How to install a python package with all the dependencies into a Docker image?

Question

I'm working in Ubuntu 15.10 with the Docker container for Pyspark jupyter/pyspark-notebook. I need to install folium with all it's dependencies and run a Pyspark script into the container. I successfully installed Docker, pulled the image and run it with the command

docker run -d -p 8888:8888 -p 4040:4040 -v /home/$MYUSER/$MYPROJECT:/home/jovyan/work jupyter/pyspark-notebook

Then, I execute the code example without any issues

import pyspark
sc = pyspark.SparkContext('local[*]')

# do something to prove it works
rdd = sc.parallelize(range(1000))
rdd.takeSample(False, 5)

I looked for the conda environment in /opt/conda (as it says in the documentation) but there is no conda in my /opt folder. Then, I installed miniconda3 and folium with all the dependencies as a normal Python package (no Docker involved).

It doesn't work. When I run the image and try to import the package with import folium it doesn't find the folium package:

ImportErrorTraceback (most recent call last)
<ipython-input-1-af6e4f19ef00> in <module>()
----> 1 import folium

ImportError: No module named 'folium'

So the problem can be reduced to two questions:

1. Where is the container's conda?
2. How can I install the Python package I need into the container?

Answer 1

To answer the first question Where is the conda environment? we just need to execute in console $ docker my_containers_name ls /opt/conda.

Second question has two options:

• We can open the containers console by executing the command

  $ docker exec -it my_containers_name /bin/bash

  and install the package like a normal conda package

  conda install --channel https://conda.anaconda.org/conda-forge folium

• We can modify the Dockerfile of the Docker image or create a new one extending the previous one. To create a new Dockerfile and add the lines

  FROM jupyter/minimal-notebook
  USER jovyan
  RUN conda install --quiet --yes --channel https://conda.anaconda.org/conda-forge folium && conda clean -tipsy
  

  And build our new image. If we want to modify the original Dockerfile we must skip the first line.

I create my own Dockerfile by forking the original project.

Thanks warmoverflow and ShanShan for your comments