nums"># The window is number of observations that are averaged
roll_df = reshaped_df.rolling(window=6).mean()

plt.figure(figsize=(16,10))
plt.xticks(fontsize=14)
plt.yticks(fontsize=14)
plt.xlabel('Date', fontsize=14)
plt.ylabel('Number of Posts', fontsize=14)
plt.ylim(0, 35000)

# plot the roll_df instead
for column in roll_df.columns:
    plt.plot(roll_df.index, roll_df[column], 
             linewidth=3, label=roll_df[column].name)

plt.legend(fontsize=16)</pre><p>Now our chart looks something like this:</p><figure><img src="https://img-c.udemycdn.com/redactor/raw/2020-09-23_16-32-57-3c790c5a655c0c6960852aa8ee61e757.png"></figure><p>Play with the <code>window</code> argument (use <code>3</code> or <code>12</code>)&nbsp;and see how the chart changes!</p>