class ReflexInteractiveWxApp(wx.App):
def __init__(self, interactive_app, dataPlotManager):
self.inter_app = interactive_app
self.dataPlotManager = dataPlotManager
# Initialize wx GUI application
wx.App.__init__(self, 0)
def OnInit(self):
'Create the main window and insert the custom frame'
if hasattr(self.dataPlotManager, 'xrc_file') and \
self.dataPlotManager.xrc_file != None:
respath = self.dataPlotManager.xrc_file
else:
respath = os.path.join(os.path.dirname(__file__),
'reflex_interactive_gui.xrc')
self.res = xrc.XmlResource(respath)
self.frame = self.res.LoadFrame(None, 'ReflexInteractiveWxApp')
self.setXrcObjects()
self.bindXrcObjects()
self.setFitsFiles()
self.setWindowTitle()
self.setDatasetInfoText()
self.setupParameters()
self.createPlotsArea()
self.connectPlottingWidgets()
self.frame.Show(True)
return True
def setXrcObjects(self):
self.plotPanel = xrc.XRCCTRL(self.frame, 'plotPanel')
self.statusBar = xrc.XRCCTRL(self.frame, 'statusBar')
self.parameterNotebook = xrc.XRCCTRL(self.frame, 'parameterNotebook')
self.datasetInfoText = xrc.XRCCTRL(self.frame, 'datasetInfoText')
self.setDisableCheck = xrc.XRCCTRL(self.frame, 'setDisableCheck')
self.setInitSopCheck = xrc.XRCCTRL(self.frame, 'setInitSopCheck')
if (not self.inter_app.is_init_sop_enable()):
self.setInitSopCheck.Hide()
def bindXrcObjects(self):
self.Bind(wx.EVT_BUTTON, self.onCont, id=xrc.XRCID('contBtn'))
self.Bind(wx.EVT_BUTTON, self.onRepeat, id=xrc.XRCID('repeatBtn'))
self.Bind(wx.EVT_BUTTON, self.onHelp, id=xrc.XRCID('helpBtn'))
self.Bind(wx.EVT_CHECKBOX, self.onSetDisable, self.setDisableCheck)
if (self.inter_app.is_init_sop_enable()):
self.Bind(wx.EVT_CHECKBOX, self.onSetInitSop, self.setInitSopCheck)
def setWindowTitle(self):
if not self.frame:
raise Exception("Frame not found")
if hasattr(self.dataPlotManager, 'setWindowTitle'):
self.frame.SetTitle(self.dataPlotManager.setWindowTitle())
def setupParameters(self):
# Get the list of recipe parameter groups
self.requestedParamList = self.dataPlotManager.setInteractiveParameters(
)
parameterGroups = list()
for param in self.requestedParamList:
if parameterGroups.count(param.group) == 0:
parameterGroups.append(param.group)
self.parameterGrid = {}
self.parameterTabs = {}
for paramGroup in parameterGroups:
self.parameterGrid[paramGroup] = wx.FlexGridSizer(cols=2,
vgap=4,
hgap=4)
self.parameterGrid[paramGroup].AddGrowableCol(1)
self.parameterTabs[paramGroup] = wx.Panel(self.parameterNotebook)
self.parameterTabs[paramGroup].SetSizer(
self.parameterGrid[paramGroup], 1)
self.parameterNotebook.AddPage(self.parameterTabs[paramGroup],
paramGroup)
# The widgets for the parameters
self.shownParam = list()
self.shownParamWidgets = list()
for param in self.requestedParamList:
for param_in_sop in self.inter_app.inputs.in_sop:
if param_in_sop.recipe == param.recipe and \
param_in_sop.displayName == param.displayName:
param.value = param_in_sop.value
param.name = param_in_sop.name
self.shownParam.append(param)
paramWidget = ParamWidget(self.parameterTabs[param.group],
param)
self.shownParamWidgets.append((param.group, paramWidget))
# Pack parameter widgets
for (paramGroup, paramWidget) in self.shownParamWidgets:
self.parameterGrid[paramGroup].Add(paramWidget.paramLabel,
flag=wx.ALL
| wx.ALIGN_CENTER_VERTICAL,
border=5)
self.parameterGrid[paramGroup].Add(paramWidget.paramEditText,
flag=wx.EXPAND | wx.ALL
| wx.ALIGN_RIGHT,
border=5)
def createPlotsArea(self):
# Read the pipeline data
self.dataPlotManager.readFitsData(self.all_fitsFiles)
# The matplotlib figure
self.figure = Figure()
self.figureCanvas = FigureCanvasWxAgg(self.plotPanel, wx.ID_ANY,
self.figure)
# self.canvas.SetToolTip(wx.ToolTip(tip = ''))
# Setup toolbar
self.toolbar = reflex_navigation_toolbar.ReflexNavigationToolbar(
self.figureCanvas)
self.frame.SetToolBar(self.toolbar)
# Bind actions for status bar and tooltips
self.figureCanvas.mpl_connect('motion_notify_event', self.onMotion)
self.figureCanvas.mpl_connect('axes_enter_event', self.onEnterAxes)
self.figureCanvas.mpl_connect('axes_leave_event', self.onLeaveAxes)
# Bind actions for proper size
self.plotPanel.Bind(wx.EVT_SIZE, self.onResize)
self.plotPanel.Bind(wx.EVT_IDLE, self.onIdle)
self.needs_resize = False
self.dataPlotManager.addSubplots(self.figure)
self.dataPlotManager.plotProductsGraphics()
self.figure.subplots_adjust(wspace=0.40,
hspace=0.40,
top=0.93,
bottom=0.07,
left=0.1,
right=0.95)
def setFitsFiles(self):
try:
self.in_sof_fitsFiles = self.inter_app.inputs.in_sof.files
self.dataset = self.inter_app.inputs.in_sof.datasetName
self.in_sof_rec_orig_fitsFiles = self.inter_app.inputs.in_sof_rec_orig.files
self.all_fitsFiles = self.in_sof_fitsFiles + \
self.in_sof_rec_orig_fitsFiles
if len(self.in_sof_rec_orig_fitsFiles) == 0:
self.purposes = 'INVALID'
else:
self.purposes = self.in_sof_rec_orig_fitsFiles[0].purposes
except ValueError:
print "Error parsing input sof."
print "Syntax should be LOSO_NAME|file1;CATEGORY;PURPOSE,file2;..."
sys.exit()
def setDatasetInfoText(self):
# The general info status bar
datasetInfoAreaText = ''' This data belongs to dataset:
''' + self.dataset
self.datasetInfoText.SetLabel(datasetInfoAreaText)
def connectPlottingWidgets(self):
if hasattr(self.dataPlotManager, 'plotWidgets'):
self.widgets = self.dataPlotManager.plotWidgets()
for widget in self.widgets:
widget.setPostCallback(self.onPlotWidgetEvent)
def onPlotWidgetEvent(self, new_params=None):
self.figureCanvas.draw()
if new_params is not None:
for new_param in new_params:
for widget in self.shownParamWidgets:
if new_param.displayName == widget[
1].parameter.displayName:
widget[1].paramEditText.SetValue(new_param.value)
def onCont(self, event):
self.inter_app.set_continue_mode()
self.frame.Close(True)
def onRepeat(self, event):
# This will update the output parameters based on the entry boxes.
# It also contains all the parameters that are not shown in the window
user_edited_param = list()
for param_in_sop in self.inter_app.inputs.in_sop:
newParam = param_in_sop
for (paramGroup, paramWidget) in self.shownParamWidgets:
if param_in_sop.displayName == paramWidget.parameter.displayName and \
param_in_sop.recipe == paramWidget.parameter.recipe:
paramWidget.setValue(event=None)
newParam = paramWidget.parameter
user_edited_param.append(newParam)
self.inter_app.set_repeat_mode(user_edited_param)
self.frame.Close(True)
def onHelp(self, event):
window_help_msg = self.dataPlotManager.setWindowHelp()
general_help_msg = """
The window has several parts:\n
1. Plot area. This area shows how good the reduction was performed
2. Parameter area. This area shows the parameters used for the execution of the recipe. The parameters can be changed if the recipe has to be re-run with new parameters
3. Button area. These buttons control the interactivity of the window\n
a) Continue wkf. This button sends the current results to the next recipe in the workflow.\n
b) Re-run recipe. This button will execute the predict recipe again with the new parameters\n
d) Help. This button shows this help
4. Top toolbar area. These buttons allow certain interactivity with the plots (zoom, shift, layout) as well as exporting to png
"""
dlg = wx.MessageDialog(self.frame, window_help_msg + general_help_msg,
self.dataPlotManager.setWindowTitle() + " Help",
wx.OK | wx.ICON_INFORMATION)
dlg.ShowModal()
dlg.Destroy()
def onSetDisable(self, event):
if self.setDisableCheck.GetValue():
self.inter_app.set_disable_next_iteration()
def onSetInitSop(self, event):
if self.setInitSopCheck.GetValue():
self.inter_app.set_next_init_sop()
def onMotion(self, event):
if event.inaxes:
self.statusBar.SetStatusText(
event.inaxes.format_coord(event.xdata, event.ydata))
else:
self.statusBar.SetStatusText((''), 0)
def onEnterAxes(self, event):
if hasattr(event.inaxes, 'tooltip'):
tip = self.figureCanvas.GetToolTip()
if not tip:
tip = wx.ToolTip(tip=event.inaxes.tooltip)
self.figureCanvas.SetToolTip(tip)
else:
tip.SetTip(event.inaxes.tooltip)
tip.Enable(True)
def onLeaveAxes(self, event):
try:
self.figureCanvas.GetToolTip().Enable(False)
except:
pass
def onResize(self, event):
self.needs_resize = True
def onIdle(self, event):
if self.needs_resize:
self.figureCanvas.SetSize(self.plotPanel.GetSize())
self.needs_resize = False
wx.WakeUpIdle()
class PanelGraph(wx.Panel):
def __init__(self, panel, notify, settings, status, remoteControl):
self.panel = panel
self.notify = notify
self.plot = None
self.settings = settings
self.status = status
self.remoteControl = remoteControl
self.spectrum = None
self.isLimited = None
self.limit = None
self.extent = None
self.annotate = None
self.isDrawing = False
self.toolTip = wx.ToolTip('')
self.mouseSelect = None
self.mouseZoom = None
self.measureTable = None
self.background = None
self.selectStart = None
self.selectEnd = None
self.menuClearSelect = []
self.measure = None
self.show = None
self.doDraw = False
wx.Panel.__init__(self, panel)
self.figure = matplotlib.figure.Figure(facecolor='white')
self.figure.set_size_inches(0, 0)
self.canvas = FigureCanvas(self, -1, self.figure)
self.canvas.SetToolTip(self.toolTip)
self.measureTable = PanelMeasure(self, settings)
self.toolbar = NavigationToolbar(self.canvas, self, settings,
self.__hide_overlay)
self.toolbar.Realize()
vbox = wx.BoxSizer(wx.VERTICAL)
vbox.Add(self.canvas, 1, wx.EXPAND)
vbox.Add(self.measureTable, 0, wx.EXPAND)
vbox.Add(self.toolbar, 0, wx.EXPAND)
self.SetSizer(vbox)
vbox.Fit(self)
self.create_plot()
self.canvas.mpl_connect('button_press_event', self.__on_press)
self.canvas.mpl_connect('figure_enter_event', self.__on_enter)
self.canvas.mpl_connect('axes_leave_event', self.__on_leave)
self.canvas.mpl_connect('motion_notify_event', self.__on_motion)
self.canvas.mpl_connect('draw_event', self.__on_draw)
self.canvas.mpl_connect('idle_event', self.__on_idle)
self.Bind(wx.EVT_SIZE, self.__on_size)
self.timer = wx.Timer(self)
self.Bind(wx.EVT_TIMER, self.__on_timer, self.timer)
def __set_fonts(self):
axes = self.plot.get_axes()
if axes is not None:
axes.xaxis.label.set_size('small')
axes.yaxis.label.set_size('small')
if self.settings.display == Display.SURFACE:
axes.zaxis.label.set_size('small')
axes.tick_params(axis='both', which='major', labelsize='small')
axes = self.plot.get_axes_bar()
if axes is not None:
axes.tick_params(axis='both', which='major', labelsize='small')
def __enable_menu(self, state):
for menu in self.menuClearSelect:
menu.Enable(state)
def __on_press(self, event):
if self.settings.clickTune and matplotlib.__version__ >= '1.2' and event.dblclick:
frequency = int(event.xdata * 1e6)
self.remoteControl.tune(frequency)
elif isinstance(self.plot, PlotterPreview):
self.plot.to_front()
def __on_enter(self, _event):
self.toolTip.Enable(False)
def __on_leave(self, _event):
self.toolTip.Enable(True)
self.status.set_info('', level=None)
def __on_motion(self, event):
axes = self.plot.get_axes()
axesBar = self.plot.get_axes_bar()
xpos = event.xdata
ypos = event.ydata
text = ""
if (xpos is None or ypos is None or self.spectrum is None
or event.inaxes is None):
spectrum = None
elif event.inaxes == axesBar:
spectrum = None
level = self.plot.get_bar().norm.inverse(ypos)
text = "{}".format(format_precision(self.settings, level=level))
elif self.settings.display == Display.PLOT:
timeStamp = max(self.spectrum)
spectrum = self.spectrum[timeStamp]
elif self.settings.display == Display.SPECT:
timeStamp = num2epoch(ypos)
if timeStamp in self.spectrum:
spectrum = self.spectrum[timeStamp]
else:
nearest = min(self.spectrum.keys(),
key=lambda k: abs(k - timeStamp))
spectrum = self.spectrum[nearest]
elif self.settings.display == Display.SURFACE:
spectrum = None
coords = axes.format_coord(event.xdata, event.ydata)
match = re.match('x=([-|0-9|\.]+).*y=([0-9|\:]+).*z=([-|0-9|\.]+)',
coords)
if match is not None and match.lastindex == 3:
freq = float(match.group(1))
level = float(match.group(3))
text = "{}, {}".format(
*format_precision(self.settings, freq, level))
else:
spectrum = None
if spectrum is not None and len(spectrum) > 0:
x = min(spectrum.keys(), key=lambda freq: abs(freq - xpos))
if min(spectrum.keys(), key=float) <= xpos <= max(spectrum.keys(),
key=float):
y = spectrum[x]
text = "{}, {}".format(*format_precision(self.settings, x, y))
else:
text = format_precision(self.settings, xpos)
markers = find_artists(self.figure, 'peak')
markers.extend(find_artists(self.figure, 'peakThres'))
hit = False
for marker in markers:
if isinstance(marker, Line2D):
location = marker.get_path().vertices[0]
markX, markY = axes.transData.transform(location)
dist = abs(math.hypot(event.x - markX, event.y - markY))
if dist <= 5:
if self.settings.display == Display.PLOT:
tip = "{}, {}".format(*format_precision(
self.settings, location[0], location[1]))
else:
tip = "{}".format(
format_precision(self.settings, location[0]))
self.toolTip.SetTip(tip)
hit = True
break
self.toolTip.Enable(hit)
self.status.set_info(text, level=None)
def __on_size(self, event):
ppi = wx.ScreenDC().GetPPI()
size = [float(v) for v in self.canvas.GetSize()]
width = size[0] / ppi[0]
height = size[1] / ppi[1]
self.figure.set_figwidth(width)
self.figure.set_figheight(height)
self.figure.set_dpi(ppi[0])
event.Skip()
def __on_draw(self, _event):
axes = self.plot.get_axes()
if axes is not None:
self.background = self.canvas.copy_from_bbox(axes.bbox)
self.__draw_overlay()
def __on_idle(self, _event):
if self.doDraw and self.plot.get_plot_thread() is None:
self.__hide_overlay()
self.doDraw = False
if os.name == 'nt':
threading.Thread(target=self.__draw_canvas,
name='Draw').start()
else:
self.__draw_canvas()
def __on_timer(self, _event):
self.timer.Stop()
self.set_plot(None, None, None, None, self.annotate)
def __draw_canvas(self):
try:
self.isDrawing = True
self.canvas.draw()
except wx.PyDeadObjectError:
pass
self.isDrawing = False
wx.CallAfter(self.status.set_busy, False)
def __draw_overlay(self):
if self.background is not None:
self.canvas.restore_region(self.background)
self.__draw_select()
self.draw_measure()
axes = self.plot.get_axes()
if axes is not None:
self.canvas.blit(axes.bbox)
def __draw_select(self):
if self.selectStart is not None and self.selectEnd is not None:
self.mouseSelect.draw(self.selectStart, self.selectEnd)
def __hide_overlay(self):
if self.plot is not None:
self.plot.hide_measure()
self.__hide_select()
def __hide_select(self):
if self.mouseSelect is not None:
self.mouseSelect.hide()
def create_plot(self):
if self.plot is not None:
self.plot.close()
self.toolbar.set_auto(True)
if self.settings.display == Display.PLOT:
self.plot = Plotter(self.notify, self.figure, self.settings)
elif self.settings.display == Display.SPECT:
self.plot = Spectrogram(self.notify, self.figure, self.settings)
elif self.settings.display == Display.SURFACE:
self.plot = Plotter3d(self.notify, self.figure, self.settings)
elif self.settings.display == Display.STATUS:
self.plot = PlotterStatus(self.notify, self.figure, self.settings)
elif self.settings.display == Display.TIMELINE:
self.plot = PlotterTime(self.notify, self.figure, self.settings)
elif self.settings.display == Display.PREVIEW:
self.plot = PlotterPreview(self.notify, self.figure, self.settings)
self.plot.set_window(self)
self.__set_fonts()
self.toolbar.set_plot(self.plot)
self.toolbar.set_type(self.settings.display)
self.measureTable.set_type(self.settings.display)
self.set_plot_title()
self.figure.subplots_adjust(top=0.85)
self.redraw_plot()
self.plot.scale_plot(True)
self.mouseZoom = MouseZoom(self.toolbar,
plot=self.plot,
callbackHide=self.__hide_overlay)
self.mouseSelect = MouseSelect(self.plot, self.on_select,
self.on_selected)
self.measureTable.show(self.settings.showMeasure)
self.panel.SetFocus()
def on_select(self):
self.hide_measure()
def on_selected(self, start, end):
self.__enable_menu(True)
self.selectStart = start
self.selectEnd = end
self.measureTable.set_selected(self.spectrum, start, end)
def add_menu_clear_select(self, menu):
self.menuClearSelect.append(menu)
menu.Enable(False)
def draw(self):
self.doDraw = True
def show_measure_table(self, show):
self.measureTable.show(show)
self.Layout()
def set_plot(self, spectrum, isLimited, limit, extent, annotate=False):
if spectrum is not None and extent is not None:
if isLimited is not None and limit is not None:
self.spectrum = copy.copy(spectrum)
self.extent = extent
self.annotate = annotate
self.isLimited = isLimited
self.limit = limit
if self.plot.get_plot_thread() is None and not self.isDrawing:
self.timer.Stop()
self.measureTable.set_selected(self.spectrum, self.selectStart,
self.selectEnd)
if isLimited:
self.spectrum = reduce_points(spectrum, limit)
self.status.set_busy(True)
self.plot.set_plot(self.spectrum, self.extent, annotate)
if self.settings.display == Display.PREVIEW:
self.status.set_busy(False)
else:
self.timer.Start(200, oneShot=True)
def set_plot_title(self):
if len(self.settings.devicesRtl) > 0:
gain = self.settings.devicesRtl[self.settings.indexRtl].gain
else:
gain = 0
self.plot.set_title("Frequency Spectrogram\n{} - {} MHz,"
" gain = {}dB".format(self.settings.start,
self.settings.stop, gain))
def redraw_plot(self):
if self.spectrum is not None:
self.set_plot(self.spectrum, self.settings.pointsLimit,
self.settings.pointsMax, self.extent,
self.settings.annotate)
def set_grid(self, on):
self.plot.set_grid(on)
def set_selected(self, start, end):
self.selectStart = start
self.selectEnd = end
self.__draw_select()
def hide_toolbar(self, hide):
self.toolbar.Show(not hide)
def hide_measure(self):
if self.plot is not None:
self.plot.hide_measure()
def draw_measure(self):
if self.measure is not None and self.measure.is_valid():
self.plot.draw_measure(self.measure, self.show)
def update_measure(self, measure=None, show=None):
if not measure and not show:
self.measureTable.update_measure()
else:
self.measure = measure
self.show = show
self.__draw_overlay()
def get_figure(self):
return self.figure
def get_axes(self):
return self.plot.get_axes()
def get_canvas(self):
return self.canvas
def get_toolbar(self):
return self.toolbar
def get_mouse_select(self):
return self.mouseSelect
def scale_plot(self, force=False):
self.plot.scale_plot(force)
def clear_plots(self):
self.plot.clear_plots()
self.spectrum = None
self.doDraw = True
def clear_selection(self):
self.measure = None
self.measureTable.clear_measurement()
self.selectStart = None
self.selectEnd = None
self.mouseSelect.clear()
self.__enable_menu(False)
def close(self):
self.plot.close()
close_modeless()
class plotTimeSeries(wx.Panel):
def __init__(self, parent, id, pos, size, style, name):
self._init_ctrls(parent)
def _init_coll_boxSizer1_Items(self, parent):
# generated method, don't edit
parent.AddWindow(self.canvas, 1, wx.LEFT | wx.TOP | wx.GROW)
parent.AddWindow(self.toolbar, 0, wx.EXPAND)
def _init_ctrls(self, parent):
wx.Panel.__init__(self, parent, -1)
self.parent = parent
#init Plot
# matplotlib.figure.Figure
self.figure = plt.figure()
# matplotlib.axes.AxesSubplot
self.timeSeries = host_subplot(111, axes_class=AA.Axes)
self.setTimeSeriesTitle("No Data to Plot")
# matplotlib.backends.backend_wxagg.FigureCanvasWxAgg
self.canvas = FigCanvas(self, -1, self.figure)
self.canvas.SetFont(
wx.Font(20, wx.SWISS, wx.NORMAL, wx.NORMAL, False, u'Tahoma'))
self.isShowLegendEnabled = False
self.canvas.mpl_connect('figure_leave_event', self._onFigureLeave)
Publisher.subscribe(self.updateCursor, "updateCursor")
# Create the navigation toolbar, tied to the canvas
self.toolbar = NavigationToolbar(self.canvas, allowselect=True)
self.toolbar.Realize()
self.seriesPlotInfo = None
#set properties
self.fontP = FontProperties()
self.fontP.set_size('x-small')
self.format = '-o'
self.alpha = 1
self._setColor("WHITE")
left = 0.125 # the left side of the subplots of the figure
#right = 0.9 # the right side of the subplots of the figure
#bottom = 0.51 # the bottom of the subplots of the figure
#top = 1.2 # the top of the subplots of the figure
#wspace = .8 # the amount of width reserved for blank space between subplots
#hspace = .8 # the amount of height reserved for white space between subplots
plt.subplots_adjust(
left=
left #, bottom=bottom, right=right, top=top, wspace=wspace, hspace=hspace
)
plt.tight_layout()
#init hover tooltip
# create a long tooltip with newline to get around wx bug (in v2.6.3.3)
# where newlines aren't recognized on subsequent self.tooltip.SetTip() calls
self.tooltip = wx.ToolTip(
tip='tip with a long %s line and a newline\n')
self.canvas.SetToolTip(self.tooltip)
self.tooltip.Enable(False)
self.tooltip.SetDelay(0)
#init lists
#self.lines = {}
self.lines = []
self.axislist = {}
self.curveindex = -1
self.editseriesID = -1
self.editCurve = None
self.editPoint = None
self.hoverAction = None
self.selplot = None
self.cursors = []
self.canvas.draw()
self._init_sizers()
def _init_sizers(self):
# generated method, don't edit
self.boxSizer1 = wx.BoxSizer(orient=wx.VERTICAL)
self._init_coll_boxSizer1_Items(self.boxSizer1)
self.SetSizer(self.boxSizer1)
'''
def changePlotSelection(self, datetime_list=[]):
cc= ColorConverter()
# k black, # r red
# needs to have graph first
selected = cc.to_rgba('r', 1)
unselected = cc.to_rgba('k', 0.1)
allunselected = cc.to_rgba('k', 1)
if self.editPoint:
colorlist=[allunselected] *len(self.editCurve.dataTable)
if len(datetime_list)>0:
for i in xrange(len(self.editCurve.dataTable)):
if self.editCurve.dataTable[i][1] in datetime_list:
colorlist[i]=selected
else:
colorlist[i]=unselected
self.editPoint.set_color(colorlist)
#self.editPoint.set_color(['k' if x == 0 else 'r' for x in tflist])
self.canvas.draw()
'''
## TODO 10/15/2014 Change function so that it will accept a list of datavalues. This will remove the need to loop through the values currently plotted and we would instead plot the list of datetimes and datavalues together.
def changePlotSelection(self, filtered_datetime):
"""
Selected points have a scatter plot drawn over them to indicated the point being selected
"""
if self.selplot:
self.selplot.remove()
del self.selplot
self.selplot = None
result = None
if isinstance(filtered_datetime, pd.DataFrame):
result = filtered_datetime.sort_index()
if isinstance(filtered_datetime, list):
df = self.editCurve.dataTable
result = df[df['LocalDateTime'].isin(filtered_datetime)].astype(
datetime.datetime)
if isinstance(result, pd.DataFrame):
if result.empty:
self.canvas.draw()
return
else:
if not result:
self.canvas.draw()
return
values = result['DataValue'].values.tolist()
dates = result.index.astype(datetime.datetime)
self.selplot = self.axislist[self.editSeries.axisTitle].scatter(
dates,
values,
s=35,
c='red',
edgecolors='none',
zorder=12,
marker='s',
alpha=1)
self.canvas.draw()
def lassoChangeSelection(self, filtered_datetime):
self.parent.record_service.select_points(dataframe=filtered_datetime)
def onShowLegend(self, isVisible):
if isVisible:
self.isShowLegendEnabled = True
plt.subplots_adjust(bottom=.1 + .1)
leg = self.timeSeries.legend(loc='upper right',
ncol=2,
fancybox=True,
prop=self.fontP)
leg.get_frame().set_alpha(.5)
leg.draggable(state=True)
else:
self.isShowLegendEnabled = False
plt.subplots_adjust(bottom=.1)
self.timeSeries.legend_ = None
plt.gcf().autofmt_xdate()
self.canvas.draw()
def onPlotType(self, ptype):
# self.timeSeries.clear()
if ptype == "line":
ls = '-'
m = 'None'
elif ptype == "point":
ls = 'None'
m = 'o'
else:
ls = '-'
m = 'o'
self.format = ls + m
for k, v in self.axislist.iteritems():
lines = v.get_lines()
for line in lines:
plt.setp(line, linestyle=ls, marker=m)
if self.isShowLegendEnabled:
self.onShowLegend(self.isShowLegendEnabled)
plt.gcf().autofmt_xdate()
self.canvas.draw()
def stopEdit(self):
self.clear()
self.selectedlist = None
self.selplot = None
self.lman = None
#self.canvas.mpl_disconnect(self.hoverAction)
try:
self.canvas.mpl_disconnect(self.pointPick)
self.pointPick = None
except AttributeError as e:
logger.error(e)
self.hoverAction = None
self.xys = None
self.alpha = 1
self.curveindex = -1
self.editCurve = None
# self.RefreshPlot()
if self.seriesPlotInfo and self.seriesPlotInfo.isPlotted(
self.editseriesID):
self.updatePlot()
self.toolbar.stopEdit()
self.editseriesID = -1
def updateValues(self):
# self.addEdit(self.editCursor, self.editSeries, self.editDataFilter)
#clear current edit points and curve
if self.editCurve:
curraxis = self.axislist[self.editCurve.axisTitle]
for l in curraxis.lines:
if l.get_label() == self.editCurve.plotTitle:
curraxis.lines.remove(l)
#redraw editpoints and curve
self.seriesPlotInfo.updateEditSeries()
self.editCurve = self.seriesPlotInfo.getEditSeriesInfo()
self.drawEditPlot(self.editCurve)
self.canvas.draw()
Publisher.sendMessage("refreshTable", e=self.editCurve.dataTable)
# self.parent.parent.dataTable.Refresh()
plt.gcf().autofmt_xdate()
self.canvas.draw()
def drawEditPlot(self, oneSeries):
self.axislist[oneSeries.axisTitle].set_zorder(10)
self.lines[self.curveindex] = self.axislist[oneSeries.axisTitle]
data = oneSeries.dataTable
dates = data.index.astype(datetime.datetime)
curraxis = self.axislist[oneSeries.axisTitle]
curraxis.plot_date(dates,
data['DataValue'],
"-s",
color=oneSeries.color,
xdate=True,
label=oneSeries.plotTitle,
zorder=10,
alpha=1,
picker=5.0,
pickradius=5.0,
markersize=4.5)
curraxis.set_xlabel('Date')
convertedDates = matplotlib.dates.date2num(dates)
self.xys = zip(convertedDates, oneSeries.dataTable['DataValue'])
self.toolbar.editSeries(self.xys, self.editCurve)
self.pointPick = self.canvas.mpl_connect('pick_event', self._onPick)
self.editSeries = oneSeries
def _setColor(self, color):
"""Set figure and canvas colours to be the same.
:rtype : object
"""
plt.gcf().set_facecolor(color)
plt.gcf().set_edgecolor(color)
self.canvas.SetBackgroundColour(color)
def close(self):
#plt.clf()
#plt.close()
pass
def Plot(self, seriesPlotInfo):
self.seriesPlotInfo = seriesPlotInfo
self.updatePlot()
# resets the home view - will remove any previous zooming
self.toolbar.update()
self.toolbar.push_current()
#self._views.home()
#self._positions.home()
#self.set_history_buttons()
#clear plot
def clear(self):
"""
:return:
"""
lines = []
for key, ax in self.axislist.items():
ax.clear()
self.axislist = {}
#self.canvas.draw()
# self.stopEdit()
#print "TimeSeries: ", dir(self.timeSeries), type(self.timeSeries)
#plt.cla()
#plt.clf()
#self.timeSeries.plot([], [], picker=5)
def setUpYAxis(self):
""" Setting up multiple axes
:return:
"""
self.axislist = {}
left = 0
right = 0
adj = .05
editaxis = None
## Identify Axes and save them to axislist
#loop through the list of curves and add an axis for each
for oneSeries in self.seriesPlotInfo.getAllSeries():
#test to see if the axis already exists
if oneSeries.edit:
editaxis = oneSeries.axisTitle
if not oneSeries.axisTitle in self.axislist:
self.axislist[oneSeries.axisTitle] = None
keys = self.axislist.keys()
## Put editing axis at the beginning of the list
if editaxis:
for i in range(len(keys)):
if keys[i] == editaxis:
keys.pop(i)
break
keys.insert(0, editaxis)
leftadjust = -30
for i, axis in zip(range(len(self.axislist)), keys):
if i % 2 == 0:
left = left + 1
#add to the left(yaxis)
if i == 0:
#if first plot use the orig axis
newAxis = self.timeSeries
else:
newAxis = self.timeSeries.twinx()
'''
Spines idea
#newAxis.spines["left"].set_position(("axes", leftadjust * left))
newAxis.spines["left"].set_position(("axes", -.1))
newAxis.spines["left"].set_visible(True)
newAxis.yaxis.set_label_position("left")
newAxis.yaxis.set_ticks_position("left")
'''
new_fixed_axis = newAxis.get_grid_helper().new_fixed_axis
newAxis.axis['left'] = new_fixed_axis(loc='left',
axes=newAxis,
offset=(leftadjust *
left, 0))
newAxis.axis["left"].toggle(all=True)
newAxis.axis["right"].toggle(all=False)
leftadjust -= 15
else:
right = right + 1
#add to the right(y2axis)
newAxis = self.timeSeries.twinx()
'''
Spines idea
#newAxis.spines["right"].set_position(("axes", -1*60*(right - 1)))
newAxis.spines["right"].set_position(("axes", 1.0))
newAxis.spines["right"].set_visible(True)
newAxis.yaxis.set_label_position("right")
newAxis.yaxis.set_ticks_position("right")
'''
new_fixed_axis = newAxis.get_grid_helper().new_fixed_axis
newAxis.axis['right'] = new_fixed_axis(loc='right',
axes=newAxis,
offset=(60 *
(right - 1), 0))
newAxis.axis['right'].toggle(all=True)
a = newAxis.set_ylabel(axis, picker=True)
a.set_picker(True)
#logger.debug("axis label: %s" % (axis))
self.axislist[axis] = newAxis
plt.tight_layout()
self.canvas.draw()
def updatePlot(self):
self.clear()
count = self.seriesPlotInfo.count()
self.setUpYAxis()
self.lines = []
## Spine initialization ##
for oneSeries in self.seriesPlotInfo.getAllSeries():
if oneSeries.seriesID == self.seriesPlotInfo.getEditSeriesID():
"""
Edited Series
"""
self.curveindex = len(self.lines)
self.lines.append("")
self.editCurve = oneSeries
self.drawEditPlot(oneSeries)
else:
"""
Plotted Series
"""
curraxis = self.axislist[oneSeries.axisTitle]
curraxis.set_zorder(1)
data = oneSeries.dataTable
dates = data.index.astype(datetime.datetime)
#data.plot(ax=curraxis)
curraxis.plot_date(dates,
data['DataValue'],
color=oneSeries.color,
fmt=self.format,
xdate=True,
tz=None,
antialiased=True,
label=oneSeries.plotTitle,
alpha=self.alpha,
picker=5.0,
pickradius=5.0,
markersize=4)
curraxis.set_xlabel('Date')
'''
data = oneSeries.dataTable
#dates = data['LocalDateTime'].astype(datetime.datetime)
data['LocalDateTime'] = pd.to_datetime(data['LocalDateTime'])
data['LocalDateTime'].astype(datetime.datetime)
data.plot(ax=curraxis)
oneSeries.dataTable.plot(ax=curraxis)
curraxis.set_xlabel('Date')
'''
if count > 1:
self.setTimeSeriesTitle("")
plt.subplots_adjust(bottom=.1 + .1)
# self.timeSeries.legend(loc='upper center', bbox_to_anchor=(0.5, -0.05),
# ncol=2, prop = self.fontP)
self.timeSeries.legend(loc='upper center',
bbox_to_anchor=(0.5, -1.75),
ncol=2,
prop=self.fontP)
elif count == 0:
self.setTimeSeriesTitle("")
self.timeSeries.legend_ = None
else:
self.setTimeSeriesTitle(oneSeries.siteName)
plt.subplots_adjust(bottom=.1)
self.timeSeries.legend_ = None
self.timeSeries.set_xlabel("Date", picker=True)
#self.timeSeries.set_xlim(matplotlib.dates.date2num([self.seriesPlotInfo.currentStart, self.seriesPlotInfo.currentEnd]))
#self.timeSeries.axis[:].set_major_formatter(FormatStrFormatter('%.2f'))
self.timeSeries.axis[:].major_ticks.set_tick_out(True)
self.timeSeries.axis["bottom"].label.set_pad(20)
self.timeSeries.axis["bottom"].major_ticklabels.set_pad(15)
self.timeSeries.axis["bottom"].major_ticklabels.set_rotation(15)
self.timeSeries.axis[:].major_ticklabels.set_picker(True)
plt.gcf().autofmt_xdate()
#self.figure.tight_layout()
if not self.toolbar._views.empty():
for v in self.toolbar._views:
del (v)
self.toolbar.push_current()
self.canvas.draw()
def updateCursor(self, selectedObject=None, deselectedObject=None):
"""
:param selectedObject:
"""
try:
if selectedObject:
"""
Activate Cursor. Happens when a plot is selected
"""
if self.seriesPlotInfo:
seriesInfo = self.seriesPlotInfo.getSeries(
selectedObject.id)
if seriesInfo:
currentAxis = None
# If there a key with the axisTitle we are interested in, set currentaxis to that.
if seriesInfo.axisTitle in self.axislist.keys():
currentAxis = self.axislist[seriesInfo.axisTitle]
# If nothing is in the axislist, we don't care about it
elif len(self.axislist) < 1:
currentAxis = None
self.configureCursor(currentAxis=currentAxis)
elif deselectedObject:
"""
Deactivate Cursor. This happens when the plot is deselected
"""
self.deactivateCursor(deselectedObject)
except AttributeError as e:
print "Ignoring Attribute Error", e
def deactivateCursor(self, deselectedObject=None):
# Remove an object if supplied
if deselectedObject:
for i in self.cursors:
if i.selected == deselectedObject:
i.disable()
break
# Disable existing Cursors
elif self.cursors:
for i in self.cursors:
i.disable()
def configureCursor(self, currentAxis=None):
"""Creates the cursors for each axes in order to provide data hovering"""
self.deactivateCursor()
self.cursors = []
# initialize cursors for axes from currently selected axes
for k, v in self.axislist.iteritems():
i = Cursor(self.canvas, self.toolbar, v, k)
## If I have selected an axis that is in the axislist
if v == currentAxis:
i.enable()
i.setSelected(currentAxis)
# If there is only one axis in the axislist, default to the first axis
elif len(self.axislist) == 1:
i.enable()
i.setSelected(self.axislist.values()[0])
# Else I disable the other axes that I don't care about
else:
i.setSelected(None)
i.disable()
self.cursors.append(i)
def setTimeSeriesTitle(self, title=""):
"""Set the title of the TimeSeries plot"""
self.timeSeries.set_title(title, picker=True)
def setEdit(self, id):
self.editseriesID = id
self.alpha = .5
if self.seriesPlotInfo and self.seriesPlotInfo.isPlotted(
self.editseriesID):
self.editCurve = self.seriesPlotInfo.getSeries(self.editseriesID)
## TODO Duplicate UpdatePlot?
logger.debug("Called duplicate updateplot")
self.updatePlot()
def make_patch_spines_invisible(self, ax):
ax.set_frame_on(True)
ax.patch.set_visible(False)
for sp in ax.spines.itervalues():
sp.set_visible(False)
def _onMotion(self, event):
"""
:type event: matplotlib.backend_bases.MouseEvent
:return:
"""
try:
if event.xdata and event.ydata:
xValue = matplotlib.dates.num2date(
event.xdata).replace(tzinfo=None)
#self.toolbar.msg.SetLabelText("X= %s, Y= %.2f" % (xValue.strftime("%Y-%m-%d %H:%M:%S"), event.ydata))
#self.toolbar.msg.SetLabelText("X= %s, Y= %.2f" % (xValue.strftime("%b %d, %Y %H:%M:%S"), event.ydata))
self.toolbar.msg.SetLabelText(
"X= %s, Y= %.2f" %
(xValue.strftime("%b %d, %Y %H:%M"), event.ydata))
self.toolbar.msg.SetForegroundColour((66, 66, 66))
else:
self.toolbar.msg.SetLabelText("")
except ValueError:
pass
def _onPick(self, event):
"""
:param event:
:return:
"""
if isinstance(event.artist, Line2D):
thisline = event.artist
xdata = thisline.get_xdata()
ydata = thisline.get_ydata()
ind = event.ind
xValue = xdata[ind][0]
yValue = ydata[ind][0]
#tip = '(%s, %s)' % (xValue.strftime("%Y-%m-%d %H:%M:%S"), yValue)
#tip = '(%s, %s)' % (xValue.strftime("%b %d, %Y %H:%M:%S"), yValue)
tip = '(%s, %s)' % (xValue.strftime("%b %d, %Y %H:%M"), yValue)
self.tooltip.SetTip(tip)
self.tooltip.Enable(True)
self.tooltip.SetAutoPop(10000)
elif isinstance(event.artist, Text):
text = event.artist
#print "Picking Label: ", text.get_text()
def _onFigureLeave(self, event):
"""Catches mouse leaving the figure
:param event:
:return:
"""
if self.tooltip.Window.Enabled:
self.tooltip.SetTip("")
