Fix Pyflakes

Author: Sean Sullivan

elastic_datashader/elastic.py

@@ -168,7 +168,7 @@ def get_field_type(elastic_hosts: str, headers: Optional[str], params: Dict[str,
         headers=get_es_headers(headers, user, x_opaque_id),
     )
     if idx.find("*:") != -1:
-        idx = idx[idx.find("*:")+2:] #when you query for mappings if it is cross cluster you don't get a mapping
+        idx = idx[idx.find("*:")+2:] # when you query for mappings if it is cross cluster you don't get a mapping
     mappings = es.indices.get_field_mapping(fields=field, index=idx)
     # {'foot_prints': {'mappings': {'foot_print': {'full_name': 'foot_print', 'mapping': {'foot_print': {'type': 'geo_shape'}}}}}}
     index = list(mappings.keys())[0] # if index is my_index* it comes back as my_index

elastic_datashader/tilegen.py

@@ -1117,7 +1117,7 @@ def generate_tile(idx, x, y, z, headers, params, tile_width_px=256, tile_height_
         partial_data = False # TODO can we get partial data?
         span = None
         if field_type == "geo_point":
-            geo_tile_grid = A("geotile_grid", field=geopoint_field, precision=geotile_precision,size=max_bins)
+            geo_tile_grid = A("geotile_grid", field=geopoint_field, precision=geotile_precision, size=max_bins)
             estimated_points_per_tile = get_estimated_points_per_tile(span_range, global_bounds, z, global_doc_cnt)
             if params['bucket_min']>0 or params['bucket_max']<1:
                 if estimated_points_per_tile is None: