Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. The Axes Class contains most of the figure elements: Axis, Tick, Line2D, Text, Polygon, etc., and sets the coordinate system. And the instances of Axes supports callbacks through a callbacks attribute.
matplotlib.axes.Axes.draw() Function
The Axes.draw() function in axes module of matplotlib library is used to draw everything.
Syntax: Axes.draw(self, renderer=None, inframe=False)
Parameters: This method accepts the following parameters.
- renderer: This parameter is the first parameter and its default value is None.
- inframe: This parameter contains the boolean value and its default value is false.
Returns: This method does not return any value.
Below examples illustrate the matplotlib.axes.Axes.draw() function in matplotlib.axes:
Example 1:
# Implementation of matplotlib function from mpl_toolkits.mplot3d import axes3d import matplotlib.pyplot as plt fig, ax = plt.subplots() def tellme(s): ax.set_title(s, fontsize = 16) fig.canvas.draw() renderer = fig.canvas.renderer ax.draw(renderer) tellme('matplotlib.axes.Axes.draw() function Example') plt.show() |
Output:
Example 2:
# Implementation of matplotlib function from mpl_toolkits.mplot3d import axes3d import matplotlib.pyplot as plt fig = plt.figure() ax = fig.add_subplot(111, projection ='3d') X, Y, Z = axes3d.get_test_data(0.1) ax.plot_wireframe(X, Y, Z, rstride = 5, cstride = 5) for angle in range(0, 90): ax.view_init(30, angle) fig.canvas.draw() renderer = fig.canvas.renderer ax.draw(renderer) plt.pause(.001) ax.set_title('matplotlib.axes.Axes.draw()\ function Example', fontweight ="bold") |
Output:
