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.getView())
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
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.getView())
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
def __init__(self,
parent=None,
border=None,
lockAspect=False,
enableMouse=True,
invertY=False,
enableMenu=True,
name=None,
invertX=False):
#pg.ViewBox.__init__(self, border, lockAspect, enableMouse,
#invertY, enableMenu, name, invertX)
super(ViewBox, self).__init__()
self.border = fn.mkPen(border)
if enableMenu:
self.menu = ViewBoxMenu(self)
self.name = name
self.parent = parent
if self.name == "plot2":
self.setXLink(parent.p1)
self.setYLink(parent.p1)
# set state
self.state['enableMenu'] = enableMenu
self.state['yInverted'] = invertY
class PyDMImageView(ImageView, PyDMWidget, PyDMColorMap, ReadingOrder):
"""
A PyQtGraph ImageView 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.
width_channel : str, optional
The channel to be used by the widget to receive the image width
information
"""
ReadingOrder = ReadingOrder
Q_ENUMS(ReadingOrder)
Q_ENUMS(PyDMColorMap)
color_maps = cmaps
def __init__(self, parent=None, image_channel=None, width_channel=None):
"""Initialize widget."""
ImageView.__init__(self, parent)
PyDMWidget.__init__(self)
self.thread = None
self.axes = dict({'t': None, "x": 0, "y": 1, "c": None})
self._imagechannel = image_channel
self._widthchannel = width_channel
self.image_waveform = np.zeros(0)
self._image_width = 0
self._normalize_data = False
self._auto_downsample = True
# Hide some itens of the widget.
self.ui.histogram.hide()
self.getImageItem().sigImageChanged.disconnect(
self.ui.histogram.imageChanged)
self.ui.roiBtn.hide()
self.ui.menuBtn.hide()
# Set color map limits.
self.cm_min = 0.0
self.cm_max = 255.0
# Set default reading order of numpy array data to Fortranlike.
self._reading_order = ReadingOrder.Fortranlike
# 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._colormap = PyDMColorMap.Inferno
self._cm_colors = None
self.colorMap = self._colormap
# 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.getImageItem().sigImageChanged
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.getView())
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
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]
@pyqtProperty(float)
def colorMapMin(self):
"""
Minimum value for the colormap.
Returns
-------
float
"""
return self.cm_min
@colorMapMin.setter
@pyqtSlot(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
@pyqtProperty(float)
def colorMapMax(self):
"""
Maximum value for the colormap.
Returns
-------
float
"""
return self.cm_max
@colorMapMax.setter
@pyqtSlot(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
@pyqtProperty(PyDMColorMap)
def colorMap(self):
"""
Return the color map used by the ImageView.
Returns
-------
PyDMColorMap
"""
return self._colormap
@colorMap.setter
def colorMap(self, new_cmap):
"""
Set the color map used by the ImageView.
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.getView().setBackgroundColor(cmap.map(0))
lut = cmap.getLookupTable(0.0, 1.0, alpha=False)
self.getImageItem().setLookupTable(lut)
@pyqtSlot(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()
@pyqtSlot(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("ImageView Received New Image - Needs Redraw -> True")
self.image_waveform = new_image
self.needs_redraw = True
@pyqtSlot(int)
def image_width_changed(self, new_width):
"""
Callback invoked when the Image Width Channel value is changed.
Parameters
----------
new_width : int
The new image width
"""
if new_width is None:
return
self._image_width = int(new_width)
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 = ImageUpdateThread(self)
self.thread.updateSignal.connect(self.__updateDisplay)
logging.debug("ImageView RedrawImage Thread Launched")
self.thread.start()
@pyqtSlot(list)
def __updateDisplay(self, data):
logging.debug("ImageView Update Display with new image")
mini, maxi = data[0], data[1]
img = data[2]
self.getImageItem().setLevels([mini, maxi])
self.getImageItem().setImage(img,
autoLevels=False,
autoDownsample=self.autoDownsample)
@pyqtProperty(bool)
def autoDownsample(self):
"""
Return if we should or not apply the
autoDownsample option to PyQtGraph.
Return
------
bool
"""
return self._auto_downsample
@autoDownsample.setter
def autoDownsample(self, new_value):
"""
Whether we should or not apply the
autoDownsample option to PyQtGraph.
Parameters
----------
new_value: bool
"""
if new_value != self._auto_downsample:
self._auto_downsample = new_value
@pyqtProperty(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:`widthChannel`.
Parameters
----------
new_width: int
"""
if (self._image_width != int(new_width)
and (self._widthchannel is None or self._widthchannel == '')):
self._image_width = int(new_width)
@pyqtProperty(bool)
def normalizeData(self):
"""
Return True if the colors are relative to data maximum and minimum.
Returns
-------
bool
"""
return self._normalize_data
@normalizeData.setter
@pyqtSlot(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
@pyqtProperty(ReadingOrder)
def readingOrder(self):
"""
Return the reading order of the :attr:`imageChannel` array.
Returns
-------
ReadingOrder
"""
return self._reading_order
@readingOrder.setter
def readingOrder(self, new_order):
"""
Set reading order of the :attr:`imageChannel` array.
Parameters
----------
new_order: ReadingOrder
"""
if self._reading_order != new_order:
self._reading_order = new_order
def keyPressEvent(self, ev):
"""Handle keypress events."""
return
@pyqtProperty(str)
def imageChannel(self):
"""
The channel address in use for the image data .
Returns
-------
str
Channel address
"""
return str(self._imagechannel)
@imageChannel.setter
def imageChannel(self, value):
"""
The channel address in use for the image data .
Parameters
----------
value : str
Channel address
"""
if self._imagechannel != value:
self._imagechannel = str(value)
@pyqtProperty(str)
def widthChannel(self):
"""
The channel address in use for the image width .
Returns
-------
str
Channel address
"""
return str(self._widthchannel)
@widthChannel.setter
def widthChannel(self, value):
"""
The channel address in use for the image width .
Parameters
----------
value : str
Channel address
"""
if self._widthchannel != value:
self._widthchannel = str(value)
def channels(self):
"""
Return the channels being used for this Widget.
Returns
-------
channels : list
List of PyDMChannel objects
"""
if self._channels is None:
self._channels = [
PyDMChannel(
address=self.imageChannel,
connection_slot=self.image_connection_state_changed,
value_slot=self.image_value_changed,
severity_slot=self.alarmSeverityChanged),
PyDMChannel(address=self.widthChannel,
connection_slot=self.connectionStateChanged,
value_slot=self.image_width_changed,
severity_slot=self.alarmSeverityChanged)
]
return self._channels
def channels_for_tools(self):
"""Return channels for tools."""
return [c for c in self.channels() if c.address == self.imageChannel]
@pyqtProperty(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))
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 PyDMImageView(ImageView, PyDMWidget, PyDMColorMap, ReadingOrder):
"""
A PyQtGraph ImageView 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.
width_channel : str, optional
The channel to be used by the widget to receive the image width
information
"""
ReadingOrder = ReadingOrder
Q_ENUMS(ReadingOrder)
Q_ENUMS(PyDMColorMap)
color_maps = cmaps
def __init__(self, parent=None, image_channel=None, width_channel=None):
"""Initialize widget."""
ImageView.__init__(self, parent)
PyDMWidget.__init__(self)
self._channels = [None, None]
self.thread = None
self.axes = dict({'t': None, "x": 0, "y": 1, "c": None})
self._imagechannel = None
self._widthchannel = None
self.image_waveform = np.zeros(0)
self._image_width = 0
self._normalize_data = False
self._auto_downsample = True
# Hide some itens of the widget.
self.ui.histogram.hide()
self.getImageItem().sigImageChanged.disconnect(
self.ui.histogram.imageChanged)
self.ui.roiBtn.hide()
self.ui.menuBtn.hide()
# Set color map limits.
self.cm_min = 0.0
self.cm_max = 255.0
# Set default reading order of numpy array data to Fortranlike.
self._reading_order = ReadingOrder.Fortranlike
# 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._colormap = PyDMColorMap.Inferno
self._cm_colors = None
self.colorMap = self._colormap
# 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.getImageItem().sigImageChanged
# Set live channels if requested on initialization
if image_channel:
self.imageChannel = image_channel or ''
if width_channel:
self.widthChannel = width_channel or ''
@Property(str, designable=False)
def channel(self):
return
@channel.setter
def channel(self, ch):
logger.info("Use the imageChannel property with the ImageView widget.")
return
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.getView())
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
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 ImageView.
Returns
-------
PyDMColorMap
"""
return self._colormap
@colorMap.setter
def colorMap(self, new_cmap):
"""
Set the color map used by the ImageView.
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.getView().setBackgroundColor(cmap.map(0))
lut = cmap.getLookupTable(0.0, 1.0, alpha=False)
self.getImageItem().setLookupTable(lut)
@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(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("ImageView Received New Image - Needs Redraw -> True")
self.image_waveform = new_image
self.needs_redraw = True
@Slot(int)
def image_width_changed(self, new_width):
"""
Callback invoked when the Image Width Channel value is changed.
Parameters
----------
new_width : int
The new image width
"""
if new_width is None:
return
self._image_width = int(new_width)
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 = ImageUpdateThread(self)
self.thread.updateSignal.connect(self.__updateDisplay)
logging.debug("ImageView RedrawImage Thread Launched")
self.thread.start()
@Slot(list)
def __updateDisplay(self, data):
logging.debug("ImageView Update Display with new image")
mini, maxi = data[0], data[1]
img = data[2]
self.getImageItem().setLevels([mini, maxi])
self.getImageItem().setImage(
img,
autoLevels=False,
autoDownsample=self.autoDownsample)
@Property(bool)
def autoDownsample(self):
"""
Return if we should or not apply the
autoDownsample option to PyQtGraph.
Return
------
bool
"""
return self._auto_downsample
@autoDownsample.setter
def autoDownsample(self, new_value):
"""
Whether we should or not apply the
autoDownsample option to PyQtGraph.
Parameters
----------
new_value: bool
"""
if new_value != self._auto_downsample:
self._auto_downsample = 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:`widthChannel`.
Parameters
----------
new_width: int
"""
if (self._image_width != int(new_width) and
(self._widthchannel is None or self._widthchannel == '')):
self._image_width = int(new_width)
@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, new_order):
"""
Set reading order of the :attr:`imageChannel` array.
Parameters
----------
new_order: ReadingOrder
"""
if self._reading_order != new_order:
self._reading_order = new_order
def keyPressEvent(self, ev):
"""Handle keypress events."""
return
@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 widthChannel(self):
"""
The channel address in use for the image width .
Returns
-------
str
Channel address
"""
if self._widthchannel:
return str(self._widthchannel.address)
else:
return ''
@widthChannel.setter
def widthChannel(self, value):
"""
The channel address in use for the image width .
Parameters
----------
value : str
Channel address
"""
if self._widthchannel != value:
# Disconnect old channel
if self._widthchannel:
self._widthchannel.disconnect()
# Create and connect new channel
self._widthchannel = PyDMChannel(
address=value,
connection_slot=self.connectionStateChanged,
value_slot=self.image_width_changed,
severity_slot=self.alarmSeverityChanged)
self._channels[1] = self._widthchannel
self._widthchannel.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]
@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))
