Docker build for numpy , pandas giving error - docker

Question

I have a Dockerfile in a directory called docker_test. The structure of docker_test is as follows:
M00618927A:docker_test i854319$ ls
Dockerfile hello_world.py
My dockerfile looks like below:
### Dockerfile
# Created by Baktaawar
# Pulling from base Python image
FROM python:3.6.7-alpine3.6
# author of file
LABEL maintainer="Baktawar"
# Set the working directory of the docker image
WORKDIR /docker_test
COPY . /docker_test
# packages that we need
RUN pip --no-cache-dir install numpy pandas jupyter
EXPOSE 8888
ENTRYPOINT ["python"]
CMD ["hello_world.py"]
I run the command
docker build -t dockerfile .
It starts the building process but then gives the following error in not being able to get the numpy etc installed in the image
Sending build context to Docker daemon 4.096kB
Step 1/8 : FROM python:3.6.7-alpine3.6
---> 8f30079779ef
Step 2/8 : LABEL maintainer="Baktawar"
---> Running in 7cf081021b1e
Removing intermediate container 7cf081021b1e
---> 581cf24fa4e6
Step 3/8 : WORKDIR /docker_test
---> Running in 7c58855c4332
Removing intermediate container 7c58855c4332
---> dae70a34626b
Step 4/8 : COPY . /docker_test
---> 432b174b4869
Step 5/8 : RUN pip --no-cache-dir install numpy pandas jupyter
---> Running in 972efa9336ed
Collecting numpy
Downloading https://files.pythonhosted.org/packages/cf/8d/6345b4f32b37945fedc1e027e83970005fc9c699068d2f566b82826515f2/numpy-1.16.2.zip (5.1MB)
Collecting pandas
Downloading https://files.pythonhosted.org/packages/81/fd/b1f17f7dc914047cd1df9d6813b944ee446973baafe8106e4458bfb68884/pandas-0.24.1.tar.gz (11.8MB)
Complete output from command python setup.py egg_info:
Traceback (most recent call last):
File "/usr/local/lib/python3.6/site-packages/pkg_resources/__init__.py", line 357, in get_provider
module = sys.modules[moduleOrReq]
KeyError: 'numpy'
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "<string>", line 1, in <module>
File "/tmp/pip-install-8c3o0ycd/pandas/setup.py", line 732, in <module>
ext_modules=maybe_cythonize(extensions, compiler_directives=directives),
File "/tmp/pip-install-8c3o0ycd/pandas/setup.py", line 475, in maybe_cythonize
numpy_incl = pkg_resources.resource_filename('numpy', 'core/include')
File "/usr/local/lib/python3.6/site-packages/pkg_resources/__init__.py", line 1142, in resource_filename
return get_provider(package_or_requirement).get_resource_filename(
File "/usr/local/lib/python3.6/site-packages/pkg_resources/__init__.py", line 359, in get_provider
__import__(moduleOrReq)
ModuleNotFoundError: No module named 'numpy'
----------------------------------------
Command "python setup.py egg_info" failed with error code 1 in /tmp/pip-install-8c3o0ycd/pandas/
You are using pip version 18.1, however version 19.0.3 is available.
You should consider upgrading via the 'pip install --upgrade pip' command.
The command '/bin/sh -c pip --no-cache-dir install numpy pandas jupyter' returned a non-zero code: 1
How can I get this basic setup done?

Answer 1

You basically need to install the following on alpine, in order to be able to install numpy:
apk --no-cache add musl-dev linux-headers g++
Try the following Dockerfile:
### Dockerfile
# Created by Baktawar
# Pulling from base Python image
FROM python:3.6.7-alpine3.6
# author of file
LABEL maintainer="Baktawar"
# Set the working directory of the docker image
WORKDIR /app
COPY . /app
# Install native libraries, required for numpy
RUN apk --no-cache add musl-dev linux-headers g++
# Upgrade pip
RUN pip install --upgrade pip
# packages that we need
RUN pip install numpy && \
pip install pandas && \
pip install jupyter
EXPOSE 8888
ENTRYPOINT ["python"]
CMD ["hello_world.py"]
You may find this gist interresting:
https://gist.github.com/orenitamar/f29fb15db3b0d13178c1c4dd611adce2
And this package on alpine, is also of interrest I think:
https://pkgs.alpinelinux.org/package/edge/community/x86/py-numpy
Update
In order to tag the image properly, use the syntax:
docker build -f <dockerfile> -t <tagname:tagversion> <buildcontext>
For you, this would be:
docker build -t mypythonimage:0.1 .