![]() ![]() In this case we're adding our MplCanvas widget as the central widget on the window with. ![]() Sc = MplCanvas(self, width=5, height=4, dpi=100) # which defines a single set of axes as self.axes. # Create the maptlotlib FigureCanvas object, Super(MainWindow, self)._init_(*args, **kwargs) If not you can install it as normal using Pip, with the following -įrom _qt5agg import FigureCanvasQTAggĭef _init_(self, parent=None, width=5, height=4, dpi=100):įig = Figure(figsize=(width, height), dpi=dpi) The following examples assume you have Matplotlib installed. There is a pandas example at the end of this tutorial. These plots can be embedded in PyQt5 in the same way shown here, and the reference to the axes passed when plotting. Many other Python libraries - such as seaborn and pandas- make use of the Matplotlib backend for plotting. In this tutorial we'll cover how to embed Matplotlib plots in your PyQt applications If you're migrating an existing data analysis tool to a Python GUI, or if you simply want to have access to the array of plot abilities that Matplotlib offers, then you'll want to know how to include Matplotlib plots within your application. However, there is another plotting library for Python which is used far more widely, and which offers a richer assortment of plots - Matplotlib. PyQtGraph uses the Qt vector-based QGraphicsScene to draw plots and provides a great interface for interactive and high performance plotting. I'm trying to connect all these red scatter points together such that they can make a square at the starting and ending of the arc.In a previous tutorial we covered plotting in PyQt5 using PyQtGraph. Result that I got from this code shown below, X4, y4 = pol2cart(radius, phi) #元 "Orange" X2, y2 = pol2cart(radius, phi) #L1 "Green" X4, Y4, Z4, = sphere2cart(radius2, arcIndex, phi) X3, Y3, Z3, = sphere2cart(radius1, arcIndex, phi) X2, Y2, Z2, = sphere2cart(radius1, arcIndex, phi) X1, Y1, Z1, = sphere2cart(radius2, arcIndex, phi) X, Y, Z, = sphere2cart(radius, arcIndex, phi) Phi = np.pi/6 # angle of circle in xy planeĪrcIndex = np.linspace(0, theta, num = 100) ![]() ![]() K = 1/radius # if you want to use k instead of radius Below you'll find a code to draw parallel arcs. Red arc is the centre of all four surrounding green arcs. I want to connect the starting point and ending point of all arcs together in matplotlib. ![]()
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