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 | class ASAPlot:
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24 | """
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25 | ASAP plotting class based on matplotlib.
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26 | """
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27 |
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28 | def __init__(self, rows=1, cols=0, title='', size=(8,6), buffering=False):
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29 | """
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30 | Create a new instance of the ASAPlot plotting class.
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31 |
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32 | If rows < 1 then a separate call to set_panels() is required to define
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33 | the panel layout; refer to the doctext for set_panels().
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34 | """
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35 | self.window = Tk.Tk()
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36 | self.is_dead = False
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37 | def dest_callback():
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38 | self.is_dead = True
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39 | self.window.destroy()
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40 |
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41 | self.window.protocol("WM_DELETE_WINDOW", dest_callback)
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42 |
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43 | self.figure = Figure(figsize=size, facecolor='#ddddee')
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44 | self.canvas = FigureCanvasTkAgg(self.figure, master=self.window)
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45 | self.canvas.get_tk_widget().pack(side=Tk.TOP, fill=Tk.BOTH, expand=1)
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46 |
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47 | # Simply instantiating this is enough to get a working toolbar.
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48 | self.figmgr = FigureManagerTkAgg(self.canvas, 1, self.window)
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49 | self.window.wm_title('ASAPlot graphics window')
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50 |
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51 | self.events = {'button_press':None,
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52 | 'button_release':None,
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53 | 'motion_notify':None}
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54 |
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55 | self.set_title(title)
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56 | self.subplots = []
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57 | if rows > 0:
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58 | self.set_panels(rows, cols)
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59 |
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60 |
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61 | # Set matplotlib default colour sequence.
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62 | self.colormap = ['blue', 'green', 'red', 'cyan', 'magenta', 'yellow', 'black', 'purple', 'orange', 'pink']
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63 | self.color = 0;
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64 | self.attributes = {}
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65 | self.loc = 0
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66 |
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67 | matplotlib.interactive = True
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68 | self.buffering = buffering
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69 |
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70 | self.canvas.show()
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71 |
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72 |
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73 | def clear(self):
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74 | """
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75 | Delete all lines from the plot. Line numbering will restart from 1.
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76 | """
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77 |
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78 | for i in range(len(self.lines)):
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79 | self.delete(i)
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80 | self.axes.clear()
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81 | self.color = 0
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82 | self.lines = []
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83 |
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84 |
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85 | def palette(self, color, colormap=None):
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86 | if colormap:
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87 | self.colormap = colormap
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88 | if 0 <= color < len(self.colormap):
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89 | self.color = color
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90 |
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91 | def delete(self, numbers=None):
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92 | """
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93 | Delete the 0-relative line number, default is to delete the last.
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94 | The remaining lines are NOT renumbered.
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95 | """
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96 |
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97 | if numbers is None: numbers = [len(self.lines)-1]
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98 |
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99 | if not hasattr(numbers, '__iter__'):
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100 | numbers = [numbers]
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101 |
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102 | for number in numbers:
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103 | if 0 <= number < len(self.lines):
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104 | if self.lines[number] is not None:
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105 | for line in self.lines[number]:
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106 | line.set_linestyle('None')
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107 | self.lines[number] = None
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108 | self.show()
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109 |
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110 | def get_line(self):
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111 | """
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112 | Get the current default line attributes.
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113 | """
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114 | return self.attributes
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115 |
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116 |
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117 | def hist(self, x=None, y=None, fmt=None):
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118 | """
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119 | Plot a histogram. N.B. the x values refer to the start of the
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120 | histogram bin.
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121 |
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122 | fmt is the line style as in plot().
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123 | """
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124 |
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125 | if x is None:
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126 | if y is None: return
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127 | x = range(0,len(y))
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128 |
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129 | if len(x) != len(y):
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130 | return
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131 |
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132 | l2 = 2*len(x)
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133 | x2 = range(0,l2)
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134 | y2 = range(0,l2)
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135 |
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136 | for i in range(0,l2):
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137 | x2[i] = x[i/2]
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138 |
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139 | y2[0] = 0
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140 | for i in range(1,l2):
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141 | y2[i] = y[(i-1)/2]
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142 |
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143 | self.plot(x2, y2, fmt)
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144 |
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145 |
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146 | def hold(self, hold=True):
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147 | """
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148 | Buffer graphics until subsequently released.
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149 | """
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150 | self.buffering = hold
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151 |
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152 |
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153 | def legend(self, loc=None):
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154 | """
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155 | Add a legend to the plot.
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156 |
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157 | Any other value for loc else disables the legend:
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158 | 1: upper right
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159 | 2: upper left
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160 | 3: lower left
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161 | 4: lower right
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162 | 5: right
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163 | 6: center left
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164 | 7: center right
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165 | 8: lower center
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166 | 9: upper center
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167 | 10: center
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168 |
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169 | """
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170 | if isinstance(loc,int):
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171 | if 0 > loc > 10: loc = 0
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172 | self.loc = loc
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173 | self.show()
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174 |
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175 |
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176 | def map(self):
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177 | """
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178 | Reveal the ASAPlot graphics window and bring it to the top of the
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179 | window stack.
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180 | """
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181 | self.window.wm_deiconify()
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182 | self.window.lift()
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183 |
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184 |
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185 |
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186 | def plot(self, x=None, y=None, mask=None, fmt=None, add=None):
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187 | """
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188 | Plot the next line in the current frame using the current line
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189 | attributes. The ASAPlot graphics window will be mapped and raised.
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190 |
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191 | The argument list works a bit like the matlab plot() function.
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192 | """
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193 |
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194 | if x is None:
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195 | if y is None: return
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196 | x = range(len(y))
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197 |
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198 | elif y is None:
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199 | y = x
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200 | x = range(len(y))
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201 |
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202 | if mask is None:
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203 | if fmt is None:
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204 | line = self.axes.plot(x, y)
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205 | else:
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206 | line = self.axes.plot(x, y, fmt)
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207 | else:
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208 | segments = []
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209 |
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210 | mask = list(mask)
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211 | i = 0
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212 | while mask[i:].count(1):
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213 | i += mask[i:].index(1)
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214 | if mask[i:].count(0):
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215 | j = i + mask[i:].index(0)
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216 | else:
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217 | j = len(mask)
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218 |
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219 | segments.append(x[i:j])
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220 | segments.append(y[i:j])
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221 |
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222 | i = j
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223 |
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224 | line = self.axes.plot(*segments)
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225 |
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226 | # Add to an existing line?
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227 | if add is None or len(self.lines) < add < 0:
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228 | # Don't add.
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229 | self.lines.append(line)
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230 | i = len(self.lines) - 1
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231 | else:
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232 | if add == 0: add = len(self.lines)
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233 | i = add - 1
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234 | self.lines[i].extend(line)
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235 |
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236 | # Set/reset attributes for the line.
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237 | gotcolour = False
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238 | for k, v in self.attributes.iteritems():
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239 | if k == 'color': gotcolour = True
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240 | for segment in self.lines[i]:
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241 | getattr(segment, "set_%s"%k)(v)
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242 |
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243 | if not gotcolour and len(self.colormap):
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244 | for segment in self.lines[i]:
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245 | getattr(segment, "set_color")(self.colormap[self.color])
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246 |
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247 | self.color += 1
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248 | if self.color >= len(self.colormap):
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249 | self.color = 0
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250 |
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251 | self.show()
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252 |
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253 |
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254 | def position(self):
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255 | """
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256 | Use the mouse to get a position from a graph.
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257 | """
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258 |
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259 | def position_disable(event):
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260 | self.register('button_press', None)
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261 | print '%.4f, %.4f' % (event.xdata, event.ydata)
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262 |
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263 | print 'Press any mouse button...'
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264 | self.register('button_press', position_disable)
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265 |
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266 |
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267 | def quit(self):
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268 | """
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269 | Destroy the ASAPlot graphics window.
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270 | """
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271 | self.window.destroy()
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272 |
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273 |
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274 | def region(self):
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275 | """
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276 | Use the mouse to get a rectangular region from a plot.
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277 |
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278 | The return value is [x0, y0, x1, y1] in world coordinates.
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279 | """
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280 |
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281 | def region_start(event):
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282 | height = self.canvas.figure.bbox.height()
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283 | self.rect = {'fig': None, 'height': height,
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284 | 'x': event.x, 'y': height - event.y,
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285 | 'world': [event.xdata, event.ydata,
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286 | event.xdata, event.ydata]}
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287 | self.register('button_press', None)
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288 | self.register('motion_notify', region_draw)
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289 | self.register('button_release', region_disable)
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290 |
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291 | def region_draw(event):
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292 | self.canvas._tkcanvas.delete(self.rect['fig'])
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293 | self.rect['fig'] = self.canvas._tkcanvas.create_rectangle(
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294 | self.rect['x'], self.rect['y'],
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295 | event.x, self.rect['height'] - event.y)
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296 |
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297 | def region_disable(event):
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298 | self.register('motion_notify', None)
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299 | self.register('button_release', None)
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300 |
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301 | self.canvas._tkcanvas.delete(self.rect['fig'])
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302 |
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303 | self.rect['world'][2:4] = [event.xdata, event.ydata]
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304 | print '(%.2f, %.2f) (%.2f, %.2f)' % (self.rect['world'][0],
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305 | self.rect['world'][1], self.rect['world'][2],
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306 | self.rect['world'][3])
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307 |
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308 | self.register('button_press', region_start)
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309 |
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310 | # This has to be modified to block and return the result (currently
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311 | # printed by region_disable) when that becomes possible in matplotlib.
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312 |
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313 | return [0.0, 0.0, 0.0, 0.0]
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314 |
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315 |
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316 | def register(self, type=None, func=None):
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317 | """
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318 | Register, reregister, or deregister events of type 'button_press',
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319 | 'button_release', or 'motion_notify'.
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320 |
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321 | The specified callback function should have the following signature:
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322 |
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323 | def func(event)
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324 |
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325 | where event is an MplEvent instance containing the following data:
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326 |
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327 | name # Event name.
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328 | canvas # FigureCanvas instance generating the event.
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329 | x = None # x position - pixels from left of canvas.
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330 | y = None # y position - pixels from bottom of canvas.
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331 | button = None # Button pressed: None, 1, 2, 3.
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332 | key = None # Key pressed: None, chr(range(255)), shift,
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333 | win, or control
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334 | inaxes = None # Axes instance if cursor within axes.
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335 | xdata = None # x world coordinate.
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336 | ydata = None # y world coordinate.
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337 |
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338 | For example:
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339 |
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340 | def mouse_move(event):
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341 | print event.xdata, event.ydata
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342 |
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343 | a = asaplot()
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344 | a.register('motion_notify', mouse_move)
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345 |
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346 | If func is None, the event is deregistered.
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347 |
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348 | Note that in TkAgg keyboard button presses don't generate an event.
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349 | """
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350 |
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351 | if not self.events.has_key(type): return
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352 |
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353 | if func is None:
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354 | if self.events[type] is not None:
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355 | # It's not clear that this does anything.
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356 | self.canvas.mpl_disconnect(self.events[type])
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357 | self.events[type] = None
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358 |
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359 | # It seems to be necessary to return events to the toolbar.
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360 | if type == 'motion_notify':
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361 | self.canvas.mpl_connect(type + '_event',
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362 | self.figmgr.toolbar.mouse_move)
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363 | elif type == 'button_press':
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364 | self.canvas.mpl_connect(type + '_event',
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365 | self.figmgr.toolbar.press)
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366 | elif type == 'button_release':
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367 | self.canvas.mpl_connect(type + '_event',
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368 | self.figmgr.toolbar.release)
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369 |
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370 | else:
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371 | self.events[type] = self.canvas.mpl_connect(type + '_event', func)
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372 |
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373 |
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374 | def release(self):
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375 | """
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376 | Release buffered graphics.
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377 | """
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378 | self.buffering = False
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379 | self.show()
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380 |
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381 |
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382 | def save(self, fname=None):
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383 | """
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384 | Save the plot to a file.
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385 |
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386 | fname is the name of the output file. The image format is determined
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387 | from the file suffix; 'png', 'ps', and 'eps' are recognized. If no
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388 | file name is specified 'yyyymmdd_hhmmss.png' is created in the current
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389 | directory.
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390 | """
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391 | if fname is None:
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392 | from datetime import datetime
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393 | dstr = datetime.now().strftime('%Y%m%d_%H%M%S')
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394 | fname = 'asap'+dstr+'.png'
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395 |
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396 | d = ['png','.ps','eps']
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397 |
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398 | from os.path import expandvars
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399 | fname = expandvars(fname)
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400 |
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401 | if fname[-3:].lower() in d:
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402 | try:
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403 | self.canvas.print_figure(fname)
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404 | print 'Written file %s' % (fname)
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405 | except IOError, msg:
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406 | print 'Failed to save %s: Error msg was\n\n%s' % (fname, err)
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407 | return
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408 | else:
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409 | print "Invalid image type. Valid types are:"
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410 | print "ps, eps, png"
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411 |
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412 |
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413 | def set_axes(self, what=None, *args, **kwargs):
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414 | """
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415 | Set attributes for the axes by calling the relevant Axes.set_*()
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416 | method. Colour translation is done as described in the doctext
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417 | for palette().
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418 | """
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419 |
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420 | if what is None: return
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421 | if what[-6:] == 'colour': what = what[:-6] + 'color'
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422 |
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423 | newargs = {}
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424 |
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425 | for k, v in kwargs.iteritems():
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426 | k = k.lower()
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427 | if k == 'colour': k = 'color'
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428 | newargs[k] = v
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429 |
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430 | getattr(self.axes, "set_%s"%what)(*args, **newargs)
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431 | self.show()
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432 |
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433 |
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434 | def set_figure(self, what=None, *args, **kwargs):
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435 | """
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436 | Set attributes for the figure by calling the relevant Figure.set_*()
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437 | method. Colour translation is done as described in the doctext
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438 | for palette().
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439 | """
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440 |
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441 | if what is None: return
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442 | if what[-6:] == 'colour': what = what[:-6] + 'color'
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443 | #if what[-5:] == 'color' and len(args):
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444 | # args = (get_colour(args[0]),)
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445 |
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446 | newargs = {}
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447 | for k, v in kwargs.iteritems():
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448 | k = k.lower()
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449 | if k == 'colour': k = 'color'
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450 | newargs[k] = v
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451 |
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452 | getattr(self.figure, "set_%s"%what)(*args, **newargs)
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453 | self.show()
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454 |
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455 |
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456 | def set_limits(self, xlim=None, ylim=None):
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457 | """
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458 | Set x-, and y-limits for each subplot.
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459 |
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460 | xlim = [xmin, xmax] as in axes.set_xlim().
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461 | ylim = [ymin, ymax] as in axes.set_ylim().
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462 | """
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463 | for s in self.subplots:
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464 | self.axes = s['axes']
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465 | self.lines = s['lines']
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466 | oldxlim = list(self.axes.get_xlim())
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467 | oldylim = list(self.axes.get_ylim())
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468 | if xlim is not None:
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469 | for i in range(len(xlim)):
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470 | if xlim[i] is not None:
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471 | oldxlim[i] = xlim[i]
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472 | if ylim is not None:
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473 | for i in range(len(ylim)):
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474 | if ylim[i] is not None:
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475 | oldylim[i] = ylim[i]
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476 | self.axes.set_xlim(oldxlim)
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477 | self.axes.set_ylim(oldylim)
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478 | return
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479 |
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480 |
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481 | def set_line(self, number=None, **kwargs):
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482 | """
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483 | Set attributes for the specified line, or else the next line(s)
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484 | to be plotted.
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485 |
|
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486 | number is the 0-relative number of a line that has already been
|
---|
487 | plotted. If no such line exists, attributes are recorded and used
|
---|
488 | for the next line(s) to be plotted.
|
---|
489 |
|
---|
490 | Keyword arguments specify Line2D attributes, e.g. color='r'. Do
|
---|
491 |
|
---|
492 | import matplotlib
|
---|
493 | help(matplotlib.lines)
|
---|
494 |
|
---|
495 | The set_* methods of class Line2D define the attribute names and
|
---|
496 | values. For non-US usage, "colour" is recognized as synonymous with
|
---|
497 | "color".
|
---|
498 |
|
---|
499 | Set the value to None to delete an attribute.
|
---|
500 |
|
---|
501 | Colour translation is done as described in the doctext for palette().
|
---|
502 | """
|
---|
503 |
|
---|
504 | redraw = False
|
---|
505 | for k, v in kwargs.iteritems():
|
---|
506 | k = k.lower()
|
---|
507 | if k == 'colour': k = 'color'
|
---|
508 |
|
---|
509 | if 0 <= number < len(self.lines):
|
---|
510 | if self.lines[number] is not None:
|
---|
511 | for line in self.lines[number]:
|
---|
512 | getattr(line, "set_%s"%k)(v)
|
---|
513 | redraw = True
|
---|
514 | else:
|
---|
515 | if v is None:
|
---|
516 | del self.attributes[k]
|
---|
517 | else:
|
---|
518 | self.attributes[k] = v
|
---|
519 |
|
---|
520 | if redraw: self.show()
|
---|
521 |
|
---|
522 |
|
---|
523 | def set_panels(self, rows=1, cols=0, n=-1, nplots=-1, ganged=True):
|
---|
524 | """
|
---|
525 | Set the panel layout.
|
---|
526 |
|
---|
527 | rows and cols, if cols != 0, specify the number of rows and columns in
|
---|
528 | a regular layout. (Indexing of these panels in matplotlib is row-
|
---|
529 | major, i.e. column varies fastest.)
|
---|
530 |
|
---|
531 | cols == 0 is interpreted as a retangular layout that accomodates
|
---|
532 | 'rows' panels, e.g. rows == 6, cols == 0 is equivalent to
|
---|
533 | rows == 2, cols == 3.
|
---|
534 |
|
---|
535 | 0 <= n < rows*cols is interpreted as the 0-relative panel number in
|
---|
536 | the configuration specified by rows and cols to be added to the
|
---|
537 | current figure as its next 0-relative panel number (i). This allows
|
---|
538 | non-regular panel layouts to be constructed via multiple calls. Any
|
---|
539 | other value of n clears the plot and produces a rectangular array of
|
---|
540 | empty panels. The number of these may be limited by nplots.
|
---|
541 | """
|
---|
542 | if n < 0 and len(self.subplots):
|
---|
543 | self.figure.clear()
|
---|
544 | self.set_title()
|
---|
545 |
|
---|
546 | if rows < 1: rows = 1
|
---|
547 |
|
---|
548 | if cols <= 0:
|
---|
549 | i = int(sqrt(rows))
|
---|
550 | if i*i < rows: i += 1
|
---|
551 | cols = i
|
---|
552 |
|
---|
553 | if i*(i-1) >= rows: i -= 1
|
---|
554 | rows = i
|
---|
555 |
|
---|
556 | if 0 <= n < rows*cols:
|
---|
557 | i = len(self.subplots)
|
---|
558 | self.subplots.append({})
|
---|
559 |
|
---|
560 | self.subplots[i]['axes'] = self.figure.add_subplot(rows,
|
---|
561 | cols, n+1)
|
---|
562 | self.subplots[i]['lines'] = []
|
---|
563 |
|
---|
564 | if i == 0: self.subplot(0)
|
---|
565 |
|
---|
566 | self.rows = 0
|
---|
567 | self.cols = 0
|
---|
568 |
|
---|
569 | else:
|
---|
570 | self.subplots = []
|
---|
571 |
|
---|
572 | if nplots < 1 or rows*cols < nplots:
|
---|
573 | nplots = rows*cols
|
---|
574 |
|
---|
575 | for i in range(nplots):
|
---|
576 | self.subplots.append({})
|
---|
577 |
|
---|
578 | self.subplots[i]['axes'] = self.figure.add_subplot(rows,
|
---|
579 | cols, i+1)
|
---|
580 | self.subplots[i]['lines'] = []
|
---|
581 | xfsize = self.subplots[i]['axes'].xaxis.label.get_size()-cols/2
|
---|
582 | yfsize = self.subplots[i]['axes'].yaxis.label.get_size()-rows/2
|
---|
583 | self.subplots[i]['axes'].xaxis.label.set_size(xfsize)
|
---|
584 | self.subplots[i]['axes'].yaxis.label.set_size(yfsize)
|
---|
585 |
|
---|
586 | if ganged:
|
---|
587 | if rows > 1 or cols > 1:
|
---|
588 | # Squeeze the plots together.
|
---|
589 | pos = self.subplots[i]['axes'].get_position()
|
---|
590 | if cols > 1: pos[2] *= 1.2
|
---|
591 | if rows > 1: pos[3] *= 1.2
|
---|
592 | self.subplots[i]['axes'].set_position(pos)
|
---|
593 |
|
---|
594 | # Suppress tick labelling for interior subplots.
|
---|
595 | if i <= (rows-1)*cols - 1:
|
---|
596 | if i+cols < nplots:
|
---|
597 | # Suppress x-labels for frames width
|
---|
598 | # adjacent frames
|
---|
599 | for tick in \
|
---|
600 | self.subplots[i]['axes'].xaxis.majorTicks:
|
---|
601 | tick.label1On = False
|
---|
602 | self.subplots[i]['axes'].xaxis.label.set_visible(False)
|
---|
603 | if i%cols:
|
---|
604 | # Suppress y-labels for frames not in the left column.
|
---|
605 | for tick in self.subplots[i]['axes'].yaxis.majorTicks:
|
---|
606 | tick.label1On = False
|
---|
607 | self.subplots[i]['axes'].yaxis.label.set_visible(False)
|
---|
608 |
|
---|
609 |
|
---|
610 | self.rows = rows
|
---|
611 | self.cols = cols
|
---|
612 |
|
---|
613 | self.subplot(0)
|
---|
614 |
|
---|
615 | def set_title(self, title=None):
|
---|
616 | """
|
---|
617 | Set the title of the plot window. Use the previous title if title is
|
---|
618 | omitted.
|
---|
619 | """
|
---|
620 | if title is not None:
|
---|
621 | self.title = title
|
---|
622 |
|
---|
623 | self.figure.text(0.5, 0.95, self.title, horizontalalignment='center')
|
---|
624 |
|
---|
625 |
|
---|
626 | def show(self):
|
---|
627 | """
|
---|
628 | Show graphics dependent on the current buffering state.
|
---|
629 | """
|
---|
630 | if not self.buffering:
|
---|
631 | if self.loc is not None:
|
---|
632 | for j in range(len(self.subplots)):
|
---|
633 | lines = []
|
---|
634 | labels = []
|
---|
635 | i = 0
|
---|
636 | for line in self.subplots[j]['lines']:
|
---|
637 | i += 1
|
---|
638 | if line is not None:
|
---|
639 | lines.append(line[0])
|
---|
640 | lbl = line[0].get_label()
|
---|
641 | if lbl == '':
|
---|
642 | lbl = str(i)
|
---|
643 | labels.append(lbl)
|
---|
644 |
|
---|
645 | if len(lines):
|
---|
646 | self.subplots[j]['axes'].legend(tuple(lines),
|
---|
647 | tuple(labels),
|
---|
648 | self.loc)
|
---|
649 | else:
|
---|
650 | self.subplots[j]['axes'].legend((' '))
|
---|
651 |
|
---|
652 | self.window.wm_deiconify()
|
---|
653 | self.canvas.show()
|
---|
654 |
|
---|
655 | def subplot(self, i=None, inc=None):
|
---|
656 | """
|
---|
657 | Set the subplot to the 0-relative panel number as defined by one or
|
---|
658 | more invokations of set_panels().
|
---|
659 | """
|
---|
660 | l = len(self.subplots)
|
---|
661 | if l:
|
---|
662 | if i is not None:
|
---|
663 | self.i = i
|
---|
664 |
|
---|
665 | if inc is not None:
|
---|
666 | self.i += inc
|
---|
667 |
|
---|
668 | self.i %= l
|
---|
669 | self.axes = self.subplots[self.i]['axes']
|
---|
670 | self.lines = self.subplots[self.i]['lines']
|
---|
671 |
|
---|
672 |
|
---|
673 | def terminate(self):
|
---|
674 | """
|
---|
675 | Clear the figure.
|
---|
676 | """
|
---|
677 | self.window.destroy()
|
---|
678 |
|
---|
679 |
|
---|
680 | def text(self, *args, **kwargs):
|
---|
681 | """
|
---|
682 | Add text to the figure.
|
---|
683 | """
|
---|
684 | self.figure.text(*args, **kwargs)
|
---|
685 | self.show()
|
---|
686 |
|
---|
687 |
|
---|
688 | def unmap(self):
|
---|
689 | """
|
---|
690 | Hide the ASAPlot graphics window.
|
---|
691 | """
|
---|
692 | self.window.wm_withdraw()
|
---|