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 | import matplotlib |
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10 | matplotlib.use("TkAgg") |
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11 | |
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12 | from matplotlib.backends import new_figure_manager, show |
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13 | from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg, \ |
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14 | FigureManagerTkAgg |
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15 | from matplotlib.figure import Figure, Text |
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16 | from matplotlib.font_manager import FontProperties |
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17 | from matplotlib.numerix import sqrt |
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18 | from matplotlib import rc, rcParams |
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19 | |
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20 | # Force use of the newfangled toolbar. |
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21 | matplotlib.rcParams['toolbar'] = 'toolbar2' |
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22 | |
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23 | # Colour dictionary. |
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24 | colours = {} |
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25 | |
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26 | class ASAPlot: |
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27 | """ |
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28 | ASAP plotting class based on matplotlib. |
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29 | """ |
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30 | |
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31 | def __init__(self, rows=1, cols=0, title='', size=(8,6), buffering=False): |
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32 | """ |
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33 | Create a new instance of the ASAPlot plotting class. |
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34 | |
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35 | If rows < 1 then a separate call to set_panels() is required to define |
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36 | the panel layout; refer to the doctext for set_panels(). |
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37 | """ |
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38 | self.window = Tk.Tk() |
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39 | self.is_dead = False |
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40 | def dest_callback(): |
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41 | self.is_dead = True |
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42 | self.window.destroy() |
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43 | |
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44 | self.window.protocol("WM_DELETE_WINDOW", dest_callback) |
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45 | |
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46 | self.figure = Figure(figsize=size, facecolor='#ddddee') |
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47 | self.canvas = FigureCanvasTkAgg(self.figure, master=self.window) |
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48 | self.canvas.get_tk_widget().pack(side=Tk.TOP, fill=Tk.BOTH, expand=1) |
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49 | |
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50 | # Simply instantiating this is enough to get a working toolbar. |
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51 | self.figmgr = FigureManagerTkAgg(self.canvas, 1, self.window) |
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52 | self.window.wm_title('ASAPlot graphics window') |
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53 | |
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54 | self.events = {'button_press':None, |
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55 | 'button_release':None, |
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56 | 'motion_notify':None} |
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57 | |
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58 | self.set_title(title) |
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59 | self.subplots = [] |
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60 | if rows > 0: |
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61 | self.set_panels(rows, cols) |
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62 | |
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63 | |
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64 | # Set matplotlib default colour sequence. |
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65 | self.colours = [1, 'b', 'g', 'r', 'c', 'm', 'y', 'k'] |
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66 | self.attributes = {} |
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67 | self.loc = 1 |
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68 | |
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69 | matplotlib.interactive = True |
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70 | self.buffering = buffering |
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71 | |
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72 | self.canvas.show() |
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73 | |
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74 | |
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75 | def clear(self): |
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76 | """ |
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77 | Delete all lines from the plot. Line numbering will restart from 1. |
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78 | """ |
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79 | |
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80 | for i in range(1,len(self.lines)+1): |
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81 | self.delete(i) |
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82 | |
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83 | self.axes.clear() |
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84 | self.colours[0] = 1 |
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85 | self.lines = [] |
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86 | |
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87 | |
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88 | def delete(self, numbers=None): |
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89 | """ |
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90 | Delete the 0-relative line number, default is to delete the last. |
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91 | The remaining lines are NOT renumbered. |
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92 | """ |
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93 | |
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94 | if numbers is None: numbers = [len(self.lines)-1] |
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95 | |
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96 | if not hasattr(numbers, '__iter__'): |
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97 | numbers = [numbers] |
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98 | |
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99 | for number in numbers: |
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100 | if 0 <= number < len(self.lines): |
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101 | if self.lines[number] is not None: |
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102 | for line in self.lines[number]: |
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103 | line.set_linestyle('None') |
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104 | self.lines[number] = None |
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105 | |
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106 | self.show() |
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107 | |
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108 | |
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109 | def get_line(self): |
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110 | """ |
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111 | Get the current default line attributes. |
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112 | """ |
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113 | return self.attributes |
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114 | |
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115 | |
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116 | def hist(self, x=None, y=None, fmt=None): |
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117 | """ |
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118 | Plot a histogram. N.B. the x values refer to the start of the |
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119 | histogram bin. |
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120 | |
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121 | fmt is the line style as in plot(). |
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122 | """ |
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123 | |
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124 | if x is None: |
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125 | if y is None: return |
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126 | x = range(0,len(y)) |
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127 | |
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128 | if len(x) != len(y): |
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129 | return |
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130 | |
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131 | l2 = 2*len(x) |
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132 | x2 = range(0,l2) |
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133 | y2 = range(0,l2) |
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134 | |
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135 | for i in range(0,l2): |
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136 | x2[i] = x[i/2] |
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137 | |
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138 | y2[0] = 0 |
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139 | for i in range(1,l2): |
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140 | y2[i] = y[(i-1)/2] |
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141 | |
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142 | self.plot(x2, y2, fmt) |
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143 | |
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144 | |
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145 | def hold(self, hold=True): |
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146 | """ |
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147 | Buffer graphics until subsequently released. |
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148 | """ |
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149 | self.buffering = hold |
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150 | |
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151 | |
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152 | def legend(self, loc=1): |
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153 | """ |
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154 | Add a legend to the plot. |
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155 | |
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156 | Any other value for loc else disables the legend: |
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157 | 1: upper right |
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158 | 2: upper left |
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159 | 3: lower left |
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160 | 4: lower right |
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161 | 5: right |
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162 | 6: center left |
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163 | 7: center right |
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164 | 8: lower center |
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165 | 9: upper center |
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166 | 10: center |
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167 | |
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168 | """ |
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169 | if 1 > loc > 10: loc = 0 |
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170 | self.loc = loc |
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171 | self.show() |
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172 | |
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173 | |
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174 | def map(self): |
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175 | """ |
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176 | Reveal the ASAPlot graphics window and bring it to the top of the |
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177 | window stack. |
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178 | """ |
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179 | self.window.wm_deiconify() |
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180 | self.window.lift() |
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181 | |
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182 | |
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183 | def palette(self, pen=None, colours=None): |
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184 | """ |
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185 | Redefine the colour sequence. |
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186 | |
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187 | pen is the pen number to use for the next plot; this will be auto- |
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188 | incremented. |
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189 | |
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190 | colours is the list of pen colours. Colour may be specified via |
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191 | the single letter values understood by matplotlib: |
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192 | |
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193 | b: blue |
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194 | g: green |
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195 | r: red |
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196 | c: cyan |
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197 | m: magenta |
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198 | y: yellow |
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199 | k: black |
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200 | w: white |
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201 | |
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202 | or via the full name as listed in the colour dictionary which is |
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203 | loaded by default by load_colours() from rgb.txt and listed by |
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204 | list_colours(). |
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205 | """ |
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206 | |
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207 | if pen is None and colours is None: |
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208 | self.colours = [] |
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209 | return |
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210 | |
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211 | if pen is None: |
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212 | if not len(self.colours): |
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213 | self.colours = [1] |
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214 | else: |
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215 | self.colours[0] = pen |
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216 | |
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217 | if colours is None: |
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218 | return |
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219 | |
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220 | cols = [] |
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221 | for col in colours: |
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222 | cols.append(get_colour(col)) |
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223 | |
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224 | self.colours[1:] = cols |
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225 | |
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226 | if 0 > self.colours[0] > len(self.colours): |
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227 | self.colours[0] = 1 |
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228 | |
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229 | |
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230 | def plot(self, x=None, y=None, mask=None, fmt=None, add=None): |
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231 | """ |
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232 | Plot the next line in the current frame using the current line |
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233 | attributes. The ASAPlot graphics window will be mapped and raised. |
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234 | |
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235 | The argument list works a bit like the matlab plot() function. |
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236 | """ |
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237 | |
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238 | if x is None: |
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239 | if y is None: return |
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240 | x = range(len(y)) |
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241 | |
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242 | elif y is None: |
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243 | y = x |
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244 | x = range(len(y)) |
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245 | |
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246 | if mask is None: |
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247 | if fmt is None: |
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248 | line = self.axes.plot(x, y) |
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249 | else: |
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250 | line = self.axes.plot(x, y, fmt) |
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251 | else: |
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252 | segments = [] |
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253 | |
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254 | mask = list(mask) |
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255 | i = 0 |
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256 | while mask[i:].count(1): |
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257 | i += mask[i:].index(1) |
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258 | if mask[i:].count(0): |
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259 | j = i + mask[i:].index(0) |
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260 | else: |
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261 | j = len(mask) |
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262 | |
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263 | segments.append(x[i:j]) |
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264 | segments.append(y[i:j]) |
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265 | |
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266 | i = j |
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267 | |
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268 | line = self.axes.plot(*segments) |
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269 | |
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270 | # Add to an existing line? |
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271 | if add is None or len(self.lines) < add < 0: |
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272 | # Don't add. |
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273 | self.lines.append(line) |
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274 | i = len(self.lines) - 1 |
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275 | else: |
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276 | if add == 0: add = len(self.lines) |
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277 | i = add - 1 |
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278 | self.lines[i].extend(line) |
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279 | |
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280 | # Set/reset attributes for the line. |
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281 | gotcolour = False |
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282 | for k, v in self.attributes.iteritems(): |
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283 | if k == 'color': gotcolour = True |
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284 | for segment in self.lines[i]: |
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285 | getattr(segment, "set_%s"%k)(v) |
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286 | |
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287 | if not gotcolour and len(self.colours): |
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288 | for segment in self.lines[i]: |
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289 | getattr(segment, "set_color")(self.colours[self.colours[0]]) |
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290 | |
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291 | self.colours[0] += 1 |
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292 | if self.colours[0] >= len(self.colours): |
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293 | self.colours[0] = 1 |
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294 | |
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295 | self.show() |
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296 | |
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297 | |
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298 | def position(self): |
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299 | """ |
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300 | Use the mouse to get a position from a graph. |
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301 | """ |
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302 | |
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303 | def position_disable(event): |
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304 | self.register('button_press', None) |
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305 | print '%.4f, %.4f' % (event.xdata, event.ydata) |
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306 | |
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307 | print 'Press any mouse button...' |
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308 | self.register('button_press', position_disable) |
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309 | |
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310 | |
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311 | def quit(self): |
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312 | """ |
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313 | Destroy the ASAPlot graphics window. |
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314 | """ |
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315 | self.window.destroy() |
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316 | |
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317 | |
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318 | def region(self): |
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319 | """ |
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320 | Use the mouse to get a rectangular region from a plot. |
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321 | |
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322 | The return value is [x0, y0, x1, y1] in world coordinates. |
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323 | """ |
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324 | |
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325 | def region_start(event): |
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326 | height = self.canvas.figure.bbox.height() |
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327 | self.rect = {'fig': None, 'height': height, |
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328 | 'x': event.x, 'y': height - event.y, |
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329 | 'world': [event.xdata, event.ydata, |
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330 | event.xdata, event.ydata]} |
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331 | self.register('button_press', None) |
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332 | self.register('motion_notify', region_draw) |
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333 | self.register('button_release', region_disable) |
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334 | |
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335 | def region_draw(event): |
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336 | self.canvas._tkcanvas.delete(self.rect['fig']) |
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337 | self.rect['fig'] = self.canvas._tkcanvas.create_rectangle( |
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338 | self.rect['x'], self.rect['y'], |
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339 | event.x, self.rect['height'] - event.y) |
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340 | |
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341 | def region_disable(event): |
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342 | self.register('motion_notify', None) |
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343 | self.register('button_release', None) |
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344 | |
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345 | self.canvas._tkcanvas.delete(self.rect['fig']) |
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346 | |
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347 | self.rect['world'][2:4] = [event.xdata, event.ydata] |
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348 | print '(%.2f, %.2f) (%.2f, %.2f)' % (self.rect['world'][0], |
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349 | self.rect['world'][1], self.rect['world'][2], |
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350 | self.rect['world'][3]) |
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351 | |
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352 | self.register('button_press', region_start) |
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353 | |
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354 | # This has to be modified to block and return the result (currently |
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355 | # printed by region_disable) when that becomes possible in matplotlib. |
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356 | |
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357 | return [0.0, 0.0, 0.0, 0.0] |
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358 | |
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359 | |
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360 | def register(self, type=None, func=None): |
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361 | """ |
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362 | Register, reregister, or deregister events of type 'button_press', |
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363 | 'button_release', or 'motion_notify'. |
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364 | |
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365 | The specified callback function should have the following signature: |
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366 | |
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367 | def func(event) |
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368 | |
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369 | where event is an MplEvent instance containing the following data: |
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370 | |
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371 | name # Event name. |
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372 | canvas # FigureCanvas instance generating the event. |
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373 | x = None # x position - pixels from left of canvas. |
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374 | y = None # y position - pixels from bottom of canvas. |
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375 | button = None # Button pressed: None, 1, 2, 3. |
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376 | key = None # Key pressed: None, chr(range(255)), shift, |
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377 | win, or control |
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378 | inaxes = None # Axes instance if cursor within axes. |
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379 | xdata = None # x world coordinate. |
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380 | ydata = None # y world coordinate. |
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381 | |
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382 | For example: |
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383 | |
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384 | def mouse_move(event): |
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385 | print event.xdata, event.ydata |
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386 | |
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387 | a = asaplot() |
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388 | a.register('motion_notify', mouse_move) |
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389 | |
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390 | If func is None, the event is deregistered. |
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391 | |
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392 | Note that in TkAgg keyboard button presses don't generate an event. |
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393 | """ |
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394 | |
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395 | if not self.events.has_key(type): return |
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396 | |
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397 | if func is None: |
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398 | if self.events[type] is not None: |
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399 | # It's not clear that this does anything. |
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400 | self.canvas.mpl_disconnect(self.events[type]) |
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401 | self.events[type] = None |
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402 | |
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403 | # It seems to be necessary to return events to the toolbar. |
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404 | if type == 'motion_notify': |
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405 | self.canvas.mpl_connect(type + '_event', |
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406 | self.figmgr.toolbar.mouse_move) |
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407 | elif type == 'button_press': |
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408 | self.canvas.mpl_connect(type + '_event', |
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409 | self.figmgr.toolbar.press) |
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410 | elif type == 'button_release': |
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411 | self.canvas.mpl_connect(type + '_event', |
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412 | self.figmgr.toolbar.release) |
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413 | |
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414 | else: |
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415 | self.events[type] = self.canvas.mpl_connect(type + '_event', func) |
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416 | |
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417 | |
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418 | def release(self): |
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419 | """ |
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420 | Release buffered graphics. |
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421 | """ |
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422 | self.buffering = False |
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423 | self.show() |
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424 | |
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425 | |
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426 | def save(self, fname=None): |
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427 | """ |
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428 | Save the plot to a file. |
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429 | |
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430 | fname is the name of the output file. The image format is determined |
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431 | from the file suffix; 'png', 'ps', and 'eps' are recognized. If no |
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432 | file name is specified 'yyyymmdd_hhmmss.png' is created in the current |
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433 | directory. |
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434 | """ |
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435 | if fname is None: |
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436 | from datetime import datetime |
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437 | dstr = datetime.now().strftime('%Y%m%d_%H%M%S') |
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438 | fname = 'asap'+dstr+'.png' |
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439 | |
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440 | d = ['png','.ps','eps'] |
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441 | |
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442 | from os.path import expandvars |
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443 | fname = expandvars(fname) |
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444 | |
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445 | if fname[-3:].lower() in d: |
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446 | try: |
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447 | self.canvas.print_figure(fname) |
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448 | print 'Written file %s' % (fname) |
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449 | except IOError, msg: |
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450 | print 'Failed to save %s: Error msg was\n\n%s' % (fname, err) |
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451 | return |
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452 | else: |
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453 | print "Invalid image type. Valid types are:" |
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454 | print "ps, eps, png" |
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455 | |
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456 | |
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457 | def set_axes(self, what=None, *args, **kwargs): |
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458 | """ |
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459 | Set attributes for the axes by calling the relevant Axes.set_*() |
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460 | method. Colour translation is done as described in the doctext |
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461 | for palette(). |
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462 | """ |
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463 | |
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464 | if what is None: return |
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465 | if what[-6:] == 'colour': what = what[:-6] + 'color' |
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466 | |
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467 | newargs = {} |
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468 | for k, v in kwargs.iteritems(): |
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469 | k = k.lower() |
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470 | if k == 'colour': k = 'color' |
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471 | |
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472 | if k == 'color': |
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473 | v = get_colour(v) |
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474 | |
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475 | newargs[k] = v |
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476 | |
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477 | getattr(self.axes, "set_%s"%what)(*args, **newargs) |
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478 | self.show() |
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479 | |
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480 | |
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481 | def set_figure(self, what=None, *args, **kwargs): |
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482 | """ |
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483 | Set attributes for the figure by calling the relevant Figure.set_*() |
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484 | method. Colour translation is done as described in the doctext |
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485 | for palette(). |
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486 | """ |
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487 | |
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488 | if what is None: return |
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489 | if what[-6:] == 'colour': what = what[:-6] + 'color' |
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490 | if what[-5:] == 'color' and len(args): |
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491 | args = (get_colour(args[0]),) |
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492 | |
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493 | newargs = {} |
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494 | for k, v in kwargs.iteritems(): |
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495 | k = k.lower() |
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496 | if k == 'colour': k = 'color' |
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497 | |
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498 | if k == 'color': |
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499 | v = get_colour(v) |
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500 | |
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501 | newargs[k] = v |
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502 | |
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503 | getattr(self.figure, "set_%s"%what)(*args, **newargs) |
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504 | self.show() |
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505 | |
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506 | |
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507 | def set_limits(self, xlim=None, ylim=None): |
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508 | """ |
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509 | Set x-, and y-limits for each subplot. |
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510 | |
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511 | xlim = [xmin, xmax] as in axes.set_xlim(). |
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512 | ylim = [ymin, ymax] as in axes.set_ylim(). |
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513 | """ |
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514 | |
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515 | for s in self.subplots: |
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516 | self.axes = s['axes'] |
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517 | self.lines = s['lines'] |
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518 | if xlim is not None: |
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519 | self.axes.set_xlim(xlim) |
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520 | if ylim is not None: |
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521 | self.axes.set_ylim(ylim) |
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522 | return |
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523 | |
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524 | |
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525 | def set_line(self, number=None, **kwargs): |
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526 | """ |
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527 | Set attributes for the specified line, or else the next line(s) |
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528 | to be plotted. |
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529 | |
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530 | number is the 0-relative number of a line that has already been |
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531 | plotted. If no such line exists, attributes are recorded and used |
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532 | for the next line(s) to be plotted. |
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533 | |
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534 | Keyword arguments specify Line2D attributes, e.g. color='r'. Do |
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535 | |
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536 | import matplotlib |
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537 | help(matplotlib.lines) |
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538 | |
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539 | The set_* methods of class Line2D define the attribute names and |
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540 | values. For non-US usage, "colour" is recognized as synonymous with |
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541 | "color". |
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542 | |
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543 | Set the value to None to delete an attribute. |
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544 | |
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545 | Colour translation is done as described in the doctext for palette(). |
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546 | """ |
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547 | |
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548 | redraw = False |
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549 | for k, v in kwargs.iteritems(): |
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550 | k = k.lower() |
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551 | if k == 'colour': k = 'color' |
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552 | |
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553 | if k == 'color': |
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554 | v = get_colour(v) |
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555 | |
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556 | if 0 <= number < len(self.lines): |
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557 | if self.lines[number] is not None: |
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558 | for line in self.lines[number]: |
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559 | getattr(line, "set_%s"%k)(v) |
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560 | redraw = True |
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561 | else: |
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562 | if v is None: |
---|
563 | del self.attributes[k] |
---|
564 | else: |
---|
565 | self.attributes[k] = v |
---|
566 | |
---|
567 | if redraw: self.show() |
---|
568 | |
---|
569 | |
---|
570 | def set_panels(self, rows=1, cols=0, n=-1, nplots=-1): |
---|
571 | """ |
---|
572 | Set the panel layout. |
---|
573 | |
---|
574 | rows and cols, if cols != 0, specify the number of rows and columns in |
---|
575 | a regular layout. (Indexing of these panels in matplotlib is row- |
---|
576 | major, i.e. column varies fastest.) |
---|
577 | |
---|
578 | cols == 0 is interpreted as a retangular layout that accomodates |
---|
579 | 'rows' panels, e.g. rows == 6, cols == 0 is equivalent to |
---|
580 | rows == 2, cols == 3. |
---|
581 | |
---|
582 | 0 <= n < rows*cols is interpreted as the 0-relative panel number in |
---|
583 | the configuration specified by rows and cols to be added to the |
---|
584 | current figure as its next 0-relative panel number (i). This allows |
---|
585 | non-regular panel layouts to be constructed via multiple calls. Any |
---|
586 | other value of n clears the plot and produces a rectangular array of |
---|
587 | empty panels. The number of these may be limited by nplots. |
---|
588 | """ |
---|
589 | if n < 0 and len(self.subplots): |
---|
590 | self.figure.clear() |
---|
591 | self.set_title() |
---|
592 | |
---|
593 | if rows < 1: rows = 1 |
---|
594 | |
---|
595 | if cols <= 0: |
---|
596 | i = int(sqrt(rows)) |
---|
597 | if i*i < rows: i += 1 |
---|
598 | cols = i |
---|
599 | |
---|
600 | if i*(i-1) >= rows: i -= 1 |
---|
601 | rows = i |
---|
602 | |
---|
603 | if 0 <= n < rows*cols: |
---|
604 | i = len(self.subplots) |
---|
605 | self.subplots.append({}) |
---|
606 | |
---|
607 | self.subplots[i]['axes'] = self.figure.add_subplot(rows, |
---|
608 | cols, n+1) |
---|
609 | self.subplots[i]['lines'] = [] |
---|
610 | |
---|
611 | if i == 0: self.subplot(0) |
---|
612 | |
---|
613 | self.rows = 0 |
---|
614 | self.cols = 0 |
---|
615 | |
---|
616 | else: |
---|
617 | self.subplots = [] |
---|
618 | |
---|
619 | if nplots < 1 or rows*cols < nplots: |
---|
620 | nplots = rows*cols |
---|
621 | |
---|
622 | for i in range(nplots): |
---|
623 | self.subplots.append({}) |
---|
624 | |
---|
625 | self.subplots[i]['axes'] = self.figure.add_subplot(rows, |
---|
626 | cols, i+1) |
---|
627 | self.subplots[i]['lines'] = [] |
---|
628 | |
---|
629 | if rows > 1 or cols > 1: |
---|
630 | # Squeeze the plots together. |
---|
631 | pos = self.subplots[i]['axes'].get_position() |
---|
632 | if cols > 1: pos[2] *= 1.1 |
---|
633 | if rows > 1: pos[3] *= 1.1 |
---|
634 | self.subplots[i]['axes'].set_position(pos) |
---|
635 | |
---|
636 | # Suppress tick labelling for interior subplots. |
---|
637 | if i <= (rows-1)*cols - 1: |
---|
638 | # Suppress x-labels for frames not in the bottom row. |
---|
639 | for tick in self.subplots[i]['axes'].xaxis.majorTicks: |
---|
640 | tick.label1On = False |
---|
641 | |
---|
642 | if i%cols: |
---|
643 | # Suppress y-labels for frames not in the left column. |
---|
644 | for tick in self.subplots[i]['axes'].yaxis.majorTicks: |
---|
645 | tick.label1On = False |
---|
646 | |
---|
647 | self.rows = rows |
---|
648 | self.cols = cols |
---|
649 | |
---|
650 | self.subplot(0) |
---|
651 | |
---|
652 | |
---|
653 | def set_title(self, title=None): |
---|
654 | """ |
---|
655 | Set the title of the plot window. Use the previous title if title is |
---|
656 | omitted. |
---|
657 | """ |
---|
658 | if title is not None: |
---|
659 | self.title = title |
---|
660 | |
---|
661 | self.figure.text(0.5, 0.95, self.title, horizontalalignment='center') |
---|
662 | |
---|
663 | |
---|
664 | def show(self): |
---|
665 | """ |
---|
666 | Show graphics dependent on the current buffering state. |
---|
667 | """ |
---|
668 | if not self.buffering: |
---|
669 | if self.loc: |
---|
670 | for j in range(len(self.subplots)): |
---|
671 | lines = [] |
---|
672 | labels = [] |
---|
673 | i = 0 |
---|
674 | for line in self.subplots[j]['lines']: |
---|
675 | i += 1 |
---|
676 | if line is not None: |
---|
677 | lines.append(line[0]) |
---|
678 | lbl = line[0].get_label() |
---|
679 | if lbl == '': |
---|
680 | lbl = str(i) |
---|
681 | labels.append(lbl) |
---|
682 | |
---|
683 | if len(lines): |
---|
684 | self.subplots[j]['axes'].legend(tuple(lines), |
---|
685 | tuple(labels), |
---|
686 | self.loc) |
---|
687 | else: |
---|
688 | self.subplots[j]['axes'].legend((' ')) |
---|
689 | |
---|
690 | self.window.wm_deiconify() |
---|
691 | self.canvas.show() |
---|
692 | |
---|
693 | |
---|
694 | def subplot(self, i=None, inc=None): |
---|
695 | """ |
---|
696 | Set the subplot to the 0-relative panel number as defined by one or |
---|
697 | more invokations of set_panels(). |
---|
698 | """ |
---|
699 | l = len(self.subplots) |
---|
700 | if l: |
---|
701 | if i is not None: |
---|
702 | self.i = i |
---|
703 | |
---|
704 | if inc is not None: |
---|
705 | self.i += inc |
---|
706 | |
---|
707 | self.i %= l |
---|
708 | self.axes = self.subplots[self.i]['axes'] |
---|
709 | self.lines = self.subplots[self.i]['lines'] |
---|
710 | |
---|
711 | |
---|
712 | def terminate(self): |
---|
713 | """ |
---|
714 | Clear the figure. |
---|
715 | """ |
---|
716 | self.window.destroy() |
---|
717 | |
---|
718 | |
---|
719 | def text(self, *args, **kwargs): |
---|
720 | """ |
---|
721 | Add text to the figure. |
---|
722 | """ |
---|
723 | self.figure.text(*args, **kwargs) |
---|
724 | self.show() |
---|
725 | |
---|
726 | |
---|
727 | def unmap(self): |
---|
728 | """ |
---|
729 | Hide the ASAPlot graphics window. |
---|
730 | """ |
---|
731 | self.window.wm_withdraw() |
---|
732 | |
---|
733 | |
---|
734 | def get_colour(colour='black'): |
---|
735 | """ |
---|
736 | Look up a colour by name in the colour dictionary. Matches are |
---|
737 | case-insensitive, insensitive to blanks, and 'gray' matches 'grey'. |
---|
738 | """ |
---|
739 | |
---|
740 | if colour is None: return None |
---|
741 | |
---|
742 | if match('[rgbcmykw]$', colour): return colour |
---|
743 | if match('#[\da-fA-F]{6}$', colour): return colour |
---|
744 | |
---|
745 | if len(colours) == 0: load_colours() |
---|
746 | |
---|
747 | # Try a quick match. |
---|
748 | if colours.has_key(colour): return colours[colour] |
---|
749 | |
---|
750 | colour = colour.replace(' ','').lower() |
---|
751 | colour = colour.replace('gray','grey') |
---|
752 | for name in colours.keys(): |
---|
753 | if name.lower() == colour: |
---|
754 | return colours[name] |
---|
755 | |
---|
756 | return '#000000' |
---|
757 | |
---|
758 | |
---|
759 | def list_colours(): |
---|
760 | """ |
---|
761 | List the contents of the colour dictionary sorted by name. |
---|
762 | """ |
---|
763 | |
---|
764 | if len(colours) == 0: load_colours() |
---|
765 | |
---|
766 | names = colours.keys() |
---|
767 | names.sort() |
---|
768 | for name in names: |
---|
769 | print colours[name], name |
---|
770 | |
---|
771 | |
---|
772 | def load_colours(filename='/usr/local/lib/rgb.txt'): |
---|
773 | """ |
---|
774 | Load the colour dictionary from the specified file. |
---|
775 | """ |
---|
776 | print 'Loading colour dictionary from', filename |
---|
777 | from os.path import expandvars |
---|
778 | filename = expandvars(filename) |
---|
779 | rgb = open(filename, 'r') |
---|
780 | |
---|
781 | while True: |
---|
782 | line = rgb.readline() |
---|
783 | if line == '': break |
---|
784 | tmp = line.split() |
---|
785 | |
---|
786 | if len(tmp) == 4: |
---|
787 | if tmp[3][:4] == 'gray': continue |
---|
788 | if tmp[3].lower().find('gray') != -1: continue |
---|
789 | |
---|
790 | name = tmp[3][0].upper() + tmp[3][1:] |
---|
791 | r, g, b = int(tmp[0]), int(tmp[1]), int(tmp[2]) |
---|
792 | colours[name] = '#%2.2x%2.2x%2.2x' % (r, g, b) |
---|