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 | |
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6 | from PyQt4 import QtGui |
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7 | from PyQt4 import QtCore |
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8 | |
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9 | DEFAULT_CMAP = pylab.cm.jet |
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10 | from mpl_toolkits.mplot3d import Axes3D |
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11 | |
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12 | import sas.qtgui.PlotUtilities as PlotUtilities |
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13 | from sas.qtgui.PlotterBase import PlotterBase |
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14 | from sas.qtgui.ColorMap import ColorMap |
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15 | from sas.sasgui.guiframe.dataFitting import Data2D |
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16 | |
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17 | # Minimum value of Z for which we will present data. |
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18 | MIN_Z=-32 |
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19 | |
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20 | class Plotter2DWidget(PlotterBase): |
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21 | """ |
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22 | 2D Plot widget for use with a QDialog |
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23 | """ |
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24 | def __init__(self, parent=None, manager=None, quickplot=False, dimension=2): |
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25 | self.dimension = dimension |
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26 | super(Plotter2DWidget, self).__init__(parent, manager=manager, quickplot=quickplot) |
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27 | |
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28 | self.cmap = DEFAULT_CMAP.name |
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29 | # Default scale |
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30 | self.scale = 'log_{10}' |
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31 | self.vmin = None |
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32 | self.vmax = None |
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33 | |
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34 | @property |
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35 | def data(self): |
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36 | return self._data |
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37 | |
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38 | @data.setter |
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39 | def data(self, data=None): |
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40 | """ data setter """ |
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41 | self._data = data |
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42 | self.qx_data = data.qx_data |
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43 | self.qy_data = data.qy_data |
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44 | self.xmin = data.xmin |
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45 | self.xmax = data.xmax |
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46 | self.ymin = data.ymin |
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47 | self.ymax = data.ymax |
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48 | self.zmin = data.zmin |
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49 | self.zmax = data.zmax |
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50 | self.label = data.name |
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51 | self.xLabel = "%s(%s)"%(data._xaxis, data._xunit) |
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52 | self.yLabel = "%s(%s)"%(data._yaxis, data._yunit) |
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53 | self.title(title=data.title) |
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54 | |
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55 | def plot(self, data=None, marker=None, linestyle=None): |
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56 | """ |
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57 | Plot 2D self._data |
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58 | """ |
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59 | # Assing data |
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60 | if isinstance(data, Data2D): |
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61 | self.data = data |
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62 | |
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63 | assert(self._data) |
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64 | |
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65 | # Toggle the scale |
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66 | zmin_2D_temp, zmax_2D_temp = self.calculateDepth() |
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67 | |
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68 | # Prepare and show the plot |
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69 | self.showPlot(data=self.data.data, |
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70 | qx_data=self.qx_data, |
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71 | qy_data=self.qy_data, |
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72 | xmin=self.xmin, |
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73 | xmax=self.xmax, |
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74 | ymin=self.ymin, ymax=self.ymax, |
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75 | cmap=self.cmap, zmin=zmin_2D_temp, |
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76 | zmax=zmax_2D_temp) |
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77 | |
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78 | def calculateDepth(self): |
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79 | """ |
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80 | Re-calculate the plot depth parameters depending on the scale |
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81 | """ |
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82 | # Toggle the scale |
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83 | zmin_temp = self.zmin |
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84 | zmax_temp = self.zmax |
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85 | # self.scale predefined in the baseclass |
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86 | if self.scale == 'log_{10}': |
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87 | if self.zmin is not None: |
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88 | zmin_temp = numpy.power(10, self.zmin) |
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89 | if self.zmax is not None: |
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90 | zmax_temp = numpy.power(10, self.zmax) |
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91 | else: |
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92 | if self.zmin is not None: |
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93 | # min log value: no log(negative) |
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94 | zmin_temp = MIN_Z if self.zmin <= 0 else numpy.log10(self.zmin) |
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95 | if self.zmax is not None: |
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96 | zmax_temp = numpy.log10(self.zmax) |
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97 | |
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98 | return (zmin_temp, zmax_temp) |
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99 | |
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100 | |
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101 | def createContextMenu(self): |
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102 | """ |
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103 | Define common context menu and associated actions for the MPL widget |
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104 | """ |
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105 | self.defaultContextMenu() |
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106 | |
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107 | self.contextMenu.addSeparator() |
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108 | self.actionDataInfo = self.contextMenu.addAction("&DataInfo") |
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109 | self.actionDataInfo.triggered.connect( |
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110 | functools.partial(self.onDataInfo, self.data)) |
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111 | |
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112 | self.actionSavePointsAsFile = self.contextMenu.addAction("&Save Points as a File") |
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113 | self.actionSavePointsAsFile.triggered.connect( |
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114 | functools.partial(self.onSavePoints, self.data)) |
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115 | self.contextMenu.addSeparator() |
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116 | |
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117 | self.actionCircularAverage = self.contextMenu.addAction("&Perform Circular Average") |
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118 | self.actionCircularAverage.triggered.connect(self.onCircularAverage) |
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119 | |
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120 | self.actionSectorView = self.contextMenu.addAction("&Sector [Q View]") |
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121 | self.actionSectorView.triggered.connect(self.onSectorView) |
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122 | self.actionAnnulusView = self.contextMenu.addAction("&Annulus [Phi View]") |
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123 | self.actionAnnulusView.triggered.connect(self.onAnnulusView) |
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124 | self.actionBoxSum = self.contextMenu.addAction("&Box Sum") |
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125 | self.actionBoxSum.triggered.connect(self.onBoxSum) |
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126 | self.actionBoxAveragingX = self.contextMenu.addAction("&Box Averaging in Qx") |
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127 | self.actionBoxAveragingX.triggered.connect(self.onBoxAveragingX) |
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128 | self.actionBoxAveragingY = self.contextMenu.addAction("&Box Averaging in Qy") |
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129 | self.actionBoxAveragingY.triggered.connect(self.onBoxAveragingY) |
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130 | self.contextMenu.addSeparator() |
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131 | self.actionEditGraphLabel = self.contextMenu.addAction("&Edit Graph Label") |
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132 | self.actionEditGraphLabel.triggered.connect(self.onEditgraphLabel) |
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133 | self.contextMenu.addSeparator() |
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134 | self.actionColorMap = self.contextMenu.addAction("&2D Color Map") |
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135 | self.actionColorMap.triggered.connect(self.onColorMap) |
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136 | self.contextMenu.addSeparator() |
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137 | self.actionChangeScale = self.contextMenu.addAction("Toggle Linear/Log Scale") |
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138 | self.actionChangeScale.triggered.connect(self.onToggleScale) |
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139 | |
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140 | def createContextMenuQuick(self): |
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141 | """ |
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142 | Define context menu and associated actions for the quickplot MPL widget |
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143 | """ |
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144 | self.defaultContextMenu() |
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145 | |
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146 | if self.dimension == 2: |
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147 | self.actionToggleGrid = self.contextMenu.addAction("Toggle Grid On/Off") |
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148 | self.contextMenu.addSeparator() |
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149 | self.actionChangeScale = self.contextMenu.addAction("Toggle Linear/Log Scale") |
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150 | |
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151 | # Define the callbacks |
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152 | self.actionChangeScale.triggered.connect(self.onToggleScale) |
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153 | if self.dimension == 2: |
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154 | self.actionToggleGrid.triggered.connect(self.onGridToggle) |
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155 | |
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156 | def onToggleScale(self, event): |
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157 | """ |
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158 | Toggle axis and replot image |
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159 | """ |
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160 | # self.scale predefined in the baseclass |
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161 | if self.scale == 'log_{10}': |
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162 | self.scale = 'linear' |
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163 | else: |
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164 | self.scale = 'log_{10}' |
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165 | |
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166 | self.plot() |
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167 | |
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168 | def onCircularAverage(self): |
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169 | """ |
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170 | """ |
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171 | pass |
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172 | |
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173 | def onSectorView(self): |
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174 | """ |
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175 | """ |
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176 | pass |
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177 | |
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178 | def onAnnulusView(self): |
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179 | """ |
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180 | """ |
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181 | pass |
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182 | |
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183 | def onBoxSum(self): |
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184 | """ |
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185 | """ |
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186 | pass |
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187 | |
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188 | def onBoxAveragingX(self): |
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189 | """ |
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190 | """ |
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191 | pass |
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192 | |
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193 | def onBoxAveragingY(self): |
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194 | """ |
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195 | """ |
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196 | pass |
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197 | |
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198 | def onEditgraphLabel(self): |
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199 | """ |
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200 | """ |
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201 | pass |
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202 | |
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203 | def onColorMap(self): |
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204 | """ |
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205 | Display the color map dialog and modify the plot's map accordingly |
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206 | """ |
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207 | color_map_dialog = ColorMap(self, cmap=self.cmap, |
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208 | vmin=self.vmin, |
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209 | vmax=self.vmax, |
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210 | data=self.data) |
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211 | |
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212 | color_map_dialog.apply_signal.connect(self.onApplyMap) |
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213 | |
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214 | if color_map_dialog.exec_() == QtGui.QDialog.Accepted: |
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215 | self.onApplyMap(color_map_dialog.norm(), color_map_dialog.cmap()) |
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216 | |
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217 | def onApplyMap(self, v_values, cmap): |
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218 | """ |
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219 | Update the chart color map based on data passed from the widget |
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220 | """ |
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221 | self.cmap = str(cmap) |
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222 | self.vmin, self.vmax = v_values |
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223 | # Redraw the chart with new cmap |
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224 | self.plot() |
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225 | |
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226 | def showPlot(self, data, qx_data, qy_data, xmin, xmax, ymin, ymax, |
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227 | zmin, zmax, color=0, symbol=0, markersize=0, |
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228 | label='data2D', cmap=DEFAULT_CMAP): |
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229 | """ |
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230 | Render and show the current data |
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231 | """ |
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232 | self.qx_data = qx_data |
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233 | self.qy_data = qy_data |
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234 | self.xmin = xmin |
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235 | self.xmax = xmax |
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236 | self.ymin = ymin |
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237 | self.ymax = ymax |
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238 | self.zmin = zmin |
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239 | self.zmax = zmax |
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240 | # If we don't have any data, skip. |
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241 | if data is None: |
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242 | return |
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243 | if data.ndim == 1: |
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244 | output = PlotUtilities.build_matrix(data, self.qx_data, self.qy_data) |
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245 | else: |
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246 | output = copy.deepcopy(data) |
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247 | |
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248 | zmin_temp = self.zmin |
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249 | # check scale |
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250 | if self.scale == 'log_{10}': |
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251 | try: |
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252 | if self.zmin <= 0 and len(output[output > 0]) > 0: |
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253 | zmin_temp = self.zmin |
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254 | output[output > 0] = numpy.log10(output[output > 0]) |
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255 | elif self.zmin <= 0: |
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256 | zmin_temp = self.zmin |
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257 | output[output > 0] = numpy.zeros(len(output)) |
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258 | output[output <= 0] = MIN_Z |
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259 | else: |
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260 | zmin_temp = self.zmin |
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261 | output[output > 0] = numpy.log10(output[output > 0]) |
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262 | except: |
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263 | #Too many problems in 2D plot with scale |
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264 | output[output > 0] = numpy.log10(output[output > 0]) |
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265 | pass |
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266 | |
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267 | self.cmap = cmap |
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268 | if self.dimension != 3: |
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269 | #Re-adjust colorbar |
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270 | self.figure.subplots_adjust(left=0.2, right=.8, bottom=.2) |
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271 | |
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272 | zmax_temp = self.zmax |
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273 | if self.vmin is not None: |
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274 | zmin_temp = self.vmin |
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275 | zmax_temp = self.vmax |
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276 | |
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277 | im = self.ax.imshow(output, interpolation='nearest', |
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278 | origin='lower', |
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279 | vmin=zmin_temp, vmax=zmax_temp, |
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280 | cmap=self.cmap, |
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281 | extent=(self.xmin, self.xmax, |
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282 | self.ymin, self.ymax)) |
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283 | |
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284 | cbax = self.figure.add_axes([0.84, 0.2, 0.02, 0.7]) |
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285 | |
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286 | # Current labels for axes |
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287 | self.ax.set_ylabel(self.y_label) |
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288 | self.ax.set_xlabel(self.x_label) |
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289 | |
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290 | # Title only for regular charts |
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291 | if not self.quickplot: |
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292 | self.ax.set_title(label=self._title) |
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293 | |
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294 | if cbax is None: |
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295 | ax.set_frame_on(False) |
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296 | cb = self.figure.colorbar(im, shrink=0.8, aspect=20) |
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297 | else: |
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298 | cb = self.figure.colorbar(im, cax=cbax) |
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299 | |
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300 | cb.update_bruteforce(im) |
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301 | cb.set_label('$' + self.scale + '$') |
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302 | |
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303 | self.vmin = cb.vmin |
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304 | self.vmax = cb.vmax |
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305 | |
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306 | else: |
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307 | # clear the previous 2D from memory |
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308 | self.figure.clear() |
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309 | |
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310 | self.figure.subplots_adjust(left=0.1, right=.8, bottom=.1) |
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311 | |
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312 | X = self._data.x_bins[0:-1] |
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313 | Y = self._data.y_bins[0:-1] |
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314 | X, Y = numpy.meshgrid(X, Y) |
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315 | |
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316 | ax = Axes3D(self.figure) |
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317 | |
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318 | # Disable rotation for large sets. |
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319 | # TODO: Define "large" for a dataset |
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320 | SET_TOO_LARGE = 500 |
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321 | if len(X) > SET_TOO_LARGE: |
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322 | ax.disable_mouse_rotation() |
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323 | |
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324 | self.figure.canvas.resizing = False |
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325 | im = ax.plot_surface(X, Y, output, rstride=1, cstride=1, cmap=cmap, |
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326 | linewidth=0, antialiased=False) |
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327 | self.ax.set_axis_off() |
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328 | |
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329 | if self.dimension != 3: |
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330 | self.figure.canvas.draw_idle() |
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331 | else: |
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332 | self.figure.canvas.draw() |
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333 | |
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334 | class Plotter2D(QtGui.QDialog, Plotter2DWidget): |
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335 | def __init__(self, parent=None, quickplot=False, dimension=2): |
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336 | |
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337 | QtGui.QDialog.__init__(self) |
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338 | Plotter2DWidget.__init__(self, manager=parent, quickplot=quickplot, dimension=dimension) |
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339 | icon = QtGui.QIcon() |
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340 | icon.addPixmap(QtGui.QPixmap(":/res/ball.ico"), QtGui.QIcon.Normal, QtGui.QIcon.Off) |
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341 | self.setWindowIcon(icon) |
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