title: Plot a graph for each country in pandas
body: <p>I have a dataframe which has three columns. The first one represents the country the second one is number of days and the third one is a count column. A sample would look like this:</p>
  
  <p><code>import pandas as pd</code></p>
  
  <p><code>df = pd.DataFrame({'Country':['USA','USA','IND','UK','UK','UK'],
                     'Days':[4,5,6,8,9,4],
                     'Count':   [10,13,7,8,2,10]})</code></p>
  
  <p>I want to plot the Days on the X-axis and the Count on the Y-axis for each country (a line plot) but i want the graphs to be in one frame much like the pair plot. Is there a way to achieve this ? Also I am not sure how to filter the dataframe and plot the filtered object as i want one graph per country?</p>
  
  <p>I want something along this line where for America it would look like this</p>
  
  <p><code>Days = [4,5]</code> 
  <code>Count = [10,13]</code> 
  <code>plt.plot(Days, Count, color='green')</code> 
  <code>plt.xlabel('Days')</code>
  <code>plt.ylabel('Count')</code> 
  <code>plt.title('Days vs count for USA')</code>
  <code>plt.show()</code> </p>
  
  <p>But i want it for every country in a seperate plot but in one frame like a pair-plot.
  Any help would be useful.Thanks!</p>