.. mdf_reader documentation master file, created by sphinx-quickstart on Fri Apr 16 14:18:24 2021. You can adapt this file completely to your liking, but it should at least contain the root `toctree` directive. Tool set up =========== The mdf_reader is a pure Python package, but it has a few dependencies that rely in a specific python and module version. The tool has been tested with Python version 3.7 on Linux and Mac OS systems. 1. Clone the repository ~~~~~~~~~~~~~~~~~~~~~~~~ Clone the latest version via:: $ git clone git@git.noc.ac.uk:brecinosrivas/mdf_reader.git .. _git: https://git-scm.com/book/en/v2/Getting-Started-Installing-Git 2. Install a python environment ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ For this you can use and install `pyenv <https://github.com/pyenv/pyenv>`_ and create a new virtual environment with a the python version needed (**3.7.3**) using `pyenv-virtualenv <https://github.com/pyenv/pyenv-virtualenv>`_. If you install pyenv and pyenv-virtualenv you can create an environment with a fix python version:: $ pyenv install 3.7.3 $ pyenv virtualenv 3.7.3 mdfreader_env $ pyenv activate mdfreader_env As another option you can use conda. See the `conda docs <https://conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html#creating-an-environment-with-commands>`_ for more information about how to create an environment from the command line. Or you can do what I usually do (much faster), install `mamba <https://github.com/mamba-org/mamba>`_. 3. Install dependencies ~~~~~~~~~~~~~~~~~~~~~~~ If you used **pyenv** for your environment, once activated you can install the dependencies using `pip <https://pip.pypa.io/en/stable/>`_:: $ pip install numpy==1.16.2 pandas==0.24.2 matplotlib==3.0.3 Check the conda or mamba documentation to install dependencies via those tools. .. warning:: **The pandas version is particularly important since needs to be compatible with the way of importing the json module used in the code.** 4. Optional step: install jupyter notebook ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Install `jupyter notebook <https://jupyter.org/install>`_ and `IPython <https://jupyter.readthedocs.io/en/latest/install.html>`_ for an easy overview of the tool and to make use of the tutorials under ``~/mdf_reader/docs/notebooks``:: $ pip install notebook $ pip install ipykernel Check the libraries documentation in the links above to install them via conda or mamba. Add a new kernel to load your notebooks with the right environment (``mdfreader_env``) run:: $ python -m ipykernel install --user --name=mdfreader_env $ jupyter notebook When you open the notebook, make sure you select the kernel or environment with the name ``mdfreader_env``. You can also test the notebook by adding and executing the following code in a jupyter-notebook cell:: from platform import python_version import sys print(python_version()) print(sys.executable) print(sys.version) print(sys.version_info) And you should see the following information for your ``mdfreader_env``:: /Users/username/.pyenv/versions/3.7.3/envs/mdfreader_env/bin/python 3.7.3 (default, Feb 4 2021, 14:32:54) [Clang 12.0.0 (clang-1200.0.32.28)] sys.version_info(major=3, minor=7, micro=3, releaselevel='final', serial=0)