Python 3.6, old scikit-image and numpy. Install from requirements.txt fails. #108
Description
FYI.
The current requirements.txt file will fail for Python 3.6 and pip when used on fresh Python environment.
+ pip install -r requirements.txt
--
| Collecting numpy==1.11.1 (from -r requirements.txt (line 1))
| Downloading numpy-1.11.1.zip (4.7MB)
| Collecting pandas==0.18.1 (from -r requirements.txt (line 2))
| Downloading pandas-0.18.1.tar.gz (7.3MB)
| Collecting scipy==0.17.1 (from -r requirements.txt (line 3))
| Downloading scipy-0.17.1.tar.gz (12.4MB)
| Collecting scikit-learn==0.17.1 (from -r requirements.txt (line 4))
| Downloading scikit-learn-0.17.1.tar.gz (7.9MB)
| Collecting scikit-image==0.12.3 (from -r requirements.txt (line 5))
| Downloading scikit-image-0.12.3.tar.gz (20.7MB)
| Complete output from command python setup.py egg_info:
| To install scikit-image from source, you will need numpy.
| Install numpy with pip:
| pip install numpy
| Or use your operating system package manager. For more
| details, see http://scikit-image.org/docs/stable/install.html
This is because the older version of scikit-image has a check to see if numpy is already installed, but it doesn't avoid the check when running setup.py with egg_info command.
Under Python 3.6, pip is triggering egg_info where as under Python 3.5 it appears it wasn't.
Newer scikit-image checks for egg_info and skips the check and so likely doesn't have the problem.
In summary, while continue to use older scikit-image package, there is a risk the requirements.txt file will not work with Python 3.6 and pip.
You might want to consider seeing whether code samples work with newer scikit-image package and update to newer version of that package to avoid issue. Obviously everything else also needs to be check for Python 3.6 in general as well.