我们从Python开源项目中，提取了以下50个代码示例，用于说明如何使用matplotlib.backends.backend_tkagg.FigureCanvasTkAgg()。
def __init__(self, parent, controller): tk.Frame.__init__(self, parent) self.configure(bg=BG_COLOR) self.trends = Figure(figsize=(5, 5), dpi=100) self.a = self.trends.add_subplot(111) canvas = FigureCanvasTkAgg(self.trends, self) canvas.show() canvas.get_tk_widget().pack(side=tk.TOP, fill=tk.BOTH, expand=1) toolbar = NavigationToolbar2TkAgg(canvas, self) toolbar.update() canvas._tkcanvas.pack(side=tk.BOTTOM, fill=tk.BOTH, expand=1) self.animation = FuncAnimation(self.trends, self.animate, 5000)
def plot_window(self, fig, name=""): top_fig = tk.Toplevel() top_fig.lift() top_fig.title(name) top_fig.rowconfigure(1, weight=1) def _quit(): top_fig.destroy() canvas = FigureCanvasTkAgg(fig, master=top_fig) canvas.show() canvas.get_tk_widget().grid(row=1, column=0, columnspan = 3, pady=(15,15), padx=(25,25), sticky=tk.N+tk.S+tk.E+tk.W) button = tk.Button(top_fig, height=1, width=20, text="Dismiss", bg='gray97', command=_quit, relief=tk.GROOVE) button.grid(row=2, column=0, columnspan=1, sticky=tk.W, pady=(10,10), padx=(20,20)) toolbar_frame = tk.Frame(top_fig) toolbar_frame.grid(row=0,column=0,columnspan=2, sticky=tk.W+tk.E) NavigationToolbar2TkAgg( canvas, toolbar_frame ) top_fig.resizable(width=tk.FALSE, height=tk.FALSE)
def plot1(self, x, y, ticks, strlab, ID): self.f = Figure(figsize=(3,4), dpi=100) self.ax1 = self.f.add_subplot(111) self.canvas = FigureCanvasTkAgg(self.f, master=root) self.canvas.show() self.canvas.get_tk_widget().grid(row = 0, column = 0, rowspan = 3, columnspan = 1, sticky = W+E+N+S) self.ax1.set_xticklabels(ticks) for tick in self.ax1.xaxis.get_major_ticks(): tick.label.set_fontsize(6) # specify integer or one of preset strings, e.g. #tick.label.set_fontsize('x-small') tick.label.set_rotation(30) if(strlab == "INT"): self.ax1.set_title('Integral Graph: %s' % ID) if(strlab == "FRQ"): self.ax1.set_title('Frequency Graph: %s' % ID) self.ax1.plot(x,y)
def plot2(self, x, y, ticks, strlab, ID): self.f1 = Figure(figsize=(3,4), dpi=100) self.ax2 = self.f1.add_subplot(111) self.canvas4 = FigureCanvasTkAgg(self.f1, master=root) self.canvas4.show() self.canvas4.get_tk_widget().grid(row = 3, column = 0, rowspan = 3, columnspan = 1, sticky = W+E+N+S) self.ax2.set_xticklabels(ticks) for tick in self.ax2.xaxis.get_major_ticks(): tick.label.set_fontsize(6) # specify integer or one of preset strings, e.g. #tick.label.set_fontsize('x-small') tick.label.set_rotation(30) if(strlab == "INT"): self.ax2.set_title('Integral Graph: %s' % ID) if(strlab == "FRQ"): self.ax2.set_title('Frequency Graph: %s' % ID) self.ax2.plot(x,y) # Search tree by ARB ID
def __init__(self, parent, controller): tk.Frame.__init__(self, parent) label = tk.Label(self, text="Graph Page!", font=LARGE_FONT) label.pack(pady=10,padx=10) button1 = ttk.Button(self, text="Back to Home", command=lambda: controller.show_frame(StartPage)) button1.pack() canvas = FigureCanvasTkAgg(f, self) canvas.show() canvas.get_tk_widget().pack(side=tk.BOTTOM, fill=tk.BOTH, expand=True) toolbar = NavigationToolbar2TkAgg(canvas, self) toolbar.update() canvas._tkcanvas.pack(side=tk.TOP, fill=tk.BOTH, expand=True)
def __init__(self, master = []): self.master = master # Erstellen des Fensters mit Rahmen und Canvas self.figure = Figure(figsize = (7, 7), dpi = 100) self.frame_c = Frame(relief = GROOVE, bd = 2) self.frame_c.pack(fill = BOTH, expand = 1,) self.canvas = FigureCanvasTkAgg(self.figure, master = self.frame_c) self.canvas.show() self.canvas.get_tk_widget().pack(fill = BOTH, expand = 1) # Erstellen der Toolbar unten self.toolbar = NavigationToolbar2TkAgg(self.canvas, self.frame_c) self.toolbar.update() self.canvas._tkcanvas.pack(fill = BOTH, expand = 1)
def __init__(self,master=[]): self.master=master #Erstellen des Fensters mit Rahmen und Canvas self.figure = Figure(figsize=(7,7), dpi=100) self.frame_c=Frame(relief = GROOVE,bd = 2) self.frame_c.pack(fill=BOTH, expand=1,) self.canvas = FigureCanvasTkAgg(self.figure, master=self.frame_c) self.canvas.show() self.canvas.get_tk_widget().pack(fill=BOTH, expand=1) #Erstellen der Toolbar unten self.toolbar = NavigationToolbar2TkAgg(self.canvas, self.frame_c) self.toolbar.update() self.canvas._tkcanvas.pack( fill=BOTH, expand=1)
def initialize_display(self): self.openButton = tk.Button(self, text = "Open File", command = self.get_filepath) self.openButton.grid(row = 0, column = 0) # This is just here to easily close the app during testing self.quitButton = tk.Button(self, text = "Quit", command = self.quit) self.quitButton.grid(row = 1, column = 0) # testing alternative plotting solution f = Figure(figsize=(5, 4), dpi=100) a = f.add_subplot(111) t = arange(0.0, 3.0, 0.01) s = sin(2*pi*t) a.plot(t, s) canvas = FigureCanvasTkAgg(f, master=drawing_panel) canvas.show() # canvas.get_tk_widget().grid(row = 10, column = 10) # canvas._tkcanvas.grid(row = 10, column = 10) canvas.get_tk_widget().pack(side=tk.TOP, fill=tk.BOTH, expand=1) # toolbar = NavigationToolbar2TkAgg(canvas, root) # toolbar.update() canvas._tkcanvas.pack(side=tk.TOP, fill=tk.BOTH, expand=1)
def __init__(self, root, controller): f = Figure() nticks = 10 ax = f.add_subplot(111, aspect='1') ax.set_xticks([x*(x_max-x_min)/nticks+x_min for x in range(nticks+1)]) ax.set_yticks([y*(y_max-y_min)/nticks+y_min for y in range(1,nticks+1)]) ax.set_xlim((x_min, x_max)) ax.set_ylim((y_min, y_max)) canvas = FigureCanvasTkAgg(f, master=root) canvas.show() canvas.get_tk_widget().pack(side=Tk.TOP, fill=Tk.BOTH, expand=1) canvas._tkcanvas.pack(side=Tk.TOP, fill=Tk.BOTH, expand=1) canvas.mpl_connect('button_press_event', self.onclick) toolbar = NavigationToolbar2TkAgg(canvas, root) toolbar.update() self.controllbar = ControllBar(root, controller) self.f = f self.ax = ax self.canvas = canvas self.controller = controller self.contours = [] self.c_labels = None self.plot_kernels()
def updateRegionMap(self, user_defined_update=False, time_dependent_update=False, time_dependent_year=None) : # Re-plot the region map self.view_edit_region_plot_axes.clear() self.createRegionFigure(update=True, user_defined_update=user_defined_update, time_dependent_update=time_dependent_update, time_dependent_year=time_dependent_year) if user_defined_update or time_dependent_update: self.view_edit_region_canvas.draw() else : self.view_edit_region_window.title(self.view_edit_region_button_text.get()) self.view_edit_region_canvas.get_tk_widget().grid_remove() self.view_edit_region_canvas = FigureCanvasTkAgg(self.view_edit_region_figure, master=self.view_edit_region_frame) self.view_edit_region_canvas.show() self.view_edit_region_canvas.get_tk_widget().grid(row=0, column=0) if self.current_region == 'user-defined' : if (self.region_mask > 0).any() : self.user_defined_region_ok_button.configure(state=tk.NORMAL) else : self.user_defined_region_ok_button.configure(state=tk.DISABLED) elif self.region_is_time_dependent[self.current_region] : self.updateTimeDependentPreviousNext(time_dependent_year) # Step 3 Method: Update Region Mask
def setup_GUI(fig): # working with GUI -------------------------------------------- print '\ninitializing...' GUI = tk.Tk() GUI.title('CSL - Autovox') GUI.minsize(150,150) GUI.geometry('1280x400+0+0') f0 = tk.Frame(GUI) # defining frame f0.pack(fill='both',expand=True) f0_area = tk.Canvas(f0, width=10,height=10) # defining canvas area within frame f0_area.pack(side=tk.TOP) graph = FigureCanvasTkAgg(fig) graph.show() graph.pack() # but1 = tk.Button(f0, text='Show Voxel Build', height=1, width=15, command= lambda: show_vox_build()) # but1.pack(side=tk.RIGHT) # f0_area.create_window(10,10, window=but1) GUI.mainloop() # -------------------------------------------------------------
def makeGraph(self): self.graphFigure = Figure(figsize=(1,0.1), dpi=50, facecolor="black") self.subplot = self.graphFigure.add_subplot(1,1,1, facecolor=(0.3, 0.3, 0.3)) self.subplot.tick_params(axis="y", colors="grey", labelbottom="off", bottom="off") self.subplot.tick_params(axis="x", colors="grey", labelbottom="off", bottom="off") self.graphFigure.axes[0].get_xaxis().set_ticklabels([]) self.graphFigure.subplots_adjust(left=0, bottom=0, right=1, top=1, wspace=0, hspace=0) self.graphCanvas = FigureCanvasTkAgg(self.graphFigure, self) self.graphCanvas.get_tk_widget().configure(bg="black") self.graphCanvas.get_tk_widget().grid(row="2", column="2", columnspan="3", sticky="news") yValues = self.mainWindow.characterDetector.playbackLogReader.logEntryFrequency self.highestValue = 0 for value in yValues: if value > self.highestValue: self.highestValue = value self.subplot.plot(yValues, "dodgerblue") self.timeLine, = self.subplot.plot([0, 0], [0, self.highestValue], "white") #self.graphFigure.axes[0].set_xlim(0, len(yValues)) self.subplot.margins(0.005,0.01) self.graphCanvas.show() self.mainWindow.makeDraggable(self.graphCanvas.get_tk_widget())
def __init__(self, parent, settings, labelHandler, **kwargs): tk.Frame.__init__(self, parent, **kwargs) self.parent = parent self.labelHandler = labelHandler self.settings = settings self.degree = 5 self.windowWidth = self.settings.getWindowWidth() self.graphFigure = Figure(figsize=(4,2), dpi=100, facecolor="black") self.subplot = self.graphFigure.add_subplot(1,1,1, facecolor=(0.3, 0.3, 0.3)) self.subplot.tick_params(axis="y", colors="grey", direction="in") self.subplot.tick_params(axis="x", colors="grey", labelbottom="off", bottom="off") self.graphFigure.axes[0].get_xaxis().set_ticklabels([]) self.graphFigure.subplots_adjust(left=(30/self.windowWidth), bottom=(15/self.windowWidth), right=1, top=(1-15/self.windowWidth), wspace=0, hspace=0) self.canvas = FigureCanvasTkAgg(self.graphFigure, self) self.canvas.get_tk_widget().configure(bg="black") self.canvas.get_tk_widget().pack(side=tk.BOTTOM, fill=tk.BOTH, expand=True) self.canvas.show()
def __init__(self, root, controller): f = Figure() ax = f.add_subplot(111) ax.set_xticks([]) ax.set_yticks([]) ax.set_xlim((x_min, x_max)) ax.set_ylim((y_min, y_max)) canvas = FigureCanvasTkAgg(f, master=root) canvas.show() canvas.get_tk_widget().pack(side=Tk.TOP, fill=Tk.BOTH, expand=1) canvas._tkcanvas.pack(side=Tk.TOP, fill=Tk.BOTH, expand=1) canvas.mpl_connect('button_press_event', self.onclick) toolbar = NavigationToolbar2TkAgg(canvas, root) toolbar.update() self.controllbar = ControllBar(root, controller) self.f = f self.ax = ax self.canvas = canvas self.controller = controller self.contours = [] self.c_labels = None self.plot_kernels()
def __loadMatplotlib(self): global FigureCanvasTkAgg, Figure if FigureCanvasTkAgg is None: try: from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg from matplotlib.figure import Figure except: FigureCanvasTkAgg = Figure = False
def addPlot( self, title, t, s, row=None, column=0, colspan=0, rowspan=0): self.__verifyItem(self.n_plots, title, True) self.__loadMatplotlib() if FigureCanvasTkAgg is False: raise Exception("Unable to load MatPlotLib - plots not available") else: fig = Figure() axes = fig.add_subplot(111) axes.plot(t,s) canvas = FigureCanvasTkAgg(fig, self.__getContainer()) canvas.fig = fig canvas.axes = axes canvas.show() # canvas.get_tk_widget().pack(side=TOP, fill=BOTH, expand=1) canvas._tkcanvas.pack(side=TOP, fill=BOTH, expand=1) self.__positionWidget(canvas.get_tk_widget(), row, column, colspan, rowspan) self.n_plots[title] = canvas return axes
def init_ui(self, root): self.figure = Figure(figsize=(5,5), dpi=100) self.subplot = self.figure.add_subplot(111) self.canvas = FigureCanvasTkAgg(self.figure, root) self.canvas.show() self.canvas.get_tk_widget().pack(fill=tk.BOTH, expand=1) toolbar = NavigationToolbar2TkAgg(self.canvas, root) toolbar.update()
def __init__(self, parent_window): # Topic Names. self.topic_names = self.get_topic_names() self.main_label = Label(parent_window, text="RTK Fix Plot", font="Times 14 bold") self.main_label.grid(row=0, columnspan=2) # Plot for RTK fix. self.first_receiver_state_received = False self.first_time_receiver_state = 0 self.figure = Figure(figsize=(figureSizeWidth, figureSizeHeight), dpi=75) self.axes_rtk_fix = self.figure.add_subplot(111) self.axes_rtk_fix.set_xlabel('Time [s]') self.axes_rtk_fix.set_ylabel('RTK Fix') self.axes_rtk_fix.grid() self.figure.tight_layout() self.axes_rtk_fix.set_yticks([0.0, 1.0]) self.canvas = FigureCanvasTkAgg(self.figure, master=parent_window) self.canvas.show() self.canvas.get_tk_widget().grid(rowspan=4, columnspan=2) # Position data. self.odometry_msg_count = 0 self.time_rtk_fix = deque([], maxlen=maxLengthDequeArray) self.rtk_fix = deque([], maxlen=maxLengthDequeArray) self.line_rtk_fix = [] # Subscribe to topics. rospy.Subscriber(self.topic_names['piksi_receiver_state'], ReceiverState, self.receiver_state_callback)
def drawGraph(self, *args): ''' Method to draw the matplotlib graph ''' self.graphFrame = Tk.Frame(self.root) f = Figure(figsize=(7,5), dpi=100) subplot = f.add_subplot(111) if self.plotType == 'line': #a.plot(self.xAxis, self.yData) subplot.plot(self.falseX, self.yData) elif self.plotType == 'bar': subplot.bar(self.xAxis, self.yData) subplot.set_title(self.Title.get()) subplot.set_xlabel(self.xLabel.get()) subplot.set_ylabel(self.yLabel.get()) subplot.set_ylim(self.yMin.get(), self.yMax.get()) subplot.set_xlim(self.xMin.get(), self.xMax.get()) #a.set_xticklabels( self.xTicLabel.get(), rotation = 45) #a.set_xticklabels(map(str, self.xAxis), rotation = 45) subplot.xticks(self.falseX, map(str, self.xAxis), rotation='vertical') # a tk.DrawingArea self.canvas = FigureCanvasTkAgg(f, master = self.graphFrame) self.canvas.show() self.canvas.get_tk_widget().pack(side=Tk.TOP, fill=Tk.BOTH, expand=1) self.canvas._tkcanvas.pack(side=Tk.TOP, fill=Tk.BOTH, expand=1) self.graphFrame.grid(row=1, rowspan=10)
def __init__(self, master): self.frame = Tk.Frame(master) self.fig = Figure( figsize=(7.5, 4), dpi=80 ) self.ax0 = self.fig.add_axes( (0.05, .05, .90, .90), axisbg=(.75,.75,.75), frameon=False) self.frame.pack(side=Tk.LEFT, fill=Tk.BOTH, expand=1) self.sidepanel=SidePanel(master) self.canvas = FigureCanvasTkAgg(self.fig, master=self.frame) self.canvas.get_tk_widget().pack(side=Tk.TOP, fill=Tk.BOTH, expand=1) self.canvas.show()
def __init__(self, parent, plotdata, plotdata_files): self.parent = parent self.plots = plotdata # example: { "dgde" : { 0 : QPlotData_instance (from file 1), 1 : QPlotData_instance (from file 2) }, ... }, where 0,1,... are indices of the filenames in plotdata_files self.plotdata_files = plotdata_files # [ "/home/.../pro/qa.PlotData.pickle", "/home/.../wat/qa.PlotData.pickle" ] self.nrows = 1 self.ncols = 1 self.blocked_draw = False self.subplot_lines = {} self.COLORS_ACTIVE = ("#555555","#F75D59","#1589FF", "black", "red", "blue") self.COLORS_INACTIVE = ("#aaaaaa","#F7bDb9","#a5a9FF", "#999999", "#FFaaaa", "#aaaaFF") self.lb1_entries = ODict() for plot_key, plot in self.plots.iteritems(): self.lb1_entries[ plot.values()[0].title ] = plot_key self.lb1 = Tk.Listbox(self.parent, selectmode=Tk.EXTENDED, exportselection=0) for plot_title in self.lb1_entries.keys(): self.lb1.insert(Tk.END, plot_title) self.lb1.pack(fill=Tk.Y, side=Tk.LEFT) self.lb2 = Tk.Listbox(self.parent, selectmode=Tk.EXTENDED, exportselection=0) self.lb2.pack(fill=Tk.Y, side=Tk.LEFT) self.figure = Figure(figsize=(5,4), dpi=100) self.canvas = FigureCanvasTkAgg(self.figure, master=self.parent) self.canvas.get_tk_widget().pack() self.canvas._tkcanvas.pack(fill=Tk.BOTH, expand=1) self.toolbar = NavigationToolbar2TkAgg( self.canvas, self.parent ) self.toolbar.update() self.canvas._tkcanvas.pack(side=Tk.TOP, fill=Tk.BOTH, expand=1) self.lb1.bind("<<ListboxSelect>>", self.on_select_lb1) self.lb2.bind("<<ListboxSelect>>", self.on_select_lb2) self.parent.bind("<Configure>", self.on_resize)
def frame2(self): from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg self.frame2 = ttk.Frame(self.master, borderwidth = 2, relief = "groove") self.frame2.place(bordermode = "outside", relwidth = 0.99, relheight = 0.72, relx = 0, rely = 0.22, x = 5, y = 5, anchor = "nw") self.frame2.canvas = ttk.Frame(self.frame2, borderwidth = 0) self.frame2.canvas.place(relwidth = 1, relheight = 1, relx = 0, anchor = "nw") self.fig = Figure(figsize = (13, 6), facecolor = "white") self.canvas = FigureCanvasTkAgg(self.fig, master = self.frame2.canvas) self.fig.canvas.mpl_connect("button_press_event", self._onClick) self.canvas.get_tk_widget().pack()
def __init__(self, parent, status, title): ttk.Frame.__init__(self, parent) self.status = status self.canvas = FigureCanvasTkAgg(status.figure, self) self.canvas.show() self.canvas.get_tk_widget().pack(side=tk.BOTTOM, fill=tk.BOTH, expand=True) self.animation = animation.FuncAnimation(status.figure, lambda i : status.update_plots(i), interval=1000)
def __init__(self, master=[]): self.master = master #Erstellen des Fensters mit Rahmen und Canvas self.figure = Figure(figsize=(7, 7), dpi=100) self.frame_c = Frame(relief = GROOVE, bd = 2) self.frame_c.pack(fill=BOTH, expand=1,) self.canvas = FigureCanvasTkAgg(self.figure, master=self.frame_c) self.canvas.show() self.canvas.get_tk_widget().pack(fill=BOTH, expand=1) #Erstellen der Toolbar unten self.toolbar = NavigationToolbar2TkAgg(self.canvas, self.frame_c) self.toolbar.update() self.canvas._tkcanvas.pack(fill=BOTH, expand=1)
def __init__(self, master=None, iter=None): self.master = master self.iter = iter self.frame_o = Frame(height=50, relief=GROOVE, bd=2) self.frame_o.pack(fill=BOTH, expand=1) self.but_update_plot = Button(master=self.frame_o, text='Start Animation', command=self.iter.start_animation) self.but_update_plot.pack(fill=BOTH, expand=1) self.figure = Figure(figsize=(6, 7), dpi=100) # a tk.DrawingArea self.frame_c = Frame(relief = GROOVE, bd = 2) self.frame_c.pack(fill=BOTH, expand=1,) self.canvas = FigureCanvasTkAgg(self.figure, master=self.frame_c) self.canvas.show() self.canvas.get_tk_widget().pack(fill=BOTH, expand=1) self.toolbar = NavigationToolbar2TkAgg(self.canvas, self.frame_c) self.toolbar.update() self.canvas._tkcanvas.pack( fill=BOTH, expand=1) self.ini_plot()
def show_histogram(self): """Generate histogram event - STRING - sent by self.x_column_selector when a column is selected""" column_name = self.x_column_selected.get() # histogram generated here - reference the canvas() method for the variable names to generate the plot print("Histogram with " + column_name + " x column to be generated") self.f = Figure(figsize = (6,4), dpi = 100) self.a = self.f.add_subplot(111) self.a = self.histogram_object.generate(column_name, self.a, color = self.plot_color) self.canvas = FigureCanvasTkAgg(self.f, master=self) self.canvas.get_tk_widget().grid(column=3, row=1, rowspan=5, sticky="nesw")
def show_scatter_plot(self): """Generate scatter plot event - STRING - sent by self.x_column_selector or self.y_column_selector when a column is selected""" x_column_name = self.x_column_selected.get() y_column_name = self.y_column_selected.get() # scatter plot generated here - reference the canvas() method for the variable names to generate the plot if x_column_name == "" or y_column_name == "": print("Both columns are not filled wont generate scatter plot") elif x_column_name == y_column_name: # print("Both columns are the same cannot plot") self.same_columns_warning_label.grid() self.same_columns_warning_label_isVisible = True else: # make sure warning label isnt there if self.same_columns_warning_label_isVisible == True: self.same_columns_warning_label.grid_remove() self.same_columns_warning_label_isVisible = False self.f = Figure(figsize = (6,4), dpi = 100) self.a = self.f.add_subplot(111) self.a = self.scatter_object.generate(x_column_name, y_column_name, self.a, color = self.plot_color) self.canvas = FigureCanvasTkAgg(self.f, master=self) self.canvas.get_tk_widget().grid(column=3, row=1, rowspan=5, sticky="nesw")
def show_regression_scatter_plot(self): """Generate scatter plot with a regression line event - STRING - sent by self.x_column_selector or self.y_column_selector when a column is selected""" x_column_name = self.x_column_selected.get() y_column_name = self.y_column_selected.get() # scatter plot generated here - reference the canvas() method for the variable names to generate the plot if x_column_name == "" or y_column_name == "": print("Both columns are not filled wont generate scatter plot") elif x_column_name == y_column_name: # print("Both columns are the same cannot plot") self.same_columns_warning_label.grid() self.same_columns_warning_label_isVisible = True else: # make sure warning label isnt there if self.same_columns_warning_label_isVisible == True: self.same_columns_warning_label.grid_remove() self.same_columns_warning_label_isVisible = False self.f = Figure(figsize = (6,4), dpi = 100) self.a = self.f.add_subplot(111) self.a = self.scatter_object.lin_generate(x_column_name, y_column_name, self.a, color = self.plot_color) self.canvas = FigureCanvasTkAgg(self.f, master=self) self.canvas.get_tk_widget().grid(column=3, row=1, rowspan=5, sticky="nesw")
def create_canvas(self): """Creates a canvas object to draw matplotlib visualizations on self.f - Figure - contains the figure object for all of the subplots self.a - Plot - the plot in question. self.canvas - FigureCanvasTkAgg - tkinter widget that holds figure""" self.f = Figure(figsize = (6,4), dpi = 100) self.a = self.f.add_subplot(111) self.canvas = FigureCanvasTkAgg(self.f, master=self) self.canvas.get_tk_widget().grid(column=3, row=1, rowspan=5, columnspan = 6, sticky="nesw") self.toolbar = NavigationToolbar2TkAgg(self.canvas, self.master) #do we want to keep this? it allows the user to save the plot so probs useful
def __init__(self, a1, a2, size): self.a1 = a1; self.a2 = a2; self.size = size; self.x = np.arange(-1 * self.size, self.size, 0.01); self.y = np.arange(-1 * self.size, self.size, 0.01); self.pointsX = []; self.pointsY = []; self.non = 0; self.distances = []; root = Tk.Tk() root.wm_title("Embedding in TK") self.f = Figure() self.plt = self.f.add_subplot(1, 1, 1) self.main(); self.update(); # a tk.DrawingArea self.canvas = FigureCanvasTkAgg(self.f, master=root) self.canvas.show() self.canvas.get_tk_widget().pack(side=Tk.TOP, fill=Tk.BOTH, expand=1) nextBtn = Tk.Button(master=root, text='Next', command=self.next) backBtn = Tk.Button(master=root, text='Back', command=self.back) quitBtn = Tk.Button(master=root, text='Quit', command=sys.exit) nextBtn.pack(side=Tk.RIGHT) backBtn.pack(side=Tk.RIGHT) quitBtn.pack(side=Tk.LEFT) Tk.mainloop()
def __create_gui(self): # Add subplots self.figure = Mat_figure(figsize=(5, 3), dpi=100) self.subplotTop = self.figure.add_subplot(211) self.subplotBottom = self.figure.add_subplot(212) # Add labels self.subplotTop.set_xlabel('Frames') self.subplotBottom.set_xlabel('Hz') # Change font size matplotlib.rcParams.update({'font.size': 10}) # Create canvas self.canvas = FigureCanvasTkAgg(self.figure, master=self.root) self.canvas.show() self.canvas.get_tk_widget().pack(side=Tk.TOP, fill=Tk.BOTH, expand=1) # We store the data that is interchanged from GuiSignalProcessor to GuiSignalPlotter in a queue self.dataQueue = LifoQueue() # Create thread that displays signal self.signalPlotThread = GuiSignalPlotter(self.root, self.cameraInstance, self.figure, self.canvas, self.subplotTop, self.subplotBottom, self.statusbar, self.video_display, self.dataQueue) # Create thread that processes signal self.signalProcessorThread = GuiSignalProcessor(self.root, self.cameraInstance, self.figure, self.canvas, self.subplotTop, self.subplotBottom, self.statusbar, self.video_display, self.dataQueue) # Start both threads self.signalPlotThread.start() self.signalProcessorThread.start()
def setup_GUI(fig): # working with GUI -------------------------------------------- print '\ninitializing...' # print 'SHELL, "echo ' + '"Start Time:' + ' >> voxBuildTiming.log"' # print 'SHELL, "echo %date% %time% >> voxBuildTiming.log"' # windows shell # print 'SHELL, "date >> voxBuildTiming.log"' # linux shell GUI = tk.Tk() GUI.title('CSL - Autovox') GUI.minsize(150,150) GUI.geometry('1280x400+0+0') f0 = tk.Frame(GUI) # defining frame f0.pack(fill='both',expand=True) f0_area = tk.Canvas(f0, width=10,height=10) # defining canvas area within frame f0_area.pack(side=tk.TOP) graph = FigureCanvasTkAgg(fig) graph.show() graph.pack() # but1 = tk.Button(f0, text='Show Voxel Build', height=1, width=15, command= lambda: show_vox_build()) # but1.pack(side=tk.RIGHT) # f0_area.create_window(10,10, window=but1) GUI.mainloop() # -------------------------------------------------------------
def create_app_graph(self): """ Create app graph """ self.graph_figure = Figure(figsize=(4.4, 2.8), dpi=100) self.graph = FigureCanvasTkAgg(self.graph_figure, master=self.frame_top) self.graph.get_tk_widget().pack(side=LEFT, expand=NO, anchor=NW) # EMBED GRAPH TOOLBAR self.graph_toolbar = NavigationToolbar2TkAgg(self.graph, self.frame_bottom).pack(side=LEFT) # PLOT STARTING PLOT self.subplot = self.graph_figure.add_subplot(111) self.lines = self.subplot.plot([1, 2, 3], [1, 2, 3]) self.change_xy_label('t(s)', 'magnitude')
def drawgraph(markethistory): global graphdrawn # Set up a graph and data sets timeplots = [] priceplots = [] # Set up the graph figgraph = Figure(figsize=(10, 10), dpi=60) # 2D Graph : 1 column, 1 Row, 1 Plot axes = figgraph.add_subplot(111) for key in markethistory: figgraph.suptitle(markethistory[key].Label) price = markethistory[key].Price timestamp = markethistory[key].Timestamp dtplot = datetime.datetime.fromtimestamp(timestamp) timeplots.insert(len(timeplots), dtplot) priceplots.insert(len(priceplots), price) # Enforce 8 decimal places axes.yaxis.set_major_formatter(FormatStrFormatter('%.8f')) # Plot the graph axes.plot(timeplots, priceplots) # Canvas placed in main frame, controlled by figgraph window.canvas = FigureCanvasTkAgg(figgraph, master=window.mainframe) window.canvas.get_tk_widget().place(relx=0.26, rely=0.01, relheight=0.46, relwidth=0.74) window.canvas.draw() graphdrawn = True # Sell order list select event.
def plotarGraficos(self): print "Gerando gráficos..." fig = plt.figure(1) # cria um vetor de figuras para serem exibidos os gráficos self.mainContainerPressao = Frame(self.frame_aba1, relief=RAISED, borderwidth=1) self.mainContainerPressao.pack(expand="true", fill="both", side="top") self.mainContainerCondutancia = Frame(self.frame_aba3, relief=RAISED, borderwidth=1) self.mainContainerCondutancia.pack(expand="true", fill="both", side="top") for i in range(1, 7): for j in range(i+1, 7): aux = pearson_def(self.valor[i], self.valor[j]) if aux < 97: self.msgAlerta.config(text="Anomalia na coorelação entre " + str(self.descricao[i]) + " e " + str(self.descricao[j]) + "\n") self.msgAlerta.pack() for i in range(1, 7): # adiciona os gráficos no vetor plot = plt.subplot(230+i) plt.title(str(self.descricao[i]), fontsize=11) plot.tick_params(axis='both', which='major', labelsize=6) plot.tick_params(axis='both', which='minor', labelsize=7) tempLim = savgol_filter(self.valor[i], 27, 2) # aplica o filtro de Savitzky-Golay # A linha abaico comentada apresenta junto com a linha de dados do gráfico, os limiares superiores e inferiores aceitaveis calculados pelo filtro de Savitzky-Golay, esta função se encontra em testes #plt.plot(self.data_mensagem[i], self.valor[i], 'r', self.data_mensagem[i], [x + 0.25*x for x in tempLim], 'b', self.data_mensagem[i], [x - 0.25*x for x in tempLim], 'b', linewidth=1.0) plt.plot(self.data_mensagem[i], self.valor[i], 'r', linewidth=1.0) plt.grid(True) canvas = FigureCanvasTkAgg(fig, master=self.mainContainerPressao) plot_widget = canvas.get_tk_widget().pack(side='top', fill='both', expand='true') fig = plt.figure(2) for i in range(7, 8): # adiciona os gráficos no vetor plt.title(str(self.descricao[i]), fontsize=11) tempLim = savgol_filter(self.valor[i], 27, 2) # aplica o filtro de Savitzky-Golay plt.plot(self.data_mensagem[i], self.valor[i], 'r', linewidth=1.0) plt.grid(True) canvas = FigureCanvasTkAgg(fig, master=self.mainContainerCondutancia) plot_widget = canvas.get_tk_widget().pack(side='top', fill='both', expand='true') # Método para conexão com o banco de dados
def updateplot(self, ellipsoid, title=None, **kwargs): if ellipsoid is None: self.figure = matplotlib.figure.Figure() self.canvas = FigureCanvasTkAgg(self.figure, master=self.parent) self.canvas.show() else: self.figure.clf() ellipsoid.plotsummary(figure=self.figure, title=title, pointcolor=kwargs.get('pointcolor', 'r')) #self.figure.canvas.draw() self.canvas.show()
def __init__(self, master, figsize=(9, 6)): tk.Frame.__init__(self, master) self.figure = Figure(figsize=figsize) self.canvas = FigureCanvasTkAgg(self.figure, master=self) self.canvas.show() self.canvas.get_tk_widget().pack(side=tk.TOP, fill=tk.BOTH, expand=1) self.toolbar = NavigationToolbar2TkAgg(self.canvas, self) self.toolbar.update()
def __init__(self, parent, controller, number_of_months, balances, interests, principals): tk.Frame.__init__(self, parent) self.controller = controller label = tk.Label(self, text="Mortgage Visualization", font=LARGE_FONT) label.pack(pady=10,padx=10) Button(self, text="Back", command=lambda: controller.show_frame(InputPage)).pack() months = list() i = 1 while i <= number_of_months: months.append(i) i = i + 1 f = Figure() f.subplots_adjust(left=0.15, right=0.95, wspace=0.25, hspace=0.75) a = f.add_subplot(211) plot1, = a.plot(months, interests,'r') plot2, = a.plot(months, principals,'g') b = f.add_subplot(212) plot3 = b.plot(months, balances, 'b') canvas = FigureCanvasTkAgg(f, self) canvas.show() canvas.get_tk_widget().pack(side=tk.BOTTOM, fill=tk.BOTH, expand=True) toolbar = NavigationToolbar2TkAgg(canvas, self) toolbar.update() canvas._tkcanvas.pack(side=tk.TOP, fill=tk.BOTH, expand=True)
def plot (self, filepath): if self.prediction is not None: self.prediction.destroy() if self.canvas is not None: self.canvas.destroy() fig = msp(filepath) canvas = FigureCanvasTkAgg(fig, master=self.root) self.canvas = canvas.get_tk_widget() self.canvas.grid(row=0, column=0) canvas.draw()
def __init__(self, master): frame = Frame(master) frame.pack() Label(frame, text="PM 2.5: ").grid(row=0, columnspan=2) Label(frame, text="µg/m^3: ").grid(row=0, column=3) Label(frame, text="PM 10: ").grid(row=1, columnspan=2) Label(frame, text="µg/m^3: ").grid(row=1, column=3) self.result_pm25 = DoubleVar() Label(frame, textvariable=self.result_pm25).grid(row=0, column=2) self.result_pm10 = DoubleVar() Label(frame, textvariable=self.result_pm10).grid(row=1, column=2) button0 = Button(frame, text="Start", command=self.sensor_wake) button0.grid(row=2, column=0) button1 = Button(frame, text="Stop", command=self.sensor_sleep) button1.grid(row=2, column=1) button2 = Button(frame, text="Read", command=self.sensor_read) button2.grid(row=2, column=2) button3 = Button(frame, text="Record", command=self.sensor_live) button3.grid(row=2, column=3) button4 = Button(frame, text="Quit", command=self.quit) button4.grid(row=2, column=4) #Label(frame, text="").grid(row=3, column=3) fig = pylab.Figure() self.canvas = FigureCanvasTkAgg(fig, master=master) self.canvas.show() self.canvas.get_tk_widget().pack(side=TOP, fill=BOTH, expand=1) self.ax = fig.add_subplot(111) self.ax.grid(True) self.ax.set_title("PM2.5 and PM10") self.ax.set_xlabel("Time (seconds)") self.ax.set_ylabel("PM (ug/m^3)") self.ax.axis([0,300,0,60]) # 0xAA, 0xB4, 0x06, 0x01, 0x01, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0xFF, 0xFF, 0x06, 0xAB
