All figures can be reproduced using the following three scripts:

• estate_vintage_clf.py: Decoding estate and vintage from wine chromatograms
• parker_clf.py: Decoding Parker's rating from wine chromatograms
• embed.py: Embedding wine chromatograms in 2d (3d) space using umap and tSNE

Each script contains functions to process raw data that is found in Source_Data/data resulting in files for plotting, stored in Source_Data/res, precomputed for your convenience. Running all analyses from the raw data takes about 3 h on a laptop in total. All figures are precomputed in Source_Data/figs.

The Source_Data/data contains the following:

• oak.npy, 80 wines x 30275 GC features, each wine e.g. with name A_2012, i.e. estate A, vintage 2012
• esters.npy, 80x7881
• offFla.npy, 80x10480
• concat.npy, 80x48636

• m_oak.npy, 80x13
• m_esters.npy, 80x16
• m_offFla.npy, 80x3
• m_concat.npy, 80x32

• 32_compound_names.npy, chemical names for 32 compounds
• parker_ratings.npy, 80x1, Parker ratings (int between 0 and 100)
• varietals.npy, 80x4, percentage of 4 grape types per wine
• bordeaux_map.png, map of Bordeaux area

In your python environment (for example installed via anaconda, latest version) install required libraries:

pip install --requirement requirements.txt

• Figure 1 plot_tile_main() in embed.py
• Figure 2, 5(c,d) plot_violin() in estate_vintage_clf.py
• Figure 3, S9 plot_chunks2() and plot_all_survival() in estate_vintage_clf.py
• Figure 4, Table S1, Figure 5e,f plot_violin_p() in parker_clf.py
• Figure 5a,b plot_tile_chem32() in embed.py
• Figure S2 plot_tile_supp() in embed.py
• Figure S3 plot_best_concat() in estate_vintage_clf.py
• Figure S4 plot_vintage_decoding_per_wine() in estate_vintage_clf.py
• Figure S5 PCA_features() in estate_vintage_clf.py
• Figure S6 plot_weights() in estate_vintage_clf.py
• Figure S7, S8, S11 plot_all_survival() in estate_vintage_clf.py
• Figure S12 plot_weights_m_abs() in estate_vintage_clf.py
• Figure S10 plot_chunk2() in parker_clf.py
• Figure S13 plot_chunks_m_dists() in estate_vintage_clf.py
• Table S2 varietals_table() in embed.py

To clone this repository into your home directory, type in a terminal:

git clone https://github.com/mschart/wine_decoding.git

To reproduce figure 1, navigate into directory wine_decoding, start an ipython session and type:

# read in script (pip install missing libraries if needed) for figure 1
run '/home/mic/wine_decoding/embed.py'

# activate interactive plotting
plt.ion()

# plot figure 1 by running listed function (loading in raw data directly)
plot_tile_main()

Some figures need manual assembly (figure 5, 3, S2).