Update compliance_heatmap to handle empty dataframes from all sensors

src/visualization/compliance_heatmap.py

@@ -55,7 +55,11 @@ for sensor_path in snakemake.input:
     else:
         sensors_five_minutes_row_is = pd.concat([sensors_five_minutes_row_is, sensor_five_minutes_row_is]).groupby("local_date_time").sum()
 
-
+if sensors_five_minutes_row_is.empty:
+    empty_html = open(snakemake.output[0], "w")
+    empty_html.write("There is no sensor data for " + pid)
+    empty_html.close()
+else:
     sensors_five_minutes_row_is.reset_index(inplace=True)
     # resample again to impute missing dates
     sensors_five_minutes_row_is_successive = pd.DataFrame(sensors_five_minutes_row_is.resample("5T", on="local_date_time")["has_row"].sum())