[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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[1147] | 11 | from matplotlib.font_manager import FontProperties as FP |
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[705] | 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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[1259] | 15 | from matplotlib.ticker import OldScalarFormatter |
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[1019] | 16 | from matplotlib.ticker import NullLocator |
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[1147] | 17 | from matplotlib.transforms import blend_xy_sep_transform |
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| 18 | |
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[1095] | 19 | if int(matplotlib.__version__.split(".")[1]) < 87: |
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| 20 | print "Warning: matplotlib version < 0.87. This might cause errors. Please upgrade." |
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[1019] | 21 | |
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[1259] | 22 | #class MyFormatter(OldScalarFormatter): |
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| 23 | # def __call__(self, x, pos=None): |
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| 24 | # last = len(self.locs)-2 |
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| 25 | # if pos==0: |
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| 26 | # return '' |
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| 27 | # else: return OldScalarFormatter.__call__(self, x, pos) |
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[1019] | 28 | |
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[705] | 29 | class asaplotbase: |
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| 30 | """ |
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| 31 | ASAP plotting base class based on matplotlib. |
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| 32 | """ |
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| 33 | |
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| 34 | def __init__(self, rows=1, cols=0, title='', size=(8,6), buffering=False): |
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[1019] | 35 | """ |
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| 36 | Create a new instance of the ASAPlot plotting class. |
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[705] | 37 | |
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[1019] | 38 | If rows < 1 then a separate call to set_panels() is required to define |
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| 39 | the panel layout; refer to the doctext for set_panels(). |
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| 40 | """ |
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[705] | 41 | self.is_dead = False |
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[1019] | 42 | self.figure = Figure(figsize=size, facecolor='#ddddee') |
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[705] | 43 | self.canvas = None |
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| 44 | |
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[1019] | 45 | self.set_title(title) |
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| 46 | self.subplots = [] |
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| 47 | if rows > 0: |
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| 48 | self.set_panels(rows, cols) |
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[705] | 49 | |
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[710] | 50 | # Set matplotlib default colour sequence. |
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| 51 | self.colormap = "green red black cyan magenta orange blue purple yellow pink".split() |
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[1019] | 52 | |
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[710] | 53 | c = asaprcParams['plotter.colours'] |
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| 54 | if isinstance(c,str) and len(c) > 0: |
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| 55 | self.colormap = c.split() |
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| 56 | |
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| 57 | self.lsalias = {"line": [1,0], |
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| 58 | "dashdot": [4,2,1,2], |
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| 59 | "dashed" : [4,2,4,2], |
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| 60 | "dotted" : [1,2], |
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| 61 | "dashdotdot": [4,2,1,2,1,2], |
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| 62 | "dashdashdot": [4,2,4,2,1,2] |
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| 63 | } |
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| 64 | |
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| 65 | styles = "line dashed dotted dashdot".split() |
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| 66 | c = asaprcParams['plotter.linestyles'] |
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| 67 | if isinstance(c,str) and len(c) > 0: |
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| 68 | styles = c.split() |
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| 69 | s = [] |
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| 70 | for ls in styles: |
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| 71 | if self.lsalias.has_key(ls): |
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| 72 | s.append(self.lsalias.get(ls)) |
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| 73 | else: |
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| 74 | s.append('-') |
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| 75 | self.linestyles = s |
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| 76 | |
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[705] | 77 | self.color = 0; |
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[710] | 78 | self.linestyle = 0; |
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[1019] | 79 | self.attributes = {} |
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| 80 | self.loc = 0 |
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[705] | 81 | |
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[1019] | 82 | self.buffering = buffering |
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[705] | 83 | |
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| 84 | def clear(self): |
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[1019] | 85 | """ |
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[1147] | 86 | Delete all lines from the plot. Line numbering will restart from 0. |
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[1019] | 87 | """ |
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[705] | 88 | |
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[1019] | 89 | for i in range(len(self.lines)): |
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| 90 | self.delete(i) |
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| 91 | self.axes.clear() |
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| 92 | self.color = 0 |
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| 93 | self.lines = [] |
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[705] | 94 | |
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[710] | 95 | def palette(self, color, colormap=None, linestyle=0, linestyles=None): |
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[705] | 96 | if colormap: |
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[710] | 97 | if isinstance(colormap,list): |
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| 98 | self.colormap = colormap |
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| 99 | elif isinstance(colormap,str): |
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| 100 | self.colormap = colormap.split() |
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[705] | 101 | if 0 <= color < len(self.colormap): |
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| 102 | self.color = color |
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[710] | 103 | if linestyles: |
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| 104 | self.linestyles = [] |
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| 105 | if isinstance(linestyles,list): |
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| 106 | styles = linestyles |
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| 107 | elif isinstance(linestyles,str): |
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| 108 | styles = linestyles.split() |
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| 109 | for ls in styles: |
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| 110 | if self.lsalias.has_key(ls): |
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| 111 | self.linestyles.append(self.lsalias.get(ls)) |
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| 112 | else: |
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| 113 | self.linestyles.append(self.lsalias.get('line')) |
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| 114 | if 0 <= linestyle < len(self.linestyles): |
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| 115 | self.linestyle = linestyle |
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[705] | 116 | |
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| 117 | def delete(self, numbers=None): |
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[1019] | 118 | """ |
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| 119 | Delete the 0-relative line number, default is to delete the last. |
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| 120 | The remaining lines are NOT renumbered. |
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| 121 | """ |
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[705] | 122 | |
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[1019] | 123 | if numbers is None: numbers = [len(self.lines)-1] |
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[705] | 124 | |
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[1019] | 125 | if not hasattr(numbers, '__iter__'): |
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| 126 | numbers = [numbers] |
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[705] | 127 | |
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[1019] | 128 | for number in numbers: |
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| 129 | if 0 <= number < len(self.lines): |
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| 130 | if self.lines[number] is not None: |
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| 131 | for line in self.lines[number]: |
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| 132 | line.set_linestyle('None') |
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| 133 | self.lines[number] = None |
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| 134 | self.show() |
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[705] | 135 | |
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| 136 | def get_line(self): |
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[1019] | 137 | """ |
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| 138 | Get the current default line attributes. |
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| 139 | """ |
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| 140 | return self.attributes |
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[705] | 141 | |
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| 142 | |
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[1086] | 143 | def hist(self, x=None, y=None, fmt=None, add=None): |
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[1019] | 144 | """ |
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| 145 | Plot a histogram. N.B. the x values refer to the start of the |
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| 146 | histogram bin. |
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[705] | 147 | |
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[1019] | 148 | fmt is the line style as in plot(). |
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| 149 | """ |
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[1086] | 150 | from matplotlib.numerix import array |
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| 151 | from matplotlib.numerix.ma import MaskedArray |
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[1019] | 152 | if x is None: |
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| 153 | if y is None: return |
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[1023] | 154 | x = range(len(y)) |
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[705] | 155 | |
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[1019] | 156 | if len(x) != len(y): |
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| 157 | return |
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| 158 | l2 = 2*len(x) |
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[1023] | 159 | x2 = range(l2) |
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[1086] | 160 | y2 = range(12) |
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[1023] | 161 | y2 = range(l2) |
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| 162 | m2 = range(l2) |
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[1446] | 163 | #ymsk = y.raw_mask() |
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| 164 | #ydat = y.raw_data() |
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| 165 | ymsk = y.mask |
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| 166 | ydat = y.data |
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[1023] | 167 | for i in range(l2): |
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[1019] | 168 | x2[i] = x[i/2] |
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[1086] | 169 | m2[i] = ymsk[i/2] |
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[705] | 170 | |
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[1023] | 171 | y2[0] = 0.0 |
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[1019] | 172 | for i in range(1,l2): |
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[1086] | 173 | y2[i] = ydat[(i-1)/2] |
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[705] | 174 | |
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[1086] | 175 | self.plot(x2, MaskedArray(y2,mask=m2,copy=0), fmt, add) |
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[705] | 176 | |
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| 177 | |
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| 178 | def hold(self, hold=True): |
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[1019] | 179 | """ |
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| 180 | Buffer graphics until subsequently released. |
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| 181 | """ |
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| 182 | self.buffering = hold |
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[705] | 183 | |
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| 184 | |
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| 185 | def legend(self, loc=None): |
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[1019] | 186 | """ |
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| 187 | Add a legend to the plot. |
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[705] | 188 | |
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[1019] | 189 | Any other value for loc else disables the legend: |
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| 190 | 1: upper right |
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| 191 | 2: upper left |
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| 192 | 3: lower left |
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| 193 | 4: lower right |
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| 194 | 5: right |
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| 195 | 6: center left |
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| 196 | 7: center right |
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| 197 | 8: lower center |
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| 198 | 9: upper center |
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| 199 | 10: center |
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[705] | 200 | |
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[1019] | 201 | """ |
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[1095] | 202 | if isinstance(loc, int): |
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[1098] | 203 | self.loc = None |
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| 204 | if 0 <= loc <= 10: self.loc = loc |
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[1095] | 205 | else: |
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| 206 | self.loc = None |
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| 207 | #self.show() |
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[705] | 208 | |
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| 209 | |
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[1086] | 210 | def plot(self, x=None, y=None, fmt=None, add=None): |
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[1019] | 211 | """ |
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| 212 | Plot the next line in the current frame using the current line |
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| 213 | attributes. The ASAPlot graphics window will be mapped and raised. |
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[705] | 214 | |
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[1019] | 215 | The argument list works a bit like the matlab plot() function. |
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| 216 | """ |
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| 217 | if x is None: |
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| 218 | if y is None: return |
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| 219 | x = range(len(y)) |
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[705] | 220 | |
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[1019] | 221 | elif y is None: |
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| 222 | y = x |
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| 223 | x = range(len(y)) |
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[1086] | 224 | if fmt is None: |
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| 225 | line = self.axes.plot(x, y) |
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[1019] | 226 | else: |
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[1086] | 227 | line = self.axes.plot(x, y, fmt) |
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[705] | 228 | |
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[1019] | 229 | # Add to an existing line? |
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[1086] | 230 | i = None |
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[1019] | 231 | if add is None or len(self.lines) < add < 0: |
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| 232 | # Don't add. |
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| 233 | self.lines.append(line) |
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| 234 | i = len(self.lines) - 1 |
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| 235 | else: |
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| 236 | if add == 0: add = len(self.lines) |
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| 237 | i = add - 1 |
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| 238 | self.lines[i].extend(line) |
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[705] | 239 | |
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[1019] | 240 | # Set/reset attributes for the line. |
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| 241 | gotcolour = False |
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| 242 | for k, v in self.attributes.iteritems(): |
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| 243 | if k == 'color': gotcolour = True |
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| 244 | for segment in self.lines[i]: |
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| 245 | getattr(segment, "set_%s"%k)(v) |
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[705] | 246 | |
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[1019] | 247 | if not gotcolour and len(self.colormap): |
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| 248 | for segment in self.lines[i]: |
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| 249 | getattr(segment, "set_color")(self.colormap[self.color]) |
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[710] | 250 | if len(self.colormap) == 1: |
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| 251 | getattr(segment, "set_dashes")(self.linestyles[self.linestyle]) |
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[1086] | 252 | |
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[1019] | 253 | self.color += 1 |
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| 254 | if self.color >= len(self.colormap): |
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| 255 | self.color = 0 |
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[705] | 256 | |
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[710] | 257 | if len(self.colormap) == 1: |
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| 258 | self.linestyle += 1 |
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[1019] | 259 | if self.linestyle >= len(self.linestyles): |
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| 260 | self.linestyle = 0 |
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[710] | 261 | |
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[1019] | 262 | self.show() |
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[705] | 263 | |
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| 264 | |
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| 265 | def position(self): |
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[1019] | 266 | """ |
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| 267 | Use the mouse to get a position from a graph. |
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| 268 | """ |
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[705] | 269 | |
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[1019] | 270 | def position_disable(event): |
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| 271 | self.register('button_press', None) |
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| 272 | print '%.4f, %.4f' % (event.xdata, event.ydata) |
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[705] | 273 | |
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[1019] | 274 | print 'Press any mouse button...' |
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| 275 | self.register('button_press', position_disable) |
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[705] | 276 | |
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| 277 | |
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| 278 | def region(self): |
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[1019] | 279 | """ |
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| 280 | Use the mouse to get a rectangular region from a plot. |
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[705] | 281 | |
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[1019] | 282 | The return value is [x0, y0, x1, y1] in world coordinates. |
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| 283 | """ |
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[705] | 284 | |
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[1019] | 285 | def region_start(event): |
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| 286 | height = self.canvas.figure.bbox.height() |
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| 287 | self.rect = {'fig': None, 'height': height, |
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| 288 | 'x': event.x, 'y': height - event.y, |
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| 289 | 'world': [event.xdata, event.ydata, |
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| 290 | event.xdata, event.ydata]} |
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| 291 | self.register('button_press', None) |
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| 292 | self.register('motion_notify', region_draw) |
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| 293 | self.register('button_release', region_disable) |
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[705] | 294 | |
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[1019] | 295 | def region_draw(event): |
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| 296 | self.canvas._tkcanvas.delete(self.rect['fig']) |
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| 297 | self.rect['fig'] = self.canvas._tkcanvas.create_rectangle( |
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| 298 | self.rect['x'], self.rect['y'], |
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| 299 | event.x, self.rect['height'] - event.y) |
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[705] | 300 | |
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[1019] | 301 | def region_disable(event): |
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| 302 | self.register('motion_notify', None) |
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| 303 | self.register('button_release', None) |
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[705] | 304 | |
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[1019] | 305 | self.canvas._tkcanvas.delete(self.rect['fig']) |
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[705] | 306 | |
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[1019] | 307 | self.rect['world'][2:4] = [event.xdata, event.ydata] |
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| 308 | print '(%.2f, %.2f) (%.2f, %.2f)' % (self.rect['world'][0], |
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| 309 | self.rect['world'][1], self.rect['world'][2], |
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| 310 | self.rect['world'][3]) |
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[705] | 311 | |
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[1019] | 312 | self.register('button_press', region_start) |
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[705] | 313 | |
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[1019] | 314 | # This has to be modified to block and return the result (currently |
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| 315 | # printed by region_disable) when that becomes possible in matplotlib. |
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[705] | 316 | |
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[1019] | 317 | return [0.0, 0.0, 0.0, 0.0] |
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[705] | 318 | |
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| 319 | |
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| 320 | def register(self, type=None, func=None): |
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[1019] | 321 | """ |
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| 322 | Register, reregister, or deregister events of type 'button_press', |
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| 323 | 'button_release', or 'motion_notify'. |
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[705] | 324 | |
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[1019] | 325 | The specified callback function should have the following signature: |
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[705] | 326 | |
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[1019] | 327 | def func(event) |
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[705] | 328 | |
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[1019] | 329 | where event is an MplEvent instance containing the following data: |
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[705] | 330 | |
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[1019] | 331 | name # Event name. |
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| 332 | canvas # FigureCanvas instance generating the event. |
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| 333 | x = None # x position - pixels from left of canvas. |
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| 334 | y = None # y position - pixels from bottom of canvas. |
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| 335 | button = None # Button pressed: None, 1, 2, 3. |
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| 336 | key = None # Key pressed: None, chr(range(255)), shift, |
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| 337 | win, or control |
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| 338 | inaxes = None # Axes instance if cursor within axes. |
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| 339 | xdata = None # x world coordinate. |
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| 340 | ydata = None # y world coordinate. |
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[705] | 341 | |
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[1019] | 342 | For example: |
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[705] | 343 | |
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[1019] | 344 | def mouse_move(event): |
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| 345 | print event.xdata, event.ydata |
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[705] | 346 | |
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[1019] | 347 | a = asaplot() |
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| 348 | a.register('motion_notify', mouse_move) |
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[705] | 349 | |
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[1019] | 350 | If func is None, the event is deregistered. |
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[705] | 351 | |
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[1019] | 352 | Note that in TkAgg keyboard button presses don't generate an event. |
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| 353 | """ |
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[705] | 354 | |
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[1019] | 355 | if not self.events.has_key(type): return |
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[705] | 356 | |
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[1019] | 357 | if func is None: |
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| 358 | if self.events[type] is not None: |
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| 359 | # It's not clear that this does anything. |
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| 360 | self.canvas.mpl_disconnect(self.events[type]) |
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| 361 | self.events[type] = None |
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[705] | 362 | |
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[1019] | 363 | # It seems to be necessary to return events to the toolbar. |
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| 364 | if type == 'motion_notify': |
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| 365 | self.canvas.mpl_connect(type + '_event', |
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| 366 | self.figmgr.toolbar.mouse_move) |
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| 367 | elif type == 'button_press': |
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| 368 | self.canvas.mpl_connect(type + '_event', |
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| 369 | self.figmgr.toolbar.press) |
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| 370 | elif type == 'button_release': |
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| 371 | self.canvas.mpl_connect(type + '_event', |
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| 372 | self.figmgr.toolbar.release) |
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[705] | 373 | |
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[1019] | 374 | else: |
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| 375 | self.events[type] = self.canvas.mpl_connect(type + '_event', func) |
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[705] | 376 | |
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| 377 | |
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| 378 | def release(self): |
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[1019] | 379 | """ |
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| 380 | Release buffered graphics. |
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| 381 | """ |
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| 382 | self.buffering = False |
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| 383 | self.show() |
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[705] | 384 | |
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| 385 | |
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[1095] | 386 | def save(self, fname=None, orientation=None, dpi=None, papertype=None): |
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[1019] | 387 | """ |
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| 388 | Save the plot to a file. |
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[705] | 389 | |
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[1019] | 390 | fname is the name of the output file. The image format is determined |
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| 391 | from the file suffix; 'png', 'ps', and 'eps' are recognized. If no |
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| 392 | file name is specified 'yyyymmdd_hhmmss.png' is created in the current |
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| 393 | directory. |
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| 394 | """ |
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[1095] | 395 | from asap import rcParams |
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| 396 | if papertype is None: |
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| 397 | papertype = rcParams['plotter.papertype'] |
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[1019] | 398 | if fname is None: |
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| 399 | from datetime import datetime |
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| 400 | dstr = datetime.now().strftime('%Y%m%d_%H%M%S') |
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| 401 | fname = 'asap'+dstr+'.png' |
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[705] | 402 | |
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[1019] | 403 | d = ['png','.ps','eps'] |
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[705] | 404 | |
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[1019] | 405 | from os.path import expandvars |
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| 406 | fname = expandvars(fname) |
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[705] | 407 | |
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[1019] | 408 | if fname[-3:].lower() in d: |
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| 409 | try: |
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[705] | 410 | if fname[-3:].lower() == ".ps": |
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[1020] | 411 | from matplotlib import __version__ as mv |
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[705] | 412 | w = self.figure.figwidth.get() |
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[1019] | 413 | h = self.figure.figheight.get() |
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| 414 | |
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[705] | 415 | if orientation is None: |
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[1147] | 416 | # oriented |
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[705] | 417 | if w > h: |
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| 418 | orientation = 'landscape' |
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| 419 | else: |
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| 420 | orientation = 'portrait' |
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[1095] | 421 | from matplotlib.backends.backend_ps import papersize |
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| 422 | pw,ph = papersize[papertype.lower()] |
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[1025] | 423 | ds = None |
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| 424 | if orientation == 'landscape': |
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[1095] | 425 | ds = min(ph/w, pw/h) |
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[1025] | 426 | else: |
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[1095] | 427 | ds = min(pw/w, ph/h) |
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[1025] | 428 | ow = ds * w |
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| 429 | oh = ds * h |
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[1095] | 430 | self.figure.set_figsize_inches((ow, oh)) |
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| 431 | self.figure.savefig(fname, orientation=orientation, |
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| 432 | papertype=papertype.lower()) |
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| 433 | self.figure.set_figsize_inches((w, h)) |
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[705] | 434 | print 'Written file %s' % (fname) |
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[1019] | 435 | else: |
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[705] | 436 | if dpi is None: |
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| 437 | dpi =150 |
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[1025] | 438 | self.figure.savefig(fname,dpi=dpi) |
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[705] | 439 | print 'Written file %s' % (fname) |
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[1019] | 440 | except IOError, msg: |
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| 441 | print 'Failed to save %s: Error msg was\n\n%s' % (fname, err) |
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| 442 | return |
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| 443 | else: |
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| 444 | print "Invalid image type. Valid types are:" |
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| 445 | print "'ps', 'eps', 'png'" |
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[705] | 446 | |
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| 447 | |
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| 448 | def set_axes(self, what=None, *args, **kwargs): |
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[1019] | 449 | """ |
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| 450 | Set attributes for the axes by calling the relevant Axes.set_*() |
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| 451 | method. Colour translation is done as described in the doctext |
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| 452 | for palette(). |
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| 453 | """ |
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[705] | 454 | |
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[1019] | 455 | if what is None: return |
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| 456 | if what[-6:] == 'colour': what = what[:-6] + 'color' |
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[705] | 457 | |
---|
[1153] | 458 | key = "colour" |
---|
| 459 | if kwargs.has_key(key): |
---|
| 460 | val = kwargs.pop(key) |
---|
| 461 | kwargs["color"] = val |
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[705] | 462 | |
---|
[1153] | 463 | getattr(self.axes, "set_%s"%what)(*args, **kwargs) |
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[705] | 464 | |
---|
[1153] | 465 | self.show(hardrefresh=False) |
---|
[705] | 466 | |
---|
[1019] | 467 | |
---|
[705] | 468 | def set_figure(self, what=None, *args, **kwargs): |
---|
[1019] | 469 | """ |
---|
| 470 | Set attributes for the figure by calling the relevant Figure.set_*() |
---|
| 471 | method. Colour translation is done as described in the doctext |
---|
| 472 | for palette(). |
---|
| 473 | """ |
---|
[705] | 474 | |
---|
[1019] | 475 | if what is None: return |
---|
| 476 | if what[-6:] == 'colour': what = what[:-6] + 'color' |
---|
| 477 | #if what[-5:] == 'color' and len(args): |
---|
| 478 | # args = (get_colour(args[0]),) |
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[705] | 479 | |
---|
[1019] | 480 | newargs = {} |
---|
| 481 | for k, v in kwargs.iteritems(): |
---|
| 482 | k = k.lower() |
---|
| 483 | if k == 'colour': k = 'color' |
---|
| 484 | newargs[k] = v |
---|
[705] | 485 | |
---|
[1019] | 486 | getattr(self.figure, "set_%s"%what)(*args, **newargs) |
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[1153] | 487 | self.show(hardrefresh=False) |
---|
[705] | 488 | |
---|
| 489 | |
---|
| 490 | def set_limits(self, xlim=None, ylim=None): |
---|
[1019] | 491 | """ |
---|
| 492 | Set x-, and y-limits for each subplot. |
---|
[705] | 493 | |
---|
[1019] | 494 | xlim = [xmin, xmax] as in axes.set_xlim(). |
---|
| 495 | ylim = [ymin, ymax] as in axes.set_ylim(). |
---|
| 496 | """ |
---|
| 497 | for s in self.subplots: |
---|
| 498 | self.axes = s['axes'] |
---|
| 499 | self.lines = s['lines'] |
---|
[705] | 500 | oldxlim = list(self.axes.get_xlim()) |
---|
| 501 | oldylim = list(self.axes.get_ylim()) |
---|
| 502 | if xlim is not None: |
---|
| 503 | for i in range(len(xlim)): |
---|
| 504 | if xlim[i] is not None: |
---|
| 505 | oldxlim[i] = xlim[i] |
---|
[1019] | 506 | if ylim is not None: |
---|
[705] | 507 | for i in range(len(ylim)): |
---|
| 508 | if ylim[i] is not None: |
---|
| 509 | oldylim[i] = ylim[i] |
---|
| 510 | self.axes.set_xlim(oldxlim) |
---|
| 511 | self.axes.set_ylim(oldylim) |
---|
| 512 | return |
---|
| 513 | |
---|
| 514 | |
---|
| 515 | def set_line(self, number=None, **kwargs): |
---|
[1019] | 516 | """ |
---|
| 517 | Set attributes for the specified line, or else the next line(s) |
---|
| 518 | to be plotted. |
---|
[705] | 519 | |
---|
[1019] | 520 | number is the 0-relative number of a line that has already been |
---|
| 521 | plotted. If no such line exists, attributes are recorded and used |
---|
| 522 | for the next line(s) to be plotted. |
---|
[705] | 523 | |
---|
[1019] | 524 | Keyword arguments specify Line2D attributes, e.g. color='r'. Do |
---|
[705] | 525 | |
---|
[1019] | 526 | import matplotlib |
---|
| 527 | help(matplotlib.lines) |
---|
[705] | 528 | |
---|
[1019] | 529 | The set_* methods of class Line2D define the attribute names and |
---|
| 530 | values. For non-US usage, "colour" is recognized as synonymous with |
---|
| 531 | "color". |
---|
[705] | 532 | |
---|
[1019] | 533 | Set the value to None to delete an attribute. |
---|
[705] | 534 | |
---|
[1019] | 535 | Colour translation is done as described in the doctext for palette(). |
---|
| 536 | """ |
---|
[705] | 537 | |
---|
[1019] | 538 | redraw = False |
---|
| 539 | for k, v in kwargs.iteritems(): |
---|
| 540 | k = k.lower() |
---|
| 541 | if k == 'colour': k = 'color' |
---|
[705] | 542 | |
---|
[1019] | 543 | if 0 <= number < len(self.lines): |
---|
| 544 | if self.lines[number] is not None: |
---|
| 545 | for line in self.lines[number]: |
---|
| 546 | getattr(line, "set_%s"%k)(v) |
---|
| 547 | redraw = True |
---|
| 548 | else: |
---|
| 549 | if v is None: |
---|
| 550 | del self.attributes[k] |
---|
| 551 | else: |
---|
| 552 | self.attributes[k] = v |
---|
[705] | 553 | |
---|
[1153] | 554 | if redraw: self.show(hardrefresh=False) |
---|
[705] | 555 | |
---|
| 556 | |
---|
| 557 | def set_panels(self, rows=1, cols=0, n=-1, nplots=-1, ganged=True): |
---|
[1019] | 558 | """ |
---|
| 559 | Set the panel layout. |
---|
[705] | 560 | |
---|
[1019] | 561 | rows and cols, if cols != 0, specify the number of rows and columns in |
---|
| 562 | a regular layout. (Indexing of these panels in matplotlib is row- |
---|
| 563 | major, i.e. column varies fastest.) |
---|
[705] | 564 | |
---|
[1019] | 565 | cols == 0 is interpreted as a retangular layout that accomodates |
---|
| 566 | 'rows' panels, e.g. rows == 6, cols == 0 is equivalent to |
---|
| 567 | rows == 2, cols == 3. |
---|
[705] | 568 | |
---|
[1019] | 569 | 0 <= n < rows*cols is interpreted as the 0-relative panel number in |
---|
| 570 | the configuration specified by rows and cols to be added to the |
---|
| 571 | current figure as its next 0-relative panel number (i). This allows |
---|
| 572 | non-regular panel layouts to be constructed via multiple calls. Any |
---|
| 573 | other value of n clears the plot and produces a rectangular array of |
---|
| 574 | empty panels. The number of these may be limited by nplots. |
---|
| 575 | """ |
---|
| 576 | if n < 0 and len(self.subplots): |
---|
| 577 | self.figure.clear() |
---|
| 578 | self.set_title() |
---|
[705] | 579 | |
---|
[1019] | 580 | if rows < 1: rows = 1 |
---|
[705] | 581 | |
---|
[1019] | 582 | if cols <= 0: |
---|
| 583 | i = int(sqrt(rows)) |
---|
| 584 | if i*i < rows: i += 1 |
---|
| 585 | cols = i |
---|
[705] | 586 | |
---|
[1019] | 587 | if i*(i-1) >= rows: i -= 1 |
---|
| 588 | rows = i |
---|
[705] | 589 | |
---|
[1019] | 590 | if 0 <= n < rows*cols: |
---|
| 591 | i = len(self.subplots) |
---|
| 592 | self.subplots.append({}) |
---|
[705] | 593 | |
---|
[1019] | 594 | self.subplots[i]['axes'] = self.figure.add_subplot(rows, |
---|
| 595 | cols, n+1) |
---|
| 596 | self.subplots[i]['lines'] = [] |
---|
[705] | 597 | |
---|
[1019] | 598 | if i == 0: self.subplot(0) |
---|
[705] | 599 | |
---|
[1019] | 600 | self.rows = 0 |
---|
| 601 | self.cols = 0 |
---|
[705] | 602 | |
---|
[1019] | 603 | else: |
---|
| 604 | self.subplots = [] |
---|
[705] | 605 | |
---|
[1019] | 606 | if nplots < 1 or rows*cols < nplots: |
---|
| 607 | nplots = rows*cols |
---|
[1025] | 608 | if ganged: |
---|
| 609 | hsp,wsp = None,None |
---|
| 610 | if rows > 1: hsp = 0.0001 |
---|
| 611 | if cols > 1: wsp = 0.0001 |
---|
| 612 | self.figure.subplots_adjust(wspace=wsp,hspace=hsp) |
---|
[1019] | 613 | for i in range(nplots): |
---|
| 614 | self.subplots.append({}) |
---|
[1153] | 615 | self.subplots[i]['lines'] = [] |
---|
| 616 | if not ganged: |
---|
| 617 | self.subplots[i]['axes'] = self.figure.add_subplot(rows, |
---|
[1019] | 618 | cols, i+1) |
---|
[1259] | 619 | self.subplots[i]['axes'].xaxis.set_major_formatter(OldScalarFormatter()) |
---|
[1153] | 620 | else: |
---|
| 621 | if i == 0: |
---|
| 622 | self.subplots[i]['axes'] = self.figure.add_subplot(rows, |
---|
| 623 | cols, i+1) |
---|
[1259] | 624 | self.subplots[i]['axes'].xaxis.set_major_formatter(OldScalarFormatter()) |
---|
[1153] | 625 | else: |
---|
| 626 | self.subplots[i]['axes'] = self.figure.add_subplot(rows, |
---|
| 627 | cols, i+1, |
---|
| 628 | sharex=self.subplots[0]['axes'], |
---|
| 629 | sharey=self.subplots[0]['axes']) |
---|
[1259] | 630 | |
---|
[705] | 631 | # Suppress tick labelling for interior subplots. |
---|
| 632 | if i <= (rows-1)*cols - 1: |
---|
| 633 | if i+cols < nplots: |
---|
| 634 | # Suppress x-labels for frames width |
---|
| 635 | # adjacent frames |
---|
[1153] | 636 | for tick in self.subplots[i]['axes'].xaxis.majorTicks: |
---|
| 637 | tick.label1On = False |
---|
[1019] | 638 | self.subplots[i]['axes'].xaxis.label.set_visible(False) |
---|
[705] | 639 | if i%cols: |
---|
| 640 | # Suppress y-labels for frames not in the left column. |
---|
| 641 | for tick in self.subplots[i]['axes'].yaxis.majorTicks: |
---|
| 642 | tick.label1On = False |
---|
| 643 | self.subplots[i]['axes'].yaxis.label.set_visible(False) |
---|
[1025] | 644 | # disable the first tick of [1:ncol-1] of the last row |
---|
[1153] | 645 | #if i+1 < nplots: |
---|
| 646 | # self.subplots[i]['axes'].xaxis.majorTicks[0].label1On = False |
---|
[1019] | 647 | self.rows = rows |
---|
| 648 | self.cols = cols |
---|
| 649 | self.subplot(0) |
---|
[705] | 650 | |
---|
[1153] | 651 | def tidy(self): |
---|
| 652 | # this needs to be exceuted after the first "refresh" |
---|
| 653 | nplots = len(self.subplots) |
---|
| 654 | if nplots == 1: return |
---|
| 655 | for i in xrange(nplots): |
---|
| 656 | ax = self.subplots[i]['axes'] |
---|
| 657 | if i%self.cols: |
---|
| 658 | ax.xaxis.majorTicks[0].label1On = False |
---|
| 659 | else: |
---|
| 660 | if i != 0: |
---|
| 661 | ax.yaxis.majorTicks[-1].label1On = False |
---|
| 662 | |
---|
| 663 | |
---|
[705] | 664 | def set_title(self, title=None): |
---|
[1019] | 665 | """ |
---|
| 666 | Set the title of the plot window. Use the previous title if title is |
---|
| 667 | omitted. |
---|
| 668 | """ |
---|
| 669 | if title is not None: |
---|
| 670 | self.title = title |
---|
[705] | 671 | |
---|
[1019] | 672 | self.figure.text(0.5, 0.95, self.title, horizontalalignment='center') |
---|
[705] | 673 | |
---|
| 674 | |
---|
[1153] | 675 | def show(self, hardrefresh=True): |
---|
[1019] | 676 | """ |
---|
| 677 | Show graphics dependent on the current buffering state. |
---|
| 678 | """ |
---|
[1153] | 679 | if not hardrefresh: return |
---|
[1019] | 680 | if not self.buffering: |
---|
| 681 | if self.loc is not None: |
---|
[1086] | 682 | for sp in self.subplots: |
---|
[1019] | 683 | lines = [] |
---|
| 684 | labels = [] |
---|
| 685 | i = 0 |
---|
[1086] | 686 | for line in sp['lines']: |
---|
[1019] | 687 | i += 1 |
---|
| 688 | if line is not None: |
---|
| 689 | lines.append(line[0]) |
---|
| 690 | lbl = line[0].get_label() |
---|
| 691 | if lbl == '': |
---|
| 692 | lbl = str(i) |
---|
| 693 | labels.append(lbl) |
---|
[705] | 694 | |
---|
[1019] | 695 | if len(lines): |
---|
[1147] | 696 | fp = FP(size=rcParams['legend.fontsize']) |
---|
| 697 | fsz = fp.get_size_in_points() - len(lines) |
---|
| 698 | fp.set_size(max(fsz,6)) |
---|
[1086] | 699 | sp['axes'].legend(tuple(lines), tuple(labels), |
---|
[1147] | 700 | self.loc, prop=fp) |
---|
[1019] | 701 | else: |
---|
[1086] | 702 | sp['axes'].legend((' ')) |
---|
[705] | 703 | |
---|
[1086] | 704 | from matplotlib.artist import setp |
---|
[1147] | 705 | fp = FP(size=rcParams['xtick.labelsize']) |
---|
| 706 | xts = fp.get_size_in_points()- (self.cols)/2 |
---|
| 707 | fp = FP(size=rcParams['ytick.labelsize']) |
---|
| 708 | yts = fp.get_size_in_points() - (self.rows)/2 |
---|
[1086] | 709 | for sp in self.subplots: |
---|
| 710 | ax = sp['axes'] |
---|
[1446] | 711 | s = rcParams['axes.titlesize'] |
---|
| 712 | tsize = s-(self.cols+self.rows-1) |
---|
| 713 | ax.title.set_size(max(tsize,9)) |
---|
[1147] | 714 | fp = FP(size=rcParams['axes.labelsize']) |
---|
[1086] | 715 | setp(ax.get_xticklabels(), fontsize=xts) |
---|
| 716 | setp(ax.get_yticklabels(), fontsize=yts) |
---|
[1147] | 717 | origx = fp.get_size_in_points() |
---|
| 718 | origy = origx |
---|
[1086] | 719 | off = 0 |
---|
| 720 | if self.cols > 1: off = self.cols |
---|
| 721 | xfsize = origx-off |
---|
| 722 | ax.xaxis.label.set_size(xfsize) |
---|
| 723 | off = 0 |
---|
| 724 | if self.rows > 1: off = self.rows |
---|
| 725 | yfsize = origy-off |
---|
| 726 | ax.yaxis.label.set_size(yfsize) |
---|
[705] | 727 | |
---|
| 728 | def subplot(self, i=None, inc=None): |
---|
[1019] | 729 | """ |
---|
| 730 | Set the subplot to the 0-relative panel number as defined by one or |
---|
| 731 | more invokations of set_panels(). |
---|
| 732 | """ |
---|
| 733 | l = len(self.subplots) |
---|
| 734 | if l: |
---|
| 735 | if i is not None: |
---|
| 736 | self.i = i |
---|
[705] | 737 | |
---|
[1019] | 738 | if inc is not None: |
---|
| 739 | self.i += inc |
---|
[705] | 740 | |
---|
[1019] | 741 | self.i %= l |
---|
| 742 | self.axes = self.subplots[self.i]['axes'] |
---|
| 743 | self.lines = self.subplots[self.i]['lines'] |
---|
[705] | 744 | |
---|
| 745 | def text(self, *args, **kwargs): |
---|
[1019] | 746 | """ |
---|
| 747 | Add text to the figure. |
---|
| 748 | """ |
---|
| 749 | self.figure.text(*args, **kwargs) |
---|
| 750 | self.show() |
---|
[1147] | 751 | |
---|
| 752 | def vline_with_label(self, x, y, label, |
---|
| 753 | location='bottom', rotate=0.0, **kwargs): |
---|
| 754 | """ |
---|
| 755 | Plot a vertical line with label. |
---|
| 756 | It takes "world" values fo x and y. |
---|
| 757 | """ |
---|
| 758 | ax = self.axes |
---|
| 759 | # need this to suppress autoscaling during this function |
---|
| 760 | self.axes.set_autoscale_on(False) |
---|
| 761 | ymin = 0.0 |
---|
| 762 | ymax = 1.0 |
---|
| 763 | valign = 'center' |
---|
| 764 | if location.lower() == 'top': |
---|
| 765 | y = max(0.0, y) |
---|
| 766 | elif location.lower() == 'bottom': |
---|
| 767 | y = min(0.0, y) |
---|
| 768 | lbloffset = 0.06 |
---|
| 769 | # a rough estimate for the bb of the text |
---|
| 770 | if rotate > 0.0: lbloffset = 0.03*len(label) |
---|
| 771 | peakoffset = 0.01 |
---|
| 772 | xy0 = ax.transData.xy_tup((x,y)) |
---|
| 773 | # get relative coords |
---|
| 774 | xy = ax.transAxes.inverse_xy_tup(xy0) |
---|
| 775 | if location.lower() == 'top': |
---|
| 776 | ymax = 1.0-lbloffset |
---|
| 777 | ymin = xy[1]+peakoffset |
---|
| 778 | valign = 'bottom' |
---|
| 779 | ylbl = ymax+0.01 |
---|
| 780 | elif location.lower() == 'bottom': |
---|
| 781 | ymin = lbloffset |
---|
| 782 | ymax = xy[1]-peakoffset |
---|
| 783 | valign = 'top' |
---|
| 784 | ylbl = ymin-0.01 |
---|
| 785 | trans = blend_xy_sep_transform(ax.transData, ax.transAxes) |
---|
| 786 | l = ax.axvline(x, ymin, ymax, color='black', **kwargs) |
---|
| 787 | t = ax.text(x, ylbl ,label, verticalalignment=valign, |
---|
| 788 | horizontalalignment='center', |
---|
| 789 | rotation=rotate,transform = trans) |
---|
| 790 | self.axes.set_autoscale_on(True) |
---|