[a9d5684] | 1 | """ |
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[121f72c] | 2 | Plot panel. |
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[a9d5684] | 3 | """ |
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| 4 | import logging |
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[1170492] | 5 | import traceback |
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[a9d5684] | 6 | import wx |
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| 7 | # Try a normal import first |
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| 8 | # If it fails, try specifying a version |
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| 9 | import matplotlib |
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| 10 | matplotlib.interactive(False) |
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| 11 | #Use the WxAgg back end. The Wx one takes too long to render |
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| 12 | matplotlib.use('WXAgg') |
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| 13 | from matplotlib.backends.backend_wxagg import FigureCanvasWxAgg |
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| 14 | from matplotlib.figure import Figure |
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[cafa75f] | 15 | import os |
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| 16 | import transform |
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| 17 | #TODO: make the plottables interactive |
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| 18 | from binder import BindArtist |
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[a9d5684] | 19 | from matplotlib.font_manager import FontProperties |
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| 20 | DEBUG = False |
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| 21 | |
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[cafa75f] | 22 | from plottables import Graph |
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| 23 | from TextDialog import TextDialog |
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| 24 | from LabelDialog import LabelDialog |
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[a9d5684] | 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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[9a5097c] | 31 | import numpy as np |
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[a9d5684] | 32 | |
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[d85c194] | 33 | from sas.sasgui.guiframe.events import StatusEvent |
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[d3d67f0] | 34 | from .toolbar import NavigationToolBar, PlotPrintout, bind |
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[a9d5684] | 35 | |
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[463e7ffc] | 36 | logger = logging.getLogger(__name__) |
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[c155a16] | 37 | |
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[a9d5684] | 38 | def show_tree(obj, d=0): |
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| 39 | """Handy function for displaying a tree of graph objects""" |
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| 40 | print "%s%s" % ("-"*d, obj.__class__.__name__) |
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| 41 | if 'get_children' in dir(obj): |
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[121f72c] | 42 | for a in obj.get_children(): show_tree(a, d + 1) |
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| 43 | |
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[3477478] | 44 | from convert_units import convert_unit |
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[a9d5684] | 45 | |
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| 46 | |
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| 47 | def _rescale(lo, hi, step, pt=None, bal=None, scale='linear'): |
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[121f72c] | 48 | """ |
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[cafa75f] | 49 | Rescale (lo,hi) by step, returning the new (lo,hi) |
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| 50 | The scaling is centered on pt, with positive values of step |
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| 51 | driving lo/hi away from pt and negative values pulling them in. |
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| 52 | If bal is given instead of point, it is already in [0,1] coordinates. |
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[121f72c] | 53 | |
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[cafa75f] | 54 | This is a helper function for step-based zooming. |
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[121f72c] | 55 | |
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| 56 | """ |
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| 57 | # Convert values into the correct scale for a linear transformation |
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| 58 | # TODO: use proper scale transformers |
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| 59 | loprev = lo |
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| 60 | hiprev = hi |
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| 61 | if scale == 'log': |
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| 62 | assert lo > 0 |
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| 63 | if lo > 0: |
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| 64 | lo = math.log10(lo) |
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| 65 | if hi > 0: |
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| 66 | hi = math.log10(hi) |
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| 67 | if pt is not None: |
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| 68 | pt = math.log10(pt) |
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| 69 | |
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| 70 | # Compute delta from axis range * %, or 1-% if persent is negative |
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| 71 | if step > 0: |
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| 72 | delta = float(hi - lo) * step / 100 |
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| 73 | else: |
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| 74 | delta = float(hi - lo) * step / (100 - step) |
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| 75 | |
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| 76 | # Add scale factor proportionally to the lo and hi values, |
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| 77 | # preserving the |
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| 78 | # point under the mouse |
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| 79 | if bal is None: |
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| 80 | bal = float(pt - lo) / (hi - lo) |
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| 81 | lo = lo - (bal * delta) |
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| 82 | hi = hi + (1 - bal) * delta |
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| 83 | |
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| 84 | # Convert transformed values back to the original scale |
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| 85 | if scale == 'log': |
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| 86 | if (lo <= -250) or (hi >= 250): |
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| 87 | lo = loprev |
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| 88 | hi = hiprev |
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[eddb6ec] | 89 | else: |
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[121f72c] | 90 | lo, hi = math.pow(10., lo), math.pow(10., hi) |
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| 91 | return (lo, hi) |
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[a9d5684] | 92 | |
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| 93 | |
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| 94 | class PlotPanel(wx.Panel): |
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| 95 | """ |
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[121f72c] | 96 | The PlotPanel has a Figure and a Canvas. OnSize events simply set a |
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[a9d5684] | 97 | flag, and the actually redrawing of the |
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| 98 | figure is triggered by an Idle event. |
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| 99 | """ |
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| 100 | def __init__(self, parent, id=-1, xtransform=None, |
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[121f72c] | 101 | ytransform=None, scale='log_{10}', |
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| 102 | color=None, dpi=None, **kwargs): |
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[a9d5684] | 103 | """ |
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| 104 | """ |
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| 105 | wx.Panel.__init__(self, parent, id=id, **kwargs) |
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| 106 | self.parent = parent |
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| 107 | if hasattr(parent, "parent"): |
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| 108 | self.parent = self.parent.parent |
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| 109 | self.dimension = 1 |
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| 110 | self.gotLegend = 0 # to begin, legend is not picked. |
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| 111 | self.legend_pos_loc = None |
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| 112 | self.legend = None |
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| 113 | self.line_collections_list = [] |
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| 114 | self.figure = Figure(None, dpi, linewidth=2.0) |
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| 115 | self.color = '#b3b3b3' |
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[cafa75f] | 116 | from canvas import FigureCanvas |
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[a9d5684] | 117 | self.canvas = FigureCanvas(self, -1, self.figure) |
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| 118 | self.SetColor(color) |
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| 119 | self._resizeflag = True |
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| 120 | self._SetSize() |
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| 121 | self.subplot = self.figure.add_subplot(111) |
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| 122 | self.figure.subplots_adjust(left=0.2, bottom=.2) |
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| 123 | self.yscale = 'linear' |
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| 124 | self.xscale = 'linear' |
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| 125 | self.sizer = wx.BoxSizer(wx.VERTICAL) |
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| 126 | self.sizer.Add(self.canvas, 1, wx.EXPAND) |
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| 127 | #add toolbar |
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| 128 | self.enable_toolbar = True |
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| 129 | self.toolbar = None |
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| 130 | self.add_toolbar() |
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| 131 | self.SetSizer(self.sizer) |
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[121f72c] | 132 | |
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[a9d5684] | 133 | # Graph object to manage the plottables |
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| 134 | self.graph = Graph() |
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[121f72c] | 135 | |
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[a9d5684] | 136 | #Boolean value to keep track of whether current legend is |
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| 137 | #visible or not |
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| 138 | self.legend_on = True |
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| 139 | self.grid_on = False |
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| 140 | #Location of legend, default is 0 or 'best' |
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| 141 | self.legendLoc = 0 |
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| 142 | self.position = None |
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| 143 | self._loc_labels = self.get_loc_label() |
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[121f72c] | 144 | |
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[a9d5684] | 145 | self.Bind(wx.EVT_CONTEXT_MENU, self.onContextMenu) |
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[121f72c] | 146 | |
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[a9d5684] | 147 | # Define some constants |
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[121f72c] | 148 | self.colorlist = ['b', 'g', 'r', 'c', 'm', 'y', 'k'] |
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| 149 | self.symbollist = ['o', 'x', '^', 'v', '<', '>', '+', |
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| 150 | 's', 'd', 'D', 'h', 'H', 'p', '-'] |
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| 151 | |
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[a9d5684] | 152 | #List of texts currently on the plot |
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| 153 | self.textList = [] |
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[fa1cbee] | 154 | self.selectedText = None |
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[a9d5684] | 155 | #User scale |
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| 156 | if xtransform != None: |
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| 157 | self.xLabel = xtransform |
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| 158 | else: |
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| 159 | self.xLabel = "log10(x)" |
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| 160 | if ytransform != None: |
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| 161 | self.yLabel = ytransform |
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| 162 | else: |
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| 163 | self.yLabel = "log10(y)" |
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| 164 | self.viewModel = "--" |
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| 165 | # keep track if the previous transformation of x |
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| 166 | # and y in Property dialog |
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| 167 | self.prevXtrans = "log10(x)" |
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| 168 | self.prevYtrans = "log10(y)" |
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| 169 | self.scroll_id = self.canvas.mpl_connect('scroll_event', self.onWheel) |
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| 170 | #taking care of dragging |
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[121f72c] | 171 | self.motion_id = self.canvas.mpl_connect('motion_notify_event', |
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[a9d5684] | 172 | self.onMouseMotion) |
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[121f72c] | 173 | self.press_id = self.canvas.mpl_connect('button_press_event', |
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[a9d5684] | 174 | self.onLeftDown) |
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| 175 | self.pick_id = self.canvas.mpl_connect('pick_event', self.onPick) |
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[121f72c] | 176 | self.release_id = self.canvas.mpl_connect('button_release_event', |
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[a9d5684] | 177 | self.onLeftUp) |
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[121f72c] | 178 | |
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[a9d5684] | 179 | wx.EVT_RIGHT_DOWN(self, self.onLeftDown) |
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| 180 | # to turn axis off whenn resizing the panel |
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| 181 | self.resizing = False |
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[121f72c] | 182 | |
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[a9d5684] | 183 | self.leftdown = False |
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| 184 | self.leftup = False |
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| 185 | self.mousemotion = False |
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| 186 | self.axes = [self.subplot] |
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| 187 | ## Fit dialog |
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| 188 | self._fit_dialog = None |
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| 189 | # Interactor |
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| 190 | self.connect = BindArtist(self.subplot.figure) |
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| 191 | #self.selected_plottable = None |
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[121f72c] | 192 | |
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[a9d5684] | 193 | # new data for the fit |
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[2f12acc] | 194 | from sas.sasgui.guiframe.dataFitting import Data1D |
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[a9d5684] | 195 | self.fit_result = Data1D(x=[], y=[], dy=None) |
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| 196 | self.fit_result.symbol = 13 |
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| 197 | #self.fit_result = Data1D(x=[], y=[],dx=None, dy=None) |
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| 198 | self.fit_result.name = "Fit" |
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| 199 | # For fit Dialog initial display |
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| 200 | self.xmin = 0.0 |
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| 201 | self.xmax = 0.0 |
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| 202 | self.xminView = 0.0 |
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| 203 | self.xmaxView = 0.0 |
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| 204 | self._scale_xlo = None |
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| 205 | self._scale_xhi = None |
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| 206 | self._scale_ylo = None |
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| 207 | self._scale_yhi = None |
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| 208 | self.Avalue = None |
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| 209 | self.Bvalue = None |
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| 210 | self.ErrAvalue = None |
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| 211 | self.ErrBvalue = None |
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| 212 | self.Chivalue = None |
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[121f72c] | 213 | |
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[a9d5684] | 214 | # for 2D scale |
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| 215 | if scale != 'linear': |
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| 216 | scale = 'log_{10}' |
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| 217 | self.scale = scale |
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| 218 | self.data = None |
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| 219 | self.qx_data = None |
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| 220 | self.qy_data = None |
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| 221 | self.xmin_2D = None |
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| 222 | self.xmax_2D = None |
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| 223 | self.ymin_2D = None |
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| 224 | self.ymax_2D = None |
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| 225 | ## store reference to the current plotted vmin and vmax of plotted image |
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| 226 | ##z range in linear scale |
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| 227 | self.zmin_2D = None |
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| 228 | self.zmax_2D = None |
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[121f72c] | 229 | |
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[a9d5684] | 230 | #index array |
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| 231 | self.index_x = None |
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| 232 | self.index_y = None |
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[121f72c] | 233 | |
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[a9d5684] | 234 | #number of bins |
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| 235 | self.x_bins = None |
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| 236 | self.y_bins = None |
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[121f72c] | 237 | |
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[a9d5684] | 238 | ## default color map |
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| 239 | self.cmap = DEFAULT_CMAP |
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[121f72c] | 240 | |
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[a9d5684] | 241 | # Dragging info |
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| 242 | self.begDrag = False |
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| 243 | self.xInit = None |
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| 244 | self.yInit = None |
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| 245 | self.xFinal = None |
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| 246 | self.yFinal = None |
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[121f72c] | 247 | |
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[a9d5684] | 248 | #axes properties |
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| 249 | self.xaxis_font = None |
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| 250 | self.xaxis_label = None |
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| 251 | self.xaxis_unit = None |
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| 252 | self.xaxis_color = 'black' |
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| 253 | self.xaxis_tick = None |
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| 254 | self.yaxis_font = None |
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| 255 | self.yaxis_label = None |
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| 256 | self.yaxis_unit = None |
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| 257 | self.yaxis_color = 'black' |
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| 258 | self.yaxis_tick = None |
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[121f72c] | 259 | |
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[a9d5684] | 260 | # check if zoomed. |
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| 261 | self.is_zoomed = False |
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| 262 | # Plottables |
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| 263 | self.plots = {} |
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[121f72c] | 264 | |
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[a9d5684] | 265 | # Default locations |
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| 266 | self._default_save_location = os.getcwd() |
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| 267 | # let canvas know about axes |
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| 268 | self.canvas.set_panel(self) |
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| 269 | self.ly = None |
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| 270 | self.q_ctrl = None |
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| 271 | #Bind focus to change the border color |
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| 272 | self.canvas.Bind(wx.EVT_SET_FOCUS, self.on_set_focus) |
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| 273 | self.canvas.Bind(wx.EVT_KILL_FOCUS, self.on_kill_focus) |
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| 274 | |
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| 275 | def _SetInitialSize(self,): |
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| 276 | """ |
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| 277 | """ |
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| 278 | pixels = self.parent.GetClientSize() |
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| 279 | self.canvas.SetSize(pixels) |
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| 280 | self.figure.set_size_inches(pixels[0] / self.figure.get_dpi(), |
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[121f72c] | 281 | pixels[1] / self.figure.get_dpi(), forward=True) |
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| 282 | |
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[a9d5684] | 283 | def On_Paint(self, event): |
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| 284 | """ |
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| 285 | """ |
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| 286 | self.canvas.SetBackgroundColour(self.color) |
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| 287 | |
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| 288 | def on_set_focus(self, event): |
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| 289 | """ |
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| 290 | Send to the parenet the current panel on focus |
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| 291 | """ |
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| 292 | # light blue |
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| 293 | self.color = '#0099f7' |
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| 294 | self.figure.set_edgecolor(self.color) |
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| 295 | if self.parent and self.window_caption: |
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| 296 | self.parent.send_focus_to_datapanel(self.window_caption) |
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| 297 | self.draw() |
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[121f72c] | 298 | |
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[a9d5684] | 299 | def on_kill_focus(self, event): |
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| 300 | """ |
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| 301 | Reset the panel color |
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| 302 | """ |
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| 303 | # light grey |
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| 304 | self.color = '#b3b3b3' |
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| 305 | self.figure.set_edgecolor(self.color) |
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| 306 | self.draw() |
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[121f72c] | 307 | |
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[a9d5684] | 308 | def set_resizing(self, resizing=False): |
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| 309 | """ |
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| 310 | Set the resizing (True/False) |
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| 311 | """ |
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| 312 | pass # Not implemented |
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[121f72c] | 313 | |
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[a9d5684] | 314 | def schedule_full_draw(self, func='append'): |
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| 315 | """ |
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| 316 | Put self in schedule to full redraw list |
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| 317 | """ |
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| 318 | pass # Not implemented |
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[121f72c] | 319 | |
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[a9d5684] | 320 | def add_toolbar(self): |
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| 321 | """ |
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| 322 | add toolbar |
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| 323 | """ |
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| 324 | self.enable_toolbar = True |
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| 325 | self.toolbar = NavigationToolBar(parent=self, canvas=self.canvas) |
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[d3d67f0] | 326 | bind(self.toolbar, wx.EVT_TOOL, self.onResetGraph, id=self.toolbar._NTB2_RESET) |
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| 327 | bind(self.toolbar, wx.EVT_TOOL, self.onContextMenu, id=self.toolbar._NTB2_HOME) |
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[a9d5684] | 328 | self.toolbar.Realize() |
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| 329 | ## The 'SetToolBar()' is not working on MAC: JHC |
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| 330 | #if IS_MAC: |
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| 331 | # Mac platform (OSX 10.3, MacPython) does not seem to cope with |
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| 332 | # having a toolbar in a sizer. This work-around gets the buttons |
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| 333 | # back, but at the expense of having the toolbar at the top |
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| 334 | #self.SetToolBar(self.toolbar) |
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| 335 | #else: |
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| 336 | # On Windows platform, default window size is incorrect, so set |
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| 337 | # toolbar width to figure width. |
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| 338 | tw, th = self.toolbar.GetSizeTuple() |
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| 339 | fw, fh = self.canvas.GetSizeTuple() |
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| 340 | # By adding toolbar in sizer, we are able to put it at the bottom |
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| 341 | # of the frame - so appearance is closer to GTK version. |
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| 342 | # As noted above, doesn't work for Mac. |
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| 343 | self.toolbar.SetSize(wx.Size(fw, th)) |
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| 344 | self.sizer.Add(self.toolbar, 0, wx.LEFT | wx.EXPAND) |
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[121f72c] | 345 | |
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[a9d5684] | 346 | # update the axes menu on the toolbar |
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| 347 | self.toolbar.update() |
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[121f72c] | 348 | |
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[a9d5684] | 349 | def onLeftDown(self, event): |
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| 350 | """ |
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| 351 | left button down and ready to drag |
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| 352 | """ |
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| 353 | # Check that the LEFT button was pressed |
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| 354 | if event.button == 1: |
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| 355 | self.leftdown = True |
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| 356 | ax = event.inaxes |
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[fa1cbee] | 357 | for text in self.textList: |
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| 358 | if text.contains(event)[0]: # If user has clicked on text |
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| 359 | self.selectedText = text |
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| 360 | return |
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| 361 | |
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[a9d5684] | 362 | if ax != None: |
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| 363 | self.xInit, self.yInit = event.xdata, event.ydata |
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| 364 | try: |
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| 365 | pos_x = float(event.xdata) # / size_x |
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| 366 | pos_y = float(event.ydata) # / size_y |
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| 367 | pos_x = "%8.3g" % pos_x |
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| 368 | pos_y = "%8.3g" % pos_y |
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| 369 | self.position = str(pos_x), str(pos_y) |
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| 370 | wx.PostEvent(self.parent, StatusEvent(status=self.position)) |
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| 371 | except: |
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| 372 | self.position = None |
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| 373 | |
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| 374 | def onLeftUp(self, event): |
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| 375 | """ |
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| 376 | Dragging is done |
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| 377 | """ |
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| 378 | # Check that the LEFT button was released |
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| 379 | if event.button == 1: |
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| 380 | self.leftdown = False |
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| 381 | self.mousemotion = False |
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| 382 | self.leftup = True |
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[fa1cbee] | 383 | self.selectedText = None |
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[121f72c] | 384 | |
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[a9d5684] | 385 | #release the legend |
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| 386 | if self.gotLegend == 1: |
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| 387 | self.gotLegend = 0 |
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| 388 | self.set_legend_alpha(1) |
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[121f72c] | 389 | |
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[a9d5684] | 390 | def set_legend_alpha(self, alpha=1): |
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| 391 | """ |
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| 392 | Set legend alpha |
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| 393 | """ |
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| 394 | if self.legend != None: |
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| 395 | self.legend.legendPatch.set_alpha(alpha) |
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[121f72c] | 396 | |
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[a9d5684] | 397 | def onPick(self, event): |
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| 398 | """ |
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| 399 | On pick legend |
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| 400 | """ |
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| 401 | legend = self.legend |
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| 402 | if event.artist == legend: |
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| 403 | #gets the box of the legend. |
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| 404 | bbox = self.legend.get_window_extent() |
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| 405 | #get mouse coordinates at time of pick. |
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| 406 | self.mouse_x = event.mouseevent.x |
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| 407 | self.mouse_y = event.mouseevent.y |
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| 408 | #get legend coordinates at time of pick. |
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| 409 | self.legend_x = bbox.xmin |
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| 410 | self.legend_y = bbox.ymin |
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| 411 | #indicates we picked up the legend. |
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| 412 | self.gotLegend = 1 |
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| 413 | self.set_legend_alpha(0.5) |
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[121f72c] | 414 | |
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[a9d5684] | 415 | def _on_legend_motion(self, event): |
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| 416 | """ |
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| 417 | On legend in motion |
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| 418 | """ |
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| 419 | ax = event.inaxes |
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| 420 | if ax == None: |
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| 421 | return |
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| 422 | # Event occurred inside a plotting area |
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| 423 | lo_x, hi_x = ax.get_xlim() |
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| 424 | lo_y, hi_y = ax.get_ylim() |
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| 425 | # How much the mouse moved. |
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| 426 | x = mouse_diff_x = self.mouse_x - event.x |
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| 427 | y = mouse_diff_y = self.mouse_y - event.y |
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| 428 | # Put back inside |
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| 429 | if x < lo_x: |
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| 430 | x = lo_x |
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| 431 | if x > hi_x: |
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| 432 | x = hi_x |
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| 433 | if y < lo_y: |
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| 434 | y = lo_y |
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| 435 | if y > hi_y: |
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| 436 | y = hi_y |
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| 437 | # Move the legend from its previous location by that same amount |
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| 438 | loc_in_canvas = self.legend_x - mouse_diff_x, \ |
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| 439 | self.legend_y - mouse_diff_y |
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| 440 | # Transform into legend coordinate system |
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| 441 | trans_axes = self.legend.parent.transAxes.inverted() |
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| 442 | loc_in_norm_axes = trans_axes.transform_point(loc_in_canvas) |
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| 443 | self.legend_pos_loc = tuple(loc_in_norm_axes) |
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| 444 | self.legend._loc = self.legend_pos_loc |
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| 445 | self.resizing = True |
---|
| 446 | self.canvas.set_resizing(self.resizing) |
---|
| 447 | self.canvas.draw() |
---|
[121f72c] | 448 | |
---|
[a9d5684] | 449 | def onMouseMotion(self, event): |
---|
| 450 | """ |
---|
| 451 | check if the left button is press and the mouse in moving. |
---|
| 452 | computer delta for x and y coordinates and then calls draghelper |
---|
| 453 | to perform the drag |
---|
| 454 | """ |
---|
| 455 | self.cusor_line(event) |
---|
[198fa76] | 456 | if self.gotLegend == 1 and self.leftdown: |
---|
[a9d5684] | 457 | self._on_legend_motion(event) |
---|
| 458 | return |
---|
[fa1cbee] | 459 | |
---|
| 460 | if self.leftdown and self.selectedText is not None: |
---|
| 461 | # User has clicked on text and is dragging |
---|
| 462 | ax = event.inaxes |
---|
| 463 | if ax != None: |
---|
| 464 | # Only move text if mouse is within axes |
---|
| 465 | self.selectedText.set_position((event.xdata, event.ydata)) |
---|
| 466 | self._dragHelper(0, 0) |
---|
| 467 | else: |
---|
| 468 | # User has dragged outside of axes |
---|
| 469 | self.selectedText = None |
---|
| 470 | return |
---|
| 471 | |
---|
[a9d5684] | 472 | if self.enable_toolbar: |
---|
| 473 | #Disable dragging without the toolbar to allow zooming with toolbar |
---|
| 474 | return |
---|
| 475 | self.mousemotion = True |
---|
| 476 | if self.leftdown == True and self.mousemotion == True: |
---|
| 477 | ax = event.inaxes |
---|
| 478 | if ax != None: # the dragging is perform inside the figure |
---|
| 479 | self.xFinal, self.yFinal = event.xdata, event.ydata |
---|
| 480 | # Check whether this is the first point |
---|
| 481 | if self.xInit == None: |
---|
| 482 | self.xInit = self.xFinal |
---|
| 483 | self.yInit = self.yFinal |
---|
[121f72c] | 484 | |
---|
[a9d5684] | 485 | xdelta = self.xFinal - self.xInit |
---|
| 486 | ydelta = self.yFinal - self.yInit |
---|
[121f72c] | 487 | |
---|
[a9d5684] | 488 | if self.xscale == 'log': |
---|
| 489 | xdelta = math.log10(self.xFinal) - math.log10(self.xInit) |
---|
| 490 | if self.yscale == 'log': |
---|
| 491 | ydelta = math.log10(self.yFinal) - math.log10(self.yInit) |
---|
| 492 | self._dragHelper(xdelta, ydelta) |
---|
| 493 | else: # no dragging is perform elsewhere |
---|
| 494 | self._dragHelper(0, 0) |
---|
| 495 | |
---|
| 496 | def cusor_line(self, event): |
---|
| 497 | """ |
---|
| 498 | """ |
---|
| 499 | pass |
---|
| 500 | |
---|
| 501 | def _offset_graph(self): |
---|
| 502 | """ |
---|
| 503 | Zoom and offset the graph to the last known settings |
---|
| 504 | """ |
---|
| 505 | for ax in self.axes: |
---|
| 506 | if self._scale_xhi is not None and self._scale_xlo is not None: |
---|
| 507 | ax.set_xlim(self._scale_xlo, self._scale_xhi) |
---|
| 508 | if self._scale_yhi is not None and self._scale_ylo is not None: |
---|
| 509 | ax.set_ylim(self._scale_ylo, self._scale_yhi) |
---|
[121f72c] | 510 | |
---|
[a9d5684] | 511 | def _dragHelper(self, xdelta, ydelta): |
---|
| 512 | """ |
---|
| 513 | dragging occurs here |
---|
| 514 | """ |
---|
| 515 | # Event occurred inside a plotting area |
---|
| 516 | for ax in self.axes: |
---|
| 517 | lo, hi = ax.get_xlim() |
---|
| 518 | newlo, newhi = lo - xdelta, hi - xdelta |
---|
| 519 | if self.xscale == 'log': |
---|
| 520 | if lo > 0: |
---|
| 521 | newlo = math.log10(lo) - xdelta |
---|
| 522 | if hi > 0: |
---|
| 523 | newhi = math.log10(hi) - xdelta |
---|
| 524 | if self.xscale == 'log': |
---|
| 525 | self._scale_xlo = math.pow(10, newlo) |
---|
| 526 | self._scale_xhi = math.pow(10, newhi) |
---|
| 527 | ax.set_xlim(math.pow(10, newlo), math.pow(10, newhi)) |
---|
| 528 | else: |
---|
| 529 | self._scale_xlo = newlo |
---|
| 530 | self._scale_xhi = newhi |
---|
| 531 | ax.set_xlim(newlo, newhi) |
---|
[121f72c] | 532 | |
---|
[a9d5684] | 533 | lo, hi = ax.get_ylim() |
---|
| 534 | newlo, newhi = lo - ydelta, hi - ydelta |
---|
| 535 | if self.yscale == 'log': |
---|
| 536 | if lo > 0: |
---|
| 537 | newlo = math.log10(lo) - ydelta |
---|
| 538 | if hi > 0: |
---|
| 539 | newhi = math.log10(hi) - ydelta |
---|
| 540 | if self.yscale == 'log': |
---|
| 541 | self._scale_ylo = math.pow(10, newlo) |
---|
| 542 | self._scale_yhi = math.pow(10, newhi) |
---|
| 543 | ax.set_ylim(math.pow(10, newlo), math.pow(10, newhi)) |
---|
| 544 | else: |
---|
| 545 | self._scale_ylo = newlo |
---|
| 546 | self._scale_yhi = newhi |
---|
| 547 | ax.set_ylim(newlo, newhi) |
---|
| 548 | self.canvas.draw_idle() |
---|
| 549 | |
---|
| 550 | def resetFitView(self): |
---|
| 551 | """ |
---|
| 552 | For fit Dialog initial display |
---|
| 553 | """ |
---|
| 554 | self.xmin = 0.0 |
---|
| 555 | self.xmax = 0.0 |
---|
| 556 | self.xminView = 0.0 |
---|
| 557 | self.xmaxView = 0.0 |
---|
| 558 | self._scale_xlo = None |
---|
| 559 | self._scale_xhi = None |
---|
| 560 | self._scale_ylo = None |
---|
| 561 | self._scale_yhi = None |
---|
| 562 | self.Avalue = None |
---|
| 563 | self.Bvalue = None |
---|
| 564 | self.ErrAvalue = None |
---|
| 565 | self.ErrBvalue = None |
---|
| 566 | self.Chivalue = None |
---|
[121f72c] | 567 | |
---|
[a9d5684] | 568 | def onWheel(self, event): |
---|
| 569 | """ |
---|
| 570 | Process mouse wheel as zoom events |
---|
[121f72c] | 571 | |
---|
[a9d5684] | 572 | :param event: Wheel event |
---|
[121f72c] | 573 | |
---|
[a9d5684] | 574 | """ |
---|
| 575 | ax = event.inaxes |
---|
| 576 | step = event.step |
---|
| 577 | |
---|
| 578 | if ax != None: |
---|
| 579 | # Event occurred inside a plotting area |
---|
| 580 | lo, hi = ax.get_xlim() |
---|
| 581 | lo, hi = _rescale(lo, hi, step, |
---|
[121f72c] | 582 | pt=event.xdata, scale=ax.get_xscale()) |
---|
[a9d5684] | 583 | if not self.xscale == 'log' or lo > 0: |
---|
| 584 | self._scale_xlo = lo |
---|
| 585 | self._scale_xhi = hi |
---|
[121f72c] | 586 | ax.set_xlim((lo, hi)) |
---|
[a9d5684] | 587 | |
---|
| 588 | lo, hi = ax.get_ylim() |
---|
| 589 | lo, hi = _rescale(lo, hi, step, pt=event.ydata, |
---|
[121f72c] | 590 | scale=ax.get_yscale()) |
---|
[a9d5684] | 591 | if not self.yscale == 'log' or lo > 0: |
---|
| 592 | self._scale_ylo = lo |
---|
| 593 | self._scale_yhi = hi |
---|
| 594 | ax.set_ylim((lo, hi)) |
---|
| 595 | else: |
---|
| 596 | # Check if zoom happens in the axes |
---|
| 597 | xdata, ydata = None, None |
---|
| 598 | x, y = event.x, event.y |
---|
[121f72c] | 599 | |
---|
[a9d5684] | 600 | for ax in self.axes: |
---|
| 601 | insidex, _ = ax.xaxis.contains(event) |
---|
| 602 | if insidex: |
---|
| 603 | xdata, _ = ax.transAxes.inverted().transform_point((x, y)) |
---|
| 604 | insidey, _ = ax.yaxis.contains(event) |
---|
| 605 | if insidey: |
---|
| 606 | _, ydata = ax.transAxes.inverted().transform_point((x, y)) |
---|
| 607 | if xdata is not None: |
---|
| 608 | lo, hi = ax.get_xlim() |
---|
| 609 | lo, hi = _rescale(lo, hi, step, |
---|
| 610 | bal=xdata, scale=ax.get_xscale()) |
---|
| 611 | if not self.xscale == 'log' or lo > 0: |
---|
| 612 | self._scale_xlo = lo |
---|
| 613 | self._scale_xhi = hi |
---|
| 614 | ax.set_xlim((lo, hi)) |
---|
| 615 | if ydata is not None: |
---|
| 616 | lo, hi = ax.get_ylim() |
---|
| 617 | lo, hi = _rescale(lo, hi, step, bal=ydata, |
---|
| 618 | scale=ax.get_yscale()) |
---|
| 619 | if not self.yscale == 'log' or lo > 0: |
---|
| 620 | self._scale_ylo = lo |
---|
| 621 | self._scale_yhi = hi |
---|
| 622 | ax.set_ylim((lo, hi)) |
---|
| 623 | self.canvas.draw_idle() |
---|
| 624 | |
---|
| 625 | def returnTrans(self): |
---|
| 626 | """ |
---|
| 627 | Return values and labels used by Fit Dialog |
---|
| 628 | """ |
---|
[121f72c] | 629 | return self.xLabel, self.yLabel, self.Avalue, self.Bvalue, \ |
---|
[a9d5684] | 630 | self.ErrAvalue, self.ErrBvalue, self.Chivalue |
---|
[121f72c] | 631 | |
---|
[a9d5684] | 632 | def setTrans(self, xtrans, ytrans): |
---|
| 633 | """ |
---|
[121f72c] | 634 | |
---|
[a9d5684] | 635 | :param xtrans: set x transformation on Property dialog |
---|
| 636 | :param ytrans: set y transformation on Property dialog |
---|
[121f72c] | 637 | |
---|
[a9d5684] | 638 | """ |
---|
| 639 | self.prevXtrans = xtrans |
---|
| 640 | self.prevYtrans = ytrans |
---|
[121f72c] | 641 | |
---|
[a9d5684] | 642 | def onFitting(self, event): |
---|
| 643 | """ |
---|
| 644 | when clicking on linear Fit on context menu , display Fitting Dialog |
---|
| 645 | """ |
---|
[098f3d2] | 646 | plot_dict = {} |
---|
[a9d5684] | 647 | menu = event.GetEventObject() |
---|
[098f3d2] | 648 | event_id = event.GetId() |
---|
| 649 | self.set_selected_from_menu(menu, event_id) |
---|
[a9d5684] | 650 | plotlist = self.graph.returnPlottable() |
---|
| 651 | if self.graph.selected_plottable is not None: |
---|
| 652 | for item in plotlist: |
---|
| 653 | if item.id == self.graph.selected_plottable: |
---|
[098f3d2] | 654 | plot_dict[item] = plotlist[item] |
---|
[a9d5684] | 655 | else: |
---|
[098f3d2] | 656 | plot_dict = plotlist |
---|
[a9d5684] | 657 | from fitDialog import LinearFit |
---|
[121f72c] | 658 | |
---|
[098f3d2] | 659 | if len(plot_dict.keys()) > 0: |
---|
| 660 | first_item = plot_dict.keys()[0] |
---|
[a9d5684] | 661 | dlg = LinearFit(parent=None, plottable=first_item, |
---|
| 662 | push_data=self.onFitDisplay, |
---|
| 663 | transform=self.returnTrans, |
---|
| 664 | title='Linear Fit') |
---|
[121f72c] | 665 | |
---|
[a9d5684] | 666 | if (self.xmin != 0.0)and (self.xmax != 0.0)\ |
---|
| 667 | and(self.xminView != 0.0)and (self.xmaxView != 0.0): |
---|
| 668 | dlg.setFitRange(self.xminView, self.xmaxView, |
---|
| 669 | self.xmin, self.xmax) |
---|
[1a8e2e8e] | 670 | else: |
---|
| 671 | xlim = self.subplot.get_xlim() |
---|
| 672 | ylim = self.subplot.get_ylim() |
---|
| 673 | dlg.setFitRange(xlim[0], xlim[1], ylim[0], ylim[1]) |
---|
[dd5bf63] | 674 | # It would be nice for this to NOT be modal (i.e. Show). |
---|
| 675 | # Not sure about other ramifications - for example |
---|
| 676 | # if a second linear fit is started before the first is closed. |
---|
| 677 | # consider for future - being able to work on the plot while |
---|
| 678 | # seing the fit values would be very nice -- PDB 7/10/16 |
---|
[a9d5684] | 679 | dlg.ShowModal() |
---|
[121f72c] | 680 | |
---|
[a9d5684] | 681 | def set_selected_from_menu(self, menu, id): |
---|
| 682 | """ |
---|
| 683 | Set selected_plottable from context menu selection |
---|
[121f72c] | 684 | |
---|
[a9d5684] | 685 | :param menu: context menu item |
---|
| 686 | :param id: menu item id |
---|
| 687 | """ |
---|
| 688 | if len(self.plots) < 1: |
---|
| 689 | return |
---|
| 690 | name = menu.GetHelpString(id) |
---|
| 691 | for plot in self.plots.values(): |
---|
| 692 | if plot.name == name: |
---|
| 693 | self.graph.selected_plottable = plot.id |
---|
| 694 | break |
---|
[121f72c] | 695 | |
---|
[a9d5684] | 696 | def linear_plottable_fit(self, plot): |
---|
| 697 | """ |
---|
| 698 | when clicking on linear Fit on context menu, display Fitting Dialog |
---|
[121f72c] | 699 | |
---|
[a9d5684] | 700 | :param plot: PlotPanel owning the graph |
---|
[121f72c] | 701 | |
---|
[a9d5684] | 702 | """ |
---|
| 703 | from fitDialog import LinearFit |
---|
| 704 | if self._fit_dialog is not None: |
---|
| 705 | return |
---|
| 706 | self._fit_dialog = LinearFit(None, plot, self.onFitDisplay, |
---|
[121f72c] | 707 | self.returnTrans, -1, 'Linear Fit') |
---|
| 708 | # Set the zoom area |
---|
[a9d5684] | 709 | if self._scale_xhi is not None and self._scale_xlo is not None: |
---|
| 710 | self._fit_dialog.set_fit_region(self._scale_xlo, self._scale_xhi) |
---|
| 711 | # Register the close event |
---|
| 712 | self._fit_dialog.register_close(self._linear_fit_close) |
---|
| 713 | # Show a non-model dialog |
---|
| 714 | self._fit_dialog.Show() |
---|
| 715 | |
---|
| 716 | def _linear_fit_close(self): |
---|
| 717 | """ |
---|
| 718 | A fit dialog was closed |
---|
| 719 | """ |
---|
| 720 | self._fit_dialog = None |
---|
[121f72c] | 721 | |
---|
[a9d5684] | 722 | def _onProperties(self, event): |
---|
| 723 | """ |
---|
| 724 | when clicking on Properties on context menu , |
---|
| 725 | The Property dialog is displayed |
---|
| 726 | The user selects a transformation for x or y value and |
---|
| 727 | a new plot is displayed |
---|
| 728 | """ |
---|
| 729 | if self._fit_dialog is not None: |
---|
| 730 | self._fit_dialog.Destroy() |
---|
| 731 | self._fit_dialog = None |
---|
[121f72c] | 732 | plot_list = self.graph.returnPlottable() |
---|
| 733 | if len(plot_list.keys()) > 0: |
---|
| 734 | first_item = plot_list.keys()[0] |
---|
[a9d5684] | 735 | if first_item.x != []: |
---|
| 736 | from PropertyDialog import Properties |
---|
| 737 | dial = Properties(self, -1, 'Properties') |
---|
| 738 | dial.setValues(self.prevXtrans, self.prevYtrans, self.viewModel) |
---|
| 739 | if dial.ShowModal() == wx.ID_OK: |
---|
| 740 | self.xLabel, self.yLabel, self.viewModel = dial.getValues() |
---|
| 741 | self._onEVT_FUNC_PROPERTY() |
---|
| 742 | dial.Destroy() |
---|
[121f72c] | 743 | |
---|
[a9d5684] | 744 | def set_yscale(self, scale='linear'): |
---|
| 745 | """ |
---|
| 746 | Set the scale on Y-axis |
---|
[121f72c] | 747 | |
---|
[a9d5684] | 748 | :param scale: the scale of y-axis |
---|
[121f72c] | 749 | |
---|
[a9d5684] | 750 | """ |
---|
| 751 | self.subplot.set_yscale(scale, nonposy='clip') |
---|
| 752 | self.yscale = scale |
---|
[121f72c] | 753 | |
---|
[a9d5684] | 754 | def get_yscale(self): |
---|
| 755 | """ |
---|
[121f72c] | 756 | |
---|
[a9d5684] | 757 | :return: Y-axis scale |
---|
[121f72c] | 758 | |
---|
[a9d5684] | 759 | """ |
---|
| 760 | return self.yscale |
---|
[121f72c] | 761 | |
---|
[a9d5684] | 762 | def set_xscale(self, scale='linear'): |
---|
| 763 | """ |
---|
| 764 | Set the scale on x-axis |
---|
[121f72c] | 765 | |
---|
[a9d5684] | 766 | :param scale: the scale of x-axis |
---|
[121f72c] | 767 | |
---|
[a9d5684] | 768 | """ |
---|
| 769 | self.subplot.set_xscale(scale) |
---|
| 770 | self.xscale = scale |
---|
[121f72c] | 771 | |
---|
[a9d5684] | 772 | def get_xscale(self): |
---|
| 773 | """ |
---|
[121f72c] | 774 | |
---|
[a9d5684] | 775 | :return: x-axis scale |
---|
[121f72c] | 776 | |
---|
[a9d5684] | 777 | """ |
---|
| 778 | return self.xscale |
---|
| 779 | |
---|
| 780 | def SetColor(self, rgbtuple): |
---|
| 781 | """ |
---|
| 782 | Set figure and canvas colours to be the same |
---|
[121f72c] | 783 | |
---|
[a9d5684] | 784 | """ |
---|
| 785 | if not rgbtuple: |
---|
| 786 | rgbtuple = wx.SystemSettings.GetColour(wx.SYS_COLOUR_BTNFACE).Get() |
---|
[121f72c] | 787 | col = [c / 255.0 for c in rgbtuple] |
---|
[a9d5684] | 788 | self.figure.set_facecolor(col) |
---|
| 789 | self.figure.set_edgecolor(self.color) |
---|
| 790 | self.canvas.SetBackgroundColour(wx.Colour(*rgbtuple)) |
---|
| 791 | |
---|
| 792 | def _onSize(self, event): |
---|
| 793 | """ |
---|
| 794 | """ |
---|
| 795 | self._resizeflag = True |
---|
| 796 | |
---|
| 797 | def _onIdle(self, evt): |
---|
| 798 | """ |
---|
| 799 | """ |
---|
| 800 | if self._resizeflag: |
---|
| 801 | self._resizeflag = False |
---|
| 802 | self._SetSize() |
---|
| 803 | self.draw() |
---|
| 804 | |
---|
| 805 | def _SetSize(self, pixels=None): |
---|
| 806 | """ |
---|
| 807 | This method can be called to force the Plot to be a desired size, |
---|
| 808 | which defaults to the ClientSize of the panel |
---|
[121f72c] | 809 | |
---|
[a9d5684] | 810 | """ |
---|
| 811 | if not pixels: |
---|
| 812 | pixels = tuple(self.GetClientSize()) |
---|
| 813 | self.canvas.SetSize(pixels) |
---|
| 814 | self.figure.set_size_inches(float(pixels[0]) / self.figure.get_dpi(), |
---|
| 815 | float(pixels[1]) / self.figure.get_dpi()) |
---|
| 816 | |
---|
| 817 | def draw(self): |
---|
| 818 | """ |
---|
| 819 | Where the actual drawing happens |
---|
[121f72c] | 820 | |
---|
[a9d5684] | 821 | """ |
---|
| 822 | self.figure.canvas.draw_idle() |
---|
[121f72c] | 823 | |
---|
[a9d5684] | 824 | def legend_picker(self, legend, event): |
---|
| 825 | """ |
---|
| 826 | Pick up the legend patch |
---|
| 827 | """ |
---|
| 828 | return self.legend.legendPatch.contains(event) |
---|
[121f72c] | 829 | |
---|
[a9d5684] | 830 | def get_loc_label(self): |
---|
| 831 | """ |
---|
| 832 | Associates label to a specific legend location |
---|
| 833 | """ |
---|
| 834 | _labels = {} |
---|
| 835 | i = 0 |
---|
| 836 | _labels['best'] = i |
---|
| 837 | i += 1 |
---|
| 838 | _labels['upper right'] = i |
---|
| 839 | i += 1 |
---|
| 840 | _labels['upper left'] = i |
---|
| 841 | i += 1 |
---|
| 842 | _labels['lower left'] = i |
---|
| 843 | i += 1 |
---|
| 844 | _labels['lower right'] = i |
---|
| 845 | i += 1 |
---|
| 846 | _labels['right'] = i |
---|
| 847 | i += 1 |
---|
| 848 | _labels['center left'] = i |
---|
| 849 | i += 1 |
---|
| 850 | _labels['center right'] = i |
---|
| 851 | i += 1 |
---|
| 852 | _labels['lower center'] = i |
---|
| 853 | i += 1 |
---|
| 854 | _labels['upper center'] = i |
---|
| 855 | i += 1 |
---|
| 856 | _labels['center'] = i |
---|
| 857 | return _labels |
---|
[121f72c] | 858 | |
---|
[a9d5684] | 859 | def onSaveImage(self, evt): |
---|
| 860 | """ |
---|
| 861 | Implement save image |
---|
| 862 | """ |
---|
[1170492] | 863 | self.toolbar.save_figure(evt) |
---|
[121f72c] | 864 | |
---|
[a9d5684] | 865 | def onContextMenu(self, event): |
---|
| 866 | """ |
---|
| 867 | Default context menu for a plot panel |
---|
[121f72c] | 868 | |
---|
[a9d5684] | 869 | """ |
---|
| 870 | # Slicer plot popup menu |
---|
[098f3d2] | 871 | wx_id = wx.NewId() |
---|
[a9d5684] | 872 | slicerpop = wx.Menu() |
---|
[098f3d2] | 873 | slicerpop.Append(wx_id, '&Save image', 'Save image as PNG') |
---|
| 874 | wx.EVT_MENU(self, wx_id, self.onSaveImage) |
---|
[121f72c] | 875 | |
---|
[098f3d2] | 876 | wx_id = wx.NewId() |
---|
| 877 | slicerpop.Append(wx_id, '&Printer setup', 'Set image size') |
---|
| 878 | wx.EVT_MENU(self, wx_id, self.onPrinterSetup) |
---|
[121f72c] | 879 | |
---|
[098f3d2] | 880 | wx_id = wx.NewId() |
---|
| 881 | slicerpop.Append(wx_id, '&Print image', 'Print image ') |
---|
| 882 | wx.EVT_MENU(self, wx_id, self.onPrint) |
---|
[121f72c] | 883 | |
---|
[098f3d2] | 884 | wx_id = wx.NewId() |
---|
| 885 | slicerpop.Append(wx_id, '&Copy', 'Copy to the clipboard') |
---|
| 886 | wx.EVT_MENU(self, wx_id, self.OnCopyFigureMenu) |
---|
[121f72c] | 887 | |
---|
[098f3d2] | 888 | wx_id = wx.NewId() |
---|
[a9d5684] | 889 | slicerpop.AppendSeparator() |
---|
[098f3d2] | 890 | slicerpop.Append(wx_id, '&Properties') |
---|
| 891 | wx.EVT_MENU(self, wx_id, self._onProperties) |
---|
[121f72c] | 892 | |
---|
[098f3d2] | 893 | wx_id = wx.NewId() |
---|
[a9d5684] | 894 | slicerpop.AppendSeparator() |
---|
[098f3d2] | 895 | slicerpop.Append(wx_id, '&Linear Fit') |
---|
| 896 | wx.EVT_MENU(self, wx_id, self.onFitting) |
---|
[121f72c] | 897 | |
---|
[098f3d2] | 898 | wx_id = wx.NewId() |
---|
[a9d5684] | 899 | slicerpop.AppendSeparator() |
---|
[098f3d2] | 900 | slicerpop.Append(wx_id, '&Toggle Legend On/Off', 'Toggle Legend On/Off') |
---|
| 901 | wx.EVT_MENU(self, wx_id, self.onLegend) |
---|
[121f72c] | 902 | |
---|
[a9d5684] | 903 | loc_menu = wx.Menu() |
---|
| 904 | for label in self._loc_labels: |
---|
[098f3d2] | 905 | wx_id = wx.NewId() |
---|
| 906 | loc_menu.Append(wx_id, str(label), str(label)) |
---|
| 907 | wx.EVT_MENU(self, wx_id, self.onChangeLegendLoc) |
---|
| 908 | wx_id = wx.NewId() |
---|
| 909 | slicerpop.AppendMenu(wx_id, '&Modify Legend Location', loc_menu) |
---|
| 910 | |
---|
| 911 | wx_id = wx.NewId() |
---|
| 912 | slicerpop.Append(wx_id, '&Modify Y Axis Label') |
---|
| 913 | wx.EVT_MENU(self, wx_id, self._on_yaxis_label) |
---|
| 914 | wx_id = wx.NewId() |
---|
| 915 | slicerpop.Append(wx_id, '&Modify X Axis Label') |
---|
| 916 | wx.EVT_MENU(self, wx_id, self._on_xaxis_label) |
---|
[121f72c] | 917 | |
---|
[a9d5684] | 918 | try: |
---|
| 919 | # mouse event |
---|
| 920 | pos_evt = event.GetPosition() |
---|
| 921 | pos = self.ScreenToClient(pos_evt) |
---|
| 922 | except: |
---|
| 923 | # toolbar event |
---|
| 924 | pos_x, pos_y = self.toolbar.GetPositionTuple() |
---|
| 925 | pos = (pos_x, pos_y + 5) |
---|
[121f72c] | 926 | |
---|
[a9d5684] | 927 | self.PopupMenu(slicerpop, pos) |
---|
[121f72c] | 928 | |
---|
[a9d5684] | 929 | def onToolContextMenu(self, event): |
---|
| 930 | """ |
---|
| 931 | ContextMenu from toolbar |
---|
[121f72c] | 932 | |
---|
[a9d5684] | 933 | :param event: toolbar event |
---|
| 934 | """ |
---|
| 935 | # reset postion |
---|
| 936 | self.position = None |
---|
| 937 | if self.graph.selected_plottable != None: |
---|
| 938 | self.graph.selected_plottable = None |
---|
[121f72c] | 939 | |
---|
[a9d5684] | 940 | self.onContextMenu(event) |
---|
[121f72c] | 941 | |
---|
[a9d5684] | 942 | # modified kieranrcampbell ILL june2012 |
---|
[121f72c] | 943 | def onLegend(self, legOnOff): |
---|
[a9d5684] | 944 | """ |
---|
| 945 | Toggles whether legend is visible/not visible |
---|
| 946 | """ |
---|
| 947 | self.legend_on = legOnOff |
---|
| 948 | if not self.legend_on: |
---|
| 949 | for ax in self.axes: |
---|
| 950 | self.remove_legend(ax) |
---|
| 951 | else: |
---|
| 952 | # sort them by labels |
---|
| 953 | handles, labels = self.subplot.get_legend_handles_labels() |
---|
| 954 | hl = sorted(zip(handles, labels), |
---|
| 955 | key=operator.itemgetter(1)) |
---|
| 956 | handles2, labels2 = zip(*hl) |
---|
| 957 | self.line_collections_list = handles2 |
---|
| 958 | self.legend = self.subplot.legend(handles2, labels2, |
---|
[121f72c] | 959 | prop=FontProperties(size=10), |
---|
| 960 | loc=self.legendLoc) |
---|
[a9d5684] | 961 | if self.legend != None: |
---|
| 962 | self.legend.set_picker(self.legend_picker) |
---|
| 963 | self.legend.set_axes(self.subplot) |
---|
| 964 | self.legend.set_zorder(20) |
---|
[121f72c] | 965 | |
---|
[a9d5684] | 966 | self.subplot.figure.canvas.draw_idle() |
---|
| 967 | |
---|
| 968 | def onChangeLegendLoc(self, event): |
---|
| 969 | """ |
---|
| 970 | Changes legend loc based on user input |
---|
| 971 | """ |
---|
| 972 | menu = event.GetEventObject() |
---|
[121f72c] | 973 | label = menu.GetLabel(event.GetId()) |
---|
[a9d5684] | 974 | self.ChangeLegendLoc(label) |
---|
| 975 | |
---|
| 976 | def ChangeLegendLoc(self, label): |
---|
| 977 | """ |
---|
| 978 | Changes legend loc based on user input |
---|
| 979 | """ |
---|
| 980 | self.legendLoc = label |
---|
| 981 | self.legend_pos_loc = None |
---|
| 982 | # sort them by labels |
---|
| 983 | handles, labels = self.subplot.get_legend_handles_labels() |
---|
| 984 | hl = sorted(zip(handles, labels), |
---|
| 985 | key=operator.itemgetter(1)) |
---|
| 986 | handles2, labels2 = zip(*hl) |
---|
| 987 | self.line_collections_list = handles2 |
---|
| 988 | self.legend = self.subplot.legend(handles2, labels2, |
---|
[121f72c] | 989 | prop=FontProperties(size=10), |
---|
| 990 | loc=self.legendLoc) |
---|
[a9d5684] | 991 | if self.legend != None: |
---|
| 992 | self.legend.set_picker(self.legend_picker) |
---|
| 993 | self.legend.set_axes(self.subplot) |
---|
| 994 | self.legend.set_zorder(20) |
---|
| 995 | self.subplot.figure.canvas.draw_idle() |
---|
| 996 | |
---|
| 997 | def remove_legend(self, ax=None): |
---|
| 998 | """ |
---|
| 999 | Remove legend for ax or the current axes. |
---|
| 1000 | """ |
---|
| 1001 | from pylab import gca |
---|
| 1002 | if ax is None: |
---|
| 1003 | ax = gca() |
---|
| 1004 | ax.legend_ = None |
---|
[121f72c] | 1005 | |
---|
[a9d5684] | 1006 | def _on_addtext(self, event): |
---|
| 1007 | """ |
---|
| 1008 | Allows you to add text to the plot |
---|
| 1009 | """ |
---|
| 1010 | pos_x = 0 |
---|
| 1011 | pos_y = 0 |
---|
| 1012 | if self.position != None: |
---|
| 1013 | pos_x, pos_y = self.position |
---|
| 1014 | else: |
---|
| 1015 | pos_x, pos_y = 0.01, 1.00 |
---|
| 1016 | |
---|
| 1017 | textdial = TextDialog(None, -1, 'Add Custom Text') |
---|
| 1018 | if textdial.ShowModal() == wx.ID_OK: |
---|
| 1019 | try: |
---|
| 1020 | FONT = FontProperties() |
---|
| 1021 | label = textdial.getText() |
---|
| 1022 | xpos = pos_x |
---|
| 1023 | ypos = pos_y |
---|
| 1024 | font = FONT.copy() |
---|
| 1025 | font.set_size(textdial.getSize()) |
---|
| 1026 | font.set_family(textdial.getFamily()) |
---|
| 1027 | font.set_style(textdial.getStyle()) |
---|
| 1028 | font.set_weight(textdial.getWeight()) |
---|
| 1029 | colour = textdial.getColor() |
---|
| 1030 | if len(label) > 0 and xpos > 0 and ypos > 0: |
---|
| 1031 | new_text = self.subplot.text(str(xpos), str(ypos), label, |
---|
[121f72c] | 1032 | fontproperties=font, |
---|
| 1033 | color=colour) |
---|
[a9d5684] | 1034 | self.textList.append(new_text) |
---|
| 1035 | self.subplot.figure.canvas.draw_idle() |
---|
| 1036 | except: |
---|
| 1037 | if self.parent != None: |
---|
| 1038 | msg = "Add Text: Error. Check your property values..." |
---|
[121f72c] | 1039 | wx.PostEvent(self.parent, StatusEvent(status=msg)) |
---|
[a9d5684] | 1040 | else: |
---|
| 1041 | raise |
---|
| 1042 | textdial.Destroy() |
---|
| 1043 | #Have a pop up box come up for user to type in the |
---|
| 1044 | #text that they want to add...then create text Plottable |
---|
| 1045 | #based on this and plot it at user designated coordinates |
---|
| 1046 | |
---|
[121f72c] | 1047 | def onGridOnOff(self, gridon_off): |
---|
[a9d5684] | 1048 | """ |
---|
| 1049 | Allows ON/OFF Grid |
---|
| 1050 | """ |
---|
| 1051 | self.grid_on = gridon_off |
---|
| 1052 | |
---|
| 1053 | self.subplot.figure.canvas.draw_idle() |
---|
[121f72c] | 1054 | |
---|
[a9d5684] | 1055 | def _on_xaxis_label(self, event): |
---|
| 1056 | """ |
---|
| 1057 | Allows you to add text to the plot |
---|
| 1058 | """ |
---|
[121f72c] | 1059 | xaxis_label, xaxis_unit, xaxis_font, xaxis_color, \ |
---|
[a9d5684] | 1060 | is_ok, is_tick = self._on_axis_label(axis='x') |
---|
| 1061 | if not is_ok: |
---|
| 1062 | return |
---|
[121f72c] | 1063 | |
---|
[a9d5684] | 1064 | self.xaxis_label = xaxis_label |
---|
| 1065 | self.xaxis_unit = xaxis_unit |
---|
| 1066 | self.xaxis_font = xaxis_font |
---|
| 1067 | self.xaxis_color = xaxis_color |
---|
| 1068 | if is_tick: |
---|
| 1069 | self.xaxis_tick = xaxis_font |
---|
[121f72c] | 1070 | |
---|
[a9d5684] | 1071 | if self.data != None: |
---|
| 1072 | # 2D |
---|
[121f72c] | 1073 | self.xaxis(self.xaxis_label, self.xaxis_unit, \ |
---|
[a9d5684] | 1074 | self.xaxis_font, self.xaxis_color, self.xaxis_tick) |
---|
| 1075 | self.subplot.figure.canvas.draw_idle() |
---|
| 1076 | else: |
---|
| 1077 | # 1D |
---|
| 1078 | self._check_zoom_plot() |
---|
[121f72c] | 1079 | |
---|
[a9d5684] | 1080 | def _check_zoom_plot(self): |
---|
| 1081 | """ |
---|
| 1082 | Check the zoom range and plot (1D only) |
---|
| 1083 | """ |
---|
| 1084 | xlo, xhi = self.subplot.get_xlim() |
---|
| 1085 | ylo, yhi = self.subplot.get_ylim() |
---|
| 1086 | ## Set the view scale for all plots |
---|
| 1087 | self._onEVT_FUNC_PROPERTY(False) |
---|
[cafa75f] | 1088 | if self.is_zoomed: |
---|
[a9d5684] | 1089 | # Recover the x,y limits |
---|
| 1090 | self.subplot.set_xlim((xlo, xhi)) |
---|
| 1091 | self.subplot.set_ylim((ylo, yhi)) |
---|
[cafa75f] | 1092 | |
---|
| 1093 | @property |
---|
| 1094 | def is_zoomed(self): |
---|
[da6c9847] | 1095 | toolbar_zoomed = self.toolbar.GetToolEnabled(self.toolbar.wx_ids['Back']) |
---|
[cafa75f] | 1096 | return self._is_zoomed or toolbar_zoomed |
---|
| 1097 | |
---|
| 1098 | @is_zoomed.setter |
---|
| 1099 | def is_zoomed(self, value): |
---|
| 1100 | self._is_zoomed = value |
---|
[121f72c] | 1101 | |
---|
[a9d5684] | 1102 | def _on_yaxis_label(self, event): |
---|
| 1103 | """ |
---|
| 1104 | Allows you to add text to the plot |
---|
| 1105 | """ |
---|
[121f72c] | 1106 | yaxis_label, yaxis_unit, yaxis_font, yaxis_color, \ |
---|
[a9d5684] | 1107 | is_ok, is_tick = self._on_axis_label(axis='y') |
---|
| 1108 | if not is_ok: |
---|
| 1109 | return |
---|
| 1110 | |
---|
| 1111 | self.yaxis_label = yaxis_label |
---|
| 1112 | self.yaxis_unit = yaxis_unit |
---|
| 1113 | self.yaxis_font = yaxis_font |
---|
| 1114 | self.yaxis_color = yaxis_color |
---|
| 1115 | if is_tick: |
---|
| 1116 | self.yaxis_tick = yaxis_font |
---|
| 1117 | |
---|
| 1118 | if self.data != None: |
---|
| 1119 | # 2D |
---|
[121f72c] | 1120 | self.yaxis(self.yaxis_label, self.yaxis_unit, \ |
---|
[a9d5684] | 1121 | self.yaxis_font, self.yaxis_color, self.yaxis_tick) |
---|
| 1122 | self.subplot.figure.canvas.draw_idle() |
---|
| 1123 | else: |
---|
| 1124 | # 1D |
---|
| 1125 | self._check_zoom_plot() |
---|
[121f72c] | 1126 | |
---|
[a9d5684] | 1127 | def _on_axis_label(self, axis='x'): |
---|
| 1128 | """ |
---|
| 1129 | Modify axes labels |
---|
[121f72c] | 1130 | |
---|
[a9d5684] | 1131 | :param axis: x or y axis [string] |
---|
| 1132 | """ |
---|
| 1133 | is_ok = True |
---|
| 1134 | title = 'Modify %s axis label' % axis |
---|
| 1135 | font = 'serif' |
---|
| 1136 | colour = 'black' |
---|
| 1137 | if axis == 'x': |
---|
| 1138 | label = self.xaxis_label |
---|
| 1139 | unit = self.xaxis_unit |
---|
| 1140 | else: |
---|
| 1141 | label = self.yaxis_label |
---|
| 1142 | unit = self.yaxis_unit |
---|
| 1143 | textdial = TextDialog(None, -1, title, label, unit) |
---|
| 1144 | if textdial.ShowModal() == wx.ID_OK: |
---|
| 1145 | try: |
---|
| 1146 | FONT = FontProperties() |
---|
| 1147 | font = FONT.copy() |
---|
| 1148 | font.set_size(textdial.getSize()) |
---|
| 1149 | font.set_family(textdial.getFamily()) |
---|
| 1150 | font.set_style(textdial.getStyle()) |
---|
| 1151 | font.set_weight(textdial.getWeight()) |
---|
| 1152 | unit = textdial.getUnit() |
---|
| 1153 | colour = textdial.getColor() |
---|
| 1154 | is_tick = textdial.getTickLabel() |
---|
| 1155 | label_temp = textdial.getText() |
---|
| 1156 | if label_temp.count("\%s" % "\\") > 0: |
---|
| 1157 | if self.parent != None: |
---|
| 1158 | msg = "Add Label: Error. Can not use double '\\' " |
---|
| 1159 | msg += "characters..." |
---|
| 1160 | wx.PostEvent(self.parent, StatusEvent(status=msg)) |
---|
| 1161 | else: |
---|
| 1162 | label = label_temp |
---|
| 1163 | except: |
---|
| 1164 | if self.parent != None: |
---|
| 1165 | msg = "Add Label: Error. Check your property values..." |
---|
| 1166 | wx.PostEvent(self.parent, StatusEvent(status=msg)) |
---|
| 1167 | else: |
---|
| 1168 | pass |
---|
| 1169 | else: |
---|
| 1170 | is_ok = False |
---|
| 1171 | is_tick = True |
---|
| 1172 | textdial.Destroy() |
---|
| 1173 | return label, unit, font, colour, is_ok, is_tick |
---|
[121f72c] | 1174 | |
---|
[a9d5684] | 1175 | def _on_removetext(self, event): |
---|
| 1176 | """ |
---|
| 1177 | Removes all text from the plot. |
---|
| 1178 | Eventually, add option to remove specific text boxes |
---|
| 1179 | """ |
---|
| 1180 | num_text = len(self.textList) |
---|
| 1181 | if num_text < 1: |
---|
| 1182 | if self.parent != None: |
---|
[121f72c] | 1183 | msg = "Remove Text: Nothing to remove. " |
---|
[a9d5684] | 1184 | wx.PostEvent(self.parent, StatusEvent(status=msg)) |
---|
| 1185 | else: |
---|
| 1186 | raise |
---|
| 1187 | return |
---|
[121f72c] | 1188 | txt = self.textList[num_text - 1] |
---|
[a9d5684] | 1189 | try: |
---|
| 1190 | text_remove = txt.get_text() |
---|
| 1191 | txt.remove() |
---|
| 1192 | if self.parent != None: |
---|
[121f72c] | 1193 | msg = "Removed Text: '%s'. " % text_remove |
---|
[a9d5684] | 1194 | wx.PostEvent(self.parent, StatusEvent(status=msg)) |
---|
| 1195 | except: |
---|
| 1196 | if self.parent != None: |
---|
[121f72c] | 1197 | msg = "Remove Text: Error occurred. " |
---|
[a9d5684] | 1198 | wx.PostEvent(self.parent, StatusEvent(status=msg)) |
---|
| 1199 | else: |
---|
| 1200 | raise |
---|
| 1201 | self.textList.remove(txt) |
---|
[121f72c] | 1202 | |
---|
[a9d5684] | 1203 | self.subplot.figure.canvas.draw_idle() |
---|
| 1204 | |
---|
| 1205 | def properties(self, prop): |
---|
| 1206 | """ |
---|
| 1207 | Set some properties of the graph. |
---|
| 1208 | The set of properties is not yet determined. |
---|
[121f72c] | 1209 | |
---|
[a9d5684] | 1210 | """ |
---|
| 1211 | # The particulars of how they are stored and manipulated (e.g., do |
---|
| 1212 | # we want an inventory internally) is not settled. I've used a |
---|
| 1213 | # property dictionary for now. |
---|
| 1214 | # |
---|
| 1215 | # How these properties interact with a user defined style file is |
---|
| 1216 | # even less clear. |
---|
| 1217 | |
---|
| 1218 | # Properties defined by plot |
---|
[f2f6af9] | 1219 | |
---|
[7e0f9b5] | 1220 | # Ricardo: |
---|
[f2f6af9] | 1221 | # A empty label "$$" will prevent the panel from displaying! |
---|
[7e0f9b5] | 1222 | if prop["xlabel"]: |
---|
| 1223 | self.subplot.set_xlabel(r"$%s$"%prop["xlabel"]) |
---|
| 1224 | if prop["ylabel"]: |
---|
| 1225 | self.subplot.set_ylabel(r"$%s$"%prop["ylabel"]) |
---|
[a9d5684] | 1226 | self.subplot.set_title(prop["title"]) |
---|
[f2f6af9] | 1227 | |
---|
[a9d5684] | 1228 | |
---|
| 1229 | def clear(self): |
---|
| 1230 | """Reset the plot""" |
---|
| 1231 | # TODO: Redraw is brutal. Render to a backing store and swap in |
---|
| 1232 | # TODO: rather than redrawing on the fly. |
---|
| 1233 | self.subplot.clear() |
---|
| 1234 | self.subplot.hold(True) |
---|
[121f72c] | 1235 | |
---|
[a9d5684] | 1236 | def render(self): |
---|
| 1237 | """Commit the plot after all objects are drawn""" |
---|
| 1238 | # TODO: this is when the backing store should be swapped in. |
---|
| 1239 | if self.legend_on: |
---|
| 1240 | ax = self.subplot |
---|
| 1241 | ax.texts = self.textList |
---|
| 1242 | try: |
---|
| 1243 | handles, labels = ax.get_legend_handles_labels() |
---|
| 1244 | # sort them by labels |
---|
| 1245 | hl = sorted(zip(handles, labels), |
---|
| 1246 | key=operator.itemgetter(1)) |
---|
| 1247 | handles2, labels2 = zip(*hl) |
---|
| 1248 | self.line_collections_list = handles2 |
---|
[cafa75f] | 1249 | self.legend = ax.legend(handles2, labels2, |
---|
[121f72c] | 1250 | prop=FontProperties(size=10), |
---|
| 1251 | loc=self.legendLoc) |
---|
[a9d5684] | 1252 | if self.legend != None: |
---|
| 1253 | self.legend.set_picker(self.legend_picker) |
---|
| 1254 | self.legend.set_axes(self.subplot) |
---|
| 1255 | self.legend.set_zorder(20) |
---|
[121f72c] | 1256 | |
---|
[a9d5684] | 1257 | except: |
---|
[cafa75f] | 1258 | self.legend = ax.legend(prop=FontProperties(size=10), |
---|
[a9d5684] | 1259 | loc=self.legendLoc) |
---|
[121f72c] | 1260 | |
---|
[a9d5684] | 1261 | def xaxis(self, label, units, font=None, color='black', t_font=None): |
---|
| 1262 | """xaxis label and units. |
---|
[121f72c] | 1263 | |
---|
[a9d5684] | 1264 | Axis labels know about units. |
---|
[121f72c] | 1265 | |
---|
[a9d5684] | 1266 | We need to do this so that we can detect when axes are not |
---|
| 1267 | commesurate. Currently this is ignored other than for formatting |
---|
| 1268 | purposes. |
---|
[121f72c] | 1269 | |
---|
[a9d5684] | 1270 | """ |
---|
| 1271 | |
---|
| 1272 | self.xcolor = color |
---|
| 1273 | if units.count("{") > 0 and units.count("$") < 2: |
---|
| 1274 | units = '$' + units + '$' |
---|
| 1275 | if label.count("{") > 0 and label.count("$") < 2: |
---|
| 1276 | label = '$' + label + '$' |
---|
| 1277 | if units != "": |
---|
| 1278 | label = label + " (" + units + ")" |
---|
| 1279 | if font: |
---|
| 1280 | self.subplot.set_xlabel(label, fontproperties=font, color=color) |
---|
| 1281 | if t_font != None: |
---|
| 1282 | for tick in self.subplot.xaxis.get_major_ticks(): |
---|
| 1283 | tick.label.set_fontproperties(t_font) |
---|
| 1284 | for line in self.subplot.xaxis.get_ticklines(): |
---|
| 1285 | size = t_font.get_size() |
---|
| 1286 | line.set_markersize(size / 3) |
---|
| 1287 | else: |
---|
| 1288 | self.subplot.set_xlabel(label, color=color) |
---|
| 1289 | pass |
---|
[121f72c] | 1290 | |
---|
[a9d5684] | 1291 | def yaxis(self, label, units, font=None, color='black', t_font=None): |
---|
| 1292 | """yaxis label and units.""" |
---|
| 1293 | self.ycolor = color |
---|
| 1294 | if units.count("{") > 0 and units.count("$") < 2: |
---|
| 1295 | units = '$' + units + '$' |
---|
| 1296 | if label.count("{") > 0 and label.count("$") < 2: |
---|
| 1297 | label = '$' + label + '$' |
---|
| 1298 | if units != "": |
---|
| 1299 | label = label + " (" + units + ")" |
---|
| 1300 | if font: |
---|
| 1301 | self.subplot.set_ylabel(label, fontproperties=font, color=color) |
---|
| 1302 | if t_font != None: |
---|
| 1303 | for tick_label in self.subplot.get_yticklabels(): |
---|
| 1304 | tick_label.set_fontproperties(t_font) |
---|
| 1305 | for line in self.subplot.yaxis.get_ticklines(): |
---|
| 1306 | size = t_font.get_size() |
---|
| 1307 | line.set_markersize(size / 3) |
---|
| 1308 | else: |
---|
| 1309 | self.subplot.set_ylabel(label, color=color) |
---|
| 1310 | pass |
---|
| 1311 | |
---|
| 1312 | def _connect_to_xlim(self, callback): |
---|
| 1313 | """Bind the xlim change notification to the callback""" |
---|
| 1314 | def process_xlim(axes): |
---|
| 1315 | lo, hi = subplot.get_xlim() |
---|
| 1316 | callback(lo, hi) |
---|
| 1317 | self.subplot.callbacks.connect('xlim_changed', process_xlim) |
---|
| 1318 | |
---|
| 1319 | def interactive_points(self, x, y, dx=None, dy=None, name='', color=0, |
---|
[121f72c] | 1320 | symbol=0, markersize=5, zorder=1, id=None, |
---|
[a9d5684] | 1321 | label=None, hide_error=False): |
---|
| 1322 | """Draw markers with error bars""" |
---|
| 1323 | self.subplot.set_yscale('linear') |
---|
| 1324 | self.subplot.set_xscale('linear') |
---|
| 1325 | if id is None: |
---|
| 1326 | id = name |
---|
| 1327 | from plottable_interactor import PointInteractor |
---|
| 1328 | p = PointInteractor(self, self.subplot, zorder=zorder, id=id) |
---|
| 1329 | if p.markersize != None: |
---|
| 1330 | markersize = p.markersize |
---|
[121f72c] | 1331 | p.points(x, y, dx=dx, dy=dy, color=color, symbol=symbol, zorder=zorder, |
---|
[a9d5684] | 1332 | markersize=markersize, label=label, hide_error=hide_error) |
---|
[121f72c] | 1333 | |
---|
[a9d5684] | 1334 | self.subplot.set_yscale(self.yscale, nonposy='clip') |
---|
| 1335 | self.subplot.set_xscale(self.xscale) |
---|
[121f72c] | 1336 | |
---|
[a9d5684] | 1337 | def interactive_curve(self, x, y, dy=None, name='', color=0, |
---|
| 1338 | symbol=0, zorder=1, id=None, label=None): |
---|
| 1339 | """Draw markers with error bars""" |
---|
| 1340 | self.subplot.set_yscale('linear') |
---|
| 1341 | self.subplot.set_xscale('linear') |
---|
| 1342 | if id is None: |
---|
| 1343 | id = name |
---|
| 1344 | from plottable_interactor import PointInteractor |
---|
| 1345 | p = PointInteractor(self, self.subplot, zorder=zorder, id=id) |
---|
| 1346 | p.curve(x, y, dy=dy, color=color, symbol=symbol, zorder=zorder, |
---|
[121f72c] | 1347 | label=label) |
---|
| 1348 | |
---|
[a9d5684] | 1349 | self.subplot.set_yscale(self.yscale, nonposy='clip') |
---|
| 1350 | self.subplot.set_xscale(self.xscale) |
---|
[121f72c] | 1351 | |
---|
[a9d5684] | 1352 | def plottable_selected(self, id): |
---|
| 1353 | """ |
---|
| 1354 | Called to register a plottable as selected |
---|
| 1355 | """ |
---|
| 1356 | #TODO: check that it really is in the list of plottables |
---|
| 1357 | self.graph.selected_plottable = id |
---|
| 1358 | |
---|
| 1359 | def points(self, x, y, dx=None, dy=None, |
---|
| 1360 | color=0, symbol=0, marker_size=5, label=None, |
---|
| 1361 | id=None, hide_error=False): |
---|
| 1362 | """Draw markers with error bars""" |
---|
[121f72c] | 1363 | |
---|
[a9d5684] | 1364 | # Convert tuple (lo,hi) to array [(x-lo),(hi-x)] |
---|
| 1365 | if dx != None and type(dx) == type(()): |
---|
[121f72c] | 1366 | dx = nx.vstack((x - dx[0], dx[1] - x)).transpose() |
---|
[a9d5684] | 1367 | if dy != None and type(dy) == type(()): |
---|
[121f72c] | 1368 | dy = nx.vstack((y - dy[0], dy[1] - y)).transpose() |
---|
[a9d5684] | 1369 | if dx == None and dy == None: |
---|
[121f72c] | 1370 | self.subplot.plot(x, y, color=self._color(color), |
---|
| 1371 | marker=self._symbol(symbol), |
---|
| 1372 | markersize=marker_size, |
---|
| 1373 | linestyle='', |
---|
| 1374 | label=label) |
---|
[a9d5684] | 1375 | else: |
---|
| 1376 | col = self._color(color) |
---|
| 1377 | if hide_error: |
---|
[121f72c] | 1378 | self.subplot.plot(x, y, color=col, |
---|
[a9d5684] | 1379 | marker=self._symbol(symbol), |
---|
| 1380 | markersize=marker_size, |
---|
[121f72c] | 1381 | linestyle='', |
---|
| 1382 | label=label) |
---|
| 1383 | else: |
---|
| 1384 | self.subplot.errorbar(x, y, yerr=dy, xerr=None, |
---|
| 1385 | ecolor=col, capsize=2, linestyle='', |
---|
| 1386 | barsabove=False, |
---|
| 1387 | mec=col, mfc=col, |
---|
| 1388 | marker=self._symbol(symbol), |
---|
| 1389 | markersize=marker_size, |
---|
| 1390 | lolims=False, uplims=False, |
---|
| 1391 | xlolims=False, xuplims=False, label=label) |
---|
| 1392 | |
---|
[a9d5684] | 1393 | self.subplot.set_yscale(self.yscale, nonposy='clip') |
---|
| 1394 | self.subplot.set_xscale(self.xscale) |
---|
[121f72c] | 1395 | |
---|
[a9d5684] | 1396 | def _onToggleScale(self, event): |
---|
| 1397 | """ |
---|
| 1398 | toggle axis and replot image |
---|
[121f72c] | 1399 | |
---|
[a9d5684] | 1400 | """ |
---|
| 1401 | zmin_2D_temp = self.zmin_2D |
---|
| 1402 | zmax_2D_temp = self.zmax_2D |
---|
| 1403 | if self.scale == 'log_{10}': |
---|
| 1404 | self.scale = 'linear' |
---|
| 1405 | if not self.zmin_2D is None: |
---|
| 1406 | zmin_2D_temp = math.pow(10, self.zmin_2D) |
---|
| 1407 | if not self.zmax_2D is None: |
---|
| 1408 | zmax_2D_temp = math.pow(10, self.zmax_2D) |
---|
| 1409 | else: |
---|
| 1410 | self.scale = 'log_{10}' |
---|
| 1411 | if not self.zmin_2D is None: |
---|
| 1412 | # min log value: no log(negative) |
---|
| 1413 | if self.zmin_2D <= 0: |
---|
| 1414 | zmin_2D_temp = -32 |
---|
| 1415 | else: |
---|
| 1416 | zmin_2D_temp = math.log10(self.zmin_2D) |
---|
| 1417 | if not self.zmax_2D is None: |
---|
| 1418 | zmax_2D_temp = math.log10(self.zmax_2D) |
---|
[121f72c] | 1419 | |
---|
[a9d5684] | 1420 | self.image(data=self.data, qx_data=self.qx_data, |
---|
| 1421 | qy_data=self.qy_data, xmin=self.xmin_2D, |
---|
| 1422 | xmax=self.xmax_2D, |
---|
| 1423 | ymin=self.ymin_2D, ymax=self.ymax_2D, |
---|
| 1424 | cmap=self.cmap, zmin=zmin_2D_temp, |
---|
| 1425 | zmax=zmax_2D_temp) |
---|
[121f72c] | 1426 | |
---|
[a9d5684] | 1427 | def image(self, data, qx_data, qy_data, xmin, xmax, ymin, ymax, |
---|
| 1428 | zmin, zmax, color=0, symbol=0, markersize=0, |
---|
| 1429 | label='data2D', cmap=DEFAULT_CMAP): |
---|
| 1430 | """ |
---|
| 1431 | Render the current data |
---|
[121f72c] | 1432 | |
---|
[a9d5684] | 1433 | """ |
---|
| 1434 | self.data = data |
---|
| 1435 | self.qx_data = qx_data |
---|
| 1436 | self.qy_data = qy_data |
---|
| 1437 | self.xmin_2D = xmin |
---|
| 1438 | self.xmax_2D = xmax |
---|
| 1439 | self.ymin_2D = ymin |
---|
| 1440 | self.ymax_2D = ymax |
---|
| 1441 | self.zmin_2D = zmin |
---|
| 1442 | self.zmax_2D = zmax |
---|
| 1443 | c = self._color(color) |
---|
| 1444 | # If we don't have any data, skip. |
---|
| 1445 | if self.data == None: |
---|
| 1446 | return |
---|
| 1447 | if self.data.ndim == 1: |
---|
| 1448 | output = self._build_matrix() |
---|
| 1449 | else: |
---|
| 1450 | output = copy.deepcopy(self.data) |
---|
| 1451 | # check scale |
---|
| 1452 | if self.scale == 'log_{10}': |
---|
| 1453 | try: |
---|
| 1454 | if self.zmin_2D <= 0 and len(output[output > 0]) > 0: |
---|
| 1455 | zmin_temp = self.zmin_2D |
---|
[9a5097c] | 1456 | output[output > 0] = np.log10(output[output > 0]) |
---|
[a9d5684] | 1457 | #In log scale Negative values are not correct in general |
---|
[9a5097c] | 1458 | #output[output<=0] = math.log(np.min(output[output>0])) |
---|
[a9d5684] | 1459 | elif self.zmin_2D <= 0: |
---|
| 1460 | zmin_temp = self.zmin_2D |
---|
[9a5097c] | 1461 | output[output > 0] = np.zeros(len(output)) |
---|
[121f72c] | 1462 | output[output <= 0] = -32 |
---|
| 1463 | else: |
---|
[a9d5684] | 1464 | zmin_temp = self.zmin_2D |
---|
[9a5097c] | 1465 | output[output > 0] = np.log10(output[output > 0]) |
---|
[a9d5684] | 1466 | #In log scale Negative values are not correct in general |
---|
[9a5097c] | 1467 | #output[output<=0] = math.log(np.min(output[output>0])) |
---|
[a9d5684] | 1468 | except: |
---|
| 1469 | #Too many problems in 2D plot with scale |
---|
| 1470 | pass |
---|
[121f72c] | 1471 | |
---|
[a9d5684] | 1472 | else: |
---|
| 1473 | zmin_temp = self.zmin_2D |
---|
| 1474 | self.cmap = cmap |
---|
| 1475 | if self.dimension != 3: |
---|
| 1476 | #Re-adjust colorbar |
---|
| 1477 | self.subplot.figure.subplots_adjust(left=0.2, right=.8, bottom=.2) |
---|
[121f72c] | 1478 | |
---|
[a9d5684] | 1479 | im = self.subplot.imshow(output, interpolation='nearest', |
---|
| 1480 | origin='lower', |
---|
| 1481 | vmin=zmin_temp, vmax=self.zmax_2D, |
---|
| 1482 | cmap=self.cmap, |
---|
| 1483 | extent=(self.xmin_2D, self.xmax_2D, |
---|
[121f72c] | 1484 | self.ymin_2D, self.ymax_2D)) |
---|
| 1485 | |
---|
| 1486 | cbax = self.subplot.figure.add_axes([0.84, 0.2, 0.02, 0.7]) |
---|
[a9d5684] | 1487 | else: |
---|
| 1488 | # clear the previous 2D from memory |
---|
| 1489 | # mpl is not clf, so we do |
---|
| 1490 | self.subplot.figure.clear() |
---|
| 1491 | |
---|
| 1492 | self.subplot.figure.subplots_adjust(left=0.1, right=.8, bottom=.1) |
---|
| 1493 | |
---|
| 1494 | X = self.x_bins[0:-1] |
---|
| 1495 | Y = self.y_bins[0:-1] |
---|
[9a5097c] | 1496 | X, Y = np.meshgrid(X, Y) |
---|
[121f72c] | 1497 | |
---|
[a9d5684] | 1498 | try: |
---|
| 1499 | # mpl >= 1.0.0 |
---|
| 1500 | ax = self.subplot.figure.gca(projection='3d') |
---|
| 1501 | #ax.disable_mouse_rotation() |
---|
[121f72c] | 1502 | cbax = self.subplot.figure.add_axes([0.84, 0.1, 0.02, 0.8]) |
---|
[a9d5684] | 1503 | if len(X) > 60: |
---|
| 1504 | ax.disable_mouse_rotation() |
---|
| 1505 | except: |
---|
| 1506 | # mpl < 1.0.0 |
---|
| 1507 | try: |
---|
| 1508 | from mpl_toolkits.mplot3d import Axes3D |
---|
| 1509 | except: |
---|
[c155a16] | 1510 | logger.error("PlotPanel could not import Axes3D") |
---|
[a9d5684] | 1511 | self.subplot.figure.clear() |
---|
| 1512 | ax = Axes3D(self.subplot.figure) |
---|
| 1513 | if len(X) > 60: |
---|
| 1514 | ax.cla() |
---|
| 1515 | cbax = None |
---|
| 1516 | self.subplot.figure.canvas.resizing = False |
---|
| 1517 | im = ax.plot_surface(X, Y, output, rstride=1, cstride=1, cmap=cmap, |
---|
[121f72c] | 1518 | linewidth=0, antialiased=False) |
---|
[a9d5684] | 1519 | self.subplot.set_axis_off() |
---|
[121f72c] | 1520 | |
---|
[a9d5684] | 1521 | if cbax == None: |
---|
| 1522 | ax.set_frame_on(False) |
---|
| 1523 | cb = self.subplot.figure.colorbar(im, shrink=0.8, aspect=20) |
---|
| 1524 | else: |
---|
| 1525 | cb = self.subplot.figure.colorbar(im, cax=cbax) |
---|
| 1526 | cb.update_bruteforce(im) |
---|
| 1527 | cb.set_label('$' + self.scale + '$') |
---|
| 1528 | if self.dimension != 3: |
---|
| 1529 | self.figure.canvas.draw_idle() |
---|
| 1530 | else: |
---|
| 1531 | self.figure.canvas.draw() |
---|
[121f72c] | 1532 | |
---|
[a9d5684] | 1533 | def _build_matrix(self): |
---|
| 1534 | """ |
---|
| 1535 | Build a matrix for 2d plot from a vector |
---|
| 1536 | Returns a matrix (image) with ~ square binning |
---|
| 1537 | Requirement: need 1d array formats of |
---|
| 1538 | self.data, self.qx_data, and self.qy_data |
---|
| 1539 | where each one corresponds to z, x, or y axis values |
---|
[121f72c] | 1540 | |
---|
[a9d5684] | 1541 | """ |
---|
| 1542 | # No qx or qy given in a vector format |
---|
| 1543 | if self.qx_data == None or self.qy_data == None \ |
---|
| 1544 | or self.qx_data.ndim != 1 or self.qy_data.ndim != 1: |
---|
| 1545 | # do we need deepcopy here? |
---|
| 1546 | return copy.deepcopy(self.data) |
---|
[121f72c] | 1547 | |
---|
[a9d5684] | 1548 | # maximum # of loops to fillup_pixels |
---|
| 1549 | # otherwise, loop could never stop depending on data |
---|
| 1550 | max_loop = 1 |
---|
| 1551 | # get the x and y_bin arrays. |
---|
| 1552 | self._get_bins() |
---|
| 1553 | # set zero to None |
---|
[121f72c] | 1554 | |
---|
[a9d5684] | 1555 | #Note: Can not use scipy.interpolate.Rbf: |
---|
| 1556 | # 'cause too many data points (>10000)<=JHC. |
---|
| 1557 | # 1d array to use for weighting the data point averaging |
---|
| 1558 | #when they fall into a same bin. |
---|
[9a5097c] | 1559 | weights_data = np.ones([self.data.size]) |
---|
[a9d5684] | 1560 | # get histogram of ones w/len(data); this will provide |
---|
| 1561 | #the weights of data on each bins |
---|
[9a5097c] | 1562 | weights, xedges, yedges = np.histogram2d(x=self.qy_data, |
---|
[a9d5684] | 1563 | y=self.qx_data, |
---|
[121f72c] | 1564 | bins=[self.y_bins, self.x_bins], |
---|
| 1565 | weights=weights_data) |
---|
[a9d5684] | 1566 | # get histogram of data, all points into a bin in a way of summing |
---|
[9a5097c] | 1567 | image, xedges, yedges = np.histogram2d(x=self.qy_data, |
---|
[a9d5684] | 1568 | y=self.qx_data, |
---|
[121f72c] | 1569 | bins=[self.y_bins, self.x_bins], |
---|
| 1570 | weights=self.data) |
---|
[f2f6af9] | 1571 | # Now, normalize the image by weights only for weights>1: |
---|
[a9d5684] | 1572 | # If weight == 1, there is only one data point in the bin so |
---|
| 1573 | # that no normalization is required. |
---|
[121f72c] | 1574 | image[weights > 1] = image[weights > 1] / weights[weights > 1] |
---|
[a9d5684] | 1575 | # Set image bins w/o a data point (weight==0) as None (was set to zero |
---|
| 1576 | # by histogram2d.) |
---|
| 1577 | image[weights == 0] = None |
---|
| 1578 | |
---|
| 1579 | # Fill empty bins with 8 nearest neighbors only when at least |
---|
| 1580 | #one None point exists |
---|
| 1581 | loop = 0 |
---|
[121f72c] | 1582 | |
---|
[a9d5684] | 1583 | # do while loop until all vacant bins are filled up up |
---|
| 1584 | #to loop = max_loop |
---|
[9a5097c] | 1585 | while not(np.isfinite(image[weights == 0])).all(): |
---|
[a9d5684] | 1586 | if loop >= max_loop: # this protects never-ending loop |
---|
| 1587 | break |
---|
| 1588 | image = self._fillup_pixels(image=image, weights=weights) |
---|
| 1589 | loop += 1 |
---|
[121f72c] | 1590 | |
---|
[a9d5684] | 1591 | return image |
---|
[121f72c] | 1592 | |
---|
[a9d5684] | 1593 | def _get_bins(self): |
---|
| 1594 | """ |
---|
| 1595 | get bins |
---|
| 1596 | set x_bins and y_bins into self, 1d arrays of the index with |
---|
| 1597 | ~ square binning |
---|
| 1598 | Requirement: need 1d array formats of |
---|
| 1599 | self.qx_data, and self.qy_data |
---|
| 1600 | where each one corresponds to x, or y axis values |
---|
| 1601 | """ |
---|
| 1602 | # No qx or qy given in a vector format |
---|
| 1603 | if self.qx_data == None or self.qy_data == None \ |
---|
| 1604 | or self.qx_data.ndim != 1 or self.qy_data.ndim != 1: |
---|
| 1605 | # do we need deepcopy here? |
---|
| 1606 | return copy.deepcopy(self.data) |
---|
[121f72c] | 1607 | |
---|
[a9d5684] | 1608 | # find max and min values of qx and qy |
---|
| 1609 | xmax = self.qx_data.max() |
---|
| 1610 | xmin = self.qx_data.min() |
---|
| 1611 | ymax = self.qy_data.max() |
---|
| 1612 | ymin = self.qy_data.min() |
---|
[121f72c] | 1613 | |
---|
[a9d5684] | 1614 | # calculate the range of qx and qy: this way, it is a little |
---|
| 1615 | # more independent |
---|
| 1616 | x_size = xmax - xmin |
---|
| 1617 | y_size = ymax - ymin |
---|
[121f72c] | 1618 | |
---|
[a9d5684] | 1619 | # estimate the # of pixels on each axes |
---|
| 1620 | npix_y = int(math.floor(math.sqrt(len(self.qy_data)))) |
---|
| 1621 | npix_x = int(math.floor(len(self.qy_data) / npix_y)) |
---|
| 1622 | |
---|
| 1623 | # bin size: x- & y-directions |
---|
| 1624 | xstep = x_size / (npix_x - 1) |
---|
| 1625 | ystep = y_size / (npix_y - 1) |
---|
| 1626 | |
---|
| 1627 | # max and min taking account of the bin sizes |
---|
| 1628 | xmax = xmax + xstep / 2.0 |
---|
| 1629 | xmin = xmin - xstep / 2.0 |
---|
| 1630 | ymax = ymax + ystep / 2.0 |
---|
| 1631 | ymin = ymin - ystep / 2.0 |
---|
[121f72c] | 1632 | |
---|
[a9d5684] | 1633 | # store x and y bin centers in q space |
---|
[9a5097c] | 1634 | x_bins = np.linspace(xmin, xmax, npix_x) |
---|
| 1635 | y_bins = np.linspace(ymin, ymax, npix_y) |
---|
[121f72c] | 1636 | |
---|
[a9d5684] | 1637 | #set x_bins and y_bins |
---|
| 1638 | self.x_bins = x_bins |
---|
| 1639 | self.y_bins = y_bins |
---|
| 1640 | |
---|
| 1641 | def _fillup_pixels(self, image=None, weights=None): |
---|
| 1642 | """ |
---|
| 1643 | Fill z values of the empty cells of 2d image matrix |
---|
| 1644 | with the average over up-to next nearest neighbor points |
---|
[121f72c] | 1645 | |
---|
[a9d5684] | 1646 | :param image: (2d matrix with some zi = None) |
---|
[121f72c] | 1647 | |
---|
[a9d5684] | 1648 | :return: image (2d array ) |
---|
[121f72c] | 1649 | |
---|
[a9d5684] | 1650 | :TODO: Find better way to do for-loop below |
---|
[121f72c] | 1651 | |
---|
[a9d5684] | 1652 | """ |
---|
| 1653 | # No image matrix given |
---|
[9a5097c] | 1654 | if image == None or np.ndim(image) != 2 \ |
---|
| 1655 | or np.isfinite(image).all() \ |
---|
[a9d5684] | 1656 | or weights == None: |
---|
| 1657 | return image |
---|
| 1658 | # Get bin size in y and x directions |
---|
| 1659 | len_y = len(image) |
---|
| 1660 | len_x = len(image[1]) |
---|
[9a5097c] | 1661 | temp_image = np.zeros([len_y, len_x]) |
---|
| 1662 | weit = np.zeros([len_y, len_x]) |
---|
[a9d5684] | 1663 | # do for-loop for all pixels |
---|
| 1664 | for n_y in range(len(image)): |
---|
| 1665 | for n_x in range(len(image[1])): |
---|
| 1666 | # find only null pixels |
---|
[9a5097c] | 1667 | if weights[n_y][n_x] > 0 or np.isfinite(image[n_y][n_x]): |
---|
[a9d5684] | 1668 | continue |
---|
| 1669 | else: |
---|
| 1670 | # find 4 nearest neighbors |
---|
| 1671 | # check where or not it is at the corner |
---|
[9a5097c] | 1672 | if n_y != 0 and np.isfinite(image[n_y - 1][n_x]): |
---|
[121f72c] | 1673 | temp_image[n_y][n_x] += image[n_y - 1][n_x] |
---|
[a9d5684] | 1674 | weit[n_y][n_x] += 1 |
---|
[9a5097c] | 1675 | if n_x != 0 and np.isfinite(image[n_y][n_x - 1]): |
---|
[121f72c] | 1676 | temp_image[n_y][n_x] += image[n_y][n_x - 1] |
---|
[a9d5684] | 1677 | weit[n_y][n_x] += 1 |
---|
[9a5097c] | 1678 | if n_y != len_y - 1 and np.isfinite(image[n_y + 1][n_x]): |
---|
[121f72c] | 1679 | temp_image[n_y][n_x] += image[n_y + 1][n_x] |
---|
[a9d5684] | 1680 | weit[n_y][n_x] += 1 |
---|
[9a5097c] | 1681 | if n_x != len_x - 1 and np.isfinite(image[n_y][n_x + 1]): |
---|
[121f72c] | 1682 | temp_image[n_y][n_x] += image[n_y][n_x + 1] |
---|
[a9d5684] | 1683 | weit[n_y][n_x] += 1 |
---|
| 1684 | # go 4 next nearest neighbors when no non-zero |
---|
| 1685 | # neighbor exists |
---|
[9a5097c] | 1686 | if n_y != 0 and n_x != 0 and \ |
---|
| 1687 | np.isfinite(image[n_y - 1][n_x - 1]): |
---|
[121f72c] | 1688 | temp_image[n_y][n_x] += image[n_y - 1][n_x - 1] |
---|
[a9d5684] | 1689 | weit[n_y][n_x] += 1 |
---|
[121f72c] | 1690 | if n_y != len_y - 1 and n_x != 0 and \ |
---|
[9a5097c] | 1691 | np.isfinite(image[n_y + 1][n_x - 1]): |
---|
[121f72c] | 1692 | temp_image[n_y][n_x] += image[n_y + 1][n_x - 1] |
---|
[a9d5684] | 1693 | weit[n_y][n_x] += 1 |
---|
[121f72c] | 1694 | if n_y != len_y and n_x != len_x - 1 and \ |
---|
[9a5097c] | 1695 | np.isfinite(image[n_y - 1][n_x + 1]): |
---|
[121f72c] | 1696 | temp_image[n_y][n_x] += image[n_y - 1][n_x + 1] |
---|
[a9d5684] | 1697 | weit[n_y][n_x] += 1 |
---|
[121f72c] | 1698 | if n_y != len_y - 1 and n_x != len_x - 1 and \ |
---|
[9a5097c] | 1699 | np.isfinite(image[n_y + 1][n_x + 1]): |
---|
[121f72c] | 1700 | temp_image[n_y][n_x] += image[n_y + 1][n_x + 1] |
---|
[a9d5684] | 1701 | weit[n_y][n_x] += 1 |
---|
| 1702 | |
---|
| 1703 | # get it normalized |
---|
| 1704 | ind = (weit > 0) |
---|
| 1705 | image[ind] = temp_image[ind] / weit[ind] |
---|
[121f72c] | 1706 | |
---|
[a9d5684] | 1707 | return image |
---|
[121f72c] | 1708 | |
---|
[a9d5684] | 1709 | def curve(self, x, y, dy=None, color=0, symbol=0, label=None): |
---|
| 1710 | """Draw a line on a graph, possibly with confidence intervals.""" |
---|
| 1711 | c = self._color(color) |
---|
| 1712 | self.subplot.set_yscale('linear') |
---|
| 1713 | self.subplot.set_xscale('linear') |
---|
[121f72c] | 1714 | |
---|
[a9d5684] | 1715 | self.subplot.plot(x, y, color=c, marker='', |
---|
| 1716 | linestyle='-', label=label) |
---|
| 1717 | self.subplot.set_yscale(self.yscale) |
---|
| 1718 | self.subplot.set_xscale(self.xscale) |
---|
| 1719 | |
---|
| 1720 | def _color(self, c): |
---|
| 1721 | """Return a particular colour""" |
---|
| 1722 | return self.colorlist[c % len(self.colorlist)] |
---|
| 1723 | |
---|
| 1724 | def _symbol(self, s): |
---|
| 1725 | """Return a particular symbol""" |
---|
| 1726 | return self.symbollist[s % len(self.symbollist)] |
---|
[121f72c] | 1727 | |
---|
[a9d5684] | 1728 | def _replot(self, remove_fit=False): |
---|
| 1729 | """ |
---|
| 1730 | Rescale the plottables according to the latest |
---|
| 1731 | user selection and update the plot |
---|
[121f72c] | 1732 | |
---|
[a9d5684] | 1733 | :param remove_fit: Fit line will be removed if True |
---|
[121f72c] | 1734 | |
---|
[a9d5684] | 1735 | """ |
---|
| 1736 | self.graph.reset_scale() |
---|
| 1737 | self._onEVT_FUNC_PROPERTY(remove_fit=remove_fit) |
---|
| 1738 | #TODO: Why do we have to have the following line? |
---|
| 1739 | self.fit_result.reset_view() |
---|
| 1740 | self.graph.render(self) |
---|
| 1741 | self.subplot.figure.canvas.draw_idle() |
---|
[121f72c] | 1742 | |
---|
[a9d5684] | 1743 | def _onEVT_FUNC_PROPERTY(self, remove_fit=True, show=True): |
---|
| 1744 | """ |
---|
| 1745 | Receive the x and y transformation from myDialog, |
---|
| 1746 | Transforms x and y in View |
---|
| 1747 | and set the scale |
---|
| 1748 | """ |
---|
| 1749 | # The logic should be in the right order |
---|
| 1750 | # Delete first, and then get the whole list... |
---|
| 1751 | if remove_fit: |
---|
| 1752 | self.graph.delete(self.fit_result) |
---|
[2f12acc] | 1753 | if hasattr(self, 'plots'): |
---|
| 1754 | if 'fit' in self.plots.keys(): |
---|
| 1755 | del self.plots['fit'] |
---|
[121f72c] | 1756 | self.ly = None |
---|
| 1757 | self.q_ctrl = None |
---|
[a9d5684] | 1758 | list = self.graph.returnPlottable() |
---|
| 1759 | # Changing the scale might be incompatible with |
---|
| 1760 | # currently displayed data (for instance, going |
---|
| 1761 | # from ln to log when all plotted values have |
---|
| 1762 | # negative natural logs). |
---|
| 1763 | # Go linear and only change the scale at the end. |
---|
| 1764 | self.set_xscale("linear") |
---|
| 1765 | self.set_yscale("linear") |
---|
| 1766 | _xscale = 'linear' |
---|
| 1767 | _yscale = 'linear' |
---|
| 1768 | for item in list: |
---|
[2f12acc] | 1769 | if item.id == 'fit': |
---|
| 1770 | continue |
---|
[a9d5684] | 1771 | item.setLabel(self.xLabel, self.yLabel) |
---|
| 1772 | # control axis labels from the panel itself |
---|
| 1773 | yname, yunits = item.get_yaxis() |
---|
| 1774 | if self.yaxis_label != None: |
---|
| 1775 | yname = self.yaxis_label |
---|
| 1776 | yunits = self.yaxis_unit |
---|
| 1777 | else: |
---|
| 1778 | self.yaxis_label = yname |
---|
| 1779 | self.yaxis_unit = yunits |
---|
| 1780 | xname, xunits = item.get_xaxis() |
---|
| 1781 | if self.xaxis_label != None: |
---|
| 1782 | xname = self.xaxis_label |
---|
| 1783 | xunits = self.xaxis_unit |
---|
| 1784 | else: |
---|
| 1785 | self.xaxis_label = xname |
---|
| 1786 | self.xaxis_unit = xunits |
---|
| 1787 | # Goes through all possible scales |
---|
[121f72c] | 1788 | if self.xLabel == "x": |
---|
[a9d5684] | 1789 | item.transformX(transform.toX, transform.errToX) |
---|
| 1790 | self.graph._xaxis_transformed("%s" % xname, "%s" % xunits) |
---|
[121f72c] | 1791 | if self.xLabel == "x^(2)": |
---|
[a9d5684] | 1792 | item.transformX(transform.toX2, transform.errToX2) |
---|
[3477478] | 1793 | xunits = convert_unit(2, xunits) |
---|
[a9d5684] | 1794 | self.graph._xaxis_transformed("%s^{2}" % xname, "%s" % xunits) |
---|
[121f72c] | 1795 | if self.xLabel == "x^(4)": |
---|
[a9d5684] | 1796 | item.transformX(transform.toX4, transform.errToX4) |
---|
[3477478] | 1797 | xunits = convert_unit(4, xunits) |
---|
[a9d5684] | 1798 | self.graph._xaxis_transformed("%s^{4}" % xname, "%s" % xunits) |
---|
[121f72c] | 1799 | if self.xLabel == "ln(x)": |
---|
[a9d5684] | 1800 | item.transformX(transform.toLogX, transform.errToLogX) |
---|
[b2f21e0d] | 1801 | self.graph._xaxis_transformed("\ln{(%s)}" % xname, "%s" % xunits) |
---|
[121f72c] | 1802 | if self.xLabel == "log10(x)": |
---|
[a9d5684] | 1803 | item.transformX(transform.toX_pos, transform.errToX_pos) |
---|
| 1804 | _xscale = 'log' |
---|
| 1805 | self.graph._xaxis_transformed("%s" % xname, "%s" % xunits) |
---|
[121f72c] | 1806 | if self.xLabel == "log10(x^(4))": |
---|
[a9d5684] | 1807 | item.transformX(transform.toX4, transform.errToX4) |
---|
[3477478] | 1808 | xunits = convert_unit(4, xunits) |
---|
[a9d5684] | 1809 | self.graph._xaxis_transformed("%s^{4}" % xname, "%s" % xunits) |
---|
| 1810 | _xscale = 'log' |
---|
[121f72c] | 1811 | if self.yLabel == "ln(y)": |
---|
[a9d5684] | 1812 | item.transformY(transform.toLogX, transform.errToLogX) |
---|
[b2f21e0d] | 1813 | self.graph._yaxis_transformed("\ln{(%s)}" % yname, "%s" % yunits) |
---|
[121f72c] | 1814 | if self.yLabel == "y": |
---|
[a9d5684] | 1815 | item.transformY(transform.toX, transform.errToX) |
---|
| 1816 | self.graph._yaxis_transformed("%s" % yname, "%s" % yunits) |
---|
[121f72c] | 1817 | if self.yLabel == "log10(y)": |
---|
[a9d5684] | 1818 | item.transformY(transform.toX_pos, transform.errToX_pos) |
---|
| 1819 | _yscale = 'log' |
---|
| 1820 | self.graph._yaxis_transformed("%s" % yname, "%s" % yunits) |
---|
[121f72c] | 1821 | if self.yLabel == "y^(2)": |
---|
[a9d5684] | 1822 | item.transformY(transform.toX2, transform.errToX2) |
---|
[3477478] | 1823 | yunits = convert_unit(2, yunits) |
---|
[a9d5684] | 1824 | self.graph._yaxis_transformed("%s^{2}" % yname, "%s" % yunits) |
---|
[121f72c] | 1825 | if self.yLabel == "1/y": |
---|
[a9d5684] | 1826 | item.transformY(transform.toOneOverX, transform.errOneOverX) |
---|
[3477478] | 1827 | yunits = convert_unit(-1, yunits) |
---|
[a9d5684] | 1828 | self.graph._yaxis_transformed("1/%s" % yname, "%s" % yunits) |
---|
[09d6719] | 1829 | if self.yLabel == "y*x^(2)": |
---|
| 1830 | item.transformY(transform.toYX2, transform.errToYX2) |
---|
[1ed6be7] | 1831 | xunits = convert_unit(2, self.xaxis_unit) |
---|
[09d6719] | 1832 | self.graph._yaxis_transformed("%s \ \ %s^{2}" % (yname, xname), |
---|
| 1833 | "%s%s" % (yunits, xunits)) |
---|
[121f72c] | 1834 | if self.yLabel == "y*x^(4)": |
---|
[a9d5684] | 1835 | item.transformY(transform.toYX4, transform.errToYX4) |
---|
[3477478] | 1836 | xunits = convert_unit(4, self.xaxis_unit) |
---|
[a9d5684] | 1837 | self.graph._yaxis_transformed("%s \ \ %s^{4}" % (yname, xname), |
---|
[121f72c] | 1838 | "%s%s" % (yunits, xunits)) |
---|
| 1839 | if self.yLabel == "1/sqrt(y)": |
---|
[a9d5684] | 1840 | item.transformY(transform.toOneOverSqrtX, |
---|
| 1841 | transform.errOneOverSqrtX) |
---|
[3477478] | 1842 | yunits = convert_unit(-0.5, yunits) |
---|
[a9d5684] | 1843 | self.graph._yaxis_transformed("1/\sqrt{%s}" % yname, |
---|
| 1844 | "%s" % yunits) |
---|
[121f72c] | 1845 | if self.yLabel == "ln(y*x)": |
---|
[a9d5684] | 1846 | item.transformY(transform.toLogXY, transform.errToLogXY) |
---|
[b2f21e0d] | 1847 | self.graph._yaxis_transformed("\ln{(%s \ \ %s)}" % (yname, xname), |
---|
[121f72c] | 1848 | "%s%s" % (yunits, self.xaxis_unit)) |
---|
| 1849 | if self.yLabel == "ln(y*x^(2))": |
---|
| 1850 | item.transformY(transform.toLogYX2, transform.errToLogYX2) |
---|
[3477478] | 1851 | xunits = convert_unit(2, self.xaxis_unit) |
---|
[a9d5684] | 1852 | self.graph._yaxis_transformed("\ln (%s \ \ %s^{2})" % (yname, xname), |
---|
[121f72c] | 1853 | "%s%s" % (yunits, xunits)) |
---|
| 1854 | if self.yLabel == "ln(y*x^(4))": |
---|
[a9d5684] | 1855 | item.transformY(transform.toLogYX4, transform.errToLogYX4) |
---|
[3477478] | 1856 | xunits = convert_unit(4, self.xaxis_unit) |
---|
[a9d5684] | 1857 | self.graph._yaxis_transformed("\ln (%s \ \ %s^{4})" % (yname, xname), |
---|
[121f72c] | 1858 | "%s%s" % (yunits, xunits)) |
---|
| 1859 | if self.yLabel == "log10(y*x^(4))": |
---|
[a9d5684] | 1860 | item.transformY(transform.toYX4, transform.errToYX4) |
---|
[3477478] | 1861 | xunits = convert_unit(4, self.xaxis_unit) |
---|
[a9d5684] | 1862 | _yscale = 'log' |
---|
| 1863 | self.graph._yaxis_transformed("%s \ \ %s^{4}" % (yname, xname), |
---|
[121f72c] | 1864 | "%s%s" % (yunits, xunits)) |
---|
[a9d5684] | 1865 | item.transformView() |
---|
[121f72c] | 1866 | |
---|
[a9d5684] | 1867 | # set new label and units |
---|
| 1868 | yname = self.graph.prop["ylabel"] |
---|
| 1869 | yunits = '' |
---|
| 1870 | xname = self.graph.prop["xlabel"] |
---|
| 1871 | xunits = '' |
---|
[121f72c] | 1872 | |
---|
[a9d5684] | 1873 | self.resetFitView() |
---|
| 1874 | self.prevXtrans = self.xLabel |
---|
| 1875 | self.prevYtrans = self.yLabel |
---|
| 1876 | self.graph.render(self) |
---|
| 1877 | self.set_xscale(_xscale) |
---|
| 1878 | self.set_yscale(_yscale) |
---|
[121f72c] | 1879 | |
---|
[a9d5684] | 1880 | self.xaxis(xname, xunits, self.xaxis_font, |
---|
| 1881 | self.xaxis_color, self.xaxis_tick) |
---|
| 1882 | self.yaxis(yname, yunits, self.yaxis_font, |
---|
| 1883 | self.yaxis_color, self.yaxis_tick) |
---|
| 1884 | self.subplot.texts = self.textList |
---|
| 1885 | if show: |
---|
| 1886 | self.subplot.figure.canvas.draw_idle() |
---|
[121f72c] | 1887 | |
---|
[a9d5684] | 1888 | def onFitDisplay(self, tempx, tempy, xminView, |
---|
| 1889 | xmaxView, xmin, xmax, func): |
---|
| 1890 | """ |
---|
| 1891 | Add a new plottable into the graph .In this case this plottable |
---|
| 1892 | will be used to fit some data |
---|
[121f72c] | 1893 | |
---|
[a9d5684] | 1894 | :param tempx: The x data of fit line |
---|
| 1895 | :param tempy: The y data of fit line |
---|
| 1896 | :param xminView: the lower bound of fitting range |
---|
| 1897 | :param xminView: the upper bound of fitting range |
---|
| 1898 | :param xmin: the lowest value of data to fit to the line |
---|
| 1899 | :param xmax: the highest value of data to fit to the line |
---|
[121f72c] | 1900 | |
---|
[a9d5684] | 1901 | """ |
---|
[1a8e2e8e] | 1902 | xlim = self.subplot.get_xlim() |
---|
| 1903 | ylim = self.subplot.get_ylim() |
---|
| 1904 | |
---|
[a9d5684] | 1905 | # Saving value to redisplay in Fit Dialog when it is opened again |
---|
| 1906 | self.Avalue, self.Bvalue, self.ErrAvalue, \ |
---|
| 1907 | self.ErrBvalue, self.Chivalue = func |
---|
| 1908 | self.xminView = xminView |
---|
| 1909 | self.xmaxView = xmaxView |
---|
| 1910 | self.xmin = xmin |
---|
| 1911 | self.xmax = xmax |
---|
| 1912 | #In case need to change the range of data plotted |
---|
[098f3d2] | 1913 | for item in self.graph.returnPlottable(): |
---|
[a9d5684] | 1914 | item.onFitRange(None, None) |
---|
| 1915 | # Create new data plottable with result |
---|
| 1916 | self.fit_result.x = [] |
---|
| 1917 | self.fit_result.y = [] |
---|
| 1918 | self.fit_result.x = tempx |
---|
| 1919 | self.fit_result.y = tempy |
---|
| 1920 | self.fit_result.dx = None |
---|
| 1921 | self.fit_result.dy = None |
---|
| 1922 | #Load the view with the new values |
---|
| 1923 | self.fit_result.reset_view() |
---|
| 1924 | # Add the new plottable to the graph |
---|
| 1925 | self.graph.add(self.fit_result) |
---|
| 1926 | self.graph.render(self) |
---|
| 1927 | self._offset_graph() |
---|
[2f12acc] | 1928 | if hasattr(self, 'plots'): |
---|
| 1929 | # Used by Plotter1D |
---|
| 1930 | fit_id = 'fit' |
---|
| 1931 | self.fit_result.id = fit_id |
---|
| 1932 | self.fit_result.title = 'Fit' |
---|
| 1933 | self.fit_result.name = 'Fit' |
---|
| 1934 | self.plots[fit_id] = self.fit_result |
---|
[1a8e2e8e] | 1935 | self.subplot.set_xlim(xlim) |
---|
| 1936 | self.subplot.set_ylim(ylim) |
---|
[a9d5684] | 1937 | self.subplot.figure.canvas.draw_idle() |
---|
| 1938 | |
---|
| 1939 | def onChangeCaption(self, event): |
---|
| 1940 | """ |
---|
| 1941 | """ |
---|
| 1942 | if self.parent == None: |
---|
| 1943 | return |
---|
| 1944 | # get current caption |
---|
| 1945 | old_caption = self.window_caption |
---|
| 1946 | # Get new caption dialog |
---|
| 1947 | dial = LabelDialog(None, -1, 'Modify Window Title', old_caption) |
---|
| 1948 | if dial.ShowModal() == wx.ID_OK: |
---|
| 1949 | new_caption = dial.getText() |
---|
[121f72c] | 1950 | |
---|
[a9d5684] | 1951 | # send to guiframe to change the panel caption |
---|
| 1952 | caption = self.parent.on_change_caption(self.window_name, |
---|
| 1953 | old_caption, new_caption) |
---|
[121f72c] | 1954 | |
---|
[a9d5684] | 1955 | # also set new caption in plot_panels list |
---|
| 1956 | self.parent.plot_panels[self.uid].window_caption = caption |
---|
| 1957 | # set new caption |
---|
| 1958 | self.window_caption = caption |
---|
[121f72c] | 1959 | |
---|
[a9d5684] | 1960 | dial.Destroy() |
---|
[121f72c] | 1961 | |
---|
[a9d5684] | 1962 | def onResetGraph(self, event): |
---|
| 1963 | """ |
---|
| 1964 | Reset the graph by plotting the full range of data |
---|
| 1965 | """ |
---|
[098f3d2] | 1966 | for item in self.graph.returnPlottable(): |
---|
[a9d5684] | 1967 | item.onReset() |
---|
| 1968 | self.graph.render(self) |
---|
| 1969 | self._onEVT_FUNC_PROPERTY(False) |
---|
[cafa75f] | 1970 | self.is_zoomed = False |
---|
[a9d5684] | 1971 | self.toolbar.update() |
---|
[121f72c] | 1972 | |
---|
[d3d67f0] | 1973 | def onPrint(self, event=None): |
---|
| 1974 | self.toolbar.print_figure(event) |
---|
| 1975 | |
---|
[a9d5684] | 1976 | def onPrinterSetup(self, event=None): |
---|
| 1977 | """ |
---|
| 1978 | """ |
---|
| 1979 | self.canvas.Printer_Setup(event=event) |
---|
| 1980 | self.Update() |
---|
| 1981 | |
---|
| 1982 | def onPrinterPreview(self, event=None): |
---|
| 1983 | """ |
---|
[1170492] | 1984 | Matplotlib camvas can no longer print itself. Thus need to do |
---|
| 1985 | everything ourselves: need to create a printpreview frame to to |
---|
| 1986 | see the preview but needs a parent frame object. Also needs a |
---|
| 1987 | printout object (just as any printing task). |
---|
[a9d5684] | 1988 | """ |
---|
| 1989 | try: |
---|
[1170492] | 1990 | #check if parent is a frame. If not keep getting the higher |
---|
| 1991 | #parent till we find a frame |
---|
| 1992 | _plot = self |
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| 1993 | while not isinstance(_plot, wx.Frame): |
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| 1994 | _plot = _plot.GetParent() |
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| 1995 | assert _plot is not None |
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| 1996 | |
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| 1997 | #now create the printpeview object |
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[d3d67f0] | 1998 | _preview = wx.PrintPreview(PlotPrintout(self.canvas), |
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| 1999 | PlotPrintout(self.canvas)) |
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[1170492] | 2000 | #and tie it to a printpreview frame then show it |
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| 2001 | _frame = wx.PreviewFrame(_preview, _plot, "Print Preview", wx.Point(100, 100), wx.Size(600, 650)) |
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| 2002 | _frame.Centre(wx.BOTH) |
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| 2003 | _frame.Initialize() |
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| 2004 | _frame.Show(True) |
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[a9d5684] | 2005 | except: |
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[1170492] | 2006 | traceback.print_exc() |
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[a9d5684] | 2007 | pass |
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[121f72c] | 2008 | |
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[a9d5684] | 2009 | def OnCopyFigureMenu(self, evt): |
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| 2010 | """ |
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| 2011 | Copy the current figure to clipboard |
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| 2012 | """ |
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| 2013 | try: |
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[16b769b] | 2014 | self.toolbar.copy_figure(self.canvas) |
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[a9d5684] | 2015 | except: |
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| 2016 | print "Error in copy Image" |
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| 2017 | |
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[121f72c] | 2018 | |
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[a9d5684] | 2019 | #--------------------------------------------------------------- |
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| 2020 | class NoRepaintCanvas(FigureCanvasWxAgg): |
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| 2021 | """ |
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| 2022 | We subclass FigureCanvasWxAgg, overriding the _onPaint method, so that |
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| 2023 | the draw method is only called for the first two paint events. After that, |
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| 2024 | the canvas will only be redrawn when it is resized. |
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[121f72c] | 2025 | |
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[a9d5684] | 2026 | """ |
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| 2027 | def __init__(self, *args, **kwargs): |
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| 2028 | """ |
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| 2029 | """ |
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| 2030 | FigureCanvasWxAgg.__init__(self, *args, **kwargs) |
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| 2031 | self._drawn = 0 |
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| 2032 | |
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| 2033 | def _onPaint(self, evt): |
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| 2034 | """ |
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| 2035 | Called when wxPaintEvt is generated |
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[121f72c] | 2036 | |
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[a9d5684] | 2037 | """ |
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| 2038 | if not self._isRealized: |
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| 2039 | self.realize() |
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| 2040 | if self._drawn < 2: |
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| 2041 | self.draw(repaint=False) |
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| 2042 | self._drawn += 1 |
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| 2043 | self.gui_repaint(drawDC=wx.PaintDC(self)) |
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