/usr/lib/python2.7/dist-packages/PyMca/NumpyArrayTableModel.py is in pymca 4.7.4+dfsg-1.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
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# Copyright (C) 2004-2012 European Synchrotron Radiation Facility
#
# This file is part of the PyMca X-ray Fluorescence Toolkit developed at
# the ESRF by the Software group.
#
# This toolkit is free software; you can redistribute it and/or modify it
# under the terms of the GNU General Public License as published by the Free
# Software Foundation; either version 2 of the License, or (at your option)
# any later version.
#
# PyMca is distributed in the hope that it will be useful, but WITHOUT ANY
# WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
# FOR A PARTICULAR PURPOSE. See the GNU General Public License for more
# details.
#
# You should have received a copy of the GNU General Public License along with
# PyMca; if not, write to the Free Software Foundation, Inc.,
# 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
#
# PyMca follows the dual licensing model of Riverbank's PyQt and cannot be
# used as a free plugin for a non-free program.
#
# Please contact the ESRF industrial unit (industry@esrf.fr) if this license
# is a problem for you.
#############################################################################*/
import numpy
from PyQt4 import QtCore, QtGui
if hasattr(QtCore, 'QStringList'):
MyQVariant = QtCore.QVariant
else:
def MyQVariant(x=None):
return x
class NumpyArrayTableModel(QtCore.QAbstractTableModel):
def __init__(self, parent=None, narray=None, fmt="%g", perspective=0):
QtCore.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=QtCore.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=QtCore.Qt.DisplayRole):
if index.isValid():
if role == QtCore.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=QtCore.Qt.DisplayRole):
if index.isValid():
if role == QtCore.Qt.DisplayRole:
row = index.row()
col = index.column()
return MyQVariant(self._format % self._array[row, col])
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=QtCore.Qt.DisplayRole):
if index.isValid():
if role == QtCore.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=QtCore.Qt.DisplayRole):
if index.isValid():
if role == QtCore.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=QtCore.Qt.DisplayRole):
if index.isValid():
if role == QtCore.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
"""
self.reset()
self._array = data
self.assignDataFunction(perspective)
self._index = 0
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
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:
return
shape = self._array.shape[self._dimension]
if (index < 0) or (index >= shape):
raise ValueError("Index must be an integer lower than %d" % shape)
self._index = index
def setFormat(self, fmt):
self._format = fmt
if __name__ == "__main__":
a = QtGui.QApplication([])
w = QtGui.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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