title: Circular plot with related temperature
body: <p>Hello guys and thanks in advance for your time.
  I'm trying to create a circular plot with a color map that should be related with different temperature values acquired on a disk in order to verify the homogeneity of the heating, but despite my numerous trial and efforts it just wont work as i'd like it to be (i'm a newbie in programming).
  Any ideas?
  Thanks for your attention and have a nice day!</p>
  
  <hr>
  
  <pre><code>    import numpy as np
      import matplotlib.pyplot as plt
      from matplotlib.colors import LinearSegmentedColormap
  
      x = np.arange(-2, 2, 0.01)
      y = np.arange(-2, 2, 0.01)
      X, Y = np.meshgrid(x, y)
      Z = X**2 + Y**2 + 1 #np.sin(X) * np.cos(Y) * 2
  
      R = 4
      Z[Z&gt;R] = 0
  
  
  
  
  
      colors = [(1,1,1), (0.99, 0.90, 0.68), (1, 0.87, 0.58), (0.93, 0.79, 0.53), (0.97, 0.71, 0.35), (0.84, 0.71, 0.27), (0.74, 0.48, 0.23), 
           (0.65, 0.44, 0.24), (0.56, 0.39, 0.23), (0.48, 0.32, 0.23),( 0.84, 0.53, 0.20), (0.21, 0.2, 0.17)]  # R -&gt; G -&gt; B
      n_bins = [100]  
      cmap_name = 'my_list'
      fig, axs = plt.subplots(2, figsize=(6, 9))
      fig.subplots_adjust(left=0.02, bottom=0.06, right=0.95, top=0.94, wspace=0.05)
      for n_bin, ax in zip(n_bins, axs.ravel()):
  
      cm = LinearSegmentedColormap.from_list(
      cmap_name, colors, N=n_bin)
  
      im = ax.imshow(Z, interpolation='nearest', origin='lower', cmap=cm)
      ax.set_title("N bins: %s" % n_bin)
      fig.colorbar(im, ax=ax)
  </code></pre>
  
  <p>This is a code that i'm trying to modify in order fit my purpose (temperature values correlation is still missing, i know...).</p>