Conda environment file providing modules to analyse PIConGPU simulation data in Jupyter notebooks.

picongpu-analysis-environment.yml

## Installing the environment
# * Download and install anaconda or miniconda
# * Activate the base environment
#   `conda activate` (which maybe preceeded by `source ~/.bashrc`)
# * Install
#   `conda env create --file picongpu-analysis-environment.yml`
#
# Alternatively, mamba could be used instead of conda which is supposed
# to be faster.
# In the base environment
#  `conda install -c conda-forge mamba`
#  `mamba env create --file picongpu-analysis-environment.yml`
#
#
# 2022 Klaus Steiniger / CC0

name: picongpu-analysis

channels:
  - defaults
  - conda-forge

dependencies:
  - scipy
  - ipython
  - jupyterlab
  - jupyter_contrib_nbextensions
  - matplotlib
  - pandas
  - imageio
  - blosc >=1.21.1
  - adios2 >=2.8.3
  - h5py
  - openpmd-api >=0.14.5