diff --git a/etils/enp/numpy_utils.py b/etils/enp/numpy_utils.py
index 1041d3ea..ffd69334 100644
--- a/etils/enp/numpy_utils.py
+++ b/etils/enp/numpy_utils.py
@@ -26,6 +26,7 @@
 
 from etils import epy
 import numpy as np
+import pandas as pd
 
 if typing.TYPE_CHECKING:
   from etils.enp.typing import Array
@@ -42,7 +43,7 @@
 
 # When `strict=False` (in `get_xnp`, `is_array`,...), those types are also
 # accepted:
-_ARRAY_LIKE_TYPES = (int, bool, float, list, tuple)
+_ARRAY_LIKE_TYPES = (int, bool, float, list, tuple, pd.Series)
 
 # During the class construction, pytype fails because of name conflict between
 # the `np` `@property` and the module.
diff --git a/etils/enp/numpy_utils_test.py b/etils/enp/numpy_utils_test.py
index dab3aebb..a046c073 100644
--- a/etils/enp/numpy_utils_test.py
+++ b/etils/enp/numpy_utils_test.py
@@ -18,6 +18,7 @@
 import jax
 import jax.numpy as jnp
 import numpy as np
+import pandas as pd
 import pytest
 import tensorflow as tf
 import tensorflow.experimental.numpy as tnp
@@ -78,6 +79,7 @@ def test_lazy():
   assert lazy.get_xnp(np.array([123])) is np
   assert lazy.get_xnp(torch.Tensor([123])) is torch
   assert lazy.get_xnp([123], strict=False) is np
+  assert lazy.get_xnp(pd.Series([123]), strict=False)
 
   with pytest.raises(TypeError, match='Cannot infer the numpy'):
     lazy.get_xnp([123])