wxplot upgedatet
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@ -314,7 +314,7 @@ class buildpanel(tk.Frame):
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def updateplot(self, CCDplot):
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#This subtracts the ADC-pixel from ADC-dark
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print("update plot "+str(config.datainvert))
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### jfs print("update plot "+str(config.datainvert))
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if (config.datainvert==1):
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config.pltData16 = (config.rxData16[10]+config.rxData16[11])/2 - config.rxData16
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#This subtracts the average difference between even and odd pixels from the even pixels
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Binary file not shown.
329
wxplot.py
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329
wxplot.py
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@ -0,0 +1,329 @@
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"""
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This demo demonstrates how to draw a dynamic mpl (matplotlib)
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plot in a wxPython application.
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It allows "live" plotting as well as manual zooming to specific
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regions.
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Both X and Y axes allow "auto" or "manual" settings. For Y, auto
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mode sets the scaling of the graph to see all the data points.
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For X, auto mode makes the graph "follow" the data. Set it X min
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to manual 0 to always see the whole data from the beginning.
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Note: press Enter in the 'manual' text box to make a new value
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affect the plot.
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Eli Bendersky (eliben@gmail.com)
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License: this code is in the public domain
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Last modified: 31.07.2008
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"""
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import os
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import pprint
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import random
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import sys
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import wx
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# The recommended way to use wx with mpl is with the WXAgg
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# backend.
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#
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import matplotlib
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matplotlib.use('WXAgg')
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from matplotlib.figure import Figure
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from matplotlib.backends.backend_wxagg import \
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FigureCanvasWxAgg as FigCanvas, \
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NavigationToolbar2WxAgg as NavigationToolbar
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import numpy as np
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import pylab
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class DataGen(object):
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""" A silly class that generates pseudo-random data for
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display in the plot.
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"""
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def __init__(self, init=50):
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self.data = self.init = init
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def next(self):
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self._recalc_data()
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return self.data
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def _recalc_data(self):
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delta = random.uniform(-0.5, 0.5)
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r = random.random()
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if r > 0.9:
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self.data += delta * 15
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elif r > 0.8:
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# attraction to the initial value
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delta += (0.5 if self.init > self.data else -0.5)
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self.data += delta
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else:
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self.data += delta
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class BoundControlBox(wx.Panel):
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""" A static box with a couple of radio buttons and a text
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box. Allows to switch between an automatic mode and a
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manual mode with an associated value.
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"""
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def __init__(self, parent, ID, label, initval):
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wx.Panel.__init__(self, parent, ID)
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self.value = initval
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box = wx.StaticBox(self, -1, label)
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sizer = wx.StaticBoxSizer(box, wx.VERTICAL)
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self.radio_auto = wx.RadioButton(self, -1,
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label="Auto", style=wx.RB_GROUP)
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self.radio_manual = wx.RadioButton(self, -1,
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label="Manual")
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self.manual_text = wx.TextCtrl(self, -1,
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size=(35,-1),
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value=str(initval),
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style=wx.TE_PROCESS_ENTER)
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self.Bind(wx.EVT_UPDATE_UI, self.on_update_manual_text, self.manual_text)
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self.Bind(wx.EVT_TEXT_ENTER, self.on_text_enter, self.manual_text)
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manual_box = wx.BoxSizer(wx.HORIZONTAL)
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manual_box.Add(self.radio_manual, flag=wx.ALIGN_CENTER_VERTICAL)
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manual_box.Add(self.manual_text, flag=wx.ALIGN_CENTER_VERTICAL)
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sizer.Add(self.radio_auto, 0, wx.ALL, 10)
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sizer.Add(manual_box, 0, wx.ALL, 10)
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self.SetSizer(sizer)
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sizer.Fit(self)
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def on_update_manual_text(self, event):
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self.manual_text.Enable(self.radio_manual.GetValue())
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def on_text_enter(self, event):
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self.value = self.manual_text.GetValue()
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def is_auto(self):
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return self.radio_auto.GetValue()
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def manual_value(self):
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return self.value
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class GraphFrame(wx.Frame):
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""" The main frame of the application
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"""
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title = 'Demo: dynamic matplotlib graph'
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def __init__(self):
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wx.Frame.__init__(self, None, -1, self.title)
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self.datagen = DataGen()
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self.data = [self.datagen.next()]
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self.paused = False
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self.create_menu()
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self.create_status_bar()
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self.create_main_panel()
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self.redraw_timer = wx.Timer(self)
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self.Bind(wx.EVT_TIMER, self.on_redraw_timer, self.redraw_timer)
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self.redraw_timer.Start(100)
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def create_menu(self):
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self.menubar = wx.MenuBar()
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menu_file = wx.Menu()
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m_expt = menu_file.Append(-1, "&Save plot\tCtrl-S", "Save plot to file")
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self.Bind(wx.EVT_MENU, self.on_save_plot, m_expt)
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menu_file.AppendSeparator()
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m_exit = menu_file.Append(-1, "E&xit\tCtrl-X", "Exit")
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self.Bind(wx.EVT_MENU, self.on_exit, m_exit)
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self.menubar.Append(menu_file, "&File")
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self.SetMenuBar(self.menubar)
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def create_main_panel(self):
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self.panel = wx.Panel(self)
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self.init_plot()
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self.canvas = FigCanvas(self.panel, -1, self.fig)
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self.xmin_control = BoundControlBox(self.panel, -1, "X min", 0)
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self.xmax_control = BoundControlBox(self.panel, -1, "X max", 50)
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self.ymin_control = BoundControlBox(self.panel, -1, "Y min", 0)
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self.ymax_control = BoundControlBox(self.panel, -1, "Y max", 100)
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self.pause_button = wx.Button(self.panel, -1, "Pause")
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self.Bind(wx.EVT_BUTTON, self.on_pause_button, self.pause_button)
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self.Bind(wx.EVT_UPDATE_UI, self.on_update_pause_button, self.pause_button)
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self.cb_grid = wx.CheckBox(self.panel, -1,
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"Show Grid",
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style=wx.ALIGN_RIGHT)
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self.Bind(wx.EVT_CHECKBOX, self.on_cb_grid, self.cb_grid)
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self.cb_grid.SetValue(True)
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self.cb_xlab = wx.CheckBox(self.panel, -1,
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"Show X labels",
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style=wx.ALIGN_RIGHT)
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self.Bind(wx.EVT_CHECKBOX, self.on_cb_xlab, self.cb_xlab)
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self.cb_xlab.SetValue(True)
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self.hbox1 = wx.BoxSizer(wx.HORIZONTAL)
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self.hbox1.Add(self.pause_button, border=5, flag=wx.ALL | wx.ALIGN_CENTER_VERTICAL)
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self.hbox1.AddSpacer(20)
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self.hbox1.Add(self.cb_grid, border=5, flag=wx.ALL | wx.ALIGN_CENTER_VERTICAL)
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self.hbox1.AddSpacer(10)
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self.hbox1.Add(self.cb_xlab, border=5, flag=wx.ALL | wx.ALIGN_CENTER_VERTICAL)
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self.hbox2 = wx.BoxSizer(wx.HORIZONTAL)
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self.hbox2.Add(self.xmin_control, border=5, flag=wx.ALL)
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self.hbox2.Add(self.xmax_control, border=5, flag=wx.ALL)
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self.hbox2.AddSpacer(24)
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self.hbox2.Add(self.ymin_control, border=5, flag=wx.ALL)
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self.hbox2.Add(self.ymax_control, border=5, flag=wx.ALL)
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self.vbox = wx.BoxSizer(wx.VERTICAL)
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self.vbox.Add(self.canvas, 1, flag=wx.LEFT | wx.TOP | wx.GROW)
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self.vbox.Add(self.hbox1, 0, flag=wx.ALIGN_LEFT | wx.TOP)
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self.vbox.Add(self.hbox2, 0, flag=wx.ALIGN_LEFT | wx.TOP)
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self.panel.SetSizer(self.vbox)
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self.vbox.Fit(self)
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def create_status_bar(self):
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self.statusbar = self.CreateStatusBar()
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def init_plot(self):
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self.dpi = 100
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self.fig = Figure((3.0, 3.0), dpi=self.dpi)
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self.axes = self.fig.add_subplot(111)
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self.axes.set_facecolor('black')
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self.axes.set_title('Very important random data', size=12)
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pylab.setp(self.axes.get_xticklabels(), fontsize=8)
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pylab.setp(self.axes.get_yticklabels(), fontsize=8)
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# plot the data as a line series, and save the reference
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# to the plotted line series
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#
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self.plot_data = self.axes.plot(
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self.data,
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linewidth=1,
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color=(1, 1, 0),
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)[0]
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def draw_plot(self):
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""" Redraws the plot
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"""
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# when xmin is on auto, it "follows" xmax to produce a
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# sliding window effect. therefore, xmin is assigned after
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# xmax.
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#
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if self.xmax_control.is_auto():
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xmax = len(self.data) if len(self.data) > 50 else 50
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else:
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xmax = int(self.xmax_control.manual_value())
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if self.xmin_control.is_auto():
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xmin = xmax - 50
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else:
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xmin = int(self.xmin_control.manual_value())
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# for ymin and ymax, find the minimal and maximal values
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# in the data set and add a mininal margin.
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#
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# note that it's easy to change this scheme to the
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# minimal/maximal value in the current display, and not
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# the whole data set.
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#
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if self.ymin_control.is_auto():
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ymin = round(min(self.data), 0) - 1
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else:
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ymin = int(self.ymin_control.manual_value())
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if self.ymax_control.is_auto():
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ymax = round(max(self.data), 0) + 1
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else:
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ymax = int(self.ymax_control.manual_value())
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self.axes.set_xbound(lower=xmin, upper=xmax)
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self.axes.set_ybound(lower=ymin, upper=ymax)
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# anecdote: axes.grid assumes b=True if any other flag is
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# given even if b is set to False.
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# so just passing the flag into the first statement won't
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# work.
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#
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if self.cb_grid.IsChecked():
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self.axes.grid(True, color='gray')
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else:
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self.axes.grid(False)
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# Using setp here is convenient, because get_xticklabels
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# returns a list over which one needs to explicitly
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# iterate, and setp already handles this.
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#
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pylab.setp(self.axes.get_xticklabels(),
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visible=self.cb_xlab.IsChecked())
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self.plot_data.set_xdata(np.arange(len(self.data)))
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self.plot_data.set_ydata(np.array(self.data))
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self.canvas.draw()
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def on_pause_button(self, event):
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self.paused = not self.paused
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def on_update_pause_button(self, event):
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label = "Resume" if self.paused else "Pause"
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self.pause_button.SetLabel(label)
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def on_cb_grid(self, event):
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self.draw_plot()
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def on_cb_xlab(self, event):
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self.draw_plot()
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def on_save_plot(self, event):
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file_choices = "PNG (*.png)|*.png"
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dlg = wx.FileDialog(
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self,
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message="Save plot as...",
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defaultDir=os.getcwd(),
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defaultFile="plot.png",
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wildcard=file_choices,
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style=wx.SAVE)
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if dlg.ShowModal() == wx.ID_OK:
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path = dlg.GetPath()
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self.canvas.print_figure(path, dpi=self.dpi)
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self.flash_status_message("Saved to %s" % path)
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def on_redraw_timer(self, event):
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# if paused do not add data, but still redraw the plot
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# (to respond to scale modifications, grid change, etc.)
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#
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if not self.paused:
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self.data.append(self.datagen.next())
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self.draw_plot()
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def on_exit(self, event):
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self.Destroy()
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def flash_status_message(self, msg, flash_len_ms=1500):
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self.statusbar.SetStatusText(msg)
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self.timeroff = wx.Timer(self)
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self.Bind(
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wx.EVT_TIMER,
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self.on_flash_status_off,
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self.timeroff)
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self.timeroff.Start(flash_len_ms, oneShot=True)
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def on_flash_status_off(self, event):
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self.statusbar.SetStatusText('')
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if __name__ == '__main__':
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app = wx.App()
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app.frame = GraphFrame()
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app.frame.Show()
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app.MainLoop()
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