text: # coding: utf-8
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  """QWidget displaying a 3D volume as a stack of 2D images.
  
  The :class:`StackView` class implements this widget.
  
  Basic usage of :class:`StackView` is through the following methods:
  
  - :meth:`StackView.getColormap`, :meth:`StackView.setColormap` to update the
    default colormap to use and update the currently displayed image.
  - :meth:`StackView.setStack` to update the displayed image.
  
  The :class:`StackView` uses :class:`PlotWindow` and also
  exposes a subset of the :class:`silx.gui.plot.Plot` API for further control
  (plot title, axes labels, ...).
  
  The :class:`StackViewMainWindow` class implements a widget that adds a status
  bar displaying the 3D index and the value under the mouse cursor.
  
  Example::
  
      import numpy
      import sys
      from silx.gui import qt
      from silx.gui.plot.StackView import StackViewMainWindow
  
  
      app = qt.QApplication(sys.argv[1:])
  
      # synthetic data, stack of 100 images of size 200x300
      mystack = numpy.fromfunction(
          lambda i, j, k: numpy.sin(i/15.) + numpy.cos(j/4.) + 2 * numpy.sin(k/6.),
          (100, 200, 300)
      )
  
  
      sv = StackViewMainWindow()
      sv.setColormap("jet", autoscale=True)
      sv.setStack(mystack)
      sv.setLabels(["1st dim (0-99)", "2nd dim (0-199)",
                    "3rd dim (0-299)"])
      sv.show()
  
      app.exec()
  
  """
  
  __authors__ = ["P. Knobel", "H. Payno"]
  __license__ = "MIT"
  __date__ = "10/10/2018"
  
  import numpy
  import logging
  
  import silx
  from silx.gui import qt
  from .. import icons
  from . import items, PlotWindow, actions
  from .items.image import ImageStack
  from ..colors import Colormap
  from ..colors import cursorColorForColormap
  from .tools import LimitsToolBar
  from .Profile import Profile3DToolBar
  from ..widgets.FrameBrowser import HorizontalSliderWithBrowser
  
  from silx.gui.plot.actions import control as actions_control
  from silx.gui.plot.actions import io as silx_io
  from silx.io.nxdata import save_NXdata
  from silx.utils.array_like import DatasetView, ListOfImages
  from silx.math import calibration
  from silx.utils.deprecation import deprecated_warning
  from silx.utils.deprecation import deprecated
  
  import h5py
  from silx.io.utils import is_dataset
  
  _logger = logging.getLogger(__name__)
  
  
  class StackView(qt.QMainWindow):
      """Stack view widget, to display and browse through stack of
      images.
  
      The profile tool can be switched to "3D" mode, to compute the profile
      on each image of the stack (not only the active image currently displayed)
      and display the result as a slice.
  
      :param QWidget parent: the Qt parent, 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`
      :param bool resetzoom: Toggle visibility of reset zoom action.
      :param bool autoScale: Toggle visibility of axes autoscale actions.
      :param bool logScale: Toggle visibility of axes log scale actions.
      :param bool grid: Toggle visibility of grid mode action.
      :param bool colormap: Toggle visibility of colormap action.
      :param bool aspectRatio: Toggle visibility of aspect ratio button.
      :param bool yInverted: Toggle visibility of Y axis direction button.
      :param bool copy: Toggle visibility of copy action.
      :param bool save: Toggle visibility of save action.
      :param bool print_: Toggle visibility of print action.
      :param bool control: True to display an Options button with a sub-menu
                           to show legends, toggle crosshair and pan with arrows.
                           (Default: False)
      :param position: True to display widget with (x, y) mouse position
                       (Default: False).
                       It also supports a list of (name, funct(x, y)->value)
                       to customize the displayed values.
                       See :class:`silx.gui.plot.PlotTools.PositionInfo`.
      :param bool mask: Toggle visibilty of mask action.
      """
      # Qt signals
      valueChanged = qt.Signal(object, object, object)
      """Signals that the data value under the cursor has changed.
  
      It provides: row, column, data value.
      """
  
      sigPlaneSelectionChanged = qt.Signal(int)
      """Signal emitted when there is a change is perspective/displayed axes.
  
      It provides the perspective as an integer, with the following meaning:
  
          - 0: axis Y is the 2nd dimension, axis X is the 3rd dimension
          - 1: axis Y is the 1st dimension, axis X is the 3rd dimension
          - 2: axis Y is the 1st dimension, axis X is the 2nd dimension
      """
  
      sigStackChanged = qt.Signal(int)
      """Signal emitted when the stack is changed.
      This happens when a new volume is loaded, or when the current volume
      is transposed (change in perspective).
  
      The signal provides the size (number of pixels) of the stack.
      This will be 0 if the stack is cleared, else it will be a positive
      integer.
      """
  
      sigFrameChanged = qt.Signal(int)
      """Signal emitter when the frame number has changed.
  
      This signal provides the current frame number.
      """
  
      IMAGE_STACK_FILTER_NXDATA = 'Stack of images as NXdata (%s)' % silx_io._NEXUS_HDF5_EXT_STR
  
  
      def __init__(self, parent=None, resetzoom=True, backend=None,
                   autoScale=False, logScale=False, grid=False,
                   colormap=True, aspectRatio=True, yinverted=True,
                   copy=True, save=True, print_=True, control=False,
                   position=None, mask=True):
          qt.QMainWindow.__init__(self, parent)
          if parent is not None:
              # behave as a widget
              self.setWindowFlags(qt.Qt.Widget)
          else:
              self.setWindowTitle('StackView')
  
          self._stack = None
          """Loaded stack, as a 3D array, a 3D dataset or a list of 2D arrays."""
          self.__transposed_view = None
          """View on :attr:`_stack` with the axes sorted, to have
          the orthogonal dimension first"""
          self._perspective = 0
          """Orthogonal dimension (depth) in :attr:`_stack`"""
  
          self._stackItem = ImageStack()
          """Hold the item displaying the stack"""
          imageLegend = '__StackView__image' + str(id(self))
          self._stackItem.setName(imageLegend)
  
          self.__autoscaleCmap = False
          """Flag to disable/enable colormap auto-scaling
          based on the min/max values of the entire 3D volume"""
          self.__dimensionsLabels = ["Dimension 0", "Dimension 1",
                                     "Dimension 2"]
          """These labels are displayed on the X and Y axes.
          :meth:`setLabels` updates this attribute."""
  
          self._first_stack_dimension = 0
          """Used for dimension labels and combobox"""
  
          self._titleCallback = self._defaultTitleCallback
          """Function returning the plot title based on the frame index.
          It can be set to a custom function using :meth:`setTitleCallback`"""
  
          self.calibrations3D = (calibration.NoCalibration(),
                                 calibration.NoCalibration(),
                                 calibration.NoCalibration())
  
          central_widget = qt.QWidget(self)
  
          self._plot = PlotWindow(parent=central_widget, backend=backend,
                                  resetzoom=resetzoom, autoScale=autoScale,
                                  logScale=logScale, grid=grid,
                                  curveStyle=False, colormap=colormap,
                                  aspectRatio=aspectRatio, yInverted=yinverted,
                                  copy=copy, save=save, print_=print_,
                                  control=control, position=position,
                                  roi=False, mask=mask)
          self._plot.addItem(self._stackItem)
          self._plot.getIntensityHistogramAction().setVisible(True)
          self.sigInteractiveModeChanged = self._plot.sigInteractiveModeChanged
          self.sigActiveImageChanged = self._plot.sigActiveImageChanged
          self.sigPlotSignal = self._plot.sigPlotSignal
  
          if silx.config.DEFAULT_PLOT_IMAGE_Y_AXIS_ORIENTATION == 'downward':
              self._plot.getYAxis().setInverted(True)
  
          self._addColorBarAction()
  
          self._profileToolBar = Profile3DToolBar(parent=self._plot,
                                                  stackview=self)
          self._plot.addToolBar(self._profileToolBar)
          self._plot.getXAxis().setLabel('Columns')
          self._plot.getYAxis().setLabel('Rows')
          self._plot.sigPlotSignal.connect(self._plotCallback)
          self._plot.getSaveAction().setFileFilter('image', self.IMAGE_STACK_FILTER_NXDATA, func=self._saveImageStack, appendToFile=True)
  
          self.__planeSelection = PlanesWidget(self._plot)
          self.__planeSelection.sigPlaneSelectionChanged.connect(self.setPerspective)
  
          self._browser_label = qt.QLabel("Image index (Dim0):")
  
          self._browser = HorizontalSliderWithBrowser(central_widget)
          self._browser.setRange(0, 0)
          self._browser.valueChanged[int].connect(self.__updateFrameNumber)
          self._browser.setEnabled(False)
  
          layout = qt.QGridLayout()
          layout.setContentsMargins(0, 0, 0, 0)
          layout.addWidget(self._plot, 0, 0, 1, 3)
          layout.addWidget(self.__planeSelection, 1, 0)
          layout.addWidget(self._browser_label, 1, 1)
          layout.addWidget(self._browser, 1, 2)
  
          central_widget.setLayout(layout)
          self.setCentralWidget(central_widget)
  
          # clear profile lines when the perspective changes (plane browsed changed)
          self.__planeSelection.sigPlaneSelectionChanged.connect(
              self._profileToolBar.clearProfile)
  
      def _saveImageStack(self, plot, filename, nameFilter):
          """Save all images from the stack into a volume.
  
          :param str filename: The name of the file to write
          :param str nameFilter: The selected name filter
          :return: False if format is not supported or save failed,
                   True otherwise.
          :raises: ValueError if nameFilter is invalid
          """
          if not nameFilter == self.IMAGE_STACK_FILTER_NXDATA:
              raise ValueError('Wrong callback')
          entryPath = silx_io.SaveAction._selectWriteableOutputGroup(filename, parent=self)
          if entryPath is None:
              return False
          return save_NXdata(filename,
                             nxentry_name=entryPath,
                             signal=self.getStack(copy=False, returnNumpyArray=True)[0],
                             signal_name="image_stack")
  
      def _addColorBarAction(self):
          self._plot.getColorBarWidget().setVisible(True)
          actions = self._plot.toolBar().actions()
          for index, action in enumerate(actions):
              if action is self._plot.getColormapAction():
                  break
          self._colorbarAction = actions_control.ColorBarAction(self._plot, self._plot)
          self._plot.toolBar().insertAction(actions[index + 1], self._colorbarAction)
  
      def _plotCallback(self, eventDict):
          """Callback for plot events.
  
          Emit :attr:`valueChanged` signal, with (x, y, value) tuple of the
          cursor location in the plot."""
          if eventDict['event'] == 'mouseMoved':
              activeImage = self.getActiveImage()
              if activeImage is not None:
                  data = activeImage.getData()
                  height, width = data.shape
  
                  # Get corresponding coordinate in image
                  origin = activeImage.getOrigin()
                  scale = activeImage.getScale()
                  x = int((eventDict['x'] - origin[0]) / scale[0])
                  y = int((eventDict['y'] - origin[1]) / scale[1])
  
                  if 0 <= x < width and 0 <= y < height:
                      self.valueChanged.emit(float(x), float(y),
                                             data[y][x])
                  else:
                      self.valueChanged.emit(float(x), float(y),
                                             None)
  
      def getPerspective(self):
          """Returns the index of the dimension the stack is browsed with
  
          Possible values are: 0, 1, or 2.
  
          :rtype: int
          """
          return self._perspective
  
      def setPerspective(self, perspective):
          """Set the index of the dimension the stack is browsed with:
  
          - slice plane Dim1-Dim2: perspective 0
          - slice plane Dim0-Dim2: perspective 1
          - slice plane Dim0-Dim1: perspective 2
  
          :param int perspective: Orthogonal dimension number (0, 1, or 2)
          """
          if perspective == self._perspective:
              return
          else:
              if perspective > 2 or perspective < 0:
                  raise ValueError(
                      "Perspective must be 0, 1 or 2, not %s" % perspective)
  
              self._perspective = int(perspective)
              self.__createTransposedView()
              self.__updateFrameNumber(self._browser.value())
              self._plot.resetZoom()
              self.__updatePlotLabels()
              self._updateTitle()
              self._browser_label.setText("Image index (Dim%d):" %
                                          (self._first_stack_dimension + perspective))
  
              self.sigPlaneSelectionChanged.emit(perspective)
              self.sigStackChanged.emit(self._stack.size if
                                        self._stack is not None else 0)
              self.__planeSelection.sigPlaneSelectionChanged.disconnect(self.setPerspective)
              self.__planeSelection.setPerspective(self._perspective)
              self.__planeSelection.sigPlaneSelectionChanged.connect(self.setPerspective)
  
      def __updatePlotLabels(self):
          """Update plot axes labels depending on perspective"""
          y, x = (1, 2) if self._perspective == 0 else \
              (0, 2) if self._perspective == 1 else (0, 1)
          self.setGraphXLabel(self.__dimensionsLabels[x])
          self.setGraphYLabel(self.__dimensionsLabels[y])
  
      def __createTransposedView(self):
          """Create the new view on the stack depending on the perspective
          (set orthogonal axis browsed on the viewer as first dimension)
          """
          assert self._stack is not None
          assert 0 <= self._perspective < 3
  
          # ensure we have the stack encapsulated in an array-like object
          # having a transpose() method
          if isinstance(self._stack, numpy.ndarray):
              self.__transposed_view = self._stack
  
          elif is_dataset(self._stack) or isinstance(self._stack, DatasetView):
              self.__transposed_view = DatasetView(self._stack)
  
          elif isinstance(self._stack, ListOfImages):
              self.__transposed_view = ListOfImages(self._stack)
  
          # transpose the array-like object if necessary
          if self._perspective == 1:
              self.__transposed_view = self.__transposed_view.transpose((1, 0, 2))
          elif self._perspective == 2:
              self.__transposed_view = self.__transposed_view.transpose((2, 0, 1))
  
          self._browser.setRange(0, self.__transposed_view.shape[0] - 1)
          self._browser.setValue(0)
  
          # Update the item structure
          self._stackItem.setStackData(self.__transposed_view, 0, copy=False)
          self._stackItem.setColormap(self.getColormap())
          self._stackItem.setOrigin(self._getImageOrigin())
          self._stackItem.setScale(self._getImageScale())
  
      def __updateFrameNumber(self, index):
          """Update the current image.
  
          :param index: index of the frame to be displayed
          """
          if self.__transposed_view is None:
              # no data set
              return
  
          self._stackItem.setStackPosition(index)
  
          self._updateTitle()
          self.sigFrameChanged.emit(index)
  
      def _set3DScaleAndOrigin(self, calibrations):
          """Set scale and origin for all 3 axes, to be used when plotting
          an image.
  
          See setStack for parameter documentation
          """
          if calibrations is None:
              self.calibrations3D = (calibration.NoCalibration(),
                                     calibration.NoCalibration(),
                                     calibration.NoCalibration())
          else:
              self.calibrations3D = []
              for i, calib in enumerate(calibrations):
                  if hasattr(calib, "__len__") and len(calib) == 2:
                      calib = calibration.LinearCalibration(calib[0], calib[1])
                  elif calib is None:
                      calib = calibration.NoCalibration()
                  elif not isinstance(calib, calibration.AbstractCalibration):
                      raise TypeError("calibration must be a 2-tuple, None or" +
                                      " an instance of an AbstractCalibration " +
                                      "subclass")
                  elif not calib.is_affine():
                      _logger.warning(
                              "Calibration for dimension %d is not linear, "
                              "it will be ignored for scaling the graph axes.",
                              i)
                  self.calibrations3D.append(calib)
  
      def getCalibrations(self, order='array'):
          """Returns currently used calibrations for each axis
  
          Returned calibrations might differ from the ones that were set as
          non-linear calibrations used for image axes are temporarily ignored.
  
          :param str order:
              'array' to sort calibrations as data array (dim0, dim1, dim2),
              'axes' to sort calibrations as currently selected x, y and z axes.
          :return: Calibrations ordered depending on order
          :rtype: List[~silx.math.calibration.AbstractCalibration]
          """
          assert order in ('array', 'axes')
          calibs = []
  
          # filter out non-linear calibration for graph axes
          for index, calib in enumerate(self.calibrations3D):
              if index != self._perspective and not calib.is_affine():
                  calib = calibration.NoCalibration()
              calibs.append(calib)
  
          if order == 'axes':  # Move 'z' axis to the end
              xy_dims = [d for d in (0, 1, 2) if d != self._perspective]
              calibs = [calibs[max(xy_dims)],
                        calibs[min(xy_dims)],
                        calibs[self._perspective]]
  
          return tuple(calibs)
  
      def _getImageScale(self):
          """
          :return: 2-tuple (XScale, YScale) for current image view
          """
          xcalib, ycalib, _zcalib = self.getCalibrations(order='axes')
          return xcalib.get_slope(), ycalib.get_slope()
  
      def _getImageOrigin(self):
          """
          :return: 2-tuple (XOrigin, YOrigin) for current image view
          """
          xcalib, ycalib, _zcalib = self.getCalibrations(order='axes')
          return xcalib(0), ycalib(0)
  
      def _getImageZ(self, index):
          """
          :param idx: 0-based image index in the stack
          :return: calibrated Z value corresponding to the image idx
          """
          _xcalib, _ycalib, zcalib = self.getCalibrations(order='axes')
          return zcalib(index)
  
      def _updateTitle(self):
          frame_idx = self._browser.value()
          self._plot.setGraphTitle(self._titleCallback(frame_idx))
  
      def _defaultTitleCallback(self, index):
          return "Image z=%g" % self._getImageZ(index)
  
      # public API, stack specific methods
      def setStack(self, stack, perspective=None, reset=True, calibrations=None):
          """Set the 3D stack.
  
          The perspective parameter is used to define which dimension of the 3D
          array is to be used as frame index. The lowest remaining dimension
          number is the row index of the displayed image (Y axis), and the highest
          remaining dimension is the column index (X axis).
  
          :param stack: 3D stack, or `None` to clear plot.
          :type stack: 3D numpy.ndarray, or 3D h5py.Dataset, or list/tuple of 2D
              numpy arrays, or None.
          :param int perspective: Dimension for the frame index: 0, 1 or 2.
              Use ``None`` to keep the current perspective (default).
          :param bool reset: Whether to reset zoom or not.
          :param calibrations: Sequence of 3 calibration objects for each axis.
              These objects can be a subclass of :class:`AbstractCalibration`,
              or 2-tuples *(a, b)* where *a* is the y-intercept and *b* is the
              slope of a linear calibration (:math:`x \\mapsto a + b x`)
          """
          if stack is None:
              self.clear()
              self.sigStackChanged.emit(0)
              return
  
          self._set3DScaleAndOrigin(calibrations)
  
          # stack as list of 2D arrays: must be converted into an array_like
          if not isinstance(stack, numpy.ndarray):
              if not is_dataset(stack):
                  try:
                      assert hasattr(stack, "__len__")
                      for img in stack:
                          assert hasattr(img, "shape")
                          assert len(img.shape) == 2
                  except AssertionError:
                      raise ValueError(
                          "Stack must be a 3D array/dataset or a list of " +
                          "2D arrays.")
                  stack = ListOfImages(stack)
  
          assert len(stack.shape) == 3, "data must be 3D"
  
          self._stack = stack
          self.__createTransposedView()
  
          perspective_changed = False
          if perspective not in [None, self._perspective]:
              perspective_changed = True
              self.setPerspective(perspective)
  
          if self.__autoscaleCmap:
              self.scaleColormapRangeToStack()
  
          # init plot
          self._stackItem.setStackData(self.__transposed_view, 0, copy=False)
          self._stackItem.setColormap(self.getColormap())
          self._stackItem.setOrigin(self._getImageOrigin())
          self._stackItem.setScale(self._getImageScale())
          self._stackItem.setVisible(True)
  
          # Put back the item in the plot in case it was cleared
          exists = self._plot.getImage(self._stackItem.getName())
          if exists is None:
              self._plot.addItem(self._stackItem)
  
          self._plot.setActiveImage(self._stackItem.getName())
          self.__updatePlotLabels()
          self._updateTitle()
  
          if reset:
              self._plot.resetZoom()
  
          # enable and init browser
          self._browser.setEnabled(True)
  
          if not perspective_changed:    # avoid double signal (see self.setPerspective)
              self.sigStackChanged.emit(stack.size)
  
      def getStack(self, copy=True, returnNumpyArray=False):
          """Get the original stack, as a 3D array or dataset.
  
          The output has the form: [data, params]
          where params is a dictionary containing display parameters.
  
          :param bool copy: If True (default), then the object is copied
              and returned as a numpy array.
              Else, a reference to original data is returned, if possible.
              If the original data is not a numpy array and parameter
              returnNumpyArray is True, a copy will be made anyway.
          :param bool returnNumpyArray: If True, the returned object is
              guaranteed to be a numpy array.
          :return: 3D stack and parameters.
          :rtype: (numpy.ndarray, dict)
          """
          if self._stack is None:
              return None
  
          image = self._stackItem
          colormap = image.getColormap()
  
          params = {
              'info': image.getInfo(),
              'origin': image.getOrigin(),
              'scale': image.getScale(),
              'z': image.getZValue(),
              'selectable': image.isSelectable(),
              'draggable': image.isDraggable(),
              'colormap': colormap,
              'xlabel': image.getXLabel(),
              'ylabel': image.getYLabel(),
          }
          if returnNumpyArray or copy:
              return numpy.array(self._stack, copy=copy), params
  
          # if a list of 2D arrays was cast into a ListOfImages,
          # return the original list
          if isinstance(self._stack, ListOfImages):
              return self._stack.images, params
  
          return self._stack, params
  
      def getCurrentView(self, copy=True, returnNumpyArray=False):
          """Get the stack, as it is currently displayed.
  
          The first index of the returned stack is always the frame
          index. If the perspective has been changed in the widget since the
          data was first loaded, this will be reflected in the order of the
          dimensions of the returned object.
  
          The output has the form: [data, params]
          where params is a dictionary containing display parameters.
  
          :param bool copy: If True (default), then the object is copied
              and returned as a numpy array.
              Else, a reference to original data is returned, if possible.
              If the original data is not a numpy array and parameter
              `returnNumpyArray` is `True`, a copy will be made anyway.
          :param bool returnNumpyArray: If `True`, the returned object is
              guaranteed to be a numpy array.
          :return: 3D stack and parameters.
          :rtype: (numpy.ndarray, dict)
          """
          image = self.getActiveImage()
          if image is None:
              return None
  
          if isinstance(image, items.ColormapMixIn):
              colormap = image.getColormap()
          else:
              colormap = None
  
          params = {
              'info': image.getInfo(),
              'origin': image.getOrigin(),
              'scale': image.getScale(),
              'z': image.getZValue(),
              'selectable': image.isSelectable(),
              'draggable': image.isDraggable(),
              'colormap': colormap,
              'xlabel': image.getXLabel(),
              'ylabel': image.getYLabel(),
          }
          if returnNumpyArray or copy:
              return numpy.array(self.__transposed_view, copy=copy), params
          return self.__transposed_view, params
  
      def setFrameNumber(self, number):
          """Set the frame selection to a specific value
  
          :param int number: Number of the frame
          """
          self._browser.setValue(number)
  
      def getFrameNumber(self):
          """Set the frame selection to a specific value
  
          :return: Index of currently displayed frame
          :rtype: int
          """
          return self._browser.value()
  
      def setFirstStackDimension(self, first_stack_dimension):
          """When viewing the last 3 dimensions of an n-D array (n>3), you can
          use this method to change the text in the combobox.
  
          For instance, for a 7-D array, first stack dim is 4, so the default
          "Dim1-Dim2" text should be replaced with "Dim5-Dim6" (dimensions
          numbers are 0-based).
  
          :param int first_stack_dim: First stack dimension (n-3) when viewing the
              last 3 dimensions of an n-D array.
          """
          old_state = self.__planeSelection.blockSignals(True)
          self.__planeSelection.setFirstStackDimension(first_stack_dimension)
          self.__planeSelection.blockSignals(old_state)
          self._first_stack_dimension = first_stack_dimension
          self._browser_label.setText("Image index (Dim%d):" % first_stack_dimension)
  
      def setTitleCallback(self, callback):
          """Set a user defined function to generate the plot title based on the
          image/frame index.
  
          The callback function must accept an integer as a its first positional
          parameter and must not require any other mandatory parameter.
          It must return a string.
  
          To switch back the default behavior, you can pass ``None``::
  
              mystackview.setTitleCallback(None)
  
          To have no title, pass a function that returns an empty string::
  
              mystackview.setTitleCallback(lambda idx: "")
  
          :param callback: Callback function generating the stack title based
              on the frame number.
          """
  
          if callback is None:
              self._titleCallback = self._defaultTitleCallback
          elif callable(callback):
              self._titleCallback = callback
          else:
              raise TypeError("Provided callback is not callable")
          self._updateTitle()
  
      def clear(self):
          """Clear the widget:
  
           - clear the plot
           - clear the loaded data volume
          """
          self._stack = None
          self.__transposed_view = None
          self._perspective = 0
          self._browser.setEnabled(False)
          # reset browser range
          self._browser.setRange(0, 0)
          self._plot.clear()
  
      def setLabels(self, labels=None):
          """Set the labels to be displayed on the plot axes.
  
          You must provide a sequence of 3 strings, corresponding to the 3
          dimensions of the original data volume.
          The proper label will automatically be selected for each plot axis
          when the volume is rotated (when different axes are selected as the
          X and Y axes).
  
          :param List[str] labels: 3 labels corresponding to the 3 dimensions
               of the data volumes.
          """
  
          default_labels = ["Dimension %d" % self._first_stack_dimension,
                            "Dimension %d" % (self._first_stack_dimension + 1),
                            "Dimension %d" % (self._first_stack_dimension + 2)]
          if labels is None:
              new_labels = default_labels
          else:
              # filter-out None
              new_labels = []
              for i, label in enumerate(labels):
                  new_labels.append(label or default_labels[i])
  
          self.__dimensionsLabels = new_labels
          self.__updatePlotLabels()
  
      def getLabels(self):
          """Return dimension labels displayed on the plot axes
  
          :return: List of three strings corresponding to the 3 dimensions
              of the stack: (name_dim0, name_dim1, name_dim2)
          """
          return self.__dimensionsLabels
  
      def getColormap(self):
          """Get the current colormap description.
  
          :return: A description of the current colormap.
                   See :meth:`setColormap` for details.
          :rtype: dict
          """
          # "default" colormap used by addImage when image is added without
          # specifying a special colormap
          return self._plot.getDefaultColormap()
  
      def scaleColormapRangeToStack(self):
          """Scale colormap range according to current stack data.
  
          If no stack has been set through :meth:`setStack`, this has no effect.
  
          The range scaling mode is given by current :class:`Colormap`'s
          :meth:`Colormap.getAutoscaleMode`.
          """
          stack = self.getStack(copy=False, returnNumpyArray=True)
          if stack is None:
              return  # No-op
  
          colormap = self.getColormap()
          vmin, vmax = colormap.getColormapRange(data=stack[0])
          colormap.setVRange(vmin=vmin, vmax=vmax)
  
      def setColormap(self, colormap=None, normalization=None,
                      autoscale=None, vmin=None, vmax=None, colors=None):
          """Set the 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 a :class`.Colormap` object.
          :type colormap: dict or str.
          :param str normalization: Colormap mapping: 'linear' or 'log'.
          :param bool autoscale: Whether to use autoscale or [vmin, vmax] range.
              Default value of autoscale is False. This option is not compatible
              with h5py datasets.
          :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
          """
          # if is a colormap object or a dictionary
          if isinstance(colormap, Colormap) or isinstance(colormap, dict):
              # Support colormap parameter as a dict
              errmsg = "If colormap is provided as a Colormap object, all other parameters"
              errmsg += " must not be specified when calling setColormap"
              assert normalization is None, errmsg
              assert autoscale is None, errmsg
              assert vmin is None, errmsg
              assert vmax is None, errmsg
              assert colors is None, errmsg
  
              if isinstance(colormap, dict):
                  reason = 'colormap parameter should now be an object'
                  replacement = 'Colormap()'
                  since_version = '0.6'
                  deprecated_warning(type_='function',
                                     name='setColormap',
                                     reason=reason,
                                     replacement=replacement,
                                     since_version=since_version)
                  _colormap = Colormap._fromDict(colormap)
              else:
                  _colormap = colormap
          else:
              norm = normalization if normalization is not None else 'linear'
              name = colormap if colormap is not None else 'gray'
              _colormap = Colormap(name=name,
                                   normalization=norm,
                                   vmin=vmin,
                                   vmax=vmax,
                                   colors=colors)
  
              if autoscale is not None:
                  deprecated_warning(
                      type_='function',
                      name='setColormap',
                      reason='autoscale argument is replaced by a method',
                      replacement='scaleColormapRangeToStack',
                      since_version='0.14')
              self.__autoscaleCmap = bool(autoscale)
  
          cursorColor = cursorColorForColormap(_colormap.getName())
          self._plot.setInteractiveMode('zoom', color=cursorColor)
  
          self._plot.setDefaultColormap(_colormap)
  
          # Update active image colormap
          activeImage = self.getActiveImage()
          if isinstance(activeImage, items.ColormapMixIn):
              activeImage.setColormap(self.getColormap())
  
          if self.__autoscaleCmap:
              # scaleColormapRangeToStack needs to be called **after**
              # setDefaultColormap so getColormap returns the right colormap
              self.scaleColormapRangeToStack()
  
  
      @deprecated(replacement="getPlotWidget", since_version="0.13")
      def getPlot(self):
          return self.getPlotWidget()
  
      def getPlotWidget(self):
          """Return the :class:`PlotWidget`.
  
          This gives access to advanced plot configuration options.
          Be warned that modifying the plot can cause issues, and some changes
          you make to the plot could be overwritten by the :class:`StackView`
          widget's internal methods and callbacks.
  
          :return: instance of :class:`PlotWidget` used in widget
          """
          return self._plot
  
      def setOptionVisible(self, isVisible):
          """
          Set the visibility of the browsing options.
  
          :param bool isVisible: True to have the options visible, else False
          """
          self._browser.setVisible(isVisible)
          self.__planeSelection.setVisible(isVisible)
  
      # proxies to PlotWidget or PlotWindow methods
      def getProfileToolbar(self):
          """Profile tools attached to this plot
          """
          return self._profileToolBar
  
      def getGraphTitle(self):
          """Return the plot main title as a str.
          """
          return self._plot.getGraphTitle()
  
      def setGraphTitle(self, title=""):
          """Set the plot main title.
  
          :param str title: Main title of the plot (default: '')
          """
          return self._plot.setGraphTitle(title)
  
      def getGraphXLabel(self):
          """Return the current horizontal axis label as a str.
          """
          return self._plot.getXAxis().getLabel()
  
      def setGraphXLabel(self, label=None):
          """Set the plot horizontal axis label.
  
          :param str label: The horizontal axis label
          """
          if label is None:
              label = self.__dimensionsLabels[1 if self._perspective == 2 else 2]
          self._plot.getXAxis().setLabel(label)
  
      def getGraphYLabel(self, axis='left'):
          """Return the current vertical axis label as a str.
  
          :param str axis: The Y axis for which to get the label (left or right)
          """
          return self._plot.getYAxis().getLabel(axis)
  
      def setGraphYLabel(self, label=None, axis='left'):
          """Set the vertical axis label on the plot.
  
          :param str label: The Y axis label
          :param str axis: The Y axis for which to set the label (left or right)
          """
          if label is None:
              label = self.__dimensionsLabels[1 if self._perspective == 0 else 0]
          self._plot.getYAxis(axis=axis).setLabel(label)
  
      def resetZoom(self):
          """Reset the plot limits to the bounds of the data and redraw the plot.
  
          This method is a simple proxy to the legacy :class:`PlotWidget` method
          of the same name. Using the object oriented approach is now
          preferred::
  
              stackview.getPlot().resetZoom()
          """
          self._plot.resetZoom()
  
      def setYAxisInverted(self, flag=True):
          """Set the Y axis orientation.
  
          This method is a simple proxy to the legacy :class:`PlotWidget` method
          of the same name. Using the object oriented approach is now
          preferred::
  
              stackview.getPlot().setYAxisInverted(flag)
  
          :param bool flag: True for Y axis going from top to bottom,
                            False for Y axis going from bottom to top
          """
          self._plot.setYAxisInverted(flag)
  
      def isYAxisInverted(self):
          """Return True if Y axis goes from top to bottom, False otherwise.
  
          This method is a simple proxy to the legacy :class:`PlotWidget` method
          of the same name. Using the object oriented approach is now
          preferred::
  
              stackview.getPlot().isYAxisInverted()"""
          return self._plot.isYAxisInverted()
  
      def getSupportedColormaps(self):
          """Get the supported colormap names as a tuple of str.
  
          The list should at least contain and start by:
          ('gray', 'reversed gray', 'temperature', 'red', 'green', 'blue')
  
          This method is a simple proxy to the legacy :class:`PlotWidget` method
          of the same name. Using the object oriented approach is now
          preferred::
  
              stackview.getPlot().getSupportedColormaps()
          """
          return self._plot.getSupportedColormaps()
  
      def isKeepDataAspectRatio(self):
          """Returns whether the plot is keeping data aspect ratio or not.
  
          This method is a simple proxy to the legacy :class:`PlotWidget` method
          of the same name. Using the object oriented approach is now
          preferred::
  
              stackview.getPlot().isKeepDataAspectRatio()"""
          return self._plot.isKeepDataAspectRatio()
  
      def setKeepDataAspectRatio(self, flag=True):
          """Set whether the plot keeps data aspect ratio or not.
  
          This method is a simple proxy to the legacy :class:`PlotWidget` method
          of the same name. Using the object oriented approach is now
          preferred::
  
              stackview.getPlot().setKeepDataAspectRatio(flag)
  
          :param bool flag: True to respect data aspect ratio
          """
          self._plot.setKeepDataAspectRatio(flag)
  
      # kind of private methods, but needed by Profile
      def getActiveImage(self, just_legend=False):
          """Returns the stack image object.
          """
          if just_legend:
              return self._stackItem.getName()
          return self._stackItem
  
      def getColorBarAction(self):
          """Returns the action managing the visibility of the colorbar.
  
          .. warning:: to show/hide the plot colorbar call directly the ColorBar
              widget using getColorBarWidget()
  
          :rtype: QAction
          """
          return self._colorbarAction
  
      def remove(self, legend=None,
                 kind=('curve', 'image', 'item', 'marker')):
          """See :meth:`Plot.Plot.remove`"""
          self._plot.remove(legend, kind)
  
      def setInteractiveMode(self, *args, **kwargs):
          """
          See :meth:`Plot.Plot.setInteractiveMode`
          """
          self._plot.setInteractiveMode(*args, **kwargs)
  
      @deprecated(replacement="addShape", since_version="0.13")
      def addItem(self, *args, **kwargs):
          self.addShape(*args, **kwargs)
  
      def addShape(self, *args, **kwargs):
          """
          See :meth:`Plot.Plot.addShape`
          """
          self._plot.addShape(*args, **kwargs)
  
  
  class PlanesWidget(qt.QWidget):
      """Widget for the plane/perspective selection
  
      :param parent: the parent QWidget
      """
      sigPlaneSelectionChanged = qt.Signal(int)
  
      def __init__(self, parent):
          super(PlanesWidget, self).__init__(parent)
  
          self.setSizePolicy(qt.QSizePolicy.Minimum, qt.QSizePolicy.Minimum)
          layout0 = qt.QHBoxLayout()
          self.setLayout(layout0)
          layout0.setContentsMargins(0, 0, 0, 0)
  
          layout0.addWidget(qt.QLabel("Axes selection:"))
  
          # By default, the first dimension (dim0) is the frame index/depth/z,
          # the second dimension is the image row number/y axis
          # and the third dimension is the image column index/x axis
  
          # 1
          # | 0
          # |/__2
          self.qcbAxisSelection = qt.QComboBox(self)
          self._setCBChoices(first_stack_dimension=0)
          self.qcbAxisSelection.currentIndexChanged[int].connect(
              self.__planeSelectionChanged)
  
          layout0.addWidget(self.qcbAxisSelection)
  
      def __planeSelectionChanged(self, idx):
          """Callback function when the combobox selection changes
  
          idx is the dimension number orthogonal to the slice plane,
          following the convention:
  
            - slice plane Dim1-Dim2: perspective 0
            - slice plane Dim0-Dim2: perspective 1
            - slice plane Dim0-Dim1: perspective 2
          """
          self.sigPlaneSelectionChanged.emit(idx)
  
      def _setCBChoices(self, first_stack_dimension):
          self.qcbAxisSelection.clear()
  
          dim1dim2 = 'Dim%d-Dim%d' % (first_stack_dimension + 1,
                                      first_stack_dimension + 2)
          dim0dim2 = 'Dim%d-Dim%d' % (first_stack_dimension,
                                      first_stack_dimension + 2)
          dim0dim1 = 'Dim%d-Dim%d' % (first_stack_dimension,
                                      first_stack_dimension + 1)
  
          self.qcbAxisSelection.addItem(icons.getQIcon("cube-front"), dim1dim2)
          self.qcbAxisSelection.addItem(icons.getQIcon("cube-bottom"), dim0dim2)
          self.qcbAxisSelection.addItem(icons.getQIcon("cube-left"), dim0dim1)
  
      def setFirstStackDimension(self, first_stack_dim):
          """When viewing the last 3 dimensions of an n-D array (n>3), you can
          use this method to change the text in the combobox.
  
          For instance, for a 7-D array, first stack dim is 4, so the default
          "Dim1-Dim2" text should be replaced with "Dim5-Dim6" (dimensions
          numbers are 0-based).
  
          :param int first_stack_dim: First stack dimension (n-3) when viewing the
              last 3 dimensions of an n-D array.
          """
          self._setCBChoices(first_stack_dim)
  
      def setPerspective(self, perspective):
          """Update the combobox selection.
  
            - slice plane Dim1-Dim2: perspective 0
            - slice plane Dim0-Dim2: perspective 1
            - slice plane Dim0-Dim1: perspective 2
  
          :param perspective: Orthogonal dimension number (0, 1, or 2)
          """
          self.qcbAxisSelection.setCurrentIndex(perspective)
  
  
  class StackViewMainWindow(StackView):
      """This class is a :class:`StackView` with a menu, an additional toolbar
      to set the plot limits, and a status bar to display the value and 3D
      index of the data samples hovered by the mouse cursor.
  
      :param QWidget parent: Parent widget, or None
      """
      def __init__(self, parent=None):
          self._dataInfo = None
          super(StackViewMainWindow, self).__init__(parent)
          self.setWindowFlags(qt.Qt.Window)
  
          # Add toolbars and status bar
          self.addToolBar(qt.Qt.BottomToolBarArea,
                          LimitsToolBar(plot=self._plot))
  
          self.statusBar()
  
          menu = self.menuBar().addMenu('File')
          menu.addAction(self._plot.getOutputToolBar().getSaveAction())
          menu.addAction(self._plot.getOutputToolBar().getPrintAction())
          menu.addSeparator()
          action = menu.addAction('Quit')
          action.triggered[bool].connect(qt.QApplication.instance().quit)
  
          menu = self.menuBar().addMenu('Edit')
          menu.addAction(self._plot.getOutputToolBar().getCopyAction())
          menu.addSeparator()
          menu.addAction(self._plot.getResetZoomAction())
          menu.addAction(self._plot.getColormapAction())
          menu.addAction(self.getColorBarAction())
  
          menu.addAction(actions.control.KeepAspectRatioAction(self._plot, self))
          menu.addAction(actions.control.YAxisInvertedAction(self._plot, self))
  
          menu = self.menuBar().addMenu('Profile')
          profileToolBar = self._profileToolBar
          menu.addAction(profileToolBar.hLineAction)
          menu.addAction(profileToolBar.vLineAction)
          menu.addAction(profileToolBar.lineAction)
          menu.addAction(profileToolBar.crossAction)
          menu.addSeparator()
          menu.addAction(profileToolBar._editor)
          menu.addSeparator()
          menu.addAction(profileToolBar.clearAction)
  
          # Connect to StackView's signal
          self.valueChanged.connect(self._statusBarSlot)
  
      def _statusBarSlot(self, x, y, value):
          """Update status bar with coordinates/value from plots."""
          # todo (after implementing calibration):
          #  - use floats for (x, y, z)
          #  - display both indices (dim0, dim1, dim2) and (x, y, z)
          msg = "Cursor out of range"
          if x is not None and y is not None:
              img_idx = self._browser.value()
  
              if self._perspective == 0:
                  dim0, dim1, dim2 = img_idx, int(y), int(x)
              elif self._perspective == 1:
                  dim0, dim1, dim2 = int(y), img_idx, int(x)
              elif self._perspective == 2:
                  dim0, dim1, dim2 = int(y), int(x), img_idx
  
              msg = 'Position: (%d, %d, %d)' % (dim0, dim1, dim2)
          if value is not None:
              msg += ', Value: %g' % value
          if self._dataInfo is not None:
              msg = self._dataInfo + ', ' + msg
  
          self.statusBar().showMessage(msg)
  
      def setStack(self, stack, *args, **kwargs):
          """Set the displayed stack.
  
          See :meth:`StackView.setStack` for details.
          """
          if hasattr(stack, 'dtype') and hasattr(stack, 'shape'):
              assert len(stack.shape) == 3
              nframes, height, width = stack.shape
              self._dataInfo = 'Data: %dx%dx%d (%s)' % (nframes, height, width,
                                                        str(stack.dtype))
              self.statusBar().showMessage(self._dataInfo)
          else:
              self._dataInfo = None
  
          # Set the new stack in StackView widget
          super(StackViewMainWindow, self).setStack(stack, *args, **kwargs)
          self.setStatusBar(None)
  