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Last pushed: 8 hours ago
Short Description
Python 3.5 with HDF5, PyTables, Pandas and NumPy installed
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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']
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rcsa
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