title: How to interpret the Seasonal Decompose Graphs?
body: <p><strong>I had implemented seasonal decompose on a series dataset, i.e.:</strong></p>
  <pre><code>df1_y.head()
  
  date_time
  2010-03-10 18:00:00    2.5
  2010-03-10 19:00:00    2.1
  2010-03-10 20:00:00    2.2
  2010-03-10 21:00:00    2.2
  2010-03-10 22:00:00    1.5
  Name: target_carbon_monoxide, dtype: float64
  </code></pre>
  <p>Seasonal Decopose Code:</p>
  <pre><code>from statsmodels.tsa.seasonal import seasonal_decompose
  x = seasonal_decompose(df1_y, model='multiplicative', filt=None, period=None, two_sided=True, extrapolate_trend=0)
  x.plot()
  plt.show()
  </code></pre>
  <p><strong>The following graph was displayed:</strong></p>
  <p><a href="https://i.stack.imgur.com/3e0Nr.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/3e0Nr.png" alt="enter image description here" /></a></p>
  <p><strong>So can you please tell me, what does the seasonal graph shows? Is it showing any seasonality, or there is no seasonality at all?</strong></p>