.array_time = []
self.array_val = []
self.val_min = 0
self.val_max = 0
col_item = self.colors[color_idx]
self.color = col_item.pen_color
self.pen = {'color': col_item.pen_color,
'width': col_item.pen_width,
'style': col_item.pen_style}
self.curve = None
self.lock = RLock()
self.signature = ''
self.update_signature()
def update_signature(self):
"""Sets the new value of the signature string."""
self.signature = '{}:{}:{}'.format(self.driver_addr,
self.signal_name,
self.y_axis)
def create_curve(self):
"""Creates a new plot item."""
with self.lock:
self.curve = PlotCurveItem(x=self.array_time,
y=self.array_val,
pen=self.pen)
return self.curve
def update_curve(self, time_min, time_max):
"""Updates the curve with recent collected data."""
with self.lock:
idx_min = self.get_time_index(time_min)
idx_max = self.get_time_index(time_max)
self.curve.setData(x=self.array_time[idx_min:idx_max],
y=self.array_val[idx_min:idx_max])
def in_range(self, t):
"""
Check to see if time is within range of collected data.
t - Time value.
Return: True if time is within range of collected data.
Otherwise False.
"""
with self.lock:
if self.array_time and \
self.array_time[0] < t < self.array_time[-1]:
return True
return False
def start_time(self):
"""
Get time for first data sample.
Return: Time of the first collected data sample. -1 if none.
"""
with self.lock:
if self.array_time:
return self.array_time[0]
return -1
def collect(self, new_data):
"""Store new collected data."""
with self.lock:
if not self.array_val:
self.val_min = self.val_max = new_data[0][1]
for t, v in new_data:
self.array_time.append(t)
self.array_val.append(v)
if v > self.val_max:
self.val_max = v
elif v < self.val_min:
self.val_min = v
def get_y(self, time_val):
"""
Retrieve the signal value corresponding to the provided time value.
t_val - Time value.
Return: Signal value corresponding to an adjacent sample in time.
"""
with self.lock:
idx = self.get_time_index(time_val)
return self.array_val[idx]
def clear(self):
self.array_time[:] = []
self.array_val[:] = []
def get_time_index(self, time_val):
"""
Retrieve the sample index corresponding to the provided time value.
t_val - Time value.
Return: Index of a sample adjacent to the provided time value.
"""
with self.lock:
if not self.array_time:
return -1
if len(self.array_time) == 1:
return 0
time_min = self.array_time[0]
time_max = self.array_time[-1]
if time_val < time_min:
return 0
elif time_val > time_max:
return len(self.array_time)
delta_t = time_max - time_min
t = time_val - time_min
idx = int((t / delta_t) * len(self.array_time))
while self.array_time[idx] > time_val:
idx -= 1
while self.array_time[idx] < time_val:
idx += 1
return idx
class SiriusProcessImage(QWidget):
def __init__(self, parent=None, device='', convertion_set=True,
orientation='V'):
super().__init__(parent)
self._dev = SiriusPVName(device)
self._conv_set = convertion_set
self._ori = orientation
self._setupUi()
def _setupUi(self):
self.image_view = PyDMImageView(
parent=self,
image_channel=self._dev+':Image-RB',
width_channel=self._dev+':Width-RB')
self.image_view.setObjectName('image')
self.image_view.setStyleSheet(
'#image{min-width:20em; min-height:20em;}')
self.image_view.maxRedrawRate = 5
self.image_view.colorMap = self.image_view.Jet
self.image_view.readingOrder = self.image_view.Clike
self._roixproj = SiriusConnectionSignal(self._dev+':ROIProjX-Mon')
self._roiyproj = SiriusConnectionSignal(self._dev+':ROIProjY-Mon')
self._roixfit = SiriusConnectionSignal(self._dev+':ROIGaussFitX-Mon')
self._roiyfit = SiriusConnectionSignal(self._dev+':ROIGaussFitY-Mon')
self._roixaxis = SiriusConnectionSignal(self._dev+':ROIAxisX-Mon')
self._roiyaxis = SiriusConnectionSignal(self._dev+':ROIAxisY-Mon')
self._roistartx = SiriusConnectionSignal(self._dev+':ROIStartX-Mon')
self._roistarty = SiriusConnectionSignal(self._dev+':ROIStartY-Mon')
self._roiendx = SiriusConnectionSignal(self._dev+':ROIEndX-Mon')
self._roiendy = SiriusConnectionSignal(self._dev+':ROIEndY-Mon')
self._roixproj.new_value_signal[np.ndarray].connect(self._update_roi)
self.plt_roi = PlotCurveItem([0, 0, 500, 500, 0], [0, 500, 500, 0, 0])
pen = mkPen()
pen.setColor(QColor('red'))
pen.setWidth(1)
self.plt_roi.setPen(pen)
self.image_view.addItem(self.plt_roi)
self.plt_fit_x = PlotCurveItem([0, 0], [0, 400])
self.plt_fit_y = PlotCurveItem([0, 0], [0, 400])
self.plt_his_x = PlotCurveItem([0, 0], [0, 400])
self.plt_his_y = PlotCurveItem([0, 0], [0, 400])
pen = mkPen()
pen.setColor(QColor('yellow'))
self.plt_his_x.setPen(pen)
self.plt_his_y.setPen(pen)
self.image_view.addItem(self.plt_fit_x)
self.image_view.addItem(self.plt_fit_y)
self.image_view.addItem(self.plt_his_x)
self.image_view.addItem(self.plt_his_y)
gb_conf = self._get_config_widget(self)
gb_posi = self._get_position_widget(self)
gb_size = self._get_size_widget(self)
gl = QGridLayout(self)
gl.setContentsMargins(0, 0, 0, 0)
if self._ori == 'V':
gl.addWidget(self.image_view, 0, 0, 1, 2)
gl.addWidget(gb_posi, 1, 0)
gl.addWidget(gb_size, 1, 1)
gl.addWidget(gb_conf, 2, 0, 1, 2)
else:
gl.addWidget(self.image_view, 0, 0, 1, 2)
gl.addWidget(gb_conf, 0, 2, 2, 1)
gl.addWidget(gb_posi, 1, 0)
gl.addWidget(gb_size, 1, 1)
gl.setColumnStretch(0, 5)
gl.setColumnStretch(1, 5)
gl.setColumnStretch(2, 1)
def _get_config_widget(self, parent):
gb_pos = QGroupBox('Image Processing ', parent)
meth_sp = PyDMEnumComboBox(
gb_pos, init_channel=self._dev+':CalcMethod-Sel')
meth_lb = SiriusLabel(gb_pos, init_channel=self._dev+':CalcMethod-Sts')
meth_ld = QLabel('Method', gb_pos)
nrpt_ld = QLabel('Num. Pts.', gb_pos)
nrpt_sp = SiriusSpinbox(
gb_pos, init_channel=self._dev+':NrAverages-SP')
nrpt_sp.showStepExponent = False
rdb = PyDMLabel(gb_pos, init_channel=self._dev+':NrAverages-RB')
rdb.setAlignment(Qt.AlignLeft | Qt.AlignVCenter)
slsh = QLabel('/', gb_pos, alignment=Qt.AlignCenter)
slsh.setStyleSheet('min-width:0.7em; max-width:0.7em;')
cnt = PyDMLabel(gb_pos, init_channel=self._dev+':BufferSize-Mon')
cnt.setAlignment(Qt.AlignRight | Qt.AlignVCenter)
cnt.setToolTip('Current Buffer Size')
pbt = PyDMPushButton(
gb_pos, init_channel=self._dev+':ResetBuffer-Cmd', pressValue=1)
pbt.setToolTip('Reset Buffer')
pbt.setIcon(qta.icon('mdi.delete-empty'))
pbt.setObjectName('rst')
pbt.setStyleSheet(
'#rst{min-width:25px; max-width:25px; icon-size:20px;}')
nrpt_wd = QWidget(gb_pos)
hbl = QHBoxLayout(nrpt_wd)
hbl.addWidget(pbt)
hbl.addStretch()
hbl.addWidget(cnt)
hbl.addWidget(slsh)
hbl.addWidget(rdb)
rsx_sp = SiriusSpinbox(gb_pos, init_channel=self._dev+':ROISizeX-SP')
rsx_sp.showStepExponent = False
rsx_lb = SiriusLabel(gb_pos, init_channel=self._dev+':ROISizeX-RB')
rsx_ld = QLabel('ROI Size X', gb_pos)
rsy_sp = SiriusSpinbox(gb_pos, init_channel=self._dev+':ROISizeY-SP')
rsy_sp.showStepExponent = False
rsy_lb = SiriusLabel(gb_pos, init_channel=self._dev+':ROISizeY-RB')
rsy_ld = QLabel('ROI Size Y', gb_pos)
ra_bt = PyDMStateButton(
gb_pos, init_channel=self._dev+':ROIAutoCenter-Sel')
ra_lb = SiriusLabel(
gb_pos, init_channel=self._dev+':ROIAutoCenter-Sts')
ra_ld = QLabel('Auto Center:', gb_pos)
rcx_sp = SiriusSpinbox(gb_pos, init_channel=self._dev+':ROICenterX-SP')
rcx_sp.showStepExponent = False
rcx_lb = SiriusLabel(gb_pos, init_channel=self._dev+':ROICenterX-RB')
rcx_ld = QLabel('ROI Center X', gb_pos)
rcy_sp = SiriusSpinbox(gb_pos, init_channel=self._dev+':ROICenterY-SP')
rcy_sp.showStepExponent = False
rcy_lb = SiriusLabel(gb_pos, init_channel=self._dev+':ROICenterY-RB')
rcy_ld = QLabel('ROI Center Y', gb_pos)
sts_bt = QPushButton(qta.icon('fa5s.ellipsis-h'), '', gb_pos)
sts_bt.setToolTip('Open Detailed Configs')
sts_bt.setObjectName('sts')
sts_bt.setStyleSheet(
'#sts{min-width:25px; max-width:25px; icon-size:20px;}')
Window = create_window_from_widget(
_DetailedWidget, title='Image Processing Detailed Configs')
connect_window(
sts_bt, Window, gb_pos, device=self._dev,
convertion_set=self._conv_set)
hlay = QHBoxLayout()
hlay.addWidget(sts_bt, alignment=Qt.AlignRight)
lay = QGridLayout(gb_pos)
if self._ori == 'V':
lay.addWidget(meth_ld, 0, 0, 2, 1, alignment=Qt.AlignLeft)
lay.addWidget(meth_sp, 0, 1)
lay.addWidget(meth_lb, 1, 1)
lay.addWidget(nrpt_ld, 2, 0, alignment=Qt.AlignLeft)
lay.addWidget(nrpt_sp, 2, 1)
lay.addWidget(nrpt_wd, 3, 0, 1, 2)
lay.addWidget(rsx_ld, 4+0, 0, 2, 1, alignment=Qt.AlignLeft)
lay.addWidget(rsx_sp, 4+0, 1)
lay.addWidget(rsx_lb, 4+1, 1)
lay.addWidget(rsy_ld, 6+0, 0, 2, 1, alignment=Qt.AlignLeft)
lay.addWidget(rsy_sp, 6+0, 1)
lay.addWidget(rsy_lb, 6+1, 1)
lay.addWidget(sts_bt, 0, 0+4, alignment=Qt.AlignRight)
lay.addWidget(ra_ld, 2+0, 0+3, 2, 1, alignment=Qt.AlignLeft)
lay.addWidget(ra_bt, 2+0, 1+3)
lay.addWidget(ra_lb, 2+1, 1+3, alignment=Qt.AlignLeft)
lay.addWidget(rcx_ld, 4+0, 0+3, 2, 1, alignment=Qt.AlignLeft)
lay.addWidget(rcx_sp, 4+0, 1+3)
lay.addWidget(rcx_lb, 4+1, 1+3)
lay.addWidget(rcy_ld, 6+0, 0+3, 2, 1, alignment=Qt.AlignLeft)
lay.addWidget(rcy_sp, 6+0, 1+3)
lay.addWidget(rcy_lb, 6+1, 1+3)
else:
lay.addWidget(meth_ld, 0, 0, 2, 1, alignment=Qt.AlignLeft)
lay.addWidget(meth_sp, 0, 1)
lay.addWidget(meth_lb, 1, 1)
lay.addWidget(nrpt_ld, 2, 0, alignment=Qt.AlignLeft)
lay.addWidget(nrpt_sp, 2, 1)
lay.addWidget(nrpt_wd, 3, 0, 1, 2)
lay.addWidget(rsx_ld, 4+0, 0, 2, 1, alignment=Qt.AlignLeft)
lay.addWidget(rsx_sp, 4+0, 1)
lay.addWidget(rsx_lb, 4+1, 1)
lay.addWidget(rsy_ld, 6+0, 0, 2, 1, alignment=Qt.AlignLeft)
lay.addWidget(rsy_sp, 6+0, 1)
lay.addWidget(rsy_lb, 6+1, 1)
lay.addWidget(ra_ld, 8+0, 0, 2, 1, alignment=Qt.AlignLeft)
lay.addWidget(ra_bt, 8+0, 1)
lay.addWidget(ra_lb, 8+1, 1, alignment=Qt.AlignLeft)
lay.addWidget(rcx_ld, 10+0, 0, 2, 1, alignment=Qt.AlignLeft)
lay.addWidget(rcx_sp, 10+0, 1)
lay.addWidget(rcx_lb, 10+1, 1)
lay.addWidget(rcy_ld, 12+0, 0, 2, 1, alignment=Qt.AlignLeft)
lay.addWidget(rcy_sp, 12+0, 1)
lay.addWidget(rcy_lb, 12+1, 1)
lay.addWidget(sts_bt, 14, 0, alignment=Qt.AlignLeft)
lay.setRowStretch(15, 5)
return gb_pos
def _get_position_widget(self, parent):
gb_posi = QGroupBox('Position [px / mm]', parent)
fl_posi = QFormLayout(gb_posi)
wid = QWidget(gb_posi)
wid.setLayout(QHBoxLayout())
xave = SiriusLabel(wid, init_channel=self._dev+':BeamCenterX-Mon')
xavemm = SiriusLabel(wid, init_channel=self._dev+':BeamCentermmX-Mon')
xave.setAlignment(Qt.AlignVCenter | Qt.AlignRight)
xavemm.setAlignment(Qt.AlignVCenter | Qt.AlignLeft)
sep = QLabel('/', wid)
sep.setStyleSheet('max-width:0.7em;')
wid.layout().addWidget(xave)
wid.layout().addWidget(sep)
wid.layout().addWidget(xavemm)
fl_posi.addRow(QLabel(
'X =', gb_posi, alignment=Qt.AlignBottom), wid)
wid = QWidget(gb_posi)
wid.setLayout(QHBoxLayout())
yave = SiriusLabel(wid, init_channel=self._dev+':BeamCenterY-Mon')
yavemm = SiriusLabel(wid, init_channel=self._dev+':BeamCentermmY-Mon')
yave.setAlignment(Qt.AlignVCenter | Qt.AlignRight)
yavemm.setAlignment(Qt.AlignVCenter | Qt.AlignLeft)
sep = QLabel('/', wid)
sep.setStyleSheet('max-width:0.7em;')
wid.layout().addWidget(yave)
wid.layout().addWidget(sep)
wid.layout().addWidget(yavemm)
fl_posi.addRow(QLabel(
'Y =', gb_posi, alignment=Qt.AlignBottom), wid)
return gb_posi
def _get_size_widget(self, parent):
gb_size = QGroupBox('Size [px / mm]', parent)
fl_size = QFormLayout(gb_size)
wid = QWidget(gb_size)
wid.setLayout(QHBoxLayout())
xave = SiriusLabel(wid, init_channel=self._dev+':BeamSizeX-Mon')
xavemm = SiriusLabel(wid, init_channel=self._dev+':BeamSizemmX-Mon')
xave.setAlignment(Qt.AlignVCenter | Qt.AlignRight)
xavemm.setAlignment(Qt.AlignVCenter | Qt.AlignLeft)
sep = QLabel('/', wid)
sep.setStyleSheet('max-width:0.7em;')
wid.layout().addWidget(xave)
wid.layout().addWidget(sep)
wid.layout().addWidget(xavemm)
fl_size.addRow(QLabel(
'X =', gb_size, alignment=Qt.AlignBottom), wid)
wid = QWidget(gb_size)
wid.setLayout(QHBoxLayout())
yave = SiriusLabel(wid, init_channel=self._dev+':BeamSizeY-Mon')
yavemm = SiriusLabel(wid, init_channel=self._dev+':BeamSizemmY-Mon')
yave.setAlignment(Qt.AlignVCenter | Qt.AlignRight)
yavemm.setAlignment(Qt.AlignVCenter | Qt.AlignLeft)
sep = QLabel('/', wid)
sep.setStyleSheet('max-width:0.7em;')
wid.layout().addWidget(yave)
wid.layout().addWidget(sep)
wid.layout().addWidget(yavemm)
fl_size.addRow(QLabel(
'Y =', gb_size, alignment=Qt.AlignBottom), wid)
return gb_size
def _update_roi(self):
xaxis = self._roixaxis.getvalue()
yaxis = self._roiyaxis.getvalue()
xproj = self._roixproj.getvalue()
yproj = self._roiyproj.getvalue()
xfit = self._roixfit.getvalue()
yfit = self._roiyfit.getvalue()
notnone = xaxis is not None
notnone &= yaxis is not None
notnone &= xproj is not None
notnone &= yproj is not None
notnone &= xfit is not None
notnone &= yfit is not None
if notnone:
samesize = xaxis.size == xproj.size
samesize &= xaxis.size == xfit.size
samesize &= yaxis.size == yproj.size
samesize &= yaxis.size == yfit.size
if samesize:
xproj = xproj/np.max(xproj) * 400 + yaxis[0]
yproj = yproj/np.max(yproj) * 400 + xaxis[0]
xfit = xfit/np.max(xfit) * 400 + yaxis[0]
yfit = yfit/np.max(yfit) * 400 + xaxis[0]
self.plt_his_x.setData(xaxis, xproj)
self.plt_his_y.setData(yproj, yaxis)
self.plt_fit_x.setData(xaxis, xfit)
self.plt_fit_y.setData(yfit, yaxis)
srtx = self._roistartx.getvalue()
srty = self._roistarty.getvalue()
endx = self._roiendx.getvalue()
endy = self._roiendy.getvalue()
if set([None, ]) - set([srtx, srty, endx, endy]):
self.plt_roi.setData(
[srtx, srtx, endx, endx, srtx],
[srty, endy, endy, srty, srty])
class HistogramItem(GraphicsWidget):
"""
This is a graphicsWidget which provides controls for adjusting the display of an image.
Includes:
- Image histogram
- Movable region over histogram to select black/white levels
Parameters
----------
image : ImageItem or None
If *image* is provided, then the control will be automatically linked to
the image and changes to the control will be immediately reflected in
the image's appearance.
fillHistogram : bool
By default, the histogram is rendered with a fill.
For performance, set *fillHistogram* = False.
"""
sigLevelsChanged = pyqtSignal(object)
sigLevelChangeFinished = pyqtSignal(object)
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 fillHistogram(self, fill=True, level=0.0, color=(100, 100, 200)):
if fill:
self.plot.setFillLevel(level)
self.plot.setBrush(color)
else:
self.plot.setFillLevel(None)
def paint(self, p, *args):
rgn = self.getLevels()
self.vb.mapFromViewToItem(self, Point(self.vb.viewRect().center().x(), rgn[0]))
self.vb.mapFromViewToItem(self, Point(self.vb.viewRect().center().x(), rgn[1]))
def setHistogramRange(self, mn, mx, padding=0.1):
"""Set the Y range on the histogram plot. This disables auto-scaling."""
self.vb.enableAutoRange(self.vb.XAxis, False)
self.vb.setYRange(mn, mx, padding)
def autoHistogramRange(self):
"""Enable auto-scaling on the histogram plot."""
self.vb.enableAutoRange(self.vb.XYAxes)
def setImageItem(self, img):
"""Set an ImageItem to have its levels and LUT automatically controlled
by this HistogramLUTItem.
"""
self.imageItem = weakref.ref(img)
img.sigImageChanged.connect(self.imageChanged)
self.regionChanged()
self.imageChanged(autoLevel=True)
def viewRangeChanged(self):
self.update()
def regionChanged(self):
if self.imageItem() is not None:
self.imageItem().setLevels(self.getLevels())
self.sigLevelChangeFinished.emit(self)
def regionChanging(self):
if self.imageItem() is not None:
self.imageItem().setLevels(self.getLevels())
self.sigLevelsChanged.emit(self)
self.update()
def imageChanged(self, autoLevel=False):
if self.imageItem() is None:
return
self.plot.setVisible(True)
# plot one histogram for all image data
h = self.imageItem().getHistogram()
if h[0] is None:
return
self.plot.setData(*h)
if autoLevel:
mn = h[0][0]
mx = h[0][-1]
self.region.setRegion([mn, mx])
else:
mn, mx = self.imageItem().levels
self.region.setRegion([mn, mx])
def getLevels(self):
"""
Return the min and max levels.
"""
return self.region.getRegion()
def setLevels(self, min=None, max=None):
"""
Set the min/max (bright and dark) levels.
"""
assert None not in (min, max)
self.region.setRegion((min, max))
def _showRegions(self):
self.region.setVisible(True)
def saveState(self):
return {
'levels': self.getLevels(),
}
def restoreState(self, state):
self.setLevels(*state['levels'])
class Plot(PlotWidget):
""" Sublcass of PyQtGraph.PlotWidget to display cycling data.
Parameters
----------
parent : QMainWindow
Main window.
"""
currentPointChanged = Signal(dict)
""" **signal** currentPointChanged(dict `values`)
Emitted when a point in the plot is hovered over. The dict provides
the date, speed, distance, calories and time data for the chosen point.
"""
pointSelected = Signal(object)
""" **signal** pointSelected(datetime `currentPoint`)
Emitted when the plot is double clicked, with the date from the
current point.
"""
def __init__(self, parent, style="dark"):
self._ySeries = None
self.plotItem = None
self.style = PlotStyle(style)
self.setStyle(style)
self.dateAxis = CustomDateAxisItem()
self.plotItem = CustomPlotItem(viewBox=CustomViewBox(),
axisItems={
'bottom': self.dateAxis,
'left': CustomAxisItem('left')
})
super().__init__(plotItem=self.plotItem)
self.dateAxis.axisDoubleClicked.connect(self.setPlotRange)
self.hgltPnt = None
self.parent = parent
self.plottable = ['speed', 'distance', 'time', 'calories']
self._initRightAxis()
# axis labels
self.plotItem.setLabel('bottom', text='Date')
# show grid on left and bottom axes
self.plotItem.getAxis('left').setGrid(255)
self.plotItem.getAxis('bottom').setGrid(255)
# cross hairs
self.vLine = InfiniteLine(angle=90, movable=False)
self.hLine = InfiniteLine(angle=0, movable=False)
self.plotItem.addItem(self.vLine, ignoreBounds=True)
self.plotItem.addItem(self.hLine, ignoreBounds=True)
self.plotItem.scene().sigMouseMoved.connect(self.mouseMoved)
self.plotItem.scene().sigMouseClicked.connect(self.plotClicked)
# update second view box
self.updateViews()
self.plotItem.vb.sigResized.connect(self.updateViews)
self.currentPoint = {}
# all points that are/were PBs can be highlighted
self._showPBs = False
self._regenerateCachedPBs = {key: False for key in self.plottable}
self.hgltPBs = {key: [] for key in self.plottable}
self.viewMonths = None
self.setYSeries('speed')
self.plotTotalDistance()
@property
def data(self):
return self.parent.data
def _initRightAxis(self):
self.vb2 = CustomViewBox()
self.plotItem.showAxis('right')
self.plotItem.scene().addItem(self.vb2)
self.plotItem.getAxis('right').linkToView(self.vb2)
self.vb2.setXLink(self.plotItem)
@property
def viewBoxes(self):
""" Return list of all viexBoxes in the plot. """
vbx = [self.plotItem.vb]
if hasattr(self, 'vb2'):
vbx.append(self.vb2)
return vbx
@Slot()
def updateViews(self):
## Copied from PyQtGraph MultiplePlotAxes.py example ##
# view has resized; update auxiliary views to match
self.vb2.setGeometry(self.plotItem.vb.sceneBoundingRect())
# need to re-update linked axes since this was called
# incorrectly while views had different shapes.
# (probably this should be handled in ViewBox.resizeEvent)
self.vb2.linkedViewChanged(self.plotItem.vb, self.vb2.XAxis)
def getState(self):
state = {}
state['ySeries'] = self.ySeries
for n, vb in enumerate(self.viewBoxes):
key = f"vb{n}State"
state[key] = vb.getState()
if self.currentPoint:
state['currentPoint'] = self.currentPoint['index']
return state
def setState(self, state):
self.ySeries = state['ySeries']
for n, vb in enumerate(self.viewBoxes):
key = f"vb{n}State"
vb.setState(state[key])
if len(self.viewBoxes) > 1:
self.viewBoxes[1].setXLink(self.plotItem)
if 'currentPoint' in state:
self.setCurrentPoint(state['currentPoint'])
def setStyle(self, style):
self.style.name = style
dct = {
'foreground': self.style.foreground,
'background': self.style.background
}
setConfigOptions(**dct)
if self.plotItem is not None:
self.plotItem.setButtonPixmaps()
if self.ySeries is not None:
self.updatePlots()
@Slot()
def viewAll(self):
# enableAutoRange on both viewBoxes
for vb in self.viewBoxes:
vb.enableAutoRange()
if self._showPBs:
self._highlightPBs(self._showPBs)
@Slot()
def resetMonthRange(self):
if self.viewMonths is not None:
self.setXAxisRange(self.viewMonths)
if self._showPBs:
self._highlightPBs(self._showPBs)
@Slot(float, float)
def setPlotRange(self, x0, x1):
""" Set range of both view boxes to cover the points between the two
given timestamps.
"""
# apply to both the current scatter and background plot
if not hasattr(self, 'dataItem') or not hasattr(
self, 'backgroundItem'):
return None
xRange0, xRange1 = self.viewBoxes[0].xRange
data = [(self.dataItem.scatter.data['x'],
self.dataItem.scatter.data['y'], self.viewBoxes[0]),
(self.backgroundItem.xData, self.backgroundItem.yData,
self.viewBoxes[1])]
for xPoints, yData, viewBox in data:
# find x-coords of points in the given month
mask = np.in1d(
np.where(xPoints >= x0)[0],
np.where(xPoints <= x1)[0])
if np.any(mask):
# select the corresponding y data
idx = np.where(xPoints >= x0)[0][mask]
yPoints = yData[idx]
# get min and max
y0 = np.min(yPoints)
y1 = np.max(yPoints)
# set min and max for x and y in the viewBox
viewBox.setRange(xRange=(x0, x1), yRange=(y0, y1))
@Slot(object, bool)
def setXAxisRange(self, months, fromRecentSession=True):
""" Scale the plot to show the most recent `months` months.
If `fromRecentSession` is True (default), the month range is calculated
relative to the most recent session in the `CycleData` object.
Otherwise, it is calculated from the current date.
These two options are equivalent if there are sessions from the current
month in the `CycleData` object.
"""
self.viewMonths = months
if fromRecentSession:
ts1 = self.data.dateTimestamps[-1]
else:
now = datetime.now()
ts1 = now.timestamp()
if months is not None and now.month != self.data.datetimes[
-1].month:
months -= now.month - self.data.datetimes[-1].month
if months is None:
ts0 = self.data.dateTimestamps[0]
else:
days = self.viewMonths * 365 / 12 # number of days to go back
td = timedelta(days=days)
ts0 = (datetime.fromtimestamp(ts1) - td).timestamp()
self.setPlotRange(ts0, ts1)
@Slot()
def updatePlots(self):
self.plotSeries(self.ySeries, mode='set')
self.plotTotalDistance(mode='set')
self.resetMonthRange()
self._regenerateCachedPBs = {
key: True
for key in self._regenerateCachedPBs
}
@property
def ySeries(self):
return self._ySeries
@ySeries.setter
def ySeries(self, key):
self._ySeries = key
self.plotSeries(self.ySeries)
def setYSeries(self, key):
self.ySeries = key
def plotSeries(self, key, mode='new'):
""" Plot given series on y1 axis. """
label = self.data.quickNames[key]
if key == 'time':
series = self.data.timeHours
self.plotItem.getAxis('left').tickFormatter = floatToHourMinSec
else:
series = self.data[label]
self.plotItem.getAxis('left').tickFormatter = None
styleDict = self.style[key]
style = self._makeScatterStyle(**styleDict)
if mode == 'new':
self.dataItem = self.plotItem.scatterPlot(self.data.dateTimestamps,
series, **style)
elif mode == 'set':
self.dataItem.setData(self.data.dateTimestamps, series, **style)
self.plotItem.setLabel('left', text=label, color=styleDict['colour'])
if self.viewBoxes[0].xRange is not None:
self.setPlotRange(*self.viewBoxes[0].xRange)
if self._showPBs:
self._highlightPBs(self._showPBs)
def plotTotalDistance(self, mode='new'):
""" Plot monthly total distance. """
colour = self.style['odometer']['colour']
style = self._makeFillStyle(colour)
dts, odo = self.data.getMonthlyOdometer()
dts = [dt.timestamp() for dt in dts]
if mode == 'new':
self.backgroundItem = PlotCurveItem(dts, odo, **style)
self.vb2.addItem(self.backgroundItem)
elif mode == 'set':
self.backgroundItem.setData(dts, odo, **style)
self.plotItem.getAxis('right').setLabel('Total monthly distance',
color=colour)
@Slot(str)
def switchSeries(self, key):
if key in self.plottable and key in self.data.quickNames.keys():
self.plotItem.removeItem(self.dataItem)
self.plotSeries(key)
@Slot(object)
def plotClicked(self, event):
""" If the plot is clicked, emit `pointSelected` signal with
`currentPoint` datetime.
"""
# get x and y bounds
yMin = 0 # no top axis
yMax = self.plotItem.getAxis('bottom').scenePos().y()
# left axis position is 1,1 (don't know why), so use the bottom axis x here
xMin = self.plotItem.getAxis('bottom').scenePos().x()
xMax = self.plotItem.getAxis('right').scenePos().x()
pos = event.scenePos()
if xMin <= pos.x() <= xMax and yMin <= pos.y(
) <= yMax: # event.double() and
idx = self.currentPoint['index']
date = self.data.datetimes[idx]
self.pointSelected.emit(date)
@staticmethod
def _makeScatterStyle(colour, symbol):
""" Make style for series with no line but with symbols. """
pen = mkPen(colour)
brush = mkBrush(colour)
d = {'symbol': symbol, 'symbolPen': pen, 'symbolBrush': brush}
return d
@staticmethod
def _makeFillStyle(colour):
""" Make style for PlotCurveItem with fill underneath. """
pen = mkPen(colour)
brush = mkBrush(colour)
d = {'pen': pen, 'brush': brush, 'fillLevel': 0}
return d
@property
def currentPoint(self):
return self._point
@currentPoint.setter
def currentPoint(self, value):
self._point = value
def setCurrentPoint(self, idx):
""" Set the `currentPoint` dict from index `idx` in the `data` DataFrame
and emit `currentPointChanged` signal.
"""
self.currentPoint['index'] = idx
self.currentPoint['date'] = self.data.datetimes[idx].strftime(
"%a %d %b %Y")
self.currentPoint['speed'] = self.data.avgSpeed[idx]
self.currentPoint['distance'] = self.data.distance[idx]
self.currentPoint['calories'] = self.data.calories[idx]
self.currentPoint['time'] = self.data.time[idx]
self.currentPointChanged.emit(self.currentPoint)
@Slot(object)
def setCurrentPointFromDate(self, date):
""" Find point at the given date and highlight it. """
dt = datetime(date.year, date.month, date.day)
idx = self.data.datetimes.index(dt)
pt = self.dataItem.scatter.points()[idx]
self.ensurePointVisible(pt)
self._highlightPoint(pt)
self.setCurrentPoint(idx)
def ensurePointVisible(self, pt):
ts = pt.pos().x()
x0, x1 = self.viewBoxes[0].xRange
if ts < x0:
x0 = ts - 1e6
elif ts > x1:
x1 = ts + 1e6
self.setPlotRange(x0, x1)
@Slot(object)
def _highlightPoint(self, point=None):
""" Change pen and brush of given point (and reset any previously
highlighted points).
"""
if point is None:
if self.hgltPnt is not None:
point = self.hgltPnt
else:
return None
try:
# if other points are already highlighted, remove highlighting
self.hgltPnt.resetPen()
self.hgltPnt.resetBrush()
except (AttributeError, RuntimeError):
pass
colour = self.style['highlightPoint']['colour']
pen = mkPen(colour)
brush = mkBrush(colour)
self.hgltPnt = point
self.hgltPnt.setPen(pen)
self.hgltPnt.setBrush(brush)
@Slot(bool)
def _highlightPBs(self, show):
""" Highlight points that are, or were, PBs. """
if show:
self._showPBs = True
if self._regenerateCachedPBs[self.ySeries] or len(
self.hgltPBs[self.ySeries]) == 0:
self.hgltPBs[self.ySeries] = self._getPBs()
self._regenerateCachedPBs[self.ySeries] = False
for idx in self.hgltPBs[self.ySeries]:
pt = self.dataItem.scatter.points()[idx]
colour = self.style['highlightPoint']['colour']
pen = mkPen(colour)
brush = mkBrush(colour)
pt.setPen(pen)
pt.setBrush(brush)
else:
self._showPBs = False
for idx in self.hgltPBs[self.ySeries]:
pt = self.dataItem.scatter.points()[idx]
pt.resetPen()
pt.resetBrush()
def _getPBs(self):
""" Return array of points that represent(ed) a PB in the current series. """
# get number of top sessions and current y series
col = self.data.quickNames[self.ySeries]
num = self.parent.settings.value("pb/numSessions", cast=int)
series = self.data[col]
minBest = min(series[:num]) # minimum value to beat to be a PB
idx = list(range(num)) # first num values will be PBs
for n in range(num, len(series)):
if series[n] >= minBest:
idx.append(n)
minBest = series[n]
return idx
@Slot(object)
def mouseMoved(self, pos):
if self.plotItem.sceneBoundingRect().contains(pos):
mousePoint = self.plotItem.vb.mapSceneToView(pos)
idx = int(mousePoint.x())
if idx > min(self.data.dateTimestamps) and idx < max(
self.data.dateTimestamps):
self._makePointDict(idx)
pts = self.scatterPointsAtX(mousePoint, self.dataItem.scatter)
if len(pts) != 0:
# could be multiple points at same x, so get closest point to mouse by y value
yVals = np.array([pt.pos().y() for pt in pts])
idx = (np.abs(yVals - mousePoint.y())).argmin()
self._highlightPoint(pts[idx])
self.vLine.setPos(mousePoint.x())
self.hLine.setPos(mousePoint.y())
def _makePointDict(self, ts):
# given timestamp in seconds, find nearest date and speed
idx = (np.abs(self.data.dateTimestamps - ts)).argmin()
self.setCurrentPoint(idx)
@staticmethod
def scatterPointsAtX(pos, scatter):
""" Return a list of points on `scatter` under the x-coordinate of the
given position `pos`, ignoring the y-coord.
"""
# Tried to subclass ScatterPlotItem and add this method there, but it
# messed up the DateAxis
x = pos.x()
pw = scatter.pixelWidth()
pts = []
for s in scatter.points():
sp = s.pos()
ss = s.size()
sx = sp.x()
s2x = ss * 0.5
if scatter.opts['pxMode']:
s2x *= pw
if x > sx - s2x and x < sx + s2x:
pts.append(s)
return pts[::-1]