title: Month's in the right order Python
body: <p>I need some help. I want to make a histogram where you have different dates(Year and Month). I sorted the Months and Year but it is not in the right order. Can someone help me?</p>
  
  <p>This is my code:</p>
  
  <pre><code>df["Report Date"] = pd.to_datetime(df['Report Date'])
  df_gesorteerd = df.groupby(df['Report Date'].dt.strftime('%B %Y'))['Agency Id'].sum()
  </code></pre>
  
  <p>The spider console gives me the following information:</p>
  
  <pre><code>Report Date
  April 2016        70926
  April 2017        69953
  April 2018        67335
  August 2016       71694
  August 2017       74894
  August 2018       69463
  December 2016     67162
  December 2017     68038
  February 2017     63745
  February 2018     62229
  January 2017      66202
  January 2018      69533
  July 2016         66205
  July 2017         71750
  July 2018         65111
  June 2016         69645
  June 2017         68122
  June 2018         61306
  March 2016           88
  March 2017        74489
  March 2018        67672
  May 2016          71183
  May 2017          74714
  May 2018          70341
  November 2016     67342
  November 2017     66511
  October 2016      74240
  October 2017      71187
  September 2016    72979
  September 2017    72342
  September 2018    67844
  Name: Agency Id, dtype: int64
  </code></pre>
  
  <p>You can see that the Months as well as the Years are not in the right order, I did like to see the following code appear on my screen:</p>
  
  <pre><code>Report Date
  March 2016 88
  April 2016 70926
  June 2016 69645
  ...
  </code></pre>
  
  <p>When I have this information I did like to make a histogram with on the X-axis the Report Date and on the Y-axis the number of calls?</p>
  
  <p>Can anayone help me?</p>