# coding: utf-8 # /*########################################################################## # # Copyright (c) 2015-2017 European Synchrotron Radiation Facility # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # # ###########################################################################*/ """QWidget displaying a 2D image with histograms on its sides. The :class:`ImageView` implements this widget, and :class:`ImageViewMainWindow` provides a main window with additional toolbar and status bar. Basic usage of :class:`ImageView` is through the following methods: - :meth:`ImageView.getColormap`, :meth:`ImageView.setColormap` to update the default colormap to use and update the currently displayed image. - :meth:`ImageView.setImage` to update the displayed image. For an example of use, see `imageview.py` in :ref:`sample-code`. """ from __future__ import division __authors__ = ["T. Vincent"] __license__ = "MIT" __date__ = "17/08/2017" import logging import numpy from .. import qt from . import items, PlotWindow, PlotWidget, actions from .Colormap import Colormap from .Colors import cursorColorForColormap from .PlotTools import LimitsToolBar from .Profile import ProfileToolBar _logger = logging.getLogger(__name__) # RadarView ################################################################### class RadarView(qt.QGraphicsView): """Widget presenting a synthetic view of a 2D area and the current visible area. Coordinates are as in QGraphicsView: x goes from left to right and y goes from top to bottom. This widget preserves the aspect ratio of the areas. The 2D area and the visible area can be set with :meth:`setDataRect` and :meth:`setVisibleRect`. When the visible area has been dragged by the user, its new position is signaled by the *visibleRectDragged* signal. It is possible to invert the direction of the axes by using the :meth:`scale` method of QGraphicsView. """ visibleRectDragged = qt.Signal(float, float, float, float) """Signals that the visible rectangle has been dragged. It provides: left, top, width, height in data coordinates. """ _DATA_PEN = qt.QPen(qt.QColor('white')) _DATA_BRUSH = qt.QBrush(qt.QColor('light gray')) _VISIBLE_PEN = qt.QPen(qt.QColor('red')) _VISIBLE_PEN.setWidth(2) _VISIBLE_PEN.setCosmetic(True) _VISIBLE_BRUSH = qt.QBrush(qt.QColor(0, 0, 0, 0)) _TOOLTIP = 'Radar View:\nRed contour: Visible area\nGray area: The image' _PIXMAP_SIZE = 256 class _DraggableRectItem(qt.QGraphicsRectItem): """RectItem which signals its change through visibleRectDragged.""" def __init__(self, *args, **kwargs): super(RadarView._DraggableRectItem, self).__init__( *args, **kwargs) self._previousCursor = None self.setFlag(qt.QGraphicsItem.ItemIsMovable) self.setFlag(qt.QGraphicsItem.ItemSendsGeometryChanges) self.setAcceptHoverEvents(True) self._ignoreChange = False self._constraint = 0, 0, 0, 0 def setConstraintRect(self, left, top, width, height): """Set the constraint rectangle for dragging. The coordinates are in the _DraggableRectItem coordinate system. This constraint only applies to modification through interaction (i.e., this constraint is not applied to change through API). If the _DraggableRectItem is smaller than the constraint rectangle, the _DraggableRectItem remains within the constraint rectangle. If the _DraggableRectItem is wider than the constraint rectangle, the constraint rectangle remains within the _DraggableRectItem. """ self._constraint = left, left + width, top, top + height def setPos(self, *args, **kwargs): """Overridden to ignore changes from API in itemChange.""" self._ignoreChange = True super(RadarView._DraggableRectItem, self).setPos(*args, **kwargs) self._ignoreChange = False def moveBy(self, *args, **kwargs): """Overridden to ignore changes from API in itemChange.""" self._ignoreChange = True super(RadarView._DraggableRectItem, self).moveBy(*args, **kwargs) self._ignoreChange = False def itemChange(self, change, value): """Callback called before applying changes to the item.""" if (change == qt.QGraphicsItem.ItemPositionChange and not self._ignoreChange): # Makes sure that the visible area is in the data # or that data is in the visible area if area is too wide x, y = value.x(), value.y() xMin, xMax, yMin, yMax = self._constraint if self.rect().width() <= (xMax - xMin): if x < xMin: value.setX(xMin) elif x > xMax - self.rect().width(): value.setX(xMax - self.rect().width()) else: if x > xMin: value.setX(xMin) elif x < xMax - self.rect().width(): value.setX(xMax - self.rect().width()) if self.rect().height() <= (yMax - yMin): if y < yMin: value.setY(yMin) elif y > yMax - self.rect().height(): value.setY(yMax - self.rect().height()) else: if y > yMin: value.setY(yMin) elif y < yMax - self.rect().height(): value.setY(yMax - self.rect().height()) if self.pos() != value: # Notify change through signal views = self.scene().views() assert len(views) == 1 views[0].visibleRectDragged.emit( value.x() + self.rect().left(), value.y() + self.rect().top(), self.rect().width(), self.rect().height()) return value return super(RadarView._DraggableRectItem, self).itemChange( change, value) def hoverEnterEvent(self, event): """Called when the mouse enters the rectangle area""" self._previousCursor = self.cursor() self.setCursor(qt.Qt.OpenHandCursor) def hoverLeaveEvent(self, event): """Called when the mouse leaves the rectangle area""" if self._previousCursor is not None: self.setCursor(self._previousCursor) self._previousCursor = None def __init__(self, parent=None): self._scene = qt.QGraphicsScene() self._dataRect = self._scene.addRect(0, 0, 1, 1, self._DATA_PEN, self._DATA_BRUSH) self._visibleRect = self._DraggableRectItem(0, 0, 1, 1) self._visibleRect.setPen(self._VISIBLE_PEN) self._visibleRect.setBrush(self._VISIBLE_BRUSH) self._scene.addItem(self._visibleRect) super(RadarView, self).__init__(self._scene, parent) self.setHorizontalScrollBarPolicy(qt.Qt.ScrollBarAlwaysOff) self.setVerticalScrollBarPolicy(qt.Qt.ScrollBarAlwaysOff) self.setFocusPolicy(qt.Qt.NoFocus) self.setStyleSheet('border: 0px') self.setToolTip(self._TOOLTIP) def sizeHint(self): # """Overridden to avoid sizeHint to depend on content size.""" return self.minimumSizeHint() def wheelEvent(self, event): # """Overridden to disable vertical scrolling with wheel.""" event.ignore() def resizeEvent(self, event): # """Overridden to fit current content to new size.""" self.fitInView(self._scene.itemsBoundingRect(), qt.Qt.KeepAspectRatio) super(RadarView, self).resizeEvent(event) def setDataRect(self, left, top, width, height): """Set the bounds of the data rectangular area. This sets the coordinate system. """ self._dataRect.setRect(left, top, width, height) self._visibleRect.setConstraintRect(left, top, width, height) self.fitInView(self._scene.itemsBoundingRect(), qt.Qt.KeepAspectRatio) def setVisibleRect(self, left, top, width, height): """Set the visible rectangular area. The coordinates are relative to the data rect. """ self._visibleRect.setRect(0, 0, width, height) self._visibleRect.setPos(left, top) self.fitInView(self._scene.itemsBoundingRect(), qt.Qt.KeepAspectRatio) # ImageView ################################################################### class ImageView(PlotWindow): """Display a single image with horizontal and vertical histograms. Use :meth:`setImage` to control the displayed image. This class also provides the :class:`silx.gui.plot.Plot` API. The :class:`ImageView` inherits from :class:`.PlotWindow` (which provides the toolbars) and also exposes :class:`.PlotWidget` API for further plot control (plot title, axes labels, aspect ratio, ...). :param parent: The parent of this widget or None. :param backend: The backend to use for the plot (default: matplotlib). See :class:`.PlotWidget` for the list of supported backend. :type backend: str or :class:`BackendBase.BackendBase` """ HISTOGRAMS_COLOR = 'blue' """Color to use for the side histograms.""" HISTOGRAMS_HEIGHT = 200 """Height in pixels of the side histograms.""" IMAGE_MIN_SIZE = 200 """Minimum size in pixels of the image area.""" # Qt signals valueChanged = qt.Signal(float, float, float) """Signals that the data value under the cursor has changed. It provides: row, column, data value. When the cursor is over an histogram, either row or column is Nan and the provided data value is the histogram value (i.e., the sum along the corresponding row/column). Row and columns are either Nan or integer values. """ def __init__(self, parent=None, backend=None): self._imageLegend = '__ImageView__image' + str(id(self)) self._cache = None # Store currently visible data information self._updatingLimits = False super(ImageView, self).__init__(parent=parent, backend=backend, resetzoom=True, autoScale=False, logScale=False, grid=False, curveStyle=False, colormap=True, aspectRatio=True, yInverted=True, copy=True, save=True, print_=True, control=False, position=False, roi=False, mask=True) if parent is None: self.setWindowTitle('ImageView') self._initWidgets(backend) self.profile = ProfileToolBar(plot=self) """"Profile tools attached to this plot. See :class:`silx.gui.plot.PlotTools.ProfileToolBar` """ self.addToolBar(self.profile) # Sync PlotBackend and ImageView self._updateYAxisInverted() def _initWidgets(self, backend): """Set-up layout and plots.""" self._histoHPlot = PlotWidget(backend=backend) self._histoHPlot.getWidgetHandle().setMinimumHeight( self.HISTOGRAMS_HEIGHT) self._histoHPlot.getWidgetHandle().setMaximumHeight( self.HISTOGRAMS_HEIGHT) self._histoHPlot.setInteractiveMode('zoom') self._histoHPlot.sigPlotSignal.connect(self._histoHPlotCB) self.setPanWithArrowKeys(True) self.setInteractiveMode('zoom') # Color set in setColormap self.sigPlotSignal.connect(self._imagePlotCB) self.getYAxis().sigInvertedChanged.connect(self._updateYAxisInverted) self.sigActiveImageChanged.connect(self._activeImageChangedSlot) self._histoVPlot = PlotWidget(backend=backend) self._histoVPlot.getWidgetHandle().setMinimumWidth( self.HISTOGRAMS_HEIGHT) self._histoVPlot.getWidgetHandle().setMaximumWidth( self.HISTOGRAMS_HEIGHT) self._histoVPlot.setInteractiveMode('zoom') self._histoVPlot.sigPlotSignal.connect(self._histoVPlotCB) self._radarView = RadarView() self._radarView.visibleRectDragged.connect(self._radarViewCB) layout = qt.QGridLayout() layout.addWidget(self.getWidgetHandle(), 0, 0) layout.addWidget(self._histoVPlot.getWidgetHandle(), 0, 1) layout.addWidget(self._histoHPlot.getWidgetHandle(), 1, 0) layout.addWidget(self._radarView, 1, 1) layout.setColumnMinimumWidth(0, self.IMAGE_MIN_SIZE) layout.setColumnStretch(0, 1) layout.setColumnMinimumWidth(1, self.HISTOGRAMS_HEIGHT) layout.setColumnStretch(1, 0) layout.setRowMinimumHeight(0, self.IMAGE_MIN_SIZE) layout.setRowStretch(0, 1) layout.setRowMinimumHeight(1, self.HISTOGRAMS_HEIGHT) layout.setRowStretch(1, 0) layout.setSpacing(0) layout.setContentsMargins(0, 0, 0, 0) centralWidget = qt.QWidget() centralWidget.setLayout(layout) self.setCentralWidget(centralWidget) def _dirtyCache(self): self._cache = None def _updateHistograms(self): """Update histograms content using current active image.""" activeImage = self.getActiveImage() if activeImage is not None: wasUpdatingLimits = self._updatingLimits self._updatingLimits = True data = activeImage.getData(copy=False) origin = activeImage.getOrigin() scale = activeImage.getScale() height, width = data.shape xMin, xMax = self.getXAxis().getLimits() yMin, yMax = self.getYAxis().getLimits() # Convert plot area limits to image coordinates # and work in image coordinates (i.e., in pixels) xMin = int((xMin - origin[0]) / scale[0]) xMax = int((xMax - origin[0]) / scale[0]) yMin = int((yMin - origin[1]) / scale[1]) yMax = int((yMax - origin[1]) / scale[1]) if (xMin < width and xMax >= 0 and yMin < height and yMax >= 0): # The image is at least partly in the plot area # Get the visible bounds in image coords (i.e., in pixels) subsetXMin = 0 if xMin < 0 else xMin subsetXMax = (width if xMax >= width else xMax) + 1 subsetYMin = 0 if yMin < 0 else yMin subsetYMax = (height if yMax >= height else yMax) + 1 if (self._cache is None or subsetXMin != self._cache['dataXMin'] or subsetXMax != self._cache['dataXMax'] or subsetYMin != self._cache['dataYMin'] or subsetYMax != self._cache['dataYMax']): # The visible area of data has changed, update histograms # Rebuild histograms for visible area visibleData = data[subsetYMin:subsetYMax, subsetXMin:subsetXMax] histoHVisibleData = numpy.sum(visibleData, axis=0) histoVVisibleData = numpy.sum(visibleData, axis=1) self._cache = { 'dataXMin': subsetXMin, 'dataXMax': subsetXMax, 'dataYMin': subsetYMin, 'dataYMax': subsetYMax, 'histoH': histoHVisibleData, 'histoHMin': numpy.min(histoHVisibleData), 'histoHMax': numpy.max(histoHVisibleData), 'histoV': histoVVisibleData, 'histoVMin': numpy.min(histoVVisibleData), 'histoVMax': numpy.max(histoVVisibleData) } # Convert to histogram curve and update plots # Taking into account origin and scale coords = numpy.arange(2 * histoHVisibleData.size) xCoords = (coords + 1) // 2 + subsetXMin xCoords = origin[0] + scale[0] * xCoords xData = numpy.take(histoHVisibleData, coords // 2) self._histoHPlot.addCurve(xCoords, xData, xlabel='', ylabel='', replace=False, color=self.HISTOGRAMS_COLOR, linestyle='-', selectable=False) vMin = self._cache['histoHMin'] vMax = self._cache['histoHMax'] vOffset = 0.1 * (vMax - vMin) if vOffset == 0.: vOffset = 1. self._histoHPlot.getYAxis().setLimits(vMin - vOffset, vMax + vOffset) coords = numpy.arange(2 * histoVVisibleData.size) yCoords = (coords + 1) // 2 + subsetYMin yCoords = origin[1] + scale[1] * yCoords yData = numpy.take(histoVVisibleData, coords // 2) self._histoVPlot.addCurve(yData, yCoords, xlabel='', ylabel='', replace=False, color=self.HISTOGRAMS_COLOR, linestyle='-', selectable=False) vMin = self._cache['histoVMin'] vMax = self._cache['histoVMax'] vOffset = 0.1 * (vMax - vMin) if vOffset == 0.: vOffset = 1. self._histoVPlot.getXAxis().setLimits(vMin - vOffset, vMax + vOffset) else: self._dirtyCache() self._histoHPlot.remove(kind='curve') self._histoVPlot.remove(kind='curve') self._updatingLimits = wasUpdatingLimits def _updateRadarView(self): """Update radar view visible area. Takes care of y coordinate conversion. """ xMin, xMax = self.getXAxis().getLimits() yMin, yMax = self.getYAxis().getLimits() self._radarView.setVisibleRect(xMin, yMin, xMax - xMin, yMax - yMin) # Plots event listeners def _imagePlotCB(self, eventDict): """Callback for imageView plot events.""" if eventDict['event'] == 'mouseMoved': activeImage = self.getActiveImage() if activeImage is not None: data = activeImage.getData(copy=False) height, width = data.shape # Get corresponding coordinate in image origin = activeImage.getOrigin() scale = activeImage.getScale() if (eventDict['x'] >= origin[0] and eventDict['y'] >= origin[1]): x = int((eventDict['x'] - origin[0]) / scale[0]) y = int((eventDict['y'] - origin[1]) / scale[1]) if x >= 0 and x < width and y >= 0 and y < height: self.valueChanged.emit(float(x), float(y), data[y][x]) elif eventDict['event'] == 'limitsChanged': self._updateHistogramsLimits() def _updateHistogramsLimits(self): # Do not handle histograms limitsChanged while # updating their limits from here. self._updatingLimits = True # Refresh histograms self._updateHistograms() xMin, xMax = self.getXAxis().getLimits() yMin, yMax = self.getYAxis().getLimits() # Set horizontal histo limits self._histoHPlot.getXAxis().setLimits(xMin, xMax) # Set vertical histo limits self._histoVPlot.getYAxis().setLimits(yMin, yMax) self._updateRadarView() self._updatingLimits = False def _histoHPlotCB(self, eventDict): """Callback for horizontal histogram plot events.""" if eventDict['event'] == 'mouseMoved': if self._cache is not None: activeImage = self.getActiveImage() if activeImage is not None: xOrigin = activeImage.getOrigin()[0] xScale = activeImage.getScale()[0] minValue = xOrigin + xScale * self._cache['dataXMin'] if eventDict['x'] >= minValue: data = self._cache['histoH'] column = int((eventDict['x'] - minValue) / xScale) if column >= 0 and column < data.shape[0]: self.valueChanged.emit( float('nan'), float(column + self._cache['dataXMin']), data[column]) elif eventDict['event'] == 'limitsChanged': if (not self._updatingLimits and eventDict['xdata'] != self.getXAxis().getLimits()): xMin, xMax = eventDict['xdata'] self.getXAxis().setLimits(xMin, xMax) def _histoVPlotCB(self, eventDict): """Callback for vertical histogram plot events.""" if eventDict['event'] == 'mouseMoved': if self._cache is not None: activeImage = self.getActiveImage() if activeImage is not None: yOrigin = activeImage.getOrigin()[1] yScale = activeImage.getScale()[1] minValue = yOrigin + yScale * self._cache['dataYMin'] if eventDict['y'] >= minValue: data = self._cache['histoV'] row = int((eventDict['y'] - minValue) / yScale) if row >= 0 and row < data.shape[0]: self.valueChanged.emit( float(row + self._cache['dataYMin']), float('nan'), data[row]) elif eventDict['event'] == 'limitsChanged': if (not self._updatingLimits and eventDict['ydata'] != self.getYAxis().getLimits()): yMin, yMax = eventDict['ydata'] self.getYAxis().setLimits(yMin, yMax) def _radarViewCB(self, left, top, width, height): """Slot for radar view visible rectangle changes.""" if not self._updatingLimits: # Takes care of Y axis conversion self.setLimits(left, left + width, top, top + height) def _updateYAxisInverted(self, inverted=None): """Sync image, vertical histogram and radar view axis orientation.""" if inverted is None: # Do not perform this when called from plot signal inverted = self.getYAxis().isInverted() self._histoVPlot.getYAxis().setInverted(inverted) # Use scale to invert radarView # RadarView default Y direction is from top to bottom # As opposed to Plot. So invert RadarView when Plot is NOT inverted. self._radarView.resetTransform() if not inverted: self._radarView.scale(1., -1.) self._updateRadarView() self._radarView.update() def _activeImageChangedSlot(self, previous, legend): """Handle Plot active image change. Resets side histograms cache """ self._dirtyCache() self._updateHistograms() def getHistogram(self, axis): """Return the histogram and corresponding row or column extent. The returned value when an histogram is available is a dict with keys: - 'data': numpy array of the histogram values. - 'extent': (start, end) row or column index. end index is not included in the histogram. :param str axis: 'x' for horizontal, 'y' for vertical :return: The histogram and its extent as a dict or None. :rtype: dict """ assert axis in ('x', 'y') if self._cache is None: return None else: if axis == 'x': return dict( data=numpy.array(self._cache['histoH'], copy=True), extent=(self._cache['dataXMin'], self._cache['dataXMax'])) else: return dict( data=numpy.array(self._cache['histoV'], copy=True), extent=(self._cache['dataYMin'], self._cache['dataYMax'])) def radarView(self): """Get the lower right radarView widget.""" return self._radarView def setRadarView(self, radarView): """Change the lower right radarView widget. :param RadarView radarView: Widget subclassing RadarView to replace the lower right corner widget. """ self._radarView.visibleRectDragged.disconnect(self._radarViewCB) self._radarView = radarView self._radarView.visibleRectDragged.connect(self._radarViewCB) self.centralWidget().layout().addWidget(self._radarView, 1, 1) self._updateYAxisInverted() # High-level API def getColormap(self): """Get the default colormap description. :return: A description of the current colormap. See :meth:`setColormap` for details. :rtype: dict """ return self.getDefaultColormap() def setColormap(self, colormap=None, normalization=None, autoscale=None, vmin=None, vmax=None, colors=None): """Set the default colormap and update active image. Parameters that are not provided are taken from the current colormap. The colormap parameter can also be a dict with the following keys: - *name*: string. The colormap to use: 'gray', 'reversed gray', 'temperature', 'red', 'green', 'blue'. - *normalization*: string. The mapping to use for the colormap: either 'linear' or 'log'. - *autoscale*: bool. Whether to use autoscale (True) or range provided by keys 'vmin' and 'vmax' (False). - *vmin*: float. The minimum value of the range to use if 'autoscale' is False. - *vmax*: float. The maximum value of the range to use if 'autoscale' is False. - *colors*: optional. Nx3 or Nx4 array of float in [0, 1] or uint8. List of RGB or RGBA colors to use (only if name is None) :param colormap: Name of the colormap in 'gray', 'reversed gray', 'temperature', 'red', 'green', 'blue'. Or the description of the colormap as a dict. :type colormap: dict or str. :param str normalization: Colormap mapping: 'linear' or 'log'. :param bool autoscale: Whether to use autoscale (True) or [vmin, vmax] range (False). :param float vmin: The minimum value of the range to use if 'autoscale' is False. :param float vmax: The maximum value of the range to use if 'autoscale' is False. :param numpy.ndarray colors: Only used if name is None. Custom colormap colors as Nx3 or Nx4 RGB or RGBA arrays """ cmap = self.getDefaultColormap() if isinstance(colormap, Colormap): # Replace colormap cmap = colormap self.setDefaultColormap(cmap) # Update active image colormap activeImage = self.getActiveImage() if isinstance(activeImage, items.ColormapMixIn): activeImage.setColormap(cmap) elif isinstance(colormap, dict): # Support colormap parameter as a dict assert normalization is None assert autoscale is None assert vmin is None assert vmax is None assert colors is None cmap._setFromDict(colormap) else: if colormap is not None: cmap.setName(colormap) if normalization is not None: cmap.setNormalization(normalization) if autoscale: cmap.setVRange(None, None) else: if vmin is not None: cmap.setVMin(vmin) if vmax is not None: cmap.setVMax(vmax) if colors is not None: cmap.setColormapLUT(colors) cursorColor = cursorColorForColormap(cmap.getName()) self.setInteractiveMode('zoom', color=cursorColor) def setImage(self, image, origin=(0, 0), scale=(1., 1.), copy=True, reset=True): """Set the image to display. :param image: A 2D array representing the image or None to empty plot. :type image: numpy.ndarray-like with 2 dimensions or None. :param origin: The (x, y) position of the origin of the image. Default: (0, 0). The origin is the lower left corner of the image when the Y axis is not inverted. :type origin: Tuple of 2 floats: (origin x, origin y). :param scale: The scale factor to apply to the image on X and Y axes. Default: (1, 1). It is the size of a pixel in the coordinates of the axes. Scales must be positive numbers. :type scale: Tuple of 2 floats: (scale x, scale y). :param bool copy: Whether to copy image data (default) or not. :param bool reset: Whether to reset zoom and ROI (default) or not. """ self._dirtyCache() assert len(origin) == 2 assert len(scale) == 2 assert scale[0] > 0 assert scale[1] > 0 if image is None: self.remove(self._imageLegend, kind='image') return data = numpy.array(image, order='C', copy=copy) assert data.size != 0 assert len(data.shape) == 2 height, width = data.shape self.addImage(data, legend=self._imageLegend, origin=origin, scale=scale, colormap=self.getColormap(), replace=False, resetzoom=False) self.setActiveImage(self._imageLegend) self._updateHistograms() self._radarView.setDataRect(origin[0], origin[1], width * scale[0], height * scale[1]) if reset: self.resetZoom() else: self._updateHistogramsLimits() # ImageViewMainWindow ######################################################### class ImageViewMainWindow(ImageView): """:class:`ImageView` with additional toolbars Adds extra toolbar and a status bar to :class:`ImageView`. """ def __init__(self, parent=None, backend=None): self._dataInfo = None super(ImageViewMainWindow, self).__init__(parent, backend) self.setWindowFlags(qt.Qt.Window) self.getXAxis().setLabel('X') self.getYAxis().setLabel('Y') self.setGraphTitle('Image') # Add toolbars and status bar self.addToolBar(qt.Qt.BottomToolBarArea, LimitsToolBar(plot=self)) self.statusBar() menu = self.menuBar().addMenu('File') menu.addAction(self.saveAction) menu.addAction(self.printAction) menu.addSeparator() action = menu.addAction('Quit') action.triggered[bool].connect(qt.QApplication.instance().quit) menu = self.menuBar().addMenu('Edit') menu.addAction(self.copyAction) menu.addSeparator() menu.addAction(self.resetZoomAction) menu.addAction(self.colormapAction) menu.addAction(actions.control.KeepAspectRatioAction(self, self)) menu.addAction(actions.control.YAxisInvertedAction(self, self)) menu = self.menuBar().addMenu('Profile') menu.addAction(self.profile.hLineAction) menu.addAction(self.profile.vLineAction) menu.addAction(self.profile.lineAction) menu.addAction(self.profile.clearAction) # Connect to ImageView's signal self.valueChanged.connect(self._statusBarSlot) def _statusBarSlot(self, row, column, value): """Update status bar with coordinates/value from plots.""" if numpy.isnan(row): msg = 'Column: %d, Sum: %g' % (int(column), value) elif numpy.isnan(column): msg = 'Row: %d, Sum: %g' % (int(row), value) else: msg = 'Position: (%d, %d), Value: %g' % (int(row), int(column), value) if self._dataInfo is not None: msg = self._dataInfo + ', ' + msg self.statusBar().showMessage(msg) def setImage(self, image, *args, **kwargs): """Set the displayed image. See :meth:`ImageView.setImage` for details. """ if hasattr(image, 'dtype') and hasattr(image, 'shape'): assert len(image.shape) == 2 height, width = image.shape self._dataInfo = 'Data: %dx%d (%s)' % (width, height, str(image.dtype)) self.statusBar().showMessage(self._dataInfo) else: self._dataInfo = None # Set the new image in ImageView widget super(ImageViewMainWindow, self).setImage(image, *args, **kwargs) self.setStatusBar(None)