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 |
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17 | # API change in mpl >= 0.98
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18 | try:
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19 | from matplotlib.transforms import blended_transform_factory
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20 | except ImportError:
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21 | from matplotlib.transforms import blend_xy_sep_transform as blended_transform_factory
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22 |
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23 | if int(matplotlib.__version__.split(".")[1]) < 87:
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24 | print "Warning: matplotlib version < 0.87. This might cause errors. Please upgrade."
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25 |
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26 | class asaplotbase:
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27 | """
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28 | ASAP plotting base class based on matplotlib.
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29 | """
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30 |
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31 | def __init__(self, rows=1, cols=0, title='', size=(8,6), buffering=False):
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32 | """
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33 | Create a new instance of the ASAPlot plotting class.
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34 |
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35 | If rows < 1 then a separate call to set_panels() is required to define
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36 | the panel layout; refer to the doctext for set_panels().
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37 | """
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38 | self.is_dead = False
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39 | self.figure = Figure(figsize=size, facecolor='#ddddee')
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40 | self.canvas = None
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41 |
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42 | self.set_title(title)
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43 | self.subplots = []
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44 | if rows > 0:
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45 | self.set_panels(rows, cols)
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46 |
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47 | # Set matplotlib default colour sequence.
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48 | self.colormap = "green red black cyan magenta orange blue purple yellow pink".split()
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49 |
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50 | c = asaprcParams['plotter.colours']
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51 | if isinstance(c,str) and len(c) > 0:
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52 | self.colormap = c.split()
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53 |
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54 | self.lsalias = {"line": [1,0],
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55 | "dashdot": [4,2,1,2],
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56 | "dashed" : [4,2,4,2],
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57 | "dotted" : [1,2],
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58 | "dashdotdot": [4,2,1,2,1,2],
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59 | "dashdashdot": [4,2,4,2,1,2]
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60 | }
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61 |
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62 | styles = "line dashed dotted dashdot".split()
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63 | c = asaprcParams['plotter.linestyles']
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64 | if isinstance(c,str) and len(c) > 0:
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65 | styles = c.split()
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66 | s = []
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67 | for ls in styles:
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68 | if self.lsalias.has_key(ls):
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69 | s.append(self.lsalias.get(ls))
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70 | else:
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71 | s.append('-')
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72 | self.linestyles = s
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73 |
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74 | self.color = 0;
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75 | self.linestyle = 0;
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76 | self.attributes = {}
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77 | self.loc = 0
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78 |
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79 | self.buffering = buffering
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80 |
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81 | def clear(self):
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82 | """
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83 | Delete all lines from the plot. Line numbering will restart from 0.
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84 | """
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85 |
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86 | for i in range(len(self.lines)):
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87 | self.delete(i)
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88 | self.axes.clear()
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89 | self.color = 0
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90 | self.lines = []
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91 |
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92 | def palette(self, color, colormap=None, linestyle=0, linestyles=None):
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93 | if colormap:
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94 | if isinstance(colormap,list):
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95 | self.colormap = colormap
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96 | elif isinstance(colormap,str):
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97 | self.colormap = colormap.split()
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98 | if 0 <= color < len(self.colormap):
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99 | self.color = color
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100 | if linestyles:
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101 | self.linestyles = []
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102 | if isinstance(linestyles,list):
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103 | styles = linestyles
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104 | elif isinstance(linestyles,str):
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105 | styles = linestyles.split()
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106 | for ls in styles:
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107 | if self.lsalias.has_key(ls):
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108 | self.linestyles.append(self.lsalias.get(ls))
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109 | else:
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110 | self.linestyles.append(self.lsalias.get('line'))
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111 | if 0 <= linestyle < len(self.linestyles):
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112 | self.linestyle = linestyle
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113 |
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114 | def delete(self, numbers=None):
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115 | """
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116 | Delete the 0-relative line number, default is to delete the last.
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117 | The remaining lines are NOT renumbered.
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118 | """
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119 |
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120 | if numbers is None: numbers = [len(self.lines)-1]
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121 |
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122 | if not hasattr(numbers, '__iter__'):
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123 | numbers = [numbers]
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124 |
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125 | for number in numbers:
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126 | if 0 <= number < len(self.lines):
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127 | if self.lines[number] is not None:
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128 | for line in self.lines[number]:
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129 | line.set_linestyle('None')
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130 | self.lines[number] = None
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131 | self.show()
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132 |
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133 | def get_line(self):
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134 | """
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135 | Get the current default line attributes.
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136 | """
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137 | return self.attributes
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138 |
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139 |
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140 | def hist(self, x=None, y=None, fmt=None, add=None):
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141 | """
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142 | Plot a histogram. N.B. the x values refer to the start of the
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143 | histogram bin.
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144 |
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145 | fmt is the line style as in plot().
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146 | """
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147 | from matplotlib.numerix import array
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148 | from matplotlib.numerix.ma import MaskedArray
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149 |
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150 | if x is None:
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151 | if y is None: return
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152 | x = range(len(y))
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153 |
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154 | if len(x) != len(y):
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155 | return
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156 | l2 = 2*len(x)
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157 | x2 = range(l2)
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158 | y2 = range(12)
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159 | y2 = range(l2)
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160 | m2 = range(l2)
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161 | ymsk = None
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162 | ydat = None
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163 | if hasattr(y, "raw_mask"):
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164 | # numpy < 1.1
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165 | ymsk = y.raw_mask()
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166 | ydat = y.raw_data()
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167 | else:
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168 | ymsk = y.mask
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169 | ydat = y.data
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170 |
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171 | for i in range(l2):
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172 | x2[i] = x[i/2]
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173 | m2[i] = ymsk[i/2]
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174 |
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175 | y2[0] = 0.0
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176 | for i in range(1,l2):
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177 | y2[i] = ydat[(i-1)/2]
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178 |
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179 | self.plot(x2, MaskedArray(y2,mask=m2,copy=0), fmt, add)
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180 |
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181 |
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182 | def hold(self, hold=True):
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183 | """
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184 | Buffer graphics until subsequently released.
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185 | """
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186 | self.buffering = hold
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187 |
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188 |
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189 | def legend(self, loc=None):
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190 | """
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191 | Add a legend to the plot.
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192 |
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193 | Any other value for loc else disables the legend:
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194 | 1: upper right
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195 | 2: upper left
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196 | 3: lower left
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197 | 4: lower right
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198 | 5: right
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199 | 6: center left
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200 | 7: center right
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201 | 8: lower center
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202 | 9: upper center
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203 | 10: center
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204 |
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205 | """
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206 | if isinstance(loc, int):
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207 | self.loc = None
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208 | if 0 <= loc <= 10: self.loc = loc
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209 | else:
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210 | self.loc = None
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211 | #self.show()
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212 |
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213 |
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214 | def plot(self, x=None, y=None, fmt=None, add=None):
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215 | """
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216 | Plot the next line in the current frame using the current line
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217 | attributes. The ASAPlot graphics window will be mapped and raised.
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218 |
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219 | The argument list works a bit like the matlab plot() function.
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220 | """
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221 | if x is None:
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222 | if y is None: return
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223 | x = range(len(y))
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224 |
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225 | elif y is None:
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226 | y = x
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227 | x = range(len(y))
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228 | if fmt is None:
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229 | line = self.axes.plot(x, y)
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230 | else:
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231 | line = self.axes.plot(x, y, fmt)
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232 |
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233 | # Add to an existing line?
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234 | i = None
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235 | if add is None or len(self.lines) < add < 0:
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236 | # Don't add.
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237 | self.lines.append(line)
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238 | i = len(self.lines) - 1
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239 | else:
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240 | if add == 0: add = len(self.lines)
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241 | i = add - 1
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242 | self.lines[i].extend(line)
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243 |
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244 | # Set/reset attributes for the line.
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245 | gotcolour = False
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246 | for k, v in self.attributes.iteritems():
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247 | if k == 'color': gotcolour = True
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248 | for segment in self.lines[i]:
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249 | getattr(segment, "set_%s"%k)(v)
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250 |
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251 | if not gotcolour and len(self.colormap):
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252 | for segment in self.lines[i]:
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253 | getattr(segment, "set_color")(self.colormap[self.color])
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254 | if len(self.colormap) == 1:
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255 | getattr(segment, "set_dashes")(self.linestyles[self.linestyle])
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256 |
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257 | self.color += 1
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258 | if self.color >= len(self.colormap):
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259 | self.color = 0
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260 |
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261 | if len(self.colormap) == 1:
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262 | self.linestyle += 1
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263 | if self.linestyle >= len(self.linestyles):
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264 | self.linestyle = 0
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265 |
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266 | self.show()
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267 |
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268 |
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269 | def position(self):
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270 | """
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271 | Use the mouse to get a position from a graph.
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272 | """
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273 |
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274 | def position_disable(event):
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275 | self.register('button_press', None)
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276 | print '%.4f, %.4f' % (event.xdata, event.ydata)
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277 |
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278 | print 'Press any mouse button...'
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279 | self.register('button_press', position_disable)
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280 |
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281 |
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282 | def get_region(self):
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283 | pos = []
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284 | print "Please select the bottom/left point"
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285 | pos.append(self.figure.ginput(n=1, show_clicks=False)[0])
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286 | print "Please select the top/right point"
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287 | pos.append(self.figure.ginput(n=1, show_clicks=False)[0])
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288 | return pos
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289 |
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290 | def get_point(self):
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291 | print "Please select the point"
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292 | pt = self.figure.ginput(n=1, show_clicks=False)
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293 | if pt:
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294 | return pt[0]
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295 | else:
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296 | return None
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297 |
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298 | def region(self):
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299 | """
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300 | Use the mouse to get a rectangular region from a plot.
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301 |
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302 | The return value is [x0, y0, x1, y1] in world coordinates.
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303 | """
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304 |
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305 | def region_start(event):
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306 | height = self.canvas.figure.bbox.height()
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307 | self.rect = {'fig': None, 'height': height,
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308 | 'x': event.x, 'y': height - event.y,
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309 | 'world': [event.xdata, event.ydata,
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310 | event.xdata, event.ydata]}
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311 | self.register('button_press', None)
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312 | self.register('motion_notify', region_draw)
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313 | self.register('button_release', region_disable)
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314 |
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315 | def region_draw(event):
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316 | self.canvas._tkcanvas.delete(self.rect['fig'])
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317 | self.rect['fig'] = self.canvas._tkcanvas.create_rectangle(
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318 | self.rect['x'], self.rect['y'],
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319 | event.x, self.rect['height'] - event.y)
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320 |
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321 | def region_disable(event):
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322 | self.register('motion_notify', None)
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323 | self.register('button_release', None)
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324 |
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325 | self.canvas._tkcanvas.delete(self.rect['fig'])
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326 |
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327 | self.rect['world'][2:4] = [event.xdata, event.ydata]
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328 | print '(%.2f, %.2f) (%.2f, %.2f)' % (self.rect['world'][0],
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329 | self.rect['world'][1], self.rect['world'][2],
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330 | self.rect['world'][3])
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331 |
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332 | self.register('button_press', region_start)
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333 |
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334 | # This has to be modified to block and return the result (currently
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335 | # printed by region_disable) when that becomes possible in matplotlib.
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336 |
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337 | return [0.0, 0.0, 0.0, 0.0]
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338 |
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339 |
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340 | def register(self, type=None, func=None):
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341 | """
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342 | Register, reregister, or deregister events of type 'button_press',
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343 | 'button_release', or 'motion_notify'.
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344 |
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345 | The specified callback function should have the following signature:
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346 |
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347 | def func(event)
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348 |
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349 | where event is an MplEvent instance containing the following data:
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350 |
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351 | name # Event name.
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352 | canvas # FigureCanvas instance generating the event.
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353 | x = None # x position - pixels from left of canvas.
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354 | y = None # y position - pixels from bottom of canvas.
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355 | button = None # Button pressed: None, 1, 2, 3.
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356 | key = None # Key pressed: None, chr(range(255)), shift,
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357 | win, or control
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358 | inaxes = None # Axes instance if cursor within axes.
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359 | xdata = None # x world coordinate.
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360 | ydata = None # y world coordinate.
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361 |
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362 | For example:
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363 |
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364 | def mouse_move(event):
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365 | print event.xdata, event.ydata
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366 |
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367 | a = asaplot()
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368 | a.register('motion_notify', mouse_move)
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369 |
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370 | If func is None, the event is deregistered.
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371 |
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372 | Note that in TkAgg keyboard button presses don't generate an event.
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373 | """
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374 |
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375 | if not self.events.has_key(type): return
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376 |
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377 | if func is None:
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378 | if self.events[type] is not None:
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379 | # It's not clear that this does anything.
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380 | self.canvas.mpl_disconnect(self.events[type])
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381 | self.events[type] = None
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382 |
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383 | # It seems to be necessary to return events to the toolbar.
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384 | if type == 'motion_notify':
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385 | self.canvas.mpl_connect(type + '_event',
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386 | self.figmgr.toolbar.mouse_move)
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387 | elif type == 'button_press':
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388 | self.canvas.mpl_connect(type + '_event',
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389 | self.figmgr.toolbar.press)
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390 | elif type == 'button_release':
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391 | self.canvas.mpl_connect(type + '_event',
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392 | self.figmgr.toolbar.release)
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393 |
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394 | else:
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395 | self.events[type] = self.canvas.mpl_connect(type + '_event', func)
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396 |
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397 |
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398 | def release(self):
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399 | """
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400 | Release buffered graphics.
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401 | """
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402 | self.buffering = False
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403 | self.show()
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404 |
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405 |
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406 | def save(self, fname=None, orientation=None, dpi=None, papertype=None):
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407 | """
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408 | Save the plot to a file.
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409 |
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410 | fname is the name of the output file. The image format is determined
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411 | from the file suffix; 'png', 'ps', and 'eps' are recognized. If no
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412 | file name is specified 'yyyymmdd_hhmmss.png' is created in the current
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413 | directory.
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414 | """
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415 | from asap import rcParams
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416 | if papertype is None:
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417 | papertype = rcParams['plotter.papertype']
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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.get_figwidth()
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433 | h = self.figure.get_figheight()
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434 |
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435 | if orientation is None:
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436 | # 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 | from matplotlib.backends.backend_ps import papersize
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442 | pw,ph = papersize[papertype.lower()]
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443 | ds = None
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444 | if orientation == 'landscape':
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445 | ds = min(ph/w, pw/h)
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446 | else:
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447 | ds = min(pw/w, ph/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_size_inches((ow, oh))
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451 | self.figure.savefig(fname, orientation=orientation,
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452 | papertype=papertype.lower())
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453 | self.figure.set_size_inches((w, h))
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454 | print 'Written file %s' % (fname)
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455 | else:
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456 | if dpi is None:
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457 | dpi =150
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458 | self.figure.savefig(fname,dpi=dpi)
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459 | print 'Written file %s' % (fname)
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460 | except IOError, msg:
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461 | print 'Failed to save %s: Error msg was\n\n%s' % (fname, err)
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462 | return
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463 | else:
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464 | print "Invalid image type. Valid types are:"
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465 | print "'ps', 'eps', 'png'"
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466 |
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467 |
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468 | def set_axes(self, what=None, *args, **kwargs):
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469 | """
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470 | Set attributes for the axes by calling the relevant Axes.set_*()
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471 | method. Colour translation is done as described in the doctext
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472 | for palette().
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---|
473 | """
|
---|
474 |
|
---|
475 | if what is None: return
|
---|
476 | if what[-6:] == 'colour': what = what[:-6] + 'color'
|
---|
477 |
|
---|
478 | key = "colour"
|
---|
479 | if kwargs.has_key(key):
|
---|
480 | val = kwargs.pop(key)
|
---|
481 | kwargs["color"] = val
|
---|
482 |
|
---|
483 | getattr(self.axes, "set_%s"%what)(*args, **kwargs)
|
---|
484 |
|
---|
485 | self.show(hardrefresh=False)
|
---|
486 |
|
---|
487 |
|
---|
488 | def set_figure(self, what=None, *args, **kwargs):
|
---|
489 | """
|
---|
490 | Set attributes for the figure by calling the relevant Figure.set_*()
|
---|
491 | method. Colour translation is done as described in the doctext
|
---|
492 | for palette().
|
---|
493 | """
|
---|
494 |
|
---|
495 | if what is None: return
|
---|
496 | if what[-6:] == 'colour': what = what[:-6] + 'color'
|
---|
497 | #if what[-5:] == 'color' and len(args):
|
---|
498 | # args = (get_colour(args[0]),)
|
---|
499 |
|
---|
500 | newargs = {}
|
---|
501 | for k, v in kwargs.iteritems():
|
---|
502 | k = k.lower()
|
---|
503 | if k == 'colour': k = 'color'
|
---|
504 | newargs[k] = v
|
---|
505 |
|
---|
506 | getattr(self.figure, "set_%s"%what)(*args, **newargs)
|
---|
507 | self.show(hardrefresh=False)
|
---|
508 |
|
---|
509 |
|
---|
510 | def set_limits(self, xlim=None, ylim=None):
|
---|
511 | """
|
---|
512 | Set x-, and y-limits for each subplot.
|
---|
513 |
|
---|
514 | xlim = [xmin, xmax] as in axes.set_xlim().
|
---|
515 | ylim = [ymin, ymax] as in axes.set_ylim().
|
---|
516 | """
|
---|
517 | for s in self.subplots:
|
---|
518 | self.axes = s['axes']
|
---|
519 | self.lines = s['lines']
|
---|
520 | oldxlim = list(self.axes.get_xlim())
|
---|
521 | oldylim = list(self.axes.get_ylim())
|
---|
522 | if xlim is not None:
|
---|
523 | for i in range(len(xlim)):
|
---|
524 | if xlim[i] is not None:
|
---|
525 | oldxlim[i] = xlim[i]
|
---|
526 | if ylim is not None:
|
---|
527 | for i in range(len(ylim)):
|
---|
528 | if ylim[i] is not None:
|
---|
529 | oldylim[i] = ylim[i]
|
---|
530 | self.axes.set_xlim(oldxlim)
|
---|
531 | self.axes.set_ylim(oldylim)
|
---|
532 | return
|
---|
533 |
|
---|
534 |
|
---|
535 | def set_line(self, number=None, **kwargs):
|
---|
536 | """
|
---|
537 | Set attributes for the specified line, or else the next line(s)
|
---|
538 | to be plotted.
|
---|
539 |
|
---|
540 | number is the 0-relative number of a line that has already been
|
---|
541 | plotted. If no such line exists, attributes are recorded and used
|
---|
542 | for the next line(s) to be plotted.
|
---|
543 |
|
---|
544 | Keyword arguments specify Line2D attributes, e.g. color='r'. Do
|
---|
545 |
|
---|
546 | import matplotlib
|
---|
547 | help(matplotlib.lines)
|
---|
548 |
|
---|
549 | The set_* methods of class Line2D define the attribute names and
|
---|
550 | values. For non-US usage, "colour" is recognized as synonymous with
|
---|
551 | "color".
|
---|
552 |
|
---|
553 | Set the value to None to delete an attribute.
|
---|
554 |
|
---|
555 | Colour translation is done as described in the doctext for palette().
|
---|
556 | """
|
---|
557 |
|
---|
558 | redraw = False
|
---|
559 | for k, v in kwargs.iteritems():
|
---|
560 | k = k.lower()
|
---|
561 | if k == 'colour': k = 'color'
|
---|
562 |
|
---|
563 | if 0 <= number < len(self.lines):
|
---|
564 | if self.lines[number] is not None:
|
---|
565 | for line in self.lines[number]:
|
---|
566 | getattr(line, "set_%s"%k)(v)
|
---|
567 | redraw = True
|
---|
568 | else:
|
---|
569 | if v is None:
|
---|
570 | del self.attributes[k]
|
---|
571 | else:
|
---|
572 | self.attributes[k] = v
|
---|
573 |
|
---|
574 | if redraw: self.show(hardrefresh=False)
|
---|
575 |
|
---|
576 |
|
---|
577 | def set_panels(self, rows=1, cols=0, n=-1, nplots=-1, ganged=True):
|
---|
578 | """
|
---|
579 | Set the panel layout.
|
---|
580 |
|
---|
581 | rows and cols, if cols != 0, specify the number of rows and columns in
|
---|
582 | a regular layout. (Indexing of these panels in matplotlib is row-
|
---|
583 | major, i.e. column varies fastest.)
|
---|
584 |
|
---|
585 | cols == 0 is interpreted as a retangular layout that accomodates
|
---|
586 | 'rows' panels, e.g. rows == 6, cols == 0 is equivalent to
|
---|
587 | rows == 2, cols == 3.
|
---|
588 |
|
---|
589 | 0 <= n < rows*cols is interpreted as the 0-relative panel number in
|
---|
590 | the configuration specified by rows and cols to be added to the
|
---|
591 | current figure as its next 0-relative panel number (i). This allows
|
---|
592 | non-regular panel layouts to be constructed via multiple calls. Any
|
---|
593 | other value of n clears the plot and produces a rectangular array of
|
---|
594 | empty panels. The number of these may be limited by nplots.
|
---|
595 | """
|
---|
596 | if n < 0 and len(self.subplots):
|
---|
597 | self.figure.clear()
|
---|
598 | self.set_title()
|
---|
599 |
|
---|
600 | if rows < 1: rows = 1
|
---|
601 |
|
---|
602 | if cols <= 0:
|
---|
603 | i = int(sqrt(rows))
|
---|
604 | if i*i < rows: i += 1
|
---|
605 | cols = i
|
---|
606 |
|
---|
607 | if i*(i-1) >= rows: i -= 1
|
---|
608 | rows = i
|
---|
609 |
|
---|
610 | if 0 <= n < rows*cols:
|
---|
611 | i = len(self.subplots)
|
---|
612 | self.subplots.append({})
|
---|
613 |
|
---|
614 | self.subplots[i]['axes'] = self.figure.add_subplot(rows,
|
---|
615 | cols, n+1)
|
---|
616 | self.subplots[i]['lines'] = []
|
---|
617 |
|
---|
618 | if i == 0: self.subplot(0)
|
---|
619 |
|
---|
620 | self.rows = 0
|
---|
621 | self.cols = 0
|
---|
622 |
|
---|
623 | else:
|
---|
624 | self.subplots = []
|
---|
625 |
|
---|
626 | if nplots < 1 or rows*cols < nplots:
|
---|
627 | nplots = rows*cols
|
---|
628 | if ganged:
|
---|
629 | hsp,wsp = None,None
|
---|
630 | if rows > 1: hsp = 0.0001
|
---|
631 | if cols > 1: wsp = 0.0001
|
---|
632 | self.figure.subplots_adjust(wspace=wsp,hspace=hsp)
|
---|
633 | for i in range(nplots):
|
---|
634 | self.subplots.append({})
|
---|
635 | self.subplots[i]['lines'] = []
|
---|
636 | if not ganged:
|
---|
637 | self.subplots[i]['axes'] = self.figure.add_subplot(rows,
|
---|
638 | cols, i+1)
|
---|
639 | if asaprcParams['plotter.axesformatting'] != 'mpl':
|
---|
640 | self.subplots[i]['axes'].xaxis.set_major_formatter(OldScalarFormatter())
|
---|
641 | else:
|
---|
642 | if i == 0:
|
---|
643 | self.subplots[i]['axes'] = self.figure.add_subplot(rows,
|
---|
644 | cols, i+1)
|
---|
645 | if asaprcParams['plotter.axesformatting'] != 'mpl':
|
---|
646 |
|
---|
647 | self.subplots[i]['axes'].xaxis.set_major_formatter(OldScalarFormatter())
|
---|
648 | else:
|
---|
649 | self.subplots[i]['axes'] = self.figure.add_subplot(rows,
|
---|
650 | cols, i+1,
|
---|
651 | sharex=self.subplots[0]['axes'],
|
---|
652 | sharey=self.subplots[0]['axes'])
|
---|
653 |
|
---|
654 | # Suppress tick labelling for interior subplots.
|
---|
655 | if i <= (rows-1)*cols - 1:
|
---|
656 | if i+cols < nplots:
|
---|
657 | # Suppress x-labels for frames width
|
---|
658 | # adjacent frames
|
---|
659 | for tick in self.subplots[i]['axes'].xaxis.majorTicks:
|
---|
660 | tick.label1On = False
|
---|
661 | self.subplots[i]['axes'].xaxis.label.set_visible(False)
|
---|
662 | if i%cols:
|
---|
663 | # Suppress y-labels for frames not in the left column.
|
---|
664 | for tick in self.subplots[i]['axes'].yaxis.majorTicks:
|
---|
665 | tick.label1On = False
|
---|
666 | self.subplots[i]['axes'].yaxis.label.set_visible(False)
|
---|
667 | # disable the first tick of [1:ncol-1] of the last row
|
---|
668 | #if i+1 < nplots:
|
---|
669 | # self.subplots[i]['axes'].xaxis.majorTicks[0].label1On = False
|
---|
670 | self.rows = rows
|
---|
671 | self.cols = cols
|
---|
672 | self.subplot(0)
|
---|
673 |
|
---|
674 | def tidy(self):
|
---|
675 | # this needs to be exceuted after the first "refresh"
|
---|
676 | nplots = len(self.subplots)
|
---|
677 | if nplots == 1: return
|
---|
678 | for i in xrange(nplots):
|
---|
679 | ax = self.subplots[i]['axes']
|
---|
680 | if i%self.cols:
|
---|
681 | ax.xaxis.majorTicks[0].label1On = False
|
---|
682 | else:
|
---|
683 | if i != 0:
|
---|
684 | ax.yaxis.majorTicks[-1].label1On = False
|
---|
685 |
|
---|
686 |
|
---|
687 | def set_title(self, title=None):
|
---|
688 | """
|
---|
689 | Set the title of the plot window. Use the previous title if title is
|
---|
690 | omitted.
|
---|
691 | """
|
---|
692 | if title is not None:
|
---|
693 | self.title = title
|
---|
694 |
|
---|
695 | self.figure.text(0.5, 0.95, self.title, horizontalalignment='center')
|
---|
696 |
|
---|
697 |
|
---|
698 | def show(self, hardrefresh=True):
|
---|
699 | """
|
---|
700 | Show graphics dependent on the current buffering state.
|
---|
701 | """
|
---|
702 | if not hardrefresh: return
|
---|
703 | if not self.buffering:
|
---|
704 | if self.loc is not None:
|
---|
705 | for sp in self.subplots:
|
---|
706 | lines = []
|
---|
707 | labels = []
|
---|
708 | i = 0
|
---|
709 | for line in sp['lines']:
|
---|
710 | i += 1
|
---|
711 | if line is not None:
|
---|
712 | lines.append(line[0])
|
---|
713 | lbl = line[0].get_label()
|
---|
714 | if lbl == '':
|
---|
715 | lbl = str(i)
|
---|
716 | labels.append(lbl)
|
---|
717 |
|
---|
718 | if len(lines):
|
---|
719 | fp = FP(size=rcParams['legend.fontsize'])
|
---|
720 | fsz = fp.get_size_in_points() - len(lines)
|
---|
721 | fp.set_size(max(fsz,6))
|
---|
722 | sp['axes'].legend(tuple(lines), tuple(labels),
|
---|
723 | self.loc, prop=fp)
|
---|
724 | else:
|
---|
725 | sp['axes'].legend((' '))
|
---|
726 |
|
---|
727 |
|
---|
728 | from matplotlib.artist import setp
|
---|
729 | fpx = FP(size=rcParams['xtick.labelsize'])
|
---|
730 | xts = fpx.get_size_in_points()- (self.cols)/2
|
---|
731 | fpy = FP(size=rcParams['ytick.labelsize'])
|
---|
732 | yts = fpy.get_size_in_points() - (self.rows)/2
|
---|
733 | fpa = FP(size=rcParams['axes.labelsize'])
|
---|
734 | fpat = FP(size=rcParams['axes.titlesize'])
|
---|
735 | axsize = fpa.get_size_in_points()
|
---|
736 | tsize = fpat.get_size_in_points()
|
---|
737 | for sp in self.subplots:
|
---|
738 | ax = sp['axes']
|
---|
739 | off = 0
|
---|
740 | if len(self.subplots) > 1:
|
---|
741 | off = self.cols+self.rows
|
---|
742 | ax.title.set_size(tsize-off)
|
---|
743 | setp(ax.get_xticklabels(), fontsize=xts)
|
---|
744 | setp(ax.get_yticklabels(), fontsize=yts)
|
---|
745 | off = 0
|
---|
746 | if self.cols > 1:
|
---|
747 | off = self.cols
|
---|
748 | ax.xaxis.label.set_size(axsize-off)
|
---|
749 | if self.rows > 1:
|
---|
750 | off = self.rows
|
---|
751 | ax.yaxis.label.set_size(axsize-off)
|
---|
752 |
|
---|
753 | def subplot(self, i=None, inc=None):
|
---|
754 | """
|
---|
755 | Set the subplot to the 0-relative panel number as defined by one or
|
---|
756 | more invokations of set_panels().
|
---|
757 | """
|
---|
758 | l = len(self.subplots)
|
---|
759 | if l:
|
---|
760 | if i is not None:
|
---|
761 | self.i = i
|
---|
762 |
|
---|
763 | if inc is not None:
|
---|
764 | self.i += inc
|
---|
765 |
|
---|
766 | self.i %= l
|
---|
767 | self.axes = self.subplots[self.i]['axes']
|
---|
768 | self.lines = self.subplots[self.i]['lines']
|
---|
769 |
|
---|
770 | def text(self, *args, **kwargs):
|
---|
771 | """
|
---|
772 | Add text to the figure.
|
---|
773 | """
|
---|
774 | self.figure.text(*args, **kwargs)
|
---|
775 | self.show()
|
---|
776 |
|
---|
777 | def vline_with_label(self, x, y, label,
|
---|
778 | location='bottom', rotate=0.0, **kwargs):
|
---|
779 | """
|
---|
780 | Plot a vertical line with label.
|
---|
781 | It takes "world" values fo x and y.
|
---|
782 | """
|
---|
783 | ax = self.axes
|
---|
784 | # need this to suppress autoscaling during this function
|
---|
785 | self.axes.set_autoscale_on(False)
|
---|
786 | ymin = 0.0
|
---|
787 | ymax = 1.0
|
---|
788 | valign = 'center'
|
---|
789 | if location.lower() == 'top':
|
---|
790 | y = max(0.0, y)
|
---|
791 | elif location.lower() == 'bottom':
|
---|
792 | y = min(0.0, y)
|
---|
793 | lbloffset = 0.06
|
---|
794 | # a rough estimate for the bb of the text
|
---|
795 | if rotate > 0.0: lbloffset = 0.03*len(label)
|
---|
796 | peakoffset = 0.01
|
---|
797 | xy = None
|
---|
798 | xy0 = None
|
---|
799 | # matplotlib api change 0.98 is using transform now
|
---|
800 | if hasattr(ax.transData, "inverse_xy_tup"):
|
---|
801 | # get relative coords
|
---|
802 | xy0 = ax.transData.xy_tup((x,y))
|
---|
803 | xy = ax.transAxes.inverse_xy_tup(xy0)
|
---|
804 | else:
|
---|
805 | xy0 = ax.transData.transform((x,y))
|
---|
806 | # get relative coords
|
---|
807 | xy = ax.transAxes.inverted().transform(xy0)
|
---|
808 | if location.lower() == 'top':
|
---|
809 | ymax = 1.0-lbloffset
|
---|
810 | ymin = xy[1]+peakoffset
|
---|
811 | valign = 'bottom'
|
---|
812 | ylbl = ymax+0.01
|
---|
813 | elif location.lower() == 'bottom':
|
---|
814 | ymin = lbloffset
|
---|
815 | ymax = xy[1]-peakoffset
|
---|
816 | valign = 'top'
|
---|
817 | ylbl = ymin-0.01
|
---|
818 | trans = blended_transform_factory(ax.transData, ax.transAxes)
|
---|
819 | l = ax.axvline(x, ymin, ymax, color='black', **kwargs)
|
---|
820 | t = ax.text(x, ylbl ,label, verticalalignment=valign,
|
---|
821 | horizontalalignment='center',
|
---|
822 | rotation=rotate,transform = trans)
|
---|
823 | self.axes.set_autoscale_on(True)
|
---|