[ENH] Update pandas version (#913)

* update pandas

* 2.3.0

* pandas deprecation bits

* updates

* ffill

* map

* attempt to fix tests

* reset

* ME

* wierd edge case

---------

Co-authored-by: Tony Bagnall <[email protected]>

aeon/utils/tests/test_datetime.py

@@ -15,6 +15,7 @@
     infer_freq,
     set_hier_freq,
 )
+from aeon.utils.validation._dependencies import _check_soft_dependencies
 
 
 def test_get_freq():
@@ -77,15 +78,15 @@ def test_infer_freq() -> None:
 
     index = pd.date_range(start="2021-01-01", periods=1, freq="M")
     y = pd.Series(index=index, dtype=int)
-    assert infer_freq(y) == "M"
+    assert infer_freq(y) == "ME"
 
     y = pd.DataFrame({"a": 1}, index=pd.date_range(start="2021-01-01", periods=1))
     assert infer_freq(y) == "D"
 
     y = pd.DataFrame(
         {"a": 1}, index=pd.date_range(start="2021-01-01", periods=1, freq="M")
     )
-    assert infer_freq(y) == "M"
+    assert infer_freq(y) == "ME"
 
 
 def test_set_freq_hier():
@@ -99,6 +100,9 @@ def test_set_freq_hier():
 
     assert get_time_index(y).freq is not None
 
+    if _check_soft_dependencies("pandas>=2.1.0", severity="none"):
+        y.index.freq = None
+
     # Create MultiIndex
     mi = pd.MultiIndex.from_product([[0], y.index], names=["instances", "timepoints"])
     y_group1 = pd.DataFrame(y.values, index=mi, columns=["y"])

pyproject.toml

@@ -49,7 +49,7 @@ dependencies = [
     "numba>=0.55,<0.61.0",
     "numpy>=1.21.0,<1.27.0",
     "packaging>=20.0",
-    "pandas>=1.5.3,<2.1.0",
+    "pandas>=2.0.0,<2.3.0",
     "scikit-learn>=1.0.0,<1.6.0",
     "scipy>=1.9.0,<1.14.0",
     "typing-extensions>=4.6.0",