title: Cumulative Histogram shows wrong values
body: <p>I have created this CDF and added values to the bars. The absolut values seem to be correct.
  However, when I set density to True the %s are off:</p>
  <pre><code>fig, ax = plt.subplots()
  
  values, x_pos, _ = plt.hist(x['tx'],cumulative=True, density=True, bins=np.arange(12)+ 0.7,color='dimgray',edgecolor='white',width=0.6)
  plt.xticks(range(12))
  plt.yticks(np.arange(0, 1.1, step=0.1))
  
  [plt.text(x_-0.1, val+0.01, &quot;{0:1.2f} %&quot;.format(val *100)) for x_, val in zip(x_pos, values)]
  
  
  #plt.ylabel('Proportion of addresses with \n &gt;0 outgoing transactions', fontsize=12, **font)
  #plt.xlabel('Count of outgoing transactions', fontsize=12, **font)
  #plt.rcParams[&quot;figure.figsize&quot;]=(10, 4)
  
  
  ax.set_axisbelow(True)
  ax.yaxis.set_major_formatter(ticker.PercentFormatter(xmax=1))
  
  labels = [item.get_text() for item in ax.get_xticklabels()]
  labels[1] = '1'
  labels[2] = '≤ 2'
  labels[3] = '≤ 3'
  labels[4] = '≤ 4'
  labels[5] = '≤ 5'
  labels[6] = '≤ 6'
  labels[7] = '≤ 7'
  labels[8] = '≤ 8'
  labels[9] = '≤ 9'
  labels[10] = '≤ 10'
  labels[11] = '≤ max'
  
  
  ax.set_xticklabels(labels)
  
  ax.grid(linestyle='-', linewidth='0.4', color='silver')
  fig.subplots_adjust(top=1.1)
  
  plt.savefig('filename.svg', format='svg',bbox_inches='tight')
  </code></pre>
  <p>The total number of cases is 91,213,668 and for x = 1 there are 43,210,403 cases. Thus, the % on the first bar should be 47.37% and not 50.39%.  <a href="https://i.stack.imgur.com/Rn9eY.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/Rn9eY.png" alt="%" /></a></p>
  <p>If I set Density to False, the number seems to be correct:</p>
  <p><a href="https://i.stack.imgur.com/J4Gzv.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/J4Gzv.png" alt="enter image description here" /></a></p>
  <p>Thus the plot seems to take another value than 91,213,668 to calculate the proportions. I have used the same code to plot another CDF but I could not find out where the mistake is.</p>