title: Multiple histogram graphs with Seaborn
body: <p>Graphing with matplotlib I get this 4 histograms model:
  <a href="https://i.stack.imgur.com/ho3Fs.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/ho3Fs.png" alt="4 Histograms"></a></p>
  
  <p>Using Seaborn I am getting the exact graph I need but I cannot replicate it to get 4 at a time:
  <a href="https://i.stack.imgur.com/F8l9R.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/F8l9R.png" alt="Seaborn"></a></p>
  
  <p>I want to get 4 of the seaborn graphs (image 2) in the format of the image 1 (4 at a time with the calculations I made with seaborn).</p>
  
  <p>My seaborn code is the following:</p>
  
  <pre><code>import os
  import re  
  import time
  import ipdb
  import pandas as pd
  import numpy as np
  import matplotlib.pyplot as plt
  import seaborn as sns
  BASE_DIR = os.path.dirname(os.path.abspath(__file__))
  path_file = os.path.join(BASE_DIR, 'camel_product_list.csv')
  
  gapminder = pd.read_csv(path_file)
  print(gapminder.head())
  df = gapminder
  sns.distplot(df['average_histogram_ssim'], hist=True, kde = False, label='All values')
  df = gapminder[gapminder.color == 'green']
  # sns.distplot(df['lifeExp'], hist = True, kde = True, label='Only Matches')
  sns.distplot(df['average_histogram_ssim'], hist_kws={"histtype": "step", 
                              "linewidth": 3,
                              "alpha": 1, "color": "b"} , 
                              kde = False, label='Only Matches')
  # Plot formatting
  plt.legend(prop={'size': 12})
  plt.title('ratio_image SSIM')
  plt.xlabel('Data Range')
  plt.ylabel('Density') 
  plt.show()
  </code></pre>
  
  <p>The names of the columns of the dataframe are:</p>
  
  <pre><code>'ratio_text','ratio_image', 'ratio_hist', 'ratio_sub', 'color'
  </code></pre>
  
  <p>I'm using the color column as a filter.</p>
  
  <p>How can I get the 4 seaborn plots for <strong>ratio_text','ratio_image', 'ratio_hist', 'ratio_sub',</strong> filtered by all colors and green color?</p>