| 1 | """ |
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| 2 | Module that contains classes to hold information read from |
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| 3 | reduced data files. |
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| 4 | |
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| 5 | A good description of the data members can be found in |
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| 6 | the CanSAS 1D XML data format: |
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| 7 | |
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| 8 | http://www.smallangles.net/wgwiki/index.php/cansas1d_documentation |
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| 9 | """ |
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| 10 | ##################################################################### |
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| 11 | #This software was developed by the University of Tennessee as part of the |
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| 12 | #Distributed Data Analysis of Neutron Scattering Experiments (DANSE) |
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| 13 | #project funded by the US National Science Foundation. |
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| 14 | #See the license text in license.txt |
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| 15 | #copyright 2008, University of Tennessee |
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| 16 | ###################################################################### |
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| 17 | |
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| 18 | from __future__ import print_function |
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| 19 | |
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| 20 | #TODO: Keep track of data manipulation in the 'process' data structure. |
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| 21 | #TODO: This module should be independent of plottables. We should write |
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| 22 | # an adapter class for plottables when needed. |
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| 23 | |
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| 24 | #from sas.guitools.plottables import Data1D as plottable_1D |
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| 25 | from sas.sascalc.data_util.uncertainty import Uncertainty |
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| 26 | import numpy as np |
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| 27 | import math |
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| 28 | |
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| 29 | class plottable_1D(object): |
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| 30 | """ |
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| 31 | Data1D is a place holder for 1D plottables. |
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| 32 | """ |
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| 33 | # The presence of these should be mutually |
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| 34 | # exclusive with the presence of Qdev (dx) |
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| 35 | x = None |
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| 36 | y = None |
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| 37 | dx = None |
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| 38 | dy = None |
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| 39 | ## Slit smearing length |
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| 40 | dxl = None |
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| 41 | ## Slit smearing width |
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| 42 | dxw = None |
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| 43 | ## SESANS specific params (wavelengths for spin echo length calculation) |
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| 44 | lam = None |
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| 45 | dlam = None |
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| 46 | |
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| 47 | # Units |
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| 48 | _xaxis = '' |
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| 49 | _xunit = '' |
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| 50 | _yaxis = '' |
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| 51 | _yunit = '' |
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| 52 | |
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| 53 | def __init__(self, x, y, dx=None, dy=None, dxl=None, dxw=None, lam=None, dlam=None): |
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| 54 | self.x = np.asarray(x) |
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| 55 | self.y = np.asarray(y) |
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| 56 | if dx is not None: |
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| 57 | self.dx = np.asarray(dx) |
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| 58 | if dy is not None: |
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| 59 | self.dy = np.asarray(dy) |
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| 60 | if dxl is not None: |
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| 61 | self.dxl = np.asarray(dxl) |
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| 62 | if dxw is not None: |
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| 63 | self.dxw = np.asarray(dxw) |
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| 64 | if lam is not None: |
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| 65 | self.lam = np.asarray(lam) |
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| 66 | if dlam is not None: |
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| 67 | self.dlam = np.asarray(dlam) |
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| 68 | |
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| 69 | def xaxis(self, label, unit): |
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| 70 | """ |
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| 71 | set the x axis label and unit |
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| 72 | """ |
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| 73 | self._xaxis = label |
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| 74 | self._xunit = unit |
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| 75 | |
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| 76 | def yaxis(self, label, unit): |
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| 77 | """ |
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| 78 | set the y axis label and unit |
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| 79 | """ |
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| 80 | self._yaxis = label |
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| 81 | self._yunit = unit |
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| 82 | |
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| 83 | |
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| 84 | class plottable_2D(object): |
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| 85 | """ |
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| 86 | Data2D is a place holder for 2D plottables. |
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| 87 | """ |
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| 88 | xmin = None |
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| 89 | xmax = None |
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| 90 | ymin = None |
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| 91 | ymax = None |
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| 92 | data = None |
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| 93 | qx_data = None |
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| 94 | qy_data = None |
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| 95 | q_data = None |
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| 96 | err_data = None |
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| 97 | dqx_data = None |
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| 98 | dqy_data = None |
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| 99 | mask = None |
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| 100 | |
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| 101 | # Units |
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| 102 | _xaxis = '' |
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| 103 | _xunit = '' |
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| 104 | _yaxis = '' |
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| 105 | _yunit = '' |
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| 106 | _zaxis = '' |
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| 107 | _zunit = '' |
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| 108 | |
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| 109 | def __init__(self, data=None, err_data=None, qx_data=None, |
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| 110 | qy_data=None, q_data=None, mask=None, |
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| 111 | dqx_data=None, dqy_data=None): |
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| 112 | self.data = np.asarray(data) |
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| 113 | self.qx_data = np.asarray(qx_data) |
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| 114 | self.qy_data = np.asarray(qy_data) |
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| 115 | self.q_data = np.asarray(q_data) |
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| 116 | self.mask = np.asarray(mask) |
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| 117 | self.err_data = np.asarray(err_data) |
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| 118 | if dqx_data is not None: |
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| 119 | self.dqx_data = np.asarray(dqx_data) |
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| 120 | if dqy_data is not None: |
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| 121 | self.dqy_data = np.asarray(dqy_data) |
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| 122 | |
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| 123 | def xaxis(self, label, unit): |
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| 124 | """ |
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| 125 | set the x axis label and unit |
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| 126 | """ |
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| 127 | self._xaxis = label |
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| 128 | self._xunit = unit |
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| 129 | |
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| 130 | def yaxis(self, label, unit): |
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| 131 | """ |
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| 132 | set the y axis label and unit |
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| 133 | """ |
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| 134 | self._yaxis = label |
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| 135 | self._yunit = unit |
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| 136 | |
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| 137 | def zaxis(self, label, unit): |
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| 138 | """ |
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| 139 | set the z axis label and unit |
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| 140 | """ |
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| 141 | self._zaxis = label |
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| 142 | self._zunit = unit |
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| 143 | |
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| 144 | |
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| 145 | class Vector(object): |
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| 146 | """ |
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| 147 | Vector class to hold multi-dimensional objects |
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| 148 | """ |
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| 149 | ## x component |
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| 150 | x = None |
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| 151 | ## y component |
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| 152 | y = None |
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| 153 | ## z component |
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| 154 | z = None |
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| 155 | |
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| 156 | def __init__(self, x=None, y=None, z=None): |
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| 157 | """ |
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| 158 | Initialization. Components that are not |
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| 159 | set a set to None by default. |
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| 160 | |
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| 161 | :param x: x component |
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| 162 | :param y: y component |
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| 163 | :param z: z component |
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| 164 | """ |
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| 165 | self.x = x |
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| 166 | self.y = y |
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| 167 | self.z = z |
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| 168 | |
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| 169 | def __str__(self): |
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| 170 | msg = "x = %s\ty = %s\tz = %s" % (str(self.x), str(self.y), str(self.z)) |
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| 171 | return msg |
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| 172 | |
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| 173 | |
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| 174 | class Detector(object): |
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| 175 | """ |
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| 176 | Class to hold detector information |
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| 177 | """ |
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| 178 | ## Name of the instrument [string] |
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| 179 | name = None |
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| 180 | ## Sample to detector distance [float] [mm] |
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| 181 | distance = None |
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| 182 | distance_unit = 'mm' |
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| 183 | ## Offset of this detector position in X, Y, |
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| 184 | #(and Z if necessary) [Vector] [mm] |
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| 185 | offset = None |
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| 186 | offset_unit = 'm' |
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| 187 | ## Orientation (rotation) of this detector in roll, |
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| 188 | # pitch, and yaw [Vector] [degrees] |
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| 189 | orientation = None |
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| 190 | orientation_unit = 'degree' |
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| 191 | ## Center of the beam on the detector in X and Y |
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| 192 | #(and Z if necessary) [Vector] [mm] |
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| 193 | beam_center = None |
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| 194 | beam_center_unit = 'mm' |
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| 195 | ## Pixel size in X, Y, (and Z if necessary) [Vector] [mm] |
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| 196 | pixel_size = None |
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| 197 | pixel_size_unit = 'mm' |
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| 198 | ## Slit length of the instrument for this detector.[float] [mm] |
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| 199 | slit_length = None |
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| 200 | slit_length_unit = 'mm' |
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| 201 | |
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| 202 | def __init__(self): |
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| 203 | """ |
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| 204 | Initialize class attribute that are objects... |
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| 205 | """ |
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| 206 | self.offset = Vector() |
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| 207 | self.orientation = Vector() |
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| 208 | self.beam_center = Vector() |
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| 209 | self.pixel_size = Vector() |
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| 210 | |
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| 211 | def __str__(self): |
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| 212 | _str = "Detector:\n" |
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| 213 | _str += " Name: %s\n" % self.name |
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| 214 | _str += " Distance: %s [%s]\n" % \ |
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| 215 | (str(self.distance), str(self.distance_unit)) |
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| 216 | _str += " Offset: %s [%s]\n" % \ |
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| 217 | (str(self.offset), str(self.offset_unit)) |
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| 218 | _str += " Orientation: %s [%s]\n" % \ |
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| 219 | (str(self.orientation), str(self.orientation_unit)) |
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| 220 | _str += " Beam center: %s [%s]\n" % \ |
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| 221 | (str(self.beam_center), str(self.beam_center_unit)) |
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| 222 | _str += " Pixel size: %s [%s]\n" % \ |
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| 223 | (str(self.pixel_size), str(self.pixel_size_unit)) |
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| 224 | _str += " Slit length: %s [%s]\n" % \ |
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| 225 | (str(self.slit_length), str(self.slit_length_unit)) |
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| 226 | return _str |
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| 227 | |
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| 228 | |
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| 229 | class Aperture(object): |
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| 230 | ## Name |
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| 231 | name = None |
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| 232 | ## Type |
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| 233 | type = None |
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| 234 | ## Size name |
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| 235 | size_name = None |
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| 236 | ## Aperture size [Vector] |
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| 237 | size = None |
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| 238 | size_unit = 'mm' |
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| 239 | ## Aperture distance [float] |
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| 240 | distance = None |
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| 241 | distance_unit = 'mm' |
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| 242 | |
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| 243 | def __init__(self): |
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| 244 | self.size = Vector() |
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| 245 | |
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| 246 | |
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| 247 | class Collimation(object): |
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| 248 | """ |
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| 249 | Class to hold collimation information |
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| 250 | """ |
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| 251 | ## Name |
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| 252 | name = None |
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| 253 | ## Length [float] [mm] |
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| 254 | length = None |
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| 255 | length_unit = 'mm' |
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| 256 | ## Aperture |
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| 257 | aperture = None |
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| 258 | |
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| 259 | def __init__(self): |
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| 260 | self.aperture = [] |
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| 261 | |
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| 262 | def __str__(self): |
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| 263 | _str = "Collimation:\n" |
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| 264 | _str += " Length: %s [%s]\n" % \ |
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| 265 | (str(self.length), str(self.length_unit)) |
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| 266 | for item in self.aperture: |
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| 267 | _str += " Aperture size:%s [%s]\n" % \ |
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| 268 | (str(item.size), str(item.size_unit)) |
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| 269 | _str += " Aperture_dist:%s [%s]\n" % \ |
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| 270 | (str(item.distance), str(item.distance_unit)) |
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| 271 | return _str |
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| 272 | |
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| 273 | |
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| 274 | class Source(object): |
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| 275 | """ |
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| 276 | Class to hold source information |
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| 277 | """ |
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| 278 | ## Name |
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| 279 | name = None |
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| 280 | ## Radiation type [string] |
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| 281 | radiation = None |
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| 282 | ## Beam size name |
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| 283 | beam_size_name = None |
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| 284 | ## Beam size [Vector] [mm] |
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| 285 | beam_size = None |
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| 286 | beam_size_unit = 'mm' |
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| 287 | ## Beam shape [string] |
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| 288 | beam_shape = None |
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| 289 | ## Wavelength [float] [Angstrom] |
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| 290 | wavelength = None |
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| 291 | wavelength_unit = 'A' |
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| 292 | ## Minimum wavelength [float] [Angstrom] |
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| 293 | wavelength_min = None |
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| 294 | wavelength_min_unit = 'nm' |
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| 295 | ## Maximum wavelength [float] [Angstrom] |
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| 296 | wavelength_max = None |
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| 297 | wavelength_max_unit = 'nm' |
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| 298 | ## Wavelength spread [float] [Angstrom] |
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| 299 | wavelength_spread = None |
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| 300 | wavelength_spread_unit = 'percent' |
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| 301 | |
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| 302 | def __init__(self): |
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| 303 | self.beam_size = Vector() |
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| 304 | |
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| 305 | def __str__(self): |
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| 306 | _str = "Source:\n" |
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| 307 | _str += " Radiation: %s\n" % str(self.radiation) |
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| 308 | _str += " Shape: %s\n" % str(self.beam_shape) |
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| 309 | _str += " Wavelength: %s [%s]\n" % \ |
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| 310 | (str(self.wavelength), str(self.wavelength_unit)) |
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| 311 | _str += " Waveln_min: %s [%s]\n" % \ |
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| 312 | (str(self.wavelength_min), str(self.wavelength_min_unit)) |
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| 313 | _str += " Waveln_max: %s [%s]\n" % \ |
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| 314 | (str(self.wavelength_max), str(self.wavelength_max_unit)) |
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| 315 | _str += " Waveln_spread:%s [%s]\n" % \ |
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| 316 | (str(self.wavelength_spread), str(self.wavelength_spread_unit)) |
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| 317 | _str += " Beam_size: %s [%s]\n" % \ |
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| 318 | (str(self.beam_size), str(self.beam_size_unit)) |
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| 319 | return _str |
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| 320 | |
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| 321 | |
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| 322 | """ |
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| 323 | Definitions of radiation types |
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| 324 | """ |
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| 325 | NEUTRON = 'neutron' |
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| 326 | XRAY = 'x-ray' |
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| 327 | MUON = 'muon' |
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| 328 | ELECTRON = 'electron' |
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| 329 | |
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| 330 | |
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| 331 | class Sample(object): |
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| 332 | """ |
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| 333 | Class to hold the sample description |
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| 334 | """ |
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| 335 | ## Short name for sample |
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| 336 | name = '' |
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| 337 | ## ID |
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| 338 | ID = '' |
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| 339 | ## Thickness [float] [mm] |
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| 340 | thickness = None |
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| 341 | thickness_unit = 'mm' |
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| 342 | ## Transmission [float] [fraction] |
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| 343 | transmission = None |
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| 344 | ## Temperature [float] [No Default] |
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| 345 | temperature = None |
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| 346 | temperature_unit = None |
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| 347 | ## Position [Vector] [mm] |
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| 348 | position = None |
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| 349 | position_unit = 'mm' |
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| 350 | ## Orientation [Vector] [degrees] |
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| 351 | orientation = None |
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| 352 | orientation_unit = 'degree' |
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| 353 | ## Details |
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| 354 | details = None |
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| 355 | ## SESANS zacceptance |
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| 356 | zacceptance = (0,"") |
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| 357 | yacceptance = (0,"") |
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| 358 | |
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| 359 | def __init__(self): |
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| 360 | self.position = Vector() |
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| 361 | self.orientation = Vector() |
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| 362 | self.details = [] |
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| 363 | |
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| 364 | def __str__(self): |
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| 365 | _str = "Sample:\n" |
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| 366 | _str += " ID: %s\n" % str(self.ID) |
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| 367 | _str += " Transmission: %s\n" % str(self.transmission) |
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| 368 | _str += " Thickness: %s [%s]\n" % \ |
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| 369 | (str(self.thickness), str(self.thickness_unit)) |
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| 370 | _str += " Temperature: %s [%s]\n" % \ |
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| 371 | (str(self.temperature), str(self.temperature_unit)) |
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| 372 | _str += " Position: %s [%s]\n" % \ |
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| 373 | (str(self.position), str(self.position_unit)) |
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| 374 | _str += " Orientation: %s [%s]\n" % \ |
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| 375 | (str(self.orientation), str(self.orientation_unit)) |
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| 376 | |
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| 377 | _str += " Details:\n" |
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| 378 | for item in self.details: |
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| 379 | _str += " %s\n" % item |
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| 380 | |
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| 381 | return _str |
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| 382 | |
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| 383 | |
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| 384 | class Process(object): |
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| 385 | """ |
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| 386 | Class that holds information about the processes |
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| 387 | performed on the data. |
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| 388 | """ |
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| 389 | name = '' |
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| 390 | date = '' |
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| 391 | description = '' |
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| 392 | term = None |
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| 393 | notes = None |
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| 394 | |
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| 395 | def __init__(self): |
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| 396 | self.term = [] |
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| 397 | self.notes = [] |
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| 398 | |
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| 399 | def is_empty(self): |
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| 400 | """ |
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| 401 | Return True if the object is empty |
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| 402 | """ |
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| 403 | return len(self.name) == 0 and len(self.date) == 0 and len(self.description) == 0 \ |
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| 404 | and len(self.term) == 0 and len(self.notes) == 0 |
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| 405 | |
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| 406 | def single_line_desc(self): |
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| 407 | """ |
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| 408 | Return a single line string representing the process |
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| 409 | """ |
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| 410 | return "%s %s %s" % (self.name, self.date, self.description) |
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| 411 | |
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| 412 | def __str__(self): |
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| 413 | _str = "Process:\n" |
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| 414 | _str += " Name: %s\n" % self.name |
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| 415 | _str += " Date: %s\n" % self.date |
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| 416 | _str += " Description: %s\n" % self.description |
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| 417 | for item in self.term: |
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| 418 | _str += " Term: %s\n" % item |
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| 419 | for item in self.notes: |
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| 420 | _str += " Note: %s\n" % item |
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| 421 | return _str |
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| 422 | |
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| 423 | |
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| 424 | class TransmissionSpectrum(object): |
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| 425 | """ |
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| 426 | Class that holds information about transmission spectrum |
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| 427 | for white beams and spallation sources. |
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| 428 | """ |
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| 429 | name = '' |
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| 430 | timestamp = '' |
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| 431 | ## Wavelength (float) [A] |
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| 432 | wavelength = None |
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| 433 | wavelength_unit = 'A' |
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| 434 | ## Transmission (float) [unit less] |
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| 435 | transmission = None |
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| 436 | transmission_unit = '' |
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| 437 | ## Transmission Deviation (float) [unit less] |
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| 438 | transmission_deviation = None |
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| 439 | transmission_deviation_unit = '' |
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| 440 | |
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| 441 | def __init__(self): |
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| 442 | self.wavelength = [] |
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| 443 | self.transmission = [] |
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| 444 | self.transmission_deviation = [] |
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| 445 | |
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| 446 | def __str__(self): |
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| 447 | _str = "Transmission Spectrum:\n" |
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| 448 | _str += " Name: \t{0}\n".format(self.name) |
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| 449 | _str += " Timestamp: \t{0}\n".format(self.timestamp) |
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| 450 | _str += " Wavelength unit: \t{0}\n".format(self.wavelength_unit) |
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| 451 | _str += " Transmission unit:\t{0}\n".format(self.transmission_unit) |
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| 452 | _str += " Trans. Dev. unit: \t{0}\n".format(\ |
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| 453 | self.transmission_deviation_unit) |
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| 454 | length_list = [len(self.wavelength), len(self.transmission), \ |
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| 455 | len(self.transmission_deviation)] |
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| 456 | _str += " Number of Pts: \t{0}\n".format(max(length_list)) |
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| 457 | return _str |
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| 458 | |
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| 459 | |
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| 460 | class DataInfo(object): |
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| 461 | """ |
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| 462 | Class to hold the data read from a file. |
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| 463 | It includes four blocks of data for the |
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| 464 | instrument description, the sample description, |
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| 465 | the data itself and any other meta data. |
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| 466 | """ |
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| 467 | ## Title |
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| 468 | title = '' |
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| 469 | ## Run number |
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| 470 | run = None |
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| 471 | ## Run name |
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| 472 | run_name = None |
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| 473 | ## File name |
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| 474 | filename = '' |
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| 475 | ## Notes |
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| 476 | notes = None |
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| 477 | ## Processes (Action on the data) |
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| 478 | process = None |
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| 479 | ## Instrument name |
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| 480 | instrument = '' |
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| 481 | ## Detector information |
|---|
| 482 | detector = None |
|---|
| 483 | ## Sample information |
|---|
| 484 | sample = None |
|---|
| 485 | ## Source information |
|---|
| 486 | source = None |
|---|
| 487 | ## Collimation information |
|---|
| 488 | collimation = None |
|---|
| 489 | ## Transmission Spectrum INfo |
|---|
| 490 | trans_spectrum = None |
|---|
| 491 | ## Additional meta-data |
|---|
| 492 | meta_data = None |
|---|
| 493 | ## Loading errors |
|---|
| 494 | errors = None |
|---|
| 495 | ## SESANS data check |
|---|
| 496 | isSesans = None |
|---|
| 497 | |
|---|
| 498 | |
|---|
| 499 | def __init__(self): |
|---|
| 500 | """ |
|---|
| 501 | Initialization |
|---|
| 502 | """ |
|---|
| 503 | ## Title |
|---|
| 504 | self.title = '' |
|---|
| 505 | ## Run number |
|---|
| 506 | self.run = [] |
|---|
| 507 | self.run_name = {} |
|---|
| 508 | ## File name |
|---|
| 509 | self.filename = '' |
|---|
| 510 | ## Notes |
|---|
| 511 | self.notes = [] |
|---|
| 512 | ## Processes (Action on the data) |
|---|
| 513 | self.process = [] |
|---|
| 514 | ## Instrument name |
|---|
| 515 | self.instrument = '' |
|---|
| 516 | ## Detector information |
|---|
| 517 | self.detector = [] |
|---|
| 518 | ## Sample information |
|---|
| 519 | self.sample = Sample() |
|---|
| 520 | ## Source information |
|---|
| 521 | self.source = Source() |
|---|
| 522 | ## Collimation information |
|---|
| 523 | self.collimation = [] |
|---|
| 524 | ## Transmission Spectrum |
|---|
| 525 | self.trans_spectrum = [] |
|---|
| 526 | ## Additional meta-data |
|---|
| 527 | self.meta_data = {} |
|---|
| 528 | ## Loading errors |
|---|
| 529 | self.errors = [] |
|---|
| 530 | ## SESANS data check |
|---|
| 531 | self.isSesans = False |
|---|
| 532 | |
|---|
| 533 | def append_empty_process(self): |
|---|
| 534 | """ |
|---|
| 535 | """ |
|---|
| 536 | self.process.append(Process()) |
|---|
| 537 | |
|---|
| 538 | def add_notes(self, message=""): |
|---|
| 539 | """ |
|---|
| 540 | Add notes to datainfo |
|---|
| 541 | """ |
|---|
| 542 | self.notes.append(message) |
|---|
| 543 | |
|---|
| 544 | def __str__(self): |
|---|
| 545 | """ |
|---|
| 546 | Nice printout |
|---|
| 547 | """ |
|---|
| 548 | _str = "File: %s\n" % self.filename |
|---|
| 549 | _str += "Title: %s\n" % self.title |
|---|
| 550 | _str += "Run: %s\n" % str(self.run) |
|---|
| 551 | _str += "SESANS: %s\n" % str(self.isSesans) |
|---|
| 552 | _str += "Instrument: %s\n" % str(self.instrument) |
|---|
| 553 | _str += "%s\n" % str(self.sample) |
|---|
| 554 | _str += "%s\n" % str(self.source) |
|---|
| 555 | for item in self.detector: |
|---|
| 556 | _str += "%s\n" % str(item) |
|---|
| 557 | for item in self.collimation: |
|---|
| 558 | _str += "%s\n" % str(item) |
|---|
| 559 | for item in self.process: |
|---|
| 560 | _str += "%s\n" % str(item) |
|---|
| 561 | for item in self.notes: |
|---|
| 562 | _str += "%s\n" % str(item) |
|---|
| 563 | for item in self.trans_spectrum: |
|---|
| 564 | _str += "%s\n" % str(item) |
|---|
| 565 | return _str |
|---|
| 566 | |
|---|
| 567 | # Private method to perform operation. Not implemented for DataInfo, |
|---|
| 568 | # but should be implemented for each data class inherited from DataInfo |
|---|
| 569 | # that holds actual data (ex.: Data1D) |
|---|
| 570 | def _perform_operation(self, other, operation): |
|---|
| 571 | """ |
|---|
| 572 | Private method to perform operation. Not implemented for DataInfo, |
|---|
| 573 | but should be implemented for each data class inherited from DataInfo |
|---|
| 574 | that holds actual data (ex.: Data1D) |
|---|
| 575 | """ |
|---|
| 576 | return NotImplemented |
|---|
| 577 | |
|---|
| 578 | def _perform_union(self, other): |
|---|
| 579 | """ |
|---|
| 580 | Private method to perform union operation. Not implemented for DataInfo, |
|---|
| 581 | but should be implemented for each data class inherited from DataInfo |
|---|
| 582 | that holds actual data (ex.: Data1D) |
|---|
| 583 | """ |
|---|
| 584 | return NotImplemented |
|---|
| 585 | |
|---|
| 586 | def __add__(self, other): |
|---|
| 587 | """ |
|---|
| 588 | Add two data sets |
|---|
| 589 | |
|---|
| 590 | :param other: data set to add to the current one |
|---|
| 591 | :return: new data set |
|---|
| 592 | :raise ValueError: raised when two data sets are incompatible |
|---|
| 593 | """ |
|---|
| 594 | def operation(a, b): |
|---|
| 595 | return a + b |
|---|
| 596 | return self._perform_operation(other, operation) |
|---|
| 597 | |
|---|
| 598 | def __radd__(self, other): |
|---|
| 599 | """ |
|---|
| 600 | Add two data sets |
|---|
| 601 | |
|---|
| 602 | :param other: data set to add to the current one |
|---|
| 603 | :return: new data set |
|---|
| 604 | :raise ValueError: raised when two data sets are incompatible |
|---|
| 605 | """ |
|---|
| 606 | def operation(a, b): |
|---|
| 607 | return b + a |
|---|
| 608 | return self._perform_operation(other, operation) |
|---|
| 609 | |
|---|
| 610 | def __sub__(self, other): |
|---|
| 611 | """ |
|---|
| 612 | Subtract two data sets |
|---|
| 613 | |
|---|
| 614 | :param other: data set to subtract from the current one |
|---|
| 615 | :return: new data set |
|---|
| 616 | :raise ValueError: raised when two data sets are incompatible |
|---|
| 617 | """ |
|---|
| 618 | def operation(a, b): |
|---|
| 619 | return a - b |
|---|
| 620 | return self._perform_operation(other, operation) |
|---|
| 621 | |
|---|
| 622 | def __rsub__(self, other): |
|---|
| 623 | """ |
|---|
| 624 | Subtract two data sets |
|---|
| 625 | |
|---|
| 626 | :param other: data set to subtract from the current one |
|---|
| 627 | :return: new data set |
|---|
| 628 | :raise ValueError: raised when two data sets are incompatible |
|---|
| 629 | """ |
|---|
| 630 | def operation(a, b): |
|---|
| 631 | return b - a |
|---|
| 632 | return self._perform_operation(other, operation) |
|---|
| 633 | |
|---|
| 634 | def __mul__(self, other): |
|---|
| 635 | """ |
|---|
| 636 | Multiply two data sets |
|---|
| 637 | |
|---|
| 638 | :param other: data set to subtract from the current one |
|---|
| 639 | :return: new data set |
|---|
| 640 | :raise ValueError: raised when two data sets are incompatible |
|---|
| 641 | """ |
|---|
| 642 | def operation(a, b): |
|---|
| 643 | return a * b |
|---|
| 644 | return self._perform_operation(other, operation) |
|---|
| 645 | |
|---|
| 646 | def __rmul__(self, other): |
|---|
| 647 | """ |
|---|
| 648 | Multiply two data sets |
|---|
| 649 | |
|---|
| 650 | :param other: data set to subtract from the current one |
|---|
| 651 | :return: new data set |
|---|
| 652 | :raise ValueError: raised when two data sets are incompatible |
|---|
| 653 | """ |
|---|
| 654 | def operation(a, b): |
|---|
| 655 | return b * a |
|---|
| 656 | return self._perform_operation(other, operation) |
|---|
| 657 | |
|---|
| 658 | def __div__(self, other): |
|---|
| 659 | """ |
|---|
| 660 | Divided a data set by another |
|---|
| 661 | |
|---|
| 662 | :param other: data set that the current one is divided by |
|---|
| 663 | :return: new data set |
|---|
| 664 | :raise ValueError: raised when two data sets are incompatible |
|---|
| 665 | """ |
|---|
| 666 | def operation(a, b): |
|---|
| 667 | return a/b |
|---|
| 668 | return self._perform_operation(other, operation) |
|---|
| 669 | |
|---|
| 670 | def __rdiv__(self, other): |
|---|
| 671 | """ |
|---|
| 672 | Divided a data set by another |
|---|
| 673 | |
|---|
| 674 | :param other: data set that the current one is divided by |
|---|
| 675 | :return: new data set |
|---|
| 676 | :raise ValueError: raised when two data sets are incompatible |
|---|
| 677 | """ |
|---|
| 678 | def operation(a, b): |
|---|
| 679 | return b/a |
|---|
| 680 | return self._perform_operation(other, operation) |
|---|
| 681 | |
|---|
| 682 | def __or__(self, other): |
|---|
| 683 | """ |
|---|
| 684 | Union a data set with another |
|---|
| 685 | |
|---|
| 686 | :param other: data set to be unified |
|---|
| 687 | :return: new data set |
|---|
| 688 | :raise ValueError: raised when two data sets are incompatible |
|---|
| 689 | """ |
|---|
| 690 | return self._perform_union(other) |
|---|
| 691 | |
|---|
| 692 | def __ror__(self, other): |
|---|
| 693 | """ |
|---|
| 694 | Union a data set with another |
|---|
| 695 | |
|---|
| 696 | :param other: data set to be unified |
|---|
| 697 | :return: new data set |
|---|
| 698 | :raise ValueError: raised when two data sets are incompatible |
|---|
| 699 | """ |
|---|
| 700 | return self._perform_union(other) |
|---|
| 701 | |
|---|
| 702 | class Data1D(plottable_1D, DataInfo): |
|---|
| 703 | """ |
|---|
| 704 | 1D data class |
|---|
| 705 | """ |
|---|
| 706 | def __init__(self, x=None, y=None, dx=None, dy=None, lam=None, dlam=None, isSesans=None): |
|---|
| 707 | DataInfo.__init__(self) |
|---|
| 708 | plottable_1D.__init__(self, x, y, dx, dy,None, None, lam, dlam) |
|---|
| 709 | self.isSesans = isSesans |
|---|
| 710 | try: |
|---|
| 711 | if self.isSesans: # the data is SESANS |
|---|
| 712 | self.x_unit = 'A' |
|---|
| 713 | self.y_unit = 'pol' |
|---|
| 714 | elif not self.isSesans: # the data is SANS |
|---|
| 715 | self.x_unit = '1/A' |
|---|
| 716 | self.y_unit = '1/cm' |
|---|
| 717 | except: # the data is not recognized/supported, and the user is notified |
|---|
| 718 | raise TypeError('data not recognized, check documentation for supported 1D data formats') |
|---|
| 719 | |
|---|
| 720 | def __str__(self): |
|---|
| 721 | """ |
|---|
| 722 | Nice printout |
|---|
| 723 | """ |
|---|
| 724 | _str = "%s\n" % DataInfo.__str__(self) |
|---|
| 725 | _str += "Data:\n" |
|---|
| 726 | _str += " Type: %s\n" % self.__class__.__name__ |
|---|
| 727 | _str += " X-axis: %s\t[%s]\n" % (self._xaxis, self._xunit) |
|---|
| 728 | _str += " Y-axis: %s\t[%s]\n" % (self._yaxis, self._yunit) |
|---|
| 729 | _str += " Length: %g\n" % len(self.x) |
|---|
| 730 | return _str |
|---|
| 731 | |
|---|
| 732 | def is_slit_smeared(self): |
|---|
| 733 | """ |
|---|
| 734 | Check whether the data has slit smearing information |
|---|
| 735 | :return: True is slit smearing info is present, False otherwise |
|---|
| 736 | """ |
|---|
| 737 | def _check(v): |
|---|
| 738 | if (v.__class__ == list or v.__class__ == np.ndarray) \ |
|---|
| 739 | and len(v) > 0 and min(v) > 0: |
|---|
| 740 | return True |
|---|
| 741 | return False |
|---|
| 742 | return _check(self.dxl) or _check(self.dxw) |
|---|
| 743 | |
|---|
| 744 | def clone_without_data(self, length=0, clone=None): |
|---|
| 745 | """ |
|---|
| 746 | Clone the current object, without copying the data (which |
|---|
| 747 | will be filled out by a subsequent operation). |
|---|
| 748 | The data arrays will be initialized to zero. |
|---|
| 749 | |
|---|
| 750 | :param length: length of the data array to be initialized |
|---|
| 751 | :param clone: if provided, the data will be copied to clone |
|---|
| 752 | """ |
|---|
| 753 | from copy import deepcopy |
|---|
| 754 | |
|---|
| 755 | if clone is None or not issubclass(clone.__class__, Data1D): |
|---|
| 756 | x = np.zeros(length) |
|---|
| 757 | dx = np.zeros(length) |
|---|
| 758 | y = np.zeros(length) |
|---|
| 759 | dy = np.zeros(length) |
|---|
| 760 | lam = np.zeros(length) |
|---|
| 761 | dlam = np.zeros(length) |
|---|
| 762 | clone = Data1D(x, y, lam=lam, dx=dx, dy=dy, dlam=dlam) |
|---|
| 763 | |
|---|
| 764 | clone.title = self.title |
|---|
| 765 | clone.run = self.run |
|---|
| 766 | clone.filename = self.filename |
|---|
| 767 | clone.instrument = self.instrument |
|---|
| 768 | clone.notes = deepcopy(self.notes) |
|---|
| 769 | clone.process = deepcopy(self.process) |
|---|
| 770 | clone.detector = deepcopy(self.detector) |
|---|
| 771 | clone.sample = deepcopy(self.sample) |
|---|
| 772 | clone.source = deepcopy(self.source) |
|---|
| 773 | clone.collimation = deepcopy(self.collimation) |
|---|
| 774 | clone.trans_spectrum = deepcopy(self.trans_spectrum) |
|---|
| 775 | clone.meta_data = deepcopy(self.meta_data) |
|---|
| 776 | clone.errors = deepcopy(self.errors) |
|---|
| 777 | |
|---|
| 778 | return clone |
|---|
| 779 | |
|---|
| 780 | def _validity_check(self, other): |
|---|
| 781 | """ |
|---|
| 782 | Checks that the data lengths are compatible. |
|---|
| 783 | Checks that the x vectors are compatible. |
|---|
| 784 | Returns errors vectors equal to original |
|---|
| 785 | errors vectors if they were present or vectors |
|---|
| 786 | of zeros when none was found. |
|---|
| 787 | |
|---|
| 788 | :param other: other data set for operation |
|---|
| 789 | :return: dy for self, dy for other [numpy arrays] |
|---|
| 790 | :raise ValueError: when lengths are not compatible |
|---|
| 791 | """ |
|---|
| 792 | dy_other = None |
|---|
| 793 | if isinstance(other, Data1D): |
|---|
| 794 | # Check that data lengths are the same |
|---|
| 795 | if len(self.x) != len(other.x) or \ |
|---|
| 796 | len(self.y) != len(other.y): |
|---|
| 797 | msg = "Unable to perform operation: data length are not equal" |
|---|
| 798 | raise ValueError(msg) |
|---|
| 799 | # Here we could also extrapolate between data points |
|---|
| 800 | TOLERANCE = 0.01 |
|---|
| 801 | for i in range(len(self.x)): |
|---|
| 802 | if math.fabs((self.x[i] - other.x[i])/self.x[i]) > TOLERANCE: |
|---|
| 803 | msg = "Incompatible data sets: x-values do not match" |
|---|
| 804 | raise ValueError(msg) |
|---|
| 805 | |
|---|
| 806 | # Check that the other data set has errors, otherwise |
|---|
| 807 | # create zero vector |
|---|
| 808 | dy_other = other.dy |
|---|
| 809 | if other.dy is None or (len(other.dy) != len(other.y)): |
|---|
| 810 | dy_other = np.zeros(len(other.y)) |
|---|
| 811 | |
|---|
| 812 | # Check that we have errors, otherwise create zero vector |
|---|
| 813 | dy = self.dy |
|---|
| 814 | if self.dy is None or (len(self.dy) != len(self.y)): |
|---|
| 815 | dy = np.zeros(len(self.y)) |
|---|
| 816 | |
|---|
| 817 | return dy, dy_other |
|---|
| 818 | |
|---|
| 819 | def _perform_operation(self, other, operation): |
|---|
| 820 | """ |
|---|
| 821 | """ |
|---|
| 822 | # First, check the data compatibility |
|---|
| 823 | dy, dy_other = self._validity_check(other) |
|---|
| 824 | result = self.clone_without_data(len(self.x)) |
|---|
| 825 | if self.dxw is None: |
|---|
| 826 | result.dxw = None |
|---|
| 827 | else: |
|---|
| 828 | result.dxw = np.zeros(len(self.x)) |
|---|
| 829 | if self.dxl is None: |
|---|
| 830 | result.dxl = None |
|---|
| 831 | else: |
|---|
| 832 | result.dxl = np.zeros(len(self.x)) |
|---|
| 833 | |
|---|
| 834 | for i in range(len(self.x)): |
|---|
| 835 | result.x[i] = self.x[i] |
|---|
| 836 | if self.dx is not None and len(self.x) == len(self.dx): |
|---|
| 837 | result.dx[i] = self.dx[i] |
|---|
| 838 | if self.dxw is not None and len(self.x) == len(self.dxw): |
|---|
| 839 | result.dxw[i] = self.dxw[i] |
|---|
| 840 | if self.dxl is not None and len(self.x) == len(self.dxl): |
|---|
| 841 | result.dxl[i] = self.dxl[i] |
|---|
| 842 | |
|---|
| 843 | a = Uncertainty(self.y[i], dy[i]**2) |
|---|
| 844 | if isinstance(other, Data1D): |
|---|
| 845 | b = Uncertainty(other.y[i], dy_other[i]**2) |
|---|
| 846 | if other.dx is not None: |
|---|
| 847 | result.dx[i] *= self.dx[i] |
|---|
| 848 | result.dx[i] += (other.dx[i]**2) |
|---|
| 849 | result.dx[i] /= 2 |
|---|
| 850 | result.dx[i] = math.sqrt(result.dx[i]) |
|---|
| 851 | if result.dxl is not None and other.dxl is not None: |
|---|
| 852 | result.dxl[i] *= self.dxl[i] |
|---|
| 853 | result.dxl[i] += (other.dxl[i]**2) |
|---|
| 854 | result.dxl[i] /= 2 |
|---|
| 855 | result.dxl[i] = math.sqrt(result.dxl[i]) |
|---|
| 856 | else: |
|---|
| 857 | b = other |
|---|
| 858 | |
|---|
| 859 | output = operation(a, b) |
|---|
| 860 | result.y[i] = output.x |
|---|
| 861 | result.dy[i] = math.sqrt(math.fabs(output.variance)) |
|---|
| 862 | return result |
|---|
| 863 | |
|---|
| 864 | def _validity_check_union(self, other): |
|---|
| 865 | """ |
|---|
| 866 | Checks that the data lengths are compatible. |
|---|
| 867 | Checks that the x vectors are compatible. |
|---|
| 868 | Returns errors vectors equal to original |
|---|
| 869 | errors vectors if they were present or vectors |
|---|
| 870 | of zeros when none was found. |
|---|
| 871 | |
|---|
| 872 | :param other: other data set for operation |
|---|
| 873 | :return: bool |
|---|
| 874 | :raise ValueError: when data types are not compatible |
|---|
| 875 | """ |
|---|
| 876 | if not isinstance(other, Data1D): |
|---|
| 877 | msg = "Unable to perform operation: different types of data set" |
|---|
| 878 | raise ValueError(msg) |
|---|
| 879 | return True |
|---|
| 880 | |
|---|
| 881 | def _perform_union(self, other): |
|---|
| 882 | """ |
|---|
| 883 | """ |
|---|
| 884 | # First, check the data compatibility |
|---|
| 885 | self._validity_check_union(other) |
|---|
| 886 | result = self.clone_without_data(len(self.x) + len(other.x)) |
|---|
| 887 | if self.dy is None or other.dy is None: |
|---|
| 888 | result.dy = None |
|---|
| 889 | else: |
|---|
| 890 | result.dy = np.zeros(len(self.x) + len(other.x)) |
|---|
| 891 | if self.dx is None or other.dx is None: |
|---|
| 892 | result.dx = None |
|---|
| 893 | else: |
|---|
| 894 | result.dx = np.zeros(len(self.x) + len(other.x)) |
|---|
| 895 | if self.dxw is None or other.dxw is None: |
|---|
| 896 | result.dxw = None |
|---|
| 897 | else: |
|---|
| 898 | result.dxw = np.zeros(len(self.x) + len(other.x)) |
|---|
| 899 | if self.dxl is None or other.dxl is None: |
|---|
| 900 | result.dxl = None |
|---|
| 901 | else: |
|---|
| 902 | result.dxl = np.zeros(len(self.x) + len(other.x)) |
|---|
| 903 | |
|---|
| 904 | result.x = np.append(self.x, other.x) |
|---|
| 905 | #argsorting |
|---|
| 906 | ind = np.argsort(result.x) |
|---|
| 907 | result.x = result.x[ind] |
|---|
| 908 | result.y = np.append(self.y, other.y) |
|---|
| 909 | result.y = result.y[ind] |
|---|
| 910 | if result.dy is not None: |
|---|
| 911 | result.dy = np.append(self.dy, other.dy) |
|---|
| 912 | result.dy = result.dy[ind] |
|---|
| 913 | if result.dx is not None: |
|---|
| 914 | result.dx = np.append(self.dx, other.dx) |
|---|
| 915 | result.dx = result.dx[ind] |
|---|
| 916 | if result.dxw is not None: |
|---|
| 917 | result.dxw = np.append(self.dxw, other.dxw) |
|---|
| 918 | result.dxw = result.dxw[ind] |
|---|
| 919 | if result.dxl is not None: |
|---|
| 920 | result.dxl = np.append(self.dxl, other.dxl) |
|---|
| 921 | result.dxl = result.dxl[ind] |
|---|
| 922 | return result |
|---|
| 923 | |
|---|
| 924 | |
|---|
| 925 | class Data2D(plottable_2D, DataInfo): |
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| 926 | """ |
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| 927 | 2D data class |
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| 928 | """ |
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| 929 | ## Units for Q-values |
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| 930 | Q_unit = '1/A' |
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| 931 | ## Units for I(Q) values |
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| 932 | I_unit = '1/cm' |
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| 933 | ## Vector of Q-values at the center of each bin in x |
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| 934 | x_bins = None |
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| 935 | ## Vector of Q-values at the center of each bin in y |
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| 936 | y_bins = None |
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| 937 | ## No 2D SESANS data as of yet. Always set it to False |
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| 938 | isSesans = False |
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| 939 | |
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| 940 | def __init__(self, data=None, err_data=None, qx_data=None, |
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| 941 | qy_data=None, q_data=None, mask=None, |
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| 942 | dqx_data=None, dqy_data=None): |
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| 943 | DataInfo.__init__(self) |
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| 944 | plottable_2D.__init__(self, data, err_data, qx_data, |
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| 945 | qy_data, q_data, mask, dqx_data, dqy_data) |
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| 946 | self.y_bins = [] |
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| 947 | self.x_bins = [] |
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| 948 | |
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| 949 | if len(self.detector) > 0: |
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| 950 | raise RuntimeError("Data2D: Detector bank already filled at init") |
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| 951 | |
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| 952 | def __str__(self): |
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| 953 | _str = "%s\n" % DataInfo.__str__(self) |
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| 954 | _str += "Data:\n" |
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| 955 | _str += " Type: %s\n" % self.__class__.__name__ |
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| 956 | _str += " X- & Y-axis: %s\t[%s]\n" % (self._yaxis, self._yunit) |
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| 957 | _str += " Z-axis: %s\t[%s]\n" % (self._zaxis, self._zunit) |
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| 958 | _str += " Length: %g \n" % (len(self.data)) |
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| 959 | _str += " Shape: (%d, %d)\n" % (len(self.y_bins), len(self.x_bins)) |
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| 960 | return _str |
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| 961 | |
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| 962 | def clone_without_data(self, length=0, clone=None): |
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| 963 | """ |
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| 964 | Clone the current object, without copying the data (which |
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| 965 | will be filled out by a subsequent operation). |
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| 966 | The data arrays will be initialized to zero. |
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| 967 | |
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| 968 | :param length: length of the data array to be initialized |
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| 969 | :param clone: if provided, the data will be copied to clone |
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| 970 | """ |
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| 971 | from copy import deepcopy |
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| 972 | |
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| 973 | if clone is None or not issubclass(clone.__class__, Data2D): |
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| 974 | data = np.zeros(length) |
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| 975 | err_data = np.zeros(length) |
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| 976 | qx_data = np.zeros(length) |
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| 977 | qy_data = np.zeros(length) |
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| 978 | q_data = np.zeros(length) |
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| 979 | mask = np.zeros(length) |
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| 980 | dqx_data = None |
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| 981 | dqy_data = None |
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| 982 | clone = Data2D(data=data, err_data=err_data, |
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| 983 | qx_data=qx_data, qy_data=qy_data, |
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| 984 | q_data=q_data, mask=mask) |
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| 985 | |
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| 986 | clone.title = self.title |
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| 987 | clone.run = self.run |
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| 988 | clone.filename = self.filename |
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| 989 | clone.instrument = self.instrument |
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| 990 | clone.notes = deepcopy(self.notes) |
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| 991 | clone.process = deepcopy(self.process) |
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| 992 | clone.detector = deepcopy(self.detector) |
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| 993 | clone.sample = deepcopy(self.sample) |
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| 994 | clone.source = deepcopy(self.source) |
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| 995 | clone.collimation = deepcopy(self.collimation) |
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| 996 | clone.trans_spectrum = deepcopy(self.trans_spectrum) |
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| 997 | clone.meta_data = deepcopy(self.meta_data) |
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| 998 | clone.errors = deepcopy(self.errors) |
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| 999 | |
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| 1000 | return clone |
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| 1001 | |
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| 1002 | def _validity_check(self, other): |
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| 1003 | """ |
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| 1004 | Checks that the data lengths are compatible. |
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| 1005 | Checks that the x vectors are compatible. |
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| 1006 | Returns errors vectors equal to original |
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| 1007 | errors vectors if they were present or vectors |
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| 1008 | of zeros when none was found. |
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| 1009 | |
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| 1010 | :param other: other data set for operation |
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| 1011 | :return: dy for self, dy for other [numpy arrays] |
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| 1012 | :raise ValueError: when lengths are not compatible |
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| 1013 | """ |
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| 1014 | err_other = None |
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| 1015 | TOLERANCE = 0.01 |
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| 1016 | if isinstance(other, Data2D): |
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| 1017 | # Check that data lengths are the same |
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| 1018 | if len(self.data) != len(other.data) or \ |
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| 1019 | len(self.qx_data) != len(other.qx_data) or \ |
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| 1020 | len(self.qy_data) != len(other.qy_data): |
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| 1021 | msg = "Unable to perform operation: data length are not equal" |
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| 1022 | raise ValueError(msg) |
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| 1023 | for ind in range(len(self.data)): |
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| 1024 | if math.fabs((self.qx_data[ind] - other.qx_data[ind])/self.qx_data[ind]) > TOLERANCE: |
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| 1025 | msg = "Incompatible data sets: qx-values do not match: %s %s" % (self.qx_data[ind], other.qx_data[ind]) |
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| 1026 | raise ValueError(msg) |
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| 1027 | if math.fabs((self.qy_data[ind] - other.qy_data[ind])/self.qy_data[ind]) > TOLERANCE: |
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| 1028 | msg = "Incompatible data sets: qy-values do not match: %s %s" % (self.qy_data[ind], other.qy_data[ind]) |
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| 1029 | raise ValueError(msg) |
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| 1030 | |
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| 1031 | # Check that the scales match |
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| 1032 | err_other = other.err_data |
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| 1033 | if other.err_data is None or \ |
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| 1034 | (len(other.err_data) != len(other.data)): |
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| 1035 | err_other = np.zeros(len(other.data)) |
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| 1036 | |
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| 1037 | # Check that we have errors, otherwise create zero vector |
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| 1038 | err = self.err_data |
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| 1039 | if self.err_data is None or \ |
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| 1040 | (len(self.err_data) != len(self.data)): |
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| 1041 | err = np.zeros(len(other.data)) |
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| 1042 | return err, err_other |
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| 1043 | |
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| 1044 | def _perform_operation(self, other, operation): |
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| 1045 | """ |
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| 1046 | Perform 2D operations between data sets |
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| 1047 | |
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| 1048 | :param other: other data set |
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| 1049 | :param operation: function defining the operation |
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| 1050 | """ |
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| 1051 | # First, check the data compatibility |
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| 1052 | dy, dy_other = self._validity_check(other) |
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| 1053 | result = self.clone_without_data(np.size(self.data)) |
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| 1054 | if self.dqx_data is None or self.dqy_data is None: |
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| 1055 | result.dqx_data = None |
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| 1056 | result.dqy_data = None |
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| 1057 | else: |
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| 1058 | result.dqx_data = np.zeros(len(self.data)) |
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| 1059 | result.dqy_data = np.zeros(len(self.data)) |
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| 1060 | for i in range(np.size(self.data)): |
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| 1061 | result.data[i] = self.data[i] |
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| 1062 | if self.err_data is not None and \ |
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| 1063 | np.size(self.data) == np.size(self.err_data): |
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| 1064 | result.err_data[i] = self.err_data[i] |
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| 1065 | if self.dqx_data is not None: |
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| 1066 | result.dqx_data[i] = self.dqx_data[i] |
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| 1067 | if self.dqy_data is not None: |
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| 1068 | result.dqy_data[i] = self.dqy_data[i] |
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| 1069 | result.qx_data[i] = self.qx_data[i] |
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| 1070 | result.qy_data[i] = self.qy_data[i] |
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| 1071 | result.q_data[i] = self.q_data[i] |
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| 1072 | result.mask[i] = self.mask[i] |
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| 1073 | |
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| 1074 | a = Uncertainty(self.data[i], dy[i]**2) |
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| 1075 | if isinstance(other, Data2D): |
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| 1076 | b = Uncertainty(other.data[i], dy_other[i]**2) |
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| 1077 | if other.dqx_data is not None and \ |
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| 1078 | result.dqx_data is not None: |
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| 1079 | result.dqx_data[i] *= self.dqx_data[i] |
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| 1080 | result.dqx_data[i] += (other.dqx_data[i]**2) |
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| 1081 | result.dqx_data[i] /= 2 |
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| 1082 | result.dqx_data[i] = math.sqrt(result.dqx_data[i]) |
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| 1083 | if other.dqy_data is not None and \ |
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| 1084 | result.dqy_data is not None: |
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| 1085 | result.dqy_data[i] *= self.dqy_data[i] |
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| 1086 | result.dqy_data[i] += (other.dqy_data[i]**2) |
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| 1087 | result.dqy_data[i] /= 2 |
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| 1088 | result.dqy_data[i] = math.sqrt(result.dqy_data[i]) |
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| 1089 | else: |
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| 1090 | b = other |
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| 1091 | output = operation(a, b) |
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| 1092 | result.data[i] = output.x |
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| 1093 | result.err_data[i] = math.sqrt(math.fabs(output.variance)) |
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| 1094 | return result |
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| 1095 | |
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| 1096 | def _validity_check_union(self, other): |
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| 1097 | """ |
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| 1098 | Checks that the data lengths are compatible. |
|---|
| 1099 | Checks that the x vectors are compatible. |
|---|
| 1100 | Returns errors vectors equal to original |
|---|
| 1101 | errors vectors if they were present or vectors |
|---|
| 1102 | of zeros when none was found. |
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| 1103 | |
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| 1104 | :param other: other data set for operation |
|---|
| 1105 | :return: bool |
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| 1106 | :raise ValueError: when data types are not compatible |
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| 1107 | """ |
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| 1108 | if not isinstance(other, Data2D): |
|---|
| 1109 | msg = "Unable to perform operation: different types of data set" |
|---|
| 1110 | raise ValueError(msg) |
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| 1111 | return True |
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| 1112 | |
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| 1113 | def _perform_union(self, other): |
|---|
| 1114 | """ |
|---|
| 1115 | Perform 2D operations between data sets |
|---|
| 1116 | |
|---|
| 1117 | :param other: other data set |
|---|
| 1118 | :param operation: function defining the operation |
|---|
| 1119 | """ |
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| 1120 | # First, check the data compatibility |
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| 1121 | self._validity_check_union(other) |
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| 1122 | result = self.clone_without_data(np.size(self.data) + \ |
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| 1123 | np.size(other.data)) |
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| 1124 | result.xmin = self.xmin |
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| 1125 | result.xmax = self.xmax |
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| 1126 | result.ymin = self.ymin |
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| 1127 | result.ymax = self.ymax |
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| 1128 | if self.dqx_data is None or self.dqy_data is None or \ |
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| 1129 | other.dqx_data is None or other.dqy_data is None: |
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| 1130 | result.dqx_data = None |
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| 1131 | result.dqy_data = None |
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| 1132 | else: |
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| 1133 | result.dqx_data = np.zeros(len(self.data) + \ |
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| 1134 | np.size(other.data)) |
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| 1135 | result.dqy_data = np.zeros(len(self.data) + \ |
|---|
| 1136 | np.size(other.data)) |
|---|
| 1137 | |
|---|
| 1138 | result.data = np.append(self.data, other.data) |
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| 1139 | result.qx_data = np.append(self.qx_data, other.qx_data) |
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| 1140 | result.qy_data = np.append(self.qy_data, other.qy_data) |
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| 1141 | result.q_data = np.append(self.q_data, other.q_data) |
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| 1142 | result.mask = np.append(self.mask, other.mask) |
|---|
| 1143 | if result.err_data is not None: |
|---|
| 1144 | result.err_data = np.append(self.err_data, other.err_data) |
|---|
| 1145 | if self.dqx_data is not None: |
|---|
| 1146 | result.dqx_data = np.append(self.dqx_data, other.dqx_data) |
|---|
| 1147 | if self.dqy_data is not None: |
|---|
| 1148 | result.dqy_data = np.append(self.dqy_data, other.dqy_data) |
|---|
| 1149 | |
|---|
| 1150 | return result |
|---|
| 1151 | |
|---|
| 1152 | |
|---|
| 1153 | def combine_data_info_with_plottable(data, datainfo): |
|---|
| 1154 | """ |
|---|
| 1155 | A function that combines the DataInfo data in self.current_datainto with a plottable_1D or 2D data object. |
|---|
| 1156 | |
|---|
| 1157 | :param data: A plottable_1D or plottable_2D data object |
|---|
| 1158 | :return: A fully specified Data1D or Data2D object |
|---|
| 1159 | """ |
|---|
| 1160 | |
|---|
| 1161 | final_dataset = None |
|---|
| 1162 | if isinstance(data, plottable_1D): |
|---|
| 1163 | final_dataset = Data1D(data.x, data.y, isSesans=datainfo.isSesans) |
|---|
| 1164 | final_dataset.dx = data.dx |
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| 1165 | final_dataset.dy = data.dy |
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| 1166 | final_dataset.dxl = data.dxl |
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| 1167 | final_dataset.dxw = data.dxw |
|---|
| 1168 | final_dataset.x_unit = data._xunit |
|---|
| 1169 | final_dataset.y_unit = data._yunit |
|---|
| 1170 | final_dataset.xaxis(data._xaxis, data._xunit) |
|---|
| 1171 | final_dataset.yaxis(data._yaxis, data._yunit) |
|---|
| 1172 | elif isinstance(data, plottable_2D): |
|---|
| 1173 | final_dataset = Data2D(data.data, data.err_data, data.qx_data, data.qy_data, data.q_data, |
|---|
| 1174 | data.mask, data.dqx_data, data.dqy_data) |
|---|
| 1175 | final_dataset.xaxis(data._xaxis, data._xunit) |
|---|
| 1176 | final_dataset.yaxis(data._yaxis, data._yunit) |
|---|
| 1177 | final_dataset.zaxis(data._zaxis, data._zunit) |
|---|
| 1178 | if len(data.data.shape) == 2: |
|---|
| 1179 | n_rows, n_cols = data.data.shape |
|---|
| 1180 | final_dataset.y_bins = data.qy_data[0::int(n_cols)] |
|---|
| 1181 | final_dataset.x_bins = data.qx_data[:int(n_cols)] |
|---|
| 1182 | else: |
|---|
| 1183 | return_string = "Should Never Happen: _combine_data_info_with_plottable input is not a plottable1d or " + \ |
|---|
| 1184 | "plottable2d data object" |
|---|
| 1185 | return return_string |
|---|
| 1186 | |
|---|
| 1187 | if hasattr(data, "xmax"): |
|---|
| 1188 | final_dataset.xmax = data.xmax |
|---|
| 1189 | if hasattr(data, "ymax"): |
|---|
| 1190 | final_dataset.ymax = data.ymax |
|---|
| 1191 | if hasattr(data, "xmin"): |
|---|
| 1192 | final_dataset.xmin = data.xmin |
|---|
| 1193 | if hasattr(data, "ymin"): |
|---|
| 1194 | final_dataset.ymin = data.ymin |
|---|
| 1195 | final_dataset.isSesans = datainfo.isSesans |
|---|
| 1196 | final_dataset.title = datainfo.title |
|---|
| 1197 | final_dataset.run = datainfo.run |
|---|
| 1198 | final_dataset.run_name = datainfo.run_name |
|---|
| 1199 | final_dataset.filename = datainfo.filename |
|---|
| 1200 | final_dataset.notes = datainfo.notes |
|---|
| 1201 | final_dataset.process = datainfo.process |
|---|
| 1202 | final_dataset.instrument = datainfo.instrument |
|---|
| 1203 | final_dataset.detector = datainfo.detector |
|---|
| 1204 | final_dataset.sample = datainfo.sample |
|---|
| 1205 | final_dataset.source = datainfo.source |
|---|
| 1206 | final_dataset.collimation = datainfo.collimation |
|---|
| 1207 | final_dataset.trans_spectrum = datainfo.trans_spectrum |
|---|
| 1208 | final_dataset.meta_data = datainfo.meta_data |
|---|
| 1209 | final_dataset.errors = datainfo.errors |
|---|
| 1210 | return final_dataset |
|---|
