[705] | 1 | """
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| 2 | ASAP plotting class based on matplotlib.
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| 3 | """
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| 4 |
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| 5 | import sys
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| 6 | from re import match
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| 7 |
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| 8 | import matplotlib
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| 9 |
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| 10 | from matplotlib.figure import Figure, Text
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[1147] | 11 | from matplotlib.font_manager import FontProperties as FP
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[705] | 12 | from matplotlib.numerix import sqrt
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| 13 | from matplotlib import rc, rcParams
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[710] | 14 | from asap import rcParams as asaprcParams
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[1259] | 15 | from matplotlib.ticker import OldScalarFormatter
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[1019] | 16 | from matplotlib.ticker import NullLocator
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[1147] | 17 | from matplotlib.transforms import blend_xy_sep_transform
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| 18 |
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[1095] | 19 | if int(matplotlib.__version__.split(".")[1]) < 87:
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| 20 | print "Warning: matplotlib version < 0.87. This might cause errors. Please upgrade."
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[1019] | 21 |
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[1259] | 22 | #class MyFormatter(OldScalarFormatter):
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| 23 | # def __call__(self, x, pos=None):
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| 24 | # last = len(self.locs)-2
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| 25 | # if pos==0:
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| 26 | # return ''
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| 27 | # else: return OldScalarFormatter.__call__(self, x, pos)
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[1019] | 28 |
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[705] | 29 | class asaplotbase:
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| 30 | """
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| 31 | ASAP plotting base class based on matplotlib.
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| 32 | """
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| 33 |
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| 34 | def __init__(self, rows=1, cols=0, title='', size=(8,6), buffering=False):
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[1019] | 35 | """
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| 36 | Create a new instance of the ASAPlot plotting class.
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[705] | 37 |
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[1019] | 38 | If rows < 1 then a separate call to set_panels() is required to define
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| 39 | the panel layout; refer to the doctext for set_panels().
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| 40 | """
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[705] | 41 | self.is_dead = False
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[1019] | 42 | self.figure = Figure(figsize=size, facecolor='#ddddee')
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[705] | 43 | self.canvas = None
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| 44 |
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[1019] | 45 | self.set_title(title)
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| 46 | self.subplots = []
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| 47 | if rows > 0:
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| 48 | self.set_panels(rows, cols)
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[705] | 49 |
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[710] | 50 | # Set matplotlib default colour sequence.
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| 51 | self.colormap = "green red black cyan magenta orange blue purple yellow pink".split()
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[1019] | 52 |
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[710] | 53 | c = asaprcParams['plotter.colours']
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| 54 | if isinstance(c,str) and len(c) > 0:
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| 55 | self.colormap = c.split()
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| 56 |
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| 57 | self.lsalias = {"line": [1,0],
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| 58 | "dashdot": [4,2,1,2],
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| 59 | "dashed" : [4,2,4,2],
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| 60 | "dotted" : [1,2],
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| 61 | "dashdotdot": [4,2,1,2,1,2],
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| 62 | "dashdashdot": [4,2,4,2,1,2]
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| 63 | }
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| 64 |
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| 65 | styles = "line dashed dotted dashdot".split()
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| 66 | c = asaprcParams['plotter.linestyles']
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| 67 | if isinstance(c,str) and len(c) > 0:
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| 68 | styles = c.split()
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| 69 | s = []
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| 70 | for ls in styles:
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| 71 | if self.lsalias.has_key(ls):
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| 72 | s.append(self.lsalias.get(ls))
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| 73 | else:
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| 74 | s.append('-')
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| 75 | self.linestyles = s
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| 76 |
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[705] | 77 | self.color = 0;
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[710] | 78 | self.linestyle = 0;
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[1019] | 79 | self.attributes = {}
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| 80 | self.loc = 0
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[705] | 81 |
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[1019] | 82 | self.buffering = buffering
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[705] | 83 |
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| 84 | def clear(self):
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[1019] | 85 | """
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[1147] | 86 | Delete all lines from the plot. Line numbering will restart from 0.
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[1019] | 87 | """
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[705] | 88 |
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[1019] | 89 | for i in range(len(self.lines)):
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| 90 | self.delete(i)
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| 91 | self.axes.clear()
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| 92 | self.color = 0
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| 93 | self.lines = []
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[705] | 94 |
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[710] | 95 | def palette(self, color, colormap=None, linestyle=0, linestyles=None):
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[705] | 96 | if colormap:
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[710] | 97 | if isinstance(colormap,list):
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| 98 | self.colormap = colormap
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| 99 | elif isinstance(colormap,str):
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| 100 | self.colormap = colormap.split()
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[705] | 101 | if 0 <= color < len(self.colormap):
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| 102 | self.color = color
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[710] | 103 | if linestyles:
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| 104 | self.linestyles = []
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| 105 | if isinstance(linestyles,list):
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| 106 | styles = linestyles
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| 107 | elif isinstance(linestyles,str):
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| 108 | styles = linestyles.split()
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| 109 | for ls in styles:
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| 110 | if self.lsalias.has_key(ls):
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| 111 | self.linestyles.append(self.lsalias.get(ls))
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| 112 | else:
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| 113 | self.linestyles.append(self.lsalias.get('line'))
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| 114 | if 0 <= linestyle < len(self.linestyles):
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| 115 | self.linestyle = linestyle
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[705] | 116 |
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| 117 | def delete(self, numbers=None):
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[1019] | 118 | """
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| 119 | Delete the 0-relative line number, default is to delete the last.
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| 120 | The remaining lines are NOT renumbered.
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| 121 | """
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[705] | 122 |
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[1019] | 123 | if numbers is None: numbers = [len(self.lines)-1]
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[705] | 124 |
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[1019] | 125 | if not hasattr(numbers, '__iter__'):
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| 126 | numbers = [numbers]
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[705] | 127 |
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[1019] | 128 | for number in numbers:
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| 129 | if 0 <= number < len(self.lines):
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| 130 | if self.lines[number] is not None:
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| 131 | for line in self.lines[number]:
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| 132 | line.set_linestyle('None')
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| 133 | self.lines[number] = None
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| 134 | self.show()
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[705] | 135 |
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| 136 | def get_line(self):
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[1019] | 137 | """
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| 138 | Get the current default line attributes.
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| 139 | """
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| 140 | return self.attributes
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[705] | 141 |
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| 142 |
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[1086] | 143 | def hist(self, x=None, y=None, fmt=None, add=None):
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[1019] | 144 | """
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| 145 | Plot a histogram. N.B. the x values refer to the start of the
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| 146 | histogram bin.
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[705] | 147 |
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[1019] | 148 | fmt is the line style as in plot().
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| 149 | """
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[1086] | 150 | from matplotlib.numerix import array
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| 151 | from matplotlib.numerix.ma import MaskedArray
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[1019] | 152 | if x is None:
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| 153 | if y is None: return
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[1023] | 154 | x = range(len(y))
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[705] | 155 |
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[1019] | 156 | if len(x) != len(y):
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| 157 | return
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| 158 | l2 = 2*len(x)
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[1023] | 159 | x2 = range(l2)
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[1086] | 160 | y2 = range(12)
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[1023] | 161 | y2 = range(l2)
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| 162 | m2 = range(l2)
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[1446] | 163 | #ymsk = y.raw_mask()
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| 164 | #ydat = y.raw_data()
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| 165 | ymsk = y.mask
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| 166 | ydat = y.data
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[1023] | 167 | for i in range(l2):
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[1019] | 168 | x2[i] = x[i/2]
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[1086] | 169 | m2[i] = ymsk[i/2]
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[705] | 170 |
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[1023] | 171 | y2[0] = 0.0
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[1019] | 172 | for i in range(1,l2):
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[1086] | 173 | y2[i] = ydat[(i-1)/2]
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[705] | 174 |
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[1086] | 175 | self.plot(x2, MaskedArray(y2,mask=m2,copy=0), fmt, add)
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[705] | 176 |
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| 177 |
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| 178 | def hold(self, hold=True):
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[1019] | 179 | """
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| 180 | Buffer graphics until subsequently released.
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| 181 | """
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| 182 | self.buffering = hold
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[705] | 183 |
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| 184 |
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| 185 | def legend(self, loc=None):
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[1019] | 186 | """
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| 187 | Add a legend to the plot.
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[705] | 188 |
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[1019] | 189 | Any other value for loc else disables the legend:
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| 190 | 1: upper right
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| 191 | 2: upper left
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| 192 | 3: lower left
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| 193 | 4: lower right
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| 194 | 5: right
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| 195 | 6: center left
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| 196 | 7: center right
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| 197 | 8: lower center
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| 198 | 9: upper center
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| 199 | 10: center
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[705] | 200 |
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[1019] | 201 | """
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[1095] | 202 | if isinstance(loc, int):
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[1098] | 203 | self.loc = None
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| 204 | if 0 <= loc <= 10: self.loc = loc
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[1095] | 205 | else:
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| 206 | self.loc = None
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| 207 | #self.show()
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[705] | 208 |
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| 209 |
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[1086] | 210 | def plot(self, x=None, y=None, fmt=None, add=None):
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[1019] | 211 | """
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| 212 | Plot the next line in the current frame using the current line
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| 213 | attributes. The ASAPlot graphics window will be mapped and raised.
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[705] | 214 |
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[1019] | 215 | The argument list works a bit like the matlab plot() function.
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| 216 | """
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| 217 | if x is None:
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| 218 | if y is None: return
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| 219 | x = range(len(y))
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[705] | 220 |
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[1019] | 221 | elif y is None:
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| 222 | y = x
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| 223 | x = range(len(y))
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[1086] | 224 | if fmt is None:
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| 225 | line = self.axes.plot(x, y)
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[1019] | 226 | else:
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[1086] | 227 | line = self.axes.plot(x, y, fmt)
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[705] | 228 |
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[1019] | 229 | # Add to an existing line?
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[1086] | 230 | i = None
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[1019] | 231 | if add is None or len(self.lines) < add < 0:
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| 232 | # Don't add.
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| 233 | self.lines.append(line)
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| 234 | i = len(self.lines) - 1
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| 235 | else:
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| 236 | if add == 0: add = len(self.lines)
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| 237 | i = add - 1
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| 238 | self.lines[i].extend(line)
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[705] | 239 |
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[1019] | 240 | # Set/reset attributes for the line.
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| 241 | gotcolour = False
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| 242 | for k, v in self.attributes.iteritems():
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| 243 | if k == 'color': gotcolour = True
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| 244 | for segment in self.lines[i]:
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| 245 | getattr(segment, "set_%s"%k)(v)
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[705] | 246 |
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[1019] | 247 | if not gotcolour and len(self.colormap):
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| 248 | for segment in self.lines[i]:
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| 249 | getattr(segment, "set_color")(self.colormap[self.color])
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[710] | 250 | if len(self.colormap) == 1:
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| 251 | getattr(segment, "set_dashes")(self.linestyles[self.linestyle])
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[1086] | 252 |
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[1019] | 253 | self.color += 1
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| 254 | if self.color >= len(self.colormap):
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| 255 | self.color = 0
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[705] | 256 |
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[710] | 257 | if len(self.colormap) == 1:
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| 258 | self.linestyle += 1
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[1019] | 259 | if self.linestyle >= len(self.linestyles):
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| 260 | self.linestyle = 0
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[710] | 261 |
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[1019] | 262 | self.show()
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[705] | 263 |
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| 264 |
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| 265 | def position(self):
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[1019] | 266 | """
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| 267 | Use the mouse to get a position from a graph.
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| 268 | """
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[705] | 269 |
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[1019] | 270 | def position_disable(event):
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| 271 | self.register('button_press', None)
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| 272 | print '%.4f, %.4f' % (event.xdata, event.ydata)
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[705] | 273 |
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[1019] | 274 | print 'Press any mouse button...'
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| 275 | self.register('button_press', position_disable)
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[705] | 276 |
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| 277 |
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| 278 | def region(self):
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[1019] | 279 | """
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| 280 | Use the mouse to get a rectangular region from a plot.
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[705] | 281 |
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[1019] | 282 | The return value is [x0, y0, x1, y1] in world coordinates.
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| 283 | """
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[705] | 284 |
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[1019] | 285 | def region_start(event):
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| 286 | height = self.canvas.figure.bbox.height()
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| 287 | self.rect = {'fig': None, 'height': height,
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| 288 | 'x': event.x, 'y': height - event.y,
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| 289 | 'world': [event.xdata, event.ydata,
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| 290 | event.xdata, event.ydata]}
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| 291 | self.register('button_press', None)
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| 292 | self.register('motion_notify', region_draw)
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| 293 | self.register('button_release', region_disable)
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[705] | 294 |
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[1019] | 295 | def region_draw(event):
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| 296 | self.canvas._tkcanvas.delete(self.rect['fig'])
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| 297 | self.rect['fig'] = self.canvas._tkcanvas.create_rectangle(
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| 298 | self.rect['x'], self.rect['y'],
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| 299 | event.x, self.rect['height'] - event.y)
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[705] | 300 |
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[1019] | 301 | def region_disable(event):
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| 302 | self.register('motion_notify', None)
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| 303 | self.register('button_release', None)
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[705] | 304 |
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[1019] | 305 | self.canvas._tkcanvas.delete(self.rect['fig'])
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[705] | 306 |
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[1019] | 307 | self.rect['world'][2:4] = [event.xdata, event.ydata]
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| 308 | print '(%.2f, %.2f) (%.2f, %.2f)' % (self.rect['world'][0],
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| 309 | self.rect['world'][1], self.rect['world'][2],
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| 310 | self.rect['world'][3])
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[705] | 311 |
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[1019] | 312 | self.register('button_press', region_start)
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[705] | 313 |
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[1019] | 314 | # This has to be modified to block and return the result (currently
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| 315 | # printed by region_disable) when that becomes possible in matplotlib.
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[705] | 316 |
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[1019] | 317 | return [0.0, 0.0, 0.0, 0.0]
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[705] | 318 |
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| 319 |
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| 320 | def register(self, type=None, func=None):
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[1019] | 321 | """
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| 322 | Register, reregister, or deregister events of type 'button_press',
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| 323 | 'button_release', or 'motion_notify'.
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[705] | 324 |
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[1019] | 325 | The specified callback function should have the following signature:
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[705] | 326 |
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[1019] | 327 | def func(event)
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[705] | 328 |
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[1019] | 329 | where event is an MplEvent instance containing the following data:
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[705] | 330 |
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[1019] | 331 | name # Event name.
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| 332 | canvas # FigureCanvas instance generating the event.
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| 333 | x = None # x position - pixels from left of canvas.
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| 334 | y = None # y position - pixels from bottom of canvas.
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| 335 | button = None # Button pressed: None, 1, 2, 3.
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| 336 | key = None # Key pressed: None, chr(range(255)), shift,
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| 337 | win, or control
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| 338 | inaxes = None # Axes instance if cursor within axes.
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| 339 | xdata = None # x world coordinate.
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| 340 | ydata = None # y world coordinate.
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[705] | 341 |
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[1019] | 342 | For example:
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[705] | 343 |
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[1019] | 344 | def mouse_move(event):
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| 345 | print event.xdata, event.ydata
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[705] | 346 |
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[1019] | 347 | a = asaplot()
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| 348 | a.register('motion_notify', mouse_move)
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[705] | 349 |
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[1019] | 350 | If func is None, the event is deregistered.
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[705] | 351 |
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[1019] | 352 | Note that in TkAgg keyboard button presses don't generate an event.
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| 353 | """
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[705] | 354 |
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[1019] | 355 | if not self.events.has_key(type): return
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[705] | 356 |
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[1019] | 357 | if func is None:
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| 358 | if self.events[type] is not None:
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| 359 | # It's not clear that this does anything.
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| 360 | self.canvas.mpl_disconnect(self.events[type])
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| 361 | self.events[type] = None
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[705] | 362 |
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[1019] | 363 | # It seems to be necessary to return events to the toolbar.
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| 364 | if type == 'motion_notify':
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| 365 | self.canvas.mpl_connect(type + '_event',
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| 366 | self.figmgr.toolbar.mouse_move)
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| 367 | elif type == 'button_press':
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| 368 | self.canvas.mpl_connect(type + '_event',
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| 369 | self.figmgr.toolbar.press)
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| 370 | elif type == 'button_release':
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| 371 | self.canvas.mpl_connect(type + '_event',
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| 372 | self.figmgr.toolbar.release)
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[705] | 373 |
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[1019] | 374 | else:
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| 375 | self.events[type] = self.canvas.mpl_connect(type + '_event', func)
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[705] | 376 |
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| 377 |
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| 378 | def release(self):
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[1019] | 379 | """
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| 380 | Release buffered graphics.
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| 381 | """
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| 382 | self.buffering = False
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| 383 | self.show()
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[705] | 384 |
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| 385 |
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[1095] | 386 | def save(self, fname=None, orientation=None, dpi=None, papertype=None):
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[1019] | 387 | """
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| 388 | Save the plot to a file.
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[705] | 389 |
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[1019] | 390 | fname is the name of the output file. The image format is determined
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| 391 | from the file suffix; 'png', 'ps', and 'eps' are recognized. If no
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| 392 | file name is specified 'yyyymmdd_hhmmss.png' is created in the current
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| 393 | directory.
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| 394 | """
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[1095] | 395 | from asap import rcParams
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| 396 | if papertype is None:
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| 397 | papertype = rcParams['plotter.papertype']
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[1019] | 398 | if fname is None:
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| 399 | from datetime import datetime
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| 400 | dstr = datetime.now().strftime('%Y%m%d_%H%M%S')
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| 401 | fname = 'asap'+dstr+'.png'
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[705] | 402 |
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[1019] | 403 | d = ['png','.ps','eps']
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[705] | 404 |
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[1019] | 405 | from os.path import expandvars
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| 406 | fname = expandvars(fname)
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[705] | 407 |
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[1019] | 408 | if fname[-3:].lower() in d:
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| 409 | try:
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[705] | 410 | if fname[-3:].lower() == ".ps":
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[1020] | 411 | from matplotlib import __version__ as mv
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[705] | 412 | w = self.figure.figwidth.get()
|
---|
[1019] | 413 | h = self.figure.figheight.get()
|
---|
| 414 |
|
---|
[705] | 415 | if orientation is None:
|
---|
[1147] | 416 | # oriented
|
---|
[705] | 417 | if w > h:
|
---|
| 418 | orientation = 'landscape'
|
---|
| 419 | else:
|
---|
| 420 | orientation = 'portrait'
|
---|
[1095] | 421 | from matplotlib.backends.backend_ps import papersize
|
---|
| 422 | pw,ph = papersize[papertype.lower()]
|
---|
[1025] | 423 | ds = None
|
---|
| 424 | if orientation == 'landscape':
|
---|
[1095] | 425 | ds = min(ph/w, pw/h)
|
---|
[1025] | 426 | else:
|
---|
[1095] | 427 | ds = min(pw/w, ph/h)
|
---|
[1025] | 428 | ow = ds * w
|
---|
| 429 | oh = ds * h
|
---|
[1095] | 430 | self.figure.set_figsize_inches((ow, oh))
|
---|
| 431 | self.figure.savefig(fname, orientation=orientation,
|
---|
| 432 | papertype=papertype.lower())
|
---|
| 433 | self.figure.set_figsize_inches((w, h))
|
---|
[705] | 434 | print 'Written file %s' % (fname)
|
---|
[1019] | 435 | else:
|
---|
[705] | 436 | if dpi is None:
|
---|
| 437 | dpi =150
|
---|
[1025] | 438 | self.figure.savefig(fname,dpi=dpi)
|
---|
[705] | 439 | print 'Written file %s' % (fname)
|
---|
[1019] | 440 | except IOError, msg:
|
---|
| 441 | print 'Failed to save %s: Error msg was\n\n%s' % (fname, err)
|
---|
| 442 | return
|
---|
| 443 | else:
|
---|
| 444 | print "Invalid image type. Valid types are:"
|
---|
| 445 | print "'ps', 'eps', 'png'"
|
---|
[705] | 446 |
|
---|
| 447 |
|
---|
| 448 | def set_axes(self, what=None, *args, **kwargs):
|
---|
[1019] | 449 | """
|
---|
| 450 | Set attributes for the axes by calling the relevant Axes.set_*()
|
---|
| 451 | method. Colour translation is done as described in the doctext
|
---|
| 452 | for palette().
|
---|
| 453 | """
|
---|
[705] | 454 |
|
---|
[1019] | 455 | if what is None: return
|
---|
| 456 | if what[-6:] == 'colour': what = what[:-6] + 'color'
|
---|
[705] | 457 |
|
---|
[1153] | 458 | key = "colour"
|
---|
| 459 | if kwargs.has_key(key):
|
---|
| 460 | val = kwargs.pop(key)
|
---|
| 461 | kwargs["color"] = val
|
---|
[705] | 462 |
|
---|
[1153] | 463 | getattr(self.axes, "set_%s"%what)(*args, **kwargs)
|
---|
[705] | 464 |
|
---|
[1153] | 465 | self.show(hardrefresh=False)
|
---|
[705] | 466 |
|
---|
[1019] | 467 |
|
---|
[705] | 468 | def set_figure(self, what=None, *args, **kwargs):
|
---|
[1019] | 469 | """
|
---|
| 470 | Set attributes for the figure by calling the relevant Figure.set_*()
|
---|
| 471 | method. Colour translation is done as described in the doctext
|
---|
| 472 | for palette().
|
---|
| 473 | """
|
---|
[705] | 474 |
|
---|
[1019] | 475 | if what is None: return
|
---|
| 476 | if what[-6:] == 'colour': what = what[:-6] + 'color'
|
---|
| 477 | #if what[-5:] == 'color' and len(args):
|
---|
| 478 | # args = (get_colour(args[0]),)
|
---|
[705] | 479 |
|
---|
[1019] | 480 | newargs = {}
|
---|
| 481 | for k, v in kwargs.iteritems():
|
---|
| 482 | k = k.lower()
|
---|
| 483 | if k == 'colour': k = 'color'
|
---|
| 484 | newargs[k] = v
|
---|
[705] | 485 |
|
---|
[1019] | 486 | getattr(self.figure, "set_%s"%what)(*args, **newargs)
|
---|
[1153] | 487 | self.show(hardrefresh=False)
|
---|
[705] | 488 |
|
---|
| 489 |
|
---|
| 490 | def set_limits(self, xlim=None, ylim=None):
|
---|
[1019] | 491 | """
|
---|
| 492 | Set x-, and y-limits for each subplot.
|
---|
[705] | 493 |
|
---|
[1019] | 494 | xlim = [xmin, xmax] as in axes.set_xlim().
|
---|
| 495 | ylim = [ymin, ymax] as in axes.set_ylim().
|
---|
| 496 | """
|
---|
| 497 | for s in self.subplots:
|
---|
| 498 | self.axes = s['axes']
|
---|
| 499 | self.lines = s['lines']
|
---|
[705] | 500 | oldxlim = list(self.axes.get_xlim())
|
---|
| 501 | oldylim = list(self.axes.get_ylim())
|
---|
| 502 | if xlim is not None:
|
---|
| 503 | for i in range(len(xlim)):
|
---|
| 504 | if xlim[i] is not None:
|
---|
| 505 | oldxlim[i] = xlim[i]
|
---|
[1019] | 506 | if ylim is not None:
|
---|
[705] | 507 | for i in range(len(ylim)):
|
---|
| 508 | if ylim[i] is not None:
|
---|
| 509 | oldylim[i] = ylim[i]
|
---|
| 510 | self.axes.set_xlim(oldxlim)
|
---|
| 511 | self.axes.set_ylim(oldylim)
|
---|
| 512 | return
|
---|
| 513 |
|
---|
| 514 |
|
---|
| 515 | def set_line(self, number=None, **kwargs):
|
---|
[1019] | 516 | """
|
---|
| 517 | Set attributes for the specified line, or else the next line(s)
|
---|
| 518 | to be plotted.
|
---|
[705] | 519 |
|
---|
[1019] | 520 | number is the 0-relative number of a line that has already been
|
---|
| 521 | plotted. If no such line exists, attributes are recorded and used
|
---|
| 522 | for the next line(s) to be plotted.
|
---|
[705] | 523 |
|
---|
[1019] | 524 | Keyword arguments specify Line2D attributes, e.g. color='r'. Do
|
---|
[705] | 525 |
|
---|
[1019] | 526 | import matplotlib
|
---|
| 527 | help(matplotlib.lines)
|
---|
[705] | 528 |
|
---|
[1019] | 529 | The set_* methods of class Line2D define the attribute names and
|
---|
| 530 | values. For non-US usage, "colour" is recognized as synonymous with
|
---|
| 531 | "color".
|
---|
[705] | 532 |
|
---|
[1019] | 533 | Set the value to None to delete an attribute.
|
---|
[705] | 534 |
|
---|
[1019] | 535 | Colour translation is done as described in the doctext for palette().
|
---|
| 536 | """
|
---|
[705] | 537 |
|
---|
[1019] | 538 | redraw = False
|
---|
| 539 | for k, v in kwargs.iteritems():
|
---|
| 540 | k = k.lower()
|
---|
| 541 | if k == 'colour': k = 'color'
|
---|
[705] | 542 |
|
---|
[1019] | 543 | if 0 <= number < len(self.lines):
|
---|
| 544 | if self.lines[number] is not None:
|
---|
| 545 | for line in self.lines[number]:
|
---|
| 546 | getattr(line, "set_%s"%k)(v)
|
---|
| 547 | redraw = True
|
---|
| 548 | else:
|
---|
| 549 | if v is None:
|
---|
| 550 | del self.attributes[k]
|
---|
| 551 | else:
|
---|
| 552 | self.attributes[k] = v
|
---|
[705] | 553 |
|
---|
[1153] | 554 | if redraw: self.show(hardrefresh=False)
|
---|
[705] | 555 |
|
---|
| 556 |
|
---|
| 557 | def set_panels(self, rows=1, cols=0, n=-1, nplots=-1, ganged=True):
|
---|
[1019] | 558 | """
|
---|
| 559 | Set the panel layout.
|
---|
[705] | 560 |
|
---|
[1019] | 561 | rows and cols, if cols != 0, specify the number of rows and columns in
|
---|
| 562 | a regular layout. (Indexing of these panels in matplotlib is row-
|
---|
| 563 | major, i.e. column varies fastest.)
|
---|
[705] | 564 |
|
---|
[1019] | 565 | cols == 0 is interpreted as a retangular layout that accomodates
|
---|
| 566 | 'rows' panels, e.g. rows == 6, cols == 0 is equivalent to
|
---|
| 567 | rows == 2, cols == 3.
|
---|
[705] | 568 |
|
---|
[1019] | 569 | 0 <= n < rows*cols is interpreted as the 0-relative panel number in
|
---|
| 570 | the configuration specified by rows and cols to be added to the
|
---|
| 571 | current figure as its next 0-relative panel number (i). This allows
|
---|
| 572 | non-regular panel layouts to be constructed via multiple calls. Any
|
---|
| 573 | other value of n clears the plot and produces a rectangular array of
|
---|
| 574 | empty panels. The number of these may be limited by nplots.
|
---|
| 575 | """
|
---|
| 576 | if n < 0 and len(self.subplots):
|
---|
| 577 | self.figure.clear()
|
---|
| 578 | self.set_title()
|
---|
[705] | 579 |
|
---|
[1019] | 580 | if rows < 1: rows = 1
|
---|
[705] | 581 |
|
---|
[1019] | 582 | if cols <= 0:
|
---|
| 583 | i = int(sqrt(rows))
|
---|
| 584 | if i*i < rows: i += 1
|
---|
| 585 | cols = i
|
---|
[705] | 586 |
|
---|
[1019] | 587 | if i*(i-1) >= rows: i -= 1
|
---|
| 588 | rows = i
|
---|
[705] | 589 |
|
---|
[1019] | 590 | if 0 <= n < rows*cols:
|
---|
| 591 | i = len(self.subplots)
|
---|
| 592 | self.subplots.append({})
|
---|
[705] | 593 |
|
---|
[1019] | 594 | self.subplots[i]['axes'] = self.figure.add_subplot(rows,
|
---|
| 595 | cols, n+1)
|
---|
| 596 | self.subplots[i]['lines'] = []
|
---|
[705] | 597 |
|
---|
[1019] | 598 | if i == 0: self.subplot(0)
|
---|
[705] | 599 |
|
---|
[1019] | 600 | self.rows = 0
|
---|
| 601 | self.cols = 0
|
---|
[705] | 602 |
|
---|
[1019] | 603 | else:
|
---|
| 604 | self.subplots = []
|
---|
[705] | 605 |
|
---|
[1019] | 606 | if nplots < 1 or rows*cols < nplots:
|
---|
| 607 | nplots = rows*cols
|
---|
[1025] | 608 | if ganged:
|
---|
| 609 | hsp,wsp = None,None
|
---|
| 610 | if rows > 1: hsp = 0.0001
|
---|
| 611 | if cols > 1: wsp = 0.0001
|
---|
| 612 | self.figure.subplots_adjust(wspace=wsp,hspace=hsp)
|
---|
[1019] | 613 | for i in range(nplots):
|
---|
| 614 | self.subplots.append({})
|
---|
[1153] | 615 | self.subplots[i]['lines'] = []
|
---|
| 616 | if not ganged:
|
---|
| 617 | self.subplots[i]['axes'] = self.figure.add_subplot(rows,
|
---|
[1019] | 618 | cols, i+1)
|
---|
[1259] | 619 | self.subplots[i]['axes'].xaxis.set_major_formatter(OldScalarFormatter())
|
---|
[1153] | 620 | else:
|
---|
| 621 | if i == 0:
|
---|
| 622 | self.subplots[i]['axes'] = self.figure.add_subplot(rows,
|
---|
| 623 | cols, i+1)
|
---|
[1259] | 624 | self.subplots[i]['axes'].xaxis.set_major_formatter(OldScalarFormatter())
|
---|
[1153] | 625 | else:
|
---|
| 626 | self.subplots[i]['axes'] = self.figure.add_subplot(rows,
|
---|
| 627 | cols, i+1,
|
---|
| 628 | sharex=self.subplots[0]['axes'],
|
---|
| 629 | sharey=self.subplots[0]['axes'])
|
---|
[1259] | 630 |
|
---|
[705] | 631 | # Suppress tick labelling for interior subplots.
|
---|
| 632 | if i <= (rows-1)*cols - 1:
|
---|
| 633 | if i+cols < nplots:
|
---|
| 634 | # Suppress x-labels for frames width
|
---|
| 635 | # adjacent frames
|
---|
[1153] | 636 | for tick in self.subplots[i]['axes'].xaxis.majorTicks:
|
---|
| 637 | tick.label1On = False
|
---|
[1019] | 638 | self.subplots[i]['axes'].xaxis.label.set_visible(False)
|
---|
[705] | 639 | if i%cols:
|
---|
| 640 | # Suppress y-labels for frames not in the left column.
|
---|
| 641 | for tick in self.subplots[i]['axes'].yaxis.majorTicks:
|
---|
| 642 | tick.label1On = False
|
---|
| 643 | self.subplots[i]['axes'].yaxis.label.set_visible(False)
|
---|
[1025] | 644 | # disable the first tick of [1:ncol-1] of the last row
|
---|
[1153] | 645 | #if i+1 < nplots:
|
---|
| 646 | # self.subplots[i]['axes'].xaxis.majorTicks[0].label1On = False
|
---|
[1019] | 647 | self.rows = rows
|
---|
| 648 | self.cols = cols
|
---|
| 649 | self.subplot(0)
|
---|
[705] | 650 |
|
---|
[1153] | 651 | def tidy(self):
|
---|
| 652 | # this needs to be exceuted after the first "refresh"
|
---|
| 653 | nplots = len(self.subplots)
|
---|
| 654 | if nplots == 1: return
|
---|
| 655 | for i in xrange(nplots):
|
---|
| 656 | ax = self.subplots[i]['axes']
|
---|
| 657 | if i%self.cols:
|
---|
| 658 | ax.xaxis.majorTicks[0].label1On = False
|
---|
| 659 | else:
|
---|
| 660 | if i != 0:
|
---|
| 661 | ax.yaxis.majorTicks[-1].label1On = False
|
---|
| 662 |
|
---|
| 663 |
|
---|
[705] | 664 | def set_title(self, title=None):
|
---|
[1019] | 665 | """
|
---|
| 666 | Set the title of the plot window. Use the previous title if title is
|
---|
| 667 | omitted.
|
---|
| 668 | """
|
---|
| 669 | if title is not None:
|
---|
| 670 | self.title = title
|
---|
[705] | 671 |
|
---|
[1019] | 672 | self.figure.text(0.5, 0.95, self.title, horizontalalignment='center')
|
---|
[705] | 673 |
|
---|
| 674 |
|
---|
[1153] | 675 | def show(self, hardrefresh=True):
|
---|
[1019] | 676 | """
|
---|
| 677 | Show graphics dependent on the current buffering state.
|
---|
| 678 | """
|
---|
[1153] | 679 | if not hardrefresh: return
|
---|
[1019] | 680 | if not self.buffering:
|
---|
| 681 | if self.loc is not None:
|
---|
[1086] | 682 | for sp in self.subplots:
|
---|
[1019] | 683 | lines = []
|
---|
| 684 | labels = []
|
---|
| 685 | i = 0
|
---|
[1086] | 686 | for line in sp['lines']:
|
---|
[1019] | 687 | i += 1
|
---|
| 688 | if line is not None:
|
---|
| 689 | lines.append(line[0])
|
---|
| 690 | lbl = line[0].get_label()
|
---|
| 691 | if lbl == '':
|
---|
| 692 | lbl = str(i)
|
---|
| 693 | labels.append(lbl)
|
---|
[705] | 694 |
|
---|
[1019] | 695 | if len(lines):
|
---|
[1147] | 696 | fp = FP(size=rcParams['legend.fontsize'])
|
---|
| 697 | fsz = fp.get_size_in_points() - len(lines)
|
---|
| 698 | fp.set_size(max(fsz,6))
|
---|
[1086] | 699 | sp['axes'].legend(tuple(lines), tuple(labels),
|
---|
[1147] | 700 | self.loc, prop=fp)
|
---|
[1019] | 701 | else:
|
---|
[1086] | 702 | sp['axes'].legend((' '))
|
---|
[705] | 703 |
|
---|
[1086] | 704 | from matplotlib.artist import setp
|
---|
[1147] | 705 | fp = FP(size=rcParams['xtick.labelsize'])
|
---|
| 706 | xts = fp.get_size_in_points()- (self.cols)/2
|
---|
| 707 | fp = FP(size=rcParams['ytick.labelsize'])
|
---|
| 708 | yts = fp.get_size_in_points() - (self.rows)/2
|
---|
[1086] | 709 | for sp in self.subplots:
|
---|
| 710 | ax = sp['axes']
|
---|
[1446] | 711 | s = rcParams['axes.titlesize']
|
---|
| 712 | tsize = s-(self.cols+self.rows-1)
|
---|
| 713 | ax.title.set_size(max(tsize,9))
|
---|
[1147] | 714 | fp = FP(size=rcParams['axes.labelsize'])
|
---|
[1086] | 715 | setp(ax.get_xticklabels(), fontsize=xts)
|
---|
| 716 | setp(ax.get_yticklabels(), fontsize=yts)
|
---|
[1147] | 717 | origx = fp.get_size_in_points()
|
---|
| 718 | origy = origx
|
---|
[1086] | 719 | off = 0
|
---|
| 720 | if self.cols > 1: off = self.cols
|
---|
| 721 | xfsize = origx-off
|
---|
| 722 | ax.xaxis.label.set_size(xfsize)
|
---|
| 723 | off = 0
|
---|
| 724 | if self.rows > 1: off = self.rows
|
---|
| 725 | yfsize = origy-off
|
---|
| 726 | ax.yaxis.label.set_size(yfsize)
|
---|
[705] | 727 |
|
---|
| 728 | def subplot(self, i=None, inc=None):
|
---|
[1019] | 729 | """
|
---|
| 730 | Set the subplot to the 0-relative panel number as defined by one or
|
---|
| 731 | more invokations of set_panels().
|
---|
| 732 | """
|
---|
| 733 | l = len(self.subplots)
|
---|
| 734 | if l:
|
---|
| 735 | if i is not None:
|
---|
| 736 | self.i = i
|
---|
[705] | 737 |
|
---|
[1019] | 738 | if inc is not None:
|
---|
| 739 | self.i += inc
|
---|
[705] | 740 |
|
---|
[1019] | 741 | self.i %= l
|
---|
| 742 | self.axes = self.subplots[self.i]['axes']
|
---|
| 743 | self.lines = self.subplots[self.i]['lines']
|
---|
[705] | 744 |
|
---|
| 745 | def text(self, *args, **kwargs):
|
---|
[1019] | 746 | """
|
---|
| 747 | Add text to the figure.
|
---|
| 748 | """
|
---|
| 749 | self.figure.text(*args, **kwargs)
|
---|
| 750 | self.show()
|
---|
[1147] | 751 |
|
---|
| 752 | def vline_with_label(self, x, y, label,
|
---|
| 753 | location='bottom', rotate=0.0, **kwargs):
|
---|
| 754 | """
|
---|
| 755 | Plot a vertical line with label.
|
---|
| 756 | It takes "world" values fo x and y.
|
---|
| 757 | """
|
---|
| 758 | ax = self.axes
|
---|
| 759 | # need this to suppress autoscaling during this function
|
---|
| 760 | self.axes.set_autoscale_on(False)
|
---|
| 761 | ymin = 0.0
|
---|
| 762 | ymax = 1.0
|
---|
| 763 | valign = 'center'
|
---|
| 764 | if location.lower() == 'top':
|
---|
| 765 | y = max(0.0, y)
|
---|
| 766 | elif location.lower() == 'bottom':
|
---|
| 767 | y = min(0.0, y)
|
---|
| 768 | lbloffset = 0.06
|
---|
| 769 | # a rough estimate for the bb of the text
|
---|
| 770 | if rotate > 0.0: lbloffset = 0.03*len(label)
|
---|
| 771 | peakoffset = 0.01
|
---|
| 772 | xy0 = ax.transData.xy_tup((x,y))
|
---|
| 773 | # get relative coords
|
---|
| 774 | xy = ax.transAxes.inverse_xy_tup(xy0)
|
---|
| 775 | if location.lower() == 'top':
|
---|
| 776 | ymax = 1.0-lbloffset
|
---|
| 777 | ymin = xy[1]+peakoffset
|
---|
| 778 | valign = 'bottom'
|
---|
| 779 | ylbl = ymax+0.01
|
---|
| 780 | elif location.lower() == 'bottom':
|
---|
| 781 | ymin = lbloffset
|
---|
| 782 | ymax = xy[1]-peakoffset
|
---|
| 783 | valign = 'top'
|
---|
| 784 | ylbl = ymin-0.01
|
---|
| 785 | trans = blend_xy_sep_transform(ax.transData, ax.transAxes)
|
---|
| 786 | l = ax.axvline(x, ymin, ymax, color='black', **kwargs)
|
---|
| 787 | t = ax.text(x, ylbl ,label, verticalalignment=valign,
|
---|
| 788 | horizontalalignment='center',
|
---|
| 789 | rotation=rotate,transform = trans)
|
---|
| 790 | self.axes.set_autoscale_on(True)
|
---|