1 | import copy |
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2 | import numpy |
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3 | import pylab |
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4 | import functools |
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5 | import logging |
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6 | |
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7 | from PyQt5 import QtCore |
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8 | from PyQt5 import QtGui |
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9 | from PyQt5 import QtWidgets |
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10 | |
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11 | DEFAULT_CMAP = pylab.cm.jet |
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12 | |
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13 | #import sys |
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14 | #print("SYS.PATH = ", sys.path) |
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15 | import matplotlib as mpl |
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16 | mpl.use("Qt5Agg") |
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17 | |
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18 | from mpl_toolkits.mplot3d import Axes3D |
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19 | |
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20 | from sas.sascalc.dataloader.manipulations import CircularAverage |
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21 | |
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22 | from sas.qtgui.Plotting.PlotterData import Data1D |
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23 | from sas.qtgui.Plotting.PlotterData import Data2D |
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24 | |
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25 | import sas.qtgui.Plotting.PlotUtilities as PlotUtilities |
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26 | import sas.qtgui.Utilities.GuiUtils as GuiUtils |
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27 | from sas.qtgui.Plotting.PlotterBase import PlotterBase |
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28 | from sas.qtgui.Plotting.ColorMap import ColorMap |
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29 | from sas.qtgui.Plotting.BoxSum import BoxSum |
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30 | from sas.qtgui.Plotting.SlicerParameters import SlicerParameters |
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31 | from sas.qtgui.Plotting.Binder import BindArtist |
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32 | |
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33 | # TODO: move to sas.qtgui namespace |
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34 | from sas.qtgui.Plotting.Slicers.BoxSlicer import BoxInteractorX |
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35 | from sas.qtgui.Plotting.Slicers.BoxSlicer import BoxInteractorY |
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36 | from sas.qtgui.Plotting.Slicers.AnnulusSlicer import AnnulusInteractor |
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37 | from sas.qtgui.Plotting.Slicers.SectorSlicer import SectorInteractor |
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38 | from sas.qtgui.Plotting.Slicers.BoxSum import BoxSumCalculator |
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39 | |
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40 | # Minimum value of Z for which we will present data. |
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41 | MIN_Z = -32 |
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42 | |
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43 | class Plotter2DWidget(PlotterBase): |
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44 | """ |
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45 | 2D Plot widget for use with a QDialog |
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46 | """ |
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47 | def __init__(self, parent=None, manager=None, quickplot=False, dimension=2): |
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48 | self.dimension = dimension |
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49 | super(Plotter2DWidget, self).__init__(parent, manager=manager, quickplot=quickplot) |
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50 | |
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51 | self.cmap = DEFAULT_CMAP.name |
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52 | # Default scale |
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53 | self.scale = 'log_{10}' |
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54 | # to set the order of lines drawn first. |
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55 | self.slicer_z = 5 |
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56 | # Reference to the current slicer |
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57 | self.slicer = None |
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58 | self.slicer_widget = None |
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59 | # Create Artist and bind it |
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60 | self.connect = BindArtist(self.figure) |
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61 | self.vmin = None |
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62 | self.vmax = None |
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63 | self.im = None |
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64 | |
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65 | self.manager = manager |
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66 | |
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67 | @property |
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68 | def data(self): |
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69 | return self._data |
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70 | |
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71 | @data.setter |
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72 | def data(self, data=None): |
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73 | """ data setter """ |
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74 | self._data = data |
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75 | self.qx_data = data.qx_data |
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76 | self.qy_data = data.qy_data |
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77 | self.xmin = data.xmin |
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78 | self.xmax = data.xmax |
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79 | self.ymin = data.ymin |
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80 | self.ymax = data.ymax |
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81 | self.zmin = data.zmin |
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82 | self.zmax = data.zmax |
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83 | self.label = data.name |
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84 | self.xLabel = "%s(%s)"%(data._xaxis, data._xunit) |
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85 | self.yLabel = "%s(%s)"%(data._yaxis, data._yunit) |
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86 | self.title(title=data.title) |
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87 | |
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88 | def plot(self, data=None, marker=None, show_colorbar=True): |
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89 | """ |
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90 | Plot 2D self._data |
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91 | marker - unused |
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92 | """ |
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93 | # Assing data |
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94 | if isinstance(data, Data2D): |
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95 | self.data = data |
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96 | |
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97 | assert self._data |
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98 | |
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99 | # Toggle the scale |
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100 | zmin_2D_temp, zmax_2D_temp = self.calculateDepth() |
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101 | |
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102 | # Prepare and show the plot |
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103 | self.showPlot(data=self.data.data, |
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104 | qx_data=self.qx_data, |
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105 | qy_data=self.qy_data, |
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106 | xmin=self.xmin, |
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107 | xmax=self.xmax, |
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108 | ymin=self.ymin, ymax=self.ymax, |
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109 | cmap=self.cmap, zmin=zmin_2D_temp, |
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110 | zmax=zmax_2D_temp, show_colorbar=show_colorbar) |
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111 | |
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112 | def calculateDepth(self): |
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113 | """ |
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114 | Re-calculate the plot depth parameters depending on the scale |
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115 | """ |
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116 | # Toggle the scale |
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117 | zmin_temp = self.zmin if self.zmin else MIN_Z |
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118 | zmax_temp = self.zmax |
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119 | # self.scale predefined in the baseclass |
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120 | # in numpy > 1.12 power(int, -int) raises ValueException |
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121 | # "Integers to negative integer powers are not allowed." |
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122 | if self.scale == 'log_{10}': |
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123 | if self.zmin is not None: |
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124 | zmin_temp = numpy.power(10.0, self.zmin) |
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125 | if self.zmax is not None: |
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126 | zmax_temp = numpy.power(10.0, self.zmax) |
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127 | else: |
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128 | if self.zmin is not None: |
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129 | # min log value: no log(negative) |
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130 | zmin_temp = MIN_Z if self.zmin <= 0 else numpy.log10(self.zmin) |
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131 | if self.zmax is not None: |
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132 | zmax_temp = numpy.log10(self.zmax) |
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133 | |
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134 | return (zmin_temp, zmax_temp) |
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135 | |
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136 | |
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137 | def createContextMenu(self): |
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138 | """ |
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139 | Define common context menu and associated actions for the MPL widget |
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140 | """ |
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141 | self.defaultContextMenu() |
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142 | |
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143 | self.contextMenu.addSeparator() |
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144 | self.actionDataInfo = self.contextMenu.addAction("&DataInfo") |
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145 | self.actionDataInfo.triggered.connect( |
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146 | functools.partial(self.onDataInfo, self.data)) |
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147 | |
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148 | self.actionSavePointsAsFile = self.contextMenu.addAction("&Save Points as a File") |
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149 | self.actionSavePointsAsFile.triggered.connect( |
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150 | functools.partial(self.onSavePoints, self.data)) |
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151 | self.contextMenu.addSeparator() |
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152 | |
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153 | self.actionCircularAverage = self.contextMenu.addAction("&Perform Circular Average") |
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154 | self.actionCircularAverage.triggered.connect(self.onCircularAverage) |
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155 | |
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156 | self.actionSectorView = self.contextMenu.addAction("&Sector [Q View]") |
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157 | self.actionSectorView.triggered.connect(self.onSectorView) |
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158 | self.actionAnnulusView = self.contextMenu.addAction("&Annulus [Phi View]") |
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159 | self.actionAnnulusView.triggered.connect(self.onAnnulusView) |
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160 | self.actionBoxSum = self.contextMenu.addAction("&Box Sum") |
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161 | self.actionBoxSum.triggered.connect(self.onBoxSum) |
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162 | self.actionBoxAveragingX = self.contextMenu.addAction("&Box Averaging in Qx") |
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163 | self.actionBoxAveragingX.triggered.connect(self.onBoxAveragingX) |
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164 | self.actionBoxAveragingY = self.contextMenu.addAction("&Box Averaging in Qy") |
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165 | self.actionBoxAveragingY.triggered.connect(self.onBoxAveragingY) |
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166 | # Additional items for slicer interaction |
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167 | if self.slicer: |
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168 | self.actionClearSlicer = self.contextMenu.addAction("&Clear Slicer") |
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169 | self.actionClearSlicer.triggered.connect(self.onClearSlicer) |
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170 | if self.slicer.__class__.__name__ != "BoxSumCalculator": |
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171 | self.actionEditSlicer = self.contextMenu.addAction("&Edit Slicer Parameters") |
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172 | self.actionEditSlicer.triggered.connect(self.onEditSlicer) |
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173 | self.contextMenu.addSeparator() |
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174 | self.actionColorMap = self.contextMenu.addAction("&2D Color Map") |
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175 | self.actionColorMap.triggered.connect(self.onColorMap) |
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176 | self.contextMenu.addSeparator() |
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177 | self.actionChangeScale = self.contextMenu.addAction("Toggle Linear/Log Scale") |
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178 | self.actionChangeScale.triggered.connect(self.onToggleScale) |
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179 | |
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180 | def createContextMenuQuick(self): |
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181 | """ |
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182 | Define context menu and associated actions for the quickplot MPL widget |
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183 | """ |
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184 | self.defaultContextMenu() |
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185 | |
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186 | if self.dimension == 2: |
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187 | self.actionToggleGrid = self.contextMenu.addAction("Toggle Grid On/Off") |
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188 | self.contextMenu.addSeparator() |
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189 | self.actionChangeScale = self.contextMenu.addAction("Toggle Linear/Log Scale") |
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190 | |
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191 | # Define the callbacks |
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192 | self.actionChangeScale.triggered.connect(self.onToggleScale) |
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193 | if self.dimension == 2: |
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194 | self.actionToggleGrid.triggered.connect(self.onGridToggle) |
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195 | |
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196 | def onToggleScale(self, event): |
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197 | """ |
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198 | Toggle axis and replot image |
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199 | """ |
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200 | # self.scale predefined in the baseclass |
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201 | if self.scale == 'log_{10}': |
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202 | self.scale = 'linear' |
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203 | else: |
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204 | self.scale = 'log_{10}' |
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205 | |
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206 | self.plot() |
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207 | |
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208 | def onClearSlicer(self): |
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209 | """ |
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210 | Remove all sclicers from the chart |
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211 | """ |
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212 | if self.slicer is None: |
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213 | return |
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214 | |
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215 | self.slicer.clear() |
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216 | self.canvas.draw() |
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217 | self.slicer = None |
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218 | |
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219 | def onEditSlicer(self): |
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220 | """ |
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221 | Present a small dialog for manipulating the current slicer |
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222 | """ |
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223 | assert self.slicer |
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224 | # Only show the dialog if not currently shown |
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225 | if self.slicer_widget: |
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226 | return |
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227 | def slicer_closed(): |
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228 | # Need to disconnect the signal!! |
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229 | self.slicer_widget.close_signal.disconnect() |
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230 | # reset slicer_widget on "Edit Slicer Parameters" window close |
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231 | self.slicer_widget = None |
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232 | |
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233 | self.param_model = self.slicer.model() |
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234 | # Pass the model to the Slicer Parameters widget |
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235 | self.slicer_widget = SlicerParameters(model=self.param_model, |
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236 | validate_method=self.slicer.validate) |
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237 | self.slicer_widget.close_signal.connect(slicer_closed) |
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238 | # Add the plot to the workspace |
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239 | self.manager.parent.workspace().addSubWindow(self.slicer_widget) |
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240 | |
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241 | self.slicer_widget.show() |
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242 | |
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243 | def onCircularAverage(self): |
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244 | """ |
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245 | Perform circular averaging on Data2D |
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246 | """ |
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247 | # Find the best number of bins |
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248 | npt = numpy.sqrt(len(self.data.data[numpy.isfinite(self.data.data)])) |
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249 | npt = numpy.floor(npt) |
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250 | # compute the maximum radius of data2D |
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251 | self.qmax = max(numpy.fabs(self.data.xmax), |
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252 | numpy.fabs(self.data.xmin)) |
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253 | self.ymax = max(numpy.fabs(self.data.ymax), |
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254 | numpy.fabs(self.data.ymin)) |
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255 | self.radius = numpy.sqrt(numpy.power(self.qmax, 2) + numpy.power(self.ymax, 2)) |
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256 | #Compute beam width |
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257 | bin_width = (self.qmax + self.qmax) / npt |
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258 | # Create data1D circular average of data2D |
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259 | circle = CircularAverage(r_min=0, r_max=self.radius, bin_width=bin_width) |
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260 | circ = circle(self.data) |
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261 | dxl = circ.dxl if hasattr(circ, "dxl") else None |
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262 | dxw = circ.dxw if hasattr(circ, "dxw") else None |
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263 | |
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264 | new_plot = Data1D(x=circ.x, y=circ.y, dy=circ.dy, dx=circ.dx) |
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265 | new_plot.dxl = dxl |
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266 | new_plot.dxw = dxw |
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267 | new_plot.name = new_plot.title = "Circ avg " + self.data.name |
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268 | new_plot.source = self.data.source |
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269 | new_plot.interactive = True |
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270 | new_plot.detector = self.data.detector |
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271 | |
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272 | # Define axes if not done yet. |
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273 | new_plot.xaxis("\\rm{Q}", "A^{-1}") |
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274 | if hasattr(self.data, "scale") and \ |
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275 | self.data.scale == 'linear': |
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276 | new_plot.ytransform = 'y' |
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277 | new_plot.yaxis("\\rm{Residuals} ", "normalized") |
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278 | else: |
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279 | new_plot.yaxis("\\rm{Intensity} ", "cm^{-1}") |
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280 | |
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281 | new_plot.group_id = "2daverage" + self.data.name |
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282 | new_plot.id = "Circ avg " + self.data.name |
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283 | new_plot.is_data = True |
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284 | GuiUtils.updateModelItemWithPlot(self._item, new_plot, new_plot.id) |
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285 | |
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286 | self.manager.communicator.plotUpdateSignal.emit([new_plot]) |
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287 | |
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288 | def setSlicer(self, slicer): |
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289 | """ |
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290 | Clear the previous slicer and create a new one. |
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291 | slicer: slicer class to create |
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292 | """ |
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293 | # Clear current slicer |
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294 | if self.slicer is not None: |
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295 | self.slicer.clear() |
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296 | # Create a new slicer |
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297 | self.slicer_z += 1 |
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298 | self.slicer = slicer(self, self.ax, item=self._item, zorder=self.slicer_z) |
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299 | self.ax.set_ylim(self.data.ymin, self.data.ymax) |
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300 | self.ax.set_xlim(self.data.xmin, self.data.xmax) |
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301 | # Draw slicer |
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302 | self.figure.canvas.draw() |
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303 | self.slicer.update() |
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304 | |
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305 | # Reset the model on the Edit slicer parameters widget |
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306 | self.param_model = self.slicer.model() |
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307 | if self.slicer_widget: |
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308 | self.slicer_widget.setModel(self.param_model) |
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309 | |
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310 | def onSectorView(self): |
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311 | """ |
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312 | Perform sector averaging on Q and draw sector slicer |
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313 | """ |
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314 | self.setSlicer(slicer=SectorInteractor) |
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315 | |
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316 | def onAnnulusView(self): |
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317 | """ |
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318 | Perform sector averaging on Phi and draw annulus slicer |
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319 | """ |
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320 | self.setSlicer(slicer=AnnulusInteractor) |
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321 | |
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322 | def onBoxSum(self): |
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323 | """ |
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324 | Perform 2D Data averaging Qx and Qy. |
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325 | Display box slicer details. |
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326 | """ |
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327 | self.onClearSlicer() |
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328 | self.slicer_z += 1 |
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329 | self.slicer = BoxSumCalculator(self, self.ax, zorder=self.slicer_z) |
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330 | |
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331 | self.ax.set_ylim(self.data.ymin, self.data.ymax) |
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332 | self.ax.set_xlim(self.data.xmin, self.data.xmax) |
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333 | self.figure.canvas.draw() |
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334 | self.slicer.update() |
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335 | |
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336 | # Get the BoxSumCalculator model. |
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337 | self.box_sum_model = self.slicer.model() |
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338 | # Pass the BoxSumCalculator model to the BoxSum widget |
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339 | self.boxwidget = BoxSum(self, model=self.box_sum_model) |
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340 | # Add the plot to the workspace |
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341 | self.manager.parent.workspace().addSubWindow(self.boxwidget) |
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342 | self.boxwidget.show() |
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343 | |
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344 | def onBoxAveragingX(self): |
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345 | """ |
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346 | Perform 2D data averaging on Qx |
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347 | Create a new slicer. |
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348 | """ |
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349 | self.setSlicer(slicer=BoxInteractorX) |
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350 | |
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351 | def onBoxAveragingY(self): |
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352 | """ |
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353 | Perform 2D data averaging on Qy |
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354 | Create a new slicer . |
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355 | """ |
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356 | self.setSlicer(slicer=BoxInteractorY) |
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357 | |
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358 | def onColorMap(self): |
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359 | """ |
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360 | Display the color map dialog and modify the plot's map accordingly |
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361 | """ |
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362 | color_map_dialog = ColorMap(self, cmap=self.cmap, |
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363 | vmin=self.vmin, |
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364 | vmax=self.vmax, |
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365 | data=self.data) |
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366 | |
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367 | color_map_dialog.apply_signal.connect(self.onApplyMap) |
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368 | |
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369 | if color_map_dialog.exec_() == QtWidgets.QDialog.Accepted: |
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370 | self.onApplyMap(color_map_dialog.norm(), color_map_dialog.cmap()) |
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371 | |
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372 | def onApplyMap(self, v_values, cmap): |
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373 | """ |
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374 | Update the chart color map based on data passed from the widget |
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375 | """ |
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376 | self.cmap = str(cmap) |
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377 | self.vmin, self.vmax = v_values |
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378 | # Redraw the chart with new cmap |
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379 | self.plot() |
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380 | |
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381 | def showPlot(self, data, qx_data, qy_data, xmin, xmax, ymin, ymax, |
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382 | zmin, zmax, label='data2D', cmap=DEFAULT_CMAP, show_colorbar=True): |
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383 | """ |
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384 | Render and show the current data |
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385 | """ |
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386 | self.qx_data = qx_data |
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387 | self.qy_data = qy_data |
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388 | self.xmin = xmin |
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389 | self.xmax = xmax |
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390 | self.ymin = ymin |
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391 | self.ymax = ymax |
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392 | self.zmin = zmin |
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393 | self.zmax = zmax |
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394 | # If we don't have any data, skip. |
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395 | if data is None: |
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396 | return |
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397 | if data.ndim == 0: |
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398 | return |
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399 | elif data.ndim == 1: |
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400 | output = PlotUtilities.build_matrix(data, self.qx_data, self.qy_data) |
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401 | else: |
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402 | output = copy.deepcopy(data) |
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403 | |
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404 | zmin_temp = self.zmin |
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405 | # check scale |
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406 | if self.scale == 'log_{10}': |
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407 | try: |
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408 | if self.zmin <= 0 and len(output[output > 0]) > 0: |
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409 | zmin_temp = self.zmin |
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410 | output[output > 0] = numpy.log10(output[output > 0]) |
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411 | elif self.zmin <= 0: |
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412 | zmin_temp = self.zmin |
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413 | output[output > 0] = numpy.zeros(len(output)) |
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414 | output[output <= 0] = MIN_Z |
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415 | else: |
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416 | zmin_temp = self.zmin |
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417 | output[output > 0] = numpy.log10(output[output > 0]) |
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418 | except: |
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419 | #Too many problems in 2D plot with scale |
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420 | output[output > 0] = numpy.log10(output[output > 0]) |
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421 | pass |
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422 | |
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423 | self.cmap = cmap |
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424 | if self.dimension != 3: |
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425 | #Re-adjust colorbar |
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426 | self.figure.subplots_adjust(left=0.2, right=.8, bottom=.2) |
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427 | |
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428 | zmax_temp = self.zmax |
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429 | if self.vmin is not None: |
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430 | zmin_temp = self.vmin |
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431 | zmax_temp = self.vmax |
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432 | if self.im is not None: |
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433 | self.im.set_data(output) |
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434 | else: |
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435 | self.im = self.ax.imshow(output, interpolation='nearest', |
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436 | # origin='lower', |
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437 | vmin=zmin_temp, vmax=zmax_temp, |
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438 | cmap=self.cmap, |
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439 | extent=(self.xmin, self.xmax, |
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440 | self.ymin, self.ymax)) |
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441 | |
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442 | cbax = self.figure.add_axes([0.84, 0.2, 0.02, 0.7]) |
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443 | |
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444 | # Current labels for axes |
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445 | self.ax.set_ylabel(self.y_label) |
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446 | self.ax.set_xlabel(self.x_label) |
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447 | |
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448 | # Title only for regular charts |
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449 | if not self.quickplot: |
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450 | self.ax.set_title(label=self._title) |
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451 | |
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452 | if cbax is None: |
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453 | ax.set_frame_on(False) |
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454 | cb = self.figure.colorbar(self.im, shrink=0.8, aspect=20) |
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455 | else: |
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456 | cb = self.figure.colorbar(self.im, cax=cbax) |
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457 | |
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458 | cb.update_bruteforce(self.im) |
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459 | cb.set_label('$' + self.scale + '$') |
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460 | |
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461 | self.vmin = cb.vmin |
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462 | self.vmax = cb.vmax |
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463 | |
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464 | if show_colorbar is False: |
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465 | cb.remove() |
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466 | |
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467 | else: |
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468 | # clear the previous 2D from memory |
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469 | self.figure.clear() |
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470 | |
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471 | self.figure.subplots_adjust(left=0.1, right=.8, bottom=.1) |
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472 | |
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473 | data_x, data_y = numpy.meshgrid(self._data.x_bins[0:-1], |
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474 | self._data.y_bins[0:-1]) |
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475 | |
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476 | ax = Axes3D(self.figure) |
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477 | |
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478 | # Disable rotation for large sets. |
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479 | # TODO: Define "large" for a dataset |
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480 | SET_TOO_LARGE = 500 |
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481 | if len(data_x) > SET_TOO_LARGE: |
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482 | ax.disable_mouse_rotation() |
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483 | |
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484 | self.figure.canvas.resizing = False |
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485 | im = ax.plot_surface(data_x, data_y, output, rstride=1, |
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486 | cstride=1, cmap=cmap, |
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487 | linewidth=0, antialiased=False) |
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488 | self.ax.set_axis_off() |
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489 | |
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490 | if self.dimension != 3: |
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491 | self.figure.canvas.draw_idle() |
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492 | else: |
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493 | self.figure.canvas.draw() |
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494 | |
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495 | def update(self): |
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496 | self.figure.canvas.draw() |
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497 | |
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498 | def draw(self): |
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499 | self.figure.canvas.draw() |
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500 | |
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501 | def replacePlot(self, id, new_plot): |
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502 | """ |
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503 | Replace data in current chart. |
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504 | This effectively refreshes the chart with changes to one of its plots |
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505 | """ |
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506 | self.plot(data=new_plot) |
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507 | |
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508 | |
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509 | class Plotter2D(QtWidgets.QDialog, Plotter2DWidget): |
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510 | """ |
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511 | Plotter widget implementation |
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512 | """ |
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513 | def __init__(self, parent=None, quickplot=False, dimension=2): |
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514 | QtWidgets.QDialog.__init__(self) |
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515 | Plotter2DWidget.__init__(self, manager=parent, quickplot=quickplot, dimension=dimension) |
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516 | icon = QtGui.QIcon() |
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517 | icon.addPixmap(QtGui.QPixmap(":/res/ball.ico"), QtGui.QIcon.Normal, QtGui.QIcon.Off) |
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518 | self.setWindowIcon(icon) |
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