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#/*##########################################################################
# Copyright (C) 2004-2015 V.A. Sole, European Synchrotron Radiation Facility
#
# This file is part of the PyMca X-ray Fluorescence Toolkit developed at
# the ESRF by the Software group.
#
# 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.
#
#############################################################################*/
__author__ = "V.A. Sole - ESRF Data Analysis"
__contact__ = "sole@esrf.fr"
__license__ = "MIT"
__copyright__ = "European Synchrotron Radiation Facility, Grenoble, France"
import numpy
from PyMca5.PyMcaGui import PyMcaQt as qt
if hasattr(qt, 'QStringList'):
MyQVariant = qt.QVariant
else:
def MyQVariant(x=None):
return x
class NumpyArrayTableModel(qt.QAbstractTableModel):
def __init__(self, parent=None, narray=None, fmt="%g", perspective=0):
qt.QAbstractTableModel.__init__(self, parent)
if narray is None:
narray = numpy.array([])
self._array = narray
self._format = fmt
self._index = 0
self.assignDataFunction(perspective)
def rowCount(self, parent=None):
return self._rowCount(parent)
def columnCount(self, parent=None):
return self._columnCount(parent)
def data(self, index, role=qt.Qt.DisplayRole):
return self._data(index, role)
def _rowCount1D(self, parent=None):
return 1
def _columnCount1D(self, parent=None):
return self._array.shape[0]
def _data1D(self, index, role=qt.Qt.DisplayRole):
if index.isValid():
if role == qt.Qt.DisplayRole:
# row = 0
col = index.column()
return MyQVariant(self._format % self._array[col])
return MyQVariant()
def _rowCount2D(self, parent=None):
return self._array.shape[0]
def _columnCount2D(self, parent=None):
return self._array.shape[1]
def _data2D(self, index, role=qt.Qt.DisplayRole):
if index.isValid():
if role == qt.Qt.DisplayRole:
row = index.row()
col = index.column()
return MyQVariant(self._format % self._array[row, col])
return MyQVariant()
def _rowCountND(self, parent=None):
return self._array.shape[-2]
def _columnCountND(self, parent=None):
return self._array.shape[-1]
def _dataND(self, index, role=qt.Qt.DisplayRole):
if index.isValid():
if role == qt.Qt.DisplayRole:
row = index.row()
col = index.column()
actualSelection = tuple(self._index + [row, col])
return MyQVariant(self._format % self._array[actualSelection])
return MyQVariant()
def _rowCount3DIndex0(self, parent=None):
return self._array.shape[1]
def _columnCount3DIndex0(self, parent=None):
return self._array.shape[2]
def _rowCount3DIndex1(self, parent=None):
return self._array.shape[0]
def _columnCount3DIndex1(self, parent=None):
return self._array.shape[2]
def _rowCount3DIndex2(self, parent=None):
return self._array.shape[0]
def _columnCount3DIndex2(self, parent=None):
return self._array.shape[1]
def _data3DIndex0(self, index, role=qt.Qt.DisplayRole):
if index.isValid():
if role == qt.Qt.DisplayRole:
row = index.row()
col = index.column()
return MyQVariant(self._format % self._array[self._index,
row,
col])
return MyQVariant()
def _data3DIndex1(self, index, role=qt.Qt.DisplayRole):
if index.isValid():
if role == qt.Qt.DisplayRole:
row = index.row()
col = index.column()
return MyQVariant(self._format % self._array[row,
self._index,
col])
return MyQVariant()
def _data3DIndex2(self, index, role=qt.Qt.DisplayRole):
if index.isValid():
if role == qt.Qt.DisplayRole:
row = index.row()
col = index.column()
return MyQVariant(self._format % self._array[row,
col,
self._index])
return MyQVariant()
def setArrayData(self, data, perspective=0):
"""
setStackData(self, data, perspective=0)
data is a 3D array
dimension is the array dimension acting as index of images
"""
if qt.qVersion() > "4.6":
self.beginResetModel()
else:
self.reset()
self._array = data
self.assignDataFunction(perspective)
if len(data.shape) > 3:
self._index = []
for i in range(len(data.shape) - 2):
self._index.append(0)
if qt.qVersion() > "4.6":
self.endResetModel()
def assignDataFunction(self, dimension):
shape = self._array.shape
if len(shape) == 2:
self._rowCount = self._rowCount2D
self._columnCount = self._columnCount2D
self._data = self._data2D
elif len(shape) == 1:
self._rowCount = self._rowCount1D
self._columnCount = self._columnCount1D
self._data = self._data1D
elif len(shape) > 3:
# only C order array of images supported
self._rowCount = self._rowCountND
self._columnCount = self._columnCountND
self._data = self._dataND
else:
if dimension == 1:
self._rowCount = self._rowCount3DIndex1
self._columnCount = self._columnCount3DIndex1
self._data = self._data3DIndex1
elif dimension == 2:
self._rowCount = self._rowCount3DIndex2
self._columnCount = self._columnCount3DIndex2
self._data = self._data3DIndex1
else:
self._rowCount = self._rowCount3DIndex0
self._columnCount = self._columnCount3DIndex0
self._data = self._data3DIndex0
self._dimension = dimension
def setCurrentArrayIndex(self, index):
"""
This method is ignored if the current array does not
not a 3-dimensional array.
"""
shape = self._array.shape
if len(shape) < 3:
# index is ignored
return
if len(shape) == 3:
shape = self._array.shape[self._dimension]
if hasattr(index, "__len__"):
index = index[0]
if (index < 0) or (index >= shape):
raise ValueError("Index must be an integer lower than %d" % shape)
self._index = index
else:
# Only N-dimensional arrays of images supported
for i in range(len(index)):
idx = index[i]
if (idx < 0) or (idx >= shape[i]):
raise ValueError("Index %d must be positive integer lower than %d" % \
(idx, shape[i]))
self._index = index
def setFormat(self, fmt):
self._format = fmt
if __name__ == "__main__":
a = qt.QApplication([])
w = qt.QTableView()
d = numpy.random.normal(0,1, (5, 1000,1000))
for i in range(5):
d[i, :, :] += i
#m = NumpyArrayTableModel(fmt="%.5f")
#m = NumpyArrayTableModel(None, numpy.arange(100.), fmt="%.5f")
#m = NumpyArrayTableModel(None, numpy.ones((100,20)), fmt="%.5f")
m = NumpyArrayTableModel(None, d, fmt = "%.5f")
w.setModel(m)
m.setCurrentArrayIndex(4)
#m.setArrayData(numpy.ones((100,)))
w.show()
a.exec()
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