Drop Python 3.9 support

- Update `python >=3.10` constraint in conda-env yml files

Author: tomvothecoder

conda-env/ci.yml

@@ -6,7 +6,7 @@ channels:
 dependencies:
     # Base - required for building the package.
     # =========================================
-    - python >=3.9
+    - python >=3.10
     - cf_xarray >=0.9.1
     - cftime
     - dask

conda-env/dev.yml

@@ -6,7 +6,7 @@ channels:
 dependencies:
     # Base - required for building the package.
     # =========================================
-    - python >=3.9
+    - python >=3.10
     - cf_xarray >=0.9.1
     - cftime
     - dask

docs/examples/climatology-and-departures.ipynb

@@ -17,6 +17,13 @@
     "- [xarray.Dataset.temporal.departures()](../generated/xarray.Dataset.temporal.departures.rst)\n"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
   {
    "cell_type": "markdown",
    "metadata": {},

docs/getting-started-guide/installation.rst

@@ -66,7 +66,7 @@ Instructions
 
    We recommend using the Conda environment creation procedure to install ``xcdat``.
    The advantage with following this approach is that Conda will attempt to resolve
-   dependencies (e.g. ``python >= 3.9``) for compatibility.
+   dependencies for compatibility.
 
    To create an ``xcdat`` Conda environment, run:
 

pyproject.toml

@@ -7,7 +7,7 @@ name = "xcdat"
 dynamic = ["version"]
 description = "Xarray Climate Data Analysis Tools"
 readme = "README.rst"
-requires-python = ">=3.9"
+requires-python = ">=3.10"
 license = { text = "Apache-2.0" }
 authors = [{ name = "xCDAT developers" }]
 classifiers = [
@@ -16,7 +16,6 @@ classifiers = [
   "License :: OSI Approved :: Apache-2.0 License",
   "Natural Language :: English",
   "Programming Language :: Python :: 3",
-  "Programming Language :: Python :: 3.9",
   "Programming Language :: Python :: 3.10",
   "Programming Language :: Python :: 3.11",
   "Programming Language :: Python :: 3.12",