title: Plot specific column values in Seaborn instead of every column value
body: <p>I can't figure out how to filter a column and then plot it successfully on Seaborn.</p>
  <p>The below code works perfectly and plots a line graph with all of the unique columns values separated.</p>
  <pre><code>import geopandas as gpd
  import matplotlib.pyplot as plt 
  import pandas as pd 
  import numpy as np
  import seaborn as sns
  
  sns.set(style='darkgrid')
  data = wcsales1.loc[wcsales1.Sales_Year &gt; 2016]
  sales_year = data['Sales_Year']
  ppa = data['Price_Per_Acre']
  dates = data['LATEST_LAND_SALE_DATE']
  juris = data['PLANNING_JURISDICTION']
  
  sns.relplot(x = sales_year, y = ppa, ci=None, kind='line', hue=juris)
  plt.show()
  </code></pre>
  <p>However, I want to plot the values in the variable 'egs', listed below, which are two of many unique values in the variable 'juris'</p>
  <p>I tried the below code but am getting a Value Error, also included below.</p>
  <pre><code>import geopandas as gpd
  import matplotlib.pyplot as plt 
  import pandas as pd 
  import numpy as np
  import seaborn as sns
  
  sns.set(style='darkgrid')
  data = wcsales1.loc[wcsales1.Sales_Year &gt; 2016]
  data = data.reset_index()
  sales_year = data['Sales_Year']
  ppa = data['Price_Per_Acre']
  dates = data['LATEST_LAND_SALE_DATE']
  juris = data['PLANNING_JURISDICTION']
  egs = ['HS', 'FV']
  south = data.loc[data.PLANNING_JURISDICTION.isin(egs)]
  print(type(south))
  
  sns.relplot(x = sales_year, y = ppa, ci=None, kind='line', hue=south)
  plt.show()
  </code></pre>
  <p>Error below</p>
  <pre><code>Shape of passed values is (19, 3), indices imply (1685, 3)
  </code></pre>
  <p>Thanks for your help!</p>