1 | """ |
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2 | ASAP plotting class based on matplotlib. |
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3 | """ |
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4 | |
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5 | import sys |
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6 | from re import match |
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7 | import Tkinter as Tk |
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8 | |
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9 | print "Importing matplotlib with TkAgg backend." |
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10 | import matplotlib |
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11 | matplotlib.use("TkAgg") |
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12 | |
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13 | from matplotlib.backends import new_figure_manager, show |
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14 | from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg, \ |
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15 | FigureManagerTkAgg |
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16 | from matplotlib.figure import Figure, Text |
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17 | from matplotlib.numerix import sqrt |
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18 | |
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19 | # Force use of the newfangled toolbar. |
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20 | matplotlib.rcParams['toolbar'] = 'toolbar2' |
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21 | |
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22 | # Colour dictionary. |
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23 | colours = {} |
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24 | |
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25 | class ASAPlot: |
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26 | """ |
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27 | ASAP plotting class based on matplotlib. |
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28 | """ |
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29 | |
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30 | def __init__(self, rows=1, cols=0, title='', size=(8,6), buffering=False): |
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31 | """ |
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32 | Create a new instance of the ASAPlot plotting class. |
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33 | |
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34 | If rows < 1 then a separate call to set_panels() is required to define |
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35 | the panel layout; refer to the doctext for set_panels(). |
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36 | """ |
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37 | self.window = Tk.Tk() |
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38 | |
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39 | self.frame1 = Tk.Frame(self.window, relief=Tk.RIDGE, borderwidth=4) |
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40 | self.frame1.pack(fill=Tk.BOTH) |
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41 | |
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42 | self.figure = Figure(figsize=size, facecolor='#ddddee') |
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43 | self.canvas = FigureCanvasTkAgg(self.figure, master=self.frame1) |
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44 | self.canvas.get_tk_widget().pack(side=Tk.TOP, fill=Tk.BOTH, expand=1) |
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45 | |
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46 | # Simply instantiating this is enough to get a working toolbar. |
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47 | self.figmgr = FigureManagerTkAgg(self.canvas, 1, self.window) |
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48 | self.window.wm_title('ASAPlot graphics window') |
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49 | |
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50 | self.events = {'button_press':None, |
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51 | 'button_release':None, |
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52 | 'motion_notify':None} |
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53 | |
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54 | self.set_title(title) |
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55 | self.subplots = [] |
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56 | if rows > 0: |
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57 | self.set_panels(rows, cols) |
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58 | |
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59 | |
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60 | # Set matplotlib default colour sequence. |
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61 | self.colours = [1, 'b', 'g', 'r', 'c', 'm', 'y', 'k', 'w'] |
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62 | self.attributes = {} |
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63 | self.loc = 1 |
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64 | |
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65 | matplotlib.interactive = True |
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66 | self.buffering = buffering |
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67 | |
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68 | self.canvas.show() |
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69 | |
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70 | |
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71 | def clear(self): |
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72 | """ |
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73 | Delete all lines from the plot. Line numbering will restart from 1. |
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74 | """ |
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75 | |
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76 | for i in range(1,len(self.lines)+1): |
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77 | self.delete(i) |
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78 | |
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79 | self.axes.clear() |
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80 | self.colours[0] = 1 |
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81 | self.lines = [] |
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82 | |
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83 | |
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84 | def delete(self, numbers=None): |
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85 | """ |
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86 | Delete the 0-relative line number, default is to delete the last. |
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87 | The remaining lines are NOT renumbered. |
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88 | """ |
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89 | |
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90 | if numbers is None: numbers = [len(self.lines)-1] |
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91 | |
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92 | if not hasattr(numbers, '__iter__'): |
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93 | numbers = [numbers] |
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94 | |
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95 | for number in numbers: |
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96 | if 0 <= number < len(self.lines): |
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97 | if self.lines[number] is not None: |
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98 | for line in self.lines[number]: |
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99 | line.set_linestyle('None') |
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100 | self.lines[number] = None |
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101 | |
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102 | self.show() |
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103 | |
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104 | |
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105 | def get_line(self): |
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106 | """ |
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107 | Get the current default line attributes. |
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108 | """ |
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109 | return self.attributes |
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110 | |
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111 | |
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112 | def hist(self, x=None, y=None, fmt=None): |
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113 | """ |
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114 | Plot a histogram. N.B. the x values refer to the start of the |
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115 | histogram bin. |
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116 | |
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117 | fmt is the line style as in plot(). |
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118 | """ |
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119 | |
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120 | if x is None: |
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121 | if y is None: return |
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122 | x = range(0,len(y)) |
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123 | |
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124 | if len(x) != len(y): |
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125 | return |
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126 | |
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127 | l2 = 2*len(x) |
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128 | x2 = range(0,l2) |
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129 | y2 = range(0,l2) |
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130 | |
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131 | for i in range(0,l2): |
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132 | x2[i] = x[i/2] |
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133 | |
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134 | y2[0] = 0 |
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135 | for i in range(1,l2): |
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136 | y2[i] = y[(i-1)/2] |
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137 | |
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138 | self.plot(x2, y2, fmt) |
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139 | |
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140 | |
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141 | def hold(self, hold=True): |
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142 | """ |
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143 | Buffer graphics until subsequently released. |
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144 | """ |
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145 | self.buffering = hold |
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146 | |
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147 | |
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148 | def legend(self, loc=1): |
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149 | """ |
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150 | Add a legend to the plot. |
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151 | |
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152 | Any other value for loc else disables the legend: |
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153 | 1: upper right |
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154 | 2: upper left |
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155 | 3: lower left |
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156 | 4: lower right |
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157 | 5: right |
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158 | 6: center left |
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159 | 7: center right |
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160 | 8: lower center |
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161 | 9: upper center |
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162 | 10: center |
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163 | |
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164 | """ |
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165 | if 1 > loc > 10: loc = 0 |
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166 | self.loc = loc |
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167 | self.show() |
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168 | |
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169 | |
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170 | def map(self): |
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171 | """ |
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172 | Reveal the ASAPlot graphics window and bring it to the top of the |
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173 | window stack. |
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174 | """ |
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175 | self.window.wm_deiconify() |
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176 | self.window.lift() |
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177 | |
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178 | |
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179 | def palette(self, pen=None, colours=None): |
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180 | """ |
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181 | Redefine the colour sequence. |
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182 | |
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183 | pen is the pen number to use for the next plot; this will be auto- |
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184 | incremented. |
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185 | |
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186 | colours is the list of pen colours. Colour may be specified via |
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187 | the single letter values understood by matplotlib: |
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188 | |
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189 | b: blue |
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190 | g: green |
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191 | r: red |
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192 | c: cyan |
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193 | m: magenta |
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194 | y: yellow |
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195 | k: black |
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196 | w: white |
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197 | |
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198 | or via the full name as listed in the colour dictionary which is |
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199 | loaded by default by load_colours() from rgb.txt and listed by |
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200 | list_colours(). |
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201 | """ |
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202 | |
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203 | if pen is None and colours is None: |
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204 | self.colours = [] |
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205 | return |
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206 | |
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207 | if pen is None: |
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208 | if not len(self.colours): |
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209 | self.colours = [1] |
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210 | else: |
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211 | self.colours[0] = pen |
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212 | |
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213 | if colours is None: |
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214 | return |
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215 | |
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216 | cols = [] |
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217 | for col in colours: |
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218 | cols.append(get_colour(col)) |
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219 | |
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220 | self.colours[1:] = cols |
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221 | |
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222 | if 0 > self.colours[0] > len(self.colours): |
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223 | self.colours[0] = 1 |
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224 | |
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225 | |
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226 | def plot(self, x=None, y=None, mask=None, fmt=None, add=None): |
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227 | """ |
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228 | Plot the next line in the current frame using the current line |
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229 | attributes. The ASAPlot graphics window will be mapped and raised. |
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230 | |
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231 | The argument list works a bit like the matlab plot() function. |
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232 | """ |
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233 | |
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234 | if x is None: |
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235 | if y is None: return |
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236 | x = range(len(y)) |
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237 | |
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238 | elif y is None: |
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239 | y = x |
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240 | x = range(len(y)) |
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241 | |
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242 | if mask is None: |
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243 | if fmt is None: |
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244 | line = self.axes.plot(x, y) |
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245 | else: |
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246 | line = self.axes.plot(x, y, fmt) |
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247 | else: |
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248 | segments = [] |
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249 | |
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250 | mask = list(mask) |
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251 | i = 0 |
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252 | while mask[i:].count(1): |
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253 | i += mask[i:].index(1) |
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254 | if mask[i:].count(0): |
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255 | j = i + mask[i:].index(0) |
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256 | else: |
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257 | j = len(mask) |
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258 | |
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259 | segments.append(x[i:j]) |
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260 | segments.append(y[i:j]) |
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261 | |
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262 | i = j |
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263 | |
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264 | line = self.axes.plot(*segments) |
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265 | |
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266 | # Add to an existing line? |
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267 | if add is None or len(self.lines) < add < 0: |
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268 | # Don't add. |
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269 | self.lines.append(line) |
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270 | i = len(self.lines) - 1 |
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271 | else: |
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272 | if add == 0: add = len(self.lines) |
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273 | i = add - 1 |
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274 | self.lines[i].extend(line) |
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275 | |
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276 | # Set/reset attributes for the line. |
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277 | gotcolour = False |
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278 | for k, v in self.attributes.iteritems(): |
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279 | if k == 'color': gotcolour = True |
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280 | for segment in self.lines[i]: |
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281 | getattr(segment, "set_%s"%k)(v) |
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282 | |
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283 | if not gotcolour and len(self.colours): |
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284 | for segment in self.lines[i]: |
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285 | getattr(segment, "set_color")(self.colours[self.colours[0]]) |
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286 | |
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287 | self.colours[0] += 1 |
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288 | if self.colours[0] >= len(self.colours): |
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289 | self.colours[0] = 1 |
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290 | |
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291 | self.show() |
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292 | |
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293 | |
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294 | def quit(self): |
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295 | """ |
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296 | Destroy the ASAPlot graphics window. |
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297 | """ |
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298 | self.window.destroy() |
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299 | |
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300 | |
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301 | def register(self, type=None, func=None): |
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302 | """ |
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303 | Register, reregister, or deregister events of type 'button_press', |
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304 | 'button_release', or 'motion_notify'. |
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305 | |
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306 | The specified callback function should have the following signature: |
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307 | |
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308 | def func(event) |
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309 | |
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310 | where event is an MplEvent instance containing the following data: |
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311 | |
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312 | name # Event name. |
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313 | canvas # FigureCanvas instance generating the event. |
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314 | x = None # x position - pixels from left of canvas. |
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315 | y = None # y position - pixels from bottom of canvas. |
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316 | button = None # Button pressed: None, 1, 2, 3. |
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317 | key = None # Key pressed: None, chr(range(255)), shift, |
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318 | win, or control |
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319 | inaxes = None # Axes instance if cursor within axes. |
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320 | xdata = None # x world coordinate. |
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321 | ydata = None # y world coordinate. |
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322 | |
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323 | For example: |
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324 | |
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325 | def mouse_move(event): |
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326 | print event.xdata, event.ydata |
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327 | |
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328 | a = asaplot() |
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329 | a.register('motion_notify', mouse_move) |
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330 | |
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331 | If func is None, the event is deregistered. |
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332 | |
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333 | Note that in TkAgg keyboard button presses don't generate an event. |
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334 | """ |
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335 | |
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336 | if not self.events.has_key(type): return |
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337 | |
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338 | if func is None: |
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339 | if self.events[type] is not None: |
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340 | # It's not clear that this does anything. |
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341 | self.canvas.mpl_disconnect(self.events[type]) |
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342 | self.events[type] = None |
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343 | |
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344 | # It seems to be necessary to return events to the toolbar. |
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345 | if type == 'motion_notify': |
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346 | self.canvas.mpl_connect(type + '_event', |
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347 | self.figmgr.toolbar.mouse_move) |
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348 | elif type == 'button_press': |
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349 | self.canvas.mpl_connect(type + '_event', |
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350 | self.figmgr.toolbar.press) |
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351 | elif type == 'button_release': |
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352 | self.canvas.mpl_connect(type + '_event', |
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353 | self.figmgr.toolbar.release) |
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354 | |
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355 | else: |
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356 | self.events[type] = self.canvas.mpl_connect(type + '_event', func) |
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357 | |
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358 | |
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359 | def release(self): |
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360 | """ |
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361 | Release buffered graphics. |
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362 | """ |
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363 | self.buffering = False |
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364 | self.show() |
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365 | |
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366 | |
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367 | def set_axes(self, what=None, *args, **kwargs): |
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368 | """ |
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369 | Set attributes for the axes by calling the relevant Axes.set_*() |
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370 | method. Colour translation is done as described in the doctext |
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371 | for palette(). |
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372 | """ |
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373 | |
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374 | if what is None: return |
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375 | if what[-6:] == 'colour': what = what[:-6] + 'color' |
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376 | |
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377 | newargs = {} |
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378 | for k, v in kwargs.iteritems(): |
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379 | k = k.lower() |
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380 | if k == 'colour': k = 'color' |
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381 | |
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382 | if k == 'color': |
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383 | v = get_colour(v) |
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384 | |
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385 | newargs[k] = v |
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386 | |
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387 | getattr(self.axes, "set_%s"%what)(*args, **newargs) |
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388 | self.show() |
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389 | |
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390 | |
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391 | def set_figure(self, what=None, *args, **kwargs): |
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392 | """ |
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393 | Set attributes for the figure by calling the relevant Figure.set_*() |
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394 | method. Colour translation is done as described in the doctext |
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395 | for palette(). |
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396 | """ |
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397 | |
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398 | if what is None: return |
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399 | if what[-6:] == 'colour': what = what[:-6] + 'color' |
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400 | if what[-5:] == 'color' and len(args): |
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401 | args = (get_colour(args[0]),) |
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402 | |
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403 | newargs = {} |
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404 | for k, v in kwargs.iteritems(): |
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405 | k = k.lower() |
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406 | if k == 'colour': k = 'color' |
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407 | |
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408 | if k == 'color': |
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409 | v = get_colour(v) |
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410 | |
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411 | newargs[k] = v |
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412 | |
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413 | getattr(self.figure, "set_%s"%what)(*args, **newargs) |
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414 | self.show() |
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415 | |
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416 | |
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417 | def set_line(self, number=None, **kwargs): |
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418 | """ |
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419 | Set attributes for the specified line, or else the next line(s) |
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420 | to be plotted. |
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421 | |
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422 | number is the 0-relative number of a line that has already been |
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423 | plotted. If no such line exists, attributes are recorded and used |
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424 | for the next line(s) to be plotted. |
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425 | |
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426 | Keyword arguments specify Line2D attributes, e.g. color='r'. Do |
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427 | |
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428 | import matplotlib |
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429 | help(matplotlib.lines) |
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430 | |
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431 | The set_* methods of class Line2D define the attribute names and |
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432 | values. For non-US usage, "colour" is recognized as synonymous with |
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433 | "color". |
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434 | |
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435 | Set the value to None to delete an attribute. |
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436 | |
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437 | Colour translation is done as described in the doctext for palette(). |
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438 | """ |
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439 | |
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440 | redraw = False |
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441 | for k, v in kwargs.iteritems(): |
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442 | k = k.lower() |
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443 | if k == 'colour': k = 'color' |
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444 | |
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445 | if k == 'color': |
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446 | v = get_colour(v) |
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447 | |
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448 | if 0 <= number < len(self.lines): |
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449 | if self.lines[number] is not None: |
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450 | for line in self.lines[number]: |
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451 | getattr(line, "set_%s"%k)(v) |
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452 | redraw = True |
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453 | else: |
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454 | if v is None: |
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455 | del self.attributes[k] |
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456 | else: |
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457 | self.attributes[k] = v |
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458 | |
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459 | if redraw: self.show() |
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460 | |
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461 | |
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462 | def set_panels(self, rows=1, cols=0, n=-1): |
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463 | """ |
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464 | Set the panel layout. |
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465 | |
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466 | rows and cols, if cols != 0, specify the number of rows and columns in |
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467 | a regular layout. (Indexing of these panels in matplotlib is row- |
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468 | major, i.e. column varies fastest.) |
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469 | |
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470 | cols == 0 is interpreted as a retangular layout that accomodates |
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471 | 'rows' panels, e.g. rows == 6, cols == 0 is equivalent to |
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472 | rows == 2, cols == 3. |
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473 | |
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474 | 0 <= n < rows*cols is interpreted as the 0-relative panel number in |
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475 | the configuration specified by rows and cols to be added to the |
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476 | current figure as its next 0-relative panel number (i). This allows |
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477 | non-regular panel layouts to be constructed via multiple calls. Any |
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478 | other value of n clears the plot and produces a rectangular array of |
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479 | empty panels. |
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480 | """ |
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481 | if n < 0 and len(self.subplots): |
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482 | self.figure.clear() |
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483 | self.set_title() |
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484 | |
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485 | if rows < 1: |
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486 | rows = 1 |
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487 | |
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488 | if cols == 0: |
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489 | i = int(sqrt(rows)) |
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490 | if i*i < rows: i += 1 |
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491 | cols = i |
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492 | |
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493 | if i*(i-1) >= rows: i -= 1 |
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494 | rows = i |
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495 | |
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496 | if 0 <= n < rows*cols: |
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497 | i = len(self.subplots) |
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498 | self.subplots.append({}) |
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499 | self.subplots[i]['axes'] = self.figure.add_subplot(rows, |
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500 | cols, n+1) |
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501 | self.subplots[i]['lines'] = [] |
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502 | |
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503 | if i == 0: self.subplot(0) |
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504 | |
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505 | else: |
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506 | self.subplots = [] |
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507 | for i in range(0,rows*cols): |
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508 | self.subplots.append({}) |
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509 | self.subplots[i]['axes'] = self.figure.add_subplot(rows, |
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510 | cols, i+1) |
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511 | self.subplots[i]['lines'] = [] |
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512 | |
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513 | self.subplot(0) |
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514 | |
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515 | |
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516 | def set_title(self, title=None): |
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517 | """ |
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518 | Set the title of the plot window. Use the previous title if title is |
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519 | omitted. |
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520 | """ |
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521 | if title is not None: |
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522 | self.title = title |
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523 | |
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524 | self.figure.text(0.5, 0.95, self.title, horizontalalignment='center') |
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525 | |
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526 | |
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527 | def show(self): |
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528 | """ |
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529 | Show graphics dependent on the current buffering state. |
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530 | """ |
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531 | if not self.buffering: |
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532 | if self.loc: |
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533 | lines = [] |
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534 | labels = [] |
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535 | i = 0 |
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536 | for line in self.lines: |
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537 | i += 1 |
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538 | if line is not None: |
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539 | lines.append(line[0]) |
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540 | lbl = line[0].get_label() |
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541 | if lbl == '': |
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542 | lbl = str(i) |
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543 | labels.append(lbl) |
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544 | |
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545 | if len(lines): |
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546 | self.axes.legend(tuple(lines), tuple(labels), self.loc) |
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547 | else: |
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548 | self.axes.legend((' ')) |
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549 | |
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550 | self.window.wm_deiconify() |
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551 | self.canvas.show() |
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552 | |
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553 | |
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554 | def subplot(self, i=None, inc=None): |
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555 | """ |
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556 | Set the subplot to the 0-relative panel number as defined by one or |
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557 | more invokations of set_panels(). |
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558 | """ |
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559 | l = len(self.subplots) |
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560 | if l: |
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561 | if i is not None: |
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562 | self.i = i |
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563 | |
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564 | if inc is not None: |
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565 | self.i += inc |
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566 | |
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567 | self.i %= l |
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568 | self.axes = self.subplots[self.i]['axes'] |
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569 | self.lines = self.subplots[self.i]['lines'] |
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570 | |
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571 | |
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572 | def terminate(self): |
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573 | """ |
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574 | Clear the figure. |
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575 | """ |
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576 | self.window.destroy() |
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577 | |
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578 | |
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579 | def text(self, *args, **kwargs): |
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580 | """ |
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581 | Add text to the figure. |
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582 | """ |
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583 | self.figure.text(*args, **kwargs) |
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584 | self.show() |
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585 | |
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586 | |
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587 | def unmap(self): |
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588 | """ |
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589 | Hide the ASAPlot graphics window. |
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590 | """ |
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591 | self.window.wm_withdraw() |
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592 | |
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593 | |
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594 | def get_colour(colour='black'): |
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595 | """ |
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596 | Look up a colour by name in the colour dictionary. Matches are |
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597 | case-insensitive, insensitive to blanks, and 'gray' matches 'grey'. |
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598 | """ |
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599 | |
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600 | if colour is None: return None |
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601 | |
---|
602 | if match('[rgbcmykw]$', colour): return colour |
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603 | if match('#[\da-fA-F]{6}$', colour): return colour |
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604 | |
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605 | if len(colours) == 0: load_colours() |
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606 | |
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607 | # Try a quick match. |
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608 | if colours.has_key(colour): return colours[colour] |
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609 | |
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610 | colour = colour.replace(' ','').lower() |
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611 | colour = colour.replace('gray','grey') |
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612 | for name in colours.keys(): |
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613 | if name.lower() == colour: |
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614 | return colours[name] |
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615 | |
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616 | return '#000000' |
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617 | |
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618 | |
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619 | def list_colours(): |
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620 | """ |
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621 | List the contents of the colour dictionary sorted by name. |
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622 | """ |
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623 | |
---|
624 | if len(colours) == 0: load_colours() |
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625 | |
---|
626 | names = colours.keys() |
---|
627 | names.sort() |
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628 | for name in names: |
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629 | print colours[name], name |
---|
630 | |
---|
631 | |
---|
632 | def load_colours(file='/usr/local/lib/rgb.txt'): |
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633 | """ |
---|
634 | Load the colour dictionary from the specified file. |
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635 | """ |
---|
636 | print 'Loading colour dictionary from', file |
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637 | rgb = open(file, 'r') |
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638 | |
---|
639 | while True: |
---|
640 | line = rgb.readline() |
---|
641 | if line == '': break |
---|
642 | tmp = line.split() |
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643 | |
---|
644 | if len(tmp) == 4: |
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645 | if tmp[3][:4] == 'gray': continue |
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646 | if tmp[3].lower().find('gray') != -1: continue |
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647 | |
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648 | name = tmp[3][0].upper() + tmp[3][1:] |
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649 | r, g, b = int(tmp[0]), int(tmp[1]), int(tmp[2]) |
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650 | colours[name] = '#%2.2x%2.2x%2.2x' % (r, g, b) |
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