| 1 | """ |
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| 2 | """ |
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| 3 | import logging |
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| 4 | import wx |
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| 5 | # Try a normal import first |
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| 6 | # If it fails, try specifying a version |
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| 7 | import matplotlib |
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| 8 | matplotlib.interactive(False) |
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| 9 | #Use the WxAgg back end. The Wx one takes too long to render |
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| 10 | matplotlib.use('WXAgg') |
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| 11 | from matplotlib.backends.backend_wxagg import FigureCanvasWxAgg |
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| 12 | from matplotlib.figure import Figure |
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| 13 | import os |
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| 14 | import transform |
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| 15 | from plottables import Data1D |
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| 16 | #TODO: make the plottables interactive |
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| 17 | from binder import BindArtist |
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| 18 | from matplotlib.font_manager import FontProperties |
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| 19 | DEBUG = False |
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| 20 | |
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| 21 | from plottables import Graph |
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| 22 | from plottables import Text |
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| 23 | from TextDialog import TextDialog |
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| 24 | from LabelDialog import LabelDialog |
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| 25 | import operator |
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| 26 | |
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| 27 | import math |
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| 28 | import pylab |
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| 29 | DEFAULT_CMAP = pylab.cm.jet |
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| 30 | import copy |
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| 31 | import numpy |
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| 32 | |
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| 33 | |
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| 34 | def show_tree(obj, d=0): |
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| 35 | """Handy function for displaying a tree of graph objects""" |
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| 36 | print "%s%s" % ("-"*d, obj.__class__.__name__) |
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| 37 | if 'get_children' in dir(obj): |
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| 38 | for a in obj.get_children(): show_tree(a, d+1) |
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| 39 | |
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| 40 | from unitConverter import UnitConvertion as convertUnit |
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| 41 | |
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| 42 | |
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| 43 | def _rescale(lo, hi, step, pt=None, bal=None, scale='linear'): |
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| 44 | """ |
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| 45 | Rescale (lo,hi) by step, returning the new (lo,hi) |
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| 46 | The scaling is centered on pt, with positive values of step |
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| 47 | driving lo/hi away from pt and negative values pulling them in. |
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| 48 | If bal is given instead of point, it is already in [0,1] coordinates. |
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| 49 | |
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| 50 | This is a helper function for step-based zooming. |
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| 51 | |
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| 52 | """ |
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| 53 | # Convert values into the correct scale for a linear transformation |
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| 54 | # TODO: use proper scale transformers |
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| 55 | loprev = lo |
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| 56 | hiprev = hi |
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| 57 | if scale == 'log': |
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| 58 | assert lo > 0 |
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| 59 | if lo > 0: |
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| 60 | lo = math.log10(lo) |
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| 61 | if hi > 0: |
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| 62 | hi = math.log10(hi) |
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| 63 | if pt is not None: |
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| 64 | pt = math.log10(pt) |
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| 65 | |
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| 66 | # Compute delta from axis range * %, or 1-% if persent is negative |
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| 67 | if step > 0: |
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| 68 | delta = float(hi - lo) * step / 100 |
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| 69 | else: |
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| 70 | delta = float(hi - lo) * step / (100 - step) |
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| 71 | |
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| 72 | # Add scale factor proportionally to the lo and hi values, |
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| 73 | # preserving the |
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| 74 | # point under the mouse |
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| 75 | if bal is None: |
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| 76 | bal = float(pt - lo) / (hi - lo) |
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| 77 | lo = lo - (bal * delta) |
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| 78 | hi = hi + (1 - bal) * delta |
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| 79 | |
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| 80 | # Convert transformed values back to the original scale |
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| 81 | if scale == 'log': |
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| 82 | if (lo <= -250) or (hi >= 250): |
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| 83 | lo = loprev |
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| 84 | hi = hiprev |
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| 85 | else: |
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| 86 | lo, hi = math.pow(10., lo), math.pow(10., hi) |
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| 87 | return (lo, hi) |
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| 88 | |
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| 89 | |
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| 90 | def CopyImage(canvas): |
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| 91 | """ |
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| 92 | 0: matplotlib plot |
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| 93 | 1: wx.lib.plot |
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| 94 | 2: other |
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| 95 | """ |
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| 96 | bmp = wx.BitmapDataObject() |
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| 97 | bmp.SetBitmap(canvas.bitmap) |
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| 98 | |
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| 99 | wx.TheClipboard.Open() |
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| 100 | wx.TheClipboard.SetData(bmp) |
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| 101 | wx.TheClipboard.Close() |
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| 102 | |
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| 103 | |
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| 104 | class PlotPanel(wx.Panel): |
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| 105 | """ |
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| 106 | The PlotPanel has a Figure and a Canvas. OnSize events simply set a |
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| 107 | flag, and the actually redrawing of the |
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| 108 | figure is triggered by an Idle event. |
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| 109 | |
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| 110 | """ |
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| 111 | def __init__(self, parent, id=-1, xtransform=None, |
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| 112 | ytransform=None, scale='log_{10}', |
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| 113 | color=None, dpi=None, **kwargs): |
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| 114 | """ |
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| 115 | """ |
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| 116 | wx.Panel.__init__(self, parent, id=id, **kwargs) |
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| 117 | self.parent = parent |
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| 118 | if hasattr(parent, "parent"): |
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| 119 | self.parent = self.parent.parent |
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| 120 | self.dimension = 1 |
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| 121 | self.gotLegend = 0 # to begin, legend is not picked. |
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| 122 | self.legend_pos_loc = None |
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| 123 | self.legend = None |
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| 124 | self.line_collections_list = [] |
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| 125 | self.figure = Figure(None, dpi, linewidth=2.0) |
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| 126 | self.color = '#b3b3b3' |
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| 127 | from canvas import FigureCanvas |
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| 128 | self.canvas = FigureCanvas(self, -1, self.figure) |
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| 129 | self.SetColor(color) |
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| 130 | #self.SetBackgroundColour(parent.GetBackgroundColour()) |
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| 131 | self._resizeflag = True |
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| 132 | self._SetSize() |
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| 133 | self.subplot = self.figure.add_subplot(111) |
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| 134 | self.figure.subplots_adjust(left=0.2, bottom=.2) |
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| 135 | self.yscale = 'linear' |
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| 136 | self.xscale = 'linear' |
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| 137 | self.sizer = wx.BoxSizer(wx.VERTICAL) |
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| 138 | self.sizer.Add(self.canvas, 1, wx.EXPAND) |
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| 139 | #add toolbar |
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| 140 | self.enable_toolbar = True |
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| 141 | self.toolbar = None |
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| 142 | self.add_toolbar() |
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| 143 | self.SetSizer(self.sizer) |
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| 144 | |
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| 145 | # Graph object to manage the plottables |
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| 146 | self.graph = Graph() |
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| 147 | |
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| 148 | #Boolean value to keep track of whether current legend is |
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| 149 | #visible or not |
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| 150 | self.legend_on = True |
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| 151 | self.grid_on = False |
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| 152 | #Location of legend, default is 0 or 'best' |
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| 153 | self.legendLoc = 0 |
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| 154 | self.position = None |
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| 155 | self._loc_labels = self.get_loc_label() |
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| 156 | |
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| 157 | self.Bind(wx.EVT_CONTEXT_MENU, self.onContextMenu) |
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| 158 | |
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| 159 | # Define some constants |
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| 160 | self.colorlist = ['b','g','r','c','m','y','k'] |
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| 161 | self.symbollist = ['o','x','^','v','<','>','+', |
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| 162 | 's','d','D','h','H','p', '-'] |
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| 163 | |
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| 164 | #List of texts currently on the plot |
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| 165 | self.textList = [] |
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| 166 | #User scale |
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| 167 | if xtransform != None: |
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| 168 | self.xLabel = xtransform |
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| 169 | else: |
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| 170 | self.xLabel = "log10(x)" |
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| 171 | if ytransform != None: |
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| 172 | self.yLabel = ytransform |
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| 173 | else: |
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| 174 | self.yLabel = "log10(y)" |
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| 175 | self.viewModel = "--" |
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| 176 | # keep track if the previous transformation of x |
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| 177 | # and y in Property dialog |
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| 178 | self.prevXtrans = "log10(x)" |
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| 179 | self.prevYtrans = "log10(y)" |
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| 180 | self.scroll_id = self.canvas.mpl_connect('scroll_event', self.onWheel) |
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| 181 | #taking care of dragging |
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| 182 | self.motion_id = self.canvas.mpl_connect('motion_notify_event', |
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| 183 | self.onMouseMotion) |
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| 184 | self.press_id = self.canvas.mpl_connect('button_press_event', |
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| 185 | self.onLeftDown) |
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| 186 | self.pick_id = self.canvas.mpl_connect('pick_event', self.onPick) |
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| 187 | self.release_id = self.canvas.mpl_connect('button_release_event', |
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| 188 | self.onLeftUp) |
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| 189 | |
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| 190 | wx.EVT_RIGHT_DOWN(self, self.onLeftDown) |
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| 191 | # to turn axis off whenn resizing the panel |
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| 192 | self.resizing = False |
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| 193 | |
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| 194 | self.leftdown = False |
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| 195 | self.leftup = False |
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| 196 | self.mousemotion = False |
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| 197 | self.axes = [self.subplot] |
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| 198 | ## Fit dialog |
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| 199 | self._fit_dialog = None |
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| 200 | # Interactor |
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| 201 | self.connect = BindArtist(self.subplot.figure) |
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| 202 | #self.selected_plottable = None |
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| 203 | |
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| 204 | # new data for the fit |
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| 205 | self.fit_result = Data1D(x=[], y=[], dy=None) |
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| 206 | self.fit_result.symbol = 13 |
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| 207 | #self.fit_result = Data1D(x=[], y=[],dx=None, dy=None) |
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| 208 | self.fit_result.name = "Fit" |
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| 209 | # For fit Dialog initial display |
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| 210 | self.xmin = 0.0 |
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| 211 | self.xmax = 0.0 |
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| 212 | self.xminView = 0.0 |
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| 213 | self.xmaxView = 0.0 |
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| 214 | self._scale_xlo = None |
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| 215 | self._scale_xhi = None |
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| 216 | self._scale_ylo = None |
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| 217 | self._scale_yhi = None |
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| 218 | self.Avalue = None |
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| 219 | self.Bvalue = None |
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| 220 | self.ErrAvalue = None |
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| 221 | self.ErrBvalue = None |
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| 222 | self.Chivalue = None |
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| 223 | |
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| 224 | # for 2D scale |
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| 225 | if scale != 'linear': |
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| 226 | scale = 'log_{10}' |
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| 227 | self.scale = scale |
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| 228 | self.data = None |
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| 229 | self.qx_data = None |
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| 230 | self.qy_data = None |
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| 231 | self.xmin_2D = None |
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| 232 | self.xmax_2D = None |
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| 233 | self.ymin_2D = None |
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| 234 | self.ymax_2D = None |
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| 235 | ## store reference to the current plotted vmin and vmax of plotted image |
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| 236 | ##z range in linear scale |
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| 237 | self.zmin_2D = None |
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| 238 | self.zmax_2D = None |
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| 239 | |
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| 240 | #index array |
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| 241 | self.index_x = None |
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| 242 | self.index_y = None |
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| 243 | |
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| 244 | #number of bins |
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| 245 | self.x_bins = None |
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| 246 | self.y_bins = None |
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| 247 | |
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| 248 | ## default color map |
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| 249 | self.cmap = DEFAULT_CMAP |
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| 250 | |
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| 251 | # Dragging info |
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| 252 | self.begDrag = False |
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| 253 | self.xInit = None |
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| 254 | self.yInit = None |
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| 255 | self.xFinal = None |
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| 256 | self.yFinal = None |
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| 257 | |
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| 258 | #axes properties |
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| 259 | self.xaxis_font = None |
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| 260 | self.xaxis_label = None |
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| 261 | self.xaxis_unit = None |
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| 262 | self.xaxis_color = 'black' |
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| 263 | self.xaxis_tick = None |
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| 264 | self.yaxis_font = None |
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| 265 | self.yaxis_label = None |
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| 266 | self.yaxis_unit = None |
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| 267 | self.yaxis_color = 'black' |
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| 268 | self.yaxis_tick = None |
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| 269 | |
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| 270 | # check if zoomed. |
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| 271 | self.is_zoomed = False |
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| 272 | # Plottables |
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| 273 | self.plots = {} |
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| 274 | |
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| 275 | # Default locations |
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| 276 | self._default_save_location = os.getcwd() |
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| 277 | # let canvas know about axes |
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| 278 | self.canvas.set_panel(self) |
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| 279 | self.ly = None |
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| 280 | self.q_ctrl = None |
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| 281 | #Bind focus to change the border color |
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| 282 | self.canvas.Bind(wx.EVT_SET_FOCUS, self.on_set_focus) |
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| 283 | self.canvas.Bind(wx.EVT_KILL_FOCUS, self.on_kill_focus) |
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| 284 | |
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| 285 | def _SetInitialSize(self,): |
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| 286 | """ |
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| 287 | """ |
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| 288 | pixels = self.parent.GetClientSize() |
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| 289 | self.canvas.SetSize(pixels) |
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| 290 | self.figure.set_size_inches(pixels[0] / self.figure.get_dpi(), |
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| 291 | pixels[1] / self.figure.get_dpi(), forward=True) |
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| 292 | |
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| 293 | def On_Paint(self, event): |
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| 294 | """ |
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| 295 | """ |
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| 296 | self.canvas.SetBackgroundColour(self.color) |
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| 297 | |
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| 298 | def on_set_focus(self, event): |
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| 299 | """ |
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| 300 | Send to the parenet the current panel on focus |
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| 301 | """ |
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| 302 | # light blue |
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| 303 | self.color = '#0099f7' |
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| 304 | self.figure.set_edgecolor(self.color) |
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| 305 | if self.parent and self.window_caption: |
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| 306 | self.parent.send_focus_to_datapanel(self.window_caption) |
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| 307 | self.draw() |
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| 308 | |
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| 309 | def on_kill_focus(self, event): |
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| 310 | """ |
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| 311 | Reset the panel color |
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| 312 | """ |
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| 313 | # light grey |
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| 314 | self.color = '#b3b3b3' |
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| 315 | self.figure.set_edgecolor(self.color) |
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| 316 | self.draw() |
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| 317 | |
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| 318 | def set_resizing(self, resizing=False): |
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| 319 | """ |
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| 320 | Set the resizing (True/False) |
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| 321 | """ |
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| 322 | pass # Not implemented |
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| 323 | |
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| 324 | def schedule_full_draw(self, func='append'): |
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| 325 | """ |
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| 326 | Put self in schedule to full redraw list |
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| 327 | """ |
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| 328 | pass # Not implemented |
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| 329 | |
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| 330 | def add_toolbar(self): |
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| 331 | """ |
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| 332 | add toolbar |
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| 333 | """ |
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| 334 | self.enable_toolbar = True |
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| 335 | from toolbar import NavigationToolBar |
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| 336 | self.toolbar = NavigationToolBar(parent=self, canvas=self.canvas) |
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| 337 | self.toolbar.Realize() |
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| 338 | ## The 'SetToolBar()' is not working on MAC: JHC |
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| 339 | #if IS_MAC: |
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| 340 | # Mac platform (OSX 10.3, MacPython) does not seem to cope with |
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| 341 | # having a toolbar in a sizer. This work-around gets the buttons |
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| 342 | # back, but at the expense of having the toolbar at the top |
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| 343 | #self.SetToolBar(self.toolbar) |
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| 344 | #else: |
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| 345 | # On Windows platform, default window size is incorrect, so set |
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| 346 | # toolbar width to figure width. |
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| 347 | tw, th = self.toolbar.GetSizeTuple() |
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| 348 | fw, fh = self.canvas.GetSizeTuple() |
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| 349 | # By adding toolbar in sizer, we are able to put it at the bottom |
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| 350 | # of the frame - so appearance is closer to GTK version. |
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| 351 | # As noted above, doesn't work for Mac. |
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| 352 | self.toolbar.SetSize(wx.Size(fw, th)) |
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| 353 | self.sizer.Add(self.toolbar, 0, wx.LEFT | wx.EXPAND) |
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| 354 | |
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| 355 | # update the axes menu on the toolbar |
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| 356 | self.toolbar.update() |
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| 357 | |
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| 358 | def onLeftDown(self, event): |
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| 359 | """ |
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| 360 | left button down and ready to drag |
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| 361 | |
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| 362 | """ |
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| 363 | # Check that the LEFT button was pressed |
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| 364 | if event.button == 1: |
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| 365 | self.leftdown = True |
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| 366 | ax = event.inaxes |
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| 367 | if ax != None: |
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| 368 | self.xInit, self.yInit = event.xdata, event.ydata |
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| 369 | try: |
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| 370 | pos_x = float(event.xdata) # / size_x |
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| 371 | pos_y = float(event.ydata) # / size_y |
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| 372 | pos_x = "%8.3g" % pos_x |
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| 373 | pos_y = "%8.3g" % pos_y |
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| 374 | self.position = str(pos_x), str(pos_y) |
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| 375 | wx.PostEvent(self.parent, StatusEvent(status=self.position)) |
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| 376 | except: |
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| 377 | self.position = None |
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| 378 | |
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| 379 | def onLeftUp(self, event): |
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| 380 | """ |
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| 381 | Dragging is done |
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| 382 | """ |
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| 383 | # Check that the LEFT button was released |
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| 384 | if event.button == 1: |
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| 385 | self.leftdown = False |
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| 386 | self.mousemotion = False |
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| 387 | self.leftup = True |
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| 388 | |
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| 389 | #release the legend |
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| 390 | if self.gotLegend == 1: |
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| 391 | self.gotLegend = 0 |
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| 392 | self.set_legend_alpha(1) |
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| 393 | |
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| 394 | def set_legend_alpha(self, alpha=1): |
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| 395 | """ |
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| 396 | Set legend alpha |
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| 397 | """ |
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| 398 | if self.legend != None: |
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| 399 | self.legend.legendPatch.set_alpha(alpha) |
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| 400 | |
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| 401 | def onPick(self, event): |
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| 402 | """ |
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| 403 | On pick legend |
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| 404 | """ |
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| 405 | legend = self.legend |
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| 406 | if event.artist == legend: |
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| 407 | #gets the box of the legend. |
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| 408 | bbox = self.legend.get_window_extent() |
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| 409 | #get mouse coordinates at time of pick. |
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| 410 | self.mouse_x = event.mouseevent.x |
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| 411 | self.mouse_y = event.mouseevent.y |
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| 412 | #get legend coordinates at time of pick. |
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| 413 | self.legend_x = bbox.xmin |
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| 414 | self.legend_y = bbox.ymin |
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| 415 | #indicates we picked up the legend. |
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| 416 | self.gotLegend = 1 |
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| 417 | self.set_legend_alpha(0.5) |
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| 418 | |
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| 419 | def _on_legend_motion(self, event): |
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| 420 | """ |
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| 421 | On legend in motion |
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| 422 | """ |
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| 423 | ax = event.inaxes |
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| 424 | if ax == None: |
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| 425 | return |
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| 426 | # Event occurred inside a plotting area |
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| 427 | lo_x, hi_x = ax.get_xlim() |
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| 428 | lo_y, hi_y = ax.get_ylim() |
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| 429 | # How much the mouse moved. |
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| 430 | x = mouse_diff_x = self.mouse_x - event.x |
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| 431 | y = mouse_diff_y = self.mouse_y - event.y |
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| 432 | # Put back inside |
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| 433 | if x < lo_x: |
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| 434 | x = lo_x |
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| 435 | if x > hi_x: |
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| 436 | x = hi_x |
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| 437 | if y < lo_y: |
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| 438 | y = lo_y |
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| 439 | if y > hi_y: |
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| 440 | y = hi_y |
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| 441 | # Move the legend from its previous location by that same amount |
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| 442 | loc_in_canvas = self.legend_x - mouse_diff_x, \ |
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| 443 | self.legend_y - mouse_diff_y |
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| 444 | # Transform into legend coordinate system |
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| 445 | trans_axes = self.legend.parent.transAxes.inverted() |
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| 446 | loc_in_norm_axes = trans_axes.transform_point(loc_in_canvas) |
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| 447 | self.legend_pos_loc = tuple(loc_in_norm_axes) |
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| 448 | self.legend._loc = self.legend_pos_loc |
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| 449 | self.resizing = True |
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| 450 | self.canvas.set_resizing(self.resizing) |
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| 451 | self.canvas.draw() |
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| 452 | |
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| 453 | def onMouseMotion(self, event): |
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| 454 | """ |
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| 455 | check if the left button is press and the mouse in moving. |
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| 456 | computer delta for x and y coordinates and then calls draghelper |
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| 457 | to perform the drag |
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| 458 | |
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| 459 | """ |
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| 460 | self.cusor_line(event) |
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| 461 | if self.gotLegend == 1: |
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| 462 | self._on_legend_motion(event) |
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| 463 | return |
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| 464 | if self.enable_toolbar: |
|---|
| 465 | #Disable dragging without the toolbar to allow zooming with toolbar |
|---|
| 466 | return |
|---|
| 467 | self.mousemotion = True |
|---|
| 468 | if self.leftdown == True and self.mousemotion == True: |
|---|
| 469 | ax = event.inaxes |
|---|
| 470 | if ax != None: # the dragging is perform inside the figure |
|---|
| 471 | self.xFinal, self.yFinal = event.xdata, event.ydata |
|---|
| 472 | # Check whether this is the first point |
|---|
| 473 | if self.xInit == None: |
|---|
| 474 | self.xInit = self.xFinal |
|---|
| 475 | self.yInit = self.yFinal |
|---|
| 476 | |
|---|
| 477 | xdelta = self.xFinal - self.xInit |
|---|
| 478 | ydelta = self.yFinal - self.yInit |
|---|
| 479 | |
|---|
| 480 | if self.xscale == 'log': |
|---|
| 481 | xdelta = math.log10(self.xFinal) - math.log10(self.xInit) |
|---|
| 482 | if self.yscale == 'log': |
|---|
| 483 | ydelta = math.log10(self.yFinal) - math.log10(self.yInit) |
|---|
| 484 | self._dragHelper(xdelta, ydelta) |
|---|
| 485 | else: # no dragging is perform elsewhere |
|---|
| 486 | self._dragHelper(0, 0) |
|---|
| 487 | |
|---|
| 488 | def cusor_line(self, event): |
|---|
| 489 | """ |
|---|
| 490 | """ |
|---|
| 491 | pass |
|---|
| 492 | |
|---|
| 493 | def _offset_graph(self): |
|---|
| 494 | """ |
|---|
| 495 | Zoom and offset the graph to the last known settings |
|---|
| 496 | """ |
|---|
| 497 | for ax in self.axes: |
|---|
| 498 | if self._scale_xhi is not None and self._scale_xlo is not None: |
|---|
| 499 | ax.set_xlim(self._scale_xlo, self._scale_xhi) |
|---|
| 500 | if self._scale_yhi is not None and self._scale_ylo is not None: |
|---|
| 501 | ax.set_ylim(self._scale_ylo, self._scale_yhi) |
|---|
| 502 | |
|---|
| 503 | def _dragHelper(self, xdelta, ydelta): |
|---|
| 504 | """ |
|---|
| 505 | dragging occurs here |
|---|
| 506 | |
|---|
| 507 | """ |
|---|
| 508 | # Event occurred inside a plotting area |
|---|
| 509 | for ax in self.axes: |
|---|
| 510 | lo, hi = ax.get_xlim() |
|---|
| 511 | #print "x lo %f and x hi %f"%(lo,hi) |
|---|
| 512 | newlo, newhi = lo - xdelta, hi - xdelta |
|---|
| 513 | if self.xscale == 'log': |
|---|
| 514 | if lo > 0: |
|---|
| 515 | newlo = math.log10(lo) - xdelta |
|---|
| 516 | if hi > 0: |
|---|
| 517 | newhi = math.log10(hi) - xdelta |
|---|
| 518 | if self.xscale == 'log': |
|---|
| 519 | self._scale_xlo = math.pow(10, newlo) |
|---|
| 520 | self._scale_xhi = math.pow(10, newhi) |
|---|
| 521 | ax.set_xlim(math.pow(10, newlo), math.pow(10, newhi)) |
|---|
| 522 | else: |
|---|
| 523 | self._scale_xlo = newlo |
|---|
| 524 | self._scale_xhi = newhi |
|---|
| 525 | ax.set_xlim(newlo, newhi) |
|---|
| 526 | #print "new lo %f and new hi %f"%(newlo,newhi) |
|---|
| 527 | |
|---|
| 528 | lo, hi = ax.get_ylim() |
|---|
| 529 | #print "y lo %f and y hi %f"%(lo,hi) |
|---|
| 530 | newlo, newhi = lo - ydelta, hi - ydelta |
|---|
| 531 | if self.yscale == 'log': |
|---|
| 532 | if lo > 0: |
|---|
| 533 | newlo = math.log10(lo) - ydelta |
|---|
| 534 | if hi > 0: |
|---|
| 535 | newhi = math.log10(hi) - ydelta |
|---|
| 536 | #print "new lo %f and new hi %f"%(newlo,newhi) |
|---|
| 537 | if self.yscale == 'log': |
|---|
| 538 | self._scale_ylo = math.pow(10, newlo) |
|---|
| 539 | self._scale_yhi = math.pow(10, newhi) |
|---|
| 540 | ax.set_ylim(math.pow(10, newlo), math.pow(10, newhi)) |
|---|
| 541 | else: |
|---|
| 542 | self._scale_ylo = newlo |
|---|
| 543 | self._scale_yhi = newhi |
|---|
| 544 | ax.set_ylim(newlo, newhi) |
|---|
| 545 | self.canvas.draw_idle() |
|---|
| 546 | |
|---|
| 547 | def resetFitView(self): |
|---|
| 548 | """ |
|---|
| 549 | For fit Dialog initial display |
|---|
| 550 | |
|---|
| 551 | """ |
|---|
| 552 | self.xmin = 0.0 |
|---|
| 553 | self.xmax = 0.0 |
|---|
| 554 | self.xminView = 0.0 |
|---|
| 555 | self.xmaxView = 0.0 |
|---|
| 556 | self._scale_xlo = None |
|---|
| 557 | self._scale_xhi = None |
|---|
| 558 | self._scale_ylo = None |
|---|
| 559 | self._scale_yhi = None |
|---|
| 560 | self.Avalue = None |
|---|
| 561 | self.Bvalue = None |
|---|
| 562 | self.ErrAvalue = None |
|---|
| 563 | self.ErrBvalue = None |
|---|
| 564 | self.Chivalue = None |
|---|
| 565 | |
|---|
| 566 | def onWheel(self, event): |
|---|
| 567 | """ |
|---|
| 568 | Process mouse wheel as zoom events |
|---|
| 569 | |
|---|
| 570 | :param event: Wheel event |
|---|
| 571 | |
|---|
| 572 | """ |
|---|
| 573 | ax = event.inaxes |
|---|
| 574 | step = event.step |
|---|
| 575 | |
|---|
| 576 | if ax != None: |
|---|
| 577 | # Event occurred inside a plotting area |
|---|
| 578 | lo, hi = ax.get_xlim() |
|---|
| 579 | lo, hi = _rescale(lo, hi, step, |
|---|
| 580 | pt=event.xdata, scale=ax.get_xscale()) |
|---|
| 581 | if not self.xscale == 'log' or lo > 0: |
|---|
| 582 | self._scale_xlo = lo |
|---|
| 583 | self._scale_xhi = hi |
|---|
| 584 | ax.set_xlim((lo,hi)) |
|---|
| 585 | |
|---|
| 586 | lo, hi = ax.get_ylim() |
|---|
| 587 | lo, hi = _rescale(lo, hi, step, pt=event.ydata, |
|---|
| 588 | scale=ax.get_yscale()) |
|---|
| 589 | if not self.yscale == 'log' or lo > 0: |
|---|
| 590 | self._scale_ylo = lo |
|---|
| 591 | self._scale_yhi = hi |
|---|
| 592 | ax.set_ylim((lo, hi)) |
|---|
| 593 | else: |
|---|
| 594 | # Check if zoom happens in the axes |
|---|
| 595 | xdata, ydata = None, None |
|---|
| 596 | x, y = event.x, event.y |
|---|
| 597 | |
|---|
| 598 | for ax in self.axes: |
|---|
| 599 | insidex, _ = ax.xaxis.contains(event) |
|---|
| 600 | if insidex: |
|---|
| 601 | xdata, _ = ax.transAxes.inverted().transform_point((x, y)) |
|---|
| 602 | insidey, _ = ax.yaxis.contains(event) |
|---|
| 603 | if insidey: |
|---|
| 604 | _, ydata = ax.transAxes.inverted().transform_point((x, y)) |
|---|
| 605 | if xdata is not None: |
|---|
| 606 | lo, hi = ax.get_xlim() |
|---|
| 607 | lo, hi = _rescale(lo, hi, step, |
|---|
| 608 | bal=xdata, scale=ax.get_xscale()) |
|---|
| 609 | if not self.xscale == 'log' or lo > 0: |
|---|
| 610 | self._scale_xlo = lo |
|---|
| 611 | self._scale_xhi = hi |
|---|
| 612 | ax.set_xlim((lo, hi)) |
|---|
| 613 | if ydata is not None: |
|---|
| 614 | lo, hi = ax.get_ylim() |
|---|
| 615 | lo, hi = _rescale(lo, hi, step, bal=ydata, |
|---|
| 616 | scale=ax.get_yscale()) |
|---|
| 617 | if not self.yscale == 'log' or lo > 0: |
|---|
| 618 | self._scale_ylo = lo |
|---|
| 619 | self._scale_yhi = hi |
|---|
| 620 | ax.set_ylim((lo, hi)) |
|---|
| 621 | self.canvas.draw_idle() |
|---|
| 622 | |
|---|
| 623 | def returnTrans(self): |
|---|
| 624 | """ |
|---|
| 625 | Return values and labels used by Fit Dialog |
|---|
| 626 | """ |
|---|
| 627 | return self.xLabel, self.yLabel, self.Avalue, self.Bvalue,\ |
|---|
| 628 | self.ErrAvalue, self.ErrBvalue, self.Chivalue |
|---|
| 629 | |
|---|
| 630 | def setTrans(self, xtrans, ytrans): |
|---|
| 631 | """ |
|---|
| 632 | |
|---|
| 633 | :param xtrans: set x transformation on Property dialog |
|---|
| 634 | :param ytrans: set y transformation on Property dialog |
|---|
| 635 | |
|---|
| 636 | """ |
|---|
| 637 | self.prevXtrans = xtrans |
|---|
| 638 | self.prevYtrans = ytrans |
|---|
| 639 | |
|---|
| 640 | def onFitting(self, event): |
|---|
| 641 | """ |
|---|
| 642 | when clicking on linear Fit on context menu , display Fitting Dialog |
|---|
| 643 | """ |
|---|
| 644 | list = {} |
|---|
| 645 | menu = event.GetEventObject() |
|---|
| 646 | id = event.GetId() |
|---|
| 647 | self.set_selected_from_menu(menu, id) |
|---|
| 648 | plotlist = self.graph.returnPlottable() |
|---|
| 649 | if self.graph.selected_plottable is not None: |
|---|
| 650 | for item in plotlist: |
|---|
| 651 | if item.id == self.graph.selected_plottable: |
|---|
| 652 | list[item] = plotlist[item] |
|---|
| 653 | else: |
|---|
| 654 | list = plotlist |
|---|
| 655 | from fitDialog import LinearFit |
|---|
| 656 | |
|---|
| 657 | if len(list.keys()) > 0: |
|---|
| 658 | first_item = list.keys()[0] |
|---|
| 659 | dlg = LinearFit(parent=None, plottable=first_item, |
|---|
| 660 | push_data=self.onFitDisplay, |
|---|
| 661 | transform=self.returnTrans, |
|---|
| 662 | title='Linear Fit') |
|---|
| 663 | |
|---|
| 664 | if (self.xmin != 0.0)and (self.xmax != 0.0)\ |
|---|
| 665 | and(self.xminView != 0.0)and (self.xmaxView != 0.0): |
|---|
| 666 | dlg.setFitRange(self.xminView, self.xmaxView, |
|---|
| 667 | self.xmin, self.xmax) |
|---|
| 668 | dlg.ShowModal() |
|---|
| 669 | |
|---|
| 670 | def set_selected_from_menu(self, menu, id): |
|---|
| 671 | """ |
|---|
| 672 | Set selected_plottable from context menu selection |
|---|
| 673 | |
|---|
| 674 | :param menu: context menu item |
|---|
| 675 | :param id: menu item id |
|---|
| 676 | """ |
|---|
| 677 | if len(self.plots) < 1: |
|---|
| 678 | return |
|---|
| 679 | name = menu.GetHelpString(id) |
|---|
| 680 | for plot in self.plots.values(): |
|---|
| 681 | if plot.name == name: |
|---|
| 682 | self.graph.selected_plottable = plot.id |
|---|
| 683 | break |
|---|
| 684 | |
|---|
| 685 | def linear_plottable_fit(self, plot): |
|---|
| 686 | """ |
|---|
| 687 | when clicking on linear Fit on context menu, display Fitting Dialog |
|---|
| 688 | |
|---|
| 689 | :param plot: PlotPanel owning the graph |
|---|
| 690 | |
|---|
| 691 | """ |
|---|
| 692 | from fitDialog import LinearFit |
|---|
| 693 | if self._fit_dialog is not None: |
|---|
| 694 | return |
|---|
| 695 | self._fit_dialog = LinearFit(None, plot, self.onFitDisplay, |
|---|
| 696 | self.returnTrans, -1, 'Linear Fit') |
|---|
| 697 | # Set the zoom area |
|---|
| 698 | if self._scale_xhi is not None and self._scale_xlo is not None: |
|---|
| 699 | self._fit_dialog.set_fit_region(self._scale_xlo, self._scale_xhi) |
|---|
| 700 | # Register the close event |
|---|
| 701 | self._fit_dialog.register_close(self._linear_fit_close) |
|---|
| 702 | # Show a non-model dialog |
|---|
| 703 | self._fit_dialog.Show() |
|---|
| 704 | |
|---|
| 705 | def _linear_fit_close(self): |
|---|
| 706 | """ |
|---|
| 707 | A fit dialog was closed |
|---|
| 708 | """ |
|---|
| 709 | self._fit_dialog = None |
|---|
| 710 | |
|---|
| 711 | def _onProperties(self, event): |
|---|
| 712 | """ |
|---|
| 713 | when clicking on Properties on context menu , |
|---|
| 714 | The Property dialog is displayed |
|---|
| 715 | The user selects a transformation for x or y value and |
|---|
| 716 | a new plot is displayed |
|---|
| 717 | """ |
|---|
| 718 | if self._fit_dialog is not None: |
|---|
| 719 | self._fit_dialog.Destroy() |
|---|
| 720 | self._fit_dialog = None |
|---|
| 721 | list = [] |
|---|
| 722 | list = self.graph.returnPlottable() |
|---|
| 723 | if len(list.keys()) > 0: |
|---|
| 724 | first_item = list.keys()[0] |
|---|
| 725 | if first_item.x != []: |
|---|
| 726 | from PropertyDialog import Properties |
|---|
| 727 | dial = Properties(self, -1, 'Properties') |
|---|
| 728 | dial.setValues(self.prevXtrans, self.prevYtrans, self.viewModel) |
|---|
| 729 | if dial.ShowModal() == wx.ID_OK: |
|---|
| 730 | self.xLabel, self.yLabel, self.viewModel = dial.getValues() |
|---|
| 731 | if self.viewModel == "Linear y vs x": |
|---|
| 732 | self.xLabel = "x" |
|---|
| 733 | self.yLabel = "y" |
|---|
| 734 | self.viewModel = "--" |
|---|
| 735 | dial.setValues(self.xLabel, self.yLabel, self.viewModel) |
|---|
| 736 | if self.viewModel == "Guinier lny vs x^(2)": |
|---|
| 737 | self.xLabel = "x^(2)" |
|---|
| 738 | self.yLabel = "ln(y)" |
|---|
| 739 | self.viewModel = "--" |
|---|
| 740 | dial.setValues(self.xLabel, self.yLabel, self.viewModel) |
|---|
| 741 | if self.viewModel == "XS Guinier ln(y*x) vs x^(2)": |
|---|
| 742 | self.xLabel = "x^(2)" |
|---|
| 743 | self.yLabel = "ln(y*x)" |
|---|
| 744 | self.viewModel = "--" |
|---|
| 745 | dial.setValues(self.xLabel, self.yLabel, self.viewModel) |
|---|
| 746 | if self.viewModel == "Porod y*x^(4) vs x^(4)": |
|---|
| 747 | self.xLabel = "x^(4)" |
|---|
| 748 | self.yLabel = "y*x^(4)" |
|---|
| 749 | self.viewModel = "--" |
|---|
| 750 | dial.setValues(self.xLabel, self.yLabel, self.viewModel) |
|---|
| 751 | self._onEVT_FUNC_PROPERTY() |
|---|
| 752 | dial.Destroy() |
|---|
| 753 | |
|---|
| 754 | def set_yscale(self, scale='linear'): |
|---|
| 755 | """ |
|---|
| 756 | Set the scale on Y-axis |
|---|
| 757 | |
|---|
| 758 | :param scale: the scale of y-axis |
|---|
| 759 | |
|---|
| 760 | """ |
|---|
| 761 | self.subplot.set_yscale(scale, nonposy='clip') |
|---|
| 762 | self.yscale = scale |
|---|
| 763 | |
|---|
| 764 | def get_yscale(self): |
|---|
| 765 | """ |
|---|
| 766 | |
|---|
| 767 | :return: Y-axis scale |
|---|
| 768 | |
|---|
| 769 | """ |
|---|
| 770 | return self.yscale |
|---|
| 771 | |
|---|
| 772 | def set_xscale(self, scale='linear'): |
|---|
| 773 | """ |
|---|
| 774 | Set the scale on x-axis |
|---|
| 775 | |
|---|
| 776 | :param scale: the scale of x-axis |
|---|
| 777 | |
|---|
| 778 | """ |
|---|
| 779 | self.subplot.set_xscale(scale) |
|---|
| 780 | self.xscale = scale |
|---|
| 781 | |
|---|
| 782 | def get_xscale(self): |
|---|
| 783 | """ |
|---|
| 784 | |
|---|
| 785 | :return: x-axis scale |
|---|
| 786 | |
|---|
| 787 | """ |
|---|
| 788 | return self.xscale |
|---|
| 789 | |
|---|
| 790 | def SetColor(self, rgbtuple): |
|---|
| 791 | """ |
|---|
| 792 | Set figure and canvas colours to be the same |
|---|
| 793 | |
|---|
| 794 | """ |
|---|
| 795 | if not rgbtuple: |
|---|
| 796 | rgbtuple = wx.SystemSettings.GetColour(wx.SYS_COLOUR_BTNFACE).Get() |
|---|
| 797 | col = [c/255.0 for c in rgbtuple] |
|---|
| 798 | self.figure.set_facecolor(col) |
|---|
| 799 | self.figure.set_edgecolor(self.color) |
|---|
| 800 | self.canvas.SetBackgroundColour(wx.Colour(*rgbtuple)) |
|---|
| 801 | |
|---|
| 802 | def _onSize(self, event): |
|---|
| 803 | """ |
|---|
| 804 | """ |
|---|
| 805 | self._resizeflag = True |
|---|
| 806 | |
|---|
| 807 | def _onIdle(self, evt): |
|---|
| 808 | """ |
|---|
| 809 | """ |
|---|
| 810 | if self._resizeflag: |
|---|
| 811 | self._resizeflag = False |
|---|
| 812 | self._SetSize() |
|---|
| 813 | self.draw() |
|---|
| 814 | |
|---|
| 815 | def _SetSize(self, pixels=None): |
|---|
| 816 | """ |
|---|
| 817 | This method can be called to force the Plot to be a desired size, |
|---|
| 818 | which defaults to the ClientSize of the panel |
|---|
| 819 | |
|---|
| 820 | """ |
|---|
| 821 | if not pixels: |
|---|
| 822 | pixels = tuple(self.GetClientSize()) |
|---|
| 823 | self.canvas.SetSize(pixels) |
|---|
| 824 | self.figure.set_size_inches(float(pixels[0]) / self.figure.get_dpi(), |
|---|
| 825 | float(pixels[1]) / self.figure.get_dpi()) |
|---|
| 826 | |
|---|
| 827 | def draw(self): |
|---|
| 828 | """ |
|---|
| 829 | Where the actual drawing happens |
|---|
| 830 | |
|---|
| 831 | """ |
|---|
| 832 | self.figure.canvas.draw_idle() |
|---|
| 833 | |
|---|
| 834 | def legend_picker(self, legend, event): |
|---|
| 835 | """ |
|---|
| 836 | Pick up the legend patch |
|---|
| 837 | """ |
|---|
| 838 | return self.legend.legendPatch.contains(event) |
|---|
| 839 | |
|---|
| 840 | def get_loc_label(self): |
|---|
| 841 | """ |
|---|
| 842 | Associates label to a specific legend location |
|---|
| 843 | """ |
|---|
| 844 | _labels = {} |
|---|
| 845 | i = 0 |
|---|
| 846 | _labels['best'] = i |
|---|
| 847 | i += 1 |
|---|
| 848 | _labels['upper right'] = i |
|---|
| 849 | i += 1 |
|---|
| 850 | _labels['upper left'] = i |
|---|
| 851 | i += 1 |
|---|
| 852 | _labels['lower left'] = i |
|---|
| 853 | i += 1 |
|---|
| 854 | _labels['lower right'] = i |
|---|
| 855 | i += 1 |
|---|
| 856 | _labels['right'] = i |
|---|
| 857 | i += 1 |
|---|
| 858 | _labels['center left'] = i |
|---|
| 859 | i += 1 |
|---|
| 860 | _labels['center right'] = i |
|---|
| 861 | i += 1 |
|---|
| 862 | _labels['lower center'] = i |
|---|
| 863 | i += 1 |
|---|
| 864 | _labels['upper center'] = i |
|---|
| 865 | i += 1 |
|---|
| 866 | _labels['center'] = i |
|---|
| 867 | return _labels |
|---|
| 868 | |
|---|
| 869 | def onSaveImage(self, evt): |
|---|
| 870 | """ |
|---|
| 871 | Implement save image |
|---|
| 872 | """ |
|---|
| 873 | self.toolbar.save(evt) |
|---|
| 874 | |
|---|
| 875 | def onContextMenu(self, event): |
|---|
| 876 | """ |
|---|
| 877 | Default context menu for a plot panel |
|---|
| 878 | |
|---|
| 879 | """ |
|---|
| 880 | # Slicer plot popup menu |
|---|
| 881 | id = wx.NewId() |
|---|
| 882 | slicerpop = wx.Menu() |
|---|
| 883 | slicerpop.Append(id, '&Save image', 'Save image as PNG') |
|---|
| 884 | wx.EVT_MENU(self, id, self.onSaveImage) |
|---|
| 885 | |
|---|
| 886 | id = wx.NewId() |
|---|
| 887 | slicerpop.Append(id, '&Printer setup', 'Set image size') |
|---|
| 888 | wx.EVT_MENU(self, id, self.onPrinterSetup) |
|---|
| 889 | |
|---|
| 890 | id = wx.NewId() |
|---|
| 891 | slicerpop.Append(id, '&Printer Preview', 'Set image size') |
|---|
| 892 | wx.EVT_MENU(self, id, self.onPrinterPreview) |
|---|
| 893 | |
|---|
| 894 | id = wx.NewId() |
|---|
| 895 | slicerpop.Append(id, '&Print image', 'Print image ') |
|---|
| 896 | wx.EVT_MENU(self, id, self.onPrint) |
|---|
| 897 | |
|---|
| 898 | id = wx.NewId() |
|---|
| 899 | slicerpop.Append(id, '&Copy', 'Copy to the clipboard') |
|---|
| 900 | wx.EVT_MENU(self, id, self.OnCopyFigureMenu) |
|---|
| 901 | |
|---|
| 902 | #id = wx.NewId() |
|---|
| 903 | #slicerpop.Append(id, '&Load 1D data file') |
|---|
| 904 | #wx.EVT_MENU(self, id, self._onLoad1DData) |
|---|
| 905 | |
|---|
| 906 | id = wx.NewId() |
|---|
| 907 | slicerpop.AppendSeparator() |
|---|
| 908 | slicerpop.Append(id, '&Properties') |
|---|
| 909 | wx.EVT_MENU(self, id, self._onProperties) |
|---|
| 910 | |
|---|
| 911 | id = wx.NewId() |
|---|
| 912 | slicerpop.AppendSeparator() |
|---|
| 913 | slicerpop.Append(id, '&Linear Fit') |
|---|
| 914 | wx.EVT_MENU(self, id, self.onFitting) |
|---|
| 915 | |
|---|
| 916 | id = wx.NewId() |
|---|
| 917 | slicerpop.AppendSeparator() |
|---|
| 918 | slicerpop.Append(id, '&Toggle Legend On/Off', 'Toggle Legend On/Off') |
|---|
| 919 | wx.EVT_MENU(self, id, self.onLegend) |
|---|
| 920 | |
|---|
| 921 | loc_menu = wx.Menu() |
|---|
| 922 | for label in self._loc_labels: |
|---|
| 923 | id = wx.NewId() |
|---|
| 924 | loc_menu.Append(id, str(label), str(label)) |
|---|
| 925 | wx.EVT_MENU(self, id, self.onChangeLegendLoc) |
|---|
| 926 | id = wx.NewId() |
|---|
| 927 | slicerpop.AppendMenu(id, '&Modify Legend Location', loc_menu) |
|---|
| 928 | |
|---|
| 929 | id = wx.NewId() |
|---|
| 930 | slicerpop.Append(id, '&Modify Y Axis Label') |
|---|
| 931 | wx.EVT_MENU(self, id, self._on_yaxis_label) |
|---|
| 932 | id = wx.NewId() |
|---|
| 933 | slicerpop.Append(id, '&Modify X Axis Label') |
|---|
| 934 | wx.EVT_MENU(self, id, self._on_xaxis_label) |
|---|
| 935 | |
|---|
| 936 | try: |
|---|
| 937 | # mouse event |
|---|
| 938 | pos_evt = event.GetPosition() |
|---|
| 939 | pos = self.ScreenToClient(pos_evt) |
|---|
| 940 | except: |
|---|
| 941 | # toolbar event |
|---|
| 942 | pos_x, pos_y = self.toolbar.GetPositionTuple() |
|---|
| 943 | pos = (pos_x, pos_y + 5) |
|---|
| 944 | |
|---|
| 945 | self.PopupMenu(slicerpop, pos) |
|---|
| 946 | |
|---|
| 947 | def onToolContextMenu(self, event): |
|---|
| 948 | """ |
|---|
| 949 | ContextMenu from toolbar |
|---|
| 950 | |
|---|
| 951 | :param event: toolbar event |
|---|
| 952 | """ |
|---|
| 953 | # reset postion |
|---|
| 954 | self.position = None |
|---|
| 955 | if self.graph.selected_plottable != None: |
|---|
| 956 | self.graph.selected_plottable = None |
|---|
| 957 | |
|---|
| 958 | self.onContextMenu(event) |
|---|
| 959 | |
|---|
| 960 | # modified kieranrcampbell ILL june2012 |
|---|
| 961 | def onLegend(self,legOnOff): |
|---|
| 962 | """ |
|---|
| 963 | Toggles whether legend is visible/not visible |
|---|
| 964 | """ |
|---|
| 965 | self.legend_on = legOnOff |
|---|
| 966 | if not self.legend_on: |
|---|
| 967 | for ax in self.axes: |
|---|
| 968 | self.remove_legend(ax) |
|---|
| 969 | else: |
|---|
| 970 | # sort them by labels |
|---|
| 971 | handles, labels = self.subplot.get_legend_handles_labels() |
|---|
| 972 | hl = sorted(zip(handles, labels), |
|---|
| 973 | key=operator.itemgetter(1)) |
|---|
| 974 | handles2, labels2 = zip(*hl) |
|---|
| 975 | self.line_collections_list = handles2 |
|---|
| 976 | self.legend = self.subplot.legend(handles2, labels2, |
|---|
| 977 | prop=FontProperties(size=10), |
|---|
| 978 | loc=self.legendLoc) |
|---|
| 979 | if self.legend != None: |
|---|
| 980 | self.legend.set_picker(self.legend_picker) |
|---|
| 981 | self.legend.set_axes(self.subplot) |
|---|
| 982 | self.legend.set_zorder(20) |
|---|
| 983 | |
|---|
| 984 | self.subplot.figure.canvas.draw_idle() |
|---|
| 985 | |
|---|
| 986 | def onChangeLegendLoc(self, event): |
|---|
| 987 | """ |
|---|
| 988 | Changes legend loc based on user input |
|---|
| 989 | """ |
|---|
| 990 | menu = event.GetEventObject() |
|---|
| 991 | id = event.GetId() |
|---|
| 992 | label = menu.GetLabel(id) |
|---|
| 993 | self.ChangeLegendLoc(label) |
|---|
| 994 | |
|---|
| 995 | def ChangeLegendLoc(self, label): |
|---|
| 996 | """ |
|---|
| 997 | Changes legend loc based on user input |
|---|
| 998 | """ |
|---|
| 999 | self.legendLoc = label |
|---|
| 1000 | self.legend_pos_loc = None |
|---|
| 1001 | # sort them by labels |
|---|
| 1002 | handles, labels = self.subplot.get_legend_handles_labels() |
|---|
| 1003 | hl = sorted(zip(handles, labels), |
|---|
| 1004 | key=operator.itemgetter(1)) |
|---|
| 1005 | handles2, labels2 = zip(*hl) |
|---|
| 1006 | self.line_collections_list = handles2 |
|---|
| 1007 | self.legend = self.subplot.legend(handles2, labels2, |
|---|
| 1008 | prop=FontProperties(size=10), |
|---|
| 1009 | loc=self.legendLoc) |
|---|
| 1010 | if self.legend != None: |
|---|
| 1011 | self.legend.set_picker(self.legend_picker) |
|---|
| 1012 | self.legend.set_axes(self.subplot) |
|---|
| 1013 | self.legend.set_zorder(20) |
|---|
| 1014 | self.subplot.figure.canvas.draw_idle() |
|---|
| 1015 | |
|---|
| 1016 | def remove_legend(self, ax=None): |
|---|
| 1017 | """ |
|---|
| 1018 | Remove legend for ax or the current axes. |
|---|
| 1019 | """ |
|---|
| 1020 | from pylab import gca |
|---|
| 1021 | if ax is None: |
|---|
| 1022 | ax = gca() |
|---|
| 1023 | ax.legend_ = None |
|---|
| 1024 | |
|---|
| 1025 | def _on_addtext(self, event): |
|---|
| 1026 | """ |
|---|
| 1027 | Allows you to add text to the plot |
|---|
| 1028 | """ |
|---|
| 1029 | pos_x = 0 |
|---|
| 1030 | pos_y = 0 |
|---|
| 1031 | if self.position != None: |
|---|
| 1032 | pos_x, pos_y = self.position |
|---|
| 1033 | else: |
|---|
| 1034 | pos_x, pos_y = 0.01, 1.00 |
|---|
| 1035 | |
|---|
| 1036 | textdial = TextDialog(None, -1, 'Add Custom Text') |
|---|
| 1037 | if textdial.ShowModal() == wx.ID_OK: |
|---|
| 1038 | try: |
|---|
| 1039 | FONT = FontProperties() |
|---|
| 1040 | label = textdial.getText() |
|---|
| 1041 | xpos = pos_x |
|---|
| 1042 | ypos = pos_y |
|---|
| 1043 | font = FONT.copy() |
|---|
| 1044 | font.set_size(textdial.getSize()) |
|---|
| 1045 | font.set_family(textdial.getFamily()) |
|---|
| 1046 | font.set_style(textdial.getStyle()) |
|---|
| 1047 | font.set_weight(textdial.getWeight()) |
|---|
| 1048 | colour = textdial.getColor() |
|---|
| 1049 | if len(label) > 0 and xpos > 0 and ypos > 0: |
|---|
| 1050 | new_text = self.subplot.text(str(xpos), str(ypos), label, |
|---|
| 1051 | fontproperties=font, |
|---|
| 1052 | color=colour) |
|---|
| 1053 | self.textList.append(new_text) |
|---|
| 1054 | self.subplot.figure.canvas.draw_idle() |
|---|
| 1055 | except: |
|---|
| 1056 | if self.parent != None: |
|---|
| 1057 | from sas.guiframe.events import StatusEvent |
|---|
| 1058 | msg = "Add Text: Error. Check your property values..." |
|---|
| 1059 | wx.PostEvent(self.parent, StatusEvent(status = msg )) |
|---|
| 1060 | else: |
|---|
| 1061 | raise |
|---|
| 1062 | textdial.Destroy() |
|---|
| 1063 | #Have a pop up box come up for user to type in the |
|---|
| 1064 | #text that they want to add...then create text Plottable |
|---|
| 1065 | #based on this and plot it at user designated coordinates |
|---|
| 1066 | |
|---|
| 1067 | def onGridOnOff(self,gridon_off): |
|---|
| 1068 | """ |
|---|
| 1069 | Allows ON/OFF Grid |
|---|
| 1070 | """ |
|---|
| 1071 | self.grid_on = gridon_off |
|---|
| 1072 | |
|---|
| 1073 | self.subplot.figure.canvas.draw_idle() |
|---|
| 1074 | |
|---|
| 1075 | def _on_xaxis_label(self, event): |
|---|
| 1076 | """ |
|---|
| 1077 | Allows you to add text to the plot |
|---|
| 1078 | """ |
|---|
| 1079 | xaxis_label, xaxis_unit, xaxis_font, xaxis_color,\ |
|---|
| 1080 | is_ok, is_tick = self._on_axis_label(axis='x') |
|---|
| 1081 | if not is_ok: |
|---|
| 1082 | return |
|---|
| 1083 | |
|---|
| 1084 | self.xaxis_label = xaxis_label |
|---|
| 1085 | self.xaxis_unit = xaxis_unit |
|---|
| 1086 | self.xaxis_font = xaxis_font |
|---|
| 1087 | self.xaxis_color = xaxis_color |
|---|
| 1088 | if is_tick: |
|---|
| 1089 | self.xaxis_tick = xaxis_font |
|---|
| 1090 | |
|---|
| 1091 | if self.data != None: |
|---|
| 1092 | # 2D |
|---|
| 1093 | self.xaxis(self.xaxis_label, self.xaxis_unit,\ |
|---|
| 1094 | self.xaxis_font, self.xaxis_color, self.xaxis_tick) |
|---|
| 1095 | self.subplot.figure.canvas.draw_idle() |
|---|
| 1096 | else: |
|---|
| 1097 | # 1D |
|---|
| 1098 | self._check_zoom_plot() |
|---|
| 1099 | |
|---|
| 1100 | def _check_zoom_plot(self): |
|---|
| 1101 | """ |
|---|
| 1102 | Check the zoom range and plot (1D only) |
|---|
| 1103 | """ |
|---|
| 1104 | xlo, xhi = self.subplot.get_xlim() |
|---|
| 1105 | ylo, yhi = self.subplot.get_ylim() |
|---|
| 1106 | ## Set the view scale for all plots |
|---|
| 1107 | self._onEVT_FUNC_PROPERTY(False) |
|---|
| 1108 | if self.is_zoomed: |
|---|
| 1109 | # Recover the x,y limits |
|---|
| 1110 | self.subplot.set_xlim((xlo, xhi)) |
|---|
| 1111 | self.subplot.set_ylim((ylo, yhi)) |
|---|
| 1112 | |
|---|
| 1113 | @property |
|---|
| 1114 | def is_zoomed(self): |
|---|
| 1115 | toolbar_zoomed = self.toolbar.GetToolEnabled(self.toolbar.wx_ids['Back']) |
|---|
| 1116 | return self._is_zoomed or toolbar_zoomed |
|---|
| 1117 | |
|---|
| 1118 | @is_zoomed.setter |
|---|
| 1119 | def is_zoomed(self, value): |
|---|
| 1120 | self._is_zoomed = value |
|---|
| 1121 | |
|---|
| 1122 | def _on_yaxis_label(self, event): |
|---|
| 1123 | """ |
|---|
| 1124 | Allows you to add text to the plot |
|---|
| 1125 | """ |
|---|
| 1126 | yaxis_label, yaxis_unit, yaxis_font, yaxis_color,\ |
|---|
| 1127 | is_ok, is_tick = self._on_axis_label(axis='y') |
|---|
| 1128 | if not is_ok: |
|---|
| 1129 | return |
|---|
| 1130 | |
|---|
| 1131 | self.yaxis_label = yaxis_label |
|---|
| 1132 | self.yaxis_unit = yaxis_unit |
|---|
| 1133 | self.yaxis_font = yaxis_font |
|---|
| 1134 | self.yaxis_color = yaxis_color |
|---|
| 1135 | if is_tick: |
|---|
| 1136 | self.yaxis_tick = yaxis_font |
|---|
| 1137 | |
|---|
| 1138 | if self.data != None: |
|---|
| 1139 | # 2D |
|---|
| 1140 | self.yaxis(self.yaxis_label, self.yaxis_unit,\ |
|---|
| 1141 | self.yaxis_font, self.yaxis_color, self.yaxis_tick) |
|---|
| 1142 | self.subplot.figure.canvas.draw_idle() |
|---|
| 1143 | else: |
|---|
| 1144 | # 1D |
|---|
| 1145 | self._check_zoom_plot() |
|---|
| 1146 | |
|---|
| 1147 | def _on_axis_label(self, axis='x'): |
|---|
| 1148 | """ |
|---|
| 1149 | Modify axes labels |
|---|
| 1150 | |
|---|
| 1151 | :param axis: x or y axis [string] |
|---|
| 1152 | """ |
|---|
| 1153 | is_ok = True |
|---|
| 1154 | title = 'Modify %s axis label' % axis |
|---|
| 1155 | font = 'serif' |
|---|
| 1156 | colour = 'black' |
|---|
| 1157 | if axis == 'x': |
|---|
| 1158 | label = self.xaxis_label |
|---|
| 1159 | unit = self.xaxis_unit |
|---|
| 1160 | else: |
|---|
| 1161 | label = self.yaxis_label |
|---|
| 1162 | unit = self.yaxis_unit |
|---|
| 1163 | textdial = TextDialog(None, -1, title, label, unit) |
|---|
| 1164 | if textdial.ShowModal() == wx.ID_OK: |
|---|
| 1165 | try: |
|---|
| 1166 | FONT = FontProperties() |
|---|
| 1167 | font = FONT.copy() |
|---|
| 1168 | font.set_size(textdial.getSize()) |
|---|
| 1169 | font.set_family(textdial.getFamily()) |
|---|
| 1170 | font.set_style(textdial.getStyle()) |
|---|
| 1171 | font.set_weight(textdial.getWeight()) |
|---|
| 1172 | unit = textdial.getUnit() |
|---|
| 1173 | colour = textdial.getColor() |
|---|
| 1174 | is_tick = textdial.getTickLabel() |
|---|
| 1175 | label_temp = textdial.getText() |
|---|
| 1176 | if label_temp.count("\%s" % "\\") > 0: |
|---|
| 1177 | if self.parent != None: |
|---|
| 1178 | from sas.guiframe.events import StatusEvent |
|---|
| 1179 | msg = "Add Label: Error. Can not use double '\\' " |
|---|
| 1180 | msg += "characters..." |
|---|
| 1181 | wx.PostEvent(self.parent, StatusEvent(status=msg)) |
|---|
| 1182 | else: |
|---|
| 1183 | label = label_temp |
|---|
| 1184 | except: |
|---|
| 1185 | if self.parent != None: |
|---|
| 1186 | from sas.guiframe.events import StatusEvent |
|---|
| 1187 | msg = "Add Label: Error. Check your property values..." |
|---|
| 1188 | wx.PostEvent(self.parent, StatusEvent(status=msg)) |
|---|
| 1189 | else: |
|---|
| 1190 | pass |
|---|
| 1191 | else: |
|---|
| 1192 | is_ok = False |
|---|
| 1193 | is_tick = True |
|---|
| 1194 | textdial.Destroy() |
|---|
| 1195 | return label, unit, font, colour, is_ok, is_tick |
|---|
| 1196 | |
|---|
| 1197 | def _on_removetext(self, event): |
|---|
| 1198 | """ |
|---|
| 1199 | Removes all text from the plot. |
|---|
| 1200 | Eventually, add option to remove specific text boxes |
|---|
| 1201 | """ |
|---|
| 1202 | num_text = len(self.textList) |
|---|
| 1203 | if num_text < 1: |
|---|
| 1204 | if self.parent != None: |
|---|
| 1205 | from sas.guiframe.events import StatusEvent |
|---|
| 1206 | msg= "Remove Text: Nothing to remove. " |
|---|
| 1207 | wx.PostEvent(self.parent, StatusEvent(status=msg)) |
|---|
| 1208 | else: |
|---|
| 1209 | raise |
|---|
| 1210 | return |
|---|
| 1211 | txt = self.textList[num_text-1] |
|---|
| 1212 | try: |
|---|
| 1213 | text_remove = txt.get_text() |
|---|
| 1214 | txt.remove() |
|---|
| 1215 | if self.parent != None: |
|---|
| 1216 | from sas.guiframe.events import StatusEvent |
|---|
| 1217 | msg= "Removed Text: '%s'. " % text_remove |
|---|
| 1218 | wx.PostEvent(self.parent, StatusEvent(status=msg)) |
|---|
| 1219 | except: |
|---|
| 1220 | if self.parent != None: |
|---|
| 1221 | from sas.guiframe.events import StatusEvent |
|---|
| 1222 | msg= "Remove Text: Error occurred. " |
|---|
| 1223 | wx.PostEvent(self.parent, StatusEvent(status=msg)) |
|---|
| 1224 | else: |
|---|
| 1225 | raise |
|---|
| 1226 | self.textList.remove(txt) |
|---|
| 1227 | |
|---|
| 1228 | self.subplot.figure.canvas.draw_idle() |
|---|
| 1229 | |
|---|
| 1230 | def properties(self, prop): |
|---|
| 1231 | """ |
|---|
| 1232 | Set some properties of the graph. |
|---|
| 1233 | The set of properties is not yet determined. |
|---|
| 1234 | |
|---|
| 1235 | """ |
|---|
| 1236 | # The particulars of how they are stored and manipulated (e.g., do |
|---|
| 1237 | # we want an inventory internally) is not settled. I've used a |
|---|
| 1238 | # property dictionary for now. |
|---|
| 1239 | # |
|---|
| 1240 | # How these properties interact with a user defined style file is |
|---|
| 1241 | # even less clear. |
|---|
| 1242 | |
|---|
| 1243 | # Properties defined by plot |
|---|
| 1244 | self.subplot.set_xlabel(r"$%s$" % prop["xlabel"]) |
|---|
| 1245 | self.subplot.set_ylabel(r"$%s$" % prop["ylabel"]) |
|---|
| 1246 | self.subplot.set_title(prop["title"]) |
|---|
| 1247 | |
|---|
| 1248 | def clear(self): |
|---|
| 1249 | """Reset the plot""" |
|---|
| 1250 | # TODO: Redraw is brutal. Render to a backing store and swap in |
|---|
| 1251 | # TODO: rather than redrawing on the fly. |
|---|
| 1252 | self.subplot.clear() |
|---|
| 1253 | self.subplot.hold(True) |
|---|
| 1254 | |
|---|
| 1255 | def render(self): |
|---|
| 1256 | """Commit the plot after all objects are drawn""" |
|---|
| 1257 | # TODO: this is when the backing store should be swapped in. |
|---|
| 1258 | if self.legend_on: |
|---|
| 1259 | ax = self.subplot |
|---|
| 1260 | ax.texts = self.textList |
|---|
| 1261 | try: |
|---|
| 1262 | handles, labels = ax.get_legend_handles_labels() |
|---|
| 1263 | # sort them by labels |
|---|
| 1264 | hl = sorted(zip(handles, labels), |
|---|
| 1265 | key=operator.itemgetter(1)) |
|---|
| 1266 | handles2, labels2 = zip(*hl) |
|---|
| 1267 | self.line_collections_list = handles2 |
|---|
| 1268 | self.legend = ax.legend(handles2, labels2, |
|---|
| 1269 | prop=FontProperties(size=10), |
|---|
| 1270 | loc=self.legendLoc) |
|---|
| 1271 | if self.legend != None: |
|---|
| 1272 | self.legend.set_picker(self.legend_picker) |
|---|
| 1273 | self.legend.set_axes(self.subplot) |
|---|
| 1274 | self.legend.set_zorder(20) |
|---|
| 1275 | |
|---|
| 1276 | except: |
|---|
| 1277 | self.legend = ax.legend(prop=FontProperties(size=10), |
|---|
| 1278 | loc=self.legendLoc) |
|---|
| 1279 | |
|---|
| 1280 | def xaxis(self, label, units, font=None, color='black', t_font=None): |
|---|
| 1281 | """xaxis label and units. |
|---|
| 1282 | |
|---|
| 1283 | Axis labels know about units. |
|---|
| 1284 | |
|---|
| 1285 | We need to do this so that we can detect when axes are not |
|---|
| 1286 | commesurate. Currently this is ignored other than for formatting |
|---|
| 1287 | purposes. |
|---|
| 1288 | |
|---|
| 1289 | """ |
|---|
| 1290 | |
|---|
| 1291 | self.xcolor = color |
|---|
| 1292 | if units.count("{") > 0 and units.count("$") < 2: |
|---|
| 1293 | units = '$' + units + '$' |
|---|
| 1294 | if label.count("{") > 0 and label.count("$") < 2: |
|---|
| 1295 | label = '$' + label + '$' |
|---|
| 1296 | if units != "": |
|---|
| 1297 | label = label + " (" + units + ")" |
|---|
| 1298 | if font: |
|---|
| 1299 | self.subplot.set_xlabel(label, fontproperties=font, color=color) |
|---|
| 1300 | if t_font != None: |
|---|
| 1301 | for tick in self.subplot.xaxis.get_major_ticks(): |
|---|
| 1302 | tick.label.set_fontproperties(t_font) |
|---|
| 1303 | for line in self.subplot.xaxis.get_ticklines(): |
|---|
| 1304 | size = t_font.get_size() |
|---|
| 1305 | line.set_markersize(size / 3) |
|---|
| 1306 | else: |
|---|
| 1307 | self.subplot.set_xlabel(label, color=color) |
|---|
| 1308 | pass |
|---|
| 1309 | |
|---|
| 1310 | def yaxis(self, label, units, font=None, color='black', t_font=None): |
|---|
| 1311 | """yaxis label and units.""" |
|---|
| 1312 | self.ycolor = color |
|---|
| 1313 | if units.count("{") > 0 and units.count("$") < 2: |
|---|
| 1314 | units = '$' + units + '$' |
|---|
| 1315 | if label.count("{") > 0 and label.count("$") < 2: |
|---|
| 1316 | label = '$' + label + '$' |
|---|
| 1317 | if units != "": |
|---|
| 1318 | label = label + " (" + units + ")" |
|---|
| 1319 | if font: |
|---|
| 1320 | self.subplot.set_ylabel(label, fontproperties=font, color=color) |
|---|
| 1321 | if t_font != None: |
|---|
| 1322 | for tick_label in self.subplot.get_yticklabels(): |
|---|
| 1323 | tick_label.set_fontproperties(t_font) |
|---|
| 1324 | for line in self.subplot.yaxis.get_ticklines(): |
|---|
| 1325 | size = t_font.get_size() |
|---|
| 1326 | line.set_markersize(size / 3) |
|---|
| 1327 | else: |
|---|
| 1328 | self.subplot.set_ylabel(label, color=color) |
|---|
| 1329 | pass |
|---|
| 1330 | |
|---|
| 1331 | def _connect_to_xlim(self, callback): |
|---|
| 1332 | """Bind the xlim change notification to the callback""" |
|---|
| 1333 | def process_xlim(axes): |
|---|
| 1334 | lo, hi = subplot.get_xlim() |
|---|
| 1335 | callback(lo, hi) |
|---|
| 1336 | self.subplot.callbacks.connect('xlim_changed', process_xlim) |
|---|
| 1337 | |
|---|
| 1338 | def interactive_points(self, x, y, dx=None, dy=None, name='', color=0, |
|---|
| 1339 | symbol=0, markersize=5, zorder=1, id=None, |
|---|
| 1340 | label=None, hide_error=False): |
|---|
| 1341 | """Draw markers with error bars""" |
|---|
| 1342 | self.subplot.set_yscale('linear') |
|---|
| 1343 | self.subplot.set_xscale('linear') |
|---|
| 1344 | if id is None: |
|---|
| 1345 | id = name |
|---|
| 1346 | from plottable_interactor import PointInteractor |
|---|
| 1347 | p = PointInteractor(self, self.subplot, zorder=zorder, id=id) |
|---|
| 1348 | if p.markersize != None: |
|---|
| 1349 | markersize = p.markersize |
|---|
| 1350 | p.points(x, y, dx=dx, dy=dy, color=color, symbol=symbol, zorder=zorder, |
|---|
| 1351 | markersize=markersize, label=label, hide_error=hide_error) |
|---|
| 1352 | |
|---|
| 1353 | self.subplot.set_yscale(self.yscale, nonposy='clip') |
|---|
| 1354 | self.subplot.set_xscale(self.xscale) |
|---|
| 1355 | |
|---|
| 1356 | def interactive_curve(self, x, y, dy=None, name='', color=0, |
|---|
| 1357 | symbol=0, zorder=1, id=None, label=None): |
|---|
| 1358 | """Draw markers with error bars""" |
|---|
| 1359 | self.subplot.set_yscale('linear') |
|---|
| 1360 | self.subplot.set_xscale('linear') |
|---|
| 1361 | if id is None: |
|---|
| 1362 | id = name |
|---|
| 1363 | from plottable_interactor import PointInteractor |
|---|
| 1364 | p = PointInteractor(self, self.subplot, zorder=zorder, id=id) |
|---|
| 1365 | p.curve(x, y, dy=dy, color=color, symbol=symbol, zorder=zorder, |
|---|
| 1366 | label=label) |
|---|
| 1367 | |
|---|
| 1368 | self.subplot.set_yscale(self.yscale, nonposy='clip') |
|---|
| 1369 | self.subplot.set_xscale(self.xscale) |
|---|
| 1370 | |
|---|
| 1371 | def plottable_selected(self, id): |
|---|
| 1372 | """ |
|---|
| 1373 | Called to register a plottable as selected |
|---|
| 1374 | """ |
|---|
| 1375 | #TODO: check that it really is in the list of plottables |
|---|
| 1376 | self.graph.selected_plottable = id |
|---|
| 1377 | |
|---|
| 1378 | def points(self, x, y, dx=None, dy=None, |
|---|
| 1379 | color=0, symbol=0, marker_size=5, label=None, |
|---|
| 1380 | id=None, hide_error=False): |
|---|
| 1381 | """Draw markers with error bars""" |
|---|
| 1382 | |
|---|
| 1383 | # Convert tuple (lo,hi) to array [(x-lo),(hi-x)] |
|---|
| 1384 | if dx != None and type(dx) == type(()): |
|---|
| 1385 | dx = nx.vstack((x-dx[0], dx[1]-x)).transpose() |
|---|
| 1386 | if dy != None and type(dy) == type(()): |
|---|
| 1387 | dy = nx.vstack((y-dy[0], dy[1]-y)).transpose() |
|---|
| 1388 | if dx == None and dy == None: |
|---|
| 1389 | h = self.subplot.plot(x, y, color=self._color(color), |
|---|
| 1390 | marker=self._symbol(symbol), markersize=marker_size, |
|---|
| 1391 | linestyle='', |
|---|
| 1392 | label=label) |
|---|
| 1393 | else: |
|---|
| 1394 | col = self._color(color) |
|---|
| 1395 | if hide_error: |
|---|
| 1396 | h = self.subplot.plot(x, y, color=col, |
|---|
| 1397 | marker=self._symbol(symbol), |
|---|
| 1398 | markersize=marker_size, |
|---|
| 1399 | linestyle='', |
|---|
| 1400 | label=label) |
|---|
| 1401 | else: |
|---|
| 1402 | h = self.subplot.errorbar(x, y, yerr=dy, xerr=None, |
|---|
| 1403 | ecolor=col, capsize=2, linestyle='', |
|---|
| 1404 | barsabove=False, |
|---|
| 1405 | mec=col, mfc=col, |
|---|
| 1406 | marker=self._symbol(symbol), |
|---|
| 1407 | markersize=marker_size, |
|---|
| 1408 | lolims=False, uplims=False, |
|---|
| 1409 | xlolims=False, xuplims=False, label=label) |
|---|
| 1410 | |
|---|
| 1411 | self.subplot.set_yscale(self.yscale, nonposy='clip') |
|---|
| 1412 | self.subplot.set_xscale(self.xscale) |
|---|
| 1413 | |
|---|
| 1414 | def _onToggleScale(self, event): |
|---|
| 1415 | """ |
|---|
| 1416 | toggle axis and replot image |
|---|
| 1417 | |
|---|
| 1418 | """ |
|---|
| 1419 | zmin_2D_temp = self.zmin_2D |
|---|
| 1420 | zmax_2D_temp = self.zmax_2D |
|---|
| 1421 | if self.scale == 'log_{10}': |
|---|
| 1422 | self.scale = 'linear' |
|---|
| 1423 | if not self.zmin_2D is None: |
|---|
| 1424 | zmin_2D_temp = math.pow(10, self.zmin_2D) |
|---|
| 1425 | if not self.zmax_2D is None: |
|---|
| 1426 | zmax_2D_temp = math.pow(10, self.zmax_2D) |
|---|
| 1427 | else: |
|---|
| 1428 | self.scale = 'log_{10}' |
|---|
| 1429 | if not self.zmin_2D is None: |
|---|
| 1430 | # min log value: no log(negative) |
|---|
| 1431 | if self.zmin_2D <= 0: |
|---|
| 1432 | zmin_2D_temp = -32 |
|---|
| 1433 | else: |
|---|
| 1434 | zmin_2D_temp = math.log10(self.zmin_2D) |
|---|
| 1435 | if not self.zmax_2D is None: |
|---|
| 1436 | zmax_2D_temp = math.log10(self.zmax_2D) |
|---|
| 1437 | |
|---|
| 1438 | self.image(data=self.data, qx_data=self.qx_data, |
|---|
| 1439 | qy_data=self.qy_data, xmin=self.xmin_2D, |
|---|
| 1440 | xmax=self.xmax_2D, |
|---|
| 1441 | ymin=self.ymin_2D, ymax=self.ymax_2D, |
|---|
| 1442 | cmap=self.cmap, zmin=zmin_2D_temp, |
|---|
| 1443 | zmax=zmax_2D_temp) |
|---|
| 1444 | |
|---|
| 1445 | def image(self, data, qx_data, qy_data, xmin, xmax, ymin, ymax, |
|---|
| 1446 | zmin, zmax, color=0, symbol=0, markersize=0, |
|---|
| 1447 | label='data2D', cmap=DEFAULT_CMAP): |
|---|
| 1448 | """ |
|---|
| 1449 | Render the current data |
|---|
| 1450 | |
|---|
| 1451 | """ |
|---|
| 1452 | self.data = data |
|---|
| 1453 | self.qx_data = qx_data |
|---|
| 1454 | self.qy_data = qy_data |
|---|
| 1455 | self.xmin_2D = xmin |
|---|
| 1456 | self.xmax_2D = xmax |
|---|
| 1457 | self.ymin_2D = ymin |
|---|
| 1458 | self.ymax_2D = ymax |
|---|
| 1459 | self.zmin_2D = zmin |
|---|
| 1460 | self.zmax_2D = zmax |
|---|
| 1461 | c = self._color(color) |
|---|
| 1462 | # If we don't have any data, skip. |
|---|
| 1463 | if self.data == None: |
|---|
| 1464 | return |
|---|
| 1465 | if self.data.ndim == 1: |
|---|
| 1466 | output = self._build_matrix() |
|---|
| 1467 | else: |
|---|
| 1468 | output = copy.deepcopy(self.data) |
|---|
| 1469 | # check scale |
|---|
| 1470 | if self.scale == 'log_{10}': |
|---|
| 1471 | try: |
|---|
| 1472 | if self.zmin_2D <= 0 and len(output[output > 0]) > 0: |
|---|
| 1473 | zmin_temp = self.zmin_2D |
|---|
| 1474 | output[output>0] = numpy.log10(output[output>0]) |
|---|
| 1475 | #In log scale Negative values are not correct in general |
|---|
| 1476 | #output[output<=0] = math.log(numpy.min(output[output>0])) |
|---|
| 1477 | elif self.zmin_2D <= 0: |
|---|
| 1478 | zmin_temp = self.zmin_2D |
|---|
| 1479 | output[output>0] = numpy.zeros(len(output)) |
|---|
| 1480 | output[output<=0] = -32 |
|---|
| 1481 | else: |
|---|
| 1482 | zmin_temp = self.zmin_2D |
|---|
| 1483 | output[output>0] = numpy.log10(output[output>0]) |
|---|
| 1484 | #In log scale Negative values are not correct in general |
|---|
| 1485 | #output[output<=0] = math.log(numpy.min(output[output>0])) |
|---|
| 1486 | except: |
|---|
| 1487 | #Too many problems in 2D plot with scale |
|---|
| 1488 | pass |
|---|
| 1489 | |
|---|
| 1490 | else: |
|---|
| 1491 | zmin_temp = self.zmin_2D |
|---|
| 1492 | self.cmap = cmap |
|---|
| 1493 | if self.dimension != 3: |
|---|
| 1494 | #Re-adjust colorbar |
|---|
| 1495 | self.subplot.figure.subplots_adjust(left=0.2, right=.8, bottom=.2) |
|---|
| 1496 | |
|---|
| 1497 | im = self.subplot.imshow(output, interpolation='nearest', |
|---|
| 1498 | origin='lower', |
|---|
| 1499 | vmin=zmin_temp, vmax=self.zmax_2D, |
|---|
| 1500 | cmap=self.cmap, |
|---|
| 1501 | extent=(self.xmin_2D, self.xmax_2D, |
|---|
| 1502 | self.ymin_2D, self.ymax_2D)) |
|---|
| 1503 | |
|---|
| 1504 | cbax = self.subplot.figure.add_axes([0.84,0.2,0.02,0.7]) |
|---|
| 1505 | else: |
|---|
| 1506 | # clear the previous 2D from memory |
|---|
| 1507 | # mpl is not clf, so we do |
|---|
| 1508 | self.subplot.figure.clear() |
|---|
| 1509 | |
|---|
| 1510 | self.subplot.figure.subplots_adjust(left=0.1, right=.8, bottom=.1) |
|---|
| 1511 | |
|---|
| 1512 | X = self.x_bins[0:-1] |
|---|
| 1513 | Y = self.y_bins[0:-1] |
|---|
| 1514 | X, Y = numpy.meshgrid(X, Y) |
|---|
| 1515 | |
|---|
| 1516 | try: |
|---|
| 1517 | # mpl >= 1.0.0 |
|---|
| 1518 | ax = self.subplot.figure.gca(projection='3d') |
|---|
| 1519 | #ax.disable_mouse_rotation() |
|---|
| 1520 | cbax = self.subplot.figure.add_axes([0.84,0.1,0.02,0.8]) |
|---|
| 1521 | if len(X) > 60: |
|---|
| 1522 | ax.disable_mouse_rotation() |
|---|
| 1523 | except: |
|---|
| 1524 | # mpl < 1.0.0 |
|---|
| 1525 | try: |
|---|
| 1526 | from mpl_toolkits.mplot3d import Axes3D |
|---|
| 1527 | except: |
|---|
| 1528 | logging.error("PlotPanel could not import Axes3D") |
|---|
| 1529 | self.subplot.figure.clear() |
|---|
| 1530 | ax = Axes3D(self.subplot.figure) |
|---|
| 1531 | if len(X) > 60: |
|---|
| 1532 | ax.cla() |
|---|
| 1533 | cbax = None |
|---|
| 1534 | self.subplot.figure.canvas.resizing = False |
|---|
| 1535 | im = ax.plot_surface(X, Y, output, rstride=1, cstride=1, cmap=cmap, |
|---|
| 1536 | linewidth=0, antialiased=False) |
|---|
| 1537 | self.subplot.set_axis_off() |
|---|
| 1538 | |
|---|
| 1539 | if cbax == None: |
|---|
| 1540 | ax.set_frame_on(False) |
|---|
| 1541 | cb = self.subplot.figure.colorbar(im, shrink=0.8, aspect=20) |
|---|
| 1542 | else: |
|---|
| 1543 | cb = self.subplot.figure.colorbar(im, cax=cbax) |
|---|
| 1544 | cb.update_bruteforce(im) |
|---|
| 1545 | cb.set_label('$' + self.scale + '$') |
|---|
| 1546 | if self.dimension != 3: |
|---|
| 1547 | self.figure.canvas.draw_idle() |
|---|
| 1548 | else: |
|---|
| 1549 | self.figure.canvas.draw() |
|---|
| 1550 | |
|---|
| 1551 | def _build_matrix(self): |
|---|
| 1552 | """ |
|---|
| 1553 | Build a matrix for 2d plot from a vector |
|---|
| 1554 | Returns a matrix (image) with ~ square binning |
|---|
| 1555 | Requirement: need 1d array formats of |
|---|
| 1556 | self.data, self.qx_data, and self.qy_data |
|---|
| 1557 | where each one corresponds to z, x, or y axis values |
|---|
| 1558 | |
|---|
| 1559 | """ |
|---|
| 1560 | # No qx or qy given in a vector format |
|---|
| 1561 | if self.qx_data == None or self.qy_data == None \ |
|---|
| 1562 | or self.qx_data.ndim != 1 or self.qy_data.ndim != 1: |
|---|
| 1563 | # do we need deepcopy here? |
|---|
| 1564 | return copy.deepcopy(self.data) |
|---|
| 1565 | |
|---|
| 1566 | # maximum # of loops to fillup_pixels |
|---|
| 1567 | # otherwise, loop could never stop depending on data |
|---|
| 1568 | max_loop = 1 |
|---|
| 1569 | # get the x and y_bin arrays. |
|---|
| 1570 | self._get_bins() |
|---|
| 1571 | # set zero to None |
|---|
| 1572 | |
|---|
| 1573 | #Note: Can not use scipy.interpolate.Rbf: |
|---|
| 1574 | # 'cause too many data points (>10000)<=JHC. |
|---|
| 1575 | # 1d array to use for weighting the data point averaging |
|---|
| 1576 | #when they fall into a same bin. |
|---|
| 1577 | weights_data = numpy.ones([self.data.size]) |
|---|
| 1578 | # get histogram of ones w/len(data); this will provide |
|---|
| 1579 | #the weights of data on each bins |
|---|
| 1580 | weights, xedges, yedges = numpy.histogram2d(x=self.qy_data, |
|---|
| 1581 | y=self.qx_data, |
|---|
| 1582 | bins=[self.y_bins, self.x_bins], |
|---|
| 1583 | weights=weights_data) |
|---|
| 1584 | # get histogram of data, all points into a bin in a way of summing |
|---|
| 1585 | image, xedges, yedges = numpy.histogram2d(x=self.qy_data, |
|---|
| 1586 | y=self.qx_data, |
|---|
| 1587 | bins=[self.y_bins, self.x_bins], |
|---|
| 1588 | weights=self.data) |
|---|
| 1589 | # Now, normalize the image by weights only for weights>1: |
|---|
| 1590 | # If weight == 1, there is only one data point in the bin so |
|---|
| 1591 | # that no normalization is required. |
|---|
| 1592 | image[weights > 1] = image[weights>1]/weights[weights>1] |
|---|
| 1593 | # Set image bins w/o a data point (weight==0) as None (was set to zero |
|---|
| 1594 | # by histogram2d.) |
|---|
| 1595 | image[weights == 0] = None |
|---|
| 1596 | |
|---|
| 1597 | # Fill empty bins with 8 nearest neighbors only when at least |
|---|
| 1598 | #one None point exists |
|---|
| 1599 | loop = 0 |
|---|
| 1600 | |
|---|
| 1601 | # do while loop until all vacant bins are filled up up |
|---|
| 1602 | #to loop = max_loop |
|---|
| 1603 | while(not(numpy.isfinite(image[weights == 0])).all()): |
|---|
| 1604 | if loop >= max_loop: # this protects never-ending loop |
|---|
| 1605 | break |
|---|
| 1606 | image = self._fillup_pixels(image=image, weights=weights) |
|---|
| 1607 | loop += 1 |
|---|
| 1608 | |
|---|
| 1609 | return image |
|---|
| 1610 | |
|---|
| 1611 | def _get_bins(self): |
|---|
| 1612 | """ |
|---|
| 1613 | get bins |
|---|
| 1614 | set x_bins and y_bins into self, 1d arrays of the index with |
|---|
| 1615 | ~ square binning |
|---|
| 1616 | Requirement: need 1d array formats of |
|---|
| 1617 | self.qx_data, and self.qy_data |
|---|
| 1618 | where each one corresponds to x, or y axis values |
|---|
| 1619 | """ |
|---|
| 1620 | # No qx or qy given in a vector format |
|---|
| 1621 | if self.qx_data == None or self.qy_data == None \ |
|---|
| 1622 | or self.qx_data.ndim != 1 or self.qy_data.ndim != 1: |
|---|
| 1623 | # do we need deepcopy here? |
|---|
| 1624 | return copy.deepcopy(self.data) |
|---|
| 1625 | |
|---|
| 1626 | # find max and min values of qx and qy |
|---|
| 1627 | xmax = self.qx_data.max() |
|---|
| 1628 | xmin = self.qx_data.min() |
|---|
| 1629 | ymax = self.qy_data.max() |
|---|
| 1630 | ymin = self.qy_data.min() |
|---|
| 1631 | |
|---|
| 1632 | # calculate the range of qx and qy: this way, it is a little |
|---|
| 1633 | # more independent |
|---|
| 1634 | x_size = xmax - xmin |
|---|
| 1635 | y_size = ymax - ymin |
|---|
| 1636 | |
|---|
| 1637 | # estimate the # of pixels on each axes |
|---|
| 1638 | npix_y = int(math.floor(math.sqrt(len(self.qy_data)))) |
|---|
| 1639 | npix_x = int(math.floor(len(self.qy_data) / npix_y)) |
|---|
| 1640 | |
|---|
| 1641 | # bin size: x- & y-directions |
|---|
| 1642 | xstep = x_size / (npix_x - 1) |
|---|
| 1643 | ystep = y_size / (npix_y - 1) |
|---|
| 1644 | |
|---|
| 1645 | # max and min taking account of the bin sizes |
|---|
| 1646 | xmax = xmax + xstep / 2.0 |
|---|
| 1647 | xmin = xmin - xstep / 2.0 |
|---|
| 1648 | ymax = ymax + ystep / 2.0 |
|---|
| 1649 | ymin = ymin - ystep / 2.0 |
|---|
| 1650 | |
|---|
| 1651 | # store x and y bin centers in q space |
|---|
| 1652 | x_bins = numpy.linspace(xmin, xmax, npix_x) |
|---|
| 1653 | y_bins = numpy.linspace(ymin, ymax, npix_y) |
|---|
| 1654 | #x_bins = numpy.arange(xmin, xmax + xstep / 10.0, xstep) |
|---|
| 1655 | #y_bins = numpy.arange(ymin, ymax + ystep / 10.0, ystep) |
|---|
| 1656 | |
|---|
| 1657 | #set x_bins and y_bins |
|---|
| 1658 | self.x_bins = x_bins |
|---|
| 1659 | self.y_bins = y_bins |
|---|
| 1660 | |
|---|
| 1661 | def _fillup_pixels(self, image=None, weights=None): |
|---|
| 1662 | """ |
|---|
| 1663 | Fill z values of the empty cells of 2d image matrix |
|---|
| 1664 | with the average over up-to next nearest neighbor points |
|---|
| 1665 | |
|---|
| 1666 | :param image: (2d matrix with some zi = None) |
|---|
| 1667 | |
|---|
| 1668 | :return: image (2d array ) |
|---|
| 1669 | |
|---|
| 1670 | :TODO: Find better way to do for-loop below |
|---|
| 1671 | |
|---|
| 1672 | """ |
|---|
| 1673 | # No image matrix given |
|---|
| 1674 | if image == None or numpy.ndim(image) != 2 \ |
|---|
| 1675 | or numpy.isfinite(image).all() \ |
|---|
| 1676 | or weights == None: |
|---|
| 1677 | return image |
|---|
| 1678 | # Get bin size in y and x directions |
|---|
| 1679 | len_y = len(image) |
|---|
| 1680 | len_x = len(image[1]) |
|---|
| 1681 | temp_image = numpy.zeros([len_y, len_x]) |
|---|
| 1682 | weit = numpy.zeros([len_y, len_x]) |
|---|
| 1683 | # do for-loop for all pixels |
|---|
| 1684 | for n_y in range(len(image)): |
|---|
| 1685 | for n_x in range(len(image[1])): |
|---|
| 1686 | # find only null pixels |
|---|
| 1687 | if weights[n_y][n_x] > 0 or numpy.isfinite(image[n_y][n_x]): |
|---|
| 1688 | continue |
|---|
| 1689 | else: |
|---|
| 1690 | # find 4 nearest neighbors |
|---|
| 1691 | # check where or not it is at the corner |
|---|
| 1692 | if n_y != 0 and numpy.isfinite(image[n_y-1][n_x]): |
|---|
| 1693 | temp_image[n_y][n_x] += image[n_y-1][n_x] |
|---|
| 1694 | weit[n_y][n_x] += 1 |
|---|
| 1695 | if n_x != 0 and numpy.isfinite(image[n_y][n_x-1]): |
|---|
| 1696 | temp_image[n_y][n_x] += image[n_y][n_x-1] |
|---|
| 1697 | weit[n_y][n_x] += 1 |
|---|
| 1698 | if n_y != len_y -1 and numpy.isfinite(image[n_y+1][n_x]): |
|---|
| 1699 | temp_image[n_y][n_x] += image[n_y+1][n_x] |
|---|
| 1700 | weit[n_y][n_x] += 1 |
|---|
| 1701 | if n_x != len_x -1 and numpy.isfinite(image[n_y][n_x+1]): |
|---|
| 1702 | temp_image[n_y][n_x] += image[n_y][n_x+1] |
|---|
| 1703 | weit[n_y][n_x] += 1 |
|---|
| 1704 | # go 4 next nearest neighbors when no non-zero |
|---|
| 1705 | # neighbor exists |
|---|
| 1706 | if n_y != 0 and n_x != 0 and\ |
|---|
| 1707 | numpy.isfinite(image[n_y-1][n_x-1]): |
|---|
| 1708 | temp_image[n_y][n_x] += image[n_y-1][n_x-1] |
|---|
| 1709 | weit[n_y][n_x] += 1 |
|---|
| 1710 | if n_y != len_y -1 and n_x != 0 and \ |
|---|
| 1711 | numpy.isfinite(image[n_y+1][n_x-1]): |
|---|
| 1712 | temp_image[n_y][n_x] += image[n_y+1][n_x-1] |
|---|
| 1713 | weit[n_y][n_x] += 1 |
|---|
| 1714 | if n_y != len_y and n_x != len_x -1 and \ |
|---|
| 1715 | numpy.isfinite(image[n_y-1][n_x+1]): |
|---|
| 1716 | temp_image[n_y][n_x] += image[n_y-1][n_x+1] |
|---|
| 1717 | weit[n_y][n_x] += 1 |
|---|
| 1718 | if n_y != len_y -1 and n_x != len_x -1 and \ |
|---|
| 1719 | numpy.isfinite(image[n_y+1][n_x+1]): |
|---|
| 1720 | temp_image[n_y][n_x] += image[n_y+1][n_x+1] |
|---|
| 1721 | weit[n_y][n_x] += 1 |
|---|
| 1722 | |
|---|
| 1723 | # get it normalized |
|---|
| 1724 | ind = (weit > 0) |
|---|
| 1725 | image[ind] = temp_image[ind] / weit[ind] |
|---|
| 1726 | |
|---|
| 1727 | return image |
|---|
| 1728 | |
|---|
| 1729 | def curve(self, x, y, dy=None, color=0, symbol=0, label=None): |
|---|
| 1730 | """Draw a line on a graph, possibly with confidence intervals.""" |
|---|
| 1731 | c = self._color(color) |
|---|
| 1732 | self.subplot.set_yscale('linear') |
|---|
| 1733 | self.subplot.set_xscale('linear') |
|---|
| 1734 | |
|---|
| 1735 | self.subplot.plot(x, y, color=c, marker='', |
|---|
| 1736 | linestyle='-', label=label) |
|---|
| 1737 | self.subplot.set_yscale(self.yscale) |
|---|
| 1738 | self.subplot.set_xscale(self.xscale) |
|---|
| 1739 | |
|---|
| 1740 | def _color(self, c): |
|---|
| 1741 | """Return a particular colour""" |
|---|
| 1742 | return self.colorlist[c % len(self.colorlist)] |
|---|
| 1743 | |
|---|
| 1744 | def _symbol(self, s): |
|---|
| 1745 | """Return a particular symbol""" |
|---|
| 1746 | return self.symbollist[s % len(self.symbollist)] |
|---|
| 1747 | |
|---|
| 1748 | def _replot(self, remove_fit=False): |
|---|
| 1749 | """ |
|---|
| 1750 | Rescale the plottables according to the latest |
|---|
| 1751 | user selection and update the plot |
|---|
| 1752 | |
|---|
| 1753 | :param remove_fit: Fit line will be removed if True |
|---|
| 1754 | |
|---|
| 1755 | """ |
|---|
| 1756 | self.graph.reset_scale() |
|---|
| 1757 | self._onEVT_FUNC_PROPERTY(remove_fit=remove_fit) |
|---|
| 1758 | #TODO: Why do we have to have the following line? |
|---|
| 1759 | self.fit_result.reset_view() |
|---|
| 1760 | self.graph.render(self) |
|---|
| 1761 | self.subplot.figure.canvas.draw_idle() |
|---|
| 1762 | |
|---|
| 1763 | def _onEVT_FUNC_PROPERTY(self, remove_fit=True, show=True): |
|---|
| 1764 | """ |
|---|
| 1765 | Receive the x and y transformation from myDialog, |
|---|
| 1766 | Transforms x and y in View |
|---|
| 1767 | and set the scale |
|---|
| 1768 | """ |
|---|
| 1769 | # The logic should be in the right order |
|---|
| 1770 | # Delete first, and then get the whole list... |
|---|
| 1771 | if remove_fit: |
|---|
| 1772 | self.graph.delete(self.fit_result) |
|---|
| 1773 | self.ly = None |
|---|
| 1774 | self.q_ctrl = None |
|---|
| 1775 | list = [] |
|---|
| 1776 | list = self.graph.returnPlottable() |
|---|
| 1777 | # Changing the scale might be incompatible with |
|---|
| 1778 | # currently displayed data (for instance, going |
|---|
| 1779 | # from ln to log when all plotted values have |
|---|
| 1780 | # negative natural logs). |
|---|
| 1781 | # Go linear and only change the scale at the end. |
|---|
| 1782 | self.set_xscale("linear") |
|---|
| 1783 | self.set_yscale("linear") |
|---|
| 1784 | _xscale = 'linear' |
|---|
| 1785 | _yscale = 'linear' |
|---|
| 1786 | for item in list: |
|---|
| 1787 | item.setLabel(self.xLabel, self.yLabel) |
|---|
| 1788 | |
|---|
| 1789 | # control axis labels from the panel itself |
|---|
| 1790 | yname, yunits = item.get_yaxis() |
|---|
| 1791 | if self.yaxis_label != None: |
|---|
| 1792 | yname = self.yaxis_label |
|---|
| 1793 | yunits = self.yaxis_unit |
|---|
| 1794 | else: |
|---|
| 1795 | self.yaxis_label = yname |
|---|
| 1796 | self.yaxis_unit = yunits |
|---|
| 1797 | xname, xunits = item.get_xaxis() |
|---|
| 1798 | if self.xaxis_label != None: |
|---|
| 1799 | xname = self.xaxis_label |
|---|
| 1800 | xunits = self.xaxis_unit |
|---|
| 1801 | else: |
|---|
| 1802 | self.xaxis_label = xname |
|---|
| 1803 | self.xaxis_unit = xunits |
|---|
| 1804 | # Goes through all possible scales |
|---|
| 1805 | if(self.xLabel == "x"): |
|---|
| 1806 | item.transformX(transform.toX, transform.errToX) |
|---|
| 1807 | self.graph._xaxis_transformed("%s" % xname, "%s" % xunits) |
|---|
| 1808 | if(self.xLabel == "x^(2)"): |
|---|
| 1809 | item.transformX(transform.toX2, transform.errToX2) |
|---|
| 1810 | xunits = convertUnit(2, xunits) |
|---|
| 1811 | self.graph._xaxis_transformed("%s^{2}" % xname, "%s" % xunits) |
|---|
| 1812 | if(self.xLabel == "x^(4)"): |
|---|
| 1813 | item.transformX(transform.toX4, transform.errToX4) |
|---|
| 1814 | xunits = convertUnit(4, xunits) |
|---|
| 1815 | self.graph._xaxis_transformed("%s^{4}" % xname, "%s" % xunits) |
|---|
| 1816 | if(self.xLabel == "ln(x)"): |
|---|
| 1817 | item.transformX(transform.toLogX, transform.errToLogX) |
|---|
| 1818 | self.graph._xaxis_transformed("\ln\\ %s" % xname, "%s" % xunits) |
|---|
| 1819 | if(self.xLabel == "log10(x)"): |
|---|
| 1820 | item.transformX(transform.toX_pos, transform.errToX_pos) |
|---|
| 1821 | _xscale = 'log' |
|---|
| 1822 | self.graph._xaxis_transformed("%s" % xname, "%s" % xunits) |
|---|
| 1823 | if(self.xLabel == "log10(x^(4))"): |
|---|
| 1824 | item.transformX(transform.toX4, transform.errToX4) |
|---|
| 1825 | xunits = convertUnit(4, xunits) |
|---|
| 1826 | self.graph._xaxis_transformed("%s^{4}" % xname, "%s" % xunits) |
|---|
| 1827 | _xscale = 'log' |
|---|
| 1828 | if(self.yLabel == "ln(y)"): |
|---|
| 1829 | item.transformY(transform.toLogX, transform.errToLogX) |
|---|
| 1830 | self.graph._yaxis_transformed("\ln\\ %s" % yname, "%s" % yunits) |
|---|
| 1831 | if(self.yLabel == "y"): |
|---|
| 1832 | item.transformY(transform.toX, transform.errToX) |
|---|
| 1833 | self.graph._yaxis_transformed("%s" % yname, "%s" % yunits) |
|---|
| 1834 | if(self.yLabel == "log10(y)"): |
|---|
| 1835 | item.transformY(transform.toX_pos, transform.errToX_pos) |
|---|
| 1836 | _yscale = 'log' |
|---|
| 1837 | self.graph._yaxis_transformed("%s" % yname, "%s" % yunits) |
|---|
| 1838 | if(self.yLabel == "y^(2)"): |
|---|
| 1839 | item.transformY(transform.toX2, transform.errToX2) |
|---|
| 1840 | yunits = convertUnit(2, yunits) |
|---|
| 1841 | self.graph._yaxis_transformed("%s^{2}" % yname, "%s" % yunits) |
|---|
| 1842 | if(self.yLabel == "1/y"): |
|---|
| 1843 | item.transformY(transform.toOneOverX, transform.errOneOverX) |
|---|
| 1844 | yunits = convertUnit(-1, yunits) |
|---|
| 1845 | self.graph._yaxis_transformed("1/%s" % yname, "%s" % yunits) |
|---|
| 1846 | if(self.yLabel == "y*x^(4)"): |
|---|
| 1847 | item.transformY(transform.toYX4, transform.errToYX4) |
|---|
| 1848 | xunits = convertUnit(4, self.xaxis_unit) |
|---|
| 1849 | self.graph._yaxis_transformed("%s \ \ %s^{4}" % (yname, xname), |
|---|
| 1850 | "%s%s" % (yunits, xunits)) |
|---|
| 1851 | if(self.yLabel == "1/sqrt(y)"): |
|---|
| 1852 | item.transformY(transform.toOneOverSqrtX, |
|---|
| 1853 | transform.errOneOverSqrtX) |
|---|
| 1854 | yunits = convertUnit(-0.5, yunits) |
|---|
| 1855 | self.graph._yaxis_transformed("1/\sqrt{%s}" % yname, |
|---|
| 1856 | "%s" % yunits) |
|---|
| 1857 | if(self.yLabel == "ln(y*x)"): |
|---|
| 1858 | item.transformY(transform.toLogXY, transform.errToLogXY) |
|---|
| 1859 | self.graph._yaxis_transformed("\ln (%s \ \ %s)" % (yname, xname), |
|---|
| 1860 | "%s%s" % (yunits, self.xaxis_unit)) |
|---|
| 1861 | if(self.yLabel == "ln(y*x^(2))"): |
|---|
| 1862 | item.transformY( transform.toLogYX2, transform.errToLogYX2) |
|---|
| 1863 | xunits = convertUnit(2, self.xaxis_unit) |
|---|
| 1864 | self.graph._yaxis_transformed("\ln (%s \ \ %s^{2})" % (yname, xname), |
|---|
| 1865 | "%s%s" % (yunits, xunits)) |
|---|
| 1866 | if(self.yLabel == "ln(y*x^(4))"): |
|---|
| 1867 | item.transformY(transform.toLogYX4, transform.errToLogYX4) |
|---|
| 1868 | xunits = convertUnit(4, self.xaxis_unit) |
|---|
| 1869 | self.graph._yaxis_transformed("\ln (%s \ \ %s^{4})" % (yname, xname), |
|---|
| 1870 | "%s%s" % (yunits, xunits)) |
|---|
| 1871 | if(self.yLabel == "log10(y*x^(4))"): |
|---|
| 1872 | item.transformY(transform.toYX4, transform.errToYX4) |
|---|
| 1873 | xunits = convertUnit(4, self.xaxis_unit) |
|---|
| 1874 | _yscale = 'log' |
|---|
| 1875 | self.graph._yaxis_transformed("%s \ \ %s^{4}" % (yname, xname), |
|---|
| 1876 | "%s%s" % (yunits, xunits)) |
|---|
| 1877 | if(self.viewModel == "Guinier lny vs x^(2)"): |
|---|
| 1878 | item.transformX(transform.toX2, transform.errToX2) |
|---|
| 1879 | xunits = convertUnit(2, xunits) |
|---|
| 1880 | self.graph._xaxis_transformed("%s^{2}" % xname, "%s" % xunits) |
|---|
| 1881 | item.transformY(transform.toLogX,transform.errToLogX) |
|---|
| 1882 | self.graph._yaxis_transformed("\ln\ \ %s" % yname, "%s" % yunits) |
|---|
| 1883 | if(self.viewModel == "Porod y*x^(4) vs x^(4)"): |
|---|
| 1884 | item.transformX(transform.toX4, transform.errToX4) |
|---|
| 1885 | xunits = convertUnit(4, self.xaxis_unit) |
|---|
| 1886 | self.graph._xaxis_transformed("%s^{4}" % xname, "%s" % xunits) |
|---|
| 1887 | item.transformY(transform.toYX4, transform.errToYX4) |
|---|
| 1888 | self.graph._yaxis_transformed("%s \ \ %s^{4}" % (yname, xname), |
|---|
| 1889 | "%s%s" % (yunits, xunits)) |
|---|
| 1890 | item.transformView() |
|---|
| 1891 | |
|---|
| 1892 | # set new label and units |
|---|
| 1893 | yname = self.graph.prop["ylabel"] |
|---|
| 1894 | yunits = '' |
|---|
| 1895 | xname = self.graph.prop["xlabel"] |
|---|
| 1896 | xunits = '' |
|---|
| 1897 | |
|---|
| 1898 | self.resetFitView() |
|---|
| 1899 | self.prevXtrans = self.xLabel |
|---|
| 1900 | self.prevYtrans = self.yLabel |
|---|
| 1901 | self.graph.render(self) |
|---|
| 1902 | self.set_xscale(_xscale) |
|---|
| 1903 | self.set_yscale(_yscale) |
|---|
| 1904 | |
|---|
| 1905 | self.xaxis(xname, xunits, self.xaxis_font, |
|---|
| 1906 | self.xaxis_color, self.xaxis_tick) |
|---|
| 1907 | self.yaxis(yname, yunits, self.yaxis_font, |
|---|
| 1908 | self.yaxis_color, self.yaxis_tick) |
|---|
| 1909 | self.subplot.texts = self.textList |
|---|
| 1910 | if show: |
|---|
| 1911 | self.subplot.figure.canvas.draw_idle() |
|---|
| 1912 | |
|---|
| 1913 | def onFitDisplay(self, tempx, tempy, xminView, |
|---|
| 1914 | xmaxView, xmin, xmax, func): |
|---|
| 1915 | """ |
|---|
| 1916 | Add a new plottable into the graph .In this case this plottable |
|---|
| 1917 | will be used to fit some data |
|---|
| 1918 | |
|---|
| 1919 | :param tempx: The x data of fit line |
|---|
| 1920 | :param tempy: The y data of fit line |
|---|
| 1921 | :param xminView: the lower bound of fitting range |
|---|
| 1922 | :param xminView: the upper bound of fitting range |
|---|
| 1923 | :param xmin: the lowest value of data to fit to the line |
|---|
| 1924 | :param xmax: the highest value of data to fit to the line |
|---|
| 1925 | |
|---|
| 1926 | """ |
|---|
| 1927 | # Saving value to redisplay in Fit Dialog when it is opened again |
|---|
| 1928 | self.Avalue, self.Bvalue, self.ErrAvalue, \ |
|---|
| 1929 | self.ErrBvalue, self.Chivalue = func |
|---|
| 1930 | self.xminView = xminView |
|---|
| 1931 | self.xmaxView = xmaxView |
|---|
| 1932 | self.xmin = xmin |
|---|
| 1933 | self.xmax = xmax |
|---|
| 1934 | #In case need to change the range of data plotted |
|---|
| 1935 | list = [] |
|---|
| 1936 | list = self.graph.returnPlottable() |
|---|
| 1937 | for item in list: |
|---|
| 1938 | #item.onFitRange(xminView,xmaxView) |
|---|
| 1939 | item.onFitRange(None, None) |
|---|
| 1940 | # Create new data plottable with result |
|---|
| 1941 | self.fit_result.x = [] |
|---|
| 1942 | self.fit_result.y = [] |
|---|
| 1943 | self.fit_result.x = tempx |
|---|
| 1944 | self.fit_result.y = tempy |
|---|
| 1945 | self.fit_result.dx = None |
|---|
| 1946 | self.fit_result.dy = None |
|---|
| 1947 | #Load the view with the new values |
|---|
| 1948 | self.fit_result.reset_view() |
|---|
| 1949 | # Add the new plottable to the graph |
|---|
| 1950 | self.graph.add(self.fit_result) |
|---|
| 1951 | self.graph.render(self) |
|---|
| 1952 | self._offset_graph() |
|---|
| 1953 | self.subplot.figure.canvas.draw_idle() |
|---|
| 1954 | |
|---|
| 1955 | def onChangeCaption(self, event): |
|---|
| 1956 | """ |
|---|
| 1957 | """ |
|---|
| 1958 | if self.parent == None: |
|---|
| 1959 | return |
|---|
| 1960 | # get current caption |
|---|
| 1961 | old_caption = self.window_caption |
|---|
| 1962 | # Get new caption dialog |
|---|
| 1963 | dial = LabelDialog(None, -1, 'Modify Window Title', old_caption) |
|---|
| 1964 | if dial.ShowModal() == wx.ID_OK: |
|---|
| 1965 | new_caption = dial.getText() |
|---|
| 1966 | |
|---|
| 1967 | # send to guiframe to change the panel caption |
|---|
| 1968 | caption = self.parent.on_change_caption(self.window_name, |
|---|
| 1969 | old_caption, new_caption) |
|---|
| 1970 | |
|---|
| 1971 | # also set new caption in plot_panels list |
|---|
| 1972 | self.parent.plot_panels[self.uid].window_caption = caption |
|---|
| 1973 | # set new caption |
|---|
| 1974 | self.window_caption = caption |
|---|
| 1975 | |
|---|
| 1976 | dial.Destroy() |
|---|
| 1977 | |
|---|
| 1978 | def onResetGraph(self, event): |
|---|
| 1979 | """ |
|---|
| 1980 | Reset the graph by plotting the full range of data |
|---|
| 1981 | """ |
|---|
| 1982 | list = [] |
|---|
| 1983 | list = self.graph.returnPlottable() |
|---|
| 1984 | for item in list: |
|---|
| 1985 | item.onReset() |
|---|
| 1986 | self.graph.render(self) |
|---|
| 1987 | self._onEVT_FUNC_PROPERTY(False) |
|---|
| 1988 | self.is_zoomed = False |
|---|
| 1989 | self.toolbar.update() |
|---|
| 1990 | |
|---|
| 1991 | def onPrinterSetup(self, event=None): |
|---|
| 1992 | """ |
|---|
| 1993 | """ |
|---|
| 1994 | self.canvas.Printer_Setup(event=event) |
|---|
| 1995 | self.Update() |
|---|
| 1996 | |
|---|
| 1997 | def onPrinterPreview(self, event=None): |
|---|
| 1998 | """ |
|---|
| 1999 | """ |
|---|
| 2000 | try: |
|---|
| 2001 | self.canvas.Printer_Preview(event=event) |
|---|
| 2002 | self.Update() |
|---|
| 2003 | except: |
|---|
| 2004 | pass |
|---|
| 2005 | |
|---|
| 2006 | def onPrint(self, event=None): |
|---|
| 2007 | """ |
|---|
| 2008 | """ |
|---|
| 2009 | try: |
|---|
| 2010 | self.canvas.Printer_Print(event=event) |
|---|
| 2011 | self.Update() |
|---|
| 2012 | except: |
|---|
| 2013 | pass |
|---|
| 2014 | |
|---|
| 2015 | def OnCopyFigureMenu(self, evt): |
|---|
| 2016 | """ |
|---|
| 2017 | Copy the current figure to clipboard |
|---|
| 2018 | """ |
|---|
| 2019 | try: |
|---|
| 2020 | CopyImage(self.canvas) |
|---|
| 2021 | except: |
|---|
| 2022 | print "Error in copy Image" |
|---|
| 2023 | |
|---|
| 2024 | |
|---|
| 2025 | #--------------------------------------------------------------- |
|---|
| 2026 | class NoRepaintCanvas(FigureCanvasWxAgg): |
|---|
| 2027 | """ |
|---|
| 2028 | We subclass FigureCanvasWxAgg, overriding the _onPaint method, so that |
|---|
| 2029 | the draw method is only called for the first two paint events. After that, |
|---|
| 2030 | the canvas will only be redrawn when it is resized. |
|---|
| 2031 | |
|---|
| 2032 | """ |
|---|
| 2033 | def __init__(self, *args, **kwargs): |
|---|
| 2034 | """ |
|---|
| 2035 | """ |
|---|
| 2036 | FigureCanvasWxAgg.__init__(self, *args, **kwargs) |
|---|
| 2037 | self._drawn = 0 |
|---|
| 2038 | |
|---|
| 2039 | def _onPaint(self, evt): |
|---|
| 2040 | """ |
|---|
| 2041 | Called when wxPaintEvt is generated |
|---|
| 2042 | |
|---|
| 2043 | """ |
|---|
| 2044 | if not self._isRealized: |
|---|
| 2045 | self.realize() |
|---|
| 2046 | if self._drawn < 2: |
|---|
| 2047 | self.draw(repaint=False) |
|---|
| 2048 | self._drawn += 1 |
|---|
| 2049 | self.gui_repaint(drawDC=wx.PaintDC(self)) |
|---|
