title: Python equivalent for MATLAB's normplot?
body: <p>Is there a python equivalent function similar to <code>normplot</code> from MATLAB?
  Perhaps in matplotlib?</p>
  
  <p>MATLAB syntax:</p>
  
  <pre><code>x = normrnd(10,1,25,1);
  normplot(x)
  </code></pre>
  
  <p>Gives:</p>
  
  <p><img src="https://i.stack.imgur.com/eSW5a.gif" alt="enter image description here"></p>
  
  <p>I have tried using matplotlib &amp; numpy module to determine the probability/percentile of the values in array but the output plot y-axis scales are linear as compared to the plot from MATLAB.</p>
  
  <pre><code>import numpy as np
  import matplotlib.pyplot as plt
  
  data =[-11.83,-8.53,-2.86,-6.49,-7.53,-9.74,-9.44,-3.58,-6.68,-13.26,-4.52]
  plot_percentiles = range(0, 110, 10) 
  
  x = np.percentile(data, plot_percentiles)
  plt.plot(x, plot_percentiles, 'ro-')
  plt.xlabel('Value')
  plt.ylabel('Probability')  
  plt.show() 
  </code></pre>
  
  <p>Gives:
  <img src="https://i.stack.imgur.com/1VvER.png" alt="enter image description here"></p>
  
  <p>Else, how could the scales be adjusted as in the first plot?</p>
  
  <p>Thanks.</p>