[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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[1019] | 15 | from matplotlib.ticker import ScalarFormatter
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| 16 | from matplotlib.ticker import NullLocator
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| 17 |
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| 18 | class MyFormatter(ScalarFormatter):
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| 19 | def __call__(self, x, pos=None):
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[1025] | 20 | #last = len(self.locs)-2
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| 21 | if pos==0:
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| 22 | return ''
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[1019] | 23 | else: return ScalarFormatter.__call__(self, x, pos)
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| 24 |
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[705] | 25 | class asaplotbase:
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| 26 | """
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| 27 | ASAP plotting base class based on matplotlib.
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| 28 | """
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| 29 |
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| 30 | def __init__(self, rows=1, cols=0, title='', size=(8,6), buffering=False):
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[1019] | 31 | """
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| 32 | Create a new instance of the ASAPlot plotting class.
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[705] | 33 |
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[1019] | 34 | If rows < 1 then a separate call to set_panels() is required to define
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| 35 | the panel layout; refer to the doctext for set_panels().
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| 36 | """
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[705] | 37 | self.is_dead = False
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[1019] | 38 | self.figure = Figure(figsize=size, facecolor='#ddddee')
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[705] | 39 | self.canvas = None
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| 40 |
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[1019] | 41 | self.set_title(title)
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| 42 | self.subplots = []
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| 43 | if rows > 0:
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| 44 | self.set_panels(rows, cols)
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[705] | 45 |
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[710] | 46 | # Set matplotlib default colour sequence.
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| 47 | self.colormap = "green red black cyan magenta orange blue purple yellow pink".split()
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[1019] | 48 |
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[710] | 49 | c = asaprcParams['plotter.colours']
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| 50 | if isinstance(c,str) and len(c) > 0:
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| 51 | self.colormap = c.split()
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| 52 |
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| 53 | self.lsalias = {"line": [1,0],
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| 54 | "dashdot": [4,2,1,2],
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| 55 | "dashed" : [4,2,4,2],
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| 56 | "dotted" : [1,2],
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| 57 | "dashdotdot": [4,2,1,2,1,2],
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| 58 | "dashdashdot": [4,2,4,2,1,2]
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| 59 | }
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| 60 |
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| 61 | styles = "line dashed dotted dashdot".split()
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| 62 | c = asaprcParams['plotter.linestyles']
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| 63 | if isinstance(c,str) and len(c) > 0:
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| 64 | styles = c.split()
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| 65 | s = []
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| 66 | for ls in styles:
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| 67 | if self.lsalias.has_key(ls):
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| 68 | s.append(self.lsalias.get(ls))
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| 69 | else:
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| 70 | s.append('-')
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| 71 | self.linestyles = s
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| 72 |
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[705] | 73 | self.color = 0;
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[710] | 74 | self.linestyle = 0;
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[1019] | 75 | self.attributes = {}
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| 76 | self.loc = 0
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[705] | 77 |
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[1019] | 78 | self.buffering = buffering
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[705] | 79 |
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| 80 | def clear(self):
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[1019] | 81 | """
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| 82 | Delete all lines from the plot. Line numbering will restart from 1.
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| 83 | """
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[705] | 84 |
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[1019] | 85 | for i in range(len(self.lines)):
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| 86 | self.delete(i)
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| 87 | self.axes.clear()
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| 88 | self.color = 0
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| 89 | self.lines = []
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[705] | 90 |
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[710] | 91 | def palette(self, color, colormap=None, linestyle=0, linestyles=None):
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[705] | 92 | if colormap:
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[710] | 93 | if isinstance(colormap,list):
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| 94 | self.colormap = colormap
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| 95 | elif isinstance(colormap,str):
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| 96 | self.colormap = colormap.split()
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[705] | 97 | if 0 <= color < len(self.colormap):
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| 98 | self.color = color
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[710] | 99 | if linestyles:
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| 100 | self.linestyles = []
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| 101 | if isinstance(linestyles,list):
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| 102 | styles = linestyles
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| 103 | elif isinstance(linestyles,str):
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| 104 | styles = linestyles.split()
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| 105 | for ls in styles:
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| 106 | if self.lsalias.has_key(ls):
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| 107 | self.linestyles.append(self.lsalias.get(ls))
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| 108 | else:
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| 109 | self.linestyles.append(self.lsalias.get('line'))
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| 110 | if 0 <= linestyle < len(self.linestyles):
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| 111 | self.linestyle = linestyle
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[705] | 112 |
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| 113 | def delete(self, numbers=None):
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[1019] | 114 | """
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| 115 | Delete the 0-relative line number, default is to delete the last.
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| 116 | The remaining lines are NOT renumbered.
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| 117 | """
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[705] | 118 |
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[1019] | 119 | if numbers is None: numbers = [len(self.lines)-1]
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[705] | 120 |
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[1019] | 121 | if not hasattr(numbers, '__iter__'):
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| 122 | numbers = [numbers]
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[705] | 123 |
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[1019] | 124 | for number in numbers:
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| 125 | if 0 <= number < len(self.lines):
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| 126 | if self.lines[number] is not None:
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| 127 | for line in self.lines[number]:
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| 128 | line.set_linestyle('None')
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| 129 | self.lines[number] = None
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| 130 | self.show()
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[705] | 131 |
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| 132 | def get_line(self):
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[1019] | 133 | """
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| 134 | Get the current default line attributes.
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| 135 | """
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| 136 | return self.attributes
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[705] | 137 |
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| 138 |
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[1023] | 139 | def hist(self, x=None, y=None, msk=None, fmt=None, add=None):
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[1019] | 140 | """
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| 141 | Plot a histogram. N.B. the x values refer to the start of the
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| 142 | histogram bin.
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[705] | 143 |
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[1019] | 144 | fmt is the line style as in plot().
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| 145 | """
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[705] | 146 |
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[1019] | 147 | if x is None:
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| 148 | if y is None: return
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[1023] | 149 | x = range(len(y))
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[705] | 150 |
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[1019] | 151 | if len(x) != len(y):
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| 152 | return
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| 153 | l2 = 2*len(x)
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[1023] | 154 | x2 = range(l2)
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| 155 | y2 = range(l2)
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| 156 | m2 = range(l2)
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[705] | 157 |
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[1023] | 158 | for i in range(l2):
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[1019] | 159 | x2[i] = x[i/2]
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[1023] | 160 | m2[i] = msk[i/2]
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[705] | 161 |
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[1023] | 162 | y2[0] = 0.0
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[1019] | 163 | for i in range(1,l2):
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| 164 | y2[i] = y[(i-1)/2]
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[705] | 165 |
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[1023] | 166 | self.plot(x2, y2, m2, fmt, add)
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[705] | 167 |
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| 168 |
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| 169 | def hold(self, hold=True):
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[1019] | 170 | """
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| 171 | Buffer graphics until subsequently released.
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| 172 | """
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| 173 | self.buffering = hold
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[705] | 174 |
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| 175 |
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| 176 | def legend(self, loc=None):
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[1019] | 177 | """
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| 178 | Add a legend to the plot.
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[705] | 179 |
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[1019] | 180 | Any other value for loc else disables the legend:
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| 181 | 1: upper right
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| 182 | 2: upper left
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| 183 | 3: lower left
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| 184 | 4: lower right
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| 185 | 5: right
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| 186 | 6: center left
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| 187 | 7: center right
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| 188 | 8: lower center
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| 189 | 9: upper center
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| 190 | 10: center
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[705] | 191 |
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[1019] | 192 | """
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[705] | 193 | if isinstance(loc,int):
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| 194 | if 0 > loc > 10: loc = 0
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| 195 | self.loc = loc
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[1019] | 196 | self.show()
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[705] | 197 |
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| 198 |
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| 199 | def plot(self, x=None, y=None, mask=None, fmt=None, add=None):
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[1019] | 200 | """
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| 201 | Plot the next line in the current frame using the current line
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| 202 | attributes. The ASAPlot graphics window will be mapped and raised.
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[705] | 203 |
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[1019] | 204 | The argument list works a bit like the matlab plot() function.
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| 205 | """
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| 206 | if x is None:
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| 207 | if y is None: return
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| 208 | x = range(len(y))
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[705] | 209 |
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[1019] | 210 | elif y is None:
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| 211 | y = x
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| 212 | x = range(len(y))
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[705] | 213 |
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[1025] | 214 | ax = self.axes
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| 215 | s = ax.title.get_size()
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| 216 | tsize = s-(self.cols+self.rows)/2
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| 217 | ax.title.set_size(tsize)
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[1027] | 218 | origx = ax.xaxis.label.get_size() #rcParams['xtick.labelsize']
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| 219 | origy = ax.yaxis.label.get_size() #rcParams['ytick.labelsize']
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[1025] | 220 | if self.cols > 1:
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| 221 | xfsize = origx-(self.cols)/2
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| 222 | #rc('xtick',labelsize=xfsize)
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| 223 | ax.xaxis.label.set_size(xfsize)
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| 224 | if self.rows > 1:
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| 225 | yfsize = origy-(self.rows)/2
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| 226 | #rc('ytick',labelsize=yfsize)
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| 227 | ax.yaxis.label.set_size(yfsize)
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[1019] | 228 | if mask is None:
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| 229 | if fmt is None:
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| 230 | line = self.axes.plot(x, y)
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| 231 | else:
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| 232 | line = self.axes.plot(x, y, fmt)
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| 233 | else:
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| 234 | segments = []
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[705] | 235 |
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[1019] | 236 | mask = list(mask)
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| 237 | i = 0
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| 238 | while mask[i:].count(1):
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| 239 | i += mask[i:].index(1)
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| 240 | if mask[i:].count(0):
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| 241 | j = i + mask[i:].index(0)
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| 242 | else:
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| 243 | j = len(mask)
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[705] | 244 |
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[1019] | 245 | segments.append(x[i:j])
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| 246 | segments.append(y[i:j])
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[705] | 247 |
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[1019] | 248 | i = j
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[705] | 249 |
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[1019] | 250 | line = self.axes.plot(*segments)
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[1025] | 251 | #rc('xtick',labelsize=origx)
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| 252 | #rc('ytick',labelsize=origy)
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| 253 |
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[1019] | 254 | # Add to an existing line?
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| 255 | if add is None or len(self.lines) < add < 0:
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| 256 | # Don't add.
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| 257 | self.lines.append(line)
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| 258 | i = len(self.lines) - 1
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| 259 | else:
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| 260 | if add == 0: add = len(self.lines)
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| 261 | i = add - 1
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| 262 | self.lines[i].extend(line)
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[705] | 263 |
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[1019] | 264 | # Set/reset attributes for the line.
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| 265 | gotcolour = False
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| 266 | for k, v in self.attributes.iteritems():
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| 267 | if k == 'color': gotcolour = True
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| 268 | for segment in self.lines[i]:
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| 269 | getattr(segment, "set_%s"%k)(v)
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[705] | 270 |
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[1019] | 271 | if not gotcolour and len(self.colormap):
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| 272 | for segment in self.lines[i]:
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| 273 | getattr(segment, "set_color")(self.colormap[self.color])
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[710] | 274 | if len(self.colormap) == 1:
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| 275 | getattr(segment, "set_dashes")(self.linestyles[self.linestyle])
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[1019] | 276 | self.color += 1
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| 277 | if self.color >= len(self.colormap):
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| 278 | self.color = 0
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[705] | 279 |
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[710] | 280 | if len(self.colormap) == 1:
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| 281 | self.linestyle += 1
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[1019] | 282 | if self.linestyle >= len(self.linestyles):
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| 283 | self.linestyle = 0
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[710] | 284 |
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[1019] | 285 | self.show()
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[705] | 286 |
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| 287 |
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| 288 | def position(self):
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[1019] | 289 | """
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| 290 | Use the mouse to get a position from a graph.
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| 291 | """
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[705] | 292 |
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[1019] | 293 | def position_disable(event):
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| 294 | self.register('button_press', None)
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| 295 | print '%.4f, %.4f' % (event.xdata, event.ydata)
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[705] | 296 |
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[1019] | 297 | print 'Press any mouse button...'
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| 298 | self.register('button_press', position_disable)
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[705] | 299 |
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| 300 |
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| 301 | def region(self):
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[1019] | 302 | """
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| 303 | Use the mouse to get a rectangular region from a plot.
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[705] | 304 |
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[1019] | 305 | The return value is [x0, y0, x1, y1] in world coordinates.
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| 306 | """
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[705] | 307 |
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[1019] | 308 | def region_start(event):
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| 309 | height = self.canvas.figure.bbox.height()
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| 310 | self.rect = {'fig': None, 'height': height,
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| 311 | 'x': event.x, 'y': height - event.y,
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| 312 | 'world': [event.xdata, event.ydata,
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| 313 | event.xdata, event.ydata]}
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| 314 | self.register('button_press', None)
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| 315 | self.register('motion_notify', region_draw)
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| 316 | self.register('button_release', region_disable)
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[705] | 317 |
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[1019] | 318 | def region_draw(event):
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| 319 | self.canvas._tkcanvas.delete(self.rect['fig'])
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| 320 | self.rect['fig'] = self.canvas._tkcanvas.create_rectangle(
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| 321 | self.rect['x'], self.rect['y'],
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| 322 | event.x, self.rect['height'] - event.y)
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[705] | 323 |
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[1019] | 324 | def region_disable(event):
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| 325 | self.register('motion_notify', None)
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| 326 | self.register('button_release', None)
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[705] | 327 |
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[1019] | 328 | self.canvas._tkcanvas.delete(self.rect['fig'])
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[705] | 329 |
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[1019] | 330 | self.rect['world'][2:4] = [event.xdata, event.ydata]
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| 331 | print '(%.2f, %.2f) (%.2f, %.2f)' % (self.rect['world'][0],
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| 332 | self.rect['world'][1], self.rect['world'][2],
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| 333 | self.rect['world'][3])
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[705] | 334 |
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[1019] | 335 | self.register('button_press', region_start)
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[705] | 336 |
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[1019] | 337 | # This has to be modified to block and return the result (currently
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| 338 | # printed by region_disable) when that becomes possible in matplotlib.
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[705] | 339 |
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[1019] | 340 | return [0.0, 0.0, 0.0, 0.0]
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[705] | 341 |
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| 342 |
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| 343 | def register(self, type=None, func=None):
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[1019] | 344 | """
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| 345 | Register, reregister, or deregister events of type 'button_press',
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| 346 | 'button_release', or 'motion_notify'.
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[705] | 347 |
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[1019] | 348 | The specified callback function should have the following signature:
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[705] | 349 |
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[1019] | 350 | def func(event)
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[705] | 351 |
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[1019] | 352 | where event is an MplEvent instance containing the following data:
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[705] | 353 |
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[1019] | 354 | name # Event name.
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| 355 | canvas # FigureCanvas instance generating the event.
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| 356 | x = None # x position - pixels from left of canvas.
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| 357 | y = None # y position - pixels from bottom of canvas.
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| 358 | button = None # Button pressed: None, 1, 2, 3.
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| 359 | key = None # Key pressed: None, chr(range(255)), shift,
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| 360 | win, or control
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| 361 | inaxes = None # Axes instance if cursor within axes.
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| 362 | xdata = None # x world coordinate.
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| 363 | ydata = None # y world coordinate.
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[705] | 364 |
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[1019] | 365 | For example:
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[705] | 366 |
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[1019] | 367 | def mouse_move(event):
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| 368 | print event.xdata, event.ydata
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[705] | 369 |
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[1019] | 370 | a = asaplot()
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| 371 | a.register('motion_notify', mouse_move)
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[705] | 372 |
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[1019] | 373 | If func is None, the event is deregistered.
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[705] | 374 |
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[1019] | 375 | Note that in TkAgg keyboard button presses don't generate an event.
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| 376 | """
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[705] | 377 |
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[1019] | 378 | if not self.events.has_key(type): return
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[705] | 379 |
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[1019] | 380 | if func is None:
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| 381 | if self.events[type] is not None:
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| 382 | # It's not clear that this does anything.
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| 383 | self.canvas.mpl_disconnect(self.events[type])
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| 384 | self.events[type] = None
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[705] | 385 |
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[1019] | 386 | # It seems to be necessary to return events to the toolbar.
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| 387 | if type == 'motion_notify':
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| 388 | self.canvas.mpl_connect(type + '_event',
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| 389 | self.figmgr.toolbar.mouse_move)
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| 390 | elif type == 'button_press':
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| 391 | self.canvas.mpl_connect(type + '_event',
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| 392 | self.figmgr.toolbar.press)
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| 393 | elif type == 'button_release':
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| 394 | self.canvas.mpl_connect(type + '_event',
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| 395 | self.figmgr.toolbar.release)
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[705] | 396 |
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[1019] | 397 | else:
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| 398 | self.events[type] = self.canvas.mpl_connect(type + '_event', func)
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[705] | 399 |
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| 400 |
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| 401 | def release(self):
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[1019] | 402 | """
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| 403 | Release buffered graphics.
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| 404 | """
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| 405 | self.buffering = False
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| 406 | self.show()
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[705] | 407 |
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| 408 |
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| 409 | def save(self, fname=None, orientation=None, dpi=None):
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[1019] | 410 | """
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| 411 | Save the plot to a file.
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[705] | 412 |
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[1019] | 413 | fname is the name of the output file. The image format is determined
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| 414 | from the file suffix; 'png', 'ps', and 'eps' are recognized. If no
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| 415 | file name is specified 'yyyymmdd_hhmmss.png' is created in the current
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| 416 | directory.
|
---|
| 417 | """
|
---|
| 418 | if fname is None:
|
---|
| 419 | from datetime import datetime
|
---|
| 420 | dstr = datetime.now().strftime('%Y%m%d_%H%M%S')
|
---|
| 421 | fname = 'asap'+dstr+'.png'
|
---|
[705] | 422 |
|
---|
[1019] | 423 | d = ['png','.ps','eps']
|
---|
[705] | 424 |
|
---|
[1019] | 425 | from os.path import expandvars
|
---|
| 426 | fname = expandvars(fname)
|
---|
[705] | 427 |
|
---|
[1019] | 428 | if fname[-3:].lower() in d:
|
---|
| 429 | try:
|
---|
[705] | 430 | if fname[-3:].lower() == ".ps":
|
---|
[1020] | 431 | from matplotlib import __version__ as mv
|
---|
[705] | 432 | w = self.figure.figwidth.get()
|
---|
[1019] | 433 | h = self.figure.figheight.get()
|
---|
| 434 |
|
---|
[705] | 435 | if orientation is None:
|
---|
| 436 | # auto oriented
|
---|
| 437 | if w > h:
|
---|
| 438 | orientation = 'landscape'
|
---|
| 439 | else:
|
---|
| 440 | orientation = 'portrait'
|
---|
[1025] | 441 | a4w = 8.25
|
---|
| 442 | a4h = 11.25
|
---|
| 443 | ds = None
|
---|
| 444 | if orientation == 'landscape':
|
---|
| 445 | ds = min(a4h/w,a4w/h)
|
---|
| 446 | else:
|
---|
| 447 | ds = min(a4w/w,a4h/h)
|
---|
| 448 | ow = ds * w
|
---|
| 449 | oh = ds * h
|
---|
| 450 | self.figure.set_figsize_inches((ow,oh))
|
---|
[1032] | 451 | from matplotlib import __version__ as mv
|
---|
| 452 | # hack to circument ps bug in eraly versions of mpl
|
---|
| 453 | if int(mv.split(".")[1]) < 87:
|
---|
| 454 | self.figure.savefig(fname, orientation=orientation)
|
---|
| 455 | else:
|
---|
| 456 | self.figure.savefig(fname, orientation=orientation,
|
---|
| 457 | papertype="a4")
|
---|
[1025] | 458 | self.figure.set_figsize_inches((w,h))
|
---|
[705] | 459 | print 'Written file %s' % (fname)
|
---|
[1019] | 460 | else:
|
---|
[705] | 461 | if dpi is None:
|
---|
| 462 | dpi =150
|
---|
[1025] | 463 | self.figure.savefig(fname,dpi=dpi)
|
---|
[705] | 464 | print 'Written file %s' % (fname)
|
---|
[1019] | 465 | except IOError, msg:
|
---|
| 466 | print 'Failed to save %s: Error msg was\n\n%s' % (fname, err)
|
---|
| 467 | return
|
---|
| 468 | else:
|
---|
| 469 | print "Invalid image type. Valid types are:"
|
---|
| 470 | print "'ps', 'eps', 'png'"
|
---|
[705] | 471 |
|
---|
| 472 |
|
---|
| 473 | def set_axes(self, what=None, *args, **kwargs):
|
---|
[1019] | 474 | """
|
---|
| 475 | Set attributes for the axes by calling the relevant Axes.set_*()
|
---|
| 476 | method. Colour translation is done as described in the doctext
|
---|
| 477 | for palette().
|
---|
| 478 | """
|
---|
[705] | 479 |
|
---|
[1019] | 480 | if what is None: return
|
---|
| 481 | if what[-6:] == 'colour': what = what[:-6] + 'color'
|
---|
[705] | 482 |
|
---|
[1019] | 483 | newargs = {}
|
---|
[705] | 484 |
|
---|
[1019] | 485 | for k, v in kwargs.iteritems():
|
---|
| 486 | k = k.lower()
|
---|
| 487 | if k == 'colour': k = 'color'
|
---|
| 488 | newargs[k] = v
|
---|
[705] | 489 |
|
---|
[1019] | 490 | getattr(self.axes, "set_%s"%what)(*args, **newargs)
|
---|
[705] | 491 |
|
---|
[1019] | 492 | self.show()
|
---|
| 493 |
|
---|
| 494 |
|
---|
[705] | 495 | def set_figure(self, what=None, *args, **kwargs):
|
---|
[1019] | 496 | """
|
---|
| 497 | Set attributes for the figure by calling the relevant Figure.set_*()
|
---|
| 498 | method. Colour translation is done as described in the doctext
|
---|
| 499 | for palette().
|
---|
| 500 | """
|
---|
[705] | 501 |
|
---|
[1019] | 502 | if what is None: return
|
---|
| 503 | if what[-6:] == 'colour': what = what[:-6] + 'color'
|
---|
| 504 | #if what[-5:] == 'color' and len(args):
|
---|
| 505 | # args = (get_colour(args[0]),)
|
---|
[705] | 506 |
|
---|
[1019] | 507 | newargs = {}
|
---|
| 508 | for k, v in kwargs.iteritems():
|
---|
| 509 | k = k.lower()
|
---|
| 510 | if k == 'colour': k = 'color'
|
---|
| 511 | newargs[k] = v
|
---|
[705] | 512 |
|
---|
[1019] | 513 | getattr(self.figure, "set_%s"%what)(*args, **newargs)
|
---|
| 514 | self.show()
|
---|
[705] | 515 |
|
---|
| 516 |
|
---|
| 517 | def set_limits(self, xlim=None, ylim=None):
|
---|
[1019] | 518 | """
|
---|
| 519 | Set x-, and y-limits for each subplot.
|
---|
[705] | 520 |
|
---|
[1019] | 521 | xlim = [xmin, xmax] as in axes.set_xlim().
|
---|
| 522 | ylim = [ymin, ymax] as in axes.set_ylim().
|
---|
| 523 | """
|
---|
| 524 | for s in self.subplots:
|
---|
| 525 | self.axes = s['axes']
|
---|
| 526 | self.lines = s['lines']
|
---|
[705] | 527 | oldxlim = list(self.axes.get_xlim())
|
---|
| 528 | oldylim = list(self.axes.get_ylim())
|
---|
| 529 | if xlim is not None:
|
---|
| 530 | for i in range(len(xlim)):
|
---|
| 531 | if xlim[i] is not None:
|
---|
| 532 | oldxlim[i] = xlim[i]
|
---|
[1019] | 533 | if ylim is not None:
|
---|
[705] | 534 | for i in range(len(ylim)):
|
---|
| 535 | if ylim[i] is not None:
|
---|
| 536 | oldylim[i] = ylim[i]
|
---|
| 537 | self.axes.set_xlim(oldxlim)
|
---|
| 538 | self.axes.set_ylim(oldylim)
|
---|
| 539 | return
|
---|
| 540 |
|
---|
| 541 |
|
---|
| 542 | def set_line(self, number=None, **kwargs):
|
---|
[1019] | 543 | """
|
---|
| 544 | Set attributes for the specified line, or else the next line(s)
|
---|
| 545 | to be plotted.
|
---|
[705] | 546 |
|
---|
[1019] | 547 | number is the 0-relative number of a line that has already been
|
---|
| 548 | plotted. If no such line exists, attributes are recorded and used
|
---|
| 549 | for the next line(s) to be plotted.
|
---|
[705] | 550 |
|
---|
[1019] | 551 | Keyword arguments specify Line2D attributes, e.g. color='r'. Do
|
---|
[705] | 552 |
|
---|
[1019] | 553 | import matplotlib
|
---|
| 554 | help(matplotlib.lines)
|
---|
[705] | 555 |
|
---|
[1019] | 556 | The set_* methods of class Line2D define the attribute names and
|
---|
| 557 | values. For non-US usage, "colour" is recognized as synonymous with
|
---|
| 558 | "color".
|
---|
[705] | 559 |
|
---|
[1019] | 560 | Set the value to None to delete an attribute.
|
---|
[705] | 561 |
|
---|
[1019] | 562 | Colour translation is done as described in the doctext for palette().
|
---|
| 563 | """
|
---|
[705] | 564 |
|
---|
[1019] | 565 | redraw = False
|
---|
| 566 | for k, v in kwargs.iteritems():
|
---|
| 567 | k = k.lower()
|
---|
| 568 | if k == 'colour': k = 'color'
|
---|
[705] | 569 |
|
---|
[1019] | 570 | if 0 <= number < len(self.lines):
|
---|
| 571 | if self.lines[number] is not None:
|
---|
| 572 | for line in self.lines[number]:
|
---|
| 573 | getattr(line, "set_%s"%k)(v)
|
---|
| 574 | redraw = True
|
---|
| 575 | else:
|
---|
| 576 | if v is None:
|
---|
| 577 | del self.attributes[k]
|
---|
| 578 | else:
|
---|
| 579 | self.attributes[k] = v
|
---|
[705] | 580 |
|
---|
[1019] | 581 | if redraw: self.show()
|
---|
[705] | 582 |
|
---|
| 583 |
|
---|
| 584 | def set_panels(self, rows=1, cols=0, n=-1, nplots=-1, ganged=True):
|
---|
[1019] | 585 | """
|
---|
| 586 | Set the panel layout.
|
---|
[705] | 587 |
|
---|
[1019] | 588 | rows and cols, if cols != 0, specify the number of rows and columns in
|
---|
| 589 | a regular layout. (Indexing of these panels in matplotlib is row-
|
---|
| 590 | major, i.e. column varies fastest.)
|
---|
[705] | 591 |
|
---|
[1019] | 592 | cols == 0 is interpreted as a retangular layout that accomodates
|
---|
| 593 | 'rows' panels, e.g. rows == 6, cols == 0 is equivalent to
|
---|
| 594 | rows == 2, cols == 3.
|
---|
[705] | 595 |
|
---|
[1019] | 596 | 0 <= n < rows*cols is interpreted as the 0-relative panel number in
|
---|
| 597 | the configuration specified by rows and cols to be added to the
|
---|
| 598 | current figure as its next 0-relative panel number (i). This allows
|
---|
| 599 | non-regular panel layouts to be constructed via multiple calls. Any
|
---|
| 600 | other value of n clears the plot and produces a rectangular array of
|
---|
| 601 | empty panels. The number of these may be limited by nplots.
|
---|
| 602 | """
|
---|
| 603 | if n < 0 and len(self.subplots):
|
---|
| 604 | self.figure.clear()
|
---|
| 605 | self.set_title()
|
---|
[705] | 606 |
|
---|
[1019] | 607 | if rows < 1: rows = 1
|
---|
[705] | 608 |
|
---|
[1019] | 609 | if cols <= 0:
|
---|
| 610 | i = int(sqrt(rows))
|
---|
| 611 | if i*i < rows: i += 1
|
---|
| 612 | cols = i
|
---|
[705] | 613 |
|
---|
[1019] | 614 | if i*(i-1) >= rows: i -= 1
|
---|
| 615 | rows = i
|
---|
[705] | 616 |
|
---|
[1019] | 617 | if 0 <= n < rows*cols:
|
---|
| 618 | i = len(self.subplots)
|
---|
| 619 | self.subplots.append({})
|
---|
[705] | 620 |
|
---|
[1019] | 621 | self.subplots[i]['axes'] = self.figure.add_subplot(rows,
|
---|
| 622 | cols, n+1)
|
---|
| 623 | self.subplots[i]['lines'] = []
|
---|
[705] | 624 |
|
---|
[1019] | 625 | if i == 0: self.subplot(0)
|
---|
[705] | 626 |
|
---|
[1019] | 627 | self.rows = 0
|
---|
| 628 | self.cols = 0
|
---|
[705] | 629 |
|
---|
[1019] | 630 | else:
|
---|
| 631 | self.subplots = []
|
---|
[705] | 632 |
|
---|
[1019] | 633 | if nplots < 1 or rows*cols < nplots:
|
---|
| 634 | nplots = rows*cols
|
---|
[1025] | 635 | if ganged:
|
---|
| 636 | hsp,wsp = None,None
|
---|
| 637 | if rows > 1: hsp = 0.0001
|
---|
| 638 | if cols > 1: wsp = 0.0001
|
---|
| 639 | self.figure.subplots_adjust(wspace=wsp,hspace=hsp)
|
---|
[1019] | 640 | for i in range(nplots):
|
---|
| 641 | self.subplots.append({})
|
---|
[1025] | 642 | self.subplots[i]['axes'] = self.figure.add_subplot(rows,
|
---|
[1019] | 643 | cols, i+1)
|
---|
| 644 | self.subplots[i]['lines'] = []
|
---|
| 645 |
|
---|
[705] | 646 | if ganged:
|
---|
| 647 | # Suppress tick labelling for interior subplots.
|
---|
| 648 | if i <= (rows-1)*cols - 1:
|
---|
| 649 | if i+cols < nplots:
|
---|
| 650 | # Suppress x-labels for frames width
|
---|
| 651 | # adjacent frames
|
---|
[1019] | 652 | self.subplots[i]['axes'].xaxis.set_major_locator(NullLocator())
|
---|
| 653 | self.subplots[i]['axes'].xaxis.label.set_visible(False)
|
---|
[705] | 654 | if i%cols:
|
---|
| 655 | # Suppress y-labels for frames not in the left column.
|
---|
| 656 | for tick in self.subplots[i]['axes'].yaxis.majorTicks:
|
---|
| 657 | tick.label1On = False
|
---|
| 658 | self.subplots[i]['axes'].yaxis.label.set_visible(False)
|
---|
[1025] | 659 | # disable the first tick of [1:ncol-1] of the last row
|
---|
| 660 | if (nplots-cols) < i <= nplots-1:
|
---|
[1019] | 661 | self.subplots[i]['axes'].xaxis.set_major_formatter(MyFormatter())
|
---|
| 662 | self.rows = rows
|
---|
| 663 | self.cols = cols
|
---|
| 664 | self.subplot(0)
|
---|
[705] | 665 |
|
---|
| 666 | def set_title(self, title=None):
|
---|
[1019] | 667 | """
|
---|
| 668 | Set the title of the plot window. Use the previous title if title is
|
---|
| 669 | omitted.
|
---|
| 670 | """
|
---|
| 671 | if title is not None:
|
---|
| 672 | self.title = title
|
---|
[705] | 673 |
|
---|
[1019] | 674 | self.figure.text(0.5, 0.95, self.title, horizontalalignment='center')
|
---|
[705] | 675 |
|
---|
| 676 |
|
---|
| 677 | def show(self):
|
---|
[1019] | 678 | """
|
---|
| 679 | Show graphics dependent on the current buffering state.
|
---|
| 680 | """
|
---|
| 681 | if not self.buffering:
|
---|
| 682 | if self.loc is not None:
|
---|
| 683 | for j in range(len(self.subplots)):
|
---|
| 684 | lines = []
|
---|
| 685 | labels = []
|
---|
| 686 | i = 0
|
---|
| 687 | for line in self.subplots[j]['lines']:
|
---|
| 688 | i += 1
|
---|
| 689 | if line is not None:
|
---|
| 690 | lines.append(line[0])
|
---|
| 691 | lbl = line[0].get_label()
|
---|
| 692 | if lbl == '':
|
---|
| 693 | lbl = str(i)
|
---|
| 694 | labels.append(lbl)
|
---|
[705] | 695 |
|
---|
[1019] | 696 | if len(lines):
|
---|
| 697 | self.subplots[j]['axes'].legend(tuple(lines),
|
---|
| 698 | tuple(labels),
|
---|
| 699 | self.loc)
|
---|
| 700 | else:
|
---|
| 701 | self.subplots[j]['axes'].legend((' '))
|
---|
[705] | 702 |
|
---|
| 703 |
|
---|
| 704 | def subplot(self, i=None, inc=None):
|
---|
[1019] | 705 | """
|
---|
| 706 | Set the subplot to the 0-relative panel number as defined by one or
|
---|
| 707 | more invokations of set_panels().
|
---|
| 708 | """
|
---|
| 709 | l = len(self.subplots)
|
---|
| 710 | if l:
|
---|
| 711 | if i is not None:
|
---|
| 712 | self.i = i
|
---|
[705] | 713 |
|
---|
[1019] | 714 | if inc is not None:
|
---|
| 715 | self.i += inc
|
---|
[705] | 716 |
|
---|
[1019] | 717 | self.i %= l
|
---|
| 718 | self.axes = self.subplots[self.i]['axes']
|
---|
| 719 | self.lines = self.subplots[self.i]['lines']
|
---|
[705] | 720 |
|
---|
| 721 |
|
---|
| 722 | def text(self, *args, **kwargs):
|
---|
[1019] | 723 | """
|
---|
| 724 | Add text to the figure.
|
---|
| 725 | """
|
---|
| 726 | self.figure.text(*args, **kwargs)
|
---|
| 727 | self.show()
|
---|