title: Setting the axes tick values of a seaborn jointplot
body: <p>I'm trying to make the x and y axes (including axes tick values) of my jointplot to start and end with specific values and to be scaled in set increments.</p>
  
  <pre><code>import pandas as pd
  import numpy as np
  import seaborn as sns
  import matplotlib.pyplot as plt
  
  g = sns.jointplot(x="LONGITUDE", y="LATITUDE", data=data,
                        kind='reg', color="#774499", dropna=True, size=7, space=0.3, ratio=5,
                        xlim=(-180,180), ylim=(-90,90), fit_reg=False);
  plt.rc("legend", fontsize=15)
  plt.xlabel('Longitude', fontsize=15)
  plt.ylabel('Latitude', fontsize=15)
  plt.title('Spatial Location Plot', fontsize=15 )
  plt.tick_params(axis="both", labelsize=15)
  </code></pre>
  
  <p><a href="https://i.stack.imgur.com/8fiKZ.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/8fiKZ.png" alt="This is what I get"></a></p>
  
  <p>Notice that the lower and upper edges of both axes do not have any tick values. I want the tick values to start and end at the axes edges using exactly the values I specified in xlim() and ylim(). </p>
  
  <p>My preferred increments are 90 and 45 degrees for the X and Y axes respectively. So, I want the X axis to look this: -180, -90, 0, 90, 180.
  And the Y axis to be: -90, -45, 0, 45, 90. Thanks for your suggestions.</p>