diff --git a/src/lsdb/loaders/dataframe/from_dataframe_utils.py b/src/lsdb/loaders/dataframe/from_dataframe_utils.py
index a68cedad..b079e24f 100644
--- a/src/lsdb/loaders/dataframe/from_dataframe_utils.py
+++ b/src/lsdb/loaders/dataframe/from_dataframe_utils.py
@@ -40,16 +40,17 @@ def _append_partition_information_to_dataframe(dataframe: pd.DataFrame, pixel: H
     Returns:
         The dataframe for a HEALPix, with data points and respective partition information.
     """
-    dataframe["Norder"] = pixel.order
-    dataframe["Dir"] = pixel.dir
-    dataframe["Npix"] = pixel.pixel
-    dataframe = dataframe.astype(
-        {
-            PartitionInfo.METADATA_ORDER_COLUMN_NAME: np.uint8,
-            PartitionInfo.METADATA_DIR_COLUMN_NAME: np.uint64,
-            PartitionInfo.METADATA_PIXEL_COLUMN_NAME: np.uint64,
-        }
-    )
+    columns_to_assign = {
+        PartitionInfo.METADATA_ORDER_COLUMN_NAME: pixel.order,
+        PartitionInfo.METADATA_DIR_COLUMN_NAME: pixel.dir,
+        PartitionInfo.METADATA_PIXEL_COLUMN_NAME: pixel.pixel,
+    }
+    column_types = {
+        PartitionInfo.METADATA_ORDER_COLUMN_NAME: np.uint8,
+        PartitionInfo.METADATA_DIR_COLUMN_NAME: np.uint64,
+        PartitionInfo.METADATA_PIXEL_COLUMN_NAME: np.uint64,
+    }
+    dataframe = dataframe.assign(**columns_to_assign).astype(column_types)
     return _order_partition_dataframe_columns(dataframe)
 
 
@@ -95,7 +96,14 @@ def _order_partition_dataframe_columns(dataframe: pd.DataFrame) -> pd.DataFrame:
     Returns:
         The partition dataframe with the columns in the correct order.
     """
-    order_of_columns = ["margin_Norder", "margin_Dir", "margin_Npix", "Norder", "Dir", "Npix"]
+    order_of_columns = [
+        f"margin_{PartitionInfo.METADATA_ORDER_COLUMN_NAME}",
+        f"margin_{PartitionInfo.METADATA_DIR_COLUMN_NAME}",
+        f"margin_{PartitionInfo.METADATA_PIXEL_COLUMN_NAME}",
+        PartitionInfo.METADATA_ORDER_COLUMN_NAME,
+        PartitionInfo.METADATA_DIR_COLUMN_NAME,
+        PartitionInfo.METADATA_PIXEL_COLUMN_NAME,
+    ]
     unordered_columns = [col for col in dataframe.columns if col not in order_of_columns]
     ordered_columns = [col for col in order_of_columns if col in dataframe.columns]
     return dataframe[unordered_columns + ordered_columns]
diff --git a/tests/lsdb/loaders/dataframe/test_from_dataframe.py b/tests/lsdb/loaders/dataframe/test_from_dataframe.py
index 951ad841..87cb4783 100644
--- a/tests/lsdb/loaders/dataframe/test_from_dataframe.py
+++ b/tests/lsdb/loaders/dataframe/test_from_dataframe.py
@@ -63,7 +63,7 @@ def test_from_dataframe_catalog_of_invalid_type(small_sky_order1_df, small_sky_o
 
 
 def test_from_dataframe_when_threshold_and_partition_size_specified(
-        small_sky_order1_df, small_sky_order1_catalog
+    small_sky_order1_df, small_sky_order1_catalog
 ):
     """Tests that specifying simultaneously threshold and partition_size is invalid"""
     kwargs = get_catalog_kwargs(small_sky_order1_catalog, partition_size=10, threshold=10_000)
@@ -79,7 +79,7 @@ def test_partitions_on_map_equal_partitions_in_df(small_sky_order1_df, small_sky
         partition_df = catalog._ddf.partitions[partition_index].compute()
         assert isinstance(partition_df, pd.DataFrame)
         for _, row in partition_df.iterrows():
-            ipix = hp.ang2pix(2 ** hp_pixel.order, row["ra"], row["dec"], nest=True, lonlat=True)
+            ipix = hp.ang2pix(2**hp_pixel.order, row["ra"], row["dec"], nest=True, lonlat=True)
             assert ipix == hp_pixel.pixel
 
 
@@ -138,7 +138,7 @@ def test_partitions_obey_threshold(small_sky_order1_df, small_sky_order1_catalog
 
 
 def test_partitions_obey_default_threshold_when_no_arguments_specified(
-        small_sky_order1_df, small_sky_order1_catalog
+    small_sky_order1_df, small_sky_order1_catalog
 ):
     """Tests that partitions are limited by the default threshold
     when no partition size or threshold is specified"""