rcsa/python3-hdf5 repository overview

⁠Dockerfile for image rcsa/python3-hdf5

⁠Update: I recommend using feather⁠ for persisting Pandas DataFrames instead of HDF5.

⁠Ingredients:

• Python 3.5 (linked to update with official image)
• HDF5 (quite cumbersome to install from source)
• PyTables (requires HDF5 installed)
• NumPy (compiling takes some time)
• Pandas (requires pytables for hdf5-files and compiling takes some time)

All taken care of...

⁠Build on top of this image with a Dockerfile like this:

FROM rcsa/python3-hfd5:latest
ENV PYTHONUNBUFFERED 1
RUN mkdir /code
WORKDIR /code
ADD requirements.txt /code/
RUN pip install -r requirements.txt
ADD . /code/
EXPOSE 5000
CMD ["python", "app.py"]

⁠and app.py like this (see here⁠):

import pandas as pd
#persist dataframe
with pd.HDFStore('file.h5') as store:
    store['key'] = pd.DataFrame()
#load dataframe
with pd.HDFStore('file.h5') as store:
    df = store['key']