title: How to apply different border widths for subregions in python geopandas choropleth map
body: <p>I am making choropleth maps with geopandas. I want to draw maps with two layers of borders: thinner ones for national states (geopandas default), and thicker ones for various economic communities. Is this doable in geopandas?</p>
  <p>Here is an example:</p>
  <pre><code>import geopandas as gpd
  import numpy as np
  import matplotlib.pyplot as plt
  
  world = gpd.read_file(gpd.datasets.get_path('naturalearth_lowres'))
  
  africa = world.query('continent == &quot;Africa&quot;')
  
  EAC = [&quot;KEN&quot;, &quot;RWA&quot;, &quot;TZA&quot;, &quot;UGA&quot;, &quot;BDI&quot;]
  
  africa[&quot;EAC&quot;] = np.where(np.isin(africa[&quot;iso_a3&quot;], EAC), 1, 0)
  
  africa.plot(column=&quot;pop_est&quot;)
  plt.show()
  
  </code></pre>
  <p>I have created a dummy variable for countries belonging to group EAC. I would like to draw a thicker border surrounding the countries in this group, while leaving the national borders in as well.</p>
  <p><a href="https://i.stack.imgur.com/tMGCB.png" rel="noreferrer"><img src="https://i.stack.imgur.com/tMGCB.png" alt="enter image description here" /></a></p>
  <p>EDIT:</p>
  <p>I still don't know how to make this work in subplots. Here is an example:</p>
  <pre><code>axs = [&quot;ax1&quot;, &quot;ax2&quot;]
  vars = [&quot;pop_est&quot;, &quot;gdp_md_est&quot;]
  fig, axs = plt.subplots(ncols=len(axs),
                          figsize=(10, 10),
                          sharex=True,
                          sharey=True,
                          constrained_layout=True)
  
  for ax, var in zip(axs, vars):
  
      africa.plot(ax=ax,
                  column=var,
                  edgecolor=&quot;black&quot;,
                  missing_kwds={
                      &quot;color&quot;: &quot;lightgrey&quot;,
                      &quot;hatch&quot;: &quot;///&quot;
                  })
  
      ax.set_title(var)
  
  plt.show()
  </code></pre>
  <p><a href="https://i.stack.imgur.com/zC3Zl.png" rel="noreferrer"><img src="https://i.stack.imgur.com/zC3Zl.png" alt="enter image description here" /></a></p>
  <p>I wasn't able to apply Martin's solution directly.</p>