This repository contains notebooks and possibly other codes to read and plot the data collected during the MetPraktikum.
To set up a python environment that has everything you need to plot and process the data from the MetPraktikum run (works on Mac or any Linux machine) in a terminal window:
./install_python_jupyter.sh
Now activate environment with
source ${HOME}/miniconda3/bin/activate praktikum;
Start Jupyterlab
jupyter lab &
this should open a browser window with a jupyter lab window.
The file notebooks/praktikum_plotting_samples.ipynb
contains sample code to do quick-and-dirty plots from all the sensors.
The preprocessing of the data (i.e. convert the output files from the sensors/systems into easy to use .csv
files) has been done with notebooks/praktikum_preprocess.ipynb
.
Windows users follow the how-to at https://katiekodes.com/setup-python-windows-miniconda. Install the followin packages manually:
- python=3
- dask
- distributed
- ipython
- matplotlib=3.2
- numpy
- pandas
- seaborn
- xarray
- ipykernel
- jupyterlab
- nb_conda_kernels