[705] | 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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[710] | 14 | from asap import rcParams as asaprcParams |
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[705] | 15 | |
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[1019] | 16 | from matplotlib.ticker import ScalarFormatter |
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| 17 | from matplotlib.ticker import NullLocator |
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| 18 | |
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| 19 | class MyFormatter(ScalarFormatter): |
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| 20 | def __call__(self, x, pos=None): |
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| 21 | last = len(self.locs)-2 |
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| 22 | if pos==last: |
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| 23 | print "Diabling tick no " , pos, last |
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| 24 | return '' # pos=-1 is the last tick |
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| 25 | else: return ScalarFormatter.__call__(self, x, pos) |
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| 26 | |
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[705] | 27 | class asaplotbase: |
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| 28 | """ |
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| 29 | ASAP plotting base class based on matplotlib. |
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| 30 | """ |
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| 31 | |
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| 32 | def __init__(self, rows=1, cols=0, title='', size=(8,6), buffering=False): |
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[1019] | 33 | """ |
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| 34 | Create a new instance of the ASAPlot plotting class. |
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[705] | 35 | |
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[1019] | 36 | If rows < 1 then a separate call to set_panels() is required to define |
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| 37 | the panel layout; refer to the doctext for set_panels(). |
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| 38 | """ |
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[705] | 39 | self.is_dead = False |
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[1019] | 40 | self.figure = Figure(figsize=size, facecolor='#ddddee') |
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[705] | 41 | self.canvas = None |
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| 42 | |
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[1019] | 43 | self.set_title(title) |
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| 44 | self.subplots = [] |
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| 45 | if rows > 0: |
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| 46 | self.set_panels(rows, cols) |
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[705] | 47 | |
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[710] | 48 | # Set matplotlib default colour sequence. |
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| 49 | self.colormap = "green red black cyan magenta orange blue purple yellow pink".split() |
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[1019] | 50 | |
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[710] | 51 | c = asaprcParams['plotter.colours'] |
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| 52 | if isinstance(c,str) and len(c) > 0: |
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| 53 | self.colormap = c.split() |
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| 54 | |
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| 55 | self.lsalias = {"line": [1,0], |
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| 56 | "dashdot": [4,2,1,2], |
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| 57 | "dashed" : [4,2,4,2], |
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| 58 | "dotted" : [1,2], |
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| 59 | "dashdotdot": [4,2,1,2,1,2], |
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| 60 | "dashdashdot": [4,2,4,2,1,2] |
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| 61 | } |
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| 62 | |
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| 63 | styles = "line dashed dotted dashdot".split() |
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| 64 | c = asaprcParams['plotter.linestyles'] |
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| 65 | if isinstance(c,str) and len(c) > 0: |
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| 66 | styles = c.split() |
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| 67 | s = [] |
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| 68 | for ls in styles: |
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| 69 | if self.lsalias.has_key(ls): |
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| 70 | s.append(self.lsalias.get(ls)) |
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| 71 | else: |
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| 72 | s.append('-') |
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| 73 | self.linestyles = s |
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| 74 | |
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[705] | 75 | self.color = 0; |
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[710] | 76 | self.linestyle = 0; |
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[1019] | 77 | self.attributes = {} |
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| 78 | self.loc = 0 |
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[705] | 79 | |
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[1019] | 80 | self.buffering = buffering |
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[705] | 81 | |
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| 82 | def clear(self): |
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[1019] | 83 | """ |
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| 84 | Delete all lines from the plot. Line numbering will restart from 1. |
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| 85 | """ |
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[705] | 86 | |
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[1019] | 87 | for i in range(len(self.lines)): |
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| 88 | self.delete(i) |
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| 89 | self.axes.clear() |
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| 90 | self.color = 0 |
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| 91 | self.lines = [] |
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[705] | 92 | |
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[710] | 93 | def palette(self, color, colormap=None, linestyle=0, linestyles=None): |
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[705] | 94 | if colormap: |
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[710] | 95 | if isinstance(colormap,list): |
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| 96 | self.colormap = colormap |
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| 97 | elif isinstance(colormap,str): |
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| 98 | self.colormap = colormap.split() |
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[705] | 99 | if 0 <= color < len(self.colormap): |
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| 100 | self.color = color |
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[710] | 101 | if linestyles: |
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| 102 | self.linestyles = [] |
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| 103 | if isinstance(linestyles,list): |
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| 104 | styles = linestyles |
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| 105 | elif isinstance(linestyles,str): |
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| 106 | styles = linestyles.split() |
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| 107 | for ls in styles: |
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| 108 | if self.lsalias.has_key(ls): |
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| 109 | self.linestyles.append(self.lsalias.get(ls)) |
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| 110 | else: |
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| 111 | self.linestyles.append(self.lsalias.get('line')) |
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| 112 | if 0 <= linestyle < len(self.linestyles): |
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| 113 | self.linestyle = linestyle |
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[705] | 114 | |
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| 115 | def delete(self, numbers=None): |
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[1019] | 116 | """ |
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| 117 | Delete the 0-relative line number, default is to delete the last. |
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| 118 | The remaining lines are NOT renumbered. |
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| 119 | """ |
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[705] | 120 | |
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[1019] | 121 | if numbers is None: numbers = [len(self.lines)-1] |
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[705] | 122 | |
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[1019] | 123 | if not hasattr(numbers, '__iter__'): |
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| 124 | numbers = [numbers] |
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[705] | 125 | |
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[1019] | 126 | for number in numbers: |
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| 127 | if 0 <= number < len(self.lines): |
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| 128 | if self.lines[number] is not None: |
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| 129 | for line in self.lines[number]: |
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| 130 | line.set_linestyle('None') |
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| 131 | self.lines[number] = None |
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| 132 | self.show() |
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[705] | 133 | |
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| 134 | def get_line(self): |
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[1019] | 135 | """ |
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| 136 | Get the current default line attributes. |
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| 137 | """ |
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| 138 | return self.attributes |
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[705] | 139 | |
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| 140 | |
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| 141 | def hist(self, x=None, y=None, fmt=None): |
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[1019] | 142 | """ |
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| 143 | Plot a histogram. N.B. the x values refer to the start of the |
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| 144 | histogram bin. |
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[705] | 145 | |
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[1019] | 146 | fmt is the line style as in plot(). |
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| 147 | """ |
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[705] | 148 | |
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[1019] | 149 | if x is None: |
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| 150 | if y is None: return |
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| 151 | x = range(0,len(y)) |
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[705] | 152 | |
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[1019] | 153 | if len(x) != len(y): |
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| 154 | return |
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[705] | 155 | |
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[1019] | 156 | l2 = 2*len(x) |
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| 157 | x2 = range(0,l2) |
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| 158 | y2 = range(0,l2) |
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[705] | 159 | |
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[1019] | 160 | for i in range(0,l2): |
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| 161 | x2[i] = x[i/2] |
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[705] | 162 | |
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[1019] | 163 | y2[0] = 0 |
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| 164 | for i in range(1,l2): |
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| 165 | y2[i] = y[(i-1)/2] |
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[705] | 166 | |
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[1019] | 167 | self.plot(x2, y2, fmt) |
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[705] | 168 | |
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| 169 | |
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| 170 | def hold(self, hold=True): |
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[1019] | 171 | """ |
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| 172 | Buffer graphics until subsequently released. |
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| 173 | """ |
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| 174 | self.buffering = hold |
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[705] | 175 | |
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| 176 | |
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| 177 | def legend(self, loc=None): |
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[1019] | 178 | """ |
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| 179 | Add a legend to the plot. |
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[705] | 180 | |
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[1019] | 181 | Any other value for loc else disables the legend: |
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| 182 | 1: upper right |
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| 183 | 2: upper left |
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| 184 | 3: lower left |
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| 185 | 4: lower right |
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| 186 | 5: right |
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| 187 | 6: center left |
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| 188 | 7: center right |
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| 189 | 8: lower center |
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| 190 | 9: upper center |
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| 191 | 10: center |
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[705] | 192 | |
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[1019] | 193 | """ |
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[705] | 194 | if isinstance(loc,int): |
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| 195 | if 0 > loc > 10: loc = 0 |
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| 196 | self.loc = loc |
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[1019] | 197 | self.show() |
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[705] | 198 | |
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| 199 | |
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| 200 | def plot(self, x=None, y=None, mask=None, fmt=None, add=None): |
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[1019] | 201 | """ |
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| 202 | Plot the next line in the current frame using the current line |
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| 203 | attributes. The ASAPlot graphics window will be mapped and raised. |
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[705] | 204 | |
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[1019] | 205 | The argument list works a bit like the matlab plot() function. |
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| 206 | """ |
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[705] | 207 | |
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[1019] | 208 | if x is None: |
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| 209 | if y is None: return |
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| 210 | x = range(len(y)) |
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[705] | 211 | |
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[1019] | 212 | elif y is None: |
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| 213 | y = x |
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| 214 | x = range(len(y)) |
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[705] | 215 | |
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[1019] | 216 | if mask is None: |
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| 217 | if fmt is None: |
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| 218 | line = self.axes.plot(x, y) |
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| 219 | else: |
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| 220 | line = self.axes.plot(x, y, fmt) |
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| 221 | else: |
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| 222 | segments = [] |
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[705] | 223 | |
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[1019] | 224 | mask = list(mask) |
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| 225 | i = 0 |
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| 226 | while mask[i:].count(1): |
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| 227 | i += mask[i:].index(1) |
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| 228 | if mask[i:].count(0): |
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| 229 | j = i + mask[i:].index(0) |
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| 230 | else: |
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| 231 | j = len(mask) |
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[705] | 232 | |
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[1019] | 233 | segments.append(x[i:j]) |
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| 234 | segments.append(y[i:j]) |
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[705] | 235 | |
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[1019] | 236 | i = j |
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[705] | 237 | |
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[1019] | 238 | line = self.axes.plot(*segments) |
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| 239 | # Add to an existing line? |
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| 240 | if add is None or len(self.lines) < add < 0: |
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| 241 | # Don't add. |
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| 242 | self.lines.append(line) |
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| 243 | i = len(self.lines) - 1 |
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| 244 | else: |
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| 245 | if add == 0: add = len(self.lines) |
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| 246 | i = add - 1 |
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| 247 | self.lines[i].extend(line) |
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[705] | 248 | |
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[1019] | 249 | # Set/reset attributes for the line. |
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| 250 | gotcolour = False |
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| 251 | for k, v in self.attributes.iteritems(): |
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| 252 | if k == 'color': gotcolour = True |
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| 253 | for segment in self.lines[i]: |
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| 254 | getattr(segment, "set_%s"%k)(v) |
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[705] | 255 | |
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[1019] | 256 | if not gotcolour and len(self.colormap): |
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| 257 | for segment in self.lines[i]: |
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| 258 | getattr(segment, "set_color")(self.colormap[self.color]) |
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[710] | 259 | if len(self.colormap) == 1: |
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| 260 | getattr(segment, "set_dashes")(self.linestyles[self.linestyle]) |
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[1019] | 261 | self.color += 1 |
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| 262 | if self.color >= len(self.colormap): |
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| 263 | self.color = 0 |
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[705] | 264 | |
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[710] | 265 | if len(self.colormap) == 1: |
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| 266 | self.linestyle += 1 |
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[1019] | 267 | if self.linestyle >= len(self.linestyles): |
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| 268 | self.linestyle = 0 |
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[710] | 269 | |
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[1019] | 270 | self.show() |
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[705] | 271 | |
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| 272 | |
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| 273 | def position(self): |
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[1019] | 274 | """ |
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| 275 | Use the mouse to get a position from a graph. |
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| 276 | """ |
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[705] | 277 | |
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[1019] | 278 | def position_disable(event): |
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| 279 | self.register('button_press', None) |
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| 280 | print '%.4f, %.4f' % (event.xdata, event.ydata) |
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[705] | 281 | |
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[1019] | 282 | print 'Press any mouse button...' |
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| 283 | self.register('button_press', position_disable) |
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[705] | 284 | |
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| 285 | |
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| 286 | def region(self): |
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[1019] | 287 | """ |
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| 288 | Use the mouse to get a rectangular region from a plot. |
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[705] | 289 | |
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[1019] | 290 | The return value is [x0, y0, x1, y1] in world coordinates. |
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| 291 | """ |
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[705] | 292 | |
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[1019] | 293 | def region_start(event): |
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| 294 | height = self.canvas.figure.bbox.height() |
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| 295 | self.rect = {'fig': None, 'height': height, |
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| 296 | 'x': event.x, 'y': height - event.y, |
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| 297 | 'world': [event.xdata, event.ydata, |
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| 298 | event.xdata, event.ydata]} |
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| 299 | self.register('button_press', None) |
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| 300 | self.register('motion_notify', region_draw) |
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| 301 | self.register('button_release', region_disable) |
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[705] | 302 | |
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[1019] | 303 | def region_draw(event): |
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| 304 | self.canvas._tkcanvas.delete(self.rect['fig']) |
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| 305 | self.rect['fig'] = self.canvas._tkcanvas.create_rectangle( |
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| 306 | self.rect['x'], self.rect['y'], |
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| 307 | event.x, self.rect['height'] - event.y) |
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[705] | 308 | |
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[1019] | 309 | def region_disable(event): |
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| 310 | self.register('motion_notify', None) |
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| 311 | self.register('button_release', None) |
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[705] | 312 | |
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[1019] | 313 | self.canvas._tkcanvas.delete(self.rect['fig']) |
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[705] | 314 | |
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[1019] | 315 | self.rect['world'][2:4] = [event.xdata, event.ydata] |
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| 316 | print '(%.2f, %.2f) (%.2f, %.2f)' % (self.rect['world'][0], |
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| 317 | self.rect['world'][1], self.rect['world'][2], |
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| 318 | self.rect['world'][3]) |
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[705] | 319 | |
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[1019] | 320 | self.register('button_press', region_start) |
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[705] | 321 | |
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[1019] | 322 | # This has to be modified to block and return the result (currently |
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| 323 | # printed by region_disable) when that becomes possible in matplotlib. |
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[705] | 324 | |
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[1019] | 325 | return [0.0, 0.0, 0.0, 0.0] |
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[705] | 326 | |
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| 327 | |
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| 328 | def register(self, type=None, func=None): |
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[1019] | 329 | """ |
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| 330 | Register, reregister, or deregister events of type 'button_press', |
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| 331 | 'button_release', or 'motion_notify'. |
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[705] | 332 | |
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[1019] | 333 | The specified callback function should have the following signature: |
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[705] | 334 | |
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[1019] | 335 | def func(event) |
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[705] | 336 | |
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[1019] | 337 | where event is an MplEvent instance containing the following data: |
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[705] | 338 | |
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[1019] | 339 | name # Event name. |
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| 340 | canvas # FigureCanvas instance generating the event. |
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| 341 | x = None # x position - pixels from left of canvas. |
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| 342 | y = None # y position - pixels from bottom of canvas. |
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| 343 | button = None # Button pressed: None, 1, 2, 3. |
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| 344 | key = None # Key pressed: None, chr(range(255)), shift, |
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| 345 | win, or control |
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| 346 | inaxes = None # Axes instance if cursor within axes. |
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| 347 | xdata = None # x world coordinate. |
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| 348 | ydata = None # y world coordinate. |
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[705] | 349 | |
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[1019] | 350 | For example: |
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[705] | 351 | |
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[1019] | 352 | def mouse_move(event): |
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| 353 | print event.xdata, event.ydata |
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[705] | 354 | |
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[1019] | 355 | a = asaplot() |
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| 356 | a.register('motion_notify', mouse_move) |
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[705] | 357 | |
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[1019] | 358 | If func is None, the event is deregistered. |
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[705] | 359 | |
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[1019] | 360 | Note that in TkAgg keyboard button presses don't generate an event. |
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| 361 | """ |
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[705] | 362 | |
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[1019] | 363 | if not self.events.has_key(type): return |
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[705] | 364 | |
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[1019] | 365 | if func is None: |
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| 366 | if self.events[type] is not None: |
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| 367 | # It's not clear that this does anything. |
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| 368 | self.canvas.mpl_disconnect(self.events[type]) |
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| 369 | self.events[type] = None |
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[705] | 370 | |
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[1019] | 371 | # It seems to be necessary to return events to the toolbar. |
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| 372 | if type == 'motion_notify': |
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| 373 | self.canvas.mpl_connect(type + '_event', |
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| 374 | self.figmgr.toolbar.mouse_move) |
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| 375 | elif type == 'button_press': |
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| 376 | self.canvas.mpl_connect(type + '_event', |
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| 377 | self.figmgr.toolbar.press) |
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| 378 | elif type == 'button_release': |
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| 379 | self.canvas.mpl_connect(type + '_event', |
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| 380 | self.figmgr.toolbar.release) |
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[705] | 381 | |
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[1019] | 382 | else: |
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| 383 | self.events[type] = self.canvas.mpl_connect(type + '_event', func) |
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[705] | 384 | |
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| 385 | |
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| 386 | def release(self): |
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[1019] | 387 | """ |
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| 388 | Release buffered graphics. |
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| 389 | """ |
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| 390 | self.buffering = False |
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| 391 | self.show() |
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[705] | 392 | |
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| 393 | |
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| 394 | def save(self, fname=None, orientation=None, dpi=None): |
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[1019] | 395 | """ |
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| 396 | Save the plot to a file. |
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[705] | 397 | |
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[1019] | 398 | fname is the name of the output file. The image format is determined |
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| 399 | from the file suffix; 'png', 'ps', and 'eps' are recognized. If no |
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| 400 | file name is specified 'yyyymmdd_hhmmss.png' is created in the current |
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| 401 | directory. |
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| 402 | """ |
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| 403 | if fname is None: |
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| 404 | from datetime import datetime |
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| 405 | dstr = datetime.now().strftime('%Y%m%d_%H%M%S') |
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| 406 | fname = 'asap'+dstr+'.png' |
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[705] | 407 | |
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[1019] | 408 | d = ['png','.ps','eps'] |
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[705] | 409 | |
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[1019] | 410 | from os.path import expandvars |
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| 411 | fname = expandvars(fname) |
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[705] | 412 | |
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[1019] | 413 | if fname[-3:].lower() in d: |
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| 414 | try: |
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[705] | 415 | if fname[-3:].lower() == ".ps": |
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| 416 | w = self.figure.figwidth.get() |
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[1019] | 417 | h = self.figure.figheight.get() |
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[705] | 418 | a4w = 8.25 |
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| 419 | a4h = 11.25 |
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[1019] | 420 | |
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[705] | 421 | if orientation is None: |
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| 422 | # auto oriented |
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| 423 | if w > h: |
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| 424 | orientation = 'landscape' |
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| 425 | else: |
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| 426 | orientation = 'portrait' |
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| 427 | ds = None |
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| 428 | if orientation == 'landscape': |
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| 429 | ds = min(a4h/w,a4w/h) |
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| 430 | else: |
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| 431 | ds = min(a4w/w,a4h/h) |
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| 432 | ow = ds * w |
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| 433 | oh = ds * h |
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| 434 | self.figure.set_figsize_inches((ow,oh)) |
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| 435 | self.canvas.print_figure(fname,orientation=orientation) |
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| 436 | print 'Written file %s' % (fname) |
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[1019] | 437 | else: |
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[705] | 438 | if dpi is None: |
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| 439 | dpi =150 |
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| 440 | self.canvas.print_figure(fname,dpi=dpi) |
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| 441 | print 'Written file %s' % (fname) |
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[1019] | 442 | except IOError, msg: |
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| 443 | print 'Failed to save %s: Error msg was\n\n%s' % (fname, err) |
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| 444 | return |
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| 445 | else: |
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| 446 | print "Invalid image type. Valid types are:" |
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| 447 | print "'ps', 'eps', 'png'" |
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[705] | 448 | |
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| 449 | |
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| 450 | def set_axes(self, what=None, *args, **kwargs): |
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[1019] | 451 | """ |
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| 452 | Set attributes for the axes by calling the relevant Axes.set_*() |
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| 453 | method. Colour translation is done as described in the doctext |
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| 454 | for palette(). |
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| 455 | """ |
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[705] | 456 | |
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[1019] | 457 | if what is None: return |
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| 458 | if what[-6:] == 'colour': what = what[:-6] + 'color' |
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[705] | 459 | |
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[1019] | 460 | newargs = {} |
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[705] | 461 | |
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[1019] | 462 | for k, v in kwargs.iteritems(): |
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| 463 | k = k.lower() |
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| 464 | if k == 'colour': k = 'color' |
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| 465 | newargs[k] = v |
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[705] | 466 | |
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[1019] | 467 | getattr(self.axes, "set_%s"%what)(*args, **newargs) |
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| 468 | s = self.axes.title.get_size() |
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| 469 | tsize = s-(self.cols+self.rows)/2-1 |
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| 470 | self.axes.title.set_size(tsize) |
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| 471 | if self.cols > 1: |
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| 472 | xfsize = self.axes.xaxis.label.get_size()-(self.cols+1)/2 |
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| 473 | self.axes.xaxis.label.set_size(xfsize) |
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| 474 | if self.rows > 1: |
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| 475 | yfsize = self.axes.yaxis.label.get_size()-(self.rows+1)/2 |
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| 476 | self.axes.yaxis.label.set_size(yfsize) |
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[705] | 477 | |
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[1019] | 478 | self.show() |
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| 479 | |
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| 480 | |
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[705] | 481 | def set_figure(self, what=None, *args, **kwargs): |
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[1019] | 482 | """ |
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| 483 | Set attributes for the figure by calling the relevant Figure.set_*() |
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| 484 | method. Colour translation is done as described in the doctext |
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| 485 | for palette(). |
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| 486 | """ |
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[705] | 487 | |
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[1019] | 488 | if what is None: return |
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| 489 | if what[-6:] == 'colour': what = what[:-6] + 'color' |
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| 490 | #if what[-5:] == 'color' and len(args): |
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| 491 | # args = (get_colour(args[0]),) |
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[705] | 492 | |
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[1019] | 493 | newargs = {} |
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| 494 | for k, v in kwargs.iteritems(): |
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| 495 | k = k.lower() |
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| 496 | if k == 'colour': k = 'color' |
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| 497 | newargs[k] = v |
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[705] | 498 | |
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[1019] | 499 | getattr(self.figure, "set_%s"%what)(*args, **newargs) |
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| 500 | self.show() |
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[705] | 501 | |
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| 502 | |
---|
| 503 | def set_limits(self, xlim=None, ylim=None): |
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[1019] | 504 | """ |
---|
| 505 | Set x-, and y-limits for each subplot. |
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[705] | 506 | |
---|
[1019] | 507 | xlim = [xmin, xmax] as in axes.set_xlim(). |
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| 508 | ylim = [ymin, ymax] as in axes.set_ylim(). |
---|
| 509 | """ |
---|
| 510 | for s in self.subplots: |
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| 511 | self.axes = s['axes'] |
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| 512 | self.lines = s['lines'] |
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[705] | 513 | oldxlim = list(self.axes.get_xlim()) |
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| 514 | oldylim = list(self.axes.get_ylim()) |
---|
| 515 | if xlim is not None: |
---|
| 516 | for i in range(len(xlim)): |
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| 517 | if xlim[i] is not None: |
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| 518 | oldxlim[i] = xlim[i] |
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[1019] | 519 | if ylim is not None: |
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[705] | 520 | for i in range(len(ylim)): |
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| 521 | if ylim[i] is not None: |
---|
| 522 | oldylim[i] = ylim[i] |
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| 523 | self.axes.set_xlim(oldxlim) |
---|
| 524 | self.axes.set_ylim(oldylim) |
---|
| 525 | return |
---|
| 526 | |
---|
| 527 | |
---|
| 528 | def set_line(self, number=None, **kwargs): |
---|
[1019] | 529 | """ |
---|
| 530 | Set attributes for the specified line, or else the next line(s) |
---|
| 531 | to be plotted. |
---|
[705] | 532 | |
---|
[1019] | 533 | number is the 0-relative number of a line that has already been |
---|
| 534 | plotted. If no such line exists, attributes are recorded and used |
---|
| 535 | for the next line(s) to be plotted. |
---|
[705] | 536 | |
---|
[1019] | 537 | Keyword arguments specify Line2D attributes, e.g. color='r'. Do |
---|
[705] | 538 | |
---|
[1019] | 539 | import matplotlib |
---|
| 540 | help(matplotlib.lines) |
---|
[705] | 541 | |
---|
[1019] | 542 | The set_* methods of class Line2D define the attribute names and |
---|
| 543 | values. For non-US usage, "colour" is recognized as synonymous with |
---|
| 544 | "color". |
---|
[705] | 545 | |
---|
[1019] | 546 | Set the value to None to delete an attribute. |
---|
[705] | 547 | |
---|
[1019] | 548 | Colour translation is done as described in the doctext for palette(). |
---|
| 549 | """ |
---|
[705] | 550 | |
---|
[1019] | 551 | redraw = False |
---|
| 552 | for k, v in kwargs.iteritems(): |
---|
| 553 | k = k.lower() |
---|
| 554 | if k == 'colour': k = 'color' |
---|
[705] | 555 | |
---|
[1019] | 556 | if 0 <= number < len(self.lines): |
---|
| 557 | if self.lines[number] is not None: |
---|
| 558 | for line in self.lines[number]: |
---|
| 559 | getattr(line, "set_%s"%k)(v) |
---|
| 560 | redraw = True |
---|
| 561 | else: |
---|
| 562 | if v is None: |
---|
| 563 | del self.attributes[k] |
---|
| 564 | else: |
---|
| 565 | self.attributes[k] = v |
---|
[705] | 566 | |
---|
[1019] | 567 | if redraw: self.show() |
---|
[705] | 568 | |
---|
| 569 | |
---|
| 570 | def set_panels(self, rows=1, cols=0, n=-1, nplots=-1, ganged=True): |
---|
[1019] | 571 | """ |
---|
| 572 | Set the panel layout. |
---|
[705] | 573 | |
---|
[1019] | 574 | rows and cols, if cols != 0, specify the number of rows and columns in |
---|
| 575 | a regular layout. (Indexing of these panels in matplotlib is row- |
---|
| 576 | major, i.e. column varies fastest.) |
---|
[705] | 577 | |
---|
[1019] | 578 | cols == 0 is interpreted as a retangular layout that accomodates |
---|
| 579 | 'rows' panels, e.g. rows == 6, cols == 0 is equivalent to |
---|
| 580 | rows == 2, cols == 3. |
---|
[705] | 581 | |
---|
[1019] | 582 | 0 <= n < rows*cols is interpreted as the 0-relative panel number in |
---|
| 583 | the configuration specified by rows and cols to be added to the |
---|
| 584 | current figure as its next 0-relative panel number (i). This allows |
---|
| 585 | non-regular panel layouts to be constructed via multiple calls. Any |
---|
| 586 | other value of n clears the plot and produces a rectangular array of |
---|
| 587 | empty panels. The number of these may be limited by nplots. |
---|
| 588 | """ |
---|
| 589 | if n < 0 and len(self.subplots): |
---|
| 590 | self.figure.clear() |
---|
| 591 | self.set_title() |
---|
[705] | 592 | |
---|
[1019] | 593 | if rows < 1: rows = 1 |
---|
[705] | 594 | |
---|
[1019] | 595 | if cols <= 0: |
---|
| 596 | i = int(sqrt(rows)) |
---|
| 597 | if i*i < rows: i += 1 |
---|
| 598 | cols = i |
---|
[705] | 599 | |
---|
[1019] | 600 | if i*(i-1) >= rows: i -= 1 |
---|
| 601 | rows = i |
---|
[705] | 602 | |
---|
[1019] | 603 | if 0 <= n < rows*cols: |
---|
| 604 | i = len(self.subplots) |
---|
| 605 | self.subplots.append({}) |
---|
[705] | 606 | |
---|
[1019] | 607 | self.subplots[i]['axes'] = self.figure.add_subplot(rows, |
---|
| 608 | cols, n+1) |
---|
| 609 | self.subplots[i]['lines'] = [] |
---|
[705] | 610 | |
---|
[1019] | 611 | if i == 0: self.subplot(0) |
---|
[705] | 612 | |
---|
[1019] | 613 | self.rows = 0 |
---|
| 614 | self.cols = 0 |
---|
[705] | 615 | |
---|
[1019] | 616 | else: |
---|
| 617 | self.subplots = [] |
---|
[705] | 618 | |
---|
[1019] | 619 | if nplots < 1 or rows*cols < nplots: |
---|
| 620 | nplots = rows*cols |
---|
[705] | 621 | |
---|
[1019] | 622 | for i in range(nplots): |
---|
| 623 | self.subplots.append({}) |
---|
[705] | 624 | |
---|
[1019] | 625 | self.subplots[i]['axes'] = self.figure.add_subplot(rows, |
---|
| 626 | cols, i+1) |
---|
| 627 | self.subplots[i]['lines'] = [] |
---|
| 628 | |
---|
[705] | 629 | if ganged: |
---|
| 630 | if rows > 1 or cols > 1: |
---|
| 631 | # Squeeze the plots together. |
---|
| 632 | pos = self.subplots[i]['axes'].get_position() |
---|
| 633 | if cols > 1: pos[2] *= 1.2 |
---|
| 634 | if rows > 1: pos[3] *= 1.2 |
---|
| 635 | self.subplots[i]['axes'].set_position(pos) |
---|
| 636 | |
---|
| 637 | # Suppress tick labelling for interior subplots. |
---|
| 638 | if i <= (rows-1)*cols - 1: |
---|
| 639 | if i+cols < nplots: |
---|
| 640 | # Suppress x-labels for frames width |
---|
| 641 | # adjacent frames |
---|
[1019] | 642 | self.subplots[i]['axes'].xaxis.set_major_locator(NullLocator()) |
---|
| 643 | self.subplots[i]['axes'].xaxis.label.set_visible(False) |
---|
[705] | 644 | if i%cols: |
---|
| 645 | # Suppress y-labels for frames not in the left column. |
---|
| 646 | for tick in self.subplots[i]['axes'].yaxis.majorTicks: |
---|
| 647 | tick.label1On = False |
---|
| 648 | self.subplots[i]['axes'].yaxis.label.set_visible(False) |
---|
[1019] | 649 | if (i+1)%cols: |
---|
| 650 | self.subplots[i]['axes'].xaxis.set_major_formatter(MyFormatter()) |
---|
| 651 | self.rows = rows |
---|
| 652 | self.cols = cols |
---|
[705] | 653 | |
---|
[1019] | 654 | self.subplot(0) |
---|
[705] | 655 | |
---|
| 656 | def set_title(self, title=None): |
---|
[1019] | 657 | """ |
---|
| 658 | Set the title of the plot window. Use the previous title if title is |
---|
| 659 | omitted. |
---|
| 660 | """ |
---|
| 661 | if title is not None: |
---|
| 662 | self.title = title |
---|
[705] | 663 | |
---|
[1019] | 664 | self.figure.text(0.5, 0.95, self.title, horizontalalignment='center') |
---|
[705] | 665 | |
---|
| 666 | |
---|
| 667 | def show(self): |
---|
[1019] | 668 | """ |
---|
| 669 | Show graphics dependent on the current buffering state. |
---|
| 670 | """ |
---|
| 671 | if not self.buffering: |
---|
| 672 | if self.loc is not None: |
---|
| 673 | for j in range(len(self.subplots)): |
---|
| 674 | lines = [] |
---|
| 675 | labels = [] |
---|
| 676 | i = 0 |
---|
| 677 | for line in self.subplots[j]['lines']: |
---|
| 678 | i += 1 |
---|
| 679 | if line is not None: |
---|
| 680 | lines.append(line[0]) |
---|
| 681 | lbl = line[0].get_label() |
---|
| 682 | if lbl == '': |
---|
| 683 | lbl = str(i) |
---|
| 684 | labels.append(lbl) |
---|
[705] | 685 | |
---|
[1019] | 686 | if len(lines): |
---|
| 687 | self.subplots[j]['axes'].legend(tuple(lines), |
---|
| 688 | tuple(labels), |
---|
| 689 | self.loc) |
---|
| 690 | else: |
---|
| 691 | self.subplots[j]['axes'].legend((' ')) |
---|
[705] | 692 | |
---|
| 693 | |
---|
| 694 | def subplot(self, i=None, inc=None): |
---|
[1019] | 695 | """ |
---|
| 696 | Set the subplot to the 0-relative panel number as defined by one or |
---|
| 697 | more invokations of set_panels(). |
---|
| 698 | """ |
---|
| 699 | l = len(self.subplots) |
---|
| 700 | if l: |
---|
| 701 | if i is not None: |
---|
| 702 | self.i = i |
---|
[705] | 703 | |
---|
[1019] | 704 | if inc is not None: |
---|
| 705 | self.i += inc |
---|
[705] | 706 | |
---|
[1019] | 707 | self.i %= l |
---|
| 708 | self.axes = self.subplots[self.i]['axes'] |
---|
| 709 | self.lines = self.subplots[self.i]['lines'] |
---|
[705] | 710 | |
---|
| 711 | |
---|
| 712 | def text(self, *args, **kwargs): |
---|
[1019] | 713 | """ |
---|
| 714 | Add text to the figure. |
---|
| 715 | """ |
---|
| 716 | self.figure.text(*args, **kwargs) |
---|
| 717 | self.show() |
---|