name: nilmtk-env
dependencies:
- python=3.6.4
- Cython>=0.27.3
- bottleneck>=1.2.1
- numpy>=1.13.3
- numexpr>=2.6.4
- pytables
- pandas==0.22.0
- matplotlib>=2.2.0
- networkx==2.1
- scipy>=1.0.0
- scikit-learn>=0.19.1
- jupyter
- ipython
- six
- future
- nose
- coverage
- pip
- pip:  # Install packages which are not in conda. Install these using pip:
    - coveralls
    - https://github.com/hmmlearn/hmmlearn/archive/ae1a41e4d03ea61b7a25cba68698e8e2e52880ad.zip#egg=hmmlearn
    - psycopg2 # not available in conda for Windows.  See issue #462
    - https://github.com/nilmtk/nilm_metadata/archive/master.zip#egg=nilm_metadata
    - https://github.com/nilmtk/nilmtk/archive/master.zip#egg=nilmtk
    - ipykernel # Needed to get jupyter notebook working with different kernel

name: nilmtk-env
dependencies:
- python=3.6
- Cython>=0.27.3
- bottleneck>=1.2.1
- numpy>=1.13.3
- numexpr>=2.6.4
- pytables
- pandas==0.22.0
- matplotlib>=2.2.0
- networkx==2.1
- scipy>=1.0.0
- scikit-learn>=0.19.1
- jupyter
- ipython
- ipykernel
- six
- future
- nose
- coverage
- pip
- psycopg2
- pip:  # Install packages which are not in conda. Install these using pip:
    - coveralls
    - https://github.com/hmmlearn/hmmlearn/archive/ae1a41e4d03ea61b7a25cba68698e8e2e52880ad.zip#egg=hmmlearn
    - https://github.com/nilmtk/nilm_metadata/archive/master.zip#egg=nilm_metadata
    - https://github.com/nilmtk/nilmtk/archive/master.zip#egg=nilmtk

Use psycopg2 (and ipykernel) from conda instead of pip.
Use psycopg2 (and ipykernel) from conda instead of pip.
