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