My Code (in case someone wants it): import sysįrom PyQt5.QtWidgets import QDialog, QApplication, QVBoxLayout, QLabel, QWidgetAction, QSizePolicyįbtl.setSizePolicy(QSizePolicy.Expanding, QSizePolicy. ![]() Hence, to set a single main title for all subplots, suptitle () method is used. By using this function only the individual title plots can be set but not a single title for all subplots. Setting a title for just one plot is easy using the title () method. took more lines of code that I wanted but looks ok I think I need to make it bold and/or color background to change the appearance. Practice A title in Matplotlib library describes the main subject of plotting the graphs. # indmin, indmax = np.searchsorted(x, (xmin, xmax)) Self.ylim_menu = QtWidgets.QMenu('&Limits') QtCore.QPoint(event.x, canvasSize.height()-event.y)) ![]() Rectprops=dict(alpha=0.5, facecolor='red'), _connect('button_press_event', self.on_press) # it takes the `figure` instance as a parameter to _init_ # this is the Canvas Widget that displays the `figure` We can also add figure-level x- and y-labels using FigureBase.supxlabel and FigureBase.supylabel. import sysįrom PyQt5 import QtCore, QtWidgets, QtGuiįrom PyQt5.QtWidgets import QDialog, QApplication, QVBoxLayout, QLabelįrom _qt5agg import FigureCanvasQTAgg as FigureCanvasįrom matplotlib.widgets import SpanSelector Each axes can have a title (or actually three - one each with loc 'left', 'center', and 'right'), but is sometimes desirable to give a whole figure (or SubFigure) an overall title, using FigureBase.suptitle. def init(self, title, varieties, datapoints, attrs, animFalse, datafuncNone, isheadlessFalse): global animfunc plt.close() self.legend 'Type' self.title title self.anim anim self.datafunc datafunc for i in varieties: datapoints len(varietiesi 'data') break self.headless isheadless self.drawgraph(datapoint. I can set the title (line 69) but I am not sure how to make it display. I have a RMB context menu popup but I want it to show the menu title. ![]() I am working on a Qdialog with an embedded Matplotlib plot.
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