diff --git a/nbs/tsdataset.ipynb b/nbs/tsdataset.ipynb
index 92afc3eb3..9781ef7a7 100644
--- a/nbs/tsdataset.ipynb
+++ b/nbs/tsdataset.ipynb
@@ -61,7 +61,7 @@
     "import torch\n",
     "import utilsforecast.processing as ufp\n",
     "from torch.utils.data import Dataset, DataLoader\n",
-    "from utilsforecast.compat import DataFrame, pl_Series"
+    "from utilsforecast.compat import DataFrame, pl_Series, pl_DataFrame"
    ]
   },
   {
@@ -354,7 +354,10 @@
     "\n",
     "        # Static features\n",
     "        if static_df is not None:\n",
-    "            static_cols = static_df.columns.drop(id_col)\n",
+    "            if isinstance(static_df, pd.DataFrame):\n",
+    "                static_cols = static_df.columns.drop(id_col)\n",
+    "            elif isinstance(static_df, pl_DataFrame):\n",
+    "                static_cols = static_df.columns.remove(id_col)\n",
     "            static = ufp.to_numpy(static_df[static_cols])\n",
     "        else:\n",
     "            static = None\n",
diff --git a/neuralforecast/tsdataset.py b/neuralforecast/tsdataset.py
index e251bba47..597bbfc28 100644
--- a/neuralforecast/tsdataset.py
+++ b/neuralforecast/tsdataset.py
@@ -13,7 +13,7 @@
 import torch
 import utilsforecast.processing as ufp
 from torch.utils.data import Dataset, DataLoader
-from utilsforecast.compat import DataFrame, pl_Series
+from utilsforecast.compat import DataFrame, pl_Series, pl_DataFrame
 
 # %% ../nbs/tsdataset.ipynb 5
 class TimeSeriesLoader(DataLoader):
@@ -317,7 +317,10 @@ def from_df(
 
         # Static features
         if static_df is not None:
-            static_cols = static_df.columns.drop(id_col)
+            if isinstance(static_df, pd.DataFrame):
+                static_cols = static_df.columns.drop(id_col)
+            elif isinstance(static_df, pl_DataFrame):
+                static_cols = static_df.columns.remove(id_col)
             static = ufp.to_numpy(static_df[static_cols])
         else:
             static = None