1 | """ |
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2 | """ |
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3 | import logging |
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4 | import wx.lib.newevent |
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5 | |
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6 | # Try a normal import first |
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7 | # If it fails, try specifying a version |
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8 | import matplotlib |
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9 | matplotlib.interactive(False) |
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10 | #Use the WxAgg back end. The Wx one takes too long to render |
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11 | matplotlib.use('WXAgg') |
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12 | from matplotlib.backends.backend_wxagg import FigureCanvasWxAgg |
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13 | from matplotlib.figure import Figure |
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14 | import os |
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15 | import fittings |
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16 | import transform |
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17 | from matplotlib.widgets import RectangleSelector |
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18 | from pylab import gca, gcf |
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19 | from plottables import Data1D |
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20 | #TODO: make the plottables interactive |
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21 | from binder import BindArtist |
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22 | from matplotlib.font_manager import FontProperties |
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23 | |
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24 | #from matplotlib import cm |
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25 | #from matplotlib.ticker import LinearLocator, FixedLocator, FormatStrFormatter |
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26 | |
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27 | DEBUG = False |
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28 | |
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29 | from plottables import Graph |
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30 | from plottables import Text |
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31 | from TextDialog import TextDialog |
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32 | from LabelDialog import LabelDialog |
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33 | import operator |
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34 | |
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35 | import math, pylab, re |
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36 | DEFAULT_CMAP = pylab.cm.jet |
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37 | import copy |
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38 | import numpy |
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39 | |
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40 | PLOT_3D_ON = False |
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41 | try: |
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42 | from mpl_toolkits.mplot3d.axes3d import Axes3D |
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43 | PLOT_3D_ON = True |
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44 | except: |
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45 | pass |
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46 | |
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47 | def show_tree(obj,d=0): |
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48 | """Handy function for displaying a tree of graph objects""" |
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49 | print "%s%s" % ("-"*d, obj.__class__.__name__) |
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50 | if 'get_children' in dir(obj): |
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51 | for a in obj.get_children(): show_tree(a, d+1) |
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52 | |
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53 | from unitConverter import UnitConvertion as convertUnit |
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54 | |
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55 | def _rescale(lo, hi, step, pt=None, bal=None, scale='linear'): |
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56 | """ |
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57 | Rescale (lo,hi) by step, returning the new (lo,hi) |
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58 | The scaling is centered on pt, with positive values of step |
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59 | driving lo/hi away from pt and negative values pulling them in. |
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60 | If bal is given instead of point, it is already in [0,1] coordinates. |
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61 | |
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62 | This is a helper function for step-based zooming. |
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63 | |
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64 | """ |
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65 | # Convert values into the correct scale for a linear transformation |
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66 | # TODO: use proper scale transformers |
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67 | loprev = lo |
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68 | hiprev = hi |
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69 | ptprev = pt |
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70 | if scale == 'log': |
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71 | assert lo > 0 |
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72 | if lo > 0 : |
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73 | lo = math.log10(lo) |
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74 | if hi > 0 : |
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75 | hi = math.log10(hi) |
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76 | if pt is not None: pt = math.log10(pt) |
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77 | |
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78 | # Compute delta from axis range * %, or 1-% if persent is negative |
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79 | if step > 0: |
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80 | delta = float(hi - lo) * step / 100 |
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81 | else: |
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82 | delta = float(hi - lo) * step / (100 - step) |
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83 | |
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84 | # Add scale factor proportionally to the lo and hi values, |
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85 | # preserving the |
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86 | # point under the mouse |
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87 | if bal is None: |
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88 | bal = float(pt - lo) / (hi - lo) |
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89 | lo = lo - (bal * delta) |
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90 | hi = hi + (1 - bal) * delta |
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91 | |
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92 | # Convert transformed values back to the original scale |
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93 | if scale == 'log': |
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94 | if (lo <= -250) or (hi >= 250): |
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95 | lo = loprev |
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96 | hi = hiprev |
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97 | else: |
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98 | lo, hi = math.pow(10., lo), math.pow(10., hi) |
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99 | return (lo, hi) |
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100 | |
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101 | |
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102 | def CopyImage(canvas): |
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103 | """ |
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104 | 0: matplotlib plot |
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105 | 1: wx.lib.plot |
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106 | 2: other |
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107 | |
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108 | """ |
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109 | bmp = wx.BitmapDataObject() |
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110 | bmp.SetBitmap(canvas.bitmap) |
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111 | |
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112 | wx.TheClipboard.Open() |
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113 | wx.TheClipboard.SetData(bmp) |
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114 | wx.TheClipboard.Close() |
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115 | |
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116 | |
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117 | class PlotPanel(wx.Panel): |
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118 | """ |
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119 | The PlotPanel has a Figure and a Canvas. OnSize events simply set a |
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120 | flag, and the actually redrawing of the |
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121 | figure is triggered by an Idle event. |
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122 | |
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123 | """ |
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124 | def __init__(self, parent, id=-1, xtransform=None, |
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125 | ytransform=None, scale='log_{10}', |
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126 | color=None, dpi=None, **kwargs): |
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127 | """ |
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128 | """ |
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129 | wx.Panel.__init__(self, parent, id=id, **kwargs) |
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130 | self.parent = parent |
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131 | self.dimension = 1 |
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132 | self.gotLegend = 0 #to begin, legend is not picked. |
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133 | self.legend_pos_loc = None |
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134 | self.legend = None |
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135 | self.line_collections_list = [] |
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136 | self.figure = Figure(None, dpi, linewidth=2.0) |
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137 | self.color = '#b3b3b3' |
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138 | from canvas import FigureCanvas |
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139 | self.canvas = FigureCanvas(self, -1, self.figure) |
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140 | self.SetColor(color) |
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141 | #self.SetBackgroundColour(parent.GetBackgroundColour()) |
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142 | self._resizeflag = True |
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143 | self._SetSize() |
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144 | self.subplot = self.figure.add_subplot(111) |
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145 | self.figure.subplots_adjust(left=0.2, bottom=.2) |
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146 | self.yscale = 'linear' |
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147 | self.xscale = 'linear' |
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148 | self.sizer = wx.BoxSizer(wx.VERTICAL) |
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149 | self.sizer.Add(self.canvas, 1, wx.EXPAND) |
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150 | #add toolbar |
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151 | self.enable_toolbar = True |
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152 | self.toolbar = None |
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153 | self.add_toolbar() |
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154 | self.SetSizer(self.sizer) |
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155 | |
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156 | # Graph object to manage the plottables |
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157 | self.graph = Graph() |
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158 | |
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159 | #Boolean value to keep track of whether current legend is |
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160 | #visible or not |
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161 | self.legend_on = True |
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162 | self.grid_on = False |
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163 | #Location of legend, default is 0 or 'best' |
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164 | self.legendLoc = 0 |
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165 | self.position = None |
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166 | self._loc_labels = self.get_loc_label() |
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167 | |
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168 | self.Bind(wx.EVT_CONTEXT_MENU, self.onContextMenu) |
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169 | |
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170 | # Define some constants |
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171 | self.colorlist = ['b','g','r','c','m','y','k'] |
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172 | self.symbollist = ['o','x','^','v','<','>','+', |
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173 | 's','d','D','h','H','p', '-'] |
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174 | |
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175 | #List of texts currently on the plot |
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176 | self.textList = [] |
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177 | #User scale |
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178 | if xtransform != None: |
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179 | self.xLabel = xtransform |
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180 | else: |
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181 | self.xLabel = "log10(x)" |
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182 | if ytransform != None: |
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183 | self.yLabel = ytransform |
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184 | else: |
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185 | self.yLabel = "log10(y)" |
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186 | self.viewModel = "--" |
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187 | # keep track if the previous transformation of x |
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188 | # and y in Property dialog |
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189 | self.prevXtrans = "log10(x)" |
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190 | self.prevYtrans = "log10(y)" |
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191 | self.canvas.mpl_connect('scroll_event', self.onWheel) |
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192 | #taking care of dragging |
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193 | self.canvas.mpl_connect('motion_notify_event', self.onMouseMotion) |
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194 | self.canvas.mpl_connect('button_press_event', self.onLeftDown) |
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195 | self.canvas.mpl_connect('pick_event', self.onPick) |
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196 | self.canvas.mpl_connect('button_release_event', self.onLeftUp) |
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197 | |
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198 | wx.EVT_RIGHT_DOWN(self, self.onLeftDown) |
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199 | # to turn axis off whenn resizing the panel |
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200 | self.resizing = False |
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201 | |
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202 | self.leftdown = False |
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203 | self.leftup = False |
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204 | self.mousemotion = False |
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205 | self.axes = [self.subplot] |
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206 | ## Fit dialog |
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207 | self._fit_dialog = None |
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208 | # Interactor |
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209 | self.connect = BindArtist(self.subplot.figure) |
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210 | #self.selected_plottable = None |
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211 | |
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212 | # new data for the fit |
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213 | self.fit_result = Data1D(x=[], y=[], dy=None) |
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214 | self.fit_result.symbol = 13 |
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215 | #self.fit_result = Data1D(x=[], y=[],dx=None, dy=None) |
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216 | self.fit_result.name = "Fit" |
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217 | # For fit Dialog initial display |
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218 | self.xmin = 0.0 |
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219 | self.xmax = 0.0 |
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220 | self.xminView = 0.0 |
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221 | self.xmaxView = 0.0 |
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222 | self._scale_xlo = None |
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223 | self._scale_xhi = None |
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224 | self._scale_ylo = None |
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225 | self._scale_yhi = None |
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226 | self.Avalue = None |
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227 | self.Bvalue = None |
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228 | self.ErrAvalue = None |
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229 | self.ErrBvalue = None |
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230 | self.Chivalue = None |
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231 | |
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232 | # for 2D scale |
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233 | if scale != 'linear': |
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234 | scale = 'log_{10}' |
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235 | self.scale = scale |
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236 | self.data = None |
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237 | self.qx_data = None |
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238 | self.qy_data = None |
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239 | self.xmin_2D = None |
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240 | self.xmax_2D = None |
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241 | self.ymin_2D = None |
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242 | self.ymax_2D = None |
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243 | ## store reference to the current plotted vmin and vmax of plotted image |
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244 | ##z range in linear scale |
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245 | self.zmin_2D = None |
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246 | self.zmax_2D = None |
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247 | |
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248 | #index array |
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249 | self.index_x = None |
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250 | self.index_y = None |
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251 | |
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252 | #number of bins |
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253 | self.x_bins = None |
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254 | self.y_bins = None |
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255 | |
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256 | ## default color map |
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257 | self.cmap = DEFAULT_CMAP |
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258 | |
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259 | # Dragging info |
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260 | self.begDrag = False |
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261 | self.xInit = None |
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262 | self.yInit = None |
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263 | self.xFinal = None |
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264 | self.yFinal = None |
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265 | |
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266 | #axes properties |
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267 | self.xaxis_font = None |
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268 | self.xaxis_label = None |
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269 | self.xaxis_unit = None |
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270 | self.xaxis_color = 'black' |
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271 | self.xaxis_tick = None |
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272 | self.yaxis_font = None |
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273 | self.yaxis_label = None |
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274 | self.yaxis_unit = None |
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275 | self.yaxis_color = 'black' |
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276 | self.yaxis_tick = None |
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277 | |
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278 | # check if zoomed. |
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279 | self.is_zoomed = False |
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280 | # Plottables |
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281 | self.plots = {} |
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282 | |
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283 | # Default locations |
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284 | self._default_save_location = os.getcwd() |
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285 | # let canvas know about axes |
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286 | self.canvas.set_panel(self) |
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287 | |
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288 | #Bind focus to change the border color |
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289 | self.canvas.Bind(wx.EVT_SET_FOCUS, self.on_set_focus) |
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290 | self.canvas.Bind(wx.EVT_KILL_FOCUS, self.on_kill_focus) |
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291 | |
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292 | def _SetInitialSize(self,): |
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293 | """ |
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294 | """ |
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295 | pixels = self.parent.GetClientSize() |
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296 | self.canvas.SetSize(pixels) |
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297 | self.figure.set_size_inches( (pixels[0])/self.figure.get_dpi(), |
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298 | (pixels[1])/self.figure.get_dpi(), forward=True ) |
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299 | |
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300 | def On_Paint(self, event): |
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301 | """ |
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302 | """ |
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303 | self.canvas.SetBackgroundColour(self.color) |
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304 | #dc = wx.PaintDC(self.canvas) |
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305 | #dc.SetPen(wx.Pen(self.color)) |
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306 | #x, y = self.GetSize() |
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307 | #dc.DrawRectangle(0, 0, x, y) |
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308 | #dc.DrawRectangle(1, 1, x-1, y-1) |
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309 | #self.draw() |
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310 | def on_set_focus(self, event): |
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311 | """ |
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312 | Send to the parenet the current panel on focus |
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313 | """ |
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314 | # light blue |
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315 | self.color = '#0099f7' |
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316 | self.figure.set_edgecolor(self.color) |
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317 | self.draw() |
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318 | |
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319 | def on_kill_focus(self, event): |
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320 | """ |
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321 | Reset the panel color |
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322 | """ |
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323 | # light grey |
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324 | self.color = '#b3b3b3' |
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325 | self.figure.set_edgecolor(self.color) |
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326 | self.draw() |
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327 | |
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328 | def set_resizing(self, resizing=False): |
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329 | """ |
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330 | Set the resizing (True/False) |
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331 | """ |
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332 | pass # Not implemented |
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333 | |
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334 | def schedule_full_draw(self, func='append'): |
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335 | """ |
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336 | Put self in schedule to full redraw list |
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337 | """ |
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338 | pass # Not implemented |
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339 | |
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340 | def add_toolbar(self): |
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341 | """ |
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342 | add toolbar |
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343 | """ |
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344 | self.enable_toolbar = True |
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345 | from toolbar import NavigationToolBar |
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346 | self.toolbar = NavigationToolBar(parent=self, canvas=self.canvas) |
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347 | self.toolbar.Realize() |
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348 | ## The 'SetToolBar()' is not working on MAC: JHC |
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349 | #if IS_MAC: |
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350 | # Mac platform (OSX 10.3, MacPython) does not seem to cope with |
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351 | # having a toolbar in a sizer. This work-around gets the buttons |
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352 | # back, but at the expense of having the toolbar at the top |
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353 | #self.SetToolBar(self.toolbar) |
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354 | #else: |
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355 | # On Windows platform, default window size is incorrect, so set |
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356 | # toolbar width to figure width. |
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357 | tw, th = self.toolbar.GetSizeTuple() |
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358 | fw, fh = self.canvas.GetSizeTuple() |
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359 | # By adding toolbar in sizer, we are able to put it at the bottom |
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360 | # of the frame - so appearance is closer to GTK version. |
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361 | # As noted above, doesn't work for Mac. |
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362 | self.toolbar.SetSize(wx.Size(fw, th)) |
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363 | self.sizer.Add(self.toolbar, 0, wx.LEFT | wx.EXPAND) |
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364 | |
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365 | # update the axes menu on the toolbar |
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366 | self.toolbar.update() |
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367 | |
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368 | def onLeftDown(self, event): |
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369 | """ |
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370 | left button down and ready to drag |
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371 | |
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372 | """ |
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373 | # Check that the LEFT button was pressed |
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374 | if event.button == 1: |
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375 | self.leftdown = True |
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376 | ax = event.inaxes |
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377 | if ax != None: |
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378 | self.xInit, self.yInit = event.xdata, event.ydata |
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379 | try: |
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380 | pos_x = float(event.xdata)# / size_x |
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381 | pos_y = float(event.ydata)# / size_y |
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382 | pos_x = "%8.3g"% pos_x |
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383 | pos_y = "%8.3g"% pos_y |
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384 | self.position = str(pos_x), str(pos_y) |
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385 | wx.PostEvent(self.parent, StatusEvent(status=self.position)) |
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386 | except: |
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387 | self.position = None |
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388 | #size_x, size_y = self.GetClientSizeTuple() |
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389 | |
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390 | |
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391 | def onLeftUp(self, event): |
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392 | """ |
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393 | Dragging is done |
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394 | |
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395 | """ |
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396 | # Check that the LEFT button was released |
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397 | if event.button == 1: |
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398 | self.leftdown = False |
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399 | self.mousemotion = False |
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400 | self.leftup = True |
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401 | |
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402 | #release the legend |
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403 | if self.gotLegend == 1: |
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404 | self.gotLegend = 0 |
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405 | self.set_legend_alpha(1) |
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406 | |
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407 | def set_legend_alpha(self, alpha=1): |
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408 | """ |
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409 | Set legend alpha |
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410 | """ |
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411 | if self.legend != None: |
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412 | self.legend.legendPatch.set_alpha(alpha) |
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413 | |
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414 | def onPick(self, event): |
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415 | """ |
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416 | On pick legend |
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417 | """ |
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418 | legend = self.legend |
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419 | if event.artist == legend: |
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420 | #gets the box of the legend. |
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421 | bbox = self.legend.get_window_extent() |
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422 | #get mouse coordinates at time of pick. |
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423 | self.mouse_x = event.mouseevent.x |
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424 | self.mouse_y = event.mouseevent.y |
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425 | #get legend coordinates at time of pick. |
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426 | self.legend_x = bbox.xmin |
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427 | self.legend_y = bbox.ymin |
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428 | #indicates we picked up the legend. |
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429 | self.gotLegend = 1 |
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430 | self.set_legend_alpha(0.5) |
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431 | |
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432 | |
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433 | def _on_legend_motion(self, event): |
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434 | """ |
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435 | On legend in motion |
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436 | """ |
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437 | ax = event.inaxes |
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438 | if ax == None: |
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439 | return |
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440 | # Event occurred inside a plotting area |
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441 | lo_x, hi_x = ax.get_xlim() |
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442 | lo_y, hi_y = ax.get_ylim() |
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443 | # How much the mouse moved. |
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444 | x = mouse_diff_x = self.mouse_x - event.x |
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445 | y = mouse_diff_y = self.mouse_y - event.y |
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446 | # Put back inside |
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447 | if x < lo_x: |
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448 | x = lo_x |
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449 | if x > hi_x: |
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450 | x = hi_x |
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451 | if y < lo_y: |
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452 | y = lo_y |
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453 | if y> hi_y: |
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454 | y = hi_y |
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455 | # Move the legend from its previous location by that same amount |
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456 | loc_in_canvas = self.legend_x - mouse_diff_x, \ |
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457 | self.legend_y - mouse_diff_y |
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458 | # Transform into legend coordinate system |
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459 | trans_axes = self.legend.parent.transAxes.inverted() |
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460 | loc_in_norm_axes = trans_axes.transform_point(loc_in_canvas) |
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461 | self.legend_pos_loc = tuple(loc_in_norm_axes) |
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462 | self.legend._loc = self.legend_pos_loc |
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463 | self.resizing = True |
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464 | self.canvas.set_resizing(self.resizing) |
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465 | self.canvas.draw() |
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466 | |
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467 | def onMouseMotion(self, event): |
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468 | """ |
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469 | check if the left button is press and the mouse in moving. |
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470 | computer delta for x and y coordinates and then calls draghelper |
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471 | to perform the drag |
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472 | |
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473 | """ |
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474 | if self.gotLegend == 1: |
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475 | self._on_legend_motion(event) |
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476 | return |
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477 | if self.enable_toolbar: |
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478 | #Disable dragging without the toolbar to allow zooming with toolbar |
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479 | return |
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480 | self.mousemotion = True |
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481 | if self.leftdown == True and self.mousemotion == True: |
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482 | ax = event.inaxes |
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483 | if ax != None:#the dragging is perform inside the figure |
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484 | self.xFinal, self.yFinal = event.xdata, event.ydata |
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485 | # Check whether this is the first point |
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486 | if self.xInit == None: |
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487 | self.xInit = self.xFinal |
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488 | self.yInit = self.yFinal |
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489 | |
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490 | xdelta = self.xFinal - self.xInit |
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491 | ydelta = self.yFinal - self.yInit |
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492 | |
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493 | if self.xscale == 'log': |
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494 | xdelta = math.log10(self.xFinal) - math.log10(self.xInit) |
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495 | if self.yscale == 'log': |
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496 | ydelta = math.log10(self.yFinal) - math.log10(self.yInit) |
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497 | self._dragHelper(xdelta, ydelta) |
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498 | else:# no dragging is perform elsewhere |
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499 | self._dragHelper(0,0) |
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500 | |
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501 | |
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502 | def _offset_graph(self): |
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503 | """ |
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504 | Zoom and offset the graph to the last known settings |
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505 | |
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506 | """ |
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507 | for ax in self.axes: |
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508 | if self._scale_xhi is not None and self._scale_xlo is not None: |
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509 | ax.set_xlim(self._scale_xlo, self._scale_xhi) |
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510 | if self._scale_yhi is not None and self._scale_ylo is not None: |
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511 | ax.set_ylim(self._scale_ylo, self._scale_yhi) |
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512 | |
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513 | def _dragHelper(self, xdelta, ydelta): |
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514 | """ |
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515 | dragging occurs here |
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516 | |
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517 | """ |
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518 | # Event occurred inside a plotting area |
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519 | for ax in self.axes: |
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520 | lo, hi = ax.get_xlim() |
---|
521 | #print "x lo %f and x hi %f"%(lo,hi) |
---|
522 | newlo, newhi = lo - xdelta, hi - xdelta |
---|
523 | if self.xscale == 'log': |
---|
524 | if lo > 0: |
---|
525 | newlo = math.log10(lo) - xdelta |
---|
526 | if hi > 0: |
---|
527 | newhi = math.log10(hi) - xdelta |
---|
528 | if self.xscale == 'log': |
---|
529 | self._scale_xlo = math.pow(10, newlo) |
---|
530 | self._scale_xhi = math.pow(10, newhi) |
---|
531 | ax.set_xlim(math.pow(10, newlo), math.pow(10, newhi)) |
---|
532 | else: |
---|
533 | self._scale_xlo = newlo |
---|
534 | self._scale_xhi = newhi |
---|
535 | ax.set_xlim(newlo, newhi) |
---|
536 | #print "new lo %f and new hi %f"%(newlo,newhi) |
---|
537 | |
---|
538 | lo, hi = ax.get_ylim() |
---|
539 | #print "y lo %f and y hi %f"%(lo,hi) |
---|
540 | newlo, newhi = lo - ydelta, hi - ydelta |
---|
541 | if self.yscale == 'log': |
---|
542 | if lo > 0: |
---|
543 | newlo = math.log10(lo) - ydelta |
---|
544 | if hi > 0: |
---|
545 | newhi = math.log10(hi) - ydelta |
---|
546 | #print "new lo %f and new hi %f"%(newlo,newhi) |
---|
547 | if self.yscale == 'log': |
---|
548 | self._scale_ylo = math.pow(10, newlo) |
---|
549 | self._scale_yhi = math.pow(10, newhi) |
---|
550 | ax.set_ylim(math.pow(10, newlo), math.pow(10, newhi)) |
---|
551 | else: |
---|
552 | self._scale_ylo = newlo |
---|
553 | self._scale_yhi = newhi |
---|
554 | ax.set_ylim(newlo, newhi) |
---|
555 | self.canvas.draw_idle() |
---|
556 | |
---|
557 | def resetFitView(self): |
---|
558 | """ |
---|
559 | For fit Dialog initial display |
---|
560 | |
---|
561 | """ |
---|
562 | self.xmin = 0.0 |
---|
563 | self.xmax = 0.0 |
---|
564 | self.xminView = 0.0 |
---|
565 | self.xmaxView = 0.0 |
---|
566 | self._scale_xlo = None |
---|
567 | self._scale_xhi = None |
---|
568 | self._scale_ylo = None |
---|
569 | self._scale_yhi = None |
---|
570 | self.Avalue = None |
---|
571 | self.Bvalue = None |
---|
572 | self.ErrAvalue = None |
---|
573 | self.ErrBvalue = None |
---|
574 | self.Chivalue = None |
---|
575 | |
---|
576 | def onWheel(self, event): |
---|
577 | """ |
---|
578 | Process mouse wheel as zoom events |
---|
579 | |
---|
580 | :param event: Wheel event |
---|
581 | |
---|
582 | """ |
---|
583 | ax = event.inaxes |
---|
584 | step = event.step |
---|
585 | |
---|
586 | if ax != None: |
---|
587 | # Event occurred inside a plotting area |
---|
588 | lo, hi = ax.get_xlim() |
---|
589 | lo, hi = _rescale(lo, hi, step, |
---|
590 | pt=event.xdata, scale=ax.get_xscale()) |
---|
591 | if not self.xscale == 'log' or lo > 0: |
---|
592 | self._scale_xlo = lo |
---|
593 | self._scale_xhi = hi |
---|
594 | ax.set_xlim((lo,hi)) |
---|
595 | |
---|
596 | lo, hi = ax.get_ylim() |
---|
597 | lo, hi = _rescale(lo, hi, step, pt=event.ydata, |
---|
598 | scale=ax.get_yscale()) |
---|
599 | if not self.yscale == 'log' or lo > 0: |
---|
600 | self._scale_ylo = lo |
---|
601 | self._scale_yhi = hi |
---|
602 | ax.set_ylim((lo,hi)) |
---|
603 | else: |
---|
604 | # Check if zoom happens in the axes |
---|
605 | xdata, ydata = None, None |
---|
606 | x, y = event.x, event.y |
---|
607 | |
---|
608 | for ax in self.axes: |
---|
609 | insidex, _ = ax.xaxis.contains(event) |
---|
610 | if insidex: |
---|
611 | xdata, _ = ax.transAxes.inverted().transform_point((x, y)) |
---|
612 | #xdata,_ = ax.transAxes.inverse_xy_tup((x,y)) |
---|
613 | insidey, _ = ax.yaxis.contains(event) |
---|
614 | if insidey: |
---|
615 | _, ydata = ax.transAxes.inverted().transform_point((x, y)) |
---|
616 | #_,ydata = ax.transAxes.inverse_xy_tup((x,y)) |
---|
617 | if xdata is not None: |
---|
618 | lo, hi = ax.get_xlim() |
---|
619 | lo, hi = _rescale(lo, hi, step, |
---|
620 | bal=xdata, scale=ax.get_xscale()) |
---|
621 | if not self.xscale == 'log' or lo > 0: |
---|
622 | self._scale_xlo = lo |
---|
623 | self._scale_xhi = hi |
---|
624 | ax.set_xlim((lo, hi)) |
---|
625 | if ydata is not None: |
---|
626 | lo, hi = ax.get_ylim() |
---|
627 | lo, hi = _rescale(lo, hi, step, bal=ydata, |
---|
628 | scale=ax.get_yscale()) |
---|
629 | if not self.yscale=='log' or lo>0: |
---|
630 | self._scale_ylo = lo |
---|
631 | self._scale_yhi = hi |
---|
632 | ax.set_ylim((lo, hi)) |
---|
633 | self.canvas.draw_idle() |
---|
634 | |
---|
635 | def returnTrans(self): |
---|
636 | """ |
---|
637 | Return values and labels used by Fit Dialog |
---|
638 | """ |
---|
639 | return self.xLabel,self.yLabel, self.Avalue, self.Bvalue,\ |
---|
640 | self.ErrAvalue, self.ErrBvalue, self.Chivalue |
---|
641 | |
---|
642 | def setTrans(self, xtrans, ytrans): |
---|
643 | """ |
---|
644 | |
---|
645 | :param xtrans: set x transformation on Property dialog |
---|
646 | :param ytrans: set y transformation on Property dialog |
---|
647 | |
---|
648 | """ |
---|
649 | self.prevXtrans = xtrans |
---|
650 | self.prevYtrans = ytrans |
---|
651 | |
---|
652 | def onFitting(self, event): |
---|
653 | """ |
---|
654 | when clicking on linear Fit on context menu , display Fitting Dialog |
---|
655 | """ |
---|
656 | list = {} |
---|
657 | menu = event.GetEventObject() |
---|
658 | id = event.GetId() |
---|
659 | self.set_selected_from_menu(menu, id) |
---|
660 | plotlist = self.graph.returnPlottable() |
---|
661 | if self.graph.selected_plottable is not None: |
---|
662 | for item in plotlist: |
---|
663 | if item.id == self.graph.selected_plottable: |
---|
664 | list[item] = plotlist[item] |
---|
665 | else: |
---|
666 | list = plotlist |
---|
667 | from fitDialog import LinearFit |
---|
668 | |
---|
669 | if len(list.keys())>0: |
---|
670 | first_item = list.keys()[0] |
---|
671 | dlg = LinearFit(parent=None, plottable=first_item, |
---|
672 | push_data=self.onFitDisplay, |
---|
673 | transform=self.returnTrans, |
---|
674 | title='Linear Fit') |
---|
675 | |
---|
676 | if (self.xmin != 0.0)and (self.xmax != 0.0)\ |
---|
677 | and(self.xminView != 0.0)and (self.xmaxView != 0.0): |
---|
678 | dlg.setFitRange(self.xminView, self.xmaxView, |
---|
679 | self.xmin, self.xmax) |
---|
680 | dlg.ShowModal() |
---|
681 | |
---|
682 | def set_selected_from_menu(self, menu, id): |
---|
683 | """ |
---|
684 | Set selected_plottable from context menu selection |
---|
685 | |
---|
686 | :param menu: context menu item |
---|
687 | :param id: menu item id |
---|
688 | """ |
---|
689 | if len(self.plots) < 1: |
---|
690 | return |
---|
691 | name = menu.GetHelpString(id) |
---|
692 | for plot in self.plots.values(): |
---|
693 | if plot.name == name: |
---|
694 | self.graph.selected_plottable = plot.id |
---|
695 | break |
---|
696 | |
---|
697 | def linear_plottable_fit(self, plot): |
---|
698 | """ |
---|
699 | when clicking on linear Fit on context menu , display Fitting Dialog |
---|
700 | |
---|
701 | :param plot: PlotPanel owning the graph |
---|
702 | |
---|
703 | """ |
---|
704 | from fitDialog import LinearFit |
---|
705 | if self._fit_dialog is not None: |
---|
706 | return |
---|
707 | self._fit_dialog = LinearFit(None, plot, self.onFitDisplay, |
---|
708 | self.returnTrans, -1, 'Linear Fit') |
---|
709 | # Set the zoom area |
---|
710 | if self._scale_xhi is not None and self._scale_xlo is not None: |
---|
711 | self._fit_dialog.set_fit_region(self._scale_xlo, self._scale_xhi) |
---|
712 | # Register the close event |
---|
713 | self._fit_dialog.register_close(self._linear_fit_close) |
---|
714 | # Show a non-model dialog |
---|
715 | self._fit_dialog.Show() |
---|
716 | |
---|
717 | def _linear_fit_close(self): |
---|
718 | """ |
---|
719 | A fit dialog was closed |
---|
720 | """ |
---|
721 | self._fit_dialog = None |
---|
722 | |
---|
723 | |
---|
724 | def _onProperties(self, event): |
---|
725 | """ |
---|
726 | when clicking on Properties on context menu , |
---|
727 | The Property dialog is displayed |
---|
728 | The user selects a transformation for x or y value and |
---|
729 | a new plot is displayed |
---|
730 | """ |
---|
731 | if self._fit_dialog is not None: |
---|
732 | self._fit_dialog.Destroy() |
---|
733 | self._fit_dialog = None |
---|
734 | list = [] |
---|
735 | list = self.graph.returnPlottable() |
---|
736 | if len(list.keys()) > 0: |
---|
737 | first_item = list.keys()[0] |
---|
738 | if first_item.x != []: |
---|
739 | from PropertyDialog import Properties |
---|
740 | dial = Properties(self, -1, 'Properties') |
---|
741 | dial.setValues(self.prevXtrans, self.prevYtrans, self.viewModel) |
---|
742 | if dial.ShowModal() == wx.ID_OK: |
---|
743 | self.xLabel, self.yLabel,self.viewModel = dial.getValues() |
---|
744 | if self.viewModel == "Guinier lny vs x^(2)": |
---|
745 | self.xLabel = "x^(2)" |
---|
746 | self.yLabel = "ln(y)" |
---|
747 | self.viewModel = "--" |
---|
748 | dial.setValues(self.xLabel, self.yLabel, self.viewModel) |
---|
749 | if self.viewModel == "Porod y*x^(4) vs x^(4)": |
---|
750 | self.xLabel = "x^(4)" |
---|
751 | self.yLabel = "y*x^(4)" |
---|
752 | self.viewModel = "--" |
---|
753 | dial.setValues(self.xLabel, self.yLabel, self.viewModel) |
---|
754 | self._onEVT_FUNC_PROPERTY() |
---|
755 | dial.Destroy() |
---|
756 | |
---|
757 | def set_yscale(self, scale='linear'): |
---|
758 | """ |
---|
759 | Set the scale on Y-axis |
---|
760 | |
---|
761 | :param scale: the scale of y-axis |
---|
762 | |
---|
763 | """ |
---|
764 | self.subplot.set_yscale(scale, nonposy='clip') |
---|
765 | self.yscale = scale |
---|
766 | |
---|
767 | def get_yscale(self): |
---|
768 | """ |
---|
769 | |
---|
770 | :return: Y-axis scale |
---|
771 | |
---|
772 | """ |
---|
773 | return self.yscale |
---|
774 | |
---|
775 | def set_xscale(self, scale='linear'): |
---|
776 | """ |
---|
777 | Set the scale on x-axis |
---|
778 | |
---|
779 | :param scale: the scale of x-axis |
---|
780 | |
---|
781 | """ |
---|
782 | self.subplot.set_xscale(scale) |
---|
783 | self.xscale = scale |
---|
784 | |
---|
785 | def get_xscale(self): |
---|
786 | """ |
---|
787 | |
---|
788 | :return: x-axis scale |
---|
789 | |
---|
790 | """ |
---|
791 | return self.xscale |
---|
792 | |
---|
793 | def SetColor(self, rgbtuple): |
---|
794 | """ |
---|
795 | Set figure and canvas colours to be the same |
---|
796 | |
---|
797 | """ |
---|
798 | if not rgbtuple: |
---|
799 | rgbtuple = wx.SystemSettings.GetColour(wx.SYS_COLOUR_BTNFACE).Get() |
---|
800 | col = [c/255.0 for c in rgbtuple] |
---|
801 | self.figure.set_facecolor(col) |
---|
802 | self.figure.set_edgecolor(self.color) |
---|
803 | self.canvas.SetBackgroundColour(wx.Colour(*rgbtuple)) |
---|
804 | |
---|
805 | def _onSize(self, event): |
---|
806 | """ |
---|
807 | """ |
---|
808 | self._resizeflag = True |
---|
809 | |
---|
810 | def _onIdle(self, evt): |
---|
811 | """ |
---|
812 | """ |
---|
813 | if self._resizeflag: |
---|
814 | self._resizeflag = False |
---|
815 | self._SetSize() |
---|
816 | self.draw() |
---|
817 | |
---|
818 | def _SetSize(self, pixels = None): |
---|
819 | """ |
---|
820 | This method can be called to force the Plot to be a desired size, |
---|
821 | which defaults to the ClientSize of the panel |
---|
822 | |
---|
823 | """ |
---|
824 | if not pixels: |
---|
825 | pixels = tuple(self.GetClientSize()) |
---|
826 | self.canvas.SetSize(pixels) |
---|
827 | self.figure.set_size_inches( float( pixels[0] )/self.figure.get_dpi(), |
---|
828 | float( pixels[1] )/self.figure.get_dpi() ) |
---|
829 | |
---|
830 | def draw(self): |
---|
831 | """ |
---|
832 | Where the actual drawing happens |
---|
833 | |
---|
834 | """ |
---|
835 | self.figure.canvas.draw_idle() |
---|
836 | |
---|
837 | |
---|
838 | #pick up the legend patch |
---|
839 | def legend_picker(self, legend, event): |
---|
840 | return self.legend.legendPatch.contains(event) |
---|
841 | |
---|
842 | def get_loc_label(self): |
---|
843 | """ |
---|
844 | Associates label to a specific legend location |
---|
845 | """ |
---|
846 | _labels = {} |
---|
847 | i = 0 |
---|
848 | _labels['best'] = i |
---|
849 | i += 1 |
---|
850 | _labels['upper right'] = i |
---|
851 | i += 1 |
---|
852 | _labels['upper left'] = i |
---|
853 | i += 1 |
---|
854 | _labels['lower left'] = i |
---|
855 | i += 1 |
---|
856 | _labels['lower right'] = i |
---|
857 | i += 1 |
---|
858 | _labels['right'] = i |
---|
859 | i += 1 |
---|
860 | _labels['center left'] = i |
---|
861 | i += 1 |
---|
862 | _labels['center right'] = i |
---|
863 | i += 1 |
---|
864 | _labels['lower center'] = i |
---|
865 | i += 1 |
---|
866 | _labels['upper center'] = i |
---|
867 | i += 1 |
---|
868 | _labels['center'] = i |
---|
869 | return _labels |
---|
870 | |
---|
871 | def onSaveImage(self, evt): |
---|
872 | """ |
---|
873 | Implement save image |
---|
874 | """ |
---|
875 | self.toolbar.save(evt) |
---|
876 | |
---|
877 | def onContextMenu(self, event): |
---|
878 | """ |
---|
879 | Default context menu for a plot panel |
---|
880 | |
---|
881 | """ |
---|
882 | # Slicer plot popup menu |
---|
883 | id = wx.NewId() |
---|
884 | slicerpop = wx.Menu() |
---|
885 | slicerpop.Append(id, '&Save image', 'Save image as PNG') |
---|
886 | wx.EVT_MENU(self, id, self.onSaveImage) |
---|
887 | |
---|
888 | id = wx.NewId() |
---|
889 | slicerpop.Append(id,'&Printer setup', 'Set image size') |
---|
890 | wx.EVT_MENU(self, id, self.onPrinterSetup) |
---|
891 | |
---|
892 | id = wx.NewId() |
---|
893 | slicerpop.Append(id,'&Printer Preview', 'Set image size') |
---|
894 | wx.EVT_MENU(self, id, self.onPrinterPreview) |
---|
895 | |
---|
896 | id = wx.NewId() |
---|
897 | slicerpop.Append(id, '&Print image', 'Print image ') |
---|
898 | wx.EVT_MENU(self, id, self.onPrint) |
---|
899 | |
---|
900 | id = wx.NewId() |
---|
901 | slicerpop.Append(id, '&Copy', 'Copy to the clipboard') |
---|
902 | wx.EVT_MENU(self, id, self.OnCopyFigureMenu) |
---|
903 | |
---|
904 | #id = wx.NewId() |
---|
905 | #slicerpop.Append(id, '&Load 1D data file') |
---|
906 | #wx.EVT_MENU(self, id, self._onLoad1DData) |
---|
907 | |
---|
908 | id = wx.NewId() |
---|
909 | slicerpop.AppendSeparator() |
---|
910 | slicerpop.Append(id, '&Properties') |
---|
911 | wx.EVT_MENU(self, id, self._onProperties) |
---|
912 | |
---|
913 | id = wx.NewId() |
---|
914 | slicerpop.AppendSeparator() |
---|
915 | slicerpop.Append(id, '&Linear Fit') |
---|
916 | wx.EVT_MENU(self, id, self.onFitting) |
---|
917 | |
---|
918 | id = wx.NewId() |
---|
919 | slicerpop.AppendSeparator() |
---|
920 | slicerpop.Append(id, '&Toggle Legned On/Off', 'Toggle Legend On/Off') |
---|
921 | wx.EVT_MENU(self, id, self.onLegend) |
---|
922 | |
---|
923 | loc_menu = wx.Menu() |
---|
924 | for label in self._loc_labels: |
---|
925 | id = wx.NewId() |
---|
926 | loc_menu.Append(id, str(label), str(label)) |
---|
927 | wx.EVT_MENU(self, id, self.onChangeLegendLoc) |
---|
928 | id = wx.NewId() |
---|
929 | slicerpop.AppendMenu(id, '&Modify Legend Location', loc_menu) |
---|
930 | |
---|
931 | id = wx.NewId() |
---|
932 | slicerpop.Append(id, '&Modify Y Axis Label') |
---|
933 | wx.EVT_MENU(self, id, self._on_yaxis_label) |
---|
934 | id = wx.NewId() |
---|
935 | slicerpop.Append(id, '&Modify X Axis Label') |
---|
936 | wx.EVT_MENU(self, id, self._on_xaxis_label) |
---|
937 | |
---|
938 | try: |
---|
939 | # mouse event |
---|
940 | pos_evt = event.GetPosition() |
---|
941 | pos = self.ScreenToClient(pos_evt) |
---|
942 | except: |
---|
943 | # toolbar event |
---|
944 | pos_x, pos_y = self.toolbar.GetPositionTuple() |
---|
945 | pos = (pos_x, pos_y + 5) |
---|
946 | |
---|
947 | self.PopupMenu(slicerpop, pos) |
---|
948 | |
---|
949 | def onToolContextMenu(self, event): |
---|
950 | """ |
---|
951 | ContextMenu from toolbar |
---|
952 | |
---|
953 | :param event: toolbar event |
---|
954 | """ |
---|
955 | # reset postion |
---|
956 | self.position = None |
---|
957 | if self.graph.selected_plottable != None: |
---|
958 | self.graph.selected_plottable = None |
---|
959 | |
---|
960 | self.onContextMenu(event) |
---|
961 | |
---|
962 | def onLegend(self, event): |
---|
963 | """ |
---|
964 | Toggles whether legend is visible/not visible |
---|
965 | """ |
---|
966 | |
---|
967 | if self.legend_on: |
---|
968 | for ax in self.axes: |
---|
969 | self.remove_legend(ax) |
---|
970 | else: |
---|
971 | # sort them by labels |
---|
972 | handles, labels = self.subplot.get_legend_handles_labels() |
---|
973 | hl = sorted(zip(handles, labels), |
---|
974 | key=operator.itemgetter(1)) |
---|
975 | handles2, labels2 = zip(*hl) |
---|
976 | self.line_collections_list = handles2 |
---|
977 | self.legend = self.subplot.legend(handles2, labels2, |
---|
978 | prop=FontProperties(size=10), numpoints=1, |
---|
979 | handletextsep=.05, loc=self.legendLoc) |
---|
980 | if self.legend != None: |
---|
981 | self.legend.set_picker(self.legend_picker) |
---|
982 | self.legend.set_axes(self.subplot) |
---|
983 | |
---|
984 | self.subplot.figure.canvas.draw_idle() |
---|
985 | self.legend_on = not self.legend_on |
---|
986 | |
---|
987 | def onChangeLegendLoc(self, event): |
---|
988 | """ |
---|
989 | Changes legend loc based on user input |
---|
990 | """ |
---|
991 | menu = event.GetEventObject() |
---|
992 | id = event.GetId() |
---|
993 | label = menu.GetLabel(id) |
---|
994 | |
---|
995 | self.legendLoc = label |
---|
996 | self.legend_pos_loc = None |
---|
997 | # sort them by labels |
---|
998 | handles, labels = self.subplot.get_legend_handles_labels() |
---|
999 | hl = sorted(zip(handles, labels), |
---|
1000 | key=operator.itemgetter(1)) |
---|
1001 | handles2, labels2 = zip(*hl) |
---|
1002 | self.line_collections_list = handles2 |
---|
1003 | self.legend = self.subplot.legend(handles2, labels2, |
---|
1004 | prop=FontProperties(size=10), numpoints=1, |
---|
1005 | handletextsep=.05, loc=self.legendLoc) |
---|
1006 | if self.legend != None: |
---|
1007 | self.legend.set_picker(self.legend_picker) |
---|
1008 | self.legend.set_axes(self.subplot) |
---|
1009 | self.subplot.figure.canvas.draw_idle() |
---|
1010 | #self._onEVT_FUNC_PROPERTY() |
---|
1011 | |
---|
1012 | def remove_legend(self, ax=None): |
---|
1013 | """ |
---|
1014 | Remove legend for ax or the current axes. |
---|
1015 | """ |
---|
1016 | from pylab import gca, draw |
---|
1017 | if ax is None: |
---|
1018 | ax = gca() |
---|
1019 | ax.legend_ = None |
---|
1020 | #draw() |
---|
1021 | |
---|
1022 | def _on_addtext(self, event): |
---|
1023 | """ |
---|
1024 | Allows you to add text to the plot |
---|
1025 | """ |
---|
1026 | pos_x = 0 |
---|
1027 | pos_y = 0 |
---|
1028 | if self.position != None: |
---|
1029 | pos_x, pos_y = self.position |
---|
1030 | else: |
---|
1031 | pos_x, pos_y = 0.01, 1.00 |
---|
1032 | |
---|
1033 | textdial = TextDialog(None, -1, 'Add Custom Text') |
---|
1034 | if textdial.ShowModal() == wx.ID_OK: |
---|
1035 | try: |
---|
1036 | FONT = FontProperties() |
---|
1037 | label = textdial.getText() |
---|
1038 | xpos = pos_x |
---|
1039 | ypos = pos_y |
---|
1040 | font = FONT.copy() |
---|
1041 | font.set_size(textdial.getSize()) |
---|
1042 | font.set_family(textdial.getFamily()) |
---|
1043 | font.set_style(textdial.getStyle()) |
---|
1044 | font.set_weight(textdial.getWeight()) |
---|
1045 | colour = textdial.getColor() |
---|
1046 | if len(label) > 0 and xpos > 0 and ypos > 0: |
---|
1047 | new_text = self.subplot.text(str(xpos), str(ypos), label, |
---|
1048 | fontproperties=font, |
---|
1049 | color=colour) |
---|
1050 | self.textList.append(new_text) |
---|
1051 | self.subplot.figure.canvas.draw_idle() |
---|
1052 | except: |
---|
1053 | if self.parent != None: |
---|
1054 | from sans.guiframe.events import StatusEvent |
---|
1055 | msg= "Add Text: Error. Check your property values..." |
---|
1056 | wx.PostEvent(self.parent, StatusEvent(status = msg )) |
---|
1057 | else: |
---|
1058 | raise |
---|
1059 | textdial.Destroy() |
---|
1060 | #Have a pop up box come up for user to type in the |
---|
1061 | #text that they want to add...then create text Plottable |
---|
1062 | #based on this and plot it at user designated coordinates |
---|
1063 | |
---|
1064 | def onGridOnOff(self, event): |
---|
1065 | """ |
---|
1066 | Allows ON/OFF Grid |
---|
1067 | """ |
---|
1068 | if self.grid_on: |
---|
1069 | self.grid_on = False |
---|
1070 | else: |
---|
1071 | self.grid_on = True |
---|
1072 | self.subplot.figure.canvas.draw_idle() |
---|
1073 | |
---|
1074 | def _on_xaxis_label(self, event): |
---|
1075 | """ |
---|
1076 | Allows you to add text to the plot |
---|
1077 | """ |
---|
1078 | xaxis_label, xaxis_unit, xaxis_font, xaxis_color,\ |
---|
1079 | is_ok, is_tick = self._on_axis_label(axis='x') |
---|
1080 | if not is_ok: |
---|
1081 | return |
---|
1082 | |
---|
1083 | self.xaxis_label = xaxis_label |
---|
1084 | self.xaxis_unit = xaxis_unit |
---|
1085 | self.xaxis_font = xaxis_font |
---|
1086 | self.xaxis_color = xaxis_color |
---|
1087 | if is_tick: |
---|
1088 | self.xaxis_tick = xaxis_font |
---|
1089 | |
---|
1090 | if self.data != None: |
---|
1091 | # 2D |
---|
1092 | self.xaxis(self.xaxis_label, self.xaxis_unit,\ |
---|
1093 | self.xaxis_font, self.xaxis_color, self.xaxis_tick) |
---|
1094 | self.subplot.figure.canvas.draw_idle() |
---|
1095 | else: |
---|
1096 | # 1D |
---|
1097 | self._check_zoom_plot() |
---|
1098 | |
---|
1099 | def _check_zoom_plot(self): |
---|
1100 | """ |
---|
1101 | Check the zoom range and plot (1D only) |
---|
1102 | """ |
---|
1103 | xlo, xhi = self.subplot.get_xlim() |
---|
1104 | ylo, yhi = self.subplot.get_ylim() |
---|
1105 | ## Set the view scale for all plots |
---|
1106 | self._onEVT_FUNC_PROPERTY(False) |
---|
1107 | # Check if zoomed |
---|
1108 | toolbar_zoomed = self.toolbar.GetToolEnabled(self.toolbar._NTB2_BACK) |
---|
1109 | if self.is_zoomed or toolbar_zoomed: |
---|
1110 | # Recover the x,y limits |
---|
1111 | self.subplot.set_xlim((xlo, xhi)) |
---|
1112 | self.subplot.set_ylim((ylo, yhi)) |
---|
1113 | |
---|
1114 | def _on_yaxis_label(self, event): |
---|
1115 | """ |
---|
1116 | Allows you to add text to the plot |
---|
1117 | """ |
---|
1118 | yaxis_label, yaxis_unit, yaxis_font, yaxis_color,\ |
---|
1119 | is_ok, is_tick = self._on_axis_label(axis='y') |
---|
1120 | if not is_ok: |
---|
1121 | return |
---|
1122 | |
---|
1123 | self.yaxis_label = yaxis_label |
---|
1124 | self.yaxis_unit = yaxis_unit |
---|
1125 | self.yaxis_font = yaxis_font |
---|
1126 | self.yaxis_color = yaxis_color |
---|
1127 | if is_tick: |
---|
1128 | self.yaxis_tick = yaxis_font |
---|
1129 | |
---|
1130 | if self.data != None: |
---|
1131 | # 2D |
---|
1132 | self.yaxis(self.yaxis_label, self.yaxis_unit,\ |
---|
1133 | self.yaxis_font, self.yaxis_color, self.yaxis_tick) |
---|
1134 | self.subplot.figure.canvas.draw_idle() |
---|
1135 | else: |
---|
1136 | # 1D |
---|
1137 | self._check_zoom_plot() |
---|
1138 | |
---|
1139 | |
---|
1140 | def _on_axis_label(self, axis='x'): |
---|
1141 | """ |
---|
1142 | Modify axes labels |
---|
1143 | |
---|
1144 | :param axis: x or y axis [string] |
---|
1145 | """ |
---|
1146 | is_ok = True |
---|
1147 | title = 'Modify %s axis label'% axis |
---|
1148 | font = 'serif' |
---|
1149 | colour = 'black' |
---|
1150 | if axis == 'x': |
---|
1151 | label = self.xaxis_label |
---|
1152 | unit = self.xaxis_unit |
---|
1153 | else: |
---|
1154 | label = self.yaxis_label |
---|
1155 | unit = self.yaxis_unit |
---|
1156 | textdial = TextDialog(None, -1, title, label, unit) |
---|
1157 | if textdial.ShowModal() == wx.ID_OK: |
---|
1158 | try: |
---|
1159 | FONT = FontProperties() |
---|
1160 | font = FONT.copy() |
---|
1161 | font.set_size(textdial.getSize()) |
---|
1162 | font.set_family(textdial.getFamily()) |
---|
1163 | font.set_style(textdial.getStyle()) |
---|
1164 | font.set_weight(textdial.getWeight()) |
---|
1165 | unit = textdial.getUnit() |
---|
1166 | colour = textdial.getColor() |
---|
1167 | is_tick = textdial.getTickLabel() |
---|
1168 | label_temp = textdial.getText() |
---|
1169 | if label_temp.count("\%s"% "\\") > 0: |
---|
1170 | if self.parent != None: |
---|
1171 | from sans.guiframe.events import StatusEvent |
---|
1172 | msg= "Add Label: Error. Can not use double '\\' " |
---|
1173 | msg += "characters..." |
---|
1174 | wx.PostEvent(self.parent, StatusEvent(status = msg )) |
---|
1175 | else: |
---|
1176 | label = label_temp |
---|
1177 | except: |
---|
1178 | if self.parent != None: |
---|
1179 | from sans.guiframe.events import StatusEvent |
---|
1180 | msg= "Add Label: Error. Check your property values..." |
---|
1181 | wx.PostEvent(self.parent, StatusEvent(status = msg )) |
---|
1182 | else: |
---|
1183 | pass |
---|
1184 | else: |
---|
1185 | is_ok = False |
---|
1186 | is_tick = True |
---|
1187 | textdial.Destroy() |
---|
1188 | return label, unit, font, colour, is_ok, is_tick |
---|
1189 | |
---|
1190 | def _on_removetext(self, event): |
---|
1191 | """ |
---|
1192 | Removes all text from the plot. |
---|
1193 | Eventually, add option to remove specific text boxes |
---|
1194 | """ |
---|
1195 | num_text = len(self.textList) |
---|
1196 | if num_text < 1: |
---|
1197 | if self.parent != None: |
---|
1198 | from sans.guiframe.events import StatusEvent |
---|
1199 | msg= "Remove Text: Nothing to remove. " |
---|
1200 | wx.PostEvent(self.parent, StatusEvent(status = msg )) |
---|
1201 | else: |
---|
1202 | raise |
---|
1203 | return |
---|
1204 | txt = self.textList[num_text-1] |
---|
1205 | try: |
---|
1206 | text_remove = txt.get_text() |
---|
1207 | txt.remove() |
---|
1208 | if self.parent != None: |
---|
1209 | from sans.guiframe.events import StatusEvent |
---|
1210 | msg= "Removed Text: '%s'. " % text_remove |
---|
1211 | wx.PostEvent(self.parent, StatusEvent(status = msg )) |
---|
1212 | except: |
---|
1213 | if self.parent != None: |
---|
1214 | from sans.guiframe.events import StatusEvent |
---|
1215 | msg= "Remove Text: Error occurred. " |
---|
1216 | wx.PostEvent(self.parent, StatusEvent(status = msg )) |
---|
1217 | else: |
---|
1218 | raise |
---|
1219 | self.textList.remove(txt) |
---|
1220 | |
---|
1221 | self.subplot.figure.canvas.draw_idle() |
---|
1222 | |
---|
1223 | def properties(self, prop): |
---|
1224 | """ |
---|
1225 | Set some properties of the graph. |
---|
1226 | The set of properties is not yet determined. |
---|
1227 | |
---|
1228 | """ |
---|
1229 | # The particulars of how they are stored and manipulated (e.g., do |
---|
1230 | # we want an inventory internally) is not settled. I've used a |
---|
1231 | # property dictionary for now. |
---|
1232 | # |
---|
1233 | # How these properties interact with a user defined style file is |
---|
1234 | # even less clear. |
---|
1235 | |
---|
1236 | # Properties defined by plot |
---|
1237 | self.subplot.set_xlabel(r"$%s$" % prop["xlabel"]) |
---|
1238 | self.subplot.set_ylabel(r"$%s$" % prop["ylabel"]) |
---|
1239 | self.subplot.set_title(prop["title"]) |
---|
1240 | |
---|
1241 | # Properties defined by user |
---|
1242 | #self.axes.grid(True) |
---|
1243 | |
---|
1244 | def clear(self): |
---|
1245 | """Reset the plot""" |
---|
1246 | # TODO: Redraw is brutal. Render to a backing store and swap in |
---|
1247 | # TODO: rather than redrawing on the fly. |
---|
1248 | self.subplot.clear() |
---|
1249 | self.subplot.hold(True) |
---|
1250 | |
---|
1251 | def render(self): |
---|
1252 | """Commit the plot after all objects are drawn""" |
---|
1253 | # TODO: this is when the backing store should be swapped in. |
---|
1254 | if self.legend_on: |
---|
1255 | ax = self.subplot |
---|
1256 | ax.texts = self.textList |
---|
1257 | try: |
---|
1258 | handles, labels = ax.get_legend_handles_labels() |
---|
1259 | # sort them by labels |
---|
1260 | hl = sorted(zip(handles, labels), |
---|
1261 | key=operator.itemgetter(1)) |
---|
1262 | handles2, labels2 = zip(*hl) |
---|
1263 | self.line_collections_list = handles2 |
---|
1264 | self.legend = ax.legend(handles2, labels2, numpoints=1, |
---|
1265 | prop=FontProperties(size=10), |
---|
1266 | handletextsep=.05, loc=self.legendLoc) |
---|
1267 | if self.legend != None: |
---|
1268 | self.legend.set_picker(self.legend_picker) |
---|
1269 | self.legend.set_axes(self.subplot) |
---|
1270 | |
---|
1271 | except: |
---|
1272 | self.legend = ax.legend(prop=FontProperties(size=10), numpoints=1, |
---|
1273 | handletextsep=.05, loc=self.legendLoc) |
---|
1274 | |
---|
1275 | def xaxis(self, label, units, font=None, color='black', t_font=None): |
---|
1276 | """xaxis label and units. |
---|
1277 | |
---|
1278 | Axis labels know about units. |
---|
1279 | |
---|
1280 | We need to do this so that we can detect when axes are not |
---|
1281 | commesurate. Currently this is ignored other than for formatting |
---|
1282 | purposes. |
---|
1283 | |
---|
1284 | """ |
---|
1285 | if units != "": |
---|
1286 | label = label + " (" + units + ")" |
---|
1287 | if label.count("{") > 0 and label.count("$") < 2: |
---|
1288 | label = '$' + label + '$' |
---|
1289 | if font: |
---|
1290 | self.subplot.set_xlabel(label, fontproperties=font, color=color) |
---|
1291 | if t_font != None: |
---|
1292 | for tick in self.subplot.xaxis.get_major_ticks(): |
---|
1293 | tick.label.set_fontproperties(t_font) |
---|
1294 | for line in self.subplot.xaxis.get_ticklines(): |
---|
1295 | size = t_font.get_size() |
---|
1296 | line.set_markersize(size / 3) |
---|
1297 | #line.set_markeredgewidth(int(size / 24 + 1)) |
---|
1298 | else: |
---|
1299 | self.subplot.set_xlabel(label, color=color) |
---|
1300 | pass |
---|
1301 | |
---|
1302 | def yaxis(self, label, units, font=None, color='black', t_font=None): |
---|
1303 | """yaxis label and units.""" |
---|
1304 | if units != "": |
---|
1305 | label = label + " (" + units + ")" |
---|
1306 | if label.count("{") > 0 and label.count("$") < 2: |
---|
1307 | label = '$' + label + '$' |
---|
1308 | if font: |
---|
1309 | self.subplot.set_ylabel(label, fontproperties=font, color=color) |
---|
1310 | if t_font != None: |
---|
1311 | for tick_label in self.subplot.get_yticklabels(): |
---|
1312 | tick_label.set_fontproperties(t_font) |
---|
1313 | for line in self.subplot.yaxis.get_ticklines(): |
---|
1314 | size = t_font.get_size() |
---|
1315 | line.set_markersize(size / 3) |
---|
1316 | else: |
---|
1317 | self.subplot.set_ylabel(label, color=color) |
---|
1318 | pass |
---|
1319 | |
---|
1320 | def _connect_to_xlim(self,callback): |
---|
1321 | """Bind the xlim change notification to the callback""" |
---|
1322 | def process_xlim(axes): |
---|
1323 | lo, hi = subplot.get_xlim() |
---|
1324 | callback(lo, hi) |
---|
1325 | self.subplot.callbacks.connect('xlim_changed', process_xlim) |
---|
1326 | |
---|
1327 | #def connect(self,trigger,callback): |
---|
1328 | # print "PlotPanel.connect???" |
---|
1329 | # if trigger == 'xlim': self._connect_to_xlim(callback) |
---|
1330 | |
---|
1331 | def interactive_points(self, x, y, dx=None, dy=None, name='', color=0, |
---|
1332 | symbol=0, markersize=5, id=None, label=None, hide_error=False): |
---|
1333 | """Draw markers with error bars""" |
---|
1334 | self.subplot.set_yscale('linear') |
---|
1335 | self.subplot.set_xscale('linear') |
---|
1336 | if id is None: |
---|
1337 | id = name |
---|
1338 | from plottable_interactor import PointInteractor |
---|
1339 | p = PointInteractor(self, self.subplot, zorder=3, id=id) |
---|
1340 | if p.markersize != None: |
---|
1341 | markersize = p.markersize |
---|
1342 | p.points(x, y, dx=dx, dy=dy, color=color, symbol=symbol, markersize=markersize, label=label, |
---|
1343 | hide_error=hide_error) |
---|
1344 | |
---|
1345 | self.subplot.set_yscale(self.yscale,nonposy='clip') |
---|
1346 | self.subplot.set_xscale(self.xscale) |
---|
1347 | |
---|
1348 | |
---|
1349 | def interactive_curve(self,x,y,dy=None,name='',color=0,symbol=0,id=None,label=None): |
---|
1350 | """Draw markers with error bars""" |
---|
1351 | self.subplot.set_yscale('linear') |
---|
1352 | self.subplot.set_xscale('linear') |
---|
1353 | if id is None: |
---|
1354 | id = name |
---|
1355 | from plottable_interactor import PointInteractor |
---|
1356 | p = PointInteractor(self, self.subplot, zorder=4, id=id) |
---|
1357 | p.curve(x, y, dy=dy, color=color, symbol=symbol, label=label) |
---|
1358 | |
---|
1359 | self.subplot.set_yscale(self.yscale,nonposy='clip') |
---|
1360 | self.subplot.set_xscale(self.xscale) |
---|
1361 | |
---|
1362 | |
---|
1363 | def plottable_selected(self, id): |
---|
1364 | """ |
---|
1365 | Called to register a plottable as selected |
---|
1366 | """ |
---|
1367 | #TODO: check that it really is in the list of plottables |
---|
1368 | self.graph.selected_plottable = id |
---|
1369 | |
---|
1370 | def points(self, x, y, dx=None, dy=None, |
---|
1371 | color=0, symbol=0, marker_size=5, label=None,id=None, hide_error=False): |
---|
1372 | """Draw markers with error bars""" |
---|
1373 | #self.subplot.set_yscale('linear') |
---|
1374 | #self.subplot.set_xscale('linear') |
---|
1375 | |
---|
1376 | # Convert tuple (lo,hi) to array [(x-lo),(hi-x)] |
---|
1377 | if dx != None and type(dx) == type(()): |
---|
1378 | dx = nx.vstack((x-dx[0], dx[1]-x)).transpose() |
---|
1379 | if dy != None and type(dy) == type(()): |
---|
1380 | dy = nx.vstack((y-dy[0], dy[1]-y)).transpose() |
---|
1381 | if dx == None and dy == None: |
---|
1382 | h = self.subplot.plot(x, y, color=self._color(color), |
---|
1383 | marker=self._symbol(symbol), markersize=marker_size, |
---|
1384 | linestyle='', |
---|
1385 | label=label) |
---|
1386 | |
---|
1387 | else: |
---|
1388 | col = self._color(color) |
---|
1389 | if hide_error: |
---|
1390 | h = self.subplot.plot(x, y, color=col, |
---|
1391 | marker=self._symbol(symbol), markersize=marker_size, |
---|
1392 | linestyle='', |
---|
1393 | label=label) |
---|
1394 | |
---|
1395 | else: |
---|
1396 | h= self.subplot.errorbar(x, y, yerr=dy, xerr=None, |
---|
1397 | ecolor=col, capsize=2, linestyle='', |
---|
1398 | barsabove=False, |
---|
1399 | mec=col, mfc=col, |
---|
1400 | marker=self._symbol(symbol), |
---|
1401 | markersize=marker_size, |
---|
1402 | lolims=False, uplims=False, |
---|
1403 | xlolims=False, xuplims=False, label=label) |
---|
1404 | |
---|
1405 | self.subplot.set_yscale(self.yscale, nonposy='clip') |
---|
1406 | self.subplot.set_xscale(self.xscale) |
---|
1407 | |
---|
1408 | def _onToggleScale(self, event): |
---|
1409 | """ |
---|
1410 | toggle axis and replot image |
---|
1411 | |
---|
1412 | """ |
---|
1413 | zmin_2D_temp = self.zmin_2D |
---|
1414 | zmax_2D_temp = self.zmax_2D |
---|
1415 | if self.scale == 'log_{10}': |
---|
1416 | self.scale = 'linear' |
---|
1417 | if not self.zmin_2D is None: |
---|
1418 | zmin_2D_temp = math.pow(10, self.zmin_2D) |
---|
1419 | if not self.zmax_2D is None: |
---|
1420 | zmax_2D_temp = math.pow(10, self.zmax_2D) |
---|
1421 | else: |
---|
1422 | self.scale = 'log_{10}' |
---|
1423 | if not self.zmin_2D is None: |
---|
1424 | # min log value: no log(negative) |
---|
1425 | if self.zmin_2D <= 0: |
---|
1426 | zmin_2D_temp = -32 |
---|
1427 | else: |
---|
1428 | zmin_2D_temp = math.log10(self.zmin_2D) |
---|
1429 | if not self.zmax_2D is None: |
---|
1430 | zmax_2D_temp = math.log10(self.zmax_2D) |
---|
1431 | |
---|
1432 | self.image(data=self.data, qx_data=self.qx_data, |
---|
1433 | qy_data=self.qy_data, xmin=self.xmin_2D, |
---|
1434 | xmax=self.xmax_2D, |
---|
1435 | ymin=self.ymin_2D, ymax=self.ymax_2D, |
---|
1436 | cmap=self.cmap, zmin=zmin_2D_temp, |
---|
1437 | zmax=zmax_2D_temp) |
---|
1438 | |
---|
1439 | def image(self, data, qx_data, qy_data, xmin, xmax, ymin, ymax, |
---|
1440 | zmin, zmax, color=0, symbol=0, markersize=0, label='data2D', cmap=DEFAULT_CMAP): |
---|
1441 | """ |
---|
1442 | Render the current data |
---|
1443 | |
---|
1444 | """ |
---|
1445 | self.data = data |
---|
1446 | self.qx_data = qx_data |
---|
1447 | self.qy_data = qy_data |
---|
1448 | self.xmin_2D = xmin |
---|
1449 | self.xmax_2D = xmax |
---|
1450 | self.ymin_2D = ymin |
---|
1451 | self.ymax_2D = ymax |
---|
1452 | self.zmin_2D = zmin |
---|
1453 | self.zmax_2D = zmax |
---|
1454 | c = self._color(color) |
---|
1455 | # If we don't have any data, skip. |
---|
1456 | if self.data == None: |
---|
1457 | return |
---|
1458 | if self.data.ndim == 1: |
---|
1459 | output = self._build_matrix() |
---|
1460 | else: |
---|
1461 | output = copy.deepcopy(self.data) |
---|
1462 | # check scale |
---|
1463 | if self.scale == 'log_{10}': |
---|
1464 | try: |
---|
1465 | if self.zmin_2D <= 0 and len(output[output > 0]) > 0: |
---|
1466 | zmin_temp = self.zmin_2D |
---|
1467 | output[output>0] = numpy.log10(output[output>0]) |
---|
1468 | #In log scale Negative values are not correct in general |
---|
1469 | #output[output<=0] = math.log(numpy.min(output[output>0])) |
---|
1470 | elif self.zmin_2D <= 0: |
---|
1471 | zmin_temp = self.zmin_2D |
---|
1472 | output[output>0] = numpy.zeros(len(output)) |
---|
1473 | output[output<=0] = -32 |
---|
1474 | else: |
---|
1475 | zmin_temp = self.zmin_2D |
---|
1476 | output[output>0] = numpy.log10(output[output>0]) |
---|
1477 | #In log scale Negative values are not correct in general |
---|
1478 | #output[output<=0] = math.log(numpy.min(output[output>0])) |
---|
1479 | except: |
---|
1480 | #Too many problems in 2D plot with scale |
---|
1481 | pass |
---|
1482 | |
---|
1483 | else: |
---|
1484 | zmin_temp = self.zmin_2D |
---|
1485 | self.cmap = cmap |
---|
1486 | if self.dimension != 3: |
---|
1487 | #Re-adjust colorbar |
---|
1488 | self.subplot.figure.subplots_adjust(left=0.2, right=.8, bottom=.2) |
---|
1489 | |
---|
1490 | im = self.subplot.imshow(output, interpolation='nearest', |
---|
1491 | origin='lower', |
---|
1492 | vmin=zmin_temp, vmax=self.zmax_2D, |
---|
1493 | cmap=self.cmap, |
---|
1494 | extent=(self.xmin_2D, self.xmax_2D, |
---|
1495 | self.ymin_2D, self.ymax_2D)) |
---|
1496 | |
---|
1497 | cbax = self.subplot.figure.add_axes([0.84,0.2,0.02,0.7]) |
---|
1498 | else: |
---|
1499 | # clear the previous 2D from memory |
---|
1500 | # mpl is not clf, so we do |
---|
1501 | self.subplot.figure.clear() |
---|
1502 | |
---|
1503 | self.subplot.figure.subplots_adjust(left=0.1, right=.8, bottom=.1) |
---|
1504 | |
---|
1505 | X = self.x_bins[0:-1] |
---|
1506 | Y = self.y_bins[0:-1] |
---|
1507 | X, Y = numpy.meshgrid(X, Y) |
---|
1508 | |
---|
1509 | try: |
---|
1510 | # mpl >= 1.0.0 |
---|
1511 | fig = self.subplot.figure |
---|
1512 | cbax = fig.add_axes([0.84,0.1,0.02,0.8]) |
---|
1513 | ax = fig.gca(projection='3d') |
---|
1514 | if len(X) > 60: |
---|
1515 | ax.disable_mouse_rotation() |
---|
1516 | except: |
---|
1517 | # mpl < 1.0.0 |
---|
1518 | if PLOT_3D_ON: |
---|
1519 | #Todo: Find out why another clear need here |
---|
1520 | self.subplot.figure.clear() |
---|
1521 | ax = Axes3D(self.subplot.figure) |
---|
1522 | if len(X) > 60: |
---|
1523 | ax.cla() |
---|
1524 | cbax = None |
---|
1525 | else: |
---|
1526 | raise |
---|
1527 | |
---|
1528 | im = ax.plot_surface(X, Y, output, rstride=1, cstride=1, cmap=cmap, |
---|
1529 | linewidth=0, antialiased=False) |
---|
1530 | #ax.set_zlim3d(zmin_temp, self.zmax_2D) |
---|
1531 | #ax.set_frame_on(False) |
---|
1532 | self.subplot.set_axis_off() |
---|
1533 | |
---|
1534 | if cbax == None: |
---|
1535 | ax.set_frame_on(False) |
---|
1536 | cb =self.subplot.figure.colorbar(im, shrink=0.8, aspect=20) |
---|
1537 | else: |
---|
1538 | cb =self.subplot.figure.colorbar(im, cax=cbax) |
---|
1539 | cb.update_bruteforce(im) |
---|
1540 | cb.set_label('$' + self.scale + '$') |
---|
1541 | self.figure.canvas.draw_idle() |
---|
1542 | |
---|
1543 | def _build_matrix(self): |
---|
1544 | """ |
---|
1545 | Build a matrix for 2d plot from a vector |
---|
1546 | Returns a matrix (image) with ~ square binning |
---|
1547 | Requirement: need 1d array formats of |
---|
1548 | self.data, self.qx_data, and self.qy_data |
---|
1549 | where each one corresponds to z, x, or y axis values |
---|
1550 | |
---|
1551 | """ |
---|
1552 | # No qx or qy given in a vector format |
---|
1553 | if self.qx_data == None or self.qy_data == None \ |
---|
1554 | or self.qx_data.ndim != 1 or self.qy_data.ndim != 1: |
---|
1555 | # do we need deepcopy here? |
---|
1556 | return copy.deepcopy(self.data) |
---|
1557 | |
---|
1558 | # maximum # of loops to fillup_pixels |
---|
1559 | # otherwise, loop could never stop depending on data |
---|
1560 | max_loop = 1 |
---|
1561 | # get the x and y_bin arrays. |
---|
1562 | self._get_bins() |
---|
1563 | # set zero to None |
---|
1564 | |
---|
1565 | #Note: Can not use scipy.interpolate.Rbf: |
---|
1566 | # 'cause too many data points (>10000)<=JHC. |
---|
1567 | # 1d array to use for weighting the data point averaging |
---|
1568 | #when they fall into a same bin. |
---|
1569 | weights_data = numpy.ones([self.data.size]) |
---|
1570 | # get histogram of ones w/len(data); this will provide |
---|
1571 | #the weights of data on each bins |
---|
1572 | weights, xedges, yedges = numpy.histogram2d(x=self.qy_data, |
---|
1573 | y=self.qx_data, |
---|
1574 | bins=[self.y_bins, self.x_bins], |
---|
1575 | weights=weights_data) |
---|
1576 | # get histogram of data, all points into a bin in a way of summing |
---|
1577 | image, xedges, yedges = numpy.histogram2d(x=self.qy_data, |
---|
1578 | y=self.qx_data, |
---|
1579 | bins=[self.y_bins, self.x_bins], |
---|
1580 | weights=self.data) |
---|
1581 | # Now, normalize the image by weights only for weights>1: |
---|
1582 | # If weight == 1, there is only one data point in the bin so |
---|
1583 | # that no normalization is required. |
---|
1584 | image[weights>1] = image[weights>1]/weights[weights>1] |
---|
1585 | # Set image bins w/o a data point (weight==0) as None (was set to zero |
---|
1586 | # by histogram2d.) |
---|
1587 | image[weights==0] = None |
---|
1588 | |
---|
1589 | # Fill empty bins with 8 nearest neighbors only when at least |
---|
1590 | #one None point exists |
---|
1591 | loop = 0 |
---|
1592 | |
---|
1593 | # do while loop until all vacant bins are filled up up |
---|
1594 | #to loop = max_loop |
---|
1595 | while(not(numpy.isfinite(image[weights == 0])).all()): |
---|
1596 | if loop >= max_loop: # this protects never-ending loop |
---|
1597 | break |
---|
1598 | image = self._fillup_pixels(image=image, weights=weights) |
---|
1599 | loop += 1 |
---|
1600 | |
---|
1601 | return image |
---|
1602 | |
---|
1603 | def _get_bins(self): |
---|
1604 | """ |
---|
1605 | get bins |
---|
1606 | set x_bins and y_bins into self, 1d arrays of the index with |
---|
1607 | ~ square binning |
---|
1608 | Requirement: need 1d array formats of |
---|
1609 | self.qx_data, and self.qy_data |
---|
1610 | where each one corresponds to x, or y axis values |
---|
1611 | |
---|
1612 | """ |
---|
1613 | # No qx or qy given in a vector format |
---|
1614 | if self.qx_data == None or self.qy_data == None \ |
---|
1615 | or self.qx_data.ndim != 1 or self.qy_data.ndim != 1: |
---|
1616 | # do we need deepcopy here? |
---|
1617 | return copy.deepcopy(self.data) |
---|
1618 | |
---|
1619 | # find max and min values of qx and qy |
---|
1620 | xmax = numpy.max(self.qx_data) |
---|
1621 | xmin = numpy.min(self.qx_data) |
---|
1622 | ymax = numpy.max(self.qy_data) |
---|
1623 | ymin = numpy.min(self.qy_data) |
---|
1624 | |
---|
1625 | # calculate the range of qx and qy: this way, it is a little |
---|
1626 | # more independent |
---|
1627 | x_size = xmax - xmin |
---|
1628 | y_size = ymax - ymin |
---|
1629 | |
---|
1630 | # estimate the # of pixels on each axes |
---|
1631 | npix_y = int(math.floor(math.sqrt(len(self.qy_data)))) |
---|
1632 | npix_x = int(math.floor(len(self.qy_data) / npix_y)) |
---|
1633 | |
---|
1634 | # bin size: x- & y-directions |
---|
1635 | xstep = x_size / (npix_x - 1) |
---|
1636 | ystep = y_size / (npix_y - 1) |
---|
1637 | |
---|
1638 | # max and min taking account of the bin sizes |
---|
1639 | xmax = xmax + xstep / 2 |
---|
1640 | xmin = xmin - xstep / 2 |
---|
1641 | ymax = ymax + ystep / 2 |
---|
1642 | ymin = ymin - ystep / 2 |
---|
1643 | |
---|
1644 | # store x and y bin centers in q space |
---|
1645 | x_bins = numpy.arange(xmin, xmax + xstep / 10, xstep) |
---|
1646 | y_bins = numpy.arange(ymin, ymax + ystep / 10, ystep) |
---|
1647 | |
---|
1648 | #set x_bins and y_bins |
---|
1649 | self.x_bins = x_bins |
---|
1650 | self.y_bins = y_bins |
---|
1651 | |
---|
1652 | def _fillup_pixels(self, image=None, weights=None): |
---|
1653 | """ |
---|
1654 | Fill z values of the empty cells of 2d image matrix |
---|
1655 | with the average over up-to next nearest neighbor points |
---|
1656 | |
---|
1657 | :param image: (2d matrix with some zi = None) |
---|
1658 | |
---|
1659 | :return: image (2d array ) |
---|
1660 | |
---|
1661 | :TODO: Find better way to do for-loop below |
---|
1662 | |
---|
1663 | """ |
---|
1664 | # No image matrix given |
---|
1665 | if image == None or numpy.ndim(image) != 2 \ |
---|
1666 | or numpy.isfinite(image).all() \ |
---|
1667 | or weights == None: |
---|
1668 | return image |
---|
1669 | # Get bin size in y and x directions |
---|
1670 | len_y = len(image) |
---|
1671 | len_x = len(image[1]) |
---|
1672 | temp_image = numpy.zeros([len_y, len_x]) |
---|
1673 | weit = numpy.zeros([len_y, len_x]) |
---|
1674 | # do for-loop for all pixels |
---|
1675 | for n_y in range(len(image)): |
---|
1676 | for n_x in range(len(image[1])): |
---|
1677 | # find only null pixels |
---|
1678 | if weights[n_y][n_x] > 0 or numpy.isfinite(image[n_y][n_x]): |
---|
1679 | continue |
---|
1680 | else: |
---|
1681 | # find 4 nearest neighbors |
---|
1682 | # check where or not it is at the corner |
---|
1683 | if n_y != 0 and numpy.isfinite(image[n_y-1][n_x]): |
---|
1684 | temp_image[n_y][n_x] += image[n_y-1][n_x] |
---|
1685 | weit[n_y][n_x] += 1 |
---|
1686 | if n_x != 0 and numpy.isfinite(image[n_y][n_x-1]): |
---|
1687 | temp_image[n_y][n_x] += image[n_y][n_x-1] |
---|
1688 | weit[n_y][n_x] += 1 |
---|
1689 | if n_y != len_y -1 and numpy.isfinite(image[n_y+1][n_x]): |
---|
1690 | temp_image[n_y][n_x] += image[n_y+1][n_x] |
---|
1691 | weit[n_y][n_x] += 1 |
---|
1692 | if n_x != len_x -1 and numpy.isfinite(image[n_y][n_x+1]): |
---|
1693 | temp_image[n_y][n_x] += image[n_y][n_x+1] |
---|
1694 | weit[n_y][n_x] += 1 |
---|
1695 | # go 4 next nearest neighbors when no non-zero |
---|
1696 | # neighbor exists |
---|
1697 | #if weight[n_y][n_x] == 0: |
---|
1698 | if n_y != 0 and n_x != 0 and\ |
---|
1699 | numpy.isfinite(image[n_y-1][n_x-1]): |
---|
1700 | temp_image[n_y][n_x] += image[n_y-1][n_x-1] |
---|
1701 | weit[n_y][n_x] += 1 |
---|
1702 | if n_y != len_y -1 and n_x != 0 and \ |
---|
1703 | numpy.isfinite(image[n_y+1][n_x-1]): |
---|
1704 | temp_image[n_y][n_x] += image[n_y+1][n_x-1] |
---|
1705 | weit[n_y][n_x] += 1 |
---|
1706 | if n_y != len_y and n_x != len_x -1 and \ |
---|
1707 | numpy.isfinite(image[n_y-1][n_x+1]): |
---|
1708 | temp_image[n_y][n_x] += image[n_y-1][n_x+1] |
---|
1709 | weit[n_y][n_x] += 1 |
---|
1710 | if n_y != len_y -1 and n_x != len_x -1 and \ |
---|
1711 | numpy.isfinite(image[n_y+1][n_x+1]): |
---|
1712 | temp_image[n_y][n_x] += image[n_y+1][n_x+1] |
---|
1713 | weit[n_y][n_x] += 1 |
---|
1714 | |
---|
1715 | # get it normalized |
---|
1716 | ind = (weit > 0) |
---|
1717 | image[ind] = temp_image[ind] / weit[ind] |
---|
1718 | |
---|
1719 | return image |
---|
1720 | |
---|
1721 | def curve(self, x, y, dy=None, color=0, symbol=0, label=None): |
---|
1722 | """Draw a line on a graph, possibly with confidence intervals.""" |
---|
1723 | c = self._color(color) |
---|
1724 | self.subplot.set_yscale('linear') |
---|
1725 | self.subplot.set_xscale('linear') |
---|
1726 | |
---|
1727 | hlist = self.subplot.plot(x, y, color=c, marker='', |
---|
1728 | linestyle='-', label=label) |
---|
1729 | self.subplot.set_yscale(self.yscale) |
---|
1730 | self.subplot.set_xscale(self.xscale) |
---|
1731 | |
---|
1732 | def _color(self, c): |
---|
1733 | """Return a particular colour""" |
---|
1734 | return self.colorlist[c%len(self.colorlist)] |
---|
1735 | |
---|
1736 | def _symbol(self, s): |
---|
1737 | """Return a particular symbol""" |
---|
1738 | return self.symbollist[s%len(self.symbollist)] |
---|
1739 | |
---|
1740 | def _replot(self, remove_fit=False): |
---|
1741 | """ |
---|
1742 | Rescale the plottables according to the latest |
---|
1743 | user selection and update the plot |
---|
1744 | |
---|
1745 | :param remove_fit: Fit line will be removed if True |
---|
1746 | |
---|
1747 | """ |
---|
1748 | self.graph.reset_scale() |
---|
1749 | self._onEVT_FUNC_PROPERTY(remove_fit=remove_fit) |
---|
1750 | #TODO: Why do we have to have the following line? |
---|
1751 | self.fit_result.reset_view() |
---|
1752 | self.graph.render(self) |
---|
1753 | self.subplot.figure.canvas.draw_idle() |
---|
1754 | |
---|
1755 | def _onEVT_FUNC_PROPERTY(self, remove_fit=True): |
---|
1756 | """ |
---|
1757 | Receive the x and y transformation from myDialog, |
---|
1758 | Transforms x and y in View |
---|
1759 | and set the scale |
---|
1760 | """ |
---|
1761 | # The logic should be in the right order |
---|
1762 | # Delete first, and then get the whole list... |
---|
1763 | if remove_fit: |
---|
1764 | self.graph.delete(self.fit_result) |
---|
1765 | |
---|
1766 | list = [] |
---|
1767 | list = self.graph.returnPlottable() |
---|
1768 | # Changing the scale might be incompatible with |
---|
1769 | # currently displayed data (for instance, going |
---|
1770 | # from ln to log when all plotted values have |
---|
1771 | # negative natural logs). |
---|
1772 | # Go linear and only change the scale at the end. |
---|
1773 | self.set_xscale("linear") |
---|
1774 | self.set_yscale("linear") |
---|
1775 | _xscale = 'linear' |
---|
1776 | _yscale = 'linear' |
---|
1777 | for item in list: |
---|
1778 | item.setLabel(self.xLabel, self.yLabel) |
---|
1779 | |
---|
1780 | # control axis labels from the panel itself |
---|
1781 | yname, yunits = item.get_yaxis() |
---|
1782 | if self.yaxis_label != None: |
---|
1783 | yname = self.yaxis_label |
---|
1784 | yunits = self.yaxis_unit |
---|
1785 | else: |
---|
1786 | self.yaxis_label = yname |
---|
1787 | self.yaxis_unit = yunits |
---|
1788 | xname, xunits = item.get_xaxis() |
---|
1789 | if self.xaxis_label != None: |
---|
1790 | xname = self.xaxis_label |
---|
1791 | xunits = self.xaxis_unit |
---|
1792 | else: |
---|
1793 | self.xaxis_label = xname |
---|
1794 | self.xaxis_unit = xunits |
---|
1795 | # Goes through all possible scales |
---|
1796 | if(self.xLabel == "x"): |
---|
1797 | item.transformX(transform.toX, transform.errToX) |
---|
1798 | self.graph._xaxis_transformed("%s" % xname, "%s" % xunits) |
---|
1799 | if(self.xLabel == "x^(2)"): |
---|
1800 | item.transformX(transform.toX2, transform.errToX2) |
---|
1801 | xunits = convertUnit(2,xunits) |
---|
1802 | self.graph._xaxis_transformed("%s^{2}" % xname, "%s" % xunits) |
---|
1803 | if(self.xLabel == "x^(4)"): |
---|
1804 | item.transformX(transform.toX4, transform.errToX4) |
---|
1805 | xunits = convertUnit(4,xunits) |
---|
1806 | self.graph._xaxis_transformed("%s^{4}" % xname, "%s" % xunits) |
---|
1807 | if(self.xLabel == "ln(x)"): |
---|
1808 | item.transformX(transform.toLogX,transform.errToLogX) |
---|
1809 | self.graph._xaxis_transformed("\ln\\ %s" % xname, "%s" % xunits) |
---|
1810 | if(self.xLabel == "log10(x)"): |
---|
1811 | item.transformX(transform.toX_pos, transform.errToX_pos) |
---|
1812 | _xscale = 'log' |
---|
1813 | self.graph._xaxis_transformed("%s" % xname, "%s" % xunits) |
---|
1814 | if(self.xLabel == "log10(x^(4))"): |
---|
1815 | item.transformX(transform.toX4, transform.errToX4) |
---|
1816 | xunits = convertUnit(4,xunits) |
---|
1817 | self.graph._xaxis_transformed("%s^{4}" % xname, "%s" % xunits) |
---|
1818 | _xscale = 'log' |
---|
1819 | if(self.yLabel == "ln(y)"): |
---|
1820 | item.transformY(transform.toLogX, transform.errToLogX) |
---|
1821 | self.graph._yaxis_transformed("\ln\\ %s" % yname, "%s" % yunits) |
---|
1822 | if(self.yLabel == "y"): |
---|
1823 | item.transformY(transform.toX, transform.errToX) |
---|
1824 | self.graph._yaxis_transformed("%s" % yname, "%s" % yunits) |
---|
1825 | if(self.yLabel == "log10(y)"): |
---|
1826 | item.transformY(transform.toX_pos, transform.errToX_pos) |
---|
1827 | _yscale = 'log' |
---|
1828 | self.graph._yaxis_transformed("%s" % yname, "%s" % yunits) |
---|
1829 | if(self.yLabel == "y^(2)"): |
---|
1830 | item.transformY(transform.toX2, transform.errToX2) |
---|
1831 | yunits = convertUnit(2, yunits) |
---|
1832 | self.graph._yaxis_transformed("%s^{2}" % yname, "%s" % yunits) |
---|
1833 | if(self.yLabel == "1/y"): |
---|
1834 | item.transformY(transform.toOneOverX, transform.errOneOverX) |
---|
1835 | yunits = convertUnit(-1, yunits) |
---|
1836 | self.graph._yaxis_transformed("1/%s" % yname, "%s" % yunits) |
---|
1837 | if(self.yLabel == "y*x^(4)"): |
---|
1838 | item.transformY(transform.toYX4, transform.errToYX4) |
---|
1839 | xunits = convertUnit(4, self.xaxis_unit) |
---|
1840 | self.graph._yaxis_transformed("%s \ \ %s^{4}" % (yname,xname), |
---|
1841 | "%s%s" % (yunits,xunits)) |
---|
1842 | if(self.yLabel == "1/sqrt(y)"): |
---|
1843 | item.transformY(transform.toOneOverSqrtX, |
---|
1844 | transform.errOneOverSqrtX ) |
---|
1845 | yunits = convertUnit(-0.5, yunits) |
---|
1846 | self.graph._yaxis_transformed("1/\sqrt{%s}" %yname, "%s" % yunits) |
---|
1847 | if(self.yLabel == "ln(y*x)"): |
---|
1848 | item.transformY(transform.toLogXY, transform.errToLogXY) |
---|
1849 | self.graph._yaxis_transformed("\ln (%s \ \ %s)" % (yname,xname), |
---|
1850 | "%s%s" % (yunits, self.xaxis_unit)) |
---|
1851 | if(self.yLabel == "ln(y*x^(2))"): |
---|
1852 | item.transformY( transform.toLogYX2, transform.errToLogYX2) |
---|
1853 | xunits = convertUnit(2, self.xaxis_unit) |
---|
1854 | self.graph._yaxis_transformed("\ln (%s \ \ %s^{2})" % (yname,xname), |
---|
1855 | "%s%s" % (yunits,xunits)) |
---|
1856 | if(self.yLabel == "ln(y*x^(4))"): |
---|
1857 | item.transformY(transform.toLogYX4, transform.errToLogYX4) |
---|
1858 | xunits = convertUnit(4, self.xaxis_unit) |
---|
1859 | self.graph._yaxis_transformed("\ln (%s \ \ %s^{4})" % (yname,xname), |
---|
1860 | "%s%s" % (yunits,xunits)) |
---|
1861 | if(self.yLabel == "log10(y*x^(4))"): |
---|
1862 | item.transformY(transform.toYX4, transform.errToYX4) |
---|
1863 | xunits = convertUnit(4, self.xaxis_unit) |
---|
1864 | _yscale = 'log' |
---|
1865 | self.graph._yaxis_transformed("%s \ \ %s^{4}" % (yname,xname), |
---|
1866 | "%s%s" % (yunits,xunits)) |
---|
1867 | if(self.viewModel == "Guinier lny vs x^(2)"): |
---|
1868 | item.transformX(transform.toX2, transform.errToX2) |
---|
1869 | xunits = convertUnit(2, xunits) |
---|
1870 | self.graph._xaxis_transformed("%s^{2}" % xname, "%s" % xunits) |
---|
1871 | item.transformY(transform.toLogX,transform.errToLogX ) |
---|
1872 | self.graph._yaxis_transformed("\ln\ \ %s" % yname, "%s" % yunits) |
---|
1873 | if(self.viewModel == "Porod y*x^(4) vs x^(4)"): |
---|
1874 | item.transformX(transform.toX4, transform.errToX4) |
---|
1875 | xunits = convertUnit(4, self.xaxis_unit) |
---|
1876 | self.graph._xaxis_transformed("%s^{4}" % xname, "%s" % xunits) |
---|
1877 | item.transformY(transform.toYX4, transform.errToYX4) |
---|
1878 | self.graph._yaxis_transformed("%s \ \ %s^{4}" % (yname,xname), |
---|
1879 | "%s%s" % (yunits,xunits)) |
---|
1880 | item.transformView() |
---|
1881 | |
---|
1882 | # set new label and units |
---|
1883 | yname = self.graph.prop["ylabel"] |
---|
1884 | yunits = '' |
---|
1885 | xname = self.graph.prop["xlabel"] |
---|
1886 | xunits = '' |
---|
1887 | #self.yaxis_label = yname |
---|
1888 | #self.yaxis_unit = yunits |
---|
1889 | #self.xaxis_label = xname |
---|
1890 | #self.xaxis_unit = xunits |
---|
1891 | |
---|
1892 | self.resetFitView() |
---|
1893 | self.prevXtrans = self.xLabel |
---|
1894 | self.prevYtrans = self.yLabel |
---|
1895 | self.graph.render(self) |
---|
1896 | self.set_xscale(_xscale) |
---|
1897 | self.set_yscale(_yscale) |
---|
1898 | |
---|
1899 | self.xaxis(xname, xunits, self.xaxis_font, |
---|
1900 | self.xaxis_color, self.xaxis_tick) |
---|
1901 | self.yaxis(yname, yunits, self.yaxis_font, |
---|
1902 | self.yaxis_color, self.yaxis_tick) |
---|
1903 | self.subplot.texts = self.textList |
---|
1904 | self.subplot.figure.canvas.draw_idle() |
---|
1905 | |
---|
1906 | def onFitDisplay(self, tempx, tempy, xminView, |
---|
1907 | xmaxView, xmin, xmax, func): |
---|
1908 | """ |
---|
1909 | Add a new plottable into the graph .In this case this plottable |
---|
1910 | will be used to fit some data |
---|
1911 | |
---|
1912 | :param tempx: The x data of fit line |
---|
1913 | :param tempy: The y data of fit line |
---|
1914 | :param xminView: the lower bound of fitting range |
---|
1915 | :param xminView: the upper bound of fitting range |
---|
1916 | :param xmin: the lowest value of data to fit to the line |
---|
1917 | :param xmax: the highest value of data to fit to the line |
---|
1918 | |
---|
1919 | """ |
---|
1920 | # Saving value to redisplay in Fit Dialog when it is opened again |
---|
1921 | self.Avalue, self.Bvalue, self.ErrAvalue, \ |
---|
1922 | self.ErrBvalue, self.Chivalue = func |
---|
1923 | self.xminView = xminView |
---|
1924 | self.xmaxView = xmaxView |
---|
1925 | self.xmin = xmin |
---|
1926 | self.xmax = xmax |
---|
1927 | #In case need to change the range of data plotted |
---|
1928 | list = [] |
---|
1929 | list = self.graph.returnPlottable() |
---|
1930 | for item in list: |
---|
1931 | #item.onFitRange(xminView,xmaxView) |
---|
1932 | item.onFitRange(None, None) |
---|
1933 | # Create new data plottable with result |
---|
1934 | self.fit_result.x = [] |
---|
1935 | self.fit_result.y = [] |
---|
1936 | self.fit_result.x = tempx |
---|
1937 | self.fit_result.y = tempy |
---|
1938 | self.fit_result.dx = None |
---|
1939 | self.fit_result.dy = None |
---|
1940 | #Load the view with the new values |
---|
1941 | self.fit_result.reset_view() |
---|
1942 | # Add the new plottable to the graph |
---|
1943 | self.graph.add(self.fit_result) |
---|
1944 | self.graph.render(self) |
---|
1945 | self._offset_graph() |
---|
1946 | self.subplot.figure.canvas.draw_idle() |
---|
1947 | |
---|
1948 | def onChangeCaption(self, event): |
---|
1949 | """ |
---|
1950 | """ |
---|
1951 | if self.parent == None: |
---|
1952 | return |
---|
1953 | # get current caption |
---|
1954 | old_caption = self.window_caption |
---|
1955 | # Get new caption dialog |
---|
1956 | dial = LabelDialog(None, -1, 'Modify Window Title', old_caption) |
---|
1957 | if dial.ShowModal() == wx.ID_OK: |
---|
1958 | new_caption = dial.getText() |
---|
1959 | |
---|
1960 | # send to guiframe to change the panel caption |
---|
1961 | caption = self.parent.on_change_caption(self.window_name, |
---|
1962 | old_caption, new_caption) |
---|
1963 | |
---|
1964 | # also set new caption in plot_panels list |
---|
1965 | self.parent.plot_panels[self.uid].window_caption = caption |
---|
1966 | # set new caption |
---|
1967 | self.window_caption = caption |
---|
1968 | |
---|
1969 | dial.Destroy() |
---|
1970 | |
---|
1971 | def onResetGraph(self, event): |
---|
1972 | """ |
---|
1973 | Reset the graph by plotting the full range of data |
---|
1974 | """ |
---|
1975 | list = [] |
---|
1976 | list = self.graph.returnPlottable() |
---|
1977 | for item in list: |
---|
1978 | item.onReset() |
---|
1979 | self.graph.render(self) |
---|
1980 | self._onEVT_FUNC_PROPERTY(False) |
---|
1981 | if self.is_zoomed: |
---|
1982 | self.is_zoomed = False |
---|
1983 | self.toolbar.update() |
---|
1984 | |
---|
1985 | def onPrinterSetup(self, event=None): |
---|
1986 | """ |
---|
1987 | """ |
---|
1988 | self.canvas.Printer_Setup(event=event) |
---|
1989 | self.Update() |
---|
1990 | |
---|
1991 | def onPrinterPreview(self, event=None): |
---|
1992 | """ |
---|
1993 | """ |
---|
1994 | try: |
---|
1995 | self.canvas.Printer_Preview(event=event) |
---|
1996 | self.Update() |
---|
1997 | except: |
---|
1998 | pass |
---|
1999 | |
---|
2000 | def onPrint(self, event=None): |
---|
2001 | """ |
---|
2002 | """ |
---|
2003 | try: |
---|
2004 | self.canvas.Printer_Print(event=event) |
---|
2005 | self.Update() |
---|
2006 | except: |
---|
2007 | pass |
---|
2008 | |
---|
2009 | def OnCopyFigureMenu(self, evt): |
---|
2010 | """ |
---|
2011 | Copy the current figure to clipboard |
---|
2012 | """ |
---|
2013 | try: |
---|
2014 | CopyImage(self.canvas) |
---|
2015 | except: |
---|
2016 | print "Error in copy Image" |
---|
2017 | |
---|
2018 | |
---|
2019 | |
---|
2020 | #--------------------------------------------------------------- |
---|
2021 | class NoRepaintCanvas(FigureCanvasWxAgg): |
---|
2022 | """ |
---|
2023 | We subclass FigureCanvasWxAgg, overriding the _onPaint method, so that |
---|
2024 | the draw method is only called for the first two paint events. After that, |
---|
2025 | the canvas will only be redrawn when it is resized. |
---|
2026 | |
---|
2027 | """ |
---|
2028 | def __init__(self, *args, **kwargs): |
---|
2029 | """ |
---|
2030 | """ |
---|
2031 | FigureCanvasWxAgg.__init__(self, *args, **kwargs) |
---|
2032 | self._drawn = 0 |
---|
2033 | |
---|
2034 | def _onPaint(self, evt): |
---|
2035 | """ |
---|
2036 | Called when wxPaintEvt is generated |
---|
2037 | |
---|
2038 | """ |
---|
2039 | if not self._isRealized: |
---|
2040 | self.realize() |
---|
2041 | if self._drawn < 2: |
---|
2042 | self.draw(repaint = False) |
---|
2043 | self._drawn += 1 |
---|
2044 | self.gui_repaint(drawDC=wx.PaintDC(self)) |
---|
2045 | |
---|
2046 | |
---|