diff --git a/README.md b/README.md
index 89582da..72e6ce2 100644
--- a/README.md
+++ b/README.md
@@ -10,7 +10,7 @@ Install this application:
 - `miniconda`: https://docs.conda.io/projects/miniconda/en/latest/miniconda-install.html
   - If you already have miniconda or anaconda installed (`conda` is a command in your terminal), skip this step.
 
-Download this repository by heading over to the [latest release](https://github.com/johnisom/wildfire-analyzer/releases/tag/v0.3) and downloading the source code. Unzip it.
+Download this repository by heading over to the [latest release](https://github.com/johnisom/wildfire-analyzer/releases/tag/v0.4) and downloading the source code. Unzip it.
 
 Then, open your terminal and navigate to the unzipped repository. In a terminal with miniconda active (`conda` is a useable command), install python package dependencies:
 ```sh
diff --git a/src/plotting.py b/src/plotting.py
index 990687a..fc02c4c 100644
--- a/src/plotting.py
+++ b/src/plotting.py
@@ -11,8 +11,10 @@ def plot_counties_by_number_of_fires(counties_geo_df, keys, plot_title):
   zero_fire_counts = counties_geo_df[counties_geo_df.fire_count == 0]
   more_than_zero_fire_counts = counties_geo_df[counties_geo_df.fire_count > 0]
   fig, ax = plt.subplots(figsize=[12, 8])
-  zero_fire_counts.plot(ax=ax, color='grey', legend=True, aspect=1)
-  more_than_zero_fire_counts.plot(ax=ax, column='fire_count', legend=True, norm=LogNorm(vmin=more_than_zero_fire_counts.fire_count.min(), vmax=more_than_zero_fire_counts.fire_count.max()))
+  if len(zero_fire_counts) > 0:
+    zero_fire_counts.plot(ax=ax, color='grey', legend=True)
+  if len(more_than_zero_fire_counts) > 0:
+    more_than_zero_fire_counts.plot(ax=ax, column='fire_count', legend=True, norm=LogNorm(vmin=more_than_zero_fire_counts.fire_count.min(), vmax=more_than_zero_fire_counts.fire_count.max()))
   ax.tick_params(axis='both', which='both', bottom=False, left=False, labelbottom=False, labelleft=False)
   ax.set_title(plot_title)
   fig.supxlabel('(Gray: data not available)')
@@ -25,8 +27,10 @@ def plot_counties_by_total_area_burned(counties_geo_df, keys, plot_title):
   zero_acres_burned = counties_geo_df[counties_geo_df.acres_burned == 0]
   more_than_zero_acres_burned = counties_geo_df[counties_geo_df.acres_burned > 0]
   fig, ax = plt.subplots(figsize=[12, 8])
-  zero_acres_burned.plot(ax=ax, color='grey', legend=True, aspect=1)
-  more_than_zero_acres_burned.plot(ax=ax, column='acres_burned', legend=True, norm=LogNorm(vmin=more_than_zero_acres_burned.acres_burned.min(), vmax=more_than_zero_acres_burned.acres_burned.max()))
+  if len(zero_acres_burned) > 0:
+    zero_acres_burned.plot(ax=ax, color='grey', legend=True)
+  if len(more_than_zero_acres_burned) > 0:
+    more_than_zero_acres_burned.plot(ax=ax, column='acres_burned', legend=True, norm=LogNorm(vmin=more_than_zero_acres_burned.acres_burned.min(), vmax=more_than_zero_acres_burned.acres_burned.max()))
   ax.tick_params(axis='both', which='both', bottom=False, left=False, labelbottom=False, labelleft=False)
   ax.set_title(plot_title)
   fig.supxlabel('(Gray: data not available)')