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 |
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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 ScalarFormatter |
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16 | from matplotlib.ticker import NullLocator |
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17 | |
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18 | class MyFormatter(ScalarFormatter): |
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19 | def __call__(self, x, pos=None): |
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20 | #last = len(self.locs)-2 |
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21 | if pos==0: |
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22 | return '' |
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23 | else: return ScalarFormatter.__call__(self, x, pos) |
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24 | |
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25 | class asaplotbase: |
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26 | """ |
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27 | ASAP plotting base class based on matplotlib. |
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28 | """ |
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29 | |
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30 | def __init__(self, rows=1, cols=0, title='', size=(8,6), buffering=False): |
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31 | """ |
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32 | Create a new instance of the ASAPlot plotting class. |
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33 | |
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34 | If rows < 1 then a separate call to set_panels() is required to define |
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35 | the panel layout; refer to the doctext for set_panels(). |
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36 | """ |
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37 | self.is_dead = False |
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38 | self.figure = Figure(figsize=size, facecolor='#ddddee') |
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39 | self.canvas = None |
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40 | |
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41 | self.set_title(title) |
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42 | self.subplots = [] |
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43 | if rows > 0: |
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44 | self.set_panels(rows, cols) |
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45 | |
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46 | # Set matplotlib default colour sequence. |
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47 | self.colormap = "green red black cyan magenta orange blue purple yellow pink".split() |
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48 | |
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49 | c = asaprcParams['plotter.colours'] |
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50 | if isinstance(c,str) and len(c) > 0: |
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51 | self.colormap = c.split() |
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52 | |
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53 | self.lsalias = {"line": [1,0], |
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54 | "dashdot": [4,2,1,2], |
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55 | "dashed" : [4,2,4,2], |
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56 | "dotted" : [1,2], |
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57 | "dashdotdot": [4,2,1,2,1,2], |
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58 | "dashdashdot": [4,2,4,2,1,2] |
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59 | } |
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60 | |
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61 | styles = "line dashed dotted dashdot".split() |
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62 | c = asaprcParams['plotter.linestyles'] |
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63 | if isinstance(c,str) and len(c) > 0: |
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64 | styles = c.split() |
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65 | s = [] |
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66 | for ls in styles: |
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67 | if self.lsalias.has_key(ls): |
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68 | s.append(self.lsalias.get(ls)) |
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69 | else: |
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70 | s.append('-') |
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71 | self.linestyles = s |
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72 | |
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73 | self.color = 0; |
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74 | self.linestyle = 0; |
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75 | self.attributes = {} |
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76 | self.loc = 0 |
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77 | |
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78 | self.buffering = buffering |
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79 | |
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80 | def clear(self): |
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81 | """ |
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82 | Delete all lines from the plot. Line numbering will restart from 1. |
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83 | """ |
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84 | |
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85 | for i in range(len(self.lines)): |
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86 | self.delete(i) |
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87 | self.axes.clear() |
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88 | self.color = 0 |
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89 | self.lines = [] |
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90 | |
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91 | def palette(self, color, colormap=None, linestyle=0, linestyles=None): |
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92 | if colormap: |
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93 | if isinstance(colormap,list): |
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94 | self.colormap = colormap |
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95 | elif isinstance(colormap,str): |
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96 | self.colormap = colormap.split() |
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97 | if 0 <= color < len(self.colormap): |
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98 | self.color = color |
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99 | if linestyles: |
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100 | self.linestyles = [] |
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101 | if isinstance(linestyles,list): |
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102 | styles = linestyles |
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103 | elif isinstance(linestyles,str): |
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104 | styles = linestyles.split() |
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105 | for ls in styles: |
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106 | if self.lsalias.has_key(ls): |
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107 | self.linestyles.append(self.lsalias.get(ls)) |
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108 | else: |
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109 | self.linestyles.append(self.lsalias.get('line')) |
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110 | if 0 <= linestyle < len(self.linestyles): |
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111 | self.linestyle = linestyle |
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112 | |
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113 | def delete(self, numbers=None): |
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114 | """ |
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115 | Delete the 0-relative line number, default is to delete the last. |
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116 | The remaining lines are NOT renumbered. |
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117 | """ |
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118 | |
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119 | if numbers is None: numbers = [len(self.lines)-1] |
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120 | |
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121 | if not hasattr(numbers, '__iter__'): |
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122 | numbers = [numbers] |
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123 | |
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124 | for number in numbers: |
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125 | if 0 <= number < len(self.lines): |
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126 | if self.lines[number] is not None: |
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127 | for line in self.lines[number]: |
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128 | line.set_linestyle('None') |
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129 | self.lines[number] = None |
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130 | self.show() |
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131 | |
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132 | def get_line(self): |
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133 | """ |
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134 | Get the current default line attributes. |
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135 | """ |
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136 | return self.attributes |
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137 | |
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138 | |
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139 | def hist(self, x=None, y=None, msk=None, fmt=None, add=None): |
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140 | """ |
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141 | Plot a histogram. N.B. the x values refer to the start of the |
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142 | histogram bin. |
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143 | |
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144 | fmt is the line style as in plot(). |
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145 | """ |
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146 | |
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147 | if x is None: |
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148 | if y is None: return |
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149 | x = range(len(y)) |
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150 | |
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151 | if len(x) != len(y): |
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152 | return |
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153 | l2 = 2*len(x) |
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154 | x2 = range(l2) |
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155 | y2 = range(l2) |
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156 | m2 = range(l2) |
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157 | |
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158 | for i in range(l2): |
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159 | x2[i] = x[i/2] |
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160 | m2[i] = msk[i/2] |
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161 | |
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162 | y2[0] = 0.0 |
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163 | for i in range(1,l2): |
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164 | y2[i] = y[(i-1)/2] |
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165 | |
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166 | self.plot(x2, y2, m2, fmt, add) |
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167 | |
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168 | |
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169 | def hold(self, hold=True): |
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170 | """ |
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171 | Buffer graphics until subsequently released. |
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172 | """ |
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173 | self.buffering = hold |
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174 | |
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175 | |
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176 | def legend(self, loc=None): |
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177 | """ |
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178 | Add a legend to the plot. |
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179 | |
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180 | Any other value for loc else disables the legend: |
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181 | 1: upper right |
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182 | 2: upper left |
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183 | 3: lower left |
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184 | 4: lower right |
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185 | 5: right |
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186 | 6: center left |
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187 | 7: center right |
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188 | 8: lower center |
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189 | 9: upper center |
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190 | 10: center |
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191 | |
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192 | """ |
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193 | if isinstance(loc,int): |
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194 | if 0 > loc > 10: loc = 0 |
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195 | self.loc = loc |
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196 | self.show() |
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197 | |
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198 | |
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199 | def plot(self, x=None, y=None, mask=None, fmt=None, add=None): |
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200 | """ |
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201 | Plot the next line in the current frame using the current line |
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202 | attributes. The ASAPlot graphics window will be mapped and raised. |
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203 | |
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204 | The argument list works a bit like the matlab plot() function. |
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205 | """ |
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206 | if x is None: |
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207 | if y is None: return |
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208 | x = range(len(y)) |
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209 | |
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210 | elif y is None: |
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211 | y = x |
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212 | x = range(len(y)) |
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213 | |
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214 | ax = self.axes |
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215 | s = ax.title.get_size() |
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216 | tsize = s-(self.cols+self.rows)/2 |
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217 | ax.title.set_size(tsize) |
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218 | origx = ax.xaxis.label.get_size() #rcParams['xtick.labelsize'] |
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219 | origy = ax.yaxis.label.get_size() #rcParams['ytick.labelsize'] |
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220 | if self.cols > 1: |
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221 | xfsize = origx-(self.cols)/2 |
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222 | #rc('xtick',labelsize=xfsize) |
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223 | ax.xaxis.label.set_size(xfsize) |
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224 | if self.rows > 1: |
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225 | yfsize = origy-(self.rows)/2 |
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226 | #rc('ytick',labelsize=yfsize) |
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227 | ax.yaxis.label.set_size(yfsize) |
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228 | if mask is None: |
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229 | if fmt is None: |
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230 | line = self.axes.plot(x, y) |
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231 | else: |
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232 | line = self.axes.plot(x, y, fmt) |
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233 | else: |
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234 | segments = [] |
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235 | |
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236 | mask = list(mask) |
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237 | i = 0 |
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238 | while mask[i:].count(1): |
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239 | i += mask[i:].index(1) |
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240 | if mask[i:].count(0): |
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241 | j = i + mask[i:].index(0) |
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242 | else: |
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243 | j = len(mask) |
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244 | |
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245 | segments.append(x[i:j]) |
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246 | segments.append(y[i:j]) |
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247 | |
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248 | i = j |
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249 | |
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250 | line = self.axes.plot(*segments) |
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251 | #rc('xtick',labelsize=origx) |
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252 | #rc('ytick',labelsize=origy) |
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253 | |
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254 | # Add to an existing line? |
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255 | if add is None or len(self.lines) < add < 0: |
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256 | # Don't add. |
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257 | self.lines.append(line) |
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258 | i = len(self.lines) - 1 |
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259 | else: |
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260 | if add == 0: add = len(self.lines) |
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261 | i = add - 1 |
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262 | self.lines[i].extend(line) |
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263 | |
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264 | # Set/reset attributes for the line. |
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265 | gotcolour = False |
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266 | for k, v in self.attributes.iteritems(): |
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267 | if k == 'color': gotcolour = True |
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268 | for segment in self.lines[i]: |
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269 | getattr(segment, "set_%s"%k)(v) |
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270 | |
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271 | if not gotcolour and len(self.colormap): |
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272 | for segment in self.lines[i]: |
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273 | getattr(segment, "set_color")(self.colormap[self.color]) |
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274 | if len(self.colormap) == 1: |
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275 | getattr(segment, "set_dashes")(self.linestyles[self.linestyle]) |
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276 | self.color += 1 |
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277 | if self.color >= len(self.colormap): |
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278 | self.color = 0 |
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279 | |
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280 | if len(self.colormap) == 1: |
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281 | self.linestyle += 1 |
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282 | if self.linestyle >= len(self.linestyles): |
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283 | self.linestyle = 0 |
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284 | |
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285 | self.show() |
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286 | |
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287 | |
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288 | def position(self): |
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289 | """ |
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290 | Use the mouse to get a position from a graph. |
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291 | """ |
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292 | |
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293 | def position_disable(event): |
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294 | self.register('button_press', None) |
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295 | print '%.4f, %.4f' % (event.xdata, event.ydata) |
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296 | |
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297 | print 'Press any mouse button...' |
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298 | self.register('button_press', position_disable) |
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299 | |
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300 | |
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301 | def region(self): |
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302 | """ |
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303 | Use the mouse to get a rectangular region from a plot. |
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304 | |
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305 | The return value is [x0, y0, x1, y1] in world coordinates. |
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306 | """ |
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307 | |
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308 | def region_start(event): |
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309 | height = self.canvas.figure.bbox.height() |
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310 | self.rect = {'fig': None, 'height': height, |
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311 | 'x': event.x, 'y': height - event.y, |
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312 | 'world': [event.xdata, event.ydata, |
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313 | event.xdata, event.ydata]} |
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314 | self.register('button_press', None) |
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315 | self.register('motion_notify', region_draw) |
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316 | self.register('button_release', region_disable) |
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317 | |
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318 | def region_draw(event): |
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319 | self.canvas._tkcanvas.delete(self.rect['fig']) |
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320 | self.rect['fig'] = self.canvas._tkcanvas.create_rectangle( |
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321 | self.rect['x'], self.rect['y'], |
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322 | event.x, self.rect['height'] - event.y) |
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323 | |
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324 | def region_disable(event): |
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325 | self.register('motion_notify', None) |
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326 | self.register('button_release', None) |
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327 | |
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328 | self.canvas._tkcanvas.delete(self.rect['fig']) |
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329 | |
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330 | self.rect['world'][2:4] = [event.xdata, event.ydata] |
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331 | print '(%.2f, %.2f) (%.2f, %.2f)' % (self.rect['world'][0], |
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332 | self.rect['world'][1], self.rect['world'][2], |
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333 | self.rect['world'][3]) |
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334 | |
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335 | self.register('button_press', region_start) |
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336 | |
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337 | # This has to be modified to block and return the result (currently |
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338 | # printed by region_disable) when that becomes possible in matplotlib. |
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339 | |
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340 | return [0.0, 0.0, 0.0, 0.0] |
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341 | |
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342 | |
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343 | def register(self, type=None, func=None): |
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344 | """ |
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345 | Register, reregister, or deregister events of type 'button_press', |
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346 | 'button_release', or 'motion_notify'. |
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347 | |
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348 | The specified callback function should have the following signature: |
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349 | |
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350 | def func(event) |
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351 | |
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352 | where event is an MplEvent instance containing the following data: |
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353 | |
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354 | name # Event name. |
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355 | canvas # FigureCanvas instance generating the event. |
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356 | x = None # x position - pixels from left of canvas. |
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357 | y = None # y position - pixels from bottom of canvas. |
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358 | button = None # Button pressed: None, 1, 2, 3. |
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359 | key = None # Key pressed: None, chr(range(255)), shift, |
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360 | win, or control |
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361 | inaxes = None # Axes instance if cursor within axes. |
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362 | xdata = None # x world coordinate. |
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363 | ydata = None # y world coordinate. |
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364 | |
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365 | For example: |
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366 | |
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367 | def mouse_move(event): |
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368 | print event.xdata, event.ydata |
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369 | |
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370 | a = asaplot() |
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371 | a.register('motion_notify', mouse_move) |
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372 | |
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373 | If func is None, the event is deregistered. |
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374 | |
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375 | Note that in TkAgg keyboard button presses don't generate an event. |
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376 | """ |
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377 | |
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378 | if not self.events.has_key(type): return |
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379 | |
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380 | if func is None: |
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381 | if self.events[type] is not None: |
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382 | # It's not clear that this does anything. |
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383 | self.canvas.mpl_disconnect(self.events[type]) |
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384 | self.events[type] = None |
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385 | |
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386 | # It seems to be necessary to return events to the toolbar. |
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387 | if type == 'motion_notify': |
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388 | self.canvas.mpl_connect(type + '_event', |
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389 | self.figmgr.toolbar.mouse_move) |
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390 | elif type == 'button_press': |
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391 | self.canvas.mpl_connect(type + '_event', |
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392 | self.figmgr.toolbar.press) |
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393 | elif type == 'button_release': |
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394 | self.canvas.mpl_connect(type + '_event', |
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395 | self.figmgr.toolbar.release) |
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396 | |
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397 | else: |
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398 | self.events[type] = self.canvas.mpl_connect(type + '_event', func) |
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399 | |
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400 | |
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401 | def release(self): |
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402 | """ |
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403 | Release buffered graphics. |
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404 | """ |
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405 | self.buffering = False |
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406 | self.show() |
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407 | |
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408 | |
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409 | def save(self, fname=None, orientation=None, dpi=None): |
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410 | """ |
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411 | Save the plot to a file. |
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412 | |
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413 | fname is the name of the output file. The image format is determined |
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414 | from the file suffix; 'png', 'ps', and 'eps' are recognized. If no |
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415 | file name is specified 'yyyymmdd_hhmmss.png' is created in the current |
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416 | directory. |
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417 | """ |
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418 | if fname is None: |
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419 | from datetime import datetime |
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420 | dstr = datetime.now().strftime('%Y%m%d_%H%M%S') |
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421 | fname = 'asap'+dstr+'.png' |
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422 | |
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423 | d = ['png','.ps','eps'] |
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424 | |
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425 | from os.path import expandvars |
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426 | fname = expandvars(fname) |
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427 | |
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428 | if fname[-3:].lower() in d: |
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429 | try: |
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430 | if fname[-3:].lower() == ".ps": |
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431 | from matplotlib import __version__ as mv |
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432 | w = self.figure.figwidth.get() |
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433 | h = self.figure.figheight.get() |
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434 | |
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435 | if orientation is None: |
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436 | # auto oriented |
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437 | if w > h: |
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438 | orientation = 'landscape' |
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439 | else: |
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440 | orientation = 'portrait' |
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441 | a4w = 8.25 |
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442 | a4h = 11.25 |
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443 | ds = None |
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444 | if orientation == 'landscape': |
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445 | ds = min(a4h/w,a4w/h) |
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446 | else: |
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447 | ds = min(a4w/w,a4h/h) |
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448 | ow = ds * w |
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449 | oh = ds * h |
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450 | self.figure.set_figsize_inches((ow,oh)) |
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451 | from matplotlib import __version__ as mv |
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452 | # hack to circument ps bug in eraly versions of mpl |
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453 | if int(mv.split(".")[1]) < 87: |
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454 | self.figure.savefig(fname, orientation=orientation) |
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455 | else: |
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456 | self.figure.savefig(fname, orientation=orientation, |
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457 | papertype="a4") |
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458 | self.figure.set_figsize_inches((w,h)) |
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459 | print 'Written file %s' % (fname) |
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460 | else: |
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461 | if dpi is None: |
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462 | dpi =150 |
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463 | self.figure.savefig(fname,dpi=dpi) |
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464 | print 'Written file %s' % (fname) |
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465 | except IOError, msg: |
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466 | print 'Failed to save %s: Error msg was\n\n%s' % (fname, err) |
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467 | return |
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468 | else: |
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469 | print "Invalid image type. Valid types are:" |
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470 | print "'ps', 'eps', 'png'" |
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471 | |
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472 | |
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473 | def set_axes(self, what=None, *args, **kwargs): |
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474 | """ |
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475 | Set attributes for the axes by calling the relevant Axes.set_*() |
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476 | method. Colour translation is done as described in the doctext |
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477 | for palette(). |
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478 | """ |
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479 | |
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480 | if what is None: return |
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481 | if what[-6:] == 'colour': what = what[:-6] + 'color' |
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482 | |
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483 | newargs = {} |
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484 | |
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485 | for k, v in kwargs.iteritems(): |
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486 | k = k.lower() |
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487 | if k == 'colour': k = 'color' |
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488 | newargs[k] = v |
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489 | |
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490 | getattr(self.axes, "set_%s"%what)(*args, **newargs) |
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491 | |
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492 | self.show() |
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493 | |
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494 | |
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495 | def set_figure(self, what=None, *args, **kwargs): |
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496 | """ |
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497 | Set attributes for the figure by calling the relevant Figure.set_*() |
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498 | method. Colour translation is done as described in the doctext |
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499 | for palette(). |
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500 | """ |
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501 | |
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502 | if what is None: return |
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503 | if what[-6:] == 'colour': what = what[:-6] + 'color' |
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504 | #if what[-5:] == 'color' and len(args): |
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505 | # args = (get_colour(args[0]),) |
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506 | |
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507 | newargs = {} |
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508 | for k, v in kwargs.iteritems(): |
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509 | k = k.lower() |
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510 | if k == 'colour': k = 'color' |
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511 | newargs[k] = v |
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512 | |
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513 | getattr(self.figure, "set_%s"%what)(*args, **newargs) |
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514 | self.show() |
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515 | |
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516 | |
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517 | def set_limits(self, xlim=None, ylim=None): |
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518 | """ |
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519 | Set x-, and y-limits for each subplot. |
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520 | |
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521 | xlim = [xmin, xmax] as in axes.set_xlim(). |
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522 | ylim = [ymin, ymax] as in axes.set_ylim(). |
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523 | """ |
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524 | for s in self.subplots: |
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525 | self.axes = s['axes'] |
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526 | self.lines = s['lines'] |
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527 | oldxlim = list(self.axes.get_xlim()) |
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528 | oldylim = list(self.axes.get_ylim()) |
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529 | if xlim is not None: |
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530 | for i in range(len(xlim)): |
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531 | if xlim[i] is not None: |
---|
532 | oldxlim[i] = xlim[i] |
---|
533 | if ylim is not None: |
---|
534 | for i in range(len(ylim)): |
---|
535 | if ylim[i] is not None: |
---|
536 | oldylim[i] = ylim[i] |
---|
537 | self.axes.set_xlim(oldxlim) |
---|
538 | self.axes.set_ylim(oldylim) |
---|
539 | return |
---|
540 | |
---|
541 | |
---|
542 | def set_line(self, number=None, **kwargs): |
---|
543 | """ |
---|
544 | Set attributes for the specified line, or else the next line(s) |
---|
545 | to be plotted. |
---|
546 | |
---|
547 | number is the 0-relative number of a line that has already been |
---|
548 | plotted. If no such line exists, attributes are recorded and used |
---|
549 | for the next line(s) to be plotted. |
---|
550 | |
---|
551 | Keyword arguments specify Line2D attributes, e.g. color='r'. Do |
---|
552 | |
---|
553 | import matplotlib |
---|
554 | help(matplotlib.lines) |
---|
555 | |
---|
556 | The set_* methods of class Line2D define the attribute names and |
---|
557 | values. For non-US usage, "colour" is recognized as synonymous with |
---|
558 | "color". |
---|
559 | |
---|
560 | Set the value to None to delete an attribute. |
---|
561 | |
---|
562 | Colour translation is done as described in the doctext for palette(). |
---|
563 | """ |
---|
564 | |
---|
565 | redraw = False |
---|
566 | for k, v in kwargs.iteritems(): |
---|
567 | k = k.lower() |
---|
568 | if k == 'colour': k = 'color' |
---|
569 | |
---|
570 | if 0 <= number < len(self.lines): |
---|
571 | if self.lines[number] is not None: |
---|
572 | for line in self.lines[number]: |
---|
573 | getattr(line, "set_%s"%k)(v) |
---|
574 | redraw = True |
---|
575 | else: |
---|
576 | if v is None: |
---|
577 | del self.attributes[k] |
---|
578 | else: |
---|
579 | self.attributes[k] = v |
---|
580 | |
---|
581 | if redraw: self.show() |
---|
582 | |
---|
583 | |
---|
584 | def set_panels(self, rows=1, cols=0, n=-1, nplots=-1, ganged=True): |
---|
585 | """ |
---|
586 | Set the panel layout. |
---|
587 | |
---|
588 | rows and cols, if cols != 0, specify the number of rows and columns in |
---|
589 | a regular layout. (Indexing of these panels in matplotlib is row- |
---|
590 | major, i.e. column varies fastest.) |
---|
591 | |
---|
592 | cols == 0 is interpreted as a retangular layout that accomodates |
---|
593 | 'rows' panels, e.g. rows == 6, cols == 0 is equivalent to |
---|
594 | rows == 2, cols == 3. |
---|
595 | |
---|
596 | 0 <= n < rows*cols is interpreted as the 0-relative panel number in |
---|
597 | the configuration specified by rows and cols to be added to the |
---|
598 | current figure as its next 0-relative panel number (i). This allows |
---|
599 | non-regular panel layouts to be constructed via multiple calls. Any |
---|
600 | other value of n clears the plot and produces a rectangular array of |
---|
601 | empty panels. The number of these may be limited by nplots. |
---|
602 | """ |
---|
603 | if n < 0 and len(self.subplots): |
---|
604 | self.figure.clear() |
---|
605 | self.set_title() |
---|
606 | |
---|
607 | if rows < 1: rows = 1 |
---|
608 | |
---|
609 | if cols <= 0: |
---|
610 | i = int(sqrt(rows)) |
---|
611 | if i*i < rows: i += 1 |
---|
612 | cols = i |
---|
613 | |
---|
614 | if i*(i-1) >= rows: i -= 1 |
---|
615 | rows = i |
---|
616 | |
---|
617 | if 0 <= n < rows*cols: |
---|
618 | i = len(self.subplots) |
---|
619 | self.subplots.append({}) |
---|
620 | |
---|
621 | self.subplots[i]['axes'] = self.figure.add_subplot(rows, |
---|
622 | cols, n+1) |
---|
623 | self.subplots[i]['lines'] = [] |
---|
624 | |
---|
625 | if i == 0: self.subplot(0) |
---|
626 | |
---|
627 | self.rows = 0 |
---|
628 | self.cols = 0 |
---|
629 | |
---|
630 | else: |
---|
631 | self.subplots = [] |
---|
632 | |
---|
633 | if nplots < 1 or rows*cols < nplots: |
---|
634 | nplots = rows*cols |
---|
635 | if ganged: |
---|
636 | hsp,wsp = None,None |
---|
637 | if rows > 1: hsp = 0.0001 |
---|
638 | if cols > 1: wsp = 0.0001 |
---|
639 | self.figure.subplots_adjust(wspace=wsp,hspace=hsp) |
---|
640 | for i in range(nplots): |
---|
641 | self.subplots.append({}) |
---|
642 | self.subplots[i]['axes'] = self.figure.add_subplot(rows, |
---|
643 | cols, i+1) |
---|
644 | self.subplots[i]['lines'] = [] |
---|
645 | |
---|
646 | if ganged: |
---|
647 | # Suppress tick labelling for interior subplots. |
---|
648 | if i <= (rows-1)*cols - 1: |
---|
649 | if i+cols < nplots: |
---|
650 | # Suppress x-labels for frames width |
---|
651 | # adjacent frames |
---|
652 | self.subplots[i]['axes'].xaxis.set_major_locator(NullLocator()) |
---|
653 | self.subplots[i]['axes'].xaxis.label.set_visible(False) |
---|
654 | if i%cols: |
---|
655 | # Suppress y-labels for frames not in the left column. |
---|
656 | for tick in self.subplots[i]['axes'].yaxis.majorTicks: |
---|
657 | tick.label1On = False |
---|
658 | self.subplots[i]['axes'].yaxis.label.set_visible(False) |
---|
659 | # disable the first tick of [1:ncol-1] of the last row |
---|
660 | if (nplots-cols) < i <= nplots-1: |
---|
661 | self.subplots[i]['axes'].xaxis.set_major_formatter(MyFormatter()) |
---|
662 | self.rows = rows |
---|
663 | self.cols = cols |
---|
664 | self.subplot(0) |
---|
665 | |
---|
666 | def set_title(self, title=None): |
---|
667 | """ |
---|
668 | Set the title of the plot window. Use the previous title if title is |
---|
669 | omitted. |
---|
670 | """ |
---|
671 | if title is not None: |
---|
672 | self.title = title |
---|
673 | |
---|
674 | self.figure.text(0.5, 0.95, self.title, horizontalalignment='center') |
---|
675 | |
---|
676 | |
---|
677 | def show(self): |
---|
678 | """ |
---|
679 | Show graphics dependent on the current buffering state. |
---|
680 | """ |
---|
681 | if not self.buffering: |
---|
682 | if self.loc is not None: |
---|
683 | for j in range(len(self.subplots)): |
---|
684 | lines = [] |
---|
685 | labels = [] |
---|
686 | i = 0 |
---|
687 | for line in self.subplots[j]['lines']: |
---|
688 | i += 1 |
---|
689 | if line is not None: |
---|
690 | lines.append(line[0]) |
---|
691 | lbl = line[0].get_label() |
---|
692 | if lbl == '': |
---|
693 | lbl = str(i) |
---|
694 | labels.append(lbl) |
---|
695 | |
---|
696 | if len(lines): |
---|
697 | self.subplots[j]['axes'].legend(tuple(lines), |
---|
698 | tuple(labels), |
---|
699 | self.loc) |
---|
700 | else: |
---|
701 | self.subplots[j]['axes'].legend((' ')) |
---|
702 | |
---|
703 | |
---|
704 | def subplot(self, i=None, inc=None): |
---|
705 | """ |
---|
706 | Set the subplot to the 0-relative panel number as defined by one or |
---|
707 | more invokations of set_panels(). |
---|
708 | """ |
---|
709 | l = len(self.subplots) |
---|
710 | if l: |
---|
711 | if i is not None: |
---|
712 | self.i = i |
---|
713 | |
---|
714 | if inc is not None: |
---|
715 | self.i += inc |
---|
716 | |
---|
717 | self.i %= l |
---|
718 | self.axes = self.subplots[self.i]['axes'] |
---|
719 | self.lines = self.subplots[self.i]['lines'] |
---|
720 | |
---|
721 | |
---|
722 | def text(self, *args, **kwargs): |
---|
723 | """ |
---|
724 | Add text to the figure. |
---|
725 | """ |
---|
726 | self.figure.text(*args, **kwargs) |
---|
727 | self.show() |
---|