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 | |
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8 | import matplotlib |
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9 | |
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10 | from matplotlib.figure import Figure, Text |
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11 | from matplotlib.font_manager import FontProperties as FP |
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12 | from matplotlib.numerix import sqrt |
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13 | from matplotlib import rc, rcParams |
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14 | from asap import rcParams as asaprcParams |
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15 | from matplotlib.ticker import OldScalarFormatter |
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16 | from matplotlib.ticker import NullLocator |
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17 | |
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18 | # API change in mpl >= 0.98 |
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19 | try: |
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20 | from matplotlib.transforms import blended_transform_factory |
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21 | except ImportError: |
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22 | from matplotlib.transforms import blend_xy_sep_transform as blended_transform_factory |
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23 | |
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24 | if int(matplotlib.__version__.split(".")[1]) < 87: |
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25 | print "Warning: matplotlib version < 0.87. This might cause errors. Please upgrade." |
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26 | |
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27 | #class MyFormatter(OldScalarFormatter): |
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28 | # def __call__(self, x, pos=None): |
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29 | # last = len(self.locs)-2 |
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30 | # if pos==0: |
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31 | # return '' |
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32 | # else: return OldScalarFormatter.__call__(self, x, pos) |
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33 | |
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34 | class asaplotbase: |
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35 | """ |
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36 | ASAP plotting base class based on matplotlib. |
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37 | """ |
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38 | |
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39 | def __init__(self, rows=1, cols=0, title='', size=(8,6), buffering=False): |
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40 | """ |
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41 | Create a new instance of the ASAPlot plotting class. |
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42 | |
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43 | If rows < 1 then a separate call to set_panels() is required to define |
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44 | the panel layout; refer to the doctext for set_panels(). |
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45 | """ |
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46 | self.is_dead = False |
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47 | self.figure = Figure(figsize=size, facecolor='#ddddee') |
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48 | self.canvas = None |
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49 | |
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50 | self.set_title(title) |
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51 | self.subplots = [] |
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52 | if rows > 0: |
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53 | self.set_panels(rows, cols) |
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54 | |
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55 | # Set matplotlib default colour sequence. |
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56 | self.colormap = "green red black cyan magenta orange blue purple yellow pink".split() |
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57 | |
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58 | c = asaprcParams['plotter.colours'] |
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59 | if isinstance(c,str) and len(c) > 0: |
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60 | self.colormap = c.split() |
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61 | |
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62 | self.lsalias = {"line": [1,0], |
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63 | "dashdot": [4,2,1,2], |
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64 | "dashed" : [4,2,4,2], |
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65 | "dotted" : [1,2], |
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66 | "dashdotdot": [4,2,1,2,1,2], |
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67 | "dashdashdot": [4,2,4,2,1,2] |
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68 | } |
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69 | |
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70 | styles = "line dashed dotted dashdot".split() |
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71 | c = asaprcParams['plotter.linestyles'] |
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72 | if isinstance(c,str) and len(c) > 0: |
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73 | styles = c.split() |
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74 | s = [] |
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75 | for ls in styles: |
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76 | if self.lsalias.has_key(ls): |
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77 | s.append(self.lsalias.get(ls)) |
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78 | else: |
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79 | s.append('-') |
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80 | self.linestyles = s |
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81 | |
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82 | self.color = 0; |
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83 | self.linestyle = 0; |
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84 | self.attributes = {} |
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85 | self.loc = 0 |
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86 | |
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87 | self.buffering = buffering |
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88 | |
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89 | def clear(self): |
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90 | """ |
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91 | Delete all lines from the plot. Line numbering will restart from 0. |
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92 | """ |
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93 | |
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94 | for i in range(len(self.lines)): |
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95 | self.delete(i) |
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96 | self.axes.clear() |
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97 | self.color = 0 |
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98 | self.lines = [] |
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99 | |
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100 | def palette(self, color, colormap=None, linestyle=0, linestyles=None): |
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101 | if colormap: |
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102 | if isinstance(colormap,list): |
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103 | self.colormap = colormap |
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104 | elif isinstance(colormap,str): |
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105 | self.colormap = colormap.split() |
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106 | if 0 <= color < len(self.colormap): |
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107 | self.color = color |
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108 | if linestyles: |
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109 | self.linestyles = [] |
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110 | if isinstance(linestyles,list): |
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111 | styles = linestyles |
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112 | elif isinstance(linestyles,str): |
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113 | styles = linestyles.split() |
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114 | for ls in styles: |
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115 | if self.lsalias.has_key(ls): |
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116 | self.linestyles.append(self.lsalias.get(ls)) |
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117 | else: |
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118 | self.linestyles.append(self.lsalias.get('line')) |
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119 | if 0 <= linestyle < len(self.linestyles): |
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120 | self.linestyle = linestyle |
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121 | |
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122 | def delete(self, numbers=None): |
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123 | """ |
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124 | Delete the 0-relative line number, default is to delete the last. |
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125 | The remaining lines are NOT renumbered. |
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126 | """ |
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127 | |
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128 | if numbers is None: numbers = [len(self.lines)-1] |
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129 | |
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130 | if not hasattr(numbers, '__iter__'): |
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131 | numbers = [numbers] |
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132 | |
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133 | for number in numbers: |
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134 | if 0 <= number < len(self.lines): |
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135 | if self.lines[number] is not None: |
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136 | for line in self.lines[number]: |
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137 | line.set_linestyle('None') |
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138 | self.lines[number] = None |
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139 | self.show() |
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140 | |
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141 | def get_line(self): |
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142 | """ |
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143 | Get the current default line attributes. |
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144 | """ |
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145 | return self.attributes |
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146 | |
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147 | |
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148 | def hist(self, x=None, y=None, fmt=None, add=None): |
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149 | """ |
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150 | Plot a histogram. N.B. the x values refer to the start of the |
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151 | histogram bin. |
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152 | |
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153 | fmt is the line style as in plot(). |
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154 | """ |
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155 | from matplotlib.numerix import array |
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156 | from matplotlib.numerix.ma import MaskedArray |
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157 | if x is None: |
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158 | if y is None: return |
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159 | x = range(len(y)) |
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160 | |
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161 | if len(x) != len(y): |
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162 | return |
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163 | l2 = 2*len(x) |
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164 | x2 = range(l2) |
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165 | y2 = range(12) |
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166 | y2 = range(l2) |
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167 | m2 = range(l2) |
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168 | ymsk = y.raw_mask() |
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169 | ydat = y.raw_data() |
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170 | for i in range(l2): |
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171 | x2[i] = x[i/2] |
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172 | m2[i] = ymsk[i/2] |
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173 | |
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174 | y2[0] = 0.0 |
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175 | for i in range(1,l2): |
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176 | y2[i] = ydat[(i-1)/2] |
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177 | |
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178 | self.plot(x2, MaskedArray(y2,mask=m2,copy=0), fmt, add) |
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179 | |
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180 | |
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181 | def hold(self, hold=True): |
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182 | """ |
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183 | Buffer graphics until subsequently released. |
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184 | """ |
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185 | self.buffering = hold |
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186 | |
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187 | |
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188 | def legend(self, loc=None): |
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189 | """ |
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190 | Add a legend to the plot. |
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191 | |
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192 | Any other value for loc else disables the legend: |
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193 | 1: upper right |
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194 | 2: upper left |
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195 | 3: lower left |
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196 | 4: lower right |
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197 | 5: right |
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198 | 6: center left |
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199 | 7: center right |
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200 | 8: lower center |
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201 | 9: upper center |
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202 | 10: center |
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203 | |
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204 | """ |
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205 | if isinstance(loc, int): |
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206 | self.loc = None |
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207 | if 0 <= loc <= 10: self.loc = loc |
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208 | else: |
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209 | self.loc = None |
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210 | #self.show() |
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211 | |
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212 | |
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213 | def plot(self, x=None, y=None, fmt=None, add=None): |
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214 | """ |
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215 | Plot the next line in the current frame using the current line |
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216 | attributes. The ASAPlot graphics window will be mapped and raised. |
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217 | |
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218 | The argument list works a bit like the matlab plot() function. |
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219 | """ |
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220 | if x is None: |
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221 | if y is None: return |
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222 | x = range(len(y)) |
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223 | |
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224 | elif y is None: |
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225 | y = x |
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226 | x = range(len(y)) |
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227 | if fmt is None: |
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228 | line = self.axes.plot(x, y) |
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229 | else: |
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230 | line = self.axes.plot(x, y, fmt) |
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231 | |
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232 | # Add to an existing line? |
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233 | i = None |
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234 | if add is None or len(self.lines) < add < 0: |
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235 | # Don't add. |
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236 | self.lines.append(line) |
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237 | i = len(self.lines) - 1 |
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238 | else: |
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239 | if add == 0: add = len(self.lines) |
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240 | i = add - 1 |
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241 | self.lines[i].extend(line) |
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242 | |
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243 | # Set/reset attributes for the line. |
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244 | gotcolour = False |
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245 | for k, v in self.attributes.iteritems(): |
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246 | if k == 'color': gotcolour = True |
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247 | for segment in self.lines[i]: |
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248 | getattr(segment, "set_%s"%k)(v) |
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249 | |
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250 | if not gotcolour and len(self.colormap): |
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251 | for segment in self.lines[i]: |
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252 | getattr(segment, "set_color")(self.colormap[self.color]) |
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253 | if len(self.colormap) == 1: |
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254 | getattr(segment, "set_dashes")(self.linestyles[self.linestyle]) |
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255 | |
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256 | self.color += 1 |
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257 | if self.color >= len(self.colormap): |
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258 | self.color = 0 |
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259 | |
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260 | if len(self.colormap) == 1: |
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261 | self.linestyle += 1 |
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262 | if self.linestyle >= len(self.linestyles): |
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263 | self.linestyle = 0 |
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264 | |
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265 | self.show() |
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266 | |
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267 | |
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268 | def position(self): |
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269 | """ |
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270 | Use the mouse to get a position from a graph. |
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271 | """ |
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272 | |
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273 | def position_disable(event): |
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274 | self.register('button_press', None) |
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275 | print '%.4f, %.4f' % (event.xdata, event.ydata) |
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276 | |
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277 | print 'Press any mouse button...' |
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278 | self.register('button_press', position_disable) |
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279 | |
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280 | |
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281 | def region(self): |
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282 | """ |
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283 | Use the mouse to get a rectangular region from a plot. |
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284 | |
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285 | The return value is [x0, y0, x1, y1] in world coordinates. |
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286 | """ |
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287 | |
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288 | def region_start(event): |
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289 | height = self.canvas.figure.bbox.height() |
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290 | self.rect = {'fig': None, 'height': height, |
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291 | 'x': event.x, 'y': height - event.y, |
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292 | 'world': [event.xdata, event.ydata, |
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293 | event.xdata, event.ydata]} |
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294 | self.register('button_press', None) |
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295 | self.register('motion_notify', region_draw) |
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296 | self.register('button_release', region_disable) |
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297 | |
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298 | def region_draw(event): |
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299 | self.canvas._tkcanvas.delete(self.rect['fig']) |
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300 | self.rect['fig'] = self.canvas._tkcanvas.create_rectangle( |
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301 | self.rect['x'], self.rect['y'], |
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302 | event.x, self.rect['height'] - event.y) |
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303 | |
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304 | def region_disable(event): |
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305 | self.register('motion_notify', None) |
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306 | self.register('button_release', None) |
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307 | |
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308 | self.canvas._tkcanvas.delete(self.rect['fig']) |
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309 | |
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310 | self.rect['world'][2:4] = [event.xdata, event.ydata] |
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311 | print '(%.2f, %.2f) (%.2f, %.2f)' % (self.rect['world'][0], |
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312 | self.rect['world'][1], self.rect['world'][2], |
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313 | self.rect['world'][3]) |
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314 | |
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315 | self.register('button_press', region_start) |
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316 | |
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317 | # This has to be modified to block and return the result (currently |
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318 | # printed by region_disable) when that becomes possible in matplotlib. |
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319 | |
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320 | return [0.0, 0.0, 0.0, 0.0] |
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321 | |
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322 | |
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323 | def register(self, type=None, func=None): |
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324 | """ |
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325 | Register, reregister, or deregister events of type 'button_press', |
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326 | 'button_release', or 'motion_notify'. |
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327 | |
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328 | The specified callback function should have the following signature: |
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329 | |
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330 | def func(event) |
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331 | |
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332 | where event is an MplEvent instance containing the following data: |
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333 | |
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334 | name # Event name. |
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335 | canvas # FigureCanvas instance generating the event. |
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336 | x = None # x position - pixels from left of canvas. |
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337 | y = None # y position - pixels from bottom of canvas. |
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338 | button = None # Button pressed: None, 1, 2, 3. |
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339 | key = None # Key pressed: None, chr(range(255)), shift, |
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340 | win, or control |
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341 | inaxes = None # Axes instance if cursor within axes. |
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342 | xdata = None # x world coordinate. |
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343 | ydata = None # y world coordinate. |
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344 | |
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345 | For example: |
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346 | |
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347 | def mouse_move(event): |
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348 | print event.xdata, event.ydata |
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349 | |
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350 | a = asaplot() |
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351 | a.register('motion_notify', mouse_move) |
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352 | |
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353 | If func is None, the event is deregistered. |
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354 | |
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355 | Note that in TkAgg keyboard button presses don't generate an event. |
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356 | """ |
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357 | |
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358 | if not self.events.has_key(type): return |
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359 | |
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360 | if func is None: |
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361 | if self.events[type] is not None: |
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362 | # It's not clear that this does anything. |
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363 | self.canvas.mpl_disconnect(self.events[type]) |
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364 | self.events[type] = None |
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365 | |
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366 | # It seems to be necessary to return events to the toolbar. |
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367 | if type == 'motion_notify': |
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368 | self.canvas.mpl_connect(type + '_event', |
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369 | self.figmgr.toolbar.mouse_move) |
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370 | elif type == 'button_press': |
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371 | self.canvas.mpl_connect(type + '_event', |
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372 | self.figmgr.toolbar.press) |
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373 | elif type == 'button_release': |
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374 | self.canvas.mpl_connect(type + '_event', |
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375 | self.figmgr.toolbar.release) |
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376 | |
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377 | else: |
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378 | self.events[type] = self.canvas.mpl_connect(type + '_event', func) |
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379 | |
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380 | |
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381 | def release(self): |
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382 | """ |
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383 | Release buffered graphics. |
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384 | """ |
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385 | self.buffering = False |
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386 | self.show() |
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387 | |
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388 | |
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389 | def save(self, fname=None, orientation=None, dpi=None, papertype=None): |
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390 | """ |
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391 | Save the plot to a file. |
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392 | |
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393 | fname is the name of the output file. The image format is determined |
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394 | from the file suffix; 'png', 'ps', and 'eps' are recognized. If no |
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395 | file name is specified 'yyyymmdd_hhmmss.png' is created in the current |
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396 | directory. |
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397 | """ |
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398 | from asap import rcParams |
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399 | if papertype is None: |
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400 | papertype = rcParams['plotter.papertype'] |
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401 | if fname is None: |
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402 | from datetime import datetime |
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403 | dstr = datetime.now().strftime('%Y%m%d_%H%M%S') |
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404 | fname = 'asap'+dstr+'.png' |
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405 | |
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406 | d = ['png','.ps','eps'] |
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407 | |
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408 | from os.path import expandvars |
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409 | fname = expandvars(fname) |
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410 | |
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411 | if fname[-3:].lower() in d: |
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412 | try: |
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413 | if fname[-3:].lower() == ".ps": |
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414 | from matplotlib import __version__ as mv |
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415 | w = self.figure.get_figwidth() |
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416 | h = self.figure.get_figheight() |
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417 | |
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418 | if orientation is None: |
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419 | # oriented |
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420 | if w > h: |
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421 | orientation = 'landscape' |
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422 | else: |
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423 | orientation = 'portrait' |
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424 | from matplotlib.backends.backend_ps import papersize |
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425 | pw,ph = papersize[papertype.lower()] |
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426 | ds = None |
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427 | if orientation == 'landscape': |
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428 | ds = min(ph/w, pw/h) |
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429 | else: |
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430 | ds = min(pw/w, ph/h) |
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431 | ow = ds * w |
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432 | oh = ds * h |
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433 | self.figure.set_size_inches((ow, oh)) |
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434 | self.figure.savefig(fname, orientation=orientation, |
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435 | papertype=papertype.lower()) |
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436 | self.figure.set_size_inches((w, h)) |
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437 | print 'Written file %s' % (fname) |
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438 | else: |
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439 | if dpi is None: |
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440 | dpi =150 |
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441 | self.figure.savefig(fname,dpi=dpi) |
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442 | print 'Written file %s' % (fname) |
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443 | except IOError, msg: |
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444 | print 'Failed to save %s: Error msg was\n\n%s' % (fname, err) |
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445 | return |
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446 | else: |
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447 | print "Invalid image type. Valid types are:" |
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448 | print "'ps', 'eps', 'png'" |
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449 | |
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450 | |
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451 | def set_axes(self, what=None, *args, **kwargs): |
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452 | """ |
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453 | Set attributes for the axes by calling the relevant Axes.set_*() |
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454 | method. Colour translation is done as described in the doctext |
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455 | for palette(). |
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456 | """ |
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457 | |
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458 | if what is None: return |
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459 | if what[-6:] == 'colour': what = what[:-6] + 'color' |
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460 | |
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461 | key = "colour" |
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462 | if kwargs.has_key(key): |
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463 | val = kwargs.pop(key) |
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464 | kwargs["color"] = val |
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465 | |
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466 | getattr(self.axes, "set_%s"%what)(*args, **kwargs) |
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467 | |
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468 | self.show(hardrefresh=False) |
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469 | |
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470 | |
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471 | def set_figure(self, what=None, *args, **kwargs): |
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472 | """ |
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473 | Set attributes for the figure by calling the relevant Figure.set_*() |
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474 | method. Colour translation is done as described in the doctext |
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475 | for palette(). |
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476 | """ |
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477 | |
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478 | if what is None: return |
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479 | if what[-6:] == 'colour': what = what[:-6] + 'color' |
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480 | #if what[-5:] == 'color' and len(args): |
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481 | # args = (get_colour(args[0]),) |
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482 | |
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483 | newargs = {} |
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484 | for k, v in kwargs.iteritems(): |
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485 | k = k.lower() |
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486 | if k == 'colour': k = 'color' |
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487 | newargs[k] = v |
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488 | |
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489 | getattr(self.figure, "set_%s"%what)(*args, **newargs) |
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490 | self.show(hardrefresh=False) |
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491 | |
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492 | |
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493 | def set_limits(self, xlim=None, ylim=None): |
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494 | """ |
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495 | Set x-, and y-limits for each subplot. |
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496 | |
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497 | xlim = [xmin, xmax] as in axes.set_xlim(). |
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498 | ylim = [ymin, ymax] as in axes.set_ylim(). |
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499 | """ |
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500 | for s in self.subplots: |
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501 | self.axes = s['axes'] |
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502 | self.lines = s['lines'] |
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503 | oldxlim = list(self.axes.get_xlim()) |
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504 | oldylim = list(self.axes.get_ylim()) |
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505 | if xlim is not None: |
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506 | for i in range(len(xlim)): |
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507 | if xlim[i] is not None: |
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508 | oldxlim[i] = xlim[i] |
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509 | if ylim is not None: |
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510 | for i in range(len(ylim)): |
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511 | if ylim[i] is not None: |
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512 | oldylim[i] = ylim[i] |
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513 | self.axes.set_xlim(oldxlim) |
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514 | self.axes.set_ylim(oldylim) |
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515 | return |
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516 | |
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517 | |
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518 | def set_line(self, number=None, **kwargs): |
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519 | """ |
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520 | Set attributes for the specified line, or else the next line(s) |
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521 | to be plotted. |
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522 | |
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523 | number is the 0-relative number of a line that has already been |
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524 | plotted. If no such line exists, attributes are recorded and used |
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525 | for the next line(s) to be plotted. |
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526 | |
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527 | Keyword arguments specify Line2D attributes, e.g. color='r'. Do |
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528 | |
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529 | import matplotlib |
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530 | help(matplotlib.lines) |
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531 | |
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532 | The set_* methods of class Line2D define the attribute names and |
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533 | values. For non-US usage, "colour" is recognized as synonymous with |
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534 | "color". |
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535 | |
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536 | Set the value to None to delete an attribute. |
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537 | |
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538 | Colour translation is done as described in the doctext for palette(). |
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539 | """ |
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540 | |
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541 | redraw = False |
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542 | for k, v in kwargs.iteritems(): |
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543 | k = k.lower() |
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544 | if k == 'colour': k = 'color' |
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545 | |
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546 | if 0 <= number < len(self.lines): |
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547 | if self.lines[number] is not None: |
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548 | for line in self.lines[number]: |
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549 | getattr(line, "set_%s"%k)(v) |
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550 | redraw = True |
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551 | else: |
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552 | if v is None: |
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553 | del self.attributes[k] |
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554 | else: |
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555 | self.attributes[k] = v |
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556 | |
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557 | if redraw: self.show(hardrefresh=False) |
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558 | |
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559 | |
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560 | def set_panels(self, rows=1, cols=0, n=-1, nplots=-1, ganged=True): |
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561 | """ |
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562 | Set the panel layout. |
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563 | |
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564 | rows and cols, if cols != 0, specify the number of rows and columns in |
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565 | a regular layout. (Indexing of these panels in matplotlib is row- |
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566 | major, i.e. column varies fastest.) |
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567 | |
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568 | cols == 0 is interpreted as a retangular layout that accomodates |
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569 | 'rows' panels, e.g. rows == 6, cols == 0 is equivalent to |
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570 | rows == 2, cols == 3. |
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571 | |
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572 | 0 <= n < rows*cols is interpreted as the 0-relative panel number in |
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573 | the configuration specified by rows and cols to be added to the |
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574 | current figure as its next 0-relative panel number (i). This allows |
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575 | non-regular panel layouts to be constructed via multiple calls. Any |
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576 | other value of n clears the plot and produces a rectangular array of |
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577 | empty panels. The number of these may be limited by nplots. |
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578 | """ |
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579 | if n < 0 and len(self.subplots): |
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580 | self.figure.clear() |
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581 | self.set_title() |
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582 | |
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583 | if rows < 1: rows = 1 |
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584 | |
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585 | if cols <= 0: |
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586 | i = int(sqrt(rows)) |
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587 | if i*i < rows: i += 1 |
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588 | cols = i |
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589 | |
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590 | if i*(i-1) >= rows: i -= 1 |
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591 | rows = i |
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592 | |
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593 | if 0 <= n < rows*cols: |
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594 | i = len(self.subplots) |
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595 | self.subplots.append({}) |
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596 | |
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597 | self.subplots[i]['axes'] = self.figure.add_subplot(rows, |
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598 | cols, n+1) |
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599 | self.subplots[i]['lines'] = [] |
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600 | |
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601 | if i == 0: self.subplot(0) |
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602 | |
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603 | self.rows = 0 |
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604 | self.cols = 0 |
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605 | |
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606 | else: |
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607 | self.subplots = [] |
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608 | |
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609 | if nplots < 1 or rows*cols < nplots: |
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610 | nplots = rows*cols |
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611 | if ganged: |
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612 | hsp,wsp = None,None |
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613 | if rows > 1: hsp = 0.0001 |
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614 | if cols > 1: wsp = 0.0001 |
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615 | self.figure.subplots_adjust(wspace=wsp,hspace=hsp) |
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616 | for i in range(nplots): |
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617 | self.subplots.append({}) |
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618 | self.subplots[i]['lines'] = [] |
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619 | if not ganged: |
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620 | self.subplots[i]['axes'] = self.figure.add_subplot(rows, |
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621 | cols, i+1) |
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622 | if asaprcParams['plotter.xaxisformatting'] == 'mpl': |
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623 | self.subplots[i]['axes'].xaxis.set_major_formatter(OldScalarFormatter()) |
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624 | else: |
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625 | if i == 0: |
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626 | self.subplots[i]['axes'] = self.figure.add_subplot(rows, |
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627 | cols, i+1) |
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628 | if asaprcParams['plotter.xaxisformatting'] != 'mpl': |
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629 | |
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630 | self.subplots[i]['axes'].xaxis.set_major_formatter(OldScalarFormatter()) |
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631 | else: |
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632 | self.subplots[i]['axes'] = self.figure.add_subplot(rows, |
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633 | cols, i+1, |
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634 | sharex=self.subplots[0]['axes'], |
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635 | sharey=self.subplots[0]['axes']) |
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636 | |
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637 | # Suppress tick labelling for interior subplots. |
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638 | if i <= (rows-1)*cols - 1: |
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639 | if i+cols < nplots: |
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640 | # Suppress x-labels for frames width |
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641 | # adjacent frames |
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642 | for tick in self.subplots[i]['axes'].xaxis.majorTicks: |
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643 | tick.label1On = False |
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644 | self.subplots[i]['axes'].xaxis.label.set_visible(False) |
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645 | if i%cols: |
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646 | # Suppress y-labels for frames not in the left column. |
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647 | for tick in self.subplots[i]['axes'].yaxis.majorTicks: |
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648 | tick.label1On = False |
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649 | self.subplots[i]['axes'].yaxis.label.set_visible(False) |
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650 | # disable the first tick of [1:ncol-1] of the last row |
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651 | #if i+1 < nplots: |
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652 | # self.subplots[i]['axes'].xaxis.majorTicks[0].label1On = False |
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653 | self.rows = rows |
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654 | self.cols = cols |
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655 | self.subplot(0) |
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656 | |
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657 | def tidy(self): |
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658 | # this needs to be exceuted after the first "refresh" |
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659 | nplots = len(self.subplots) |
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660 | if nplots == 1: return |
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661 | for i in xrange(nplots): |
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662 | ax = self.subplots[i]['axes'] |
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663 | if i%self.cols: |
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664 | ax.xaxis.majorTicks[0].label1On = False |
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665 | else: |
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666 | if i != 0: |
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667 | ax.yaxis.majorTicks[-1].label1On = False |
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668 | |
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669 | |
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670 | def set_title(self, title=None): |
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671 | """ |
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672 | Set the title of the plot window. Use the previous title if title is |
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673 | omitted. |
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674 | """ |
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675 | if title is not None: |
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676 | self.title = title |
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677 | |
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678 | self.figure.text(0.5, 0.95, self.title, horizontalalignment='center') |
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679 | |
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680 | |
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681 | def show(self, hardrefresh=True): |
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682 | """ |
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683 | Show graphics dependent on the current buffering state. |
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684 | """ |
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685 | if not hardrefresh: return |
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686 | if not self.buffering: |
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687 | if self.loc is not None: |
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688 | for sp in self.subplots: |
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689 | lines = [] |
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690 | labels = [] |
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691 | i = 0 |
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692 | for line in sp['lines']: |
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693 | i += 1 |
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694 | if line is not None: |
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695 | lines.append(line[0]) |
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696 | lbl = line[0].get_label() |
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697 | if lbl == '': |
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698 | lbl = str(i) |
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699 | labels.append(lbl) |
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700 | |
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701 | if len(lines): |
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702 | fp = FP(size=rcParams['legend.fontsize']) |
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703 | fsz = fp.get_size_in_points() - len(lines) |
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704 | fp.set_size(max(fsz,6)) |
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705 | sp['axes'].legend(tuple(lines), tuple(labels), |
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706 | self.loc, prop=fp) |
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707 | else: |
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708 | sp['axes'].legend((' ')) |
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709 | |
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710 | from matplotlib.artist import setp |
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711 | fp = FP(size=rcParams['xtick.labelsize']) |
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712 | xts = fp.get_size_in_points()- (self.cols)/2 |
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713 | fp = FP(size=rcParams['ytick.labelsize']) |
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714 | yts = fp.get_size_in_points() - (self.rows)/2 |
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715 | for sp in self.subplots: |
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716 | ax = sp['axes'] |
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717 | s = ax.title.get_size() |
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718 | tsize = s-(self.cols+self.rows) |
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719 | ax.title.set_size(tsize) |
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720 | fp = FP(size=rcParams['axes.labelsize']) |
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721 | setp(ax.get_xticklabels(), fontsize=xts) |
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722 | setp(ax.get_yticklabels(), fontsize=yts) |
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723 | origx = fp.get_size_in_points() |
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724 | origy = origx |
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725 | off = 0 |
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726 | if self.cols > 1: off = self.cols |
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727 | xfsize = origx-off |
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728 | ax.xaxis.label.set_size(xfsize) |
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729 | off = 0 |
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730 | if self.rows > 1: off = self.rows |
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731 | yfsize = origy-off |
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732 | ax.yaxis.label.set_size(yfsize) |
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733 | |
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734 | def subplot(self, i=None, inc=None): |
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735 | """ |
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736 | Set the subplot to the 0-relative panel number as defined by one or |
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737 | more invokations of set_panels(). |
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738 | """ |
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739 | l = len(self.subplots) |
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740 | if l: |
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741 | if i is not None: |
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742 | self.i = i |
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743 | |
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744 | if inc is not None: |
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745 | self.i += inc |
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746 | |
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747 | self.i %= l |
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748 | self.axes = self.subplots[self.i]['axes'] |
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749 | self.lines = self.subplots[self.i]['lines'] |
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750 | |
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751 | def text(self, *args, **kwargs): |
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752 | """ |
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753 | Add text to the figure. |
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754 | """ |
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755 | self.figure.text(*args, **kwargs) |
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756 | self.show() |
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757 | |
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758 | def vline_with_label(self, x, y, label, |
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759 | location='bottom', rotate=0.0, **kwargs): |
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760 | """ |
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761 | Plot a vertical line with label. |
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762 | It takes "world" values fo x and y. |
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763 | """ |
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764 | ax = self.axes |
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765 | # need this to suppress autoscaling during this function |
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766 | self.axes.set_autoscale_on(False) |
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767 | ymin = 0.0 |
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768 | ymax = 1.0 |
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769 | valign = 'center' |
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770 | if location.lower() == 'top': |
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771 | y = max(0.0, y) |
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772 | elif location.lower() == 'bottom': |
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773 | y = min(0.0, y) |
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774 | lbloffset = 0.06 |
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775 | # a rough estimate for the bb of the text |
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776 | if rotate > 0.0: lbloffset = 0.03*len(label) |
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777 | peakoffset = 0.01 |
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778 | xy0 = ax.transData.xy_tup((x,y)) |
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779 | # get relative coords |
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780 | xy = ax.transAxes.inverse_xy_tup(xy0) |
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781 | if location.lower() == 'top': |
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782 | ymax = 1.0-lbloffset |
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783 | ymin = xy[1]+peakoffset |
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784 | valign = 'bottom' |
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785 | ylbl = ymax+0.01 |
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786 | elif location.lower() == 'bottom': |
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787 | ymin = lbloffset |
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788 | ymax = xy[1]-peakoffset |
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789 | valign = 'top' |
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790 | ylbl = ymin-0.01 |
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791 | trans = blended_transform_factory(ax.transData, ax.transAxes) |
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792 | l = ax.axvline(x, ymin, ymax, color='black', **kwargs) |
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793 | t = ax.text(x, ylbl ,label, verticalalignment=valign, |
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794 | horizontalalignment='center', |
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795 | rotation=rotate,transform = trans) |
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796 | self.axes.set_autoscale_on(True) |
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