Matplotlib 3.0 Cookbook

How to do it...

Here are the steps required to code the required logic:

1. Prepare the data for the polar plot:

theta = np.arange(0., 2., 1./180.)*np.pi

2. Define and instantiate the figure:

fig = plt.figure(figsize=(6, 5), dpi=100)

3. Define the axes and instantiate it on the figure:

ax = fig.add_subplot(111, projection='polar')

4. Plot the polar graph:

initial_n = 4ax.plot(theta, 5*np.cos(initial_n*theta))

5. Define and instantiate the Slider widget:

ax_s = plt.axes([0.15, 0.05, 0.25, 0.05])slider_n = Slider(ax_s, '#of leaves', 3, 10, valinit=initial_n,                   valstep=1.0)

6. Define the callback function for the Slider widget:

def onchanged(s_value):    ax.clear()    ax.plot(theta, 5*np.cos(int(s_value)*theta)) 

7. Map the on_changed event with the corresponding ...