diff options
Diffstat (limited to 'silx/gui/data/ArrayTableModel.py')
| -rw-r--r-- | silx/gui/data/ArrayTableModel.py | 670 |
1 files changed, 0 insertions, 670 deletions
diff --git a/silx/gui/data/ArrayTableModel.py b/silx/gui/data/ArrayTableModel.py deleted file mode 100644 index b7bd9c4..0000000 --- a/silx/gui/data/ArrayTableModel.py +++ /dev/null @@ -1,670 +0,0 @@ -# coding: utf-8 -# /*########################################################################## -# -# Copyright (c) 2016-2021 European Synchrotron Radiation Facility -# -# Permission is hereby granted, free of charge, to any person obtaining a copy -# of this software and associated documentation files (the "Software"), to deal -# in the Software without restriction, including without limitation the rights -# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell -# copies of the Software, and to permit persons to whom the Software is -# furnished to do so, subject to the following conditions: -# -# The above copyright notice and this permission notice shall be included in -# all copies or substantial portions of the Software. -# -# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR -# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, -# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE -# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER -# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, -# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN -# THE SOFTWARE. -# -# ###########################################################################*/ -""" -This module defines a data model for displaying and editing arrays of any -number of dimensions in a table view. -""" -from __future__ import division -import numpy -import logging -from silx.gui import qt -from silx.gui.data.TextFormatter import TextFormatter - -__authors__ = ["V.A. Sole"] -__license__ = "MIT" -__date__ = "27/09/2017" - - -_logger = logging.getLogger(__name__) - - -def _is_array(data): - """Return True if object implements all necessary attributes to be used - as a numpy array. - - :param object data: Array-like object (numpy array, h5py dataset...) - :return: boolean - """ - # add more required attribute if necessary - for attr in ("shape", "dtype"): - if not hasattr(data, attr): - return False - return True - - -class ArrayTableModel(qt.QAbstractTableModel): - """This data model provides access to 2D slices in a N-dimensional - array. - - A slice for a 3-D array is characterized by a perspective (the number of - the axis orthogonal to the slice) and an index at which the slice - intersects the orthogonal axis. - - In the n-D case, only slices parallel to the last two axes are handled. A - slice is therefore characterized by a list of indices locating the - slice on all the :math:`n - 2` orthogonal axes. - - :param parent: Parent QObject - :param data: Numpy array, or object implementing a similar interface - (e.g. h5py dataset) - :param str fmt: Format string for representing numerical values. - Default is ``"%g"``. - :param sequence[int] perspective: See documentation - of :meth:`setPerspective`. - """ - - MAX_NUMBER_OF_SECTIONS = 10e6 - """Maximum number of displayed rows and columns""" - - def __init__(self, parent=None, data=None, perspective=None): - qt.QAbstractTableModel.__init__(self, parent) - - self._array = None - """n-dimensional numpy array""" - - self._bgcolors = None - """(n+1)-dimensional numpy array containing RGB(A) color data - for the background color - """ - - self._fgcolors = None - """(n+1)-dimensional numpy array containing RGB(A) color data - for the foreground color - """ - - self._formatter = None - """Formatter for text representation of data""" - - formatter = TextFormatter(self) - formatter.setUseQuoteForText(False) - self.setFormatter(formatter) - - self._index = None - """This attribute stores the slice index, as a list of indices - where the frame intersects orthogonal axis.""" - - self._perspective = None - """Sequence of dimensions orthogonal to the frame to be viewed. - For an array with ``n`` dimensions, this is a sequence of ``n-2`` - integers. the first dimension is numbered ``0``. - By default, the data frames use the last two dimensions as their axes - and therefore the perspective is a sequence of the first ``n-2`` - dimensions. - For example, for a 5-D array, the default perspective is ``(0, 1, 2)`` - and the default frames axes are ``(3, 4)``.""" - - # set _data and _perspective - self.setArrayData(data, perspective=perspective) - - def _getRowDim(self): - """The row axis is the first axis parallel to the frames - (lowest dimension number) - - Return None for 0-D (scalar) or 1-D arrays - """ - n_dimensions = len(self._array.shape) - if n_dimensions < 2: - # scalar or 1D array: no row index - return None - # take all dimensions and remove the orthogonal ones - frame_axes = set(range(0, n_dimensions)) - set(self._perspective) - # sanity check - assert len(frame_axes) == 2 - return min(frame_axes) - - def _getColumnDim(self): - """The column axis is the second (highest dimension) axis parallel - to the frames - - Return None for 0-D (scalar) - """ - n_dimensions = len(self._array.shape) - if n_dimensions < 1: - # scalar: no column index - return None - frame_axes = set(range(0, n_dimensions)) - set(self._perspective) - # sanity check - assert (len(frame_axes) == 2) if n_dimensions > 1 else (len(frame_axes) == 1) - return max(frame_axes) - - def _getIndexTuple(self, table_row, table_col): - """Return the n-dimensional index of a value in the original array, - based on its row and column indices in the table view - - :param table_row: Row index (0-based) of a table cell - :param table_col: Column index (0-based) of a table cell - :return: Tuple of indices of the element in the numpy array - """ - row_dim = self._getRowDim() - col_dim = self._getColumnDim() - - # get indices on all orthogonal axes - selection = list(self._index) - # insert indices on parallel axes - if row_dim is not None: - selection.insert(row_dim, table_row) - if col_dim is not None: - selection.insert(col_dim, table_col) - return tuple(selection) - - # Methods to be implemented to subclass QAbstractTableModel - def rowCount(self, parent_idx=None): - """QAbstractTableModel method - Return number of rows to be displayed in table""" - row_dim = self._getRowDim() - if row_dim is None: - # 0-D and 1-D arrays - return 1 - return min(self._array.shape[row_dim], self.MAX_NUMBER_OF_SECTIONS) - - def columnCount(self, parent_idx=None): - """QAbstractTableModel method - Return number of columns to be displayed in table""" - col_dim = self._getColumnDim() - if col_dim is None: - # 0-D array - return 1 - return min(self._array.shape[col_dim], self.MAX_NUMBER_OF_SECTIONS) - - def __isClipped(self, orientation=qt.Qt.Vertical) -> bool: - """Returns whether or not array is clipped in a given orientation""" - if orientation == qt.Qt.Vertical: - dim = self._getRowDim() - else: - dim = self._getColumnDim() - return (dim is not None and - self._array.shape[dim] > self.MAX_NUMBER_OF_SECTIONS) - - def __isClippedIndex(self, index) -> bool: - """Returns whether or not index's cell represents clipped data.""" - if not index.isValid(): - return False - if index.row() == self.MAX_NUMBER_OF_SECTIONS - 2: - return self.__isClipped(qt.Qt.Vertical) - if index.column() == self.MAX_NUMBER_OF_SECTIONS - 2: - return self.__isClipped(qt.Qt.Horizontal) - return False - - def __clippedData(self, role=qt.Qt.DisplayRole): - """Return data for cells representing clipped data""" - if role == qt.Qt.DisplayRole: - return "..." - elif role == qt.Qt.ToolTipRole: - return "Dataset is too large: display is clipped" - else: - return None - - def data(self, index, role=qt.Qt.DisplayRole): - """QAbstractTableModel method to access data values - in the format ready to be displayed""" - if index.isValid(): - if self.__isClippedIndex(index): # Special displayed for clipped data - return self.__clippedData(role) - - row, column = index.row(), index.column() - - # When clipped, display last data of the array in last column of the table - if (self.__isClipped(qt.Qt.Vertical) and - row == self.MAX_NUMBER_OF_SECTIONS - 1): - row = self._array.shape[self._getRowDim()] - 1 - if (self.__isClipped(qt.Qt.Horizontal) and - column == self.MAX_NUMBER_OF_SECTIONS - 1): - column = self._array.shape[self._getColumnDim()] - 1 - - selection = self._getIndexTuple(row, column) - - if role == qt.Qt.DisplayRole: - return self._formatter.toString(self._array[selection], self._array.dtype) - - if role == qt.Qt.BackgroundRole and self._bgcolors is not None: - r, g, b = self._bgcolors[selection][0:3] - if self._bgcolors.shape[-1] == 3: - return qt.QColor(r, g, b) - if self._bgcolors.shape[-1] == 4: - a = self._bgcolors[selection][3] - return qt.QColor(r, g, b, a) - - if role == qt.Qt.ForegroundRole: - if self._fgcolors is not None: - r, g, b = self._fgcolors[selection][0:3] - if self._fgcolors.shape[-1] == 3: - return qt.QColor(r, g, b) - if self._fgcolors.shape[-1] == 4: - a = self._fgcolors[selection][3] - return qt.QColor(r, g, b, a) - - # no fg color given, use black or white - # based on luminosity threshold - elif self._bgcolors is not None: - r, g, b = self._bgcolors[selection][0:3] - lum = 0.21 * r + 0.72 * g + 0.07 * b - if lum < 128: - return qt.QColor(qt.Qt.white) - else: - return qt.QColor(qt.Qt.black) - - def headerData(self, section, orientation, role=qt.Qt.DisplayRole): - """QAbstractTableModel method - Return the 0-based row or column index, for display in the - horizontal and vertical headers""" - if self.__isClipped(orientation): # Header is clipped - if section == self.MAX_NUMBER_OF_SECTIONS - 2: - # Represent clipped data - return self.__clippedData(role) - - elif section == self.MAX_NUMBER_OF_SECTIONS - 1: - # Display last index from data not table - if role == qt.Qt.DisplayRole: - if orientation == qt.Qt.Vertical: - dim = self._getRowDim() - else: - dim = self._getColumnDim() - return str(self._array.shape[dim] - 1) - else: - return None - - if role == qt.Qt.DisplayRole: - return "%d" % section - return None - - def flags(self, index): - """QAbstractTableModel method to inform the view whether data - is editable or not.""" - if not self._editable or self.__isClippedIndex(index): - return qt.QAbstractTableModel.flags(self, index) - return qt.QAbstractTableModel.flags(self, index) | qt.Qt.ItemIsEditable - - def setData(self, index, value, role=None): - """QAbstractTableModel method to handle editing data. - Cast the new value into the same format as the array before editing - the array value.""" - if index.isValid() and role == qt.Qt.EditRole: - try: - # cast value to same type as array - v = numpy.array(value, dtype=self._array.dtype).item() - except ValueError: - return False - - selection = self._getIndexTuple(index.row(), - index.column()) - self._array[selection] = v - self.dataChanged.emit(index, index) - return True - else: - return False - - # Public methods - def setArrayData(self, data, copy=True, - perspective=None, editable=False): - """Set the data array and the viewing perspective. - - You can set ``copy=False`` if you need more performances, when dealing - with a large numpy array. In this case, a simple reference to the data - is used to access the data, rather than a copy of the array. - - .. warning:: - - Any change to the data model will affect your original data - array, when using a reference rather than a copy.. - - :param data: n-dimensional numpy array, or any object that can be - converted to a numpy array using ``numpy.array(data)`` (e.g. - a nested sequence). - :param bool copy: If *True* (default), a copy of the array is stored - and the original array is not modified if the table is edited. - If *False*, then the behavior depends on the data type: - if possible (if the original array is a proper numpy array) - a reference to the original array is used. - :param perspective: See documentation of :meth:`setPerspective`. - If None, the default perspective is the list of the first ``n-2`` - dimensions, to view frames parallel to the last two axes. - :param bool editable: Flag to enable editing data. Default *False*. - """ - if qt.qVersion() > "4.6": - self.beginResetModel() - else: - self.reset() - - if data is None: - # empty array - self._array = numpy.array([]) - elif copy: - # copy requested (default) - self._array = numpy.array(data, copy=True) - if hasattr(data, "dtype"): - # Avoid to lose the monkey-patched h5py dtype - self._array.dtype = data.dtype - elif not _is_array(data): - raise TypeError("data is not a proper array. Try setting" + - " copy=True to convert it into a numpy array" + - " (this will cause the data to be copied!)") - # # copy not requested, but necessary - # _logger.warning( - # "data is not an array-like object. " + - # "Data must be copied.") - # self._array = numpy.array(data, copy=True) - else: - # Copy explicitly disabled & data implements required attributes. - # We can use a reference. - self._array = data - - # reset colors to None if new data shape is inconsistent - valid_color_shapes = (self._array.shape + (3,), - self._array.shape + (4,)) - if self._bgcolors is not None: - if self._bgcolors.shape not in valid_color_shapes: - self._bgcolors = None - if self._fgcolors is not None: - if self._fgcolors.shape not in valid_color_shapes: - self._fgcolors = None - - self.setEditable(editable) - - self._index = [0 for _i in range((len(self._array.shape) - 2))] - self._perspective = tuple(perspective) if perspective is not None else\ - tuple(range(0, len(self._array.shape) - 2)) - - if qt.qVersion() > "4.6": - self.endResetModel() - - def setArrayColors(self, bgcolors=None, fgcolors=None): - """Set the colors for all table cells by passing an array - of RGB or RGBA values (integers between 0 and 255). - - The shape of the colors array must be consistent with the data shape. - - If the data array is n-dimensional, the colors array must be - (n+1)-dimensional, with the first n-dimensions identical to the data - array dimensions, and the last dimension length-3 (RGB) or - length-4 (RGBA). - - :param bgcolors: RGB or RGBA colors array, defining the background color - for each cell in the table. - :param fgcolors: RGB or RGBA colors array, defining the foreground color - (text color) for each cell in the table. - """ - # array must be RGB or RGBA - valid_shapes = (self._array.shape + (3,), self._array.shape + (4,)) - errmsg = "Inconsistent shape for color array, should be %s or %s" % valid_shapes - - if bgcolors is not None: - if not _is_array(bgcolors): - bgcolors = numpy.array(bgcolors) - assert bgcolors.shape in valid_shapes, errmsg - - self._bgcolors = bgcolors - - if fgcolors is not None: - if not _is_array(fgcolors): - fgcolors = numpy.array(fgcolors) - assert fgcolors.shape in valid_shapes, errmsg - - self._fgcolors = fgcolors - - def setEditable(self, editable): - """Set flags to make the data editable. - - .. warning:: - - If the data is a reference to a h5py dataset open in read-only - mode, setting *editable=True* will fail and print a warning. - - .. warning:: - - Making the data editable means that the underlying data structure - in this data model will be modified. - If the data is a reference to a public object (open with - ``copy=False``), this could have side effects. If it is a - reference to an HDF5 dataset, this means the file will be - modified. - - :param bool editable: Flag to enable editing data. - :return: True if setting desired flag succeeded, False if it failed. - """ - self._editable = editable - if hasattr(self._array, "file"): - if hasattr(self._array.file, "mode"): - if editable and self._array.file.mode == "r": - _logger.warning( - "Data is a HDF5 dataset open in read-only " + - "mode. Editing must be disabled.") - self._editable = False - return False - return True - - def getData(self, copy=True): - """Return a copy of the data array, or a reference to it - if *copy=False* is passed as parameter. - - In case the shape was modified, to convert 0-D or 1-D data - into 2-D data, the original shape is restored in the returned data. - - :param bool copy: If *True* (default), return a copy of the data. If - *False*, return a reference. - :return: numpy array of data, or reference to original data object - if *copy=False* - """ - data = self._array if not copy else numpy.array(self._array, copy=True) - return data - - def setFrameIndex(self, index): - """Set the active slice index. - - This method is only relevant to arrays with at least 3 dimensions. - - :param index: Index of the active slice in the array. - In the general n-D case, this is a sequence of :math:`n - 2` - indices where the slice intersects the respective orthogonal axes. - :raise IndexError: If any index in the index sequence is out of bound - on its respective axis. - """ - shape = self._array.shape - if len(shape) < 3: - # index is ignored - return - - if qt.qVersion() > "4.6": - self.beginResetModel() - else: - self.reset() - - if len(shape) == 3: - len_ = shape[self._perspective[0]] - # accept integers as index in the case of 3-D arrays - if not hasattr(index, "__len__"): - self._index = [index] - else: - self._index = index - if not 0 <= self._index[0] < len_: - raise ValueError("Index must be a positive integer " + - "lower than %d" % len_) - else: - # general n-D case - for i_, idx in enumerate(index): - if not 0 <= idx < shape[self._perspective[i_]]: - raise IndexError("Invalid index %d " % idx + - "not in range 0-%d" % (shape[i_] - 1)) - self._index = index - - if qt.qVersion() > "4.6": - self.endResetModel() - - def setFormatter(self, formatter): - """Set the formatter object to be used to display data from the model - - :param TextFormatter formatter: Formatter to use - """ - if formatter is self._formatter: - return - - if qt.qVersion() > "4.6": - self.beginResetModel() - - if self._formatter is not None: - self._formatter.formatChanged.disconnect(self.__formatChanged) - - self._formatter = formatter - if self._formatter is not None: - self._formatter.formatChanged.connect(self.__formatChanged) - - if qt.qVersion() > "4.6": - self.endResetModel() - else: - self.reset() - - def getFormatter(self): - """Returns the text formatter used. - - :rtype: TextFormatter - """ - return self._formatter - - def __formatChanged(self): - """Called when the format changed. - """ - self.reset() - - def setPerspective(self, perspective): - """Set the perspective by defining a sequence listing all axes - orthogonal to the frame or 2-D slice to be visualized. - - Alternatively, you can use :meth:`setFrameAxes` for the complementary - approach of specifying the two axes parallel to the frame. - - In the 1-D or 2-D case, this parameter is irrelevant. - - In the 3-D case, if the unit vectors describing - your axes are :math:`\vec{x}, \vec{y}, \vec{z}`, a perspective of 0 - means you slices are parallel to :math:`\vec{y}\vec{z}`, 1 means they - are parallel to :math:`\vec{x}\vec{z}` and 2 means they - are parallel to :math:`\vec{x}\vec{y}`. - - In the n-D case, this parameter is a sequence of :math:`n-2` axes - numbers. - For instance if you want to display 2-D frames whose axes are the - second and third dimensions of a 5-D array, set the perspective to - ``(0, 3, 4)``. - - :param perspective: Sequence of dimensions/axes orthogonal to the - frames. - :raise: IndexError if any value in perspective is higher than the - number of dimensions minus one (first dimension is 0), or - if the number of values is different from the number of dimensions - minus two. - """ - n_dimensions = len(self._array.shape) - if n_dimensions < 3: - _logger.warning( - "perspective is not relevant for 1D and 2D arrays") - return - - if not hasattr(perspective, "__len__"): - # we can tolerate an integer for 3-D array - if n_dimensions == 3: - perspective = [perspective] - else: - raise ValueError("perspective must be a sequence of integers") - - # ensure unicity of dimensions in perspective - perspective = tuple(set(perspective)) - - if len(perspective) != n_dimensions - 2 or\ - min(perspective) < 0 or max(perspective) >= n_dimensions: - raise IndexError( - "Invalid perspective " + str(perspective) + - " for %d-D array " % n_dimensions + - "with shape " + str(self._array.shape)) - - if qt.qVersion() > "4.6": - self.beginResetModel() - else: - self.reset() - - self._perspective = perspective - - # reset index - self._index = [0 for _i in range(n_dimensions - 2)] - - if qt.qVersion() > "4.6": - self.endResetModel() - - def setFrameAxes(self, row_axis, col_axis): - """Set the perspective by specifying the two axes parallel to the frame - to be visualised. - - The complementary approach of defining the orthogonal axes can be used - with :meth:`setPerspective`. - - :param int row_axis: Index (0-based) of the first dimension used as a frame - axis - :param int col_axis: Index (0-based) of the 2nd dimension used as a frame - axis - :raise: IndexError if axes are invalid - """ - if row_axis > col_axis: - _logger.warning("The dimension of the row axis must be lower " + - "than the dimension of the column axis. Swapping.") - row_axis, col_axis = min(row_axis, col_axis), max(row_axis, col_axis) - - n_dimensions = len(self._array.shape) - if n_dimensions < 3: - _logger.warning( - "Frame axes cannot be changed for 1D and 2D arrays") - return - - perspective = tuple(set(range(0, n_dimensions)) - {row_axis, col_axis}) - - if len(perspective) != n_dimensions - 2 or\ - min(perspective) < 0 or max(perspective) >= n_dimensions: - raise IndexError( - "Invalid perspective " + str(perspective) + - " for %d-D array " % n_dimensions + - "with shape " + str(self._array.shape)) - - if qt.qVersion() > "4.6": - self.beginResetModel() - else: - self.reset() - - self._perspective = perspective - # reset index - self._index = [0 for _i in range(n_dimensions - 2)] - - if qt.qVersion() > "4.6": - self.endResetModel() - - -if __name__ == "__main__": - app = qt.QApplication([]) - w = qt.QTableView() - d = numpy.random.normal(0, 1, (5, 1000, 1000)) - for i in range(5): - d[i, :, :] += i * 10 - m = ArrayTableModel(data=d) - w.setModel(m) - m.setFrameIndex(3) - # m.setArrayData(numpy.ones((100,))) - w.show() - app.exec_() |