title: Plot width settings in ipython notebook
body: <p>I've got the following plots:</p>
  
  <p><img src="https://i.stack.imgur.com/ToD4U.png" alt="sound signals"></p>
  
  <p>It would look nicer if they have the same width. Do you have any idea how to do it in ipython notebook when I am using <code>%matplotlib inline</code>?</p>
  
  <p><strong>UPDATE:</strong></p>
  
  <p>To generate both figures I am using the following functions:</p>
  
  <pre class="lang-py prettyprint-override"><code>import numpy as np
  import matplotlib.pyplot as plt
  
  def show_plots2d(title, plots, points, xlabel = '', ylabel = ''):
      """
      Shows 2D plot.
  
      Arguments:
          title : string
              Title of the plot.
          plots : array_like of pairs like array_like and array_like
              List of pairs,
              where first element is x axis and the second is the y axis.
          points : array_like of pairs like integer and integer
              List of pairs,
              where first element is x coordinate
              and the second is the y coordinate.
          xlabel : string
              Label of x axis
          ylabel : string
              Label of y axis
      """
      xv, yv = zip(*plots)
      y_exclNone = [y[y != np.array(None)] for y in yv]
      y_mins, y_maxs = zip(*
          [(float(min(y)), float(max(y))) for y in y_exclNone]
      )
      y_min = min(y_mins)
      y_max = max(y_maxs)
      y_amp = y_max - y_min
      plt.figure().suptitle(title)
      plt.axis(
          [xv[0][0], xv[0][-1], y_min - 0.3 * y_amp, y_max + 0.3 * y_amp]
      )
      plt.xlabel(xlabel)
      plt.ylabel(ylabel)
      for x, y in plots:
          plt.plot(x, y)
      for x, y in points:
          plt.plot(x, y, 'bo')
      plt.show()
  
  def show_plot3d(title, x, y, z, xlabel = '', ylabel = '', zlabel = ''):
      """
      Shows 3D plot.
  
      Arguments:
          title : string
              Title of the plot.
          x : array_like
              List of x coordinates
          y : array_like
              List of y coordinates
          z : array_like
              List of z coordinates
          xlabel : string
              Label of x axis
          ylabel : string
              Label of y axis
          zlabel : string
              Label of z axis
      """
      plt.figure().suptitle(title)
      plt.pcolormesh(x, y, z)
      plt.axis([x[0], x[-1], y[0], y[-1]])
      plt.xlabel(xlabel)
      plt.ylabel(ylabel)
      plt.colorbar().set_label(zlabel)
      plt.show()
  </code></pre>