title: How to adjust space between Matplotlib/Seaborn subplots for multi-plot layouts
body: <p>The following figure shows the standard Seaborn/Matplotlib Boxplots in a 2 X 2 grid layout:</p>
  
  <p><a href="https://i.stack.imgur.com/v9sd0.png" rel="noreferrer"><img src="https://i.stack.imgur.com/v9sd0.png" alt="seaborn/matplotlib sample boxplots"></a></p>
  
  <p>It is pretty much what I want except that I would like to put some more space between the first row of the of the plots and the second row.  The distance between the X-axis labels of the first row plots and the title of the second row plots is almost non-existent.  I have been playing with the parameters as explained in this thread:</p>
  
  <p><a href="https://stackoverflow.com/questions/6541123/improve-subplot-size-spacing-with-many-subplots-in-matplotlib">StackOverflow Thread</a></p>
  
  <p>Here is my relevant code:</p>
  
  <pre><code>    import math
      import pandas as pd
      import numpy as np
      import matplotlib.pyplot as plt
      from matplotlib.backends.backend_pdf import PdfPages
      from PyPDF2 import PdfFileMerger
      import seaborn as sns
      num_cols = 2
      num_rows = int(math.ceil(tot_plots / float(num_cols)))
      fig, axes = plt.subplots(nrows=num_rows, ncols=num_cols, figsize=(16, 16))
      x_var = df_orig['hra']
      for idx, ax in enumerate(axes.flat):
          data_var = current_cols[idx]
          y_var = df_orig[data_var]
          title_str = ''
          sns.boxplot(x=x_var, y=y_var, ax=ax,
                      order=order, palette=color, showfliers=False)
          ax.set_title(data_var + title_str)
          ax.xaxis.label.set_visible(False)
          ax.yaxis.label.set_visible(False)
          ax.xaxis.set_tick_params(labelsize=8)
          ax.yaxis.set_tick_params(labelsize=8)
          plt.setp(ax.xaxis.get_majorticklabels(), rotation=90)
      fig.suptitle("Sampling BoxPlots", x=0.5, y=0.93, fontsize=14, fontweight="bold")
      plt.tight_layout()
      plt.subplots_adjust(top=0.8)
      pdf_pages = PdfPages(file_name)
      pdf_pages.savefig()
      pdf_pages.close()
  </code></pre>