[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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[1147] | 16 | |
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[1425] | 17 | # API change in mpl >= 0.98 |
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| 18 | try: |
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| 19 | from matplotlib.transforms import blended_transform_factory |
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| 20 | except ImportError: |
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[1560] | 21 | from matplotlib.transforms import blend_xy_sep_transform as blended_transform_factory |
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[1425] | 22 | |
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[1095] | 23 | if int(matplotlib.__version__.split(".")[1]) < 87: |
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| 24 | print "Warning: matplotlib version < 0.87. This might cause errors. Please upgrade." |
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[1019] | 25 | |
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[705] | 26 | class asaplotbase: |
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| 27 | """ |
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| 28 | ASAP plotting base class based on matplotlib. |
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| 29 | """ |
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| 30 | |
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[1563] | 31 | def __init__(self, rows=1, cols=0, title='', size=None, buffering=False): |
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[1019] | 32 | """ |
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| 33 | Create a new instance of the ASAPlot plotting class. |
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[705] | 34 | |
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[1019] | 35 | If rows < 1 then a separate call to set_panels() is required to define |
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| 36 | the panel layout; refer to the doctext for set_panels(). |
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| 37 | """ |
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[705] | 38 | self.is_dead = False |
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[1019] | 39 | self.figure = Figure(figsize=size, facecolor='#ddddee') |
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[705] | 40 | self.canvas = None |
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| 41 | |
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[1019] | 42 | self.set_title(title) |
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| 43 | self.subplots = [] |
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| 44 | if rows > 0: |
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| 45 | self.set_panels(rows, cols) |
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[705] | 46 | |
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[710] | 47 | # Set matplotlib default colour sequence. |
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| 48 | self.colormap = "green red black cyan magenta orange blue purple yellow pink".split() |
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[1019] | 49 | |
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[710] | 50 | c = asaprcParams['plotter.colours'] |
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| 51 | if isinstance(c,str) and len(c) > 0: |
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| 52 | self.colormap = c.split() |
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| 53 | |
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| 54 | self.lsalias = {"line": [1,0], |
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| 55 | "dashdot": [4,2,1,2], |
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| 56 | "dashed" : [4,2,4,2], |
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| 57 | "dotted" : [1,2], |
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| 58 | "dashdotdot": [4,2,1,2,1,2], |
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| 59 | "dashdashdot": [4,2,4,2,1,2] |
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| 60 | } |
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| 61 | |
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| 62 | styles = "line dashed dotted dashdot".split() |
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| 63 | c = asaprcParams['plotter.linestyles'] |
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| 64 | if isinstance(c,str) and len(c) > 0: |
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| 65 | styles = c.split() |
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| 66 | s = [] |
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| 67 | for ls in styles: |
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| 68 | if self.lsalias.has_key(ls): |
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| 69 | s.append(self.lsalias.get(ls)) |
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| 70 | else: |
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| 71 | s.append('-') |
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| 72 | self.linestyles = s |
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| 73 | |
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[705] | 74 | self.color = 0; |
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[710] | 75 | self.linestyle = 0; |
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[1019] | 76 | self.attributes = {} |
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| 77 | self.loc = 0 |
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[705] | 78 | |
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[1019] | 79 | self.buffering = buffering |
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[705] | 80 | |
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| 81 | def clear(self): |
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[1019] | 82 | """ |
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[1147] | 83 | Delete all lines from the plot. Line numbering will restart from 0. |
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[1019] | 84 | """ |
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[705] | 85 | |
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[1019] | 86 | for i in range(len(self.lines)): |
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| 87 | self.delete(i) |
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| 88 | self.axes.clear() |
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| 89 | self.color = 0 |
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| 90 | self.lines = [] |
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[705] | 91 | |
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[710] | 92 | def palette(self, color, colormap=None, linestyle=0, linestyles=None): |
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[705] | 93 | if colormap: |
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[710] | 94 | if isinstance(colormap,list): |
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| 95 | self.colormap = colormap |
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| 96 | elif isinstance(colormap,str): |
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| 97 | self.colormap = colormap.split() |
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[705] | 98 | if 0 <= color < len(self.colormap): |
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| 99 | self.color = color |
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[710] | 100 | if linestyles: |
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| 101 | self.linestyles = [] |
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| 102 | if isinstance(linestyles,list): |
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| 103 | styles = linestyles |
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| 104 | elif isinstance(linestyles,str): |
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| 105 | styles = linestyles.split() |
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| 106 | for ls in styles: |
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| 107 | if self.lsalias.has_key(ls): |
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| 108 | self.linestyles.append(self.lsalias.get(ls)) |
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| 109 | else: |
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| 110 | self.linestyles.append(self.lsalias.get('line')) |
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| 111 | if 0 <= linestyle < len(self.linestyles): |
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| 112 | self.linestyle = linestyle |
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[705] | 113 | |
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| 114 | def delete(self, numbers=None): |
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[1019] | 115 | """ |
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| 116 | Delete the 0-relative line number, default is to delete the last. |
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| 117 | The remaining lines are NOT renumbered. |
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| 118 | """ |
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[705] | 119 | |
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[1019] | 120 | if numbers is None: numbers = [len(self.lines)-1] |
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[705] | 121 | |
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[1019] | 122 | if not hasattr(numbers, '__iter__'): |
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| 123 | numbers = [numbers] |
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[705] | 124 | |
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[1019] | 125 | for number in numbers: |
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| 126 | if 0 <= number < len(self.lines): |
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| 127 | if self.lines[number] is not None: |
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| 128 | for line in self.lines[number]: |
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| 129 | line.set_linestyle('None') |
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| 130 | self.lines[number] = None |
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| 131 | self.show() |
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[705] | 132 | |
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| 133 | def get_line(self): |
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[1019] | 134 | """ |
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| 135 | Get the current default line attributes. |
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| 136 | """ |
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| 137 | return self.attributes |
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[705] | 138 | |
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| 139 | |
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[1086] | 140 | def hist(self, x=None, y=None, fmt=None, add=None): |
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[1019] | 141 | """ |
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| 142 | Plot a histogram. N.B. the x values refer to the start of the |
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| 143 | histogram bin. |
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[705] | 144 | |
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[1019] | 145 | fmt is the line style as in plot(). |
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| 146 | """ |
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[1086] | 147 | from matplotlib.numerix import array |
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| 148 | from matplotlib.numerix.ma import MaskedArray |
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[1568] | 149 | |
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[1019] | 150 | if x is None: |
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| 151 | if y is None: return |
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[1023] | 152 | x = range(len(y)) |
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[705] | 153 | |
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[1019] | 154 | if len(x) != len(y): |
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| 155 | return |
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| 156 | l2 = 2*len(x) |
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[1023] | 157 | x2 = range(l2) |
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[1086] | 158 | y2 = range(12) |
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[1023] | 159 | y2 = range(l2) |
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| 160 | m2 = range(l2) |
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[1553] | 161 | ymsk = None |
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| 162 | ydat = None |
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| 163 | if hasattr(y, "raw_mask"): |
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| 164 | # numpy < 1.1 |
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| 165 | ymsk = y.raw_mask() |
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| 166 | ydat = y.raw_data() |
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| 167 | else: |
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| 168 | ymsk = y.mask |
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| 169 | ydat = y.data |
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| 170 | |
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[1023] | 171 | for i in range(l2): |
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[1019] | 172 | x2[i] = x[i/2] |
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[1086] | 173 | m2[i] = ymsk[i/2] |
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[705] | 174 | |
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[1023] | 175 | y2[0] = 0.0 |
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[1019] | 176 | for i in range(1,l2): |
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[1086] | 177 | y2[i] = ydat[(i-1)/2] |
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[705] | 178 | |
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[1086] | 179 | self.plot(x2, MaskedArray(y2,mask=m2,copy=0), fmt, add) |
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[705] | 180 | |
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| 181 | |
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| 182 | def hold(self, hold=True): |
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[1019] | 183 | """ |
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| 184 | Buffer graphics until subsequently released. |
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| 185 | """ |
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| 186 | self.buffering = hold |
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[705] | 187 | |
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| 188 | |
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| 189 | def legend(self, loc=None): |
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[1019] | 190 | """ |
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| 191 | Add a legend to the plot. |
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[705] | 192 | |
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[1019] | 193 | Any other value for loc else disables the legend: |
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| 194 | 1: upper right |
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| 195 | 2: upper left |
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| 196 | 3: lower left |
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| 197 | 4: lower right |
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| 198 | 5: right |
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| 199 | 6: center left |
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| 200 | 7: center right |
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| 201 | 8: lower center |
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| 202 | 9: upper center |
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| 203 | 10: center |
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[705] | 204 | |
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[1019] | 205 | """ |
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[1095] | 206 | if isinstance(loc, int): |
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[1098] | 207 | self.loc = None |
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| 208 | if 0 <= loc <= 10: self.loc = loc |
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[1095] | 209 | else: |
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| 210 | self.loc = None |
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| 211 | #self.show() |
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[705] | 212 | |
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| 213 | |
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[1086] | 214 | def plot(self, x=None, y=None, fmt=None, add=None): |
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[1019] | 215 | """ |
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| 216 | Plot the next line in the current frame using the current line |
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| 217 | attributes. The ASAPlot graphics window will be mapped and raised. |
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[705] | 218 | |
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[1019] | 219 | The argument list works a bit like the matlab plot() function. |
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| 220 | """ |
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| 221 | if x is None: |
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| 222 | if y is None: return |
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| 223 | x = range(len(y)) |
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[705] | 224 | |
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[1019] | 225 | elif y is None: |
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| 226 | y = x |
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| 227 | x = range(len(y)) |
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[1086] | 228 | if fmt is None: |
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| 229 | line = self.axes.plot(x, y) |
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[1019] | 230 | else: |
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[1086] | 231 | line = self.axes.plot(x, y, fmt) |
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[705] | 232 | |
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[1019] | 233 | # Add to an existing line? |
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[1086] | 234 | i = None |
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[1019] | 235 | if add is None or len(self.lines) < add < 0: |
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| 236 | # Don't add. |
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| 237 | self.lines.append(line) |
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| 238 | i = len(self.lines) - 1 |
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| 239 | else: |
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| 240 | if add == 0: add = len(self.lines) |
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| 241 | i = add - 1 |
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| 242 | self.lines[i].extend(line) |
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[705] | 243 | |
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[1019] | 244 | # Set/reset attributes for the line. |
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| 245 | gotcolour = False |
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| 246 | for k, v in self.attributes.iteritems(): |
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| 247 | if k == 'color': gotcolour = True |
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| 248 | for segment in self.lines[i]: |
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| 249 | getattr(segment, "set_%s"%k)(v) |
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[705] | 250 | |
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[1019] | 251 | if not gotcolour and len(self.colormap): |
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| 252 | for segment in self.lines[i]: |
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| 253 | getattr(segment, "set_color")(self.colormap[self.color]) |
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[710] | 254 | if len(self.colormap) == 1: |
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| 255 | getattr(segment, "set_dashes")(self.linestyles[self.linestyle]) |
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[1086] | 256 | |
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[1019] | 257 | self.color += 1 |
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| 258 | if self.color >= len(self.colormap): |
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| 259 | self.color = 0 |
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[705] | 260 | |
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[710] | 261 | if len(self.colormap) == 1: |
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| 262 | self.linestyle += 1 |
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[1019] | 263 | if self.linestyle >= len(self.linestyles): |
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| 264 | self.linestyle = 0 |
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[710] | 265 | |
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[1019] | 266 | self.show() |
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[705] | 267 | |
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| 268 | |
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| 269 | def position(self): |
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[1019] | 270 | """ |
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| 271 | Use the mouse to get a position from a graph. |
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| 272 | """ |
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[705] | 273 | |
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[1019] | 274 | def position_disable(event): |
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| 275 | self.register('button_press', None) |
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| 276 | print '%.4f, %.4f' % (event.xdata, event.ydata) |
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[705] | 277 | |
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[1019] | 278 | print 'Press any mouse button...' |
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| 279 | self.register('button_press', position_disable) |
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[705] | 280 | |
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| 281 | |
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[1546] | 282 | def get_region(self): |
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| 283 | pos = [] |
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[1568] | 284 | print "Please select the bottom/left point" |
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[1546] | 285 | pos.append(self.figure.ginput(n=1, show_clicks=False)[0]) |
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[1568] | 286 | print "Please select the top/right point" |
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[1546] | 287 | pos.append(self.figure.ginput(n=1, show_clicks=False)[0]) |
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| 288 | return pos |
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| 289 | |
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| 290 | def get_point(self): |
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[1568] | 291 | print "Please select the point" |
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[1553] | 292 | pt = self.figure.ginput(n=1, show_clicks=False) |
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| 293 | if pt: |
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| 294 | return pt[0] |
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| 295 | else: |
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| 296 | return None |
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[1546] | 297 | |
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[705] | 298 | def region(self): |
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[1019] | 299 | """ |
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| 300 | Use the mouse to get a rectangular region from a plot. |
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[705] | 301 | |
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[1019] | 302 | The return value is [x0, y0, x1, y1] in world coordinates. |
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| 303 | """ |
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[705] | 304 | |
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[1019] | 305 | def region_start(event): |
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| 306 | height = self.canvas.figure.bbox.height() |
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| 307 | self.rect = {'fig': None, 'height': height, |
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| 308 | 'x': event.x, 'y': height - event.y, |
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| 309 | 'world': [event.xdata, event.ydata, |
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| 310 | event.xdata, event.ydata]} |
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| 311 | self.register('button_press', None) |
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| 312 | self.register('motion_notify', region_draw) |
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| 313 | self.register('button_release', region_disable) |
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[705] | 314 | |
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[1019] | 315 | def region_draw(event): |
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| 316 | self.canvas._tkcanvas.delete(self.rect['fig']) |
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| 317 | self.rect['fig'] = self.canvas._tkcanvas.create_rectangle( |
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| 318 | self.rect['x'], self.rect['y'], |
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| 319 | event.x, self.rect['height'] - event.y) |
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[705] | 320 | |
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[1019] | 321 | def region_disable(event): |
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| 322 | self.register('motion_notify', None) |
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| 323 | self.register('button_release', None) |
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[705] | 324 | |
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[1019] | 325 | self.canvas._tkcanvas.delete(self.rect['fig']) |
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[705] | 326 | |
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[1019] | 327 | self.rect['world'][2:4] = [event.xdata, event.ydata] |
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| 328 | print '(%.2f, %.2f) (%.2f, %.2f)' % (self.rect['world'][0], |
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| 329 | self.rect['world'][1], self.rect['world'][2], |
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| 330 | self.rect['world'][3]) |
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[705] | 331 | |
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[1019] | 332 | self.register('button_press', region_start) |
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[705] | 333 | |
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[1019] | 334 | # This has to be modified to block and return the result (currently |
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| 335 | # printed by region_disable) when that becomes possible in matplotlib. |
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[705] | 336 | |
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[1019] | 337 | return [0.0, 0.0, 0.0, 0.0] |
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[705] | 338 | |
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| 339 | |
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| 340 | def register(self, type=None, func=None): |
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[1019] | 341 | """ |
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| 342 | Register, reregister, or deregister events of type 'button_press', |
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| 343 | 'button_release', or 'motion_notify'. |
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[705] | 344 | |
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[1019] | 345 | The specified callback function should have the following signature: |
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[705] | 346 | |
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[1019] | 347 | def func(event) |
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[705] | 348 | |
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[1019] | 349 | where event is an MplEvent instance containing the following data: |
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[705] | 350 | |
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[1019] | 351 | name # Event name. |
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| 352 | canvas # FigureCanvas instance generating the event. |
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| 353 | x = None # x position - pixels from left of canvas. |
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| 354 | y = None # y position - pixels from bottom of canvas. |
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| 355 | button = None # Button pressed: None, 1, 2, 3. |
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| 356 | key = None # Key pressed: None, chr(range(255)), shift, |
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| 357 | win, or control |
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| 358 | inaxes = None # Axes instance if cursor within axes. |
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| 359 | xdata = None # x world coordinate. |
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| 360 | ydata = None # y world coordinate. |
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[705] | 361 | |
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[1019] | 362 | For example: |
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[705] | 363 | |
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[1019] | 364 | def mouse_move(event): |
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| 365 | print event.xdata, event.ydata |
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[705] | 366 | |
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[1019] | 367 | a = asaplot() |
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| 368 | a.register('motion_notify', mouse_move) |
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[705] | 369 | |
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[1019] | 370 | If func is None, the event is deregistered. |
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[705] | 371 | |
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[1019] | 372 | Note that in TkAgg keyboard button presses don't generate an event. |
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| 373 | """ |
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[705] | 374 | |
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[1019] | 375 | if not self.events.has_key(type): return |
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[705] | 376 | |
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[1019] | 377 | if func is None: |
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| 378 | if self.events[type] is not None: |
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| 379 | # It's not clear that this does anything. |
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| 380 | self.canvas.mpl_disconnect(self.events[type]) |
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| 381 | self.events[type] = None |
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[705] | 382 | |
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[1019] | 383 | # It seems to be necessary to return events to the toolbar. |
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| 384 | if type == 'motion_notify': |
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| 385 | self.canvas.mpl_connect(type + '_event', |
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| 386 | self.figmgr.toolbar.mouse_move) |
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| 387 | elif type == 'button_press': |
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| 388 | self.canvas.mpl_connect(type + '_event', |
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| 389 | self.figmgr.toolbar.press) |
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| 390 | elif type == 'button_release': |
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| 391 | self.canvas.mpl_connect(type + '_event', |
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| 392 | self.figmgr.toolbar.release) |
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[705] | 393 | |
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[1019] | 394 | else: |
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| 395 | self.events[type] = self.canvas.mpl_connect(type + '_event', func) |
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[705] | 396 | |
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| 397 | |
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| 398 | def release(self): |
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[1019] | 399 | """ |
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| 400 | Release buffered graphics. |
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| 401 | """ |
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| 402 | self.buffering = False |
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| 403 | self.show() |
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[705] | 404 | |
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| 405 | |
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[1095] | 406 | def save(self, fname=None, orientation=None, dpi=None, papertype=None): |
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[1019] | 407 | """ |
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| 408 | Save the plot to a file. |
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[705] | 409 | |
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[1019] | 410 | fname is the name of the output file. The image format is determined |
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| 411 | from the file suffix; 'png', 'ps', and 'eps' are recognized. If no |
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| 412 | file name is specified 'yyyymmdd_hhmmss.png' is created in the current |
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| 413 | directory. |
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| 414 | """ |
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[1095] | 415 | from asap import rcParams |
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| 416 | if papertype is None: |
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| 417 | papertype = rcParams['plotter.papertype'] |
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[1019] | 418 | if fname is None: |
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| 419 | from datetime import datetime |
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| 420 | dstr = datetime.now().strftime('%Y%m%d_%H%M%S') |
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| 421 | fname = 'asap'+dstr+'.png' |
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[705] | 422 | |
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[1019] | 423 | d = ['png','.ps','eps'] |
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[705] | 424 | |
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[1019] | 425 | from os.path import expandvars |
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| 426 | fname = expandvars(fname) |
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[705] | 427 | |
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[1019] | 428 | if fname[-3:].lower() in d: |
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| 429 | try: |
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[705] | 430 | if fname[-3:].lower() == ".ps": |
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[1020] | 431 | from matplotlib import __version__ as mv |
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[1479] | 432 | w = self.figure.get_figwidth() |
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| 433 | h = self.figure.get_figheight() |
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[1019] | 434 | |
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[705] | 435 | if orientation is None: |
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[1147] | 436 | # oriented |
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[705] | 437 | if w > h: |
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| 438 | orientation = 'landscape' |
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| 439 | else: |
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| 440 | orientation = 'portrait' |
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[1095] | 441 | from matplotlib.backends.backend_ps import papersize |
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| 442 | pw,ph = papersize[papertype.lower()] |
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[1025] | 443 | ds = None |
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| 444 | if orientation == 'landscape': |
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[1095] | 445 | ds = min(ph/w, pw/h) |
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[1025] | 446 | else: |
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[1095] | 447 | ds = min(pw/w, ph/h) |
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[1025] | 448 | ow = ds * w |
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| 449 | oh = ds * h |
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[1479] | 450 | self.figure.set_size_inches((ow, oh)) |
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[1095] | 451 | self.figure.savefig(fname, orientation=orientation, |
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| 452 | papertype=papertype.lower()) |
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[1479] | 453 | self.figure.set_size_inches((w, h)) |
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[705] | 454 | print 'Written file %s' % (fname) |
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[1019] | 455 | else: |
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[705] | 456 | if dpi is None: |
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| 457 | dpi =150 |
---|
[1025] | 458 | self.figure.savefig(fname,dpi=dpi) |
---|
[705] | 459 | print 'Written file %s' % (fname) |
---|
[1019] | 460 | except IOError, msg: |
---|
[1568] | 461 | print 'Failed to save %s: Error msg was\n\n%s' % (fname, msg) |
---|
[1019] | 462 | return |
---|
| 463 | else: |
---|
| 464 | print "Invalid image type. Valid types are:" |
---|
| 465 | print "'ps', 'eps', 'png'" |
---|
[705] | 466 | |
---|
| 467 | |
---|
| 468 | def set_axes(self, what=None, *args, **kwargs): |
---|
[1019] | 469 | """ |
---|
| 470 | Set attributes for the axes by calling the relevant Axes.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' |
---|
[705] | 477 | |
---|
[1153] | 478 | key = "colour" |
---|
| 479 | if kwargs.has_key(key): |
---|
| 480 | val = kwargs.pop(key) |
---|
| 481 | kwargs["color"] = val |
---|
[705] | 482 | |
---|
[1153] | 483 | getattr(self.axes, "set_%s"%what)(*args, **kwargs) |
---|
[705] | 484 | |
---|
[1153] | 485 | self.show(hardrefresh=False) |
---|
[705] | 486 | |
---|
[1019] | 487 | |
---|
[705] | 488 | def set_figure(self, what=None, *args, **kwargs): |
---|
[1019] | 489 | """ |
---|
| 490 | Set attributes for the figure by calling the relevant Figure.set_*() |
---|
| 491 | method. Colour translation is done as described in the doctext |
---|
| 492 | for palette(). |
---|
| 493 | """ |
---|
[705] | 494 | |
---|
[1019] | 495 | if what is None: return |
---|
| 496 | if what[-6:] == 'colour': what = what[:-6] + 'color' |
---|
| 497 | #if what[-5:] == 'color' and len(args): |
---|
| 498 | # args = (get_colour(args[0]),) |
---|
[705] | 499 | |
---|
[1019] | 500 | newargs = {} |
---|
| 501 | for k, v in kwargs.iteritems(): |
---|
| 502 | k = k.lower() |
---|
| 503 | if k == 'colour': k = 'color' |
---|
| 504 | newargs[k] = v |
---|
[705] | 505 | |
---|
[1019] | 506 | getattr(self.figure, "set_%s"%what)(*args, **newargs) |
---|
[1153] | 507 | self.show(hardrefresh=False) |
---|
[705] | 508 | |
---|
| 509 | |
---|
| 510 | def set_limits(self, xlim=None, ylim=None): |
---|
[1019] | 511 | """ |
---|
| 512 | Set x-, and y-limits for each subplot. |
---|
[705] | 513 | |
---|
[1019] | 514 | xlim = [xmin, xmax] as in axes.set_xlim(). |
---|
| 515 | ylim = [ymin, ymax] as in axes.set_ylim(). |
---|
| 516 | """ |
---|
| 517 | for s in self.subplots: |
---|
| 518 | self.axes = s['axes'] |
---|
| 519 | self.lines = s['lines'] |
---|
[705] | 520 | oldxlim = list(self.axes.get_xlim()) |
---|
| 521 | oldylim = list(self.axes.get_ylim()) |
---|
| 522 | if xlim is not None: |
---|
| 523 | for i in range(len(xlim)): |
---|
| 524 | if xlim[i] is not None: |
---|
| 525 | oldxlim[i] = xlim[i] |
---|
[1019] | 526 | if ylim is not None: |
---|
[705] | 527 | for i in range(len(ylim)): |
---|
| 528 | if ylim[i] is not None: |
---|
| 529 | oldylim[i] = ylim[i] |
---|
| 530 | self.axes.set_xlim(oldxlim) |
---|
| 531 | self.axes.set_ylim(oldylim) |
---|
| 532 | return |
---|
| 533 | |
---|
| 534 | |
---|
| 535 | def set_line(self, number=None, **kwargs): |
---|
[1019] | 536 | """ |
---|
| 537 | Set attributes for the specified line, or else the next line(s) |
---|
| 538 | to be plotted. |
---|
[705] | 539 | |
---|
[1019] | 540 | number is the 0-relative number of a line that has already been |
---|
| 541 | plotted. If no such line exists, attributes are recorded and used |
---|
| 542 | for the next line(s) to be plotted. |
---|
[705] | 543 | |
---|
[1019] | 544 | Keyword arguments specify Line2D attributes, e.g. color='r'. Do |
---|
[705] | 545 | |
---|
[1019] | 546 | import matplotlib |
---|
| 547 | help(matplotlib.lines) |
---|
[705] | 548 | |
---|
[1019] | 549 | The set_* methods of class Line2D define the attribute names and |
---|
| 550 | values. For non-US usage, "colour" is recognized as synonymous with |
---|
| 551 | "color". |
---|
[705] | 552 | |
---|
[1019] | 553 | Set the value to None to delete an attribute. |
---|
[705] | 554 | |
---|
[1019] | 555 | Colour translation is done as described in the doctext for palette(). |
---|
| 556 | """ |
---|
[705] | 557 | |
---|
[1019] | 558 | redraw = False |
---|
| 559 | for k, v in kwargs.iteritems(): |
---|
| 560 | k = k.lower() |
---|
| 561 | if k == 'colour': k = 'color' |
---|
[705] | 562 | |
---|
[1019] | 563 | if 0 <= number < len(self.lines): |
---|
| 564 | if self.lines[number] is not None: |
---|
| 565 | for line in self.lines[number]: |
---|
| 566 | getattr(line, "set_%s"%k)(v) |
---|
| 567 | redraw = True |
---|
| 568 | else: |
---|
| 569 | if v is None: |
---|
| 570 | del self.attributes[k] |
---|
| 571 | else: |
---|
| 572 | self.attributes[k] = v |
---|
[705] | 573 | |
---|
[1153] | 574 | if redraw: self.show(hardrefresh=False) |
---|
[705] | 575 | |
---|
| 576 | |
---|
| 577 | def set_panels(self, rows=1, cols=0, n=-1, nplots=-1, ganged=True): |
---|
[1019] | 578 | """ |
---|
| 579 | Set the panel layout. |
---|
[705] | 580 | |
---|
[1019] | 581 | rows and cols, if cols != 0, specify the number of rows and columns in |
---|
| 582 | a regular layout. (Indexing of these panels in matplotlib is row- |
---|
| 583 | major, i.e. column varies fastest.) |
---|
[705] | 584 | |
---|
[1019] | 585 | cols == 0 is interpreted as a retangular layout that accomodates |
---|
| 586 | 'rows' panels, e.g. rows == 6, cols == 0 is equivalent to |
---|
| 587 | rows == 2, cols == 3. |
---|
[705] | 588 | |
---|
[1019] | 589 | 0 <= n < rows*cols is interpreted as the 0-relative panel number in |
---|
| 590 | the configuration specified by rows and cols to be added to the |
---|
| 591 | current figure as its next 0-relative panel number (i). This allows |
---|
| 592 | non-regular panel layouts to be constructed via multiple calls. Any |
---|
| 593 | other value of n clears the plot and produces a rectangular array of |
---|
| 594 | empty panels. The number of these may be limited by nplots. |
---|
| 595 | """ |
---|
| 596 | if n < 0 and len(self.subplots): |
---|
| 597 | self.figure.clear() |
---|
| 598 | self.set_title() |
---|
[705] | 599 | |
---|
[1019] | 600 | if rows < 1: rows = 1 |
---|
[705] | 601 | |
---|
[1019] | 602 | if cols <= 0: |
---|
| 603 | i = int(sqrt(rows)) |
---|
| 604 | if i*i < rows: i += 1 |
---|
| 605 | cols = i |
---|
[705] | 606 | |
---|
[1019] | 607 | if i*(i-1) >= rows: i -= 1 |
---|
| 608 | rows = i |
---|
[705] | 609 | |
---|
[1019] | 610 | if 0 <= n < rows*cols: |
---|
| 611 | i = len(self.subplots) |
---|
| 612 | self.subplots.append({}) |
---|
[705] | 613 | |
---|
[1019] | 614 | self.subplots[i]['axes'] = self.figure.add_subplot(rows, |
---|
| 615 | cols, n+1) |
---|
| 616 | self.subplots[i]['lines'] = [] |
---|
[705] | 617 | |
---|
[1019] | 618 | if i == 0: self.subplot(0) |
---|
[705] | 619 | |
---|
[1019] | 620 | self.rows = 0 |
---|
| 621 | self.cols = 0 |
---|
[705] | 622 | |
---|
[1019] | 623 | else: |
---|
| 624 | self.subplots = [] |
---|
[705] | 625 | |
---|
[1019] | 626 | if nplots < 1 or rows*cols < nplots: |
---|
| 627 | nplots = rows*cols |
---|
[1025] | 628 | if ganged: |
---|
| 629 | hsp,wsp = None,None |
---|
| 630 | if rows > 1: hsp = 0.0001 |
---|
| 631 | if cols > 1: wsp = 0.0001 |
---|
| 632 | self.figure.subplots_adjust(wspace=wsp,hspace=hsp) |
---|
[1019] | 633 | for i in range(nplots): |
---|
| 634 | self.subplots.append({}) |
---|
[1153] | 635 | self.subplots[i]['lines'] = [] |
---|
| 636 | if not ganged: |
---|
| 637 | self.subplots[i]['axes'] = self.figure.add_subplot(rows, |
---|
[1019] | 638 | cols, i+1) |
---|
[1560] | 639 | if asaprcParams['plotter.axesformatting'] != 'mpl': |
---|
[1513] | 640 | self.subplots[i]['axes'].xaxis.set_major_formatter(OldScalarFormatter()) |
---|
[1153] | 641 | else: |
---|
| 642 | if i == 0: |
---|
| 643 | self.subplots[i]['axes'] = self.figure.add_subplot(rows, |
---|
| 644 | cols, i+1) |
---|
[1560] | 645 | if asaprcParams['plotter.axesformatting'] != 'mpl': |
---|
[1568] | 646 | |
---|
[1513] | 647 | self.subplots[i]['axes'].xaxis.set_major_formatter(OldScalarFormatter()) |
---|
[1153] | 648 | else: |
---|
| 649 | self.subplots[i]['axes'] = self.figure.add_subplot(rows, |
---|
| 650 | cols, i+1, |
---|
| 651 | sharex=self.subplots[0]['axes'], |
---|
| 652 | sharey=self.subplots[0]['axes']) |
---|
[1259] | 653 | |
---|
[705] | 654 | # Suppress tick labelling for interior subplots. |
---|
| 655 | if i <= (rows-1)*cols - 1: |
---|
| 656 | if i+cols < nplots: |
---|
| 657 | # Suppress x-labels for frames width |
---|
| 658 | # adjacent frames |
---|
[1153] | 659 | for tick in self.subplots[i]['axes'].xaxis.majorTicks: |
---|
| 660 | tick.label1On = False |
---|
[1019] | 661 | self.subplots[i]['axes'].xaxis.label.set_visible(False) |
---|
[705] | 662 | if i%cols: |
---|
| 663 | # Suppress y-labels for frames not in the left column. |
---|
| 664 | for tick in self.subplots[i]['axes'].yaxis.majorTicks: |
---|
| 665 | tick.label1On = False |
---|
| 666 | self.subplots[i]['axes'].yaxis.label.set_visible(False) |
---|
[1025] | 667 | # disable the first tick of [1:ncol-1] of the last row |
---|
[1153] | 668 | #if i+1 < nplots: |
---|
| 669 | # self.subplots[i]['axes'].xaxis.majorTicks[0].label1On = False |
---|
[1019] | 670 | self.rows = rows |
---|
| 671 | self.cols = cols |
---|
| 672 | self.subplot(0) |
---|
[705] | 673 | |
---|
[1153] | 674 | def tidy(self): |
---|
| 675 | # this needs to be exceuted after the first "refresh" |
---|
| 676 | nplots = len(self.subplots) |
---|
| 677 | if nplots == 1: return |
---|
| 678 | for i in xrange(nplots): |
---|
| 679 | ax = self.subplots[i]['axes'] |
---|
| 680 | if i%self.cols: |
---|
| 681 | ax.xaxis.majorTicks[0].label1On = False |
---|
| 682 | else: |
---|
| 683 | if i != 0: |
---|
| 684 | ax.yaxis.majorTicks[-1].label1On = False |
---|
| 685 | |
---|
| 686 | |
---|
[705] | 687 | def set_title(self, title=None): |
---|
[1019] | 688 | """ |
---|
| 689 | Set the title of the plot window. Use the previous title if title is |
---|
| 690 | omitted. |
---|
| 691 | """ |
---|
| 692 | if title is not None: |
---|
| 693 | self.title = title |
---|
[705] | 694 | |
---|
[1019] | 695 | self.figure.text(0.5, 0.95, self.title, horizontalalignment='center') |
---|
[705] | 696 | |
---|
| 697 | |
---|
[1153] | 698 | def show(self, hardrefresh=True): |
---|
[1019] | 699 | """ |
---|
| 700 | Show graphics dependent on the current buffering state. |
---|
| 701 | """ |
---|
[1153] | 702 | if not hardrefresh: return |
---|
[1019] | 703 | if not self.buffering: |
---|
| 704 | if self.loc is not None: |
---|
[1086] | 705 | for sp in self.subplots: |
---|
[1019] | 706 | lines = [] |
---|
| 707 | labels = [] |
---|
| 708 | i = 0 |
---|
[1086] | 709 | for line in sp['lines']: |
---|
[1019] | 710 | i += 1 |
---|
| 711 | if line is not None: |
---|
| 712 | lines.append(line[0]) |
---|
| 713 | lbl = line[0].get_label() |
---|
| 714 | if lbl == '': |
---|
| 715 | lbl = str(i) |
---|
| 716 | labels.append(lbl) |
---|
[705] | 717 | |
---|
[1019] | 718 | if len(lines): |
---|
[1147] | 719 | fp = FP(size=rcParams['legend.fontsize']) |
---|
| 720 | fsz = fp.get_size_in_points() - len(lines) |
---|
| 721 | fp.set_size(max(fsz,6)) |
---|
[1086] | 722 | sp['axes'].legend(tuple(lines), tuple(labels), |
---|
[1147] | 723 | self.loc, prop=fp) |
---|
[1019] | 724 | else: |
---|
[1086] | 725 | sp['axes'].legend((' ')) |
---|
[705] | 726 | |
---|
[1560] | 727 | |
---|
[1086] | 728 | from matplotlib.artist import setp |
---|
[1560] | 729 | fpx = FP(size=rcParams['xtick.labelsize']) |
---|
| 730 | xts = fpx.get_size_in_points()- (self.cols)/2 |
---|
| 731 | fpy = FP(size=rcParams['ytick.labelsize']) |
---|
| 732 | yts = fpy.get_size_in_points() - (self.rows)/2 |
---|
| 733 | fpa = FP(size=rcParams['axes.labelsize']) |
---|
| 734 | fpat = FP(size=rcParams['axes.titlesize']) |
---|
| 735 | axsize = fpa.get_size_in_points() |
---|
| 736 | tsize = fpat.get_size_in_points() |
---|
[1086] | 737 | for sp in self.subplots: |
---|
| 738 | ax = sp['axes'] |
---|
[1560] | 739 | off = 0 |
---|
| 740 | if len(self.subplots) > 1: |
---|
| 741 | off = self.cols+self.rows |
---|
| 742 | ax.title.set_size(tsize-off) |
---|
[1086] | 743 | setp(ax.get_xticklabels(), fontsize=xts) |
---|
| 744 | setp(ax.get_yticklabels(), fontsize=yts) |
---|
| 745 | off = 0 |
---|
[1560] | 746 | if self.cols > 1: |
---|
| 747 | off = self.cols |
---|
| 748 | ax.xaxis.label.set_size(axsize-off) |
---|
| 749 | if self.rows > 1: |
---|
| 750 | off = self.rows |
---|
| 751 | ax.yaxis.label.set_size(axsize-off) |
---|
[705] | 752 | |
---|
| 753 | def subplot(self, i=None, inc=None): |
---|
[1019] | 754 | """ |
---|
| 755 | Set the subplot to the 0-relative panel number as defined by one or |
---|
| 756 | more invokations of set_panels(). |
---|
| 757 | """ |
---|
| 758 | l = len(self.subplots) |
---|
| 759 | if l: |
---|
| 760 | if i is not None: |
---|
| 761 | self.i = i |
---|
[705] | 762 | |
---|
[1019] | 763 | if inc is not None: |
---|
| 764 | self.i += inc |
---|
[705] | 765 | |
---|
[1019] | 766 | self.i %= l |
---|
| 767 | self.axes = self.subplots[self.i]['axes'] |
---|
| 768 | self.lines = self.subplots[self.i]['lines'] |
---|
[705] | 769 | |
---|
| 770 | def text(self, *args, **kwargs): |
---|
[1019] | 771 | """ |
---|
| 772 | Add text to the figure. |
---|
| 773 | """ |
---|
| 774 | self.figure.text(*args, **kwargs) |
---|
| 775 | self.show() |
---|
[1147] | 776 | |
---|
| 777 | def vline_with_label(self, x, y, label, |
---|
| 778 | location='bottom', rotate=0.0, **kwargs): |
---|
| 779 | """ |
---|
| 780 | Plot a vertical line with label. |
---|
| 781 | It takes "world" values fo x and y. |
---|
| 782 | """ |
---|
| 783 | ax = self.axes |
---|
| 784 | # need this to suppress autoscaling during this function |
---|
| 785 | self.axes.set_autoscale_on(False) |
---|
| 786 | ymin = 0.0 |
---|
| 787 | ymax = 1.0 |
---|
| 788 | valign = 'center' |
---|
| 789 | if location.lower() == 'top': |
---|
| 790 | y = max(0.0, y) |
---|
| 791 | elif location.lower() == 'bottom': |
---|
| 792 | y = min(0.0, y) |
---|
| 793 | lbloffset = 0.06 |
---|
| 794 | # a rough estimate for the bb of the text |
---|
| 795 | if rotate > 0.0: lbloffset = 0.03*len(label) |
---|
| 796 | peakoffset = 0.01 |
---|
[1535] | 797 | xy = None |
---|
| 798 | xy0 = None |
---|
| 799 | # matplotlib api change 0.98 is using transform now |
---|
| 800 | if hasattr(ax.transData, "inverse_xy_tup"): |
---|
| 801 | # get relative coords |
---|
| 802 | xy0 = ax.transData.xy_tup((x,y)) |
---|
| 803 | xy = ax.transAxes.inverse_xy_tup(xy0) |
---|
| 804 | else: |
---|
| 805 | xy0 = ax.transData.transform((x,y)) |
---|
| 806 | # get relative coords |
---|
| 807 | xy = ax.transAxes.inverted().transform(xy0) |
---|
[1147] | 808 | if location.lower() == 'top': |
---|
| 809 | ymax = 1.0-lbloffset |
---|
| 810 | ymin = xy[1]+peakoffset |
---|
| 811 | valign = 'bottom' |
---|
| 812 | ylbl = ymax+0.01 |
---|
| 813 | elif location.lower() == 'bottom': |
---|
| 814 | ymin = lbloffset |
---|
| 815 | ymax = xy[1]-peakoffset |
---|
| 816 | valign = 'top' |
---|
| 817 | ylbl = ymin-0.01 |
---|
[1425] | 818 | trans = blended_transform_factory(ax.transData, ax.transAxes) |
---|
[1147] | 819 | l = ax.axvline(x, ymin, ymax, color='black', **kwargs) |
---|
| 820 | t = ax.text(x, ylbl ,label, verticalalignment=valign, |
---|
| 821 | horizontalalignment='center', |
---|
| 822 | rotation=rotate,transform = trans) |
---|
| 823 | self.axes.set_autoscale_on(True) |
---|