Pin pandas version (#4315)

* Pin pandas and add single 3.9 test to PR checks

.github/meta.yaml

@@ -25,7 +25,7 @@ outputs:
         - setuptools ==58.0.4
       run:
         - numpy >=1.21.0
-        - pandas >=1.5.0
+        - pandas >=1.5.0, <2.1.0
         - dask >=2022.2.0, !=2022.10.1
         - scipy >=1.5.0
         - scikit-learn >=1.3.0

.github/workflows/linux_unit_tests_with_latest_deps.yaml

@@ -15,6 +15,8 @@ jobs:
       fail-fast: false
       matrix:
         include:
+          - python_version: "3.9"
+            command: 'git-test-automl'
           - python_version: "3.8"
             command: 'git-test-automl'
           - python_version: "3.8"

core-requirements.txt

@@ -1,5 +1,5 @@
 numpy>=1.21.0
-pandas>=1.5.0
+pandas>=1.5.0, <2.1.0
 scipy>=1.5.0
 scikit-learn>=1.3.0
 scikit-optimize>=0.9.0

docs/source/release_notes.rst

@@ -11,6 +11,7 @@ Release Notes
     * Fixes
     * Changes
         * Updated ``split_data`` to call ``split_multiseries_data`` when passed stacked multiseries data :pr:`4312`
+        * Pinned pandas version under 2.1.0 :pr:`4315`
     * Documentation Changes
         * Removed LightGBM's excessive amount of warnings :pr:`4308`
     * Testing Changes

evalml/tests/dependency_update_check/latest_dependency_versions.txt

@@ -1,5 +1,5 @@
 black==23.9.1
-catboost==1.2.1.1
+catboost==1.2.2
 category-encoders==2.5.1.post0
 click==8.1.7
 cloudpickle==2.2.1

pyproject.toml

@@ -30,7 +30,7 @@ license = {file = "LICENSE"}
 requires-python = ">=3.8,<4"
 dependencies = [
     "numpy >= 1.21.0",
-    "pandas >= 1.5.0",
+    "pandas >= 1.5.0, < 2.1.0",
     "scipy >= 1.5.0",
     "scikit-learn >= 1.3.0",
     "scikit-optimize >= 0.9.0",