title: How to plot a time series with multiple country?
body: <p>I've done a lot of data cleaning in my dataset to be able to have all the information needed in my data frame. I'm at the moment where I would like to visualize it but the result that I'm getting is useless.</p>
  <pre><code>#combine dataframe
  
  test = soccer_data_2.append(soccer_data_3)
  
  test = test.sort_values(by = 'date')
  
  test = pd.DataFrame(test, columns = ['date', 'Country', 'Result'])
  
  #converte date format to only have year
  
  test['date'] = pd.to_datetime(test['date'])
  
  test['year'] = test['date'].dt.year 
  
  #group my result
  
  test.set_index('year', inplace=True)
  test = test.groupby(['year', 'Country', 'Result']).Result.count()
  
  print(test) 
  
  year  Country        Result
  1873  England        Win       1
        Scotland       Win       1
  1874  England        Win       1
        Scotland       Win       1
  1876  England        Win       1
                                ..
  2019  Yorkshire      Win       2
        Zambia         Win       5
        Zimbabwe       Win       7
  2020  Costa Rica     Win       1
        United States  Win       1
  </code></pre>
  <p>I would like to find a way to plot a time series and see the evolution of victory for each country by times.</p>