# /*##########################################################################
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"""This module defines a views used by :class:`silx.gui.data.DataViewer`.
"""

import logging
import numbers
import numpy
import os

import silx.io
from silx.gui import qt, icons
from silx.gui.data.TextFormatter import TextFormatter
from silx.io import nxdata
from silx.gui.hdf5 import H5Node
from silx.io.nxdata import get_attr_as_unicode
from silx.gui.colors import Colormap
from silx.gui.dialog.ColormapDialog import ColormapDialog
from silx.gui.plot.items.image import ImageDataAggregated
from silx.gui.plot.actions.image import AggregationModeAction

__authors__ = ["V. Valls", "P. Knobel"]
__license__ = "MIT"
__date__ = "19/02/2019"

_logger = logging.getLogger(__name__)


# DataViewer modes
EMPTY_MODE = 0
PLOT1D_MODE = 10
RECORD_PLOT_MODE = 15
IMAGE_MODE = 20
PLOT2D_MODE = 21
COMPLEX_IMAGE_MODE = 22
PLOT3D_MODE = 30
RAW_MODE = 40
RAW_ARRAY_MODE = 41
RAW_RECORD_MODE = 42
RAW_SCALAR_MODE = 43
RAW_HEXA_MODE = 44
STACK_MODE = 50
HDF5_MODE = 60
NXDATA_MODE = 70
NXDATA_INVALID_MODE = 71
NXDATA_SCALAR_MODE = 72
NXDATA_CURVE_MODE = 73
NXDATA_XYVSCATTER_MODE = 74
NXDATA_IMAGE_MODE = 75
NXDATA_STACK_MODE = 76
NXDATA_VOLUME_MODE = 77
NXDATA_VOLUME_AS_STACK_MODE = 78


def _normalizeData(data):
    """Returns a normalized data.

    If the data embed a numpy data or a dataset it is returned.
    Else returns the input data."""
    if isinstance(data, H5Node):
        if data.is_broken:
            return None
        return data.h5py_object
    return data


def _normalizeComplex(data):
    """Returns a normalized complex data.

    If the data is a numpy data with complex, returns the
    absolute value.
    Else returns the input data."""
    if hasattr(data, "dtype"):
        isComplex = numpy.issubdtype(data.dtype, numpy.complexfloating)
    else:
        isComplex = isinstance(data, numbers.Complex)
    if isComplex:
        data = numpy.absolute(data)
    return data


class DataInfo(object):
    """Store extracted information from a data"""

    def __init__(self, data):
        self.__priorities = {}
        data = self.normalizeData(data)
        self.isArray = False
        self.interpretation = None
        self.isNumeric = False
        self.isVoid = False
        self.isComplex = False
        self.isBoolean = False
        self.isRecord = False
        self.hasNXdata = False
        self.isInvalidNXdata = False
        self.countNumericColumns = 0
        self.shape = tuple()
        self.dim = 0
        self.size = 0

        if data is None:
            return

        if silx.io.is_group(data):
            nxd = nxdata.get_default(data)
            nx_class = get_attr_as_unicode(data, "NX_class")
            if nxd is not None:
                self.hasNXdata = True
                # can we plot it?
                is_scalar = nxd.signal_is_0d or nxd.interpretation in [
                    "scalar",
                    "scaler",
                ]
                if not (
                    is_scalar
                    or nxd.is_curve
                    or nxd.is_x_y_value_scatter
                    or nxd.is_image
                    or nxd.is_stack
                ):
                    # invalid: cannot be plotted by any widget
                    self.isInvalidNXdata = True
            elif nx_class == "NXdata":
                # group claiming to be NXdata could not be parsed
                self.isInvalidNXdata = True
            elif nx_class == "NXroot" or silx.io.is_file(data):
                # root claiming to have a default entry
                if "default" in data.attrs:
                    def_entry = data.attrs["default"]
                    if def_entry in data and "default" in data[def_entry].attrs:
                        # and entry claims to have default NXdata
                        self.isInvalidNXdata = True
            elif "default" in data.attrs:
                # group claiming to have a default NXdata could not be parsed
                self.isInvalidNXdata = True

        if isinstance(data, numpy.ndarray):
            self.isArray = True
        elif silx.io.is_dataset(data) and data.shape != tuple():
            self.isArray = True
        else:
            self.isArray = False

        if silx.io.is_dataset(data):
            if "interpretation" in data.attrs:
                self.interpretation = get_attr_as_unicode(data, "interpretation")
            else:
                self.interpretation = None
        elif self.hasNXdata:
            self.interpretation = nxd.interpretation
        else:
            self.interpretation = None

        if hasattr(data, "dtype"):
            if numpy.issubdtype(data.dtype, numpy.void):
                # That's a real opaque type, else it is a structured type
                self.isVoid = data.dtype.fields is None
            self.isNumeric = numpy.issubdtype(data.dtype, numpy.number)
            self.isRecord = data.dtype.fields is not None
            self.isComplex = numpy.issubdtype(data.dtype, numpy.complexfloating)
            self.isBoolean = numpy.issubdtype(data.dtype, numpy.bool_)
        elif self.hasNXdata:
            self.isNumeric = numpy.issubdtype(nxd.signal.dtype, numpy.number)
            self.isComplex = numpy.issubdtype(nxd.signal.dtype, numpy.complexfloating)
            self.isBoolean = numpy.issubdtype(nxd.signal.dtype, numpy.bool_)
        else:
            self.isNumeric = isinstance(data, numbers.Number)
            self.isComplex = isinstance(data, numbers.Complex)
            self.isBoolean = isinstance(data, bool)
            self.isRecord = False

        if hasattr(data, "shape"):
            self.shape = data.shape
        elif self.hasNXdata:
            self.shape = nxd.signal.shape
        else:
            self.shape = tuple()
        if self.shape is not None:
            self.dim = len(self.shape)

        if hasattr(data, "shape") and data.shape is None:
            # This test is expected to avoid to fall done on the h5py issue
            # https://github.com/h5py/h5py/issues/1044
            self.size = 0
        elif hasattr(data, "size"):
            self.size = int(data.size)
        else:
            self.size = 1

        if hasattr(data, "dtype"):
            if data.dtype.fields is not None:
                for field in data.dtype.fields:
                    if numpy.issubdtype(data.dtype[field], numpy.number):
                        self.countNumericColumns += 1

    def normalizeData(self, data):
        """Returns a normalized data if the embed a numpy or a dataset.
        Else returns the data."""
        return _normalizeData(data)

    def cachePriority(self, view, priority):
        self.__priorities[view] = priority

    def getPriority(self, view):
        return self.__priorities[view]


class DataViewHooks(object):
    """A set of hooks defined to custom the behaviour of the data views."""

    def getColormap(self, view):
        """Returns a colormap for this view."""
        return None

    def getColormapDialog(self, view):
        """Returns a color dialog for this view."""
        return None

    def viewWidgetCreated(self, view, plot):
        """Called when the widget of the view was created"""
        return


class DataView(object):
    """Holder for the data view."""

    UNSUPPORTED = -1
    """Priority returned when the requested data can't be displayed by the
    view."""

    TITLE_PATTERN = "{datapath}{slicing} {permuted}"
    """Pattern used to format the title of the plot.

    Supported fields: `{directory}`, `{filename}`, `{datapath}`, `{slicing}`, `{permuted}`.
    """

    def __init__(self, parent, modeId=None, icon=None, label=None):
        """Constructor

        :param qt.QWidget parent: Parent of the hold widget
        """
        self.__parent = parent
        self.__widget = None
        self.__modeId = modeId
        if label is None:
            label = self.__class__.__name__
        self.__label = label
        if icon is None:
            icon = qt.QIcon()
        self.__icon = icon
        self.__hooks = None

    def getHooks(self):
        """Returns the data viewer hooks used by this view.

        :rtype: DataViewHooks
        """
        return self.__hooks

    def setHooks(self, hooks):
        """Set the data view hooks to use with this view.

        :param DataViewHooks hooks: The data view hooks to use
        """
        self.__hooks = hooks

    def defaultColormap(self):
        """Returns a default colormap.

        :rtype: Colormap
        """
        colormap = None
        if self.__hooks is not None:
            colormap = self.__hooks.getColormap(self)
        if colormap is None:
            colormap = Colormap(name="viridis")
        return colormap

    def defaultColorDialog(self):
        """Returns a default color dialog.

        :rtype: ColormapDialog
        """
        dialog = None
        if self.__hooks is not None:
            dialog = self.__hooks.getColormapDialog(self)
        if dialog is None:
            dialog = ColormapDialog()
            dialog.setModal(False)
        return dialog

    def icon(self):
        """Returns the default icon"""
        return self.__icon

    def label(self):
        """Returns the default label"""
        return self.__label

    def modeId(self):
        """Returns the mode id"""
        return self.__modeId

    def normalizeData(self, data):
        """Returns a normalized data if the embed a numpy or a dataset.
        Else returns the data."""
        return _normalizeData(data)

    def customAxisNames(self):
        """Returns names of axes which can be custom by the user and provided
        to the view."""
        return []

    def setCustomAxisValue(self, name, value):
        """
        Set the value of a custom axis

        :param str name: Name of the custom axis
        :param int value: Value of the custom axis
        """
        pass

    def isWidgetInitialized(self):
        """Returns true if the widget is already initialized."""
        return self.__widget is not None

    def select(self):
        """Called when the view is selected to display the data."""
        return

    def getWidget(self):
        """Returns the widget hold in the view and displaying the data.

        :returns: qt.QWidget
        """
        if self.__widget is None:
            self.__widget = self.createWidget(self.__parent)
            hooks = self.getHooks()
            if hooks is not None:
                hooks.viewWidgetCreated(self, self.__widget)
        return self.__widget

    def createWidget(self, parent):
        """Create the the widget displaying the data

        :param qt.QWidget parent: Parent of the widget
        :returns: qt.QWidget
        """
        raise NotImplementedError()

    def clear(self):
        """Clear the data from the view"""
        return None

    def setData(self, data):
        """Set the data displayed by the view

        :param data: Data to display
        :type data: numpy.ndarray or h5py.Dataset
        """
        return None

    def __formatSlices(self, indices):
        """Format an iterable of slice objects

        :param indices: The slices to format
        :type indices: Union[None,List[Union[slice,int]]]
        :rtype: str
        """
        if indices is None:
            return ""

        def formatSlice(slice_):
            start, stop, step = slice_.start, slice_.stop, slice_.step
            string = ("" if start is None else str(start)) + ":"
            if stop is not None:
                string += str(stop)
            if step not in (None, 1):
                string += ":" + step
            return string

        return (
            "["
            + ", ".join(
                formatSlice(index) if isinstance(index, slice) else str(index)
                for index in indices
            )
            + "]"
        )

    def titleForSelection(self, selection):
        """Build title from given selection information.

        :param NamedTuple selection: Data selected
        :rtype: str
        """
        if selection is None or selection.filename is None:
            return None
        else:
            directory, filename = os.path.split(selection.filename)
            try:
                slicing = self.__formatSlices(selection.slice)
            except Exception:
                _logger.debug("Error while formatting slices", exc_info=True)
                slicing = "[sliced]"

            permuted = "(permuted)" if selection.permutation is not None else ""

            try:
                title = self.TITLE_PATTERN.format(
                    directory=directory,
                    filename=filename,
                    datapath=selection.datapath,
                    slicing=slicing,
                    permuted=permuted,
                )
            except Exception:
                _logger.debug("Error while formatting title", exc_info=True)
                title = selection.datapath + slicing

            return title

    def setDataSelection(self, selection):
        """Set the data selection displayed by the view

        If called, it have to be called directly after `setData`.

        :param selection: Data selected
        :type selection: NamedTuple
        """
        pass

    def axesNames(self, data, info):
        """Returns names of the expected axes of the view, according to the
        input data. A none value will disable the default axes selectior.

        :param data: Data to display
        :type data: numpy.ndarray or h5py.Dataset
        :param DataInfo info: Pre-computed information on the data
        :rtype: list[str] or None
        """
        return []

    def getReachableViews(self):
        """Returns the views that can be returned by `getMatchingViews`.

        :param object data: Any object to be displayed
        :param DataInfo info: Information cached about this data
        :rtype: List[DataView]
        """
        return [self]

    def getMatchingViews(self, data, info):
        """Returns the views according to data and info from the data.

        :param object data: Any object to be displayed
        :param DataInfo info: Information cached about this data
        :rtype: List[DataView]
        """
        priority = self.getCachedDataPriority(data, info)
        if priority == DataView.UNSUPPORTED:
            return []
        return [self]

    def getCachedDataPriority(self, data, info):
        try:
            priority = info.getPriority(self)
        except KeyError:
            priority = self.getDataPriority(data, info)
            info.cachePriority(self, priority)
        return priority

    def getDataPriority(self, data, info):
        """
        Returns the priority of using this view according to a data.

        - `UNSUPPORTED` means this view can't display this data
        - `1` means this view can display the data
        - `100` means this view should be used for this data
        - `1000` max value used by the views provided by silx
        - ...

        :param object data: The data to check
        :param DataInfo info: Pre-computed information on the data
        :rtype: int
        """
        return DataView.UNSUPPORTED

    def __lt__(self, other):
        return str(self) < str(other)


class _CompositeDataView(DataView):
    """Contains sub views"""

    def getViews(self):
        """Returns the direct sub views registered in this view.

        :rtype: List[DataView]
        """
        raise NotImplementedError()

    def getReachableViews(self):
        """Returns all views that can be reachable at on point.

        This method return any sub view provided (recursivly).

        :rtype: List[DataView]
        """
        raise NotImplementedError()

    def getMatchingViews(self, data, info):
        """Returns sub views matching this data and info.

        This method return any sub view provided (recursivly).

        :param object data: Any object to be displayed
        :param DataInfo info: Information cached about this data
        :rtype: List[DataView]
        """
        raise NotImplementedError()

    def isSupportedData(self, data, info):
        """If true, the composite view allow sub views to access to this data.
        Else this this data is considered as not supported by any of sub views
        (incliding this composite view).

        :param object data: Any object to be displayed
        :param DataInfo info: Information cached about this data
        :rtype: bool
        """
        return True


class SelectOneDataView(_CompositeDataView):
    """Data view which can display a data using different view according to
    the kind of the data."""

    def __init__(self, parent, modeId=None, icon=None, label=None):
        """Constructor

        :param qt.QWidget parent: Parent of the hold widget
        """
        super(SelectOneDataView, self).__init__(parent, modeId, icon, label)
        self.__views = {}
        self.__currentView = None

    def setHooks(self, hooks):
        """Set the data context to use with this view.

        :param DataViewHooks hooks: The data view hooks to use
        """
        super(SelectOneDataView, self).setHooks(hooks)
        if hooks is not None:
            for v in self.__views:
                v.setHooks(hooks)

    def addView(self, dataView):
        """Add a new dataview to the available list."""
        hooks = self.getHooks()
        if hooks is not None:
            dataView.setHooks(hooks)
        self.__views[dataView] = None

    def getReachableViews(self):
        views = []
        addSelf = False
        for v in self.__views:
            if isinstance(v, SelectManyDataView):
                views.extend(v.getReachableViews())
            else:
                addSelf = True
        if addSelf:
            # Single views are hidden by this view
            views.insert(0, self)
        return views

    def getMatchingViews(self, data, info):
        if not self.isSupportedData(data, info):
            return []
        view = self.__getBestView(data, info)
        if isinstance(view, SelectManyDataView):
            return view.getMatchingViews(data, info)
        else:
            return [self]

    def getViews(self):
        """Returns the list of registered views

        :rtype: List[DataView]
        """
        return list(self.__views.keys())

    def __getBestView(self, data, info):
        """Returns the best view according to priorities."""
        if not self.isSupportedData(data, info):
            return None
        views = [(v.getCachedDataPriority(data, info), v) for v in self.__views.keys()]
        views = filter(lambda t: t[0] > DataView.UNSUPPORTED, views)
        views = sorted(views, key=lambda t: t[0], reverse=True)

        if len(views) == 0:
            return None
        elif views[0][0] == DataView.UNSUPPORTED:
            return None
        else:
            return views[0][1]

    def customAxisNames(self):
        if self.__currentView is None:
            return
        return self.__currentView.customAxisNames()

    def setCustomAxisValue(self, name, value):
        if self.__currentView is None:
            return
        self.__currentView.setCustomAxisValue(name, value)

    def __updateDisplayedView(self):
        widget = self.getWidget()
        if self.__currentView is None:
            return

        # load the widget if it is not yet done
        index = self.__views[self.__currentView]
        if index is None:
            w = self.__currentView.getWidget()
            index = widget.addWidget(w)
            self.__views[self.__currentView] = index
        if widget.currentIndex() != index:
            widget.setCurrentIndex(index)
            self.__currentView.select()

    def select(self):
        self.__updateDisplayedView()
        if self.__currentView is not None:
            self.__currentView.select()

    def createWidget(self, parent):
        return qt.QStackedWidget()

    def clear(self):
        for v in self.__views.keys():
            v.clear()

    def setData(self, data):
        if self.__currentView is None:
            return
        self.__updateDisplayedView()
        self.__currentView.setData(data)

    def setDataSelection(self, selection):
        if self.__currentView is None:
            return
        self.__currentView.setDataSelection(selection)

    def axesNames(self, data, info):
        view = self.__getBestView(data, info)
        self.__currentView = view
        return view.axesNames(data, info)

    def getDataPriority(self, data, info):
        view = self.__getBestView(data, info)
        self.__currentView = view
        if view is None:
            return DataView.UNSUPPORTED
        else:
            return view.getCachedDataPriority(data, info)

    def replaceView(self, modeId, newView):
        """Replace a data view with a custom view.
        Return True in case of success, False in case of failure.

        .. note::

            This method must be called just after instantiation, before
            the viewer is used.

        :param int modeId: Unique mode ID identifying the DataView to
            be replaced.
        :param DataViews.DataView newView: New data view
        :return: True if replacement was successful, else False
        """
        oldView = None
        for view in self.__views:
            if view.modeId() == modeId:
                oldView = view
                break
            elif isinstance(view, _CompositeDataView):
                # recurse
                hooks = self.getHooks()
                if hooks is not None:
                    newView.setHooks(hooks)
                if view.replaceView(modeId, newView):
                    return True
        if oldView is None:
            return False

        # replace oldView with new view in dict
        self.__views = dict(
            (newView, None) if view is oldView else (view, idx)
            for view, idx in self.__views.items()
        )
        return True


# NOTE: SelectOneDataView was introduced with silx 0.10
CompositeDataView = SelectOneDataView


class SelectManyDataView(_CompositeDataView):
    """Data view which can select a set of sub views according to
    the kind of the data.

    This view itself is abstract and is not exposed.
    """

    def __init__(self, parent, views=None):
        """Constructor

        :param qt.QWidget parent: Parent of the hold widget
        """
        super(SelectManyDataView, self).__init__(
            parent, modeId=None, icon=None, label=None
        )
        if views is None:
            views = []
        self.__views = views

    def setHooks(self, hooks):
        """Set the data context to use with this view.

        :param DataViewHooks hooks: The data view hooks to use
        """
        super(SelectManyDataView, self).setHooks(hooks)
        if hooks is not None:
            for v in self.__views:
                v.setHooks(hooks)

    def addView(self, dataView):
        """Add a new dataview to the available list."""
        hooks = self.getHooks()
        if hooks is not None:
            dataView.setHooks(hooks)
        self.__views.append(dataView)

    def getViews(self):
        """Returns the list of registered views

        :rtype: List[DataView]
        """
        return list(self.__views)

    def getReachableViews(self):
        views = []
        for v in self.__views:
            views.extend(v.getReachableViews())
        return views

    def getMatchingViews(self, data, info):
        """Returns the views according to data and info from the data.

        :param object data: Any object to be displayed
        :param DataInfo info: Information cached about this data
        """
        if not self.isSupportedData(data, info):
            return []
        views = [
            v
            for v in self.__views
            if v.getCachedDataPriority(data, info) != DataView.UNSUPPORTED
        ]
        return views

    def customAxisNames(self):
        raise RuntimeError("Abstract view")

    def setCustomAxisValue(self, name, value):
        raise RuntimeError("Abstract view")

    def select(self):
        raise RuntimeError("Abstract view")

    def createWidget(self, parent):
        raise RuntimeError("Abstract view")

    def clear(self):
        for v in self.__views:
            v.clear()

    def setData(self, data):
        raise RuntimeError("Abstract view")

    def axesNames(self, data, info):
        raise RuntimeError("Abstract view")

    def getDataPriority(self, data, info):
        if not self.isSupportedData(data, info):
            return DataView.UNSUPPORTED
        priorities = [v.getCachedDataPriority(data, info) for v in self.__views]
        priorities = [v for v in priorities if v != DataView.UNSUPPORTED]
        priorities = sorted(priorities)
        if len(priorities) == 0:
            return DataView.UNSUPPORTED
        return priorities[-1]

    def replaceView(self, modeId, newView):
        """Replace a data view with a custom view.
        Return True in case of success, False in case of failure.

        .. note::

            This method must be called just after instantiation, before
            the viewer is used.

        :param int modeId: Unique mode ID identifying the DataView to
            be replaced.
        :param DataViews.DataView newView: New data view
        :return: True if replacement was successful, else False
        """
        oldView = None
        for iview, view in enumerate(self.__views):
            if view.modeId() == modeId:
                oldView = view
                break
            elif isinstance(view, CompositeDataView):
                # recurse
                hooks = self.getHooks()
                if hooks is not None:
                    newView.setHooks(hooks)
                if view.replaceView(modeId, newView):
                    return True

        if oldView is None:
            return False

        # replace oldView with new view in dict
        self.__views[iview] = newView
        return True


class _EmptyView(DataView):
    """Dummy view to display nothing"""

    def __init__(self, parent):
        DataView.__init__(self, parent, modeId=EMPTY_MODE)

    def axesNames(self, data, info):
        return None

    def createWidget(self, parent):
        return qt.QLabel(parent)

    def getDataPriority(self, data, info):
        return DataView.UNSUPPORTED


class _Plot1dView(DataView):
    """View displaying data using a 1d plot"""

    def __init__(self, parent):
        super(_Plot1dView, self).__init__(
            parent=parent,
            modeId=PLOT1D_MODE,
            label="Curve",
            icon=icons.getQIcon("view-1d"),
        )
        self.__resetZoomNextTime = True

    def createWidget(self, parent):
        from silx.gui import plot

        widget = plot.Plot1D(parent=parent)
        widget.setGraphGrid(True)
        return widget

    def clear(self):
        self.getWidget().clear()
        self.__resetZoomNextTime = True

    def normalizeData(self, data):
        data = DataView.normalizeData(self, data)
        data = _normalizeComplex(data)
        return data

    def setData(self, data):
        data = self.normalizeData(data)
        plotWidget = self.getWidget()
        legend = "data"
        plotWidget.addCurve(
            legend=legend,
            x=range(len(data)),
            y=data,
            resetzoom=self.__resetZoomNextTime,
        )
        plotWidget.setActiveCurve(legend)
        self.__resetZoomNextTime = True

    def setDataSelection(self, selection):
        self.getWidget().setGraphTitle(self.titleForSelection(selection))

    def axesNames(self, data, info):
        return ["y"]

    def getDataPriority(self, data, info):
        if info.size <= 0:
            return DataView.UNSUPPORTED
        if data is None or not info.isArray or not info.isNumeric:
            return DataView.UNSUPPORTED
        if info.dim < 1:
            return DataView.UNSUPPORTED
        if info.interpretation == "spectrum":
            return 1000
        if info.dim == 2 and info.shape[0] == 1:
            return 210
        if info.dim == 1:
            return 100
        else:
            return 10


class _Plot2dRecordView(DataView):
    def __init__(self, parent):
        super(_Plot2dRecordView, self).__init__(
            parent=parent,
            modeId=RECORD_PLOT_MODE,
            label="Curve",
            icon=icons.getQIcon("view-1d"),
        )
        self.__resetZoomNextTime = True
        self._data = None
        self._xAxisDropDown = None
        self._yAxisDropDown = None
        self.__fields = None

    def createWidget(self, parent):
        from ._RecordPlot import RecordPlot

        return RecordPlot(parent=parent)

    def clear(self):
        self.getWidget().clear()
        self.__resetZoomNextTime = True

    def normalizeData(self, data):
        data = DataView.normalizeData(self, data)
        data = _normalizeComplex(data)
        return data

    def setData(self, data):
        self._data = self.normalizeData(data)

        all_fields = sorted(self._data.dtype.fields.items(), key=lambda e: e[1][1])
        numeric_fields = [
            f[0] for f in all_fields if numpy.issubdtype(f[1][0], numpy.number)
        ]
        if numeric_fields == self.__fields:  # Reuse previously selected fields
            fieldNameX = self.getWidget().getXAxisFieldName()
            fieldNameY = self.getWidget().getYAxisFieldName()
        else:
            self.__fields = numeric_fields

            self.getWidget().setSelectableXAxisFieldNames(numeric_fields)
            self.getWidget().setSelectableYAxisFieldNames(numeric_fields)
            fieldNameX = None
            fieldNameY = numeric_fields[0]

            # If there is a field called time, use it for the x-axis by default
            if "time" in numeric_fields:
                fieldNameX = "time"
            # Use the first field that is not "time" for the y-axis
            if fieldNameY == "time" and len(numeric_fields) >= 2:
                fieldNameY = numeric_fields[1]

        self._plotData(fieldNameX, fieldNameY)

        if not self._xAxisDropDown:
            self._xAxisDropDown = (
                self.getWidget().getAxesSelectionToolBar().getXAxisDropDown()
            )
            self._yAxisDropDown = (
                self.getWidget().getAxesSelectionToolBar().getYAxisDropDown()
            )
            self._xAxisDropDown.activated.connect(self._onAxesSelectionChaned)
            self._yAxisDropDown.activated.connect(self._onAxesSelectionChaned)

    def setDataSelection(self, selection):
        self.getWidget().setGraphTitle(self.titleForSelection(selection))

    def _onAxesSelectionChaned(self):
        fieldNameX = self._xAxisDropDown.currentData()
        self._plotData(fieldNameX, self._yAxisDropDown.currentText())

    def _plotData(self, fieldNameX, fieldNameY):
        self.clear()
        ydata = self._data[fieldNameY]
        if fieldNameX is None:
            xdata = numpy.arange(len(ydata))
        else:
            xdata = self._data[fieldNameX]
        self.getWidget().addCurve(
            legend="data", x=xdata, y=ydata, resetzoom=self.__resetZoomNextTime
        )
        self.getWidget().setXAxisFieldName(fieldNameX)
        self.getWidget().setYAxisFieldName(fieldNameY)
        self.__resetZoomNextTime = True

    def axesNames(self, data, info):
        return ["data"]

    def getDataPriority(self, data, info):
        if info.size <= 0:
            return DataView.UNSUPPORTED
        if data is None or not info.isRecord:
            return DataView.UNSUPPORTED
        if info.dim < 1:
            return DataView.UNSUPPORTED
        if info.countNumericColumns < 2:
            return DataView.UNSUPPORTED
        if info.interpretation == "spectrum":
            return 1000
        if info.dim == 2 and info.shape[0] == 1:
            return 210
        if info.dim == 1:
            return 40
        else:
            return 10


class _Plot2dView(DataView):
    """View displaying data using a 2d plot"""

    def __init__(self, parent):
        super(_Plot2dView, self).__init__(
            parent=parent,
            modeId=PLOT2D_MODE,
            label="Image",
            icon=icons.getQIcon("view-2d"),
        )
        self.__resetZoomNextTime = True

    def createWidget(self, parent):
        from silx.gui import plot

        widget = plot.Plot2D(parent=parent)
        widget.setDefaultColormap(self.defaultColormap())
        widget.getColormapAction().setColormapDialog(self.defaultColorDialog())
        widget.getIntensityHistogramAction().setVisible(True)

        self.__aggregationModeAction = AggregationModeAction(parent=widget)
        widget.toolBar().addAction(self.__aggregationModeAction)
        self.__aggregationModeAction.sigAggregationModeChanged.connect(self._aggregationModeChanged)

        self.__imageItem = ImageDataAggregated()
        self.__imageItem.setAggregationMode(self.__aggregationModeAction.getAggregationMode())
        self.__imageItem.setName("data")
        self.__imageItem.setColormap(widget.getDefaultColormap())
        widget.addItem(self.__imageItem)
        widget.setActiveImage(self.__imageItem)

        widget.setKeepDataAspectRatio(True)
        widget.getXAxis().setLabel("X")
        widget.getYAxis().setLabel("Y")
        maskToolsWidget = widget.getMaskToolsDockWidget().widget()
        maskToolsWidget.setItemMaskUpdated(True)
        return widget

    def _aggregationModeChanged(self):
        self.__imageItem.setAggregationMode(self.__aggregationModeAction.getAggregationMode())

    def clear(self):
        self.__imageItem.setData(numpy.zeros((0, 0), dtype=numpy.float32))
        self.__resetZoomNextTime = True

    def normalizeData(self, data):
        data = DataView.normalizeData(self, data)
        data = _normalizeComplex(data)
        return data

    def setData(self, data):
        data = self.normalizeData(data)
        plot = self.getWidget()

        self.__imageItem.setData(data=data)
        if self.__resetZoomNextTime:
            plot.resetZoom()
        self.__resetZoomNextTime = False

    def setDataSelection(self, selection):
        self.getWidget().setGraphTitle(self.titleForSelection(selection))

    def axesNames(self, data, info):
        return ["y", "x"]

    def getDataPriority(self, data, info):
        if info.size <= 0:
            return DataView.UNSUPPORTED
        if data is None or not info.isArray or not (info.isNumeric or info.isBoolean):
            return DataView.UNSUPPORTED
        if info.dim < 2:
            return DataView.UNSUPPORTED
        if info.interpretation == "image":
            return 1000
        if info.dim == 2:
            return 200
        else:
            return 190


class _Plot3dView(DataView):
    """View displaying data using a 3d plot"""

    def __init__(self, parent):
        super(_Plot3dView, self).__init__(
            parent=parent,
            modeId=PLOT3D_MODE,
            label="Cube",
            icon=icons.getQIcon("view-3d"),
        )
        try:
            from ._VolumeWindow import VolumeWindow  # noqa
        except ImportError:
            _logger.warning("3D visualization is not available")
            _logger.debug("Backtrace", exc_info=True)
            raise
        self.__resetZoomNextTime = True

    def createWidget(self, parent):
        from ._VolumeWindow import VolumeWindow

        plot = VolumeWindow(parent)
        plot.setAxesLabels(*reversed(self.axesNames(None, None)))
        return plot

    def clear(self):
        self.getWidget().clear()
        self.__resetZoomNextTime = True

    def setData(self, data):
        data = self.normalizeData(data)
        self.getWidget().setData(data)
        self.__resetZoomNextTime = False

    def axesNames(self, data, info):
        return ["z", "y", "x"]

    def getDataPriority(self, data, info):
        if info.size <= 0:
            return DataView.UNSUPPORTED
        if data is None or not info.isArray or not info.isNumeric:
            return DataView.UNSUPPORTED
        if info.dim < 3:
            return DataView.UNSUPPORTED
        if min(data.shape) < 2:
            return DataView.UNSUPPORTED
        if info.dim == 3:
            return 100
        else:
            return 10


class _ComplexImageView(DataView):
    """View displaying data using a ComplexImageView"""

    def __init__(self, parent):
        super(_ComplexImageView, self).__init__(
            parent=parent,
            modeId=COMPLEX_IMAGE_MODE,
            label="Complex Image",
            icon=icons.getQIcon("view-2d"),
        )

    def createWidget(self, parent):
        from silx.gui.plot.ComplexImageView import ComplexImageView

        widget = ComplexImageView(parent=parent)
        widget.setColormap(
            self.defaultColormap(), mode=ComplexImageView.ComplexMode.ABSOLUTE
        )
        widget.setColormap(
            self.defaultColormap(), mode=ComplexImageView.ComplexMode.SQUARE_AMPLITUDE
        )
        widget.setColormap(
            self.defaultColormap(), mode=ComplexImageView.ComplexMode.REAL
        )
        widget.setColormap(
            self.defaultColormap(), mode=ComplexImageView.ComplexMode.IMAGINARY
        )
        widget.getPlot().getColormapAction().setColormapDialog(
            self.defaultColorDialog()
        )
        widget.getPlot().getIntensityHistogramAction().setVisible(True)
        widget.getPlot().setKeepDataAspectRatio(True)
        widget.getXAxis().setLabel("X")
        widget.getYAxis().setLabel("Y")
        maskToolsWidget = widget.getPlot().getMaskToolsDockWidget().widget()
        maskToolsWidget.setItemMaskUpdated(True)
        return widget

    def clear(self):
        self.getWidget().setData(None)

    def normalizeData(self, data):
        data = DataView.normalizeData(self, data)
        return data

    def setData(self, data):
        data = self.normalizeData(data)
        self.getWidget().setData(data)

    def setDataSelection(self, selection):
        self.getWidget().getPlot().setGraphTitle(self.titleForSelection(selection))

    def axesNames(self, data, info):
        return ["y", "x"]

    def getDataPriority(self, data, info):
        if info.size <= 0:
            return DataView.UNSUPPORTED
        if data is None or not info.isArray or not info.isComplex:
            return DataView.UNSUPPORTED
        if info.dim < 2:
            return DataView.UNSUPPORTED
        if info.interpretation == "image":
            return 1000
        if info.dim == 2:
            return 200
        else:
            return 190


class _ArrayView(DataView):
    """View displaying data using a 2d table"""

    def __init__(self, parent):
        DataView.__init__(self, parent, modeId=RAW_ARRAY_MODE)

    def createWidget(self, parent):
        from silx.gui.data.ArrayTableWidget import ArrayTableWidget

        widget = ArrayTableWidget(parent)
        widget.displayAxesSelector(False)
        return widget

    def clear(self):
        self.getWidget().setArrayData(numpy.array([[]]))

    def setData(self, data):
        data = self.normalizeData(data)
        self.getWidget().setArrayData(data)

    def axesNames(self, data, info):
        return ["col", "row"]

    def getDataPriority(self, data, info):
        if info.size <= 0:
            return DataView.UNSUPPORTED
        if data is None or not info.isArray or info.isRecord:
            return DataView.UNSUPPORTED
        if info.dim < 2:
            return DataView.UNSUPPORTED
        if info.interpretation in ["scalar", "scaler"]:
            return 1000
        return 500


class _StackView(DataView):
    """View displaying data using a stack of images"""

    def __init__(self, parent):
        super(_StackView, self).__init__(
            parent=parent,
            modeId=STACK_MODE,
            label="Image stack",
            icon=icons.getQIcon("view-2d-stack"),
        )
        self.__resetZoomNextTime = True

    def customAxisNames(self):
        return ["depth"]

    def setCustomAxisValue(self, name, value):
        if name == "depth":
            self.getWidget().setFrameNumber(value)
        else:
            raise Exception("Unsupported axis")

    def createWidget(self, parent):
        from silx.gui import plot

        widget = plot.StackView(parent=parent)
        widget.setColormap(self.defaultColormap())
        widget.getPlotWidget().getColormapAction().setColormapDialog(
            self.defaultColorDialog()
        )
        widget.setKeepDataAspectRatio(True)
        widget.setLabels(self.axesNames(None, None))
        # hide default option panel
        widget.setOptionVisible(False)
        maskToolWidget = widget.getPlotWidget().getMaskToolsDockWidget().widget()
        maskToolWidget.setItemMaskUpdated(True)
        return widget

    def clear(self):
        self.getWidget().clear()
        self.__resetZoomNextTime = True

    def normalizeData(self, data):
        data = DataView.normalizeData(self, data)
        data = _normalizeComplex(data)
        return data

    def setData(self, data):
        data = self.normalizeData(data)
        self.getWidget().setStack(stack=data, reset=self.__resetZoomNextTime)
        # Override the colormap, while setStack overwrite it
        self.getWidget().setColormap(self.defaultColormap())
        self.__resetZoomNextTime = False

    def setDataSelection(self, selection):
        title = self.titleForSelection(selection)
        self.getWidget().setTitleCallback(lambda idx: "%s z=%d" % (title, idx))

    def axesNames(self, data, info):
        return ["depth", "y", "x"]

    def getDataPriority(self, data, info):
        if info.size <= 0:
            return DataView.UNSUPPORTED
        if data is None or not info.isArray or not info.isNumeric:
            return DataView.UNSUPPORTED
        if info.dim < 3:
            return DataView.UNSUPPORTED
        if info.interpretation == "image":
            return 500
        return 90


class _ScalarView(DataView):
    """View displaying data using text"""

    def __init__(self, parent):
        DataView.__init__(self, parent, modeId=RAW_SCALAR_MODE)

    def createWidget(self, parent):
        widget = qt.QTextEdit(parent)
        widget.setTextInteractionFlags(qt.Qt.TextSelectableByMouse)
        widget.setAlignment(qt.Qt.AlignLeft | qt.Qt.AlignTop)
        self.__formatter = TextFormatter(parent)
        return widget

    def clear(self):
        self.getWidget().setText("")

    def setData(self, data):
        d = self.normalizeData(data)
        if silx.io.is_dataset(d):
            d = d[()]
        dtype = None
        if data is not None:
            if hasattr(data, "dtype"):
                dtype = data.dtype
        text = self.__formatter.toString(d, dtype)
        self.getWidget().setText(text)

    def axesNames(self, data, info):
        return []

    def getDataPriority(self, data, info):
        if info.size <= 0:
            return DataView.UNSUPPORTED
        data = self.normalizeData(data)
        if info.shape is None:
            return DataView.UNSUPPORTED
        if data is None:
            return DataView.UNSUPPORTED
        if silx.io.is_group(data):
            return DataView.UNSUPPORTED
        return 2


class _RecordView(DataView):
    """View displaying data using text"""

    def __init__(self, parent):
        DataView.__init__(self, parent, modeId=RAW_RECORD_MODE)

    def createWidget(self, parent):
        from .RecordTableView import RecordTableView

        widget = RecordTableView(parent)
        widget.setWordWrap(False)
        return widget

    def clear(self):
        self.getWidget().setArrayData(None)

    def setData(self, data):
        data = self.normalizeData(data)
        widget = self.getWidget()
        widget.setArrayData(data)
        if len(data) < 100:
            widget.resizeRowsToContents()
            widget.resizeColumnsToContents()

    def axesNames(self, data, info):
        return ["data"]

    def getDataPriority(self, data, info):
        if info.size <= 0:
            return DataView.UNSUPPORTED
        if info.isRecord:
            return 40
        if data is None or not info.isArray:
            return DataView.UNSUPPORTED
        if info.dim == 1:
            if info.interpretation in ["scalar", "scaler"]:
                return 1000
            if info.shape[0] == 1:
                return 510
            return 500
        elif info.isRecord:
            return 40
        return DataView.UNSUPPORTED


class _HexaView(DataView):
    """View displaying data using text"""

    def __init__(self, parent):
        DataView.__init__(self, parent, modeId=RAW_HEXA_MODE)

    def createWidget(self, parent):
        from .HexaTableView import HexaTableView

        widget = HexaTableView(parent)
        return widget

    def clear(self):
        self.getWidget().setArrayData(None)

    def setData(self, data):
        data = self.normalizeData(data)
        widget = self.getWidget()
        widget.setArrayData(data)

    def axesNames(self, data, info):
        return []

    def getDataPriority(self, data, info):
        if info.size <= 0:
            return DataView.UNSUPPORTED
        if info.isVoid:
            return 2000
        return DataView.UNSUPPORTED


class _Hdf5View(DataView):
    """View displaying data using text"""

    def __init__(self, parent):
        super(_Hdf5View, self).__init__(
            parent=parent,
            modeId=HDF5_MODE,
            label="HDF5",
            icon=icons.getQIcon("view-hdf5"),
        )

    def createWidget(self, parent):
        from .Hdf5TableView import Hdf5TableView

        widget = Hdf5TableView(parent)
        return widget

    def clear(self):
        widget = self.getWidget()
        widget.setData(None)

    def setData(self, data):
        widget = self.getWidget()
        widget.setData(data)

    def axesNames(self, data, info):
        return None

    def getDataPriority(self, data, info):
        widget = self.getWidget()
        if widget.isSupportedData(data):
            return 1
        else:
            return DataView.UNSUPPORTED


class _RawView(CompositeDataView):
    """View displaying data as raw data.

    This implementation use a 2d-array view, or a record array view, or a
    raw text output.
    """

    def __init__(self, parent):
        super(_RawView, self).__init__(
            parent=parent, modeId=RAW_MODE, label="Raw", icon=icons.getQIcon("view-raw")
        )
        self.addView(_HexaView(parent))
        self.addView(_ScalarView(parent))
        self.addView(_ArrayView(parent))
        self.addView(_RecordView(parent))


class _ImageView(CompositeDataView):
    """View displaying data as 2D image

    It choose between Plot2D and ComplexImageView widgets
    """

    def __init__(self, parent):
        super(_ImageView, self).__init__(
            parent=parent,
            modeId=IMAGE_MODE,
            label="Image",
            icon=icons.getQIcon("view-2d"),
        )
        self.addView(_ComplexImageView(parent))
        self.addView(_Plot2dView(parent))


class _InvalidNXdataView(DataView):
    """DataView showing a simple label with an error message
    to inform that a group with @NX_class=NXdata cannot be
    interpreted by any NXDataview."""

    def __init__(self, parent):
        DataView.__init__(self, parent, modeId=NXDATA_INVALID_MODE)
        self._msg = ""

    def createWidget(self, parent):
        widget = qt.QLabel(parent)
        widget.setWordWrap(True)
        widget.setStyleSheet("QLabel { color : red; }")
        return widget

    def axesNames(self, data, info):
        return []

    def clear(self):
        self.getWidget().setText("")

    def setData(self, data):
        self.getWidget().setText(self._msg)

    def getDataPriority(self, data, info):
        data = self.normalizeData(data)

        if not info.isInvalidNXdata:
            return DataView.UNSUPPORTED

        if info.hasNXdata:
            self._msg = "NXdata seems valid, but cannot be displayed "
            self._msg += "by any existing plot widget."
        else:
            nx_class = get_attr_as_unicode(data, "NX_class")
            if nx_class == "NXdata":
                # invalid: could not even be parsed by NXdata
                self._msg = "Group has @NX_class = NXdata, but could not be interpreted"
                self._msg += " as valid NXdata."
            elif nx_class == "NXroot" or silx.io.is_file(data):
                default_entry = data[data.attrs["default"]]
                default_nxdata_name = default_entry.attrs["default"]
                self._msg = "NXroot group provides a @default attribute "
                self._msg += "pointing to a NXentry which defines its own "
                self._msg += "@default attribute, "
                if default_nxdata_name not in default_entry:
                    self._msg += " but no corresponding NXdata group exists."
                elif (
                    get_attr_as_unicode(default_entry[default_nxdata_name], "NX_class")
                    != "NXdata"
                ):
                    self._msg += " but the corresponding item is not a "
                    self._msg += "NXdata group."
                else:
                    self._msg += " but the corresponding NXdata seems to be"
                    self._msg += " malformed."
            else:
                self._msg = "Group provides a @default attribute,"
                default_nxdata_name = data.attrs["default"]
                if default_nxdata_name not in data:
                    self._msg += " but no corresponding NXdata group exists."
                elif (
                    get_attr_as_unicode(data[default_nxdata_name], "NX_class")
                    != "NXdata"
                ):
                    self._msg += " but the corresponding item is not a "
                    self._msg += "NXdata group."
                else:
                    self._msg += " but the corresponding NXdata seems to be"
                    self._msg += " malformed."
        return 100


class _NXdataBaseDataView(DataView):
    """Base class for NXdata DataView"""

    def __init__(self, *args, **kwargs):
        DataView.__init__(self, *args, **kwargs)

    def _updateColormap(self, nxdata):
        """Update used colormap according to nxdata's SILX_style"""
        cmap_norm = nxdata.plot_style.signal_scale_type
        if cmap_norm is not None:
            self.defaultColormap().setNormalization(
                "log" if cmap_norm == "log" else "linear"
            )


class _NXdataScalarView(_NXdataBaseDataView):
    """DataView using a table view for displaying NXdata scalars:
    0-D signal or n-D signal with *@interpretation=scalar*"""

    def __init__(self, parent):
        _NXdataBaseDataView.__init__(self, parent, modeId=NXDATA_SCALAR_MODE)

    def createWidget(self, parent):
        from silx.gui.data.ArrayTableWidget import ArrayTableWidget

        widget = ArrayTableWidget(parent)
        # widget.displayAxesSelector(False)
        return widget

    def axesNames(self, data, info):
        return ["col", "row"]

    def clear(self):
        self.getWidget().setArrayData(numpy.array([[]]), labels=True)

    def setData(self, data):
        data = self.normalizeData(data)
        # data could be a NXdata or an NXentry
        nxd = nxdata.get_default(data, validate=False)
        signal = nxd.signal
        self.getWidget().setArrayData(signal, labels=True)

    def getDataPriority(self, data, info):
        data = self.normalizeData(data)

        if info.hasNXdata and not info.isInvalidNXdata:
            nxd = nxdata.get_default(data, validate=False)
            if nxd.signal_is_0d or nxd.interpretation in ["scalar", "scaler"]:
                return 100
        return DataView.UNSUPPORTED


class _NXdataCurveView(_NXdataBaseDataView):
    """DataView using a Plot1D for displaying NXdata curves:
    1-D signal or n-D signal with *@interpretation=spectrum*.

    It also handles basic scatter plots:
    a 1-D signal with one axis whose values are not monotonically increasing.
    """

    def __init__(self, parent):
        _NXdataBaseDataView.__init__(self, parent, modeId=NXDATA_CURVE_MODE)

    def createWidget(self, parent):
        from silx.gui.data.NXdataWidgets import ArrayCurvePlot

        widget = ArrayCurvePlot(parent)
        return widget

    def axesNames(self, data, info):
        # disabled (used by default axis selector widget in Hdf5Viewer)
        return None

    def clear(self):
        self.getWidget().clear()

    def setData(self, data):
        data = self.normalizeData(data)
        nxd = nxdata.get_default(data, validate=False)
        signals_names = [nxd.signal_name] + nxd.auxiliary_signals_names
        if nxd.axes_dataset_names[-1] is not None:
            x_errors = nxd.get_axis_errors(nxd.axes_dataset_names[-1])
        else:
            x_errors = None

        self.getWidget().setCurvesData(
            [nxd.signal] + nxd.auxiliary_signals,
            nxd.axes[-1],
            yerror=nxd.errors,
            xerror=x_errors,
            ylabels=signals_names,
            xlabel=nxd.axes_names[-1],
            title=nxd.title or signals_names[0],
            xscale=nxd.plot_style.axes_scale_types[-1],
            yscale=nxd.plot_style.signal_scale_type,
        )

    def getDataPriority(self, data, info):
        data = self.normalizeData(data)
        if info.hasNXdata and not info.isInvalidNXdata:
            if nxdata.get_default(data, validate=False).is_curve:
                return 100
        return DataView.UNSUPPORTED


class _NXdataXYVScatterView(_NXdataBaseDataView):
    """DataView using a Plot1D for displaying NXdata 3D scatters as
    a scatter of coloured points (1-D signal with 2 axes)"""

    def __init__(self, parent):
        _NXdataBaseDataView.__init__(self, parent, modeId=NXDATA_XYVSCATTER_MODE)

    def createWidget(self, parent):
        from silx.gui.data.NXdataWidgets import XYVScatterPlot

        widget = XYVScatterPlot(parent)
        widget.getScatterView().setColormap(self.defaultColormap())
        widget.getScatterView().getScatterToolBar().getColormapAction().setColormapDialog(
            self.defaultColorDialog()
        )
        return widget

    def axesNames(self, data, info):
        # disabled (used by default axis selector widget in Hdf5Viewer)
        return None

    def clear(self):
        self.getWidget().clear()

    def setData(self, data):
        data = self.normalizeData(data)
        nxd = nxdata.get_default(data, validate=False)

        x_axis, y_axis = nxd.axes[-2:]
        if x_axis is None:
            x_axis = numpy.arange(nxd.signal.size)
        if y_axis is None:
            y_axis = numpy.arange(nxd.signal.size)

        x_label, y_label = nxd.axes_names[-2:]
        if x_label is not None:
            x_errors = nxd.get_axis_errors(x_label)
        else:
            x_errors = None

        if y_label is not None:
            y_errors = nxd.get_axis_errors(y_label)
        else:
            y_errors = None

        self._updateColormap(nxd)

        self.getWidget().setScattersData(
            y_axis,
            x_axis,
            values=[nxd.signal] + nxd.auxiliary_signals,
            yerror=y_errors,
            xerror=x_errors,
            ylabel=y_label,
            xlabel=x_label,
            title=nxd.title,
            scatter_titles=[nxd.signal_name] + nxd.auxiliary_signals_names,
            xscale=nxd.plot_style.axes_scale_types[-2],
            yscale=nxd.plot_style.axes_scale_types[-1],
        )

    def getDataPriority(self, data, info):
        data = self.normalizeData(data)
        if info.hasNXdata and not info.isInvalidNXdata:
            if nxdata.get_default(data, validate=False).is_x_y_value_scatter:
                # It have to be a little more than a NX curve priority
                return 110

        return DataView.UNSUPPORTED


class _NXdataImageView(_NXdataBaseDataView):
    """DataView using a Plot2D for displaying NXdata images:
    2-D signal or n-D signals with *@interpretation=image*."""

    def __init__(self, parent):
        _NXdataBaseDataView.__init__(self, parent, modeId=NXDATA_IMAGE_MODE)

    def createWidget(self, parent):
        from silx.gui.data.NXdataWidgets import ArrayImagePlot

        widget = ArrayImagePlot(parent)
        widget.getPlot().setDefaultColormap(self.defaultColormap())
        widget.getPlot().getColormapAction().setColormapDialog(
            self.defaultColorDialog()
        )
        return widget

    def axesNames(self, data, info):
        # disabled (used by default axis selector widget in Hdf5Viewer)
        return None

    def clear(self):
        self.getWidget().clear()

    def setData(self, data):
        data = self.normalizeData(data)
        nxd = nxdata.get_default(data, validate=False)
        isRgba = nxd.interpretation == "rgba-image"

        self._updateColormap(nxd)

        # last two axes are Y & X
        img_slicing = slice(-2, None) if not isRgba else slice(-3, -1)
        y_axis, x_axis = nxd.axes[img_slicing]
        y_label, x_label = nxd.axes_names[img_slicing]
        y_scale, x_scale = nxd.plot_style.axes_scale_types[img_slicing]
        x_units = get_attr_as_unicode(x_axis, "units") if x_axis else None
        y_units = get_attr_as_unicode(y_axis, "units") if y_axis else None

        self.getWidget().setImageData(
            [nxd.signal] + nxd.auxiliary_signals,
            x_axis=x_axis,
            y_axis=y_axis,
            signals_names=[nxd.signal_name] + nxd.auxiliary_signals_names,
            xlabel=x_label,
            ylabel=y_label,
            title=nxd.title,
            isRgba=isRgba,
            xscale=x_scale,
            yscale=y_scale,
            keep_ratio=(x_units == y_units),
        )

    def getDataPriority(self, data, info):
        data = self.normalizeData(data)

        if info.hasNXdata and not info.isInvalidNXdata:
            if nxdata.get_default(data, validate=False).is_image:
                return 100

        return DataView.UNSUPPORTED


class _NXdataComplexImageView(_NXdataBaseDataView):
    """DataView using a ComplexImageView for displaying NXdata complex images:
    2-D signal or n-D signals with *@interpretation=image*."""

    def __init__(self, parent):
        _NXdataBaseDataView.__init__(self, parent, modeId=NXDATA_IMAGE_MODE)

    def createWidget(self, parent):
        from silx.gui.data.NXdataWidgets import ArrayComplexImagePlot

        widget = ArrayComplexImagePlot(parent, colormap=self.defaultColormap())
        widget.getPlot().getColormapAction().setColormapDialog(
            self.defaultColorDialog()
        )
        return widget

    def clear(self):
        self.getWidget().clear()

    def setData(self, data):
        data = self.normalizeData(data)
        nxd = nxdata.get_default(data, validate=False)

        self._updateColormap(nxd)

        # last two axes are Y & X
        img_slicing = slice(-2, None)
        y_axis, x_axis = nxd.axes[img_slicing]
        y_label, x_label = nxd.axes_names[img_slicing]
        x_units = get_attr_as_unicode(x_axis, "units") if x_axis else None
        y_units = get_attr_as_unicode(y_axis, "units") if y_axis else None

        self.getWidget().setImageData(
            [nxd.signal] + nxd.auxiliary_signals,
            x_axis=x_axis,
            y_axis=y_axis,
            signals_names=[nxd.signal_name] + nxd.auxiliary_signals_names,
            xlabel=x_label,
            ylabel=y_label,
            title=nxd.title,
            keep_ratio=(x_units == y_units),
        )

    def axesNames(self, data, info):
        # disabled (used by default axis selector widget in Hdf5Viewer)
        return None

    def getDataPriority(self, data, info):
        data = self.normalizeData(data)

        if info.hasNXdata and not info.isInvalidNXdata:
            nxd = nxdata.get_default(data, validate=False)
            if nxd.is_image and numpy.iscomplexobj(nxd.signal):
                return 100

        return DataView.UNSUPPORTED


class _NXdataStackView(_NXdataBaseDataView):
    def __init__(self, parent):
        _NXdataBaseDataView.__init__(self, parent, modeId=NXDATA_STACK_MODE)

    def createWidget(self, parent):
        from silx.gui.data.NXdataWidgets import ArrayStackPlot

        widget = ArrayStackPlot(parent)
        widget.getStackView().setColormap(self.defaultColormap())
        widget.getStackView().getPlotWidget().getColormapAction().setColormapDialog(
            self.defaultColorDialog()
        )
        return widget

    def axesNames(self, data, info):
        # disabled (used by default axis selector widget in Hdf5Viewer)
        return None

    def clear(self):
        self.getWidget().clear()

    def setData(self, data):
        data = self.normalizeData(data)
        nxd = nxdata.get_default(data, validate=False)
        signal_name = nxd.signal_name
        z_axis, y_axis, x_axis = nxd.axes[-3:]
        z_label, y_label, x_label = nxd.axes_names[-3:]
        title = nxd.title or signal_name

        self._updateColormap(nxd)

        widget = self.getWidget()
        widget.setStackData(
            nxd.signal,
            x_axis=x_axis,
            y_axis=y_axis,
            z_axis=z_axis,
            signal_name=signal_name,
            xlabel=x_label,
            ylabel=y_label,
            zlabel=z_label,
            title=title,
        )
        # Override the colormap, while setStack overwrite it
        widget.getStackView().setColormap(self.defaultColormap())

    def getDataPriority(self, data, info):
        data = self.normalizeData(data)
        if info.hasNXdata and not info.isInvalidNXdata:
            if nxdata.get_default(data, validate=False).is_stack:
                return 100

        return DataView.UNSUPPORTED


class _NXdataVolumeView(_NXdataBaseDataView):
    def __init__(self, parent):
        _NXdataBaseDataView.__init__(
            self,
            parent,
            label="NXdata (3D)",
            icon=icons.getQIcon("view-nexus"),
            modeId=NXDATA_VOLUME_MODE,
        )
        try:
            import silx.gui.plot3d  # noqa
        except ImportError:
            _logger.warning("Plot3dView is not available")
            _logger.debug("Backtrace", exc_info=True)
            raise

    def normalizeData(self, data):
        data = super(_NXdataVolumeView, self).normalizeData(data)
        data = _normalizeComplex(data)
        return data

    def createWidget(self, parent):
        from silx.gui.data.NXdataWidgets import ArrayVolumePlot

        widget = ArrayVolumePlot(parent)
        return widget

    def axesNames(self, data, info):
        # disabled (used by default axis selector widget in Hdf5Viewer)
        return None

    def clear(self):
        self.getWidget().clear()

    def setData(self, data):
        data = self.normalizeData(data)
        nxd = nxdata.get_default(data, validate=False)
        signal_name = nxd.signal_name
        z_axis, y_axis, x_axis = nxd.axes[-3:]
        z_label, y_label, x_label = nxd.axes_names[-3:]
        title = nxd.title or signal_name

        widget = self.getWidget()
        widget.setData(
            nxd.signal,
            x_axis=x_axis,
            y_axis=y_axis,
            z_axis=z_axis,
            signal_name=signal_name,
            xlabel=x_label,
            ylabel=y_label,
            zlabel=z_label,
            title=title,
        )

    def getDataPriority(self, data, info):
        data = self.normalizeData(data)
        if info.hasNXdata and not info.isInvalidNXdata:
            if nxdata.get_default(data, validate=False).is_volume:
                return 150

        return DataView.UNSUPPORTED


class _NXdataVolumeAsStackView(_NXdataBaseDataView):
    def __init__(self, parent):
        _NXdataBaseDataView.__init__(
            self,
            parent,
            label="NXdata (2D)",
            icon=icons.getQIcon("view-nexus"),
            modeId=NXDATA_VOLUME_AS_STACK_MODE,
        )

    def createWidget(self, parent):
        from silx.gui.data.NXdataWidgets import ArrayStackPlot

        widget = ArrayStackPlot(parent)
        widget.getStackView().setColormap(self.defaultColormap())
        widget.getStackView().getPlotWidget().getColormapAction().setColormapDialog(
            self.defaultColorDialog()
        )
        return widget

    def axesNames(self, data, info):
        # disabled (used by default axis selector widget in Hdf5Viewer)
        return None

    def clear(self):
        self.getWidget().clear()

    def setData(self, data):
        data = self.normalizeData(data)
        nxd = nxdata.get_default(data, validate=False)
        signal_name = nxd.signal_name
        z_axis, y_axis, x_axis = nxd.axes[-3:]
        z_label, y_label, x_label = nxd.axes_names[-3:]
        title = nxd.title or signal_name

        self._updateColormap(nxd)

        widget = self.getWidget()
        widget.setStackData(
            nxd.signal,
            x_axis=x_axis,
            y_axis=y_axis,
            z_axis=z_axis,
            signal_name=signal_name,
            xlabel=x_label,
            ylabel=y_label,
            zlabel=z_label,
            title=title,
        )
        # Override the colormap, while setStack overwrite it
        widget.getStackView().setColormap(self.defaultColormap())

    def getDataPriority(self, data, info):
        data = self.normalizeData(data)
        if info.isComplex:
            return DataView.UNSUPPORTED
        if info.hasNXdata and not info.isInvalidNXdata:
            if nxdata.get_default(data, validate=False).is_volume:
                return 200

        return DataView.UNSUPPORTED


class _NXdataComplexVolumeAsStackView(_NXdataBaseDataView):
    def __init__(self, parent):
        _NXdataBaseDataView.__init__(
            self,
            parent,
            label="NXdata (2D)",
            icon=icons.getQIcon("view-nexus"),
            modeId=NXDATA_VOLUME_AS_STACK_MODE,
        )
        self._is_complex_data = False

    def createWidget(self, parent):
        from silx.gui.data.NXdataWidgets import ArrayComplexImagePlot

        widget = ArrayComplexImagePlot(parent, colormap=self.defaultColormap())
        widget.getPlot().getColormapAction().setColormapDialog(
            self.defaultColorDialog()
        )
        return widget

    def axesNames(self, data, info):
        # disabled (used by default axis selector widget in Hdf5Viewer)
        return None

    def clear(self):
        self.getWidget().clear()

    def setData(self, data):
        data = self.normalizeData(data)
        nxd = nxdata.get_default(data, validate=False)
        signal_name = nxd.signal_name
        z_axis, y_axis, x_axis = nxd.axes[-3:]
        z_label, y_label, x_label = nxd.axes_names[-3:]
        title = nxd.title or signal_name

        self._updateColormap(nxd)

        self.getWidget().setImageData(
            [nxd.signal] + nxd.auxiliary_signals,
            x_axis=x_axis,
            y_axis=y_axis,
            signals_names=[nxd.signal_name] + nxd.auxiliary_signals_names,
            xlabel=x_label,
            ylabel=y_label,
            title=nxd.title,
        )

    def getDataPriority(self, data, info):
        data = self.normalizeData(data)
        if not info.isComplex:
            return DataView.UNSUPPORTED
        if info.hasNXdata and not info.isInvalidNXdata:
            if nxdata.get_default(data, validate=False).is_volume:
                return 200

        return DataView.UNSUPPORTED


class _NXdataView(CompositeDataView):
    """Composite view displaying NXdata groups using the most adequate
    widget depending on the dimensionality."""

    def __init__(self, parent):
        super(_NXdataView, self).__init__(
            parent=parent,
            label="NXdata",
            modeId=NXDATA_MODE,
            icon=icons.getQIcon("view-nexus"),
        )

        self.addView(_InvalidNXdataView(parent))
        self.addView(_NXdataScalarView(parent))
        self.addView(_NXdataCurveView(parent))
        self.addView(_NXdataXYVScatterView(parent))
        self.addView(_NXdataComplexImageView(parent))
        self.addView(_NXdataImageView(parent))
        self.addView(_NXdataStackView(parent))

        # The 3D view can be displayed using 2 ways
        nx3dViews = SelectManyDataView(parent)
        nx3dViews.addView(_NXdataVolumeAsStackView(parent))
        nx3dViews.addView(_NXdataComplexVolumeAsStackView(parent))
        try:
            nx3dViews.addView(_NXdataVolumeView(parent))
        except Exception:
            _logger.warning("NXdataVolumeView is not available")
            _logger.debug("Backtrace", exc_info=True)
        self.addView(nx3dViews)
