Update requirements to require scikit-learn and purge old requirements

.github/workflows/codecov-CI.yml

@@ -7,27 +7,27 @@ jobs:
     runs-on: ubuntu-latest
     env:
       OS: ubuntu-latest
-      PYTHON: '3.9'
+      PYTHON: "3.9"
     steps:
-    - uses: actions/checkout@v2
-    # Similar to MetPy install-conda action
-    - name: Set up conda
-      uses: conda-incubator/setup-miniconda@v2
-      with:
-        miniforge-version: latest
-        miniforge-variant: mambaforge
-        channel-priority: strict
-        channels: conda-forge
-        show-channel-urls: true
-        use-only-tar-bz2: true
-    
-    - name: Install dependencies and generate report
-      shell: bash -l {0}
-      run: mamba install --quiet --yes --file conda-requirements.txt coverage pytest-cov &&
-           python -m coverage run -m pytest --cov=./ --cov-report=xml
-    - name: Upload Coverage to Codecov
-      uses: codecov/codecov-action@v3
-      with: 
-        fail_ci_if_error: true
-        flags: unittests
-
+      - uses: actions/checkout@v2
+      # Similar to MetPy install-conda action
+      - name: Set up conda
+        uses: conda-incubator/setup-miniconda@v2
+        with:
+          miniforge-version: latest
+          miniforge-variant: mambaforge
+          channel-priority: strict
+          channels: conda-forge
+          show-channel-urls: true
+          use-only-tar-bz2: true
+
+      - name: Install dependencies and generate report
+        shell: bash -l {0}
+        run:
+          mamba install --quiet --yes --file requirements.txt coverage pytest-cov &&
+          python -m coverage run -m pytest --cov=./ --cov-report=xml
+      - name: Upload Coverage to Codecov
+        uses: codecov/codecov-action@v3
+        with:
+          fail_ci_if_error: true
+          flags: unittests

README.md

@@ -36,7 +36,7 @@ You can also install conda via git, either for development purposes or to use sp
 
 If you are using anaconda, the following command from within the cloned repository should make sure all dependencies are met and up to date:
 ```
-conda install -c conda-forge --yes --file conda-requirements.txt
+conda install -c conda-forge --yes --file requirements.txt
 ```
 You can directly install the package directly from github with pip and either of the two following commands:
 ```

conda-requirements.txt → requirements.txt

@@ -2,11 +2,10 @@
 numpy
 scipy
 scikit-image
+scikit-learn
 pandas
-pytables
 matplotlib
 iris
-cf-units
 xarray
 cartopy
 trackpy

setup.py

@@ -73,6 +73,18 @@ def get_version(pkg_name):
     ],
     license="BSD-3-Clause License",
     packages=[PACKAGE_NAME, PACKAGE_NAME + ".utils"],
-    install_requires=[],
+    install_requires=[
+        "numpy",
+        "scipy",
+        "scikit-image",
+        "scikit-learn",
+        "pandas",
+        "matplotlib",
+        "xarray",
+        "trackpy",
+    ],
+    test_requires=[
+        "pytest",
+    ],
     zip_safe=False,
 )