Add py-xgboost to the environment (but no xgboost, old style installa…

…tion option)

.travis.yml

@@ -32,8 +32,8 @@ before_install:
   - conda config --set always_yes yes --set changeps1 no
   - conda update -q conda
   - conda info -a
-  # future: kapteyn should only be needed for astro package testing  
-  - conda create -q -n test-environment -c conda-forge python=$PYTHON_VERSION pip numpy scipy pyqt matplotlib pyopengl h5py numexpr astropy tornado cython runipy pandas pytest numba pyarrow graphviz python-graphviz pcre lightgbm xgboost catboost scikit-learn
+  # future: kapteyn should only be needed for astro package testing
+  - conda create -q -n test-environment -c conda-forge python=$PYTHON_VERSION pip numpy scipy pyqt matplotlib pyopengl h5py numexpr astropy tornado cython runipy pandas pytest numba pyarrow graphviz python-graphviz pcre lightgbm py-xgboost catboost scikit-learn
   - which pip
   - source activate test-environment
   - if [[ "$TRAVIS_OS_NAME" == "linux" ]]; then
@@ -64,7 +64,7 @@ install:
 script:
   - source activate test-environment
   - python -m vaex.test.dataset TestDataset
-  # - py.test packages/vaex-core/vaex/test/dataset.py::TestDataset 
+  # - py.test packages/vaex-core/vaex/test/dataset.py::TestDataset
   - py.test tests/
   # - runipy examples/tutorial_ipython_notebook.ipynb
   # - runipy examples/advanced_plotting.ipynb

appveyor.yml

@@ -20,7 +20,7 @@ install:
   - conda config --set always_yes yes --set changeps1 no
   - conda update -q conda
   - conda info -a
-  - "conda create -q -n test-environment -c conda-forge python=%PYTHON_VERSION% numpy scipy pyqt matplotlib pyopengl h5py numexpr astropy tornado cython pandas runipy cython pytest numba pyarrow graphviz python-graphviz pcre lightgbm xgboost catboost scikit-learn"
+  - "conda create -q -n test-environment -c conda-forge python=%PYTHON_VERSION% numpy scipy pyqt matplotlib pyopengl h5py numexpr astropy tornado cython pandas runipy cython pytest numba pyarrow graphviz python-graphviz pcre lightgbm py-xgboost catboost scikit-learn"
   - activate test-environment
   - pip install "numpy>=1.13" "pyarrow>=0.12"
   - pip install -r requirements.txt