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#/*##########################################################################
#
# The PyMca X-Ray Fluorescence Toolkit
#
# Copyright (c) 2004-2019 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. Armando Sole - ESRF Data Analysis"
__contact__ = "sole@esrf.fr"
__license__ = "MIT"
__copyright__ = "European Synchrotron Radiation Facility, Grenoble, France"
import numpy
class DataObject(object):
'''
Simple container of an array and associated information.
Basically it has the members:
info: A dictionary
data: An array, usually 2D, 3D, ...
In the past also incorporated selection methods.
Now each different data source implements its selection methods.
Plotting routines may add additional members
x: A list containing arrays to be considered axes
y: A list of data to be considered as signals
m: A list containing the monitor data
'''
GETINFO_DEPRECATION_WARNING = True
GETDATA_DEPRECATION_WARNING = True
SELECT_DEPRECATION_WARNING = True
def __init__(self):
'''
Default Constructor
'''
self.info = {}
self.data = numpy.array([])
# all the following methods are here for compatibility purposes
# they are obsolete and bound to disappear.
def getInfo(self):
"""
Deprecated method
"""
if DataObject.GETINFO_DEPRECATION_WARNING:
print("DEPRECATION WARNING: DataObject.getInfo()")
DataObject.GETINFO_DEPRECATION_WARNING = False
return self.info
def getData(self):
"""
Deprecated method
"""
if DataObject.GETDATA_DEPRECATION_WARNING:
print("DEPRECATION WARNING: DataObject.getData()")
DataObject.GETDATA_DEPRECATION_WARNING = False
return self.data
def select(self, selection=None):
"""
Deprecated method
"""
if DataObject.SELECT_DEPRECATION_WARNING:
print("DEPRECATION WARNING: DataObject.select(selection=None)")
DataObject.SELECT_DEPRECATION_WARNING = False
dataObject = DataObject()
dataObject.info = self.info
dataObject.info['selection'] = selection
if selection is None:
dataObject.data = self.data
return dataObject
if type(selection) == dict:
#dataObject.data = self.data #should I set it to none???
dataObject.data = None
if 'rows' in selection:
dataObject.x = None
dataObject.y = None
dataObject.m = None
if 'x' in selection['rows']:
for rownumber in selection['rows']['x']:
if rownumber is None:
continue
if dataObject.x is None:
dataObject.x = []
dataObject.x.append(self.data[rownumber, :])
if 'y' in selection['rows']:
for rownumber in selection['rows']['y']:
if rownumber is None:
continue
if dataObject.y is None:
dataObject.y = []
dataObject.y.append(self.data[rownumber, :])
if 'm' in selection['rows']:
for rownumber in selection['rows']['m']:
if rownumber is None:
continue
if dataObject.m is None:
dataObject.m = []
dataObject.m.append(self.data[rownumber, :])
elif ('cols' in selection) or ('columns' in selection):
if 'cols' in selection:
key = 'cols'
else:
key = 'columns'
dataObject.x = None
dataObject.y = None
dataObject.m = None
if 'x' in selection[key]:
for rownumber in selection[key]['x']:
if rownumber is None:
continue
if dataObject.x is None:
dataObject.x = []
dataObject.x.append(self.data[:, rownumber])
if 'y' in selection[key]:
for rownumber in selection[key]['y']:
if rownumber is None:
continue
if dataObject.y is None:
dataObject.y = []
dataObject.y.append(self.data[:, rownumber])
if 'm' in selection[key]:
for rownumber in selection[key]['m']:
if rownumber is None:
continue
if dataObject.m is None:
dataObject.m = []
dataObject.m.append(self.data[:, rownumber])
if dataObject.x is None:
if 'Channel0' in dataObject.info:
ch0 = int(dataObject.info['Channel0'])
else:
ch0 = 0
dataObject.x = [numpy.arange(ch0,
ch0 + len(dataObject.y[0])).astype(numpy.float64)]
if not ("selectiontype" in dataObject.info):
dataObject.info["selectiontype"] = "%dD" % len(dataObject.y)
return dataObject
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