| 1 | """ |
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| 2 | ASAP plotting class based on matplotlib. |
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| 3 | """ |
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| 4 | |
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| 5 | import sys |
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| 6 | from re import match |
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| 7 | |
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| 8 | import matplotlib |
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| 9 | |
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| 10 | from matplotlib.figure import Figure, Text |
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| 11 | from matplotlib.font_manager import FontProperties as FP |
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| 12 | from matplotlib.numerix import sqrt |
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| 13 | from matplotlib import rc, rcParams |
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| 14 | from asap import rcParams as asaprcParams |
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| 15 | from matplotlib.ticker import OldScalarFormatter |
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| 16 | from matplotlib.ticker import NullLocator |
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| 17 | |
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| 18 | # API change in mpl >= 0.98 |
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| 19 | try: |
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| 20 | from matplotlib.transforms import blended_transform_factory |
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| 21 | except ImportError: |
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| 22 | from matplotlib.transforms import blend_xy_sep_transform as blended_transform_factory |
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| 23 | |
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| 24 | from taskinit import * |
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| 25 | |
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| 26 | if int(matplotlib.__version__.split(".")[1]) < 87: |
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| 27 | #print "Warning: matplotlib version < 0.87. This might cause errors. Please upgrade." |
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| 28 | casalog.post( "matplotlib version < 0.87. This might cause errors. Please upgrade.", 'WARN' ) |
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| 29 | |
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| 30 | #class MyFormatter(OldScalarFormatter): |
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| 31 | # def __call__(self, x, pos=None): |
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| 32 | # last = len(self.locs)-2 |
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| 33 | # if pos==0: |
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| 34 | # return '' |
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| 35 | # else: return OldScalarFormatter.__call__(self, x, pos) |
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| 36 | |
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| 37 | class asaplotbase: |
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| 38 | """ |
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| 39 | ASAP plotting base class based on matplotlib. |
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| 40 | """ |
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| 41 | |
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| 42 | def __init__(self, rows=1, cols=0, title='', size=(8,6), buffering=False): |
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| 43 | """ |
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| 44 | Create a new instance of the ASAPlot plotting class. |
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| 45 | |
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| 46 | If rows < 1 then a separate call to set_panels() is required to define |
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| 47 | the panel layout; refer to the doctext for set_panels(). |
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| 48 | """ |
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| 49 | self.is_dead = False |
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| 50 | self.figure = Figure(figsize=size, facecolor='#ddddee') |
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| 51 | self.canvas = None |
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| 52 | |
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| 53 | self.set_title(title) |
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| 54 | self.subplots = [] |
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| 55 | if rows > 0: |
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| 56 | self.set_panels(rows, cols) |
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| 57 | |
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| 58 | # Set matplotlib default colour sequence. |
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| 59 | self.colormap = "green red black cyan magenta orange blue purple yellow pink".split() |
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| 60 | |
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| 61 | c = asaprcParams['plotter.colours'] |
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| 62 | if isinstance(c,str) and len(c) > 0: |
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| 63 | self.colormap = c.split() |
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| 64 | |
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| 65 | self.lsalias = {"line": [1,0], |
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| 66 | "dashdot": [4,2,1,2], |
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| 67 | "dashed" : [4,2,4,2], |
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| 68 | "dotted" : [1,2], |
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| 69 | "dashdotdot": [4,2,1,2,1,2], |
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| 70 | "dashdashdot": [4,2,4,2,1,2] |
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| 71 | } |
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| 72 | |
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| 73 | styles = "line dashed dotted dashdot".split() |
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| 74 | c = asaprcParams['plotter.linestyles'] |
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| 75 | if isinstance(c,str) and len(c) > 0: |
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| 76 | styles = c.split() |
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| 77 | s = [] |
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| 78 | for ls in styles: |
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| 79 | if self.lsalias.has_key(ls): |
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| 80 | s.append(self.lsalias.get(ls)) |
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| 81 | else: |
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| 82 | s.append('-') |
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| 83 | self.linestyles = s |
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| 84 | |
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| 85 | self.color = 0; |
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| 86 | self.linestyle = 0; |
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| 87 | self.attributes = {} |
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| 88 | self.loc = 0 |
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| 89 | |
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| 90 | self.buffering = buffering |
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| 91 | |
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| 92 | def clear(self): |
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| 93 | """ |
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| 94 | Delete all lines from the plot. Line numbering will restart from 0. |
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| 95 | """ |
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| 96 | |
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| 97 | for i in range(len(self.lines)): |
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| 98 | self.delete(i) |
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| 99 | self.axes.clear() |
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| 100 | self.color = 0 |
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| 101 | self.lines = [] |
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| 102 | |
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| 103 | def palette(self, color, colormap=None, linestyle=0, linestyles=None): |
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| 104 | if colormap: |
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| 105 | if isinstance(colormap,list): |
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| 106 | self.colormap = colormap |
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| 107 | elif isinstance(colormap,str): |
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| 108 | self.colormap = colormap.split() |
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| 109 | if 0 <= color < len(self.colormap): |
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| 110 | self.color = color |
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| 111 | if linestyles: |
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| 112 | self.linestyles = [] |
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| 113 | if isinstance(linestyles,list): |
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| 114 | styles = linestyles |
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| 115 | elif isinstance(linestyles,str): |
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| 116 | styles = linestyles.split() |
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| 117 | for ls in styles: |
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| 118 | if self.lsalias.has_key(ls): |
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| 119 | self.linestyles.append(self.lsalias.get(ls)) |
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| 120 | else: |
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| 121 | self.linestyles.append(self.lsalias.get('line')) |
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| 122 | if 0 <= linestyle < len(self.linestyles): |
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| 123 | self.linestyle = linestyle |
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| 124 | |
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| 125 | def delete(self, numbers=None): |
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| 126 | """ |
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| 127 | Delete the 0-relative line number, default is to delete the last. |
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| 128 | The remaining lines are NOT renumbered. |
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| 129 | """ |
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| 130 | |
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| 131 | if numbers is None: numbers = [len(self.lines)-1] |
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| 132 | |
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| 133 | if not hasattr(numbers, '__iter__'): |
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| 134 | numbers = [numbers] |
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| 135 | |
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| 136 | for number in numbers: |
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| 137 | if 0 <= number < len(self.lines): |
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| 138 | if self.lines[number] is not None: |
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| 139 | for line in self.lines[number]: |
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| 140 | line.set_linestyle('None') |
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| 141 | self.lines[number] = None |
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| 142 | self.show() |
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| 143 | |
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| 144 | def get_line(self): |
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| 145 | """ |
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| 146 | Get the current default line attributes. |
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| 147 | """ |
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| 148 | return self.attributes |
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| 149 | |
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| 150 | |
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| 151 | def hist(self, x=None, y=None, fmt=None, add=None): |
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| 152 | """ |
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| 153 | Plot a histogram. N.B. the x values refer to the start of the |
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| 154 | histogram bin. |
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| 155 | |
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| 156 | fmt is the line style as in plot(). |
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| 157 | """ |
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| 158 | from matplotlib.numerix import array |
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| 159 | from matplotlib.numerix.ma import MaskedArray |
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| 160 | if x is None: |
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| 161 | if y is None: return |
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| 162 | x = range(len(y)) |
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| 163 | |
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| 164 | if len(x) != len(y): |
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| 165 | return |
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| 166 | l2 = 2*len(x) |
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| 167 | x2 = range(l2) |
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| 168 | y2 = range(12) |
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| 169 | y2 = range(l2) |
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| 170 | m2 = range(l2) |
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| 171 | ymsk = None |
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| 172 | ydat = None |
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| 173 | if hasattr(y, "raw_mask"): |
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| 174 | # numpy < 1.1 |
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| 175 | ymsk = y.raw_mask() |
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| 176 | ydat = y.raw_data() |
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| 177 | else: |
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| 178 | ymsk = y.mask |
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| 179 | ydat = y.data |
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| 180 | for i in range(l2): |
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| 181 | x2[i] = x[i/2] |
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| 182 | m2[i] = ymsk[i/2] |
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| 183 | |
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| 184 | y2[0] = 0.0 |
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| 185 | for i in range(1,l2): |
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| 186 | y2[i] = ydat[(i-1)/2] |
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| 187 | |
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| 188 | self.plot(x2, MaskedArray(y2,mask=m2,copy=0), fmt, add) |
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| 189 | |
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| 190 | |
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| 191 | def hold(self, hold=True): |
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| 192 | """ |
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| 193 | Buffer graphics until subsequently released. |
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| 194 | """ |
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| 195 | self.buffering = hold |
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| 196 | |
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| 197 | |
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| 198 | def legend(self, loc=None): |
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| 199 | """ |
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| 200 | Add a legend to the plot. |
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| 201 | |
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| 202 | Any other value for loc else disables the legend: |
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| 203 | 1: upper right |
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| 204 | 2: upper left |
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| 205 | 3: lower left |
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| 206 | 4: lower right |
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| 207 | 5: right |
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| 208 | 6: center left |
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| 209 | 7: center right |
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| 210 | 8: lower center |
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| 211 | 9: upper center |
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| 212 | 10: center |
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| 213 | |
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| 214 | """ |
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| 215 | if isinstance(loc, int): |
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| 216 | self.loc = None |
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| 217 | if 0 <= loc <= 10: self.loc = loc |
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| 218 | else: |
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| 219 | self.loc = None |
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| 220 | #self.show() |
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| 221 | |
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| 222 | |
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| 223 | def plot(self, x=None, y=None, fmt=None, add=None): |
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| 224 | """ |
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| 225 | Plot the next line in the current frame using the current line |
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| 226 | attributes. The ASAPlot graphics window will be mapped and raised. |
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| 227 | |
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| 228 | The argument list works a bit like the matlab plot() function. |
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| 229 | """ |
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| 230 | if x is None: |
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| 231 | if y is None: return |
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| 232 | x = range(len(y)) |
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| 233 | |
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| 234 | elif y is None: |
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| 235 | y = x |
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| 236 | x = range(len(y)) |
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| 237 | if fmt is None: |
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| 238 | line = self.axes.plot(x, y) |
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| 239 | else: |
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| 240 | line = self.axes.plot(x, y, fmt) |
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| 241 | |
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| 242 | # Add to an existing line? |
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| 243 | i = None |
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| 244 | if add is None or len(self.lines) < add < 0: |
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| 245 | # Don't add. |
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| 246 | self.lines.append(line) |
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| 247 | i = len(self.lines) - 1 |
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| 248 | else: |
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| 249 | if add == 0: add = len(self.lines) |
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| 250 | i = add - 1 |
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| 251 | self.lines[i].extend(line) |
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| 252 | |
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| 253 | # Set/reset attributes for the line. |
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| 254 | gotcolour = False |
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| 255 | for k, v in self.attributes.iteritems(): |
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| 256 | if k == 'color': gotcolour = True |
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| 257 | for segment in self.lines[i]: |
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| 258 | getattr(segment, "set_%s"%k)(v) |
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| 259 | |
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| 260 | if not gotcolour and len(self.colormap): |
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| 261 | for segment in self.lines[i]: |
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| 262 | getattr(segment, "set_color")(self.colormap[self.color]) |
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| 263 | if len(self.colormap) == 1: |
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| 264 | getattr(segment, "set_dashes")(self.linestyles[self.linestyle]) |
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| 265 | |
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| 266 | self.color += 1 |
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| 267 | if self.color >= len(self.colormap): |
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| 268 | self.color = 0 |
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| 269 | |
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| 270 | if len(self.colormap) == 1: |
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| 271 | self.linestyle += 1 |
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| 272 | if self.linestyle >= len(self.linestyles): |
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| 273 | self.linestyle = 0 |
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| 274 | |
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| 275 | self.show() |
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| 276 | |
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| 277 | |
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| 278 | def position(self): |
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| 279 | """ |
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| 280 | Use the mouse to get a position from a graph. |
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| 281 | """ |
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| 282 | |
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| 283 | def position_disable(event): |
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| 284 | self.register('button_press', None) |
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| 285 | print '%.4f, %.4f' % (event.xdata, event.ydata) |
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| 286 | |
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| 287 | print 'Press any mouse button...' |
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| 288 | self.register('button_press', position_disable) |
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| 289 | |
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| 290 | |
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| 291 | def region(self): |
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| 292 | """ |
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| 293 | Use the mouse to get a rectangular region from a plot. |
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| 294 | |
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| 295 | The return value is [x0, y0, x1, y1] in world coordinates. |
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| 296 | """ |
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| 297 | |
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| 298 | def region_start(event): |
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| 299 | height = self.canvas.figure.bbox.height() |
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| 300 | self.rect = {'fig': None, 'height': height, |
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| 301 | 'x': event.x, 'y': height - event.y, |
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| 302 | 'world': [event.xdata, event.ydata, |
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| 303 | event.xdata, event.ydata]} |
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| 304 | self.register('button_press', None) |
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| 305 | self.register('motion_notify', region_draw) |
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| 306 | self.register('button_release', region_disable) |
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| 307 | |
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| 308 | def region_draw(event): |
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| 309 | self.canvas._tkcanvas.delete(self.rect['fig']) |
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| 310 | self.rect['fig'] = self.canvas._tkcanvas.create_rectangle( |
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| 311 | self.rect['x'], self.rect['y'], |
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| 312 | event.x, self.rect['height'] - event.y) |
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| 313 | |
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| 314 | def region_disable(event): |
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| 315 | self.register('motion_notify', None) |
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| 316 | self.register('button_release', None) |
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| 317 | |
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| 318 | self.canvas._tkcanvas.delete(self.rect['fig']) |
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| 319 | |
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| 320 | self.rect['world'][2:4] = [event.xdata, event.ydata] |
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| 321 | print '(%.2f, %.2f) (%.2f, %.2f)' % (self.rect['world'][0], |
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| 322 | self.rect['world'][1], self.rect['world'][2], |
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| 323 | self.rect['world'][3]) |
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| 324 | |
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| 325 | self.register('button_press', region_start) |
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| 326 | |
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| 327 | # This has to be modified to block and return the result (currently |
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| 328 | # printed by region_disable) when that becomes possible in matplotlib. |
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| 329 | |
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| 330 | return [0.0, 0.0, 0.0, 0.0] |
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| 331 | |
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| 332 | |
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| 333 | def register(self, type=None, func=None): |
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| 334 | """ |
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| 335 | Register, reregister, or deregister events of type 'button_press', |
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| 336 | 'button_release', or 'motion_notify'. |
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| 337 | |
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| 338 | The specified callback function should have the following signature: |
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| 339 | |
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| 340 | def func(event) |
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| 341 | |
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| 342 | where event is an MplEvent instance containing the following data: |
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| 343 | |
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| 344 | name # Event name. |
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| 345 | canvas # FigureCanvas instance generating the event. |
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| 346 | x = None # x position - pixels from left of canvas. |
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| 347 | y = None # y position - pixels from bottom of canvas. |
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| 348 | button = None # Button pressed: None, 1, 2, 3. |
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| 349 | key = None # Key pressed: None, chr(range(255)), shift, |
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| 350 | win, or control |
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| 351 | inaxes = None # Axes instance if cursor within axes. |
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| 352 | xdata = None # x world coordinate. |
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| 353 | ydata = None # y world coordinate. |
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| 354 | |
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| 355 | For example: |
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| 356 | |
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| 357 | def mouse_move(event): |
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| 358 | print event.xdata, event.ydata |
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| 359 | |
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| 360 | a = asaplot() |
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| 361 | a.register('motion_notify', mouse_move) |
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| 362 | |
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| 363 | If func is None, the event is deregistered. |
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| 364 | |
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| 365 | Note that in TkAgg keyboard button presses don't generate an event. |
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| 366 | """ |
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| 367 | |
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| 368 | if not self.events.has_key(type): return |
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| 369 | |
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| 370 | if func is None: |
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| 371 | if self.events[type] is not None: |
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| 372 | # It's not clear that this does anything. |
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| 373 | self.canvas.mpl_disconnect(self.events[type]) |
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| 374 | self.events[type] = None |
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| 375 | |
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| 376 | # It seems to be necessary to return events to the toolbar. |
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| 377 | if type == 'motion_notify': |
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| 378 | self.canvas.mpl_connect(type + '_event', |
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| 379 | self.figmgr.toolbar.mouse_move) |
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| 380 | elif type == 'button_press': |
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| 381 | self.canvas.mpl_connect(type + '_event', |
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| 382 | self.figmgr.toolbar.press) |
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| 383 | elif type == 'button_release': |
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| 384 | self.canvas.mpl_connect(type + '_event', |
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| 385 | self.figmgr.toolbar.release) |
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| 386 | |
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| 387 | else: |
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| 388 | self.events[type] = self.canvas.mpl_connect(type + '_event', func) |
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| 389 | |
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| 390 | |
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| 391 | def release(self): |
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| 392 | """ |
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| 393 | Release buffered graphics. |
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| 394 | """ |
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| 395 | self.buffering = False |
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| 396 | self.show() |
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| 397 | |
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| 398 | |
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| 399 | def save(self, fname=None, orientation=None, dpi=None, papertype=None): |
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| 400 | """ |
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| 401 | Save the plot to a file. |
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| 402 | |
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| 403 | fname is the name of the output file. The image format is determined |
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| 404 | from the file suffix; 'png', 'ps', and 'eps' are recognized. If no |
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| 405 | file name is specified 'yyyymmdd_hhmmss.png' is created in the current |
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| 406 | directory. |
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| 407 | """ |
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| 408 | from asap import rcParams |
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| 409 | if papertype is None: |
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| 410 | papertype = rcParams['plotter.papertype'] |
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| 411 | if fname is None: |
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| 412 | from datetime import datetime |
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| 413 | dstr = datetime.now().strftime('%Y%m%d_%H%M%S') |
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| 414 | fname = 'asap'+dstr+'.png' |
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| 415 | |
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| 416 | d = ['png','.ps','eps'] |
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| 417 | |
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| 418 | from os.path import expandvars |
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| 419 | fname = expandvars(fname) |
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| 420 | |
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| 421 | if fname[-3:].lower() in d: |
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| 422 | try: |
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| 423 | if fname[-3:].lower() == ".ps": |
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| 424 | from matplotlib import __version__ as mv |
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| 425 | w = self.figure.get_figwidth() |
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| 426 | h = self.figure.get_figheight() |
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| 427 | |
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| 428 | if orientation is None: |
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| 429 | # oriented |
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| 430 | if w > h: |
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| 431 | orientation = 'landscape' |
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| 432 | else: |
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| 433 | orientation = 'portrait' |
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| 434 | from matplotlib.backends.backend_ps import papersize |
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| 435 | pw,ph = papersize[papertype.lower()] |
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| 436 | ds = None |
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| 437 | if orientation == 'landscape': |
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| 438 | ds = min(ph/w, pw/h) |
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| 439 | else: |
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| 440 | ds = min(pw/w, ph/h) |
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| 441 | ow = ds * w |
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| 442 | oh = ds * h |
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| 443 | self.figure.set_size_inches((ow, oh)) |
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| 444 | self.figure.savefig(fname, orientation=orientation, |
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| 445 | papertype=papertype.lower()) |
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| 446 | self.figure.set_size_inches((w, h)) |
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| 447 | print 'Written file %s' % (fname) |
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| 448 | else: |
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| 449 | if dpi is None: |
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| 450 | dpi =150 |
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| 451 | self.figure.savefig(fname,dpi=dpi) |
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| 452 | print 'Written file %s' % (fname) |
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| 453 | except IOError, msg: |
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| 454 | #print 'Failed to save %s: Error msg was\n\n%s' % (fname, err) |
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| 455 | casalog.post( 'Failed to save %s: Error msg was\n\n%s' % (fname, err), 'WARN' ) |
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| 456 | return |
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| 457 | else: |
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| 458 | #print "Invalid image type. Valid types are:" |
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| 459 | #print "'ps', 'eps', 'png'" |
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| 460 | casalog.post( "Invalid image type. Valid types are:", 'WARN' ) |
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| 461 | casalog.post( "'ps', 'eps', 'png'", 'WARN' ) |
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| 462 | |
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| 463 | |
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| 464 | def set_axes(self, what=None, *args, **kwargs): |
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| 465 | """ |
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| 466 | Set attributes for the axes by calling the relevant Axes.set_*() |
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| 467 | method. Colour translation is done as described in the doctext |
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| 468 | for palette(). |
|---|
| 469 | """ |
|---|
| 470 | |
|---|
| 471 | if what is None: return |
|---|
| 472 | if what[-6:] == 'colour': what = what[:-6] + 'color' |
|---|
| 473 | |
|---|
| 474 | key = "colour" |
|---|
| 475 | if kwargs.has_key(key): |
|---|
| 476 | val = kwargs.pop(key) |
|---|
| 477 | kwargs["color"] = val |
|---|
| 478 | |
|---|
| 479 | getattr(self.axes, "set_%s"%what)(*args, **kwargs) |
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| 480 | |
|---|
| 481 | self.show(hardrefresh=False) |
|---|
| 482 | |
|---|
| 483 | |
|---|
| 484 | def set_figure(self, what=None, *args, **kwargs): |
|---|
| 485 | """ |
|---|
| 486 | Set attributes for the figure by calling the relevant Figure.set_*() |
|---|
| 487 | method. Colour translation is done as described in the doctext |
|---|
| 488 | for palette(). |
|---|
| 489 | """ |
|---|
| 490 | |
|---|
| 491 | if what is None: return |
|---|
| 492 | if what[-6:] == 'colour': what = what[:-6] + 'color' |
|---|
| 493 | #if what[-5:] == 'color' and len(args): |
|---|
| 494 | # args = (get_colour(args[0]),) |
|---|
| 495 | |
|---|
| 496 | newargs = {} |
|---|
| 497 | for k, v in kwargs.iteritems(): |
|---|
| 498 | k = k.lower() |
|---|
| 499 | if k == 'colour': k = 'color' |
|---|
| 500 | newargs[k] = v |
|---|
| 501 | |
|---|
| 502 | getattr(self.figure, "set_%s"%what)(*args, **newargs) |
|---|
| 503 | self.show(hardrefresh=False) |
|---|
| 504 | |
|---|
| 505 | |
|---|
| 506 | def set_limits(self, xlim=None, ylim=None): |
|---|
| 507 | """ |
|---|
| 508 | Set x-, and y-limits for each subplot. |
|---|
| 509 | |
|---|
| 510 | xlim = [xmin, xmax] as in axes.set_xlim(). |
|---|
| 511 | ylim = [ymin, ymax] as in axes.set_ylim(). |
|---|
| 512 | """ |
|---|
| 513 | for s in self.subplots: |
|---|
| 514 | self.axes = s['axes'] |
|---|
| 515 | self.lines = s['lines'] |
|---|
| 516 | oldxlim = list(self.axes.get_xlim()) |
|---|
| 517 | oldylim = list(self.axes.get_ylim()) |
|---|
| 518 | if xlim is not None: |
|---|
| 519 | for i in range(len(xlim)): |
|---|
| 520 | if xlim[i] is not None: |
|---|
| 521 | oldxlim[i] = xlim[i] |
|---|
| 522 | if ylim is not None: |
|---|
| 523 | for i in range(len(ylim)): |
|---|
| 524 | if ylim[i] is not None: |
|---|
| 525 | oldylim[i] = ylim[i] |
|---|
| 526 | self.axes.set_xlim(oldxlim) |
|---|
| 527 | self.axes.set_ylim(oldylim) |
|---|
| 528 | return |
|---|
| 529 | |
|---|
| 530 | |
|---|
| 531 | def set_line(self, number=None, **kwargs): |
|---|
| 532 | """ |
|---|
| 533 | Set attributes for the specified line, or else the next line(s) |
|---|
| 534 | to be plotted. |
|---|
| 535 | |
|---|
| 536 | number is the 0-relative number of a line that has already been |
|---|
| 537 | plotted. If no such line exists, attributes are recorded and used |
|---|
| 538 | for the next line(s) to be plotted. |
|---|
| 539 | |
|---|
| 540 | Keyword arguments specify Line2D attributes, e.g. color='r'. Do |
|---|
| 541 | |
|---|
| 542 | import matplotlib |
|---|
| 543 | help(matplotlib.lines) |
|---|
| 544 | |
|---|
| 545 | The set_* methods of class Line2D define the attribute names and |
|---|
| 546 | values. For non-US usage, "colour" is recognized as synonymous with |
|---|
| 547 | "color". |
|---|
| 548 | |
|---|
| 549 | Set the value to None to delete an attribute. |
|---|
| 550 | |
|---|
| 551 | Colour translation is done as described in the doctext for palette(). |
|---|
| 552 | """ |
|---|
| 553 | |
|---|
| 554 | redraw = False |
|---|
| 555 | for k, v in kwargs.iteritems(): |
|---|
| 556 | k = k.lower() |
|---|
| 557 | if k == 'colour': k = 'color' |
|---|
| 558 | |
|---|
| 559 | if 0 <= number < len(self.lines): |
|---|
| 560 | if self.lines[number] is not None: |
|---|
| 561 | for line in self.lines[number]: |
|---|
| 562 | getattr(line, "set_%s"%k)(v) |
|---|
| 563 | redraw = True |
|---|
| 564 | else: |
|---|
| 565 | if v is None: |
|---|
| 566 | del self.attributes[k] |
|---|
| 567 | else: |
|---|
| 568 | self.attributes[k] = v |
|---|
| 569 | |
|---|
| 570 | if redraw: self.show(hardrefresh=False) |
|---|
| 571 | |
|---|
| 572 | |
|---|
| 573 | def set_panels(self, rows=1, cols=0, n=-1, nplots=-1, ganged=True): |
|---|
| 574 | """ |
|---|
| 575 | Set the panel layout. |
|---|
| 576 | |
|---|
| 577 | rows and cols, if cols != 0, specify the number of rows and columns in |
|---|
| 578 | a regular layout. (Indexing of these panels in matplotlib is row- |
|---|
| 579 | major, i.e. column varies fastest.) |
|---|
| 580 | |
|---|
| 581 | cols == 0 is interpreted as a retangular layout that accomodates |
|---|
| 582 | 'rows' panels, e.g. rows == 6, cols == 0 is equivalent to |
|---|
| 583 | rows == 2, cols == 3. |
|---|
| 584 | |
|---|
| 585 | 0 <= n < rows*cols is interpreted as the 0-relative panel number in |
|---|
| 586 | the configuration specified by rows and cols to be added to the |
|---|
| 587 | current figure as its next 0-relative panel number (i). This allows |
|---|
| 588 | non-regular panel layouts to be constructed via multiple calls. Any |
|---|
| 589 | other value of n clears the plot and produces a rectangular array of |
|---|
| 590 | empty panels. The number of these may be limited by nplots. |
|---|
| 591 | """ |
|---|
| 592 | if n < 0 and len(self.subplots): |
|---|
| 593 | self.figure.clear() |
|---|
| 594 | self.set_title() |
|---|
| 595 | |
|---|
| 596 | if rows < 1: rows = 1 |
|---|
| 597 | |
|---|
| 598 | if cols <= 0: |
|---|
| 599 | i = int(sqrt(rows)) |
|---|
| 600 | if i*i < rows: i += 1 |
|---|
| 601 | cols = i |
|---|
| 602 | |
|---|
| 603 | if i*(i-1) >= rows: i -= 1 |
|---|
| 604 | rows = i |
|---|
| 605 | |
|---|
| 606 | if 0 <= n < rows*cols: |
|---|
| 607 | i = len(self.subplots) |
|---|
| 608 | self.subplots.append({}) |
|---|
| 609 | |
|---|
| 610 | self.subplots[i]['axes'] = self.figure.add_subplot(rows, |
|---|
| 611 | cols, n+1) |
|---|
| 612 | self.subplots[i]['lines'] = [] |
|---|
| 613 | |
|---|
| 614 | if i == 0: self.subplot(0) |
|---|
| 615 | |
|---|
| 616 | self.rows = 0 |
|---|
| 617 | self.cols = 0 |
|---|
| 618 | |
|---|
| 619 | else: |
|---|
| 620 | self.subplots = [] |
|---|
| 621 | |
|---|
| 622 | if nplots < 1 or rows*cols < nplots: |
|---|
| 623 | nplots = rows*cols |
|---|
| 624 | if ganged: |
|---|
| 625 | hsp,wsp = None,None |
|---|
| 626 | if rows > 1: hsp = 0.0001 |
|---|
| 627 | if cols > 1: wsp = 0.0001 |
|---|
| 628 | self.figure.subplots_adjust(wspace=wsp,hspace=hsp) |
|---|
| 629 | for i in range(nplots): |
|---|
| 630 | self.subplots.append({}) |
|---|
| 631 | self.subplots[i]['lines'] = [] |
|---|
| 632 | if not ganged: |
|---|
| 633 | self.subplots[i]['axes'] = self.figure.add_subplot(rows, |
|---|
| 634 | cols, i+1) |
|---|
| 635 | if asaprcParams['plotter.xaxisformatting'] == 'mpl': |
|---|
| 636 | self.subplots[i]['axes'].xaxis.set_major_formatter(OldScalarFormatter()) |
|---|
| 637 | else: |
|---|
| 638 | if i == 0: |
|---|
| 639 | self.subplots[i]['axes'] = self.figure.add_subplot(rows, |
|---|
| 640 | cols, i+1) |
|---|
| 641 | if asaprcParams['plotter.xaxisformatting'] != 'mpl': |
|---|
| 642 | |
|---|
| 643 | self.subplots[i]['axes'].xaxis.set_major_formatter(OldScalarFormatter()) |
|---|
| 644 | else: |
|---|
| 645 | self.subplots[i]['axes'] = self.figure.add_subplot(rows, |
|---|
| 646 | cols, i+1, |
|---|
| 647 | sharex=self.subplots[0]['axes'], |
|---|
| 648 | sharey=self.subplots[0]['axes']) |
|---|
| 649 | |
|---|
| 650 | # Suppress tick labelling for interior subplots. |
|---|
| 651 | if i <= (rows-1)*cols - 1: |
|---|
| 652 | if i+cols < nplots: |
|---|
| 653 | # Suppress x-labels for frames width |
|---|
| 654 | # adjacent frames |
|---|
| 655 | for tick in self.subplots[i]['axes'].xaxis.majorTicks: |
|---|
| 656 | tick.label1On = False |
|---|
| 657 | self.subplots[i]['axes'].xaxis.label.set_visible(False) |
|---|
| 658 | if i%cols: |
|---|
| 659 | # Suppress y-labels for frames not in the left column. |
|---|
| 660 | for tick in self.subplots[i]['axes'].yaxis.majorTicks: |
|---|
| 661 | tick.label1On = False |
|---|
| 662 | self.subplots[i]['axes'].yaxis.label.set_visible(False) |
|---|
| 663 | # disable the first tick of [1:ncol-1] of the last row |
|---|
| 664 | #if i+1 < nplots: |
|---|
| 665 | # self.subplots[i]['axes'].xaxis.majorTicks[0].label1On = False |
|---|
| 666 | self.rows = rows |
|---|
| 667 | self.cols = cols |
|---|
| 668 | self.subplot(0) |
|---|
| 669 | |
|---|
| 670 | def tidy(self): |
|---|
| 671 | # this needs to be exceuted after the first "refresh" |
|---|
| 672 | nplots = len(self.subplots) |
|---|
| 673 | if nplots == 1: return |
|---|
| 674 | for i in xrange(nplots): |
|---|
| 675 | ax = self.subplots[i]['axes'] |
|---|
| 676 | if i%self.cols: |
|---|
| 677 | ax.xaxis.majorTicks[0].label1On = False |
|---|
| 678 | else: |
|---|
| 679 | if i != 0: |
|---|
| 680 | ax.yaxis.majorTicks[-1].label1On = False |
|---|
| 681 | |
|---|
| 682 | |
|---|
| 683 | def set_title(self, title=None): |
|---|
| 684 | """ |
|---|
| 685 | Set the title of the plot window. Use the previous title if title is |
|---|
| 686 | omitted. |
|---|
| 687 | """ |
|---|
| 688 | if title is not None: |
|---|
| 689 | self.title = title |
|---|
| 690 | |
|---|
| 691 | self.figure.text(0.5, 0.95, self.title, horizontalalignment='center') |
|---|
| 692 | |
|---|
| 693 | |
|---|
| 694 | def show(self, hardrefresh=True): |
|---|
| 695 | """ |
|---|
| 696 | Show graphics dependent on the current buffering state. |
|---|
| 697 | """ |
|---|
| 698 | if not hardrefresh: return |
|---|
| 699 | if not self.buffering: |
|---|
| 700 | if self.loc is not None: |
|---|
| 701 | for sp in self.subplots: |
|---|
| 702 | lines = [] |
|---|
| 703 | labels = [] |
|---|
| 704 | i = 0 |
|---|
| 705 | for line in sp['lines']: |
|---|
| 706 | i += 1 |
|---|
| 707 | if line is not None: |
|---|
| 708 | lines.append(line[0]) |
|---|
| 709 | lbl = line[0].get_label() |
|---|
| 710 | if lbl == '': |
|---|
| 711 | lbl = str(i) |
|---|
| 712 | labels.append(lbl) |
|---|
| 713 | |
|---|
| 714 | if len(lines): |
|---|
| 715 | fp = FP(size=rcParams['legend.fontsize']) |
|---|
| 716 | fsz = fp.get_size_in_points() - len(lines) |
|---|
| 717 | fp.set_size(max(fsz,6)) |
|---|
| 718 | sp['axes'].legend(tuple(lines), tuple(labels), |
|---|
| 719 | self.loc, prop=fp) |
|---|
| 720 | else: |
|---|
| 721 | sp['axes'].legend((' ')) |
|---|
| 722 | |
|---|
| 723 | from matplotlib.artist import setp |
|---|
| 724 | fp = FP(size=rcParams['xtick.labelsize']) |
|---|
| 725 | xts = fp.get_size_in_points()- (self.cols)/2 |
|---|
| 726 | fp = FP(size=rcParams['ytick.labelsize']) |
|---|
| 727 | yts = fp.get_size_in_points() - (self.rows)/2 |
|---|
| 728 | for sp in self.subplots: |
|---|
| 729 | ax = sp['axes'] |
|---|
| 730 | s = ax.title.get_size() |
|---|
| 731 | tsize = s-(self.cols+self.rows) |
|---|
| 732 | ax.title.set_size(tsize) |
|---|
| 733 | fp = FP(size=rcParams['axes.labelsize']) |
|---|
| 734 | setp(ax.get_xticklabels(), fontsize=xts) |
|---|
| 735 | setp(ax.get_yticklabels(), fontsize=yts) |
|---|
| 736 | origx = fp.get_size_in_points() |
|---|
| 737 | origy = origx |
|---|
| 738 | off = 0 |
|---|
| 739 | if self.cols > 1: off = self.cols |
|---|
| 740 | xfsize = origx-off |
|---|
| 741 | ax.xaxis.label.set_size(xfsize) |
|---|
| 742 | off = 0 |
|---|
| 743 | if self.rows > 1: off = self.rows |
|---|
| 744 | yfsize = origy-off |
|---|
| 745 | ax.yaxis.label.set_size(yfsize) |
|---|
| 746 | |
|---|
| 747 | def subplot(self, i=None, inc=None): |
|---|
| 748 | """ |
|---|
| 749 | Set the subplot to the 0-relative panel number as defined by one or |
|---|
| 750 | more invokations of set_panels(). |
|---|
| 751 | """ |
|---|
| 752 | l = len(self.subplots) |
|---|
| 753 | if l: |
|---|
| 754 | if i is not None: |
|---|
| 755 | self.i = i |
|---|
| 756 | |
|---|
| 757 | if inc is not None: |
|---|
| 758 | self.i += inc |
|---|
| 759 | |
|---|
| 760 | self.i %= l |
|---|
| 761 | self.axes = self.subplots[self.i]['axes'] |
|---|
| 762 | self.lines = self.subplots[self.i]['lines'] |
|---|
| 763 | |
|---|
| 764 | def text(self, *args, **kwargs): |
|---|
| 765 | """ |
|---|
| 766 | Add text to the figure. |
|---|
| 767 | """ |
|---|
| 768 | self.figure.text(*args, **kwargs) |
|---|
| 769 | self.show() |
|---|
| 770 | |
|---|
| 771 | def vline_with_label(self, x, y, label, |
|---|
| 772 | location='bottom', rotate=0.0, **kwargs): |
|---|
| 773 | """ |
|---|
| 774 | Plot a vertical line with label. |
|---|
| 775 | It takes "world" values fo x and y. |
|---|
| 776 | """ |
|---|
| 777 | ax = self.axes |
|---|
| 778 | # need this to suppress autoscaling during this function |
|---|
| 779 | self.axes.set_autoscale_on(False) |
|---|
| 780 | ymin = 0.0 |
|---|
| 781 | ymax = 1.0 |
|---|
| 782 | valign = 'center' |
|---|
| 783 | if location.lower() == 'top': |
|---|
| 784 | y = max(0.0, y) |
|---|
| 785 | elif location.lower() == 'bottom': |
|---|
| 786 | y = min(0.0, y) |
|---|
| 787 | lbloffset = 0.06 |
|---|
| 788 | # a rough estimate for the bb of the text |
|---|
| 789 | if rotate > 0.0: lbloffset = 0.03*len(label) |
|---|
| 790 | peakoffset = 0.01 |
|---|
| 791 | xy = None |
|---|
| 792 | xy0 = None |
|---|
| 793 | # matplotlib api change 0.98 is using transform now |
|---|
| 794 | if hasattr(ax.transData, "inverse_xy_tup"): |
|---|
| 795 | # get relative coords |
|---|
| 796 | xy0 = ax.transData.xy_tup((x,y)) |
|---|
| 797 | xy = ax.transAxes.inverse_xy_tup(xy0) |
|---|
| 798 | else: |
|---|
| 799 | xy0 = ax.transData.transform((x,y)) |
|---|
| 800 | # get relative coords |
|---|
| 801 | xy = ax.transAxes.inverted().transform(xy0) |
|---|
| 802 | if location.lower() == 'top': |
|---|
| 803 | ymax = 1.0-lbloffset |
|---|
| 804 | ymin = xy[1]+peakoffset |
|---|
| 805 | valign = 'bottom' |
|---|
| 806 | ylbl = ymax+0.01 |
|---|
| 807 | elif location.lower() == 'bottom': |
|---|
| 808 | ymin = lbloffset |
|---|
| 809 | ymax = xy[1]-peakoffset |
|---|
| 810 | valign = 'top' |
|---|
| 811 | ylbl = ymin-0.01 |
|---|
| 812 | trans = blended_transform_factory(ax.transData, ax.transAxes) |
|---|
| 813 | l = ax.axvline(x, ymin, ymax, color='black', **kwargs) |
|---|
| 814 | t = ax.text(x, ylbl ,label, verticalalignment=valign, |
|---|
| 815 | horizontalalignment='center', |
|---|
| 816 | rotation=rotate,transform = trans) |
|---|
| 817 | self.axes.set_autoscale_on(True) |
|---|
