def ant_ant_stat_frame(title_text, full_pol_array, station_names, output_name=None, dpi=50, **kwargs): if output_name is None: fig = figure(figsize=(32,30), dpi=dpi) else: fig=Figure(figsize=(32,30), dpi=dpi) if output_name is None: fig.suptitle(title_text, fontsize=30) else: fig.suptitle(title_text+' '+output_name, fontsize=30) ax1=fig.add_subplot(2,2,1) ant_ant_stat_plot(fig, ax1, title_text+' XX', full_pol_array[:,:,0], station_names, **kwargs) ax2=fig.add_subplot(2,2,2) ant_ant_stat_plot(fig, ax2, title_text+' XY', full_pol_array[:,:,1], station_names, **kwargs) ax3=fig.add_subplot(2,2,3) ant_ant_stat_plot(fig, ax3, title_text+' YX', full_pol_array[:,:,2], station_names, **kwargs) ax4=fig.add_subplot(2,2,4) ant_ant_stat_plot(fig, ax4, title_text+' YY', full_pol_array[:,:,3], station_names, **kwargs) if output_name is not None: canvas = FigureCanvasAgg(fig) if output_name[-4:] in ['.jpg', '.JPG']: canvas.print_jpg(output_name, dpi=dpi, quality=55) else: canvas.print_figure(output_name, dpi=dpi) pass pass
class mpl(FigureCanvasQTAgg): def __init__(self, parent=None, width=15, height=5, dpi=100): self.fig = Figure(figsize=(width, height), dpi=dpi) FigureCanvasQTAgg.__init__(self, self.fig) self.setParent(parent) self.ax = self.fig.add_subplot(111) self.setSizePolicy(QtWidgets.QSizePolicy.Expanding, QtWidgets.QSizePolicy.Expanding) self.updateGeometry() def plot(self, *args, **kwargs): self.ax.plot(*args, **kwargs) def data(self, *args, **kwargs): self.ax.plot(*args, **kwargs) self.draw() def savePNG(self): """Save chart image to png file""" fmt = "Portable Network Graphics (*.png)" fname, ext = QtWidgets.QFileDialog.getSaveFileName( self, QtWidgets.QApplication.translate("pychemqt", "Save chart to file"), "./", fmt) if fname and ext == fmt: if fname.split(".")[-1] != "png": fname += ".png" self.fig.savefig(fname, facecolor='#fafafa')
def __init__(self, parent=None, width=5, height=4, dpi=100): print(width, height) self.fig = Figure(figsize=(width, height), dpi=dpi) self.parent = parent self.axes = self.fig.add_subplot(111) FigureCanvas.__init__(self, self.fig) self.setParent(parent)
def __init__(self, parent=None, width=15, height=5, dpi=100): self.fig = Figure(figsize=(width, height), dpi=dpi) FigureCanvasQTAgg.__init__(self, self.fig) self.setParent(parent) self.ax = self.fig.add_subplot(111) # self.ax.figure.subplots_adjust(left=0.08, right=0.92, bottom=0.1, top=0.95) FigureCanvasQTAgg.setSizePolicy(self, QtWidgets.QSizePolicy.Expanding, QtWidgets.QSizePolicy.Expanding) FigureCanvasQTAgg.updateGeometry(self)
def __init__(self, parent=None, width=15, height=5, dpi=100): self.fig = Figure(figsize=(width, height), dpi=dpi) FigureCanvasQTAgg.__init__(self, self.fig) self.setParent(parent) self.axes2D = self.fig.add_subplot(111) FigureCanvasQTAgg.setSizePolicy(self, QtGui.QSizePolicy.Expanding, QtGui.QSizePolicy.Expanding) FigureCanvasQTAgg.updateGeometry(self)
def __init__(self, parent=None, width=15, height=5, dpi=100): self.fig = Figure(figsize=(width, height), dpi=dpi) FigureCanvasQTAgg.__init__(self, self.fig) self.setParent(parent) self.axes2D = self.fig.add_subplot(111) FigureCanvasQTAgg.updateGeometry(self) self.axes2D.figure.subplots_adjust(left=0.01, right=0.92, bottom=0.05, top=0.98) self.notes = []
def _math_tex_to_qpixmap(math_tex: str, fs: int): # set up a mpl figure instance fig = Figure() fig.patch.set_facecolor('none') fig.set_canvas(FigureCanvasAgg(fig)) renderer = fig.canvas.get_renderer() # plot the math_tex expression ax = fig.add_axes([0, 0, 1, 1]) ax.axis('off') ax.patch.set_facecolor('none') t = ax.text(0, 0, math_tex, ha='left', va='bottom', fontsize=fs) # fit figure size to text artist f_width, f_height = fig.get_size_inches() fig_bbox = fig.get_window_extent(renderer) text_bbox = t.get_window_extent(renderer) tight_fwidth = text_bbox.width * f_width / fig_bbox.width tight_fheight = text_bbox.height * f_height / fig_bbox.height fig.set_size_inches(tight_fwidth, tight_fheight) # convert mpl figure to QPixmap buf, size = fig.canvas.print_to_buffer() return QPixmap(QImage.rgbSwapped(QImage(buf, size[0], size[1], QImage.Format_ARGB32)))
class mpl(FigureCanvasQTAgg): def __init__(self, parent=None, width=15, height=5, dpi=100): self.fig = Figure(figsize=(width, height), dpi=dpi) FigureCanvasQTAgg.__init__(self, self.fig) self.setParent(parent) self.ax = self.fig.add_subplot(111) # self.ax.figure.subplots_adjust(left=0.08, right=0.92, bottom=0.1, top=0.95) FigureCanvasQTAgg.setSizePolicy(self, QtWidgets.QSizePolicy.Expanding, QtWidgets.QSizePolicy.Expanding) FigureCanvasQTAgg.updateGeometry(self) def config(self, xmin=None, xmax=None, ymin=None, ymax=None, scalex="linear", scaley="linear"): self.ax.clear() self.ax.set_autoscale_on(False) self.ax.set_xlabel("Pr", horizontalalignment='right', size='12') self.ax.set_ylabel("Z", size='14') self.ax.grid(True) if xmin != None and xmax != None: self.ax.set_xlim(xmin, xmax) else: self.ax.set_autoscalex_on(True) if ymin != None and ymax != None: self.ax.set_ylim(ymin, ymax) else: self.ax.set_autoscaley_on(True) self.ax.set_xscale(scalex) self.ax.set_yscale(scaley) def plot(self, *args, **kwargs): self.ax.plot(*args, **kwargs) def data(self, *args, **kwargs): self.ax.plot(*args, **kwargs) self.draw() def savePNG(self): """Save chart image to png file""" fmt = "Portable Network Graphics (*.png)" fname, ext = QtWidgets.QFileDialog.getSaveFileName( self, QtWidgets.QApplication.translate("pychemqt", "Save chart to file"), "./", fmt) if fname and ext == fmt: if fname.split(".")[-1] != "png": fname += ".png" self.fig.savefig(fname, facecolor='#eeeeee')
def SavePlot(y, filename, xtitle='', ytitle='', title=''): plot = Figure(figsize=(12, 3)) ax = plot.add_subplot(111) # plot.grid(True) ax.set_title(title) ax.set_xlabel(xtitle) ax.set_ylabel(ytitle) # ax.axis(ymax=1, ymin =-3) plot.subplots_adjust(left=0.1, bottom=0.2) x = range(len(y)) # ax.plot(x, nu.log2(Y)) ax.plot(x, y) FigureCanvasAgg(ax.get_figure()).print_figure(filename, dpi=120) return
class matplotlib(FigureCanvasQTAgg): """Ultimately, this is a QWidget (as well as a FigureCanvasAgg, etc.).""" def __init__(self, dim=2, parent=None): self.fig = Figure(figsize=(10, 10), dpi=100) self.dim = dim FigureCanvasQTAgg.__init__(self, self.fig) self.setParent(parent) FigureCanvasQTAgg.setSizePolicy(self, QtWidgets.QSizePolicy.Expanding, QtWidgets.QSizePolicy.Expanding) FigureCanvasQTAgg.updateGeometry(self) if dim==2: self.ax = self.fig.add_subplot(111) self.ax.figure.subplots_adjust(left=0.08, right=0.98, bottom=0.08, top=0.92) else: self.ax = Axes3D(self.fig) self.ax.mouse_init(rotate_btn=1, zoom_btn=2) FigureCanvasQTAgg.setSizePolicy(self, QtWidgets.QSizePolicy.Expanding, QtWidgets.QSizePolicy.Expanding) FigureCanvasQTAgg.updateGeometry(self) def plot_3D(self, labels, xdata, ydata, zdata, config=None): """Método que dibuja la matriz de datos""" self.ax.clear() self.data={"x": xdata[0], "y": ydata[:,0], "z": zdata} if config and config.getboolean("MEOS", "surface"): self.ax.plot_surface(xdata, ydata, zdata, rstride=1, cstride=1) else: self.ax.plot_wireframe(xdata, ydata, zdata, rstride=1, cstride=1) self.ax.set_xlabel(labels[0]) self.ax.set_ylabel(labels[1]) self.ax.set_zlabel(labels[2]) self.ax.mouse_init(rotate_btn=1, zoom_btn=2)
class mpl(FigureCanvasQTAgg): def __init__(self, parent=None, width=15, height=5, dpi=100): self.fig = Figure(figsize=(width, height), dpi=dpi) FigureCanvasQTAgg.__init__(self, self.fig) self.setParent(parent) self.axes2D = self.fig.add_subplot(111) FigureCanvasQTAgg.setSizePolicy(self, QtGui.QSizePolicy.Expanding, QtGui.QSizePolicy.Expanding) FigureCanvasQTAgg.updateGeometry(self) def config(self, xmin=None, xmax=None, ymin=None, ymax=None, scalex="linear", scaley="linear"): self.axes2D.clear() self.axes2D.set_autoscale_on(False) self.axes2D.set_xlabel("Pr", horizontalalignment='right', size='12') self.axes2D.set_ylabel("Z", size='14') self.axes2D.grid(True) if xmin!=None and xmax!=None: self.axes2D.set_xlim(xmin, xmax) else: self.axes2D.set_autoscalex_on(True) if ymin!=None and ymax!=None: self.axes2D.set_ylim(ymin, ymax) else: self.axes2D.set_autoscaley_on(True) self.axes2D.set_xscale(scalex) self.axes2D.set_yscale(scaley) def plot(self, *args, **kwargs): self.axes2D.plot(*args, **kwargs) def data(self, *args, **kwargs): self.axes2D.plot(*args, **kwargs) self.draw()
def __init__(self, parent=None, width=5, height=5, dpi=100): self.fig = Figure(figsize=(width, height), dpi=dpi) FigureCanvasQTAgg.__init__(self, self.fig) self.setParent(parent) FigureCanvasQTAgg.setSizePolicy(self, QtWidgets.QSizePolicy.Expanding, QtWidgets.QSizePolicy.Expanding) FigureCanvasQTAgg.updateGeometry(self)
class mpl(FigureCanvasQTAgg): def __init__(self, parent=None, width=15, height=5, dpi=100): self.fig = Figure(figsize=(width, height), dpi=dpi) FigureCanvasQTAgg.__init__(self, self.fig) self.setParent(parent) self.ax = self.fig.add_subplot(111) # self.ax.figure.subplots_adjust(left=0.08, right=0.92, bottom=0.1, top=0.95) FigureCanvasQTAgg.setSizePolicy(self, QtWidgets.QSizePolicy.Expanding, QtWidgets.QSizePolicy.Expanding) FigureCanvasQTAgg.updateGeometry(self) def config(self, xmin=None, xmax=None, ymin=None, ymax=None, scalex="linear", scaley="linear"): self.ax.clear() self.ax.set_autoscale_on(False) self.ax.set_xlabel("Pr", horizontalalignment='right', size='12') self.ax.set_ylabel("Z", size='14') self.ax.grid(True) if xmin!=None and xmax!=None: self.ax.set_xlim(xmin, xmax) else: self.ax.set_autoscalex_on(True) if ymin!=None and ymax!=None: self.ax.set_ylim(ymin, ymax) else: self.ax.set_autoscaley_on(True) self.ax.set_xscale(scalex) self.ax.set_yscale(scaley) def plot(self, *args, **kwargs): self.ax.plot(*args, **kwargs) def data(self, *args, **kwargs): self.ax.plot(*args, **kwargs) self.draw() def savePNG(self): """Save chart image to png file""" fmt = "Portable Network Graphics (*.png)" fname, ext = QtWidgets.QFileDialog.getSaveFileName( self, QtWidgets.QApplication.translate("pychemqt", "Save chart to file"), "./", fmt) if fname and ext == fmt: if fname.split(".")[-1] != "png": fname += ".png" self.fig.savefig(fname, facecolor='#eeeeee')
def __init__(self, dim=2, parent=None): self.fig = Figure(figsize=(10, 10), dpi=100) self.dim = dim FigureCanvasQTAgg.__init__(self, self.fig) self.setParent(parent) FigureCanvasQTAgg.setSizePolicy(self, QtWidgets.QSizePolicy.Expanding, QtWidgets.QSizePolicy.Expanding) FigureCanvasQTAgg.updateGeometry(self) if dim==2: self.ax = self.fig.add_subplot(111) self.ax.figure.subplots_adjust(left=0.08, right=0.98, bottom=0.08, top=0.92) else: self.ax = Axes3D(self.fig) self.ax.mouse_init(rotate_btn=1, zoom_btn=2) FigureCanvasQTAgg.setSizePolicy(self, QtWidgets.QSizePolicy.Expanding, QtWidgets.QSizePolicy.Expanding) FigureCanvasQTAgg.updateGeometry(self)
class PsychroPlot(FigureCanvasQTAgg): """ Plot widget for psychrometric chart Add custom margins Define a pointer to text state properties, to remove and redraw """ def __init__(self, parent=None, width=15, height=5, dpi=100): self.fig = Figure(figsize=(width, height), dpi=dpi) FigureCanvasQTAgg.__init__(self, self.fig) self.setParent(parent) self.axes2D = self.fig.add_subplot(111) FigureCanvasQTAgg.updateGeometry(self) self.axes2D.figure.subplots_adjust(left=0.01, right=0.92, bottom=0.05, top=0.98) self.notes = [] def plot(self, *args, **kwargs): self.axes2D.plot(*args, **kwargs) def config(self): self.axes2D.set_autoscale_on(False) self.axes2D.set_xlabel(u"Tdb, ºC") self.axes2D.set_ylabel("Absolute humidity, kg/kg") self.axes2D.yaxis.set_ticks_position("right") self.axes2D.yaxis.set_label_position("right") tmin = Preferences.getfloat("Psychr", "isotdbStart") - 273.15 tmax = Preferences.getfloat("Psychr", "isotdbEnd") - 273.15 self.axes2D.set_xlim(tmin, tmax) self.axes2D.set_ylim(0, 0.04) def showPointData(self, state): self.clearPointData() yi = 0.99 keys = "tdb", "tdp", "twb", "HR", "w", "h", "v", "rho" units = u"ºC", u"ºC", u"ºC", "%", "kgw/kgda", "kJ/kg", u"m³/kg", u"kg/m³" for key, txt in zip(keys, units): self.notes.append( self.axes2D.annotate( "%s: %0.4f %s" % (key, state.__getattribute__(key), txt), (0.01, yi), xycoords="axes fraction", size="small", va="center", ) ) yi -= 0.025 self.draw() def clearPointData(self): while self.notes: anotation = self.notes.pop() anotation.remove() self.draw()
class PsychroPlot(FigureCanvasQTAgg): """ Plot widget for psychrometric chart Add custom margins Define a pointer to text state properties, to remove and redraw """ def __init__(self, parent=None, width=15, height=5, dpi=100): self.fig = Figure(figsize=(width, height), dpi=dpi) FigureCanvasQTAgg.__init__(self, self.fig) self.setParent(parent) self.axes2D = self.fig.add_subplot(111) FigureCanvasQTAgg.updateGeometry(self) self.axes2D.figure.subplots_adjust(left=0.01, right=0.92, bottom=0.05, top=0.98) self.notes = [] def plot(self, *args, **kwargs): self.axes2D.plot(*args, **kwargs) def config(self): self.axes2D.set_autoscale_on(False) self.axes2D.set_xlabel(u"Tdb, ºC") self.axes2D.set_ylabel("Absolute humidity, kg/kg") self.axes2D.yaxis.set_ticks_position("right") self.axes2D.yaxis.set_label_position("right") tmin = Preferences.getfloat("Psychr", "isotdbStart") - 273.15 tmax = Preferences.getfloat("Psychr", "isotdbEnd") - 273.15 self.axes2D.set_xlim(tmin, tmax) self.axes2D.set_ylim(0, 0.04) def showPointData(self, state): self.clearPointData() yi = 0.99 keys = "tdb", "tdp", "twb", "HR", "w", "h", "v", "rho" units = u"ºC", u"ºC", u"ºC", "%", "kgw/kgda", "kJ/kg", u"m³/kg", u"kg/m³" for key, txt in zip(keys, units): self.notes.append( self.axes2D.annotate("%s: %0.4f %s" % (key, state.__getattribute__(key), txt), (0.01, yi), xycoords='axes fraction', size="small", va="center")) yi -= 0.025 self.draw() def clearPointData(self): while self.notes: anotation = self.notes.pop() anotation.remove() self.draw()
class PlotCanvas(FigureCanvas): def __init__(self, parent=None, width=5, height=4, dpi=100): print(width, height) self.fig = Figure(figsize=(width, height), dpi=dpi) self.parent = parent self.axes = self.fig.add_subplot(111) FigureCanvas.__init__(self, self.fig) self.setParent(parent) def func(self, pct, allvals): absolute = float(pct / 100. * np.sum(allvals)) return "{:.1f}%\n{:.2f} ".format(pct, absolute) def update_figure(self, labels, fracs, title, text): self.axes.clear() self.axes.set_title(title) self.axes.pie(x=fracs, labels=labels, autopct=lambda pct: self.func(pct, fracs), textprops=dict(color="#000000"), startangle=90) #print(self.sizeHint().h) self.axes.text(-(self.fig.get_size_inches()[0] / 3), (self.fig.get_size_inches()[1]) / 5, text, horizontalalignment='left', color='green', fontsize=12) self.draw() def updateLine(self, scale, dataList): self.axes.clear() for line in dataList: self.axes.plot(scale, line[1], label=line[0], marker='.') self.axes.set(xlabel='Data', ylabel='Value', title='最近30日') self.axes.grid(linestyle='--', linewidth=1) self.axes.legend() self.draw()
class mpl(FigureCanvasQTAgg): def __init__(self, parent=None, width=15, height=5, dpi=100): self.fig = Figure(figsize=(width, height), dpi=dpi) FigureCanvasQTAgg.__init__(self, self.fig) self.setParent(parent) self.axes2D = self.fig.add_subplot(111) FigureCanvasQTAgg.setSizePolicy(self, QtGui.QSizePolicy.Expanding, QtGui.QSizePolicy.Expanding) FigureCanvasQTAgg.updateGeometry(self) def config(self, xmin=None, xmax=None, ymin=None, ymax=None, scalex="linear", scaley="linear"): self.axes2D.clear() self.axes2D.set_autoscale_on(False) self.axes2D.set_xlabel("Pr", horizontalalignment='right', size='12') self.axes2D.set_ylabel("Z", size='14') self.axes2D.grid(True) if xmin != None and xmax != None: self.axes2D.set_xlim(xmin, xmax) else: self.axes2D.set_autoscalex_on(True) if ymin != None and ymax != None: self.axes2D.set_ylim(ymin, ymax) else: self.axes2D.set_autoscaley_on(True) self.axes2D.set_xscale(scalex) self.axes2D.set_yscale(scaley) def plot(self, *args, **kwargs): self.axes2D.plot(*args, **kwargs) def data(self, *args, **kwargs): self.axes2D.plot(*args, **kwargs) self.draw()
def timeseries_station_page(ms, station_name, time_slots, data, fn=abs, output_name=None): dpi=50 if output_name is None: fig = figure(figsize=(32,24), dpi=dpi) else: fig = Figure(figsize=(32,24), dpi=dpi) station_name_list = list(ms.tables['antennae']['NAME']) station_id = station_name_list.index(station_name) num_ant = len(ms.tables['antennae']) tsn = time_slots-time_slots[0] pol_names = corr_type(ms.tables['polarization']['CORR_TYPE'][0]) ref_freq_mhz = ms.tables['spectral_windows'][0]['REF_FREQUENCY']/1.e6 fig.suptitle(ms.msname+': '+fn.__name__+'(vis) with '+station_name+' at %3.2f MHz' % (ref_freq_mhz,), fontsize='large') median_amp = ma.median(ma.mean(ma.median(fn(data[station_id,:,0::3,:]), axis=-1), axis=-1), axis=-1) for id2,name in enumerate(station_name_list): ax = fig.add_subplot(ceil(num_ant/4.0),4, id2+1) ax.plot(tsn, fn(data[station_id,id2,0,:]), c='blue' , label=pol_names[0]) ax.plot(tsn, fn(data[station_id,id2,1,:]), c='green' , label=pol_names[1]) ax.plot(tsn, fn(data[station_id,id2,2,:]), c='purple', label=pol_names[2]) ax.plot(tsn, fn(data[station_id,id2,3,:]), c='red' , label=pol_names[3]) ax.grid() ax.set_ylabel(station_name_list[id2], rotation='horizontal') ax.set_ylim(0.0, 3*median_amp) ax.set_yticklabels([]) if id2 < len(station_name_list)-4: ax.set_xticklabels([]) else: ax.set_xlabel('Time [s]') pass fig.subplots_adjust(hspace=0.0, top=0.95, bottom=0.04) if output_name is not None: canvas = FigureCanvasAgg(fig) if output_name[-4:] in ['.jpg', '.JPG']: canvas.print_jpg(output_name, dpi=dpi, quality=55) else: canvas.print_figure(output_name, dpi=dpi) pass pass
# HeNe emission lineshape function A = np.sqrt(np.pi / hene_width) F = A * np.exp(-(w / hene_width * 2) ** 2) # Fabry-Perot cavity modes T = np.sqrt(1.0 - R ** 2) D = T ** 4 + 4 * R ** 2 * np.sin(2 * np.pi * (w + w_hene) / c * L) ** 2 I = T ** 4 / D # Saturation radiation density Ws = hbar * (w_hene) ** 3 / np.pi ** 2 / c ** 2 # Create the figure instance if use_mpl: fig = Figure() else: fig = pl.figure(prog_title) # Create the axes for the main plot and plot the initial data axes = fig.add_subplot(111) fig.subplots_adjust(bottom=0.25) plt, = axes.plot(c / (w + w_hene) * 1e9, F * I * 1e6, "r") # Declare the areas dedicated for the slider controls axes_length = fig.add_axes([0.17, 0.12, 0.73, 0.03]) axes_reflect = fig.add_axes([0.17, 0.06, 0.73, 0.03]) # If using matplotlib, we must create the canvas area of the Window before # creating the actual Sliders. if use_mpl:
class InterpretationEditorFrame(wx.Frame): #########################Init Funcions############################# def __init__(self,parent): """Constructor""" #set parent and resolution self.parent = parent self.GUI_RESOLUTION=self.parent.GUI_RESOLUTION #call init of super class wx.Frame.__init__(self, self.parent, title="Interpretation Editor",size=(675*self.GUI_RESOLUTION,425*self.GUI_RESOLUTION)) self.Bind(wx.EVT_CLOSE, self.on_close_edit_window) #make the Panel self.panel = wx.Panel(self,-1,size=(700*self.GUI_RESOLUTION,450*self.GUI_RESOLUTION)) #set icon icon = wx.EmptyIcon() icon_path = os.path.join(IMG_DIRECTORY, 'PmagPy.ico') if os.path.exists(icon_path): icon.CopyFromBitmap(wx.Bitmap(icon_path), wx.BITMAP_TYPE_ANY) self.SetIcon(icon) self.specimens_list=self.parent.specimens self.current_fit_index = None self.search_query = "" self.font_type = self.parent.font_type #build UI self.init_UI() #update with stuff self.on_select_level_name(None) def init_UI(self): """ Builds User Interface for the interpretation Editor """ #set fonts FONT_WEIGHT=1 if sys.platform.startswith('win'): FONT_WEIGHT=-1 font1 = wx.Font(9+FONT_WEIGHT, wx.SWISS, wx.NORMAL, wx.NORMAL, False, self.font_type) font2 = wx.Font(12+FONT_WEIGHT, wx.SWISS, wx.NORMAL, wx.NORMAL, False, self.font_type) #if you're on mac do some funny stuff to make it look okay is_mac = False if sys.platform.startswith("darwin"): is_mac = True self.search_bar = wx.SearchCtrl(self.panel, size=(350*self.GUI_RESOLUTION,25) ,style=wx.TE_PROCESS_ENTER | wx.TE_PROCESS_TAB | wx.TE_NOHIDESEL) self.Bind(wx.EVT_TEXT_ENTER, self.on_enter_search_bar,self.search_bar) self.Bind(wx.EVT_SEARCHCTRL_SEARCH_BTN, self.on_enter_search_bar,self.search_bar) # self.Bind(wx.EVT_TEXT, self.on_complete_search_bar,self.search_bar) #build logger self.logger = wx.ListCtrl(self.panel, -1, size=(350*self.GUI_RESOLUTION,475*self.GUI_RESOLUTION),style=wx.LC_REPORT) self.logger.SetFont(font1) self.logger.InsertColumn(0, 'specimen',width=55*self.GUI_RESOLUTION) self.logger.InsertColumn(1, 'fit name',width=45*self.GUI_RESOLUTION) self.logger.InsertColumn(2, 'max',width=35*self.GUI_RESOLUTION) self.logger.InsertColumn(3, 'min',width=35*self.GUI_RESOLUTION) self.logger.InsertColumn(4, 'n',width=25*self.GUI_RESOLUTION) self.logger.InsertColumn(5, 'fit type',width=60*self.GUI_RESOLUTION) self.logger.InsertColumn(6, 'dec',width=35*self.GUI_RESOLUTION) self.logger.InsertColumn(7, 'inc',width=35*self.GUI_RESOLUTION) self.logger.InsertColumn(8, 'mad',width=35*self.GUI_RESOLUTION) self.Bind(wx.EVT_LIST_ITEM_ACTIVATED, self.OnClick_listctrl, self.logger) self.Bind(wx.EVT_LIST_ITEM_RIGHT_CLICK,self.OnRightClickListctrl,self.logger) #set fit attributes box self.display_sizer = wx.StaticBoxSizer(wx.StaticBox(self.panel, wx.ID_ANY, "display options"), wx.HORIZONTAL) self.name_sizer = wx.StaticBoxSizer(wx.StaticBox(self.panel, wx.ID_ANY, "fit name/color"), wx.VERTICAL) self.bounds_sizer = wx.StaticBoxSizer(wx.StaticBox(self.panel, wx.ID_ANY, "fit bounds"), wx.VERTICAL) self.buttons_sizer = wx.StaticBoxSizer(wx.StaticBox(self.panel, wx.ID_ANY), wx.VERTICAL) #logger display selection box UPPER_LEVEL = self.parent.level_box.GetValue() if UPPER_LEVEL=='sample': name_choices = self.parent.samples if UPPER_LEVEL=='site': name_choices = self.parent.sites if UPPER_LEVEL=='location': name_choices = self.parent.locations if UPPER_LEVEL=='study': name_choices = ['this study'] self.level_box = wx.ComboBox(self.panel, -1, size=(100*self.GUI_RESOLUTION, 25), value=UPPER_LEVEL, choices=['sample','site','location','study'], style=wx.CB_DROPDOWN) self.Bind(wx.EVT_COMBOBOX, self.on_select_higher_level,self.level_box) self.level_names = wx.ComboBox(self.panel, -1, size=(100*self.GUI_RESOLUTION, 25), value=self.parent.level_names.GetValue(), choices=name_choices, style=wx.CB_DROPDOWN) self.Bind(wx.EVT_COMBOBOX, self.on_select_level_name,self.level_names) #mean type and plot display boxes self.mean_type_box = wx.ComboBox(self.panel, -1, size=(100*self.GUI_RESOLUTION, 25), value=self.parent.mean_type_box.GetValue(), choices=['Fisher','Fisher by polarity','None'], style=wx.CB_DROPDOWN,name="high_type") self.Bind(wx.EVT_COMBOBOX, self.on_select_mean_type_box,self.mean_type_box) self.mean_fit_box = wx.ComboBox(self.panel, -1, size=(100*self.GUI_RESOLUTION, 25), value=self.parent.mean_fit, choices=(['None','All'] + self.parent.fit_list), style=wx.CB_DROPDOWN,name="high_type") self.Bind(wx.EVT_COMBOBOX, self.on_select_mean_fit_box,self.mean_fit_box) #show box if UPPER_LEVEL == "study" or UPPER_LEVEL == "location": show_box_choices = ['specimens','samples','sites'] if UPPER_LEVEL == "site": show_box_choices = ['specimens','samples'] if UPPER_LEVEL == "sample": show_box_choices = ['specimens'] self.show_box = wx.ComboBox(self.panel, -1, size=(100*self.GUI_RESOLUTION, 25), value='specimens', choices=show_box_choices, style=wx.CB_DROPDOWN,name="high_elements") self.Bind(wx.EVT_COMBOBOX, self.on_select_show_box,self.show_box) #coordinates box self.coordinates_box = wx.ComboBox(self.panel, -1, size=(100*self.GUI_RESOLUTION, 25), choices=self.parent.coordinate_list, value=self.parent.coordinates_box.GetValue(), style=wx.CB_DROPDOWN, name="coordinates") self.Bind(wx.EVT_COMBOBOX, self.on_select_coordinates,self.coordinates_box) #bounds select boxes self.tmin_box = wx.ComboBox(self.panel, -1, size=(80*self.GUI_RESOLUTION, 25), choices=[''] + self.parent.T_list, style=wx.CB_DROPDOWN, name="lower bound") self.tmax_box = wx.ComboBox(self.panel, -1, size=(80*self.GUI_RESOLUTION, 25), choices=[''] + self.parent.T_list, style=wx.CB_DROPDOWN, name="upper bound") #color box self.color_dict = self.parent.color_dict self.color_box = wx.ComboBox(self.panel, -1, size=(80*self.GUI_RESOLUTION, 25), choices=[''] + self.color_dict.keys(), style=wx.TE_PROCESS_ENTER, name="color") self.Bind(wx.EVT_TEXT_ENTER, self.add_new_color, self.color_box) #name box self.name_box = wx.TextCtrl(self.panel, -1, size=(80*self.GUI_RESOLUTION, 25), name="name") #more mac stuff h_size_buttons,button_spacing = 25,5.5 if is_mac: h_size_buttons,button_spacing = 18,0. #buttons self.add_all_button = wx.Button(self.panel, id=-1, label='add new fit to all specimens',size=(160*self.GUI_RESOLUTION,h_size_buttons)) self.add_all_button.SetFont(font1) self.Bind(wx.EVT_BUTTON, self.add_fit_to_all, self.add_all_button) self.add_fit_button = wx.Button(self.panel, id=-1, label='add fit to highlighted specimens',size=(160*self.GUI_RESOLUTION,h_size_buttons)) self.add_fit_button.SetFont(font1) self.Bind(wx.EVT_BUTTON, self.add_highlighted_fits, self.add_fit_button) self.delete_fit_button = wx.Button(self.panel, id=-1, label='delete highlighted fits',size=(160*self.GUI_RESOLUTION,h_size_buttons)) self.delete_fit_button.SetFont(font1) self.Bind(wx.EVT_BUTTON, self.delete_highlighted_fits, self.delete_fit_button) self.apply_changes_button = wx.Button(self.panel, id=-1, label='apply changes to highlighted fits',size=(160*self.GUI_RESOLUTION,h_size_buttons)) self.apply_changes_button.SetFont(font1) self.Bind(wx.EVT_BUTTON, self.apply_changes, self.apply_changes_button) #windows display_window_0 = wx.GridSizer(2, 1, 10*self.GUI_RESOLUTION, 19*self.GUI_RESOLUTION) display_window_1 = wx.GridSizer(2, 1, 10*self.GUI_RESOLUTION, 19*self.GUI_RESOLUTION) display_window_2 = wx.GridSizer(2, 1, 10*self.GUI_RESOLUTION, 19*self.GUI_RESOLUTION) name_window = wx.GridSizer(2, 1, 10*self.GUI_RESOLUTION, 19*self.GUI_RESOLUTION) bounds_window = wx.GridSizer(2, 1, 10*self.GUI_RESOLUTION, 19*self.GUI_RESOLUTION) buttons1_window = wx.GridSizer(4, 1, 5*self.GUI_RESOLUTION, 19*self.GUI_RESOLUTION) display_window_0.AddMany( [(self.coordinates_box, wx.ALIGN_LEFT), (self.show_box, wx.ALIGN_LEFT)] ) display_window_1.AddMany( [(self.level_box, wx.ALIGN_LEFT), (self.mean_type_box, wx.ALIGN_LEFT)] ) display_window_2.AddMany( [(self.level_names, wx.ALIGN_LEFT), (self.mean_fit_box, wx.ALIGN_LEFT)] ) name_window.AddMany( [(self.name_box, wx.ALIGN_LEFT), (self.color_box, wx.ALIGN_LEFT)] ) bounds_window.AddMany( [(self.tmin_box, wx.ALIGN_LEFT), (self.tmax_box, wx.ALIGN_LEFT)] ) buttons1_window.AddMany( [(self.add_fit_button, wx.ALL|wx.ALIGN_CENTER|wx.SHAPED, 0), (self.add_all_button, wx.ALL|wx.ALIGN_CENTER|wx.SHAPED, 0), (self.delete_fit_button, wx.ALL|wx.ALIGN_CENTER|wx.SHAPED, 0), (self.apply_changes_button, wx.ALL|wx.ALIGN_CENTER|wx.SHAPED, 0)]) self.display_sizer.Add(display_window_0, 1, wx.TOP|wx.EXPAND, 8) self.display_sizer.Add(display_window_1, 1, wx.TOP | wx.LEFT|wx.EXPAND, 8) self.display_sizer.Add(display_window_2, 1, wx.TOP | wx.LEFT|wx.EXPAND, 8) self.name_sizer.Add(name_window, 1, wx.TOP, 5.5) self.bounds_sizer.Add(bounds_window, 1, wx.TOP, 5.5) self.buttons_sizer.Add(buttons1_window, 1, wx.TOP, 0) #duplicate higher levels plot self.fig = Figure((2.5*self.GUI_RESOLUTION, 2.5*self.GUI_RESOLUTION), dpi=100) self.canvas = FigCanvas(self.panel, -1, self.fig, ) self.toolbar = NavigationToolbar(self.canvas) self.toolbar.Hide() self.toolbar.zoom() self.higher_EA_setting = "Zoom" self.canvas.Bind(wx.EVT_LEFT_DCLICK,self.on_equalarea_higher_select) self.canvas.Bind(wx.EVT_MOTION,self.on_change_higher_mouse_cursor) self.canvas.Bind(wx.EVT_MIDDLE_DOWN,self.home_higher_equalarea) self.canvas.Bind(wx.EVT_RIGHT_DOWN,self.pan_zoom_higher_equalarea) self.eqarea = self.fig.add_subplot(111) draw_net(self.eqarea) #Higher Level Statistics Box self.stats_sizer = wx.StaticBoxSizer( wx.StaticBox( self.panel, wx.ID_ANY,"mean statistics" ), wx.VERTICAL) for parameter in ['mean_type','dec','inc','alpha95','K','R','n_lines','n_planes']: COMMAND="self.%s_window=wx.TextCtrl(self.panel,style=wx.TE_CENTER|wx.TE_READONLY,size=(75*self.GUI_RESOLUTION,25))"%parameter exec COMMAND COMMAND="self.%s_window.SetBackgroundColour(wx.WHITE)"%parameter exec COMMAND COMMAND="self.%s_window.SetFont(font2)"%parameter exec COMMAND COMMAND="self.%s_outer_window = wx.GridSizer(1,2,5*self.GUI_RESOLUTION,15*self.GUI_RESOLUTION)"%parameter exec COMMAND COMMAND="""self.%s_outer_window.AddMany([ (wx.StaticText(self.panel,label='%s',style=wx.TE_CENTER),wx.EXPAND), (self.%s_window, wx.EXPAND)])"""%(parameter,parameter,parameter) exec COMMAND COMMAND="self.stats_sizer.Add(self.%s_outer_window, 1, wx.ALIGN_LEFT|wx.EXPAND, 0)"%parameter exec COMMAND self.switch_stats_button = wx.SpinButton(self.panel, id=wx.ID_ANY, style=wx.SP_HORIZONTAL|wx.SP_ARROW_KEYS|wx.SP_WRAP, name="change stats") self.Bind(wx.EVT_SPIN, self.on_select_stats_button,self.switch_stats_button) #construct panel hbox0 = wx.BoxSizer(wx.HORIZONTAL) hbox0.Add(self.name_sizer,flag=wx.ALIGN_TOP|wx.EXPAND,border=8) hbox0.Add(self.bounds_sizer,flag=wx.ALIGN_TOP|wx.EXPAND,border=8) vbox0 = wx.BoxSizer(wx.VERTICAL) vbox0.Add(hbox0,flag=wx.ALIGN_TOP,border=8) vbox0.Add(self.buttons_sizer,flag=wx.ALIGN_TOP,border=8) hbox1 = wx.BoxSizer(wx.HORIZONTAL) hbox1.Add(vbox0,flag=wx.ALIGN_TOP,border=8) hbox1.Add(self.stats_sizer,flag=wx.ALIGN_TOP,border=8) hbox1.Add(self.switch_stats_button,flag=wx.ALIGN_TOP|wx.EXPAND,border=8) vbox1 = wx.BoxSizer(wx.VERTICAL) vbox1.Add(self.display_sizer,flag=wx.ALIGN_TOP,border=8) vbox1.Add(hbox1,flag=wx.ALIGN_TOP,border=8) vbox1.Add(self.canvas,proportion=1,flag=wx.ALIGN_CENTER_HORIZONTAL | wx.ALIGN_CENTER_VERTICAL | wx.EXPAND,border=8) vbox2 = wx.BoxSizer(wx.VERTICAL) vbox2.Add(self.search_bar,proportion=.5,flag=wx.ALIGN_LEFT | wx.ALIGN_BOTTOM | wx.EXPAND, border=8) vbox2.Add(self.logger,proportion=1,flag=wx.ALIGN_LEFT|wx.EXPAND,border=8) hbox2 = wx.BoxSizer(wx.HORIZONTAL) hbox2.Add(vbox2,proportion=1,flag=wx.ALIGN_LEFT|wx.EXPAND) hbox2.Add(vbox1,flag=wx.ALIGN_TOP|wx.EXPAND) self.panel.SetSizerAndFit(hbox2) hbox2.Fit(self) ################################Logger Functions################################## def update_editor(self): """ updates the logger and plot on the interpretation editor window @param: changed_interpretation_parameters -> if the logger should be whipped and completely recalculated from scratch or not (default = True) """ self.fit_list = [] self.search_choices = [] for specimen in self.specimens_list: if specimen not in self.parent.pmag_results_data['specimens']: continue self.fit_list += [(fit,specimen) for fit in self.parent.pmag_results_data['specimens'][specimen]] self.logger.DeleteAllItems() offset = 0 for i in range(len(self.fit_list)): i -= offset v = self.update_logger_entry(i) if v == "s": offset += 1 def update_logger_entry(self,i): """ helper function that given a index in this objects fit_list parameter inserts a entry at that index @param: i -> index in fit_list to find the (specimen_name,fit object) tup that determines all the data for this logger entry. """ if i < len(self.fit_list): tup = self.fit_list[i] elif i < self.logger.GetItemCount(): self.logger.DeleteItem(i) return else: return coordinate_system = self.parent.COORDINATE_SYSTEM fit = tup[0] pars = fit.get(coordinate_system) fmin,fmax,n,ftype,dec,inc,mad = "","","","","","","" specimen = tup[1] if coordinate_system=='geographic': block_key = 'zijdblock_geo' elif coordinate_system=='tilt-corrected': block_key = 'zijdblock_tilt' else: block_key = 'zijdblock' name = fit.name if pars == {} and self.parent.Data[specimen][block_key] != []: fit.put(specimen, coordinate_system, self.parent.get_PCA_parameters(specimen,fit,fit.tmin,fit.tmax,coordinate_system,fit.PCA_type)) pars = fit.get(coordinate_system) elif self.parent.Data[specimen][block_key]==[]: spars = fit.get('specimen') fmin = fit.tmin fmax = fit.tmax if 'specimen_n' in spars.keys(): n = str(spars['specimen_n']) else: n = 'No Data' if 'calculation_type' in spars.keys(): ftype = spars['calculation_type'] else: ftype = 'No Data' dec = 'No Data' inc = 'No Data' mad = 'No Data' else: if 'measurement_step_min' in pars.keys(): fmin = str(fit.tmin) if 'measurement_step_max' in pars.keys(): fmax = str(fit.tmax) if 'specimen_n' in pars.keys(): n = str(pars['specimen_n']) if 'calculation_type' in pars.keys(): ftype = pars['calculation_type'] if 'specimen_dec' in pars.keys(): dec = "%.1f"%pars['specimen_dec'] if 'specimen_inc' in pars.keys(): inc = "%.1f"%pars['specimen_inc'] if 'specimen_mad' in pars.keys(): mad = "%.1f"%pars['specimen_mad'] if 'specimen_alpha95' in pars.keys(): a95 = "%.1f"%pars['specimen_alpha95'] if 'specimen_k' in pars.keys(): sk = "%.1f"%pars['specimen_k'] if 'specimen_r' in pars.keys(): sr2 = "%.1f"%pars['specimen_r_sq'] if self.search_query != "": entry = (specimen+name+fmin+fmax+n+ftype+dec+inc+mad).replace(" ","").lower() if self.search_query not in entry: self.fit_list.pop(i) if i < self.logger.GetItemCount(): self.logger.DeleteItem(i) return "s" for e in (specimen,name,fmin,fmax,n,ftype,dec,inc,mad): if e not in self.search_choices: self.search_choices.append(e) if i < self.logger.GetItemCount(): self.logger.DeleteItem(i) self.logger.InsertStringItem(i, str(specimen)) self.logger.SetStringItem(i, 1, name) self.logger.SetStringItem(i, 2, fmin) self.logger.SetStringItem(i, 3, fmax) self.logger.SetStringItem(i, 4, n) self.logger.SetStringItem(i, 5, ftype) self.logger.SetStringItem(i, 6, dec) self.logger.SetStringItem(i, 7, inc) self.logger.SetStringItem(i, 8, mad) self.logger.SetItemBackgroundColour(i,"WHITE") a,b = False,False if fit in self.parent.bad_fits: self.logger.SetItemBackgroundColour(i,"red") b = True if self.parent.current_fit == fit: self.logger.SetItemBackgroundColour(i,"LIGHT BLUE") self.logger_focus(i) self.current_fit_index = i a = True if a and b: self.logger.SetItemBackgroundColour(i,"red") def update_current_fit_data(self): """ updates the current_fit of the parent Zeq_GUI entry in the case of it's data being changed """ if self.current_fit_index: self.update_logger_entry(self.current_fit_index) def change_selected(self,new_fit): """ updates passed in fit or index as current fit for the editor (does not affect parent), if no parameters are passed in it sets first fit as current @param: new_fit -> fit object to highlight as selected """ if self.search_query and self.parent.current_fit not in map(lambda x: x[0], self.fit_list): return if self.current_fit_index == None: if not self.parent.current_fit: return for i,(fit,specimen) in enumerate(self.fit_list): if fit == self.parent.current_fit: self.current_fit_index = i break i = 0 if isinstance(new_fit, Fit): for i, (fit,speci) in enumerate(self.fit_list): if fit == new_fit: break elif type(new_fit) is int: i = new_fit elif new_fit != None: print('cannot select fit of type: ' + str(type(new_fit))) if self.current_fit_index != None and \ len(self.fit_list) > 0 and \ self.fit_list[self.current_fit_index][0] in self.parent.bad_fits: self.logger.SetItemBackgroundColour(self.current_fit_index,"") else: self.logger.SetItemBackgroundColour(self.current_fit_index,"WHITE") self.current_fit_index = i if self.fit_list[self.current_fit_index][0] in self.parent.bad_fits: self.logger.SetItemBackgroundColour(self.current_fit_index,"red") else: self.logger.SetItemBackgroundColour(self.current_fit_index,"LIGHT BLUE") def logger_focus(self,i,focus_shift=16): """ focuses the logger on an index 12 entries below i @param: i -> index to focus on """ if self.logger.GetItemCount()-1 > i+focus_shift: i += focus_shift else: i = self.logger.GetItemCount()-1 self.logger.Focus(i) def OnClick_listctrl(self, event): """ Edits the logger and the Zeq_GUI parent object to select the fit that was newly selected by a double click @param: event -> wx.ListCtrlEvent that triggered this function """ i = event.GetIndex() if self.parent.current_fit == self.fit_list[i][0]: return self.parent.initialize_CART_rot(self.fit_list[i][1]) si = self.parent.specimens.index(self.fit_list[i][1]) self.parent.specimens_box.SetSelection(si) self.parent.select_specimen(self.fit_list[i][1]) self.change_selected(i) fi = 0 while (self.parent.s == self.fit_list[i][1] and i >= 0): i,fi = (i-1,fi+1) self.parent.update_fit_box() self.parent.fit_box.SetSelection(fi-1) self.parent.update_selection() def OnRightClickListctrl(self, event): """ Edits the logger and the Zeq_GUI parent object so that the selected interpretation is now marked as bad @param: event -> wx.ListCtrlEvent that triggered this function """ i = event.GetIndex() fit = self.fit_list[i][0] if fit in self.parent.bad_fits: self.parent.bad_fits.remove(fit) if i == self.current_fit_index: self.logger.SetItemBackgroundColour(i,"LIGHT BLUE") else: self.logger.SetItemBackgroundColour(i,"WHITE") else: self.parent.bad_fits.append(fit) if i == self.current_fit_index: self.logger.SetItemBackgroundColour(i,"red") else: self.logger.SetItemBackgroundColour(i,"red") self.parent.calculate_higher_levels_data() self.parent.plot_higher_levels_data() self.logger_focus(i) ##################################Search Bar Functions############################### def on_enter_search_bar(self,event): self.search_query = self.search_bar.GetValue().replace(" ","").lower() self.update_editor() # def on_complete_search_bar(self,event): # self.search_bar.AutoComplete(self.search_choices) ###################################ComboBox Functions################################ def add_new_color(self,event): new_color = self.color_box.GetValue() if ':' in new_color: color_list = new_color.split(':') color_name = color_list[0] color_val = map(eval, tuple(color_list[1].strip('( )').split(','))) for val in color_val: if val > 1 or val < 0: print("invalid RGB sequence"); return else: return self.color_dict[color_name] = color_val #clear old box self.color_box.Clear() #update fit box self.color_box.SetItems([''] + self.color_dict.keys()) def on_select_coordinates(self,event): self.parent.coordinates_box.SetStringSelection(self.coordinates_box.GetStringSelection()) self.parent.onSelect_coordinates(event) def on_select_show_box(self,event): """ """ self.parent.UPPER_LEVEL_SHOW=self.show_box.GetValue() self.parent.calculate_higher_levels_data() self.parent.update_selection() def on_select_higher_level(self,event,called_by_parent=False): """ alters the possible entries in level_names combobox to give the user selections for which specimen interpretations to display in the logger @param: event -> the wx.COMBOBOXEVENT that triggered this function """ UPPER_LEVEL=self.level_box.GetValue() if UPPER_LEVEL=='sample': self.level_names.SetItems(self.parent.samples) self.level_names.SetStringSelection(self.parent.Data_hierarchy['sample_of_specimen'][self.parent.s]) if UPPER_LEVEL=='site': self.level_names.SetItems(self.parent.sites) self.level_names.SetStringSelection(self.parent.Data_hierarchy['site_of_specimen'][self.parent.s]) if UPPER_LEVEL=='location': self.level_names.SetItems(self.parent.locations) self.level_names.SetStringSelection(self.parent.Data_hierarchy['location_of_specimen'][self.parent.s]) if UPPER_LEVEL=='study': self.level_names.SetItems(['this study']) self.level_names.SetStringSelection('this study') if not called_by_parent: self.parent.level_box.SetStringSelection(UPPER_LEVEL) self.parent.onSelect_higher_level(event,True) self.on_select_level_name(event) def on_select_level_name(self,event,called_by_parent=False): """ change this objects specimens_list to control which specimen interpretatoins are displayed in this objects logger @param: event -> the wx.ComboBoxEvent that triggered this function """ high_level_name=str(self.level_names.GetValue()) if self.level_box.GetValue()=='sample': self.specimens_list=self.parent.Data_hierarchy['samples'][high_level_name]['specimens'] elif self.level_box.GetValue()=='site': self.specimens_list=self.parent.Data_hierarchy['sites'][high_level_name]['specimens'] elif self.level_box.GetValue()=='location': self.specimens_list=self.parent.Data_hierarchy['locations'][high_level_name]['specimens'] elif self.level_box.GetValue()=='study': self.specimens_list=self.parent.Data_hierarchy['study']['this study']['specimens'] if not called_by_parent: self.parent.level_names.SetStringSelection(high_level_name) self.parent.onSelect_level_name(event,True) self.specimens_list.sort(cmp=specimens_comparator) self.update_editor() def on_select_mean_type_box(self, event): """ set parent Zeq_GUI to reflect change in this box and change the @param: event -> the wx.ComboBoxEvent that triggered this function """ new_mean_type = self.mean_type_box.GetValue() if new_mean_type == "None": self.parent.clear_higher_level_pars() self.parent.mean_type_box.SetStringSelection(new_mean_type) self.parent.onSelect_mean_type_box(event) def on_select_mean_fit_box(self, event): """ set parent Zeq_GUI to reflect the change in this box then replot the high level means plot @param: event -> the wx.COMBOBOXEVENT that triggered this function """ new_mean_fit = self.mean_fit_box.GetValue() self.parent.mean_fit_box.SetStringSelection(new_mean_fit) self.parent.onSelect_mean_fit_box(event) ###################################Button Functions################################## def on_select_stats_button(self,event): """ """ i = self.switch_stats_button.GetValue() self.parent.switch_stats_button.SetValue(i) self.parent.update_higher_level_stats() def add_highlighted_fits(self, evnet): """ adds a new interpretation to each specimen highlighted in logger if multiple interpretations are highlighted of the same specimen only one new interpretation is added @param: event -> the wx.ButtonEvent that triggered this function """ specimens = [] next_i = self.logger.GetNextSelected(-1) if next_i == -1: return else: while next_i != -1: fit,specimen = self.fit_list[next_i] if specimen in specimens: next_i = self.logger.GetNextSelected(next_i) continue else: specimens.append(specimen) next_i = self.logger.GetNextSelected(next_i) for specimen in specimens: self.add_fit_to_specimen(specimen) self.update_editor() self.parent.update_selection() def add_fit_to_all(self,event): for specimen in self.parent.specimens: self.add_fit_to_specimen(specimen) self.update_editor() self.parent.update_selection() def add_fit_to_specimen(self,specimen): if specimen not in self.parent.pmag_results_data['specimens']: self.parent.pmag_results_data['specimens'][specimen] = [] new_name = self.name_box.GetLineText(0) new_color = self.color_box.GetValue() new_tmin = self.tmin_box.GetValue() new_tmax = self.tmax_box.GetValue() if not new_name: next_fit = str(len(self.parent.pmag_results_data['specimens'][specimen]) + 1) while ("Fit " + next_fit) in map(lambda x: x.name, self.parent.pmag_results_data['specimens'][specimen]): next_fit = str(int(next_fit) + 1) new_name = ("Fit " + next_fit) if not new_color: next_fit = str(len(self.parent.pmag_results_data['specimens'][specimen]) + 1) new_color = self.parent.colors[(int(next_fit)-1) % len(self.parent.colors)] else: new_color = self.color_dict[new_color] if not new_tmin: new_tmin = None if not new_tmax: new_tmax = None if new_name in map(lambda x: x.name, self.parent.pmag_results_data['specimens'][specimen]): print('-E- interpretation called ' + new_name + ' already exsists for specimen ' + specimen) return new_fit = Fit(new_name, new_tmax, new_tmin, new_color, self.parent) new_fit.put(specimen,self.parent.COORDINATE_SYSTEM,self.parent.get_PCA_parameters(specimen,new_fit,new_tmin,new_tmax,self.parent.COORDINATE_SYSTEM,"DE-BFL")) self.parent.pmag_results_data['specimens'][specimen].append(new_fit) def delete_highlighted_fits(self, event): """ iterates through all highlighted fits in the logger of this object and removes them from the logger and the Zeq_GUI parent object @param: event -> the wx.ButtonEvent that triggered this function """ next_i = -1 deleted_items = [] while True: next_i = self.logger.GetNextSelected(next_i) if next_i == -1: break deleted_items.append(next_i) deleted_items.sort(cmp=lambda x,y: y - x) for item in deleted_items: self.delete_entry(index=item) self.parent.update_selection() def delete_entry(self, fit = None, index = None): """ deletes the single item from the logger of this object that corrisponds to either the passed in fit or index. Note this function mutaits the logger of this object if deleting more than one entry be sure to pass items to delete in from highest index to lowest or else odd things can happen. @param: fit -> Fit object to delete from this objects logger @param: index -> integer index of the entry to delete from this objects logger """ if type(index) == int and not fit: fit,specimen = self.fit_list[index] if fit and type(index) == int: for i, (f,s) in enumerate(self.fit_list): if fit == f: index,specimen = i,s break if index == self.current_fit_index: self.current_fit_index = None if fit not in self.parent.pmag_results_data['specimens'][specimen]: print("cannot remove item (entry #: " + str(index) + ") as it doesn't exist, this is a dumb bug contact devs") self.logger.DeleteItem(index) return self.parent.pmag_results_data['specimens'][specimen].remove(fit) del self.fit_list[index] self.logger.DeleteItem(index) def apply_changes(self, event): """ applies the changes in the various attribute boxes of this object to all highlighted fit objects in the logger, these changes are reflected both in this object and in the Zeq_GUI parent object. @param: event -> the wx.ButtonEvent that triggered this function """ new_name = self.name_box.GetLineText(0) new_color = self.color_box.GetValue() new_tmin = self.tmin_box.GetValue() new_tmax = self.tmax_box.GetValue() next_i = -1 changed_i = [] while True: next_i = self.logger.GetNextSelected(next_i) if next_i == -1: break specimen = self.fit_list[next_i][1] fit = self.fit_list[next_i][0] if new_name: if new_name not in map(lambda x: x.name, self.parent.pmag_results_data['specimens'][specimen]): fit.name = new_name if new_color: fit.color = self.color_dict[new_color] #testing not_both = True if new_tmin and new_tmax: if fit == self.parent.current_fit: self.parent.tmin_box.SetStringSelection(new_tmin) self.parent.tmax_box.SetStringSelection(new_tmax) fit.put(specimen,self.parent.COORDINATE_SYSTEM, self.parent.get_PCA_parameters(specimen,fit,new_tmin,new_tmax,self.parent.COORDINATE_SYSTEM,fit.PCA_type)) not_both = False if new_tmin and not_both: if fit == self.parent.current_fit: self.parent.tmin_box.SetStringSelection(new_tmin) fit.put(specimen,self.parent.COORDINATE_SYSTEM, self.parent.get_PCA_parameters(specimen,fit,new_tmin,fit.tmax,self.parent.COORDINATE_SYSTEM,fit.PCA_type)) if new_tmax and not_both: if fit == self.parent.current_fit: self.parent.tmax_box.SetStringSelection(new_tmax) fit.put(specimen,self.parent.COORDINATE_SYSTEM, self.parent.get_PCA_parameters(specimen,fit,fit.tmin,new_tmax,self.parent.COORDINATE_SYSTEM,fit.PCA_type)) changed_i.append(next_i) offset = 0 for i in changed_i: i -= offset v = self.update_logger_entry(i) if v == "s": offset += 1 self.parent.update_selection() ###################################Canvas Functions################################## def scatter(self,*args,**kwargs): # args_corrected = self.eqarea.transAxes.transform(vstack(args).T) # x,y = args_corrected.T self.eqarea.scatter(*args,**kwargs) def plot(self,*args,**kwargs): # args_corrected = self.eqarea.transAxes.transform(vstack(args).T) # x,y = args_corrected.T self.eqarea.plot(*args,**kwargs) def write(self,text): self.eqarea.text(-1.2,1.15,text,{'family':self.font_type, 'fontsize':10*self.GUI_RESOLUTION, 'style':'normal','va':'center', 'ha':'left' }) def draw_net(self): draw_net(self.eqarea) def draw(self): self.toolbar.home() self.eqarea.set_xlim(-1., 1.) self.eqarea.set_ylim(-1., 1.) self.eqarea.axes.set_aspect('equal') self.eqarea.axis('off') self.canvas.draw() def pan_zoom_higher_equalarea(self,event): """ Uses the toolbar for the canvas to change the function from zoom to pan or pan to zoom @param: event -> the wx.MouseEvent that triggered this funciton """ if event.LeftIsDown() or event.ButtonDClick(): return elif self.higher_EA_setting == "Zoom": self.higher_EA_setting = "Pan" try: self.toolbar.pan('off') except TypeError: pass elif self.higher_EA_setting == "Pan": self.higher_EA_setting = "Zoom" try: self.toolbar.zoom() except TypeError: pass else: self.higher_EA_setting = "Zoom" try: self.toolbar.zoom() except TypeError: pass def home_higher_equalarea(self,event): """ returns higher equal area to it's original position @param: event -> the wx.MouseEvent that triggered the call of this function @alters: toolbar setting """ self.toolbar.home() def on_change_higher_mouse_cursor(self,event): """ If mouse is over data point making it selectable change the shape of the cursor @param: event -> the wx Mouseevent for that click """ if self.show_box.GetValue() != "specimens": return if not self.parent.higher_EA_xdata or not self.parent.higher_EA_ydata: return pos=event.GetPosition() width, height = self.canvas.get_width_height() pos[1] = height - pos[1] xpick_data,ypick_data = pos xdata_org = self.parent.higher_EA_xdata ydata_org = self.parent.higher_EA_ydata data_corrected = self.eqarea.transData.transform(vstack([xdata_org,ydata_org]).T) xdata,ydata = data_corrected.T xdata = map(float,xdata) ydata = map(float,ydata) e = 4e0 if self.higher_EA_setting == "Zoom": self.canvas.SetCursor(wx.StockCursor(wx.CURSOR_CROSS)) elif self.higher_EA_setting == "Pan": self.canvas.SetCursor(wx.StockCursor(wx.CURSOR_WATCH)) else: self.canvas.SetCursor(wx.StockCursor(wx.CURSOR_ARROW)) for i,(x,y) in enumerate(zip(xdata,ydata)): if 0 < sqrt((x-xpick_data)**2. + (y-ypick_data)**2.) < e: self.canvas.SetCursor(wx.StockCursor(wx.CURSOR_HAND)) break def on_equalarea_higher_select(self,event): self.parent.on_equalarea_higher_select(event,fig = self.eqarea, canvas = self.canvas) ###############################Window Functions###################################### def on_close_edit_window(self, event): """ the function that is triggered on the close of the interpretation editor window @param: event -> wx.WindowEvent that triggered this function """ self.parent.ie_open = False self.Destroy()
def init_UI(self): """ Builds User Interface for the interpretation Editor """ #set fonts FONT_WEIGHT=1 if sys.platform.startswith('win'): FONT_WEIGHT=-1 font1 = wx.Font(9+FONT_WEIGHT, wx.SWISS, wx.NORMAL, wx.NORMAL, False, self.font_type) font2 = wx.Font(12+FONT_WEIGHT, wx.SWISS, wx.NORMAL, wx.NORMAL, False, self.font_type) #if you're on mac do some funny stuff to make it look okay is_mac = False if sys.platform.startswith("darwin"): is_mac = True self.search_bar = wx.SearchCtrl(self.panel, size=(350*self.GUI_RESOLUTION,25) ,style=wx.TE_PROCESS_ENTER | wx.TE_PROCESS_TAB | wx.TE_NOHIDESEL) self.Bind(wx.EVT_TEXT_ENTER, self.on_enter_search_bar,self.search_bar) self.Bind(wx.EVT_SEARCHCTRL_SEARCH_BTN, self.on_enter_search_bar,self.search_bar) # self.Bind(wx.EVT_TEXT, self.on_complete_search_bar,self.search_bar) #build logger self.logger = wx.ListCtrl(self.panel, -1, size=(350*self.GUI_RESOLUTION,475*self.GUI_RESOLUTION),style=wx.LC_REPORT) self.logger.SetFont(font1) self.logger.InsertColumn(0, 'specimen',width=55*self.GUI_RESOLUTION) self.logger.InsertColumn(1, 'fit name',width=45*self.GUI_RESOLUTION) self.logger.InsertColumn(2, 'max',width=35*self.GUI_RESOLUTION) self.logger.InsertColumn(3, 'min',width=35*self.GUI_RESOLUTION) self.logger.InsertColumn(4, 'n',width=25*self.GUI_RESOLUTION) self.logger.InsertColumn(5, 'fit type',width=60*self.GUI_RESOLUTION) self.logger.InsertColumn(6, 'dec',width=35*self.GUI_RESOLUTION) self.logger.InsertColumn(7, 'inc',width=35*self.GUI_RESOLUTION) self.logger.InsertColumn(8, 'mad',width=35*self.GUI_RESOLUTION) self.Bind(wx.EVT_LIST_ITEM_ACTIVATED, self.OnClick_listctrl, self.logger) self.Bind(wx.EVT_LIST_ITEM_RIGHT_CLICK,self.OnRightClickListctrl,self.logger) #set fit attributes box self.display_sizer = wx.StaticBoxSizer(wx.StaticBox(self.panel, wx.ID_ANY, "display options"), wx.HORIZONTAL) self.name_sizer = wx.StaticBoxSizer(wx.StaticBox(self.panel, wx.ID_ANY, "fit name/color"), wx.VERTICAL) self.bounds_sizer = wx.StaticBoxSizer(wx.StaticBox(self.panel, wx.ID_ANY, "fit bounds"), wx.VERTICAL) self.buttons_sizer = wx.StaticBoxSizer(wx.StaticBox(self.panel, wx.ID_ANY), wx.VERTICAL) #logger display selection box UPPER_LEVEL = self.parent.level_box.GetValue() if UPPER_LEVEL=='sample': name_choices = self.parent.samples if UPPER_LEVEL=='site': name_choices = self.parent.sites if UPPER_LEVEL=='location': name_choices = self.parent.locations if UPPER_LEVEL=='study': name_choices = ['this study'] self.level_box = wx.ComboBox(self.panel, -1, size=(100*self.GUI_RESOLUTION, 25), value=UPPER_LEVEL, choices=['sample','site','location','study'], style=wx.CB_DROPDOWN) self.Bind(wx.EVT_COMBOBOX, self.on_select_higher_level,self.level_box) self.level_names = wx.ComboBox(self.panel, -1, size=(100*self.GUI_RESOLUTION, 25), value=self.parent.level_names.GetValue(), choices=name_choices, style=wx.CB_DROPDOWN) self.Bind(wx.EVT_COMBOBOX, self.on_select_level_name,self.level_names) #mean type and plot display boxes self.mean_type_box = wx.ComboBox(self.panel, -1, size=(100*self.GUI_RESOLUTION, 25), value=self.parent.mean_type_box.GetValue(), choices=['Fisher','Fisher by polarity','None'], style=wx.CB_DROPDOWN,name="high_type") self.Bind(wx.EVT_COMBOBOX, self.on_select_mean_type_box,self.mean_type_box) self.mean_fit_box = wx.ComboBox(self.panel, -1, size=(100*self.GUI_RESOLUTION, 25), value=self.parent.mean_fit, choices=(['None','All'] + self.parent.fit_list), style=wx.CB_DROPDOWN,name="high_type") self.Bind(wx.EVT_COMBOBOX, self.on_select_mean_fit_box,self.mean_fit_box) #show box if UPPER_LEVEL == "study" or UPPER_LEVEL == "location": show_box_choices = ['specimens','samples','sites'] if UPPER_LEVEL == "site": show_box_choices = ['specimens','samples'] if UPPER_LEVEL == "sample": show_box_choices = ['specimens'] self.show_box = wx.ComboBox(self.panel, -1, size=(100*self.GUI_RESOLUTION, 25), value='specimens', choices=show_box_choices, style=wx.CB_DROPDOWN,name="high_elements") self.Bind(wx.EVT_COMBOBOX, self.on_select_show_box,self.show_box) #coordinates box self.coordinates_box = wx.ComboBox(self.panel, -1, size=(100*self.GUI_RESOLUTION, 25), choices=self.parent.coordinate_list, value=self.parent.coordinates_box.GetValue(), style=wx.CB_DROPDOWN, name="coordinates") self.Bind(wx.EVT_COMBOBOX, self.on_select_coordinates,self.coordinates_box) #bounds select boxes self.tmin_box = wx.ComboBox(self.panel, -1, size=(80*self.GUI_RESOLUTION, 25), choices=[''] + self.parent.T_list, style=wx.CB_DROPDOWN, name="lower bound") self.tmax_box = wx.ComboBox(self.panel, -1, size=(80*self.GUI_RESOLUTION, 25), choices=[''] + self.parent.T_list, style=wx.CB_DROPDOWN, name="upper bound") #color box self.color_dict = self.parent.color_dict self.color_box = wx.ComboBox(self.panel, -1, size=(80*self.GUI_RESOLUTION, 25), choices=[''] + self.color_dict.keys(), style=wx.TE_PROCESS_ENTER, name="color") self.Bind(wx.EVT_TEXT_ENTER, self.add_new_color, self.color_box) #name box self.name_box = wx.TextCtrl(self.panel, -1, size=(80*self.GUI_RESOLUTION, 25), name="name") #more mac stuff h_size_buttons,button_spacing = 25,5.5 if is_mac: h_size_buttons,button_spacing = 18,0. #buttons self.add_all_button = wx.Button(self.panel, id=-1, label='add new fit to all specimens',size=(160*self.GUI_RESOLUTION,h_size_buttons)) self.add_all_button.SetFont(font1) self.Bind(wx.EVT_BUTTON, self.add_fit_to_all, self.add_all_button) self.add_fit_button = wx.Button(self.panel, id=-1, label='add fit to highlighted specimens',size=(160*self.GUI_RESOLUTION,h_size_buttons)) self.add_fit_button.SetFont(font1) self.Bind(wx.EVT_BUTTON, self.add_highlighted_fits, self.add_fit_button) self.delete_fit_button = wx.Button(self.panel, id=-1, label='delete highlighted fits',size=(160*self.GUI_RESOLUTION,h_size_buttons)) self.delete_fit_button.SetFont(font1) self.Bind(wx.EVT_BUTTON, self.delete_highlighted_fits, self.delete_fit_button) self.apply_changes_button = wx.Button(self.panel, id=-1, label='apply changes to highlighted fits',size=(160*self.GUI_RESOLUTION,h_size_buttons)) self.apply_changes_button.SetFont(font1) self.Bind(wx.EVT_BUTTON, self.apply_changes, self.apply_changes_button) #windows display_window_0 = wx.GridSizer(2, 1, 10*self.GUI_RESOLUTION, 19*self.GUI_RESOLUTION) display_window_1 = wx.GridSizer(2, 1, 10*self.GUI_RESOLUTION, 19*self.GUI_RESOLUTION) display_window_2 = wx.GridSizer(2, 1, 10*self.GUI_RESOLUTION, 19*self.GUI_RESOLUTION) name_window = wx.GridSizer(2, 1, 10*self.GUI_RESOLUTION, 19*self.GUI_RESOLUTION) bounds_window = wx.GridSizer(2, 1, 10*self.GUI_RESOLUTION, 19*self.GUI_RESOLUTION) buttons1_window = wx.GridSizer(4, 1, 5*self.GUI_RESOLUTION, 19*self.GUI_RESOLUTION) display_window_0.AddMany( [(self.coordinates_box, wx.ALIGN_LEFT), (self.show_box, wx.ALIGN_LEFT)] ) display_window_1.AddMany( [(self.level_box, wx.ALIGN_LEFT), (self.mean_type_box, wx.ALIGN_LEFT)] ) display_window_2.AddMany( [(self.level_names, wx.ALIGN_LEFT), (self.mean_fit_box, wx.ALIGN_LEFT)] ) name_window.AddMany( [(self.name_box, wx.ALIGN_LEFT), (self.color_box, wx.ALIGN_LEFT)] ) bounds_window.AddMany( [(self.tmin_box, wx.ALIGN_LEFT), (self.tmax_box, wx.ALIGN_LEFT)] ) buttons1_window.AddMany( [(self.add_fit_button, wx.ALL|wx.ALIGN_CENTER|wx.SHAPED, 0), (self.add_all_button, wx.ALL|wx.ALIGN_CENTER|wx.SHAPED, 0), (self.delete_fit_button, wx.ALL|wx.ALIGN_CENTER|wx.SHAPED, 0), (self.apply_changes_button, wx.ALL|wx.ALIGN_CENTER|wx.SHAPED, 0)]) self.display_sizer.Add(display_window_0, 1, wx.TOP|wx.EXPAND, 8) self.display_sizer.Add(display_window_1, 1, wx.TOP | wx.LEFT|wx.EXPAND, 8) self.display_sizer.Add(display_window_2, 1, wx.TOP | wx.LEFT|wx.EXPAND, 8) self.name_sizer.Add(name_window, 1, wx.TOP, 5.5) self.bounds_sizer.Add(bounds_window, 1, wx.TOP, 5.5) self.buttons_sizer.Add(buttons1_window, 1, wx.TOP, 0) #duplicate higher levels plot self.fig = Figure((2.5*self.GUI_RESOLUTION, 2.5*self.GUI_RESOLUTION), dpi=100) self.canvas = FigCanvas(self.panel, -1, self.fig, ) self.toolbar = NavigationToolbar(self.canvas) self.toolbar.Hide() self.toolbar.zoom() self.higher_EA_setting = "Zoom" self.canvas.Bind(wx.EVT_LEFT_DCLICK,self.on_equalarea_higher_select) self.canvas.Bind(wx.EVT_MOTION,self.on_change_higher_mouse_cursor) self.canvas.Bind(wx.EVT_MIDDLE_DOWN,self.home_higher_equalarea) self.canvas.Bind(wx.EVT_RIGHT_DOWN,self.pan_zoom_higher_equalarea) self.eqarea = self.fig.add_subplot(111) draw_net(self.eqarea) #Higher Level Statistics Box self.stats_sizer = wx.StaticBoxSizer( wx.StaticBox( self.panel, wx.ID_ANY,"mean statistics" ), wx.VERTICAL) for parameter in ['mean_type','dec','inc','alpha95','K','R','n_lines','n_planes']: COMMAND="self.%s_window=wx.TextCtrl(self.panel,style=wx.TE_CENTER|wx.TE_READONLY,size=(75*self.GUI_RESOLUTION,25))"%parameter exec COMMAND COMMAND="self.%s_window.SetBackgroundColour(wx.WHITE)"%parameter exec COMMAND COMMAND="self.%s_window.SetFont(font2)"%parameter exec COMMAND COMMAND="self.%s_outer_window = wx.GridSizer(1,2,5*self.GUI_RESOLUTION,15*self.GUI_RESOLUTION)"%parameter exec COMMAND COMMAND="""self.%s_outer_window.AddMany([ (wx.StaticText(self.panel,label='%s',style=wx.TE_CENTER),wx.EXPAND), (self.%s_window, wx.EXPAND)])"""%(parameter,parameter,parameter) exec COMMAND COMMAND="self.stats_sizer.Add(self.%s_outer_window, 1, wx.ALIGN_LEFT|wx.EXPAND, 0)"%parameter exec COMMAND self.switch_stats_button = wx.SpinButton(self.panel, id=wx.ID_ANY, style=wx.SP_HORIZONTAL|wx.SP_ARROW_KEYS|wx.SP_WRAP, name="change stats") self.Bind(wx.EVT_SPIN, self.on_select_stats_button,self.switch_stats_button) #construct panel hbox0 = wx.BoxSizer(wx.HORIZONTAL) hbox0.Add(self.name_sizer,flag=wx.ALIGN_TOP|wx.EXPAND,border=8) hbox0.Add(self.bounds_sizer,flag=wx.ALIGN_TOP|wx.EXPAND,border=8) vbox0 = wx.BoxSizer(wx.VERTICAL) vbox0.Add(hbox0,flag=wx.ALIGN_TOP,border=8) vbox0.Add(self.buttons_sizer,flag=wx.ALIGN_TOP,border=8) hbox1 = wx.BoxSizer(wx.HORIZONTAL) hbox1.Add(vbox0,flag=wx.ALIGN_TOP,border=8) hbox1.Add(self.stats_sizer,flag=wx.ALIGN_TOP,border=8) hbox1.Add(self.switch_stats_button,flag=wx.ALIGN_TOP|wx.EXPAND,border=8) vbox1 = wx.BoxSizer(wx.VERTICAL) vbox1.Add(self.display_sizer,flag=wx.ALIGN_TOP,border=8) vbox1.Add(hbox1,flag=wx.ALIGN_TOP,border=8) vbox1.Add(self.canvas,proportion=1,flag=wx.ALIGN_CENTER_HORIZONTAL | wx.ALIGN_CENTER_VERTICAL | wx.EXPAND,border=8) vbox2 = wx.BoxSizer(wx.VERTICAL) vbox2.Add(self.search_bar,proportion=.5,flag=wx.ALIGN_LEFT | wx.ALIGN_BOTTOM | wx.EXPAND, border=8) vbox2.Add(self.logger,proportion=1,flag=wx.ALIGN_LEFT|wx.EXPAND,border=8) hbox2 = wx.BoxSizer(wx.HORIZONTAL) hbox2.Add(vbox2,proportion=1,flag=wx.ALIGN_LEFT|wx.EXPAND) hbox2.Add(vbox1,flag=wx.ALIGN_TOP|wx.EXPAND) self.panel.SetSizerAndFit(hbox2) hbox2.Fit(self)
print('Measured Power: {0:3.0f} uW'.format(Ps)) print('') print('Laser Beam at Objective Specimen Plane-') print('Calculated Power: {0:3.0f} uW'.format(Po)) print('Measured Width: {0:1.1f} um, '.format(Wo_FWHM) + 'in FWHM') print('') print('Beam Profile Pixelation at Back Focal Plane-') print('Calibration: {0:1.3f} um/pixel'.format(cal)) print('Size: {0} x {1} pixels, '.format(beam_profile.shape[0], beam_profile.shape[1]) + 'covering 3 standard deviations') print('<Plotting power of beam profile>') fig = Figure() beam_plot = fig.add_subplot( 121, title='Single point\n laser beam profile\n at specimen plane (uW)', xlabel='pixel', ylabel='pixel', ) axes_image = beam_plot.imshow(beam_profile, interpolation='nearest') fig.colorbar(axes_image) print('') print('Region of Interest-') print('Drawn Size: {0} x {1} pixels'.format(w, h) +\ ' or {0:1.2f} x {1:1.2f} um'.format(w_um, h_um)) print('Drawn Area: {0:1.2f} um^2'.format(drawn_area)) print('...but due to edge spill over from laser raster scan...')
def station_gain_bar_chart(ms, station_name, time_slots, data, output_name= None): dpi=50 if output_name is None: fig = figure(figsize=(38,24), dpi=dpi) else: fig = Figure(figsize=(38,24), dpi=dpi) station_name_list = list(ms.tables['antennae']['NAME']) num_stations = len(station_name_list) station_id = station_name_list.index(station_name) ref_freq_mhz = ms.tables['spectral_windows'][0]['REF_FREQUENCY']/1.e6 is_autocorrelation = array([station_name == name for name in ms.tables['antennae']['NAME']]) noise = ma.array(data[station_id,:, 1:3,:].imag.std(axis=-1).mean(axis=-1), mask = is_autocorrelation) sig = median(abs(data[station_id, :, :, :]),axis=-1) signal = ma.array(sig, mask = is_autocorrelation[:, newaxis]*ones((num_stations, 4))) ax = fig.add_subplot(1,1,1) xx_bars = ax.bar(arange(len(station_name_list))-0.4, signal[:, 0], width=0.2, color='blue', label='xx') xy_bars = ax.bar(arange(len(station_name_list))-0.2, signal[:, 1], width=0.2, color='lightblue', label='xy') yx_bars = ax.bar(arange(len(station_name_list)) , signal[:, 2], width=0.2, color='lightpink', label='yx') yy_bars = ax.bar(arange(len(station_name_list))+0.2, signal[:, 3], width=0.2, color='red', label='yy') for x_pos, name in enumerate(station_name_list): if name != station_name: ax.text(x_pos, signal[x_pos,:].max()*1.02, name, rotation='vertical', horizontalalignment='center', verticalalignment='bottom', fontsize=25) ax.text(x_pos, signal[x_pos,:].max()*-0.01, name, rotation='vertical', horizontalalignment='center', verticalalignment='top', fontsize=25) else: ax.text(x_pos, 0.0, ' Reference station: '+name, rotation='vertical', horizontalalignment='center', verticalalignment='bottom', fontsize=25) ax.set_xlabel('Station', fontsize=40) ax.set_ylabel('Visibility amplitude', fontsize=40) ax.set_ylim(0, ma.max(signal)*1.2) ax.set_xlim(-1.0, num_stations) ax.set_xticklabels([]) ax.set_title('%s:\nVis. amp. with station %s at %5.2f MHz' % (ms.msname, station_name, ref_freq_mhz), fontsize=40) old_legend_fontsize = rcParams['legend.fontsize'] rcParams.update({'legend.fontsize': 25}) legend_instance = ax.legend() for label in ax.get_yticklabels(): label.set_fontsize(40) if output_name is not None: canvas = FigureCanvasAgg(fig) if output_name[-4:] in ['.jpg', '.JPG']: canvas.print_jpg(output_name, dpi=dpi, quality=55) else: canvas.print_figure(output_name, dpi=dpi) pass rcParams.update({'legend.fontsize': old_legend_fontsize})