... | ... | @@ -26,4 +26,8 @@ Then I used this times to specify the dust events and added it to the pandas dat |
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The final dataframe including the duste vents is stored at:
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'/data/project/general/aerosolretriev/Jungfraujoch_data/data/aerosol_data.h5'
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4.) In the Jupyter Notebook "Plot_data.ipynb" you find some basic plots. This notebook can be arbitrarily extended. |
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4.) In the Jupyter Notebook "Plot_data.ipynb" you find some basic plots. This notebook can be arbitrarily extended.
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5.) In the Jupyter Notebooks "Function_collection_summary_univariate" "Function_collection_summary_multivariate" the two python scripts evaluation.py (includes reading the data and all metrics to see performance of the methods) and unsupervised_methods.py (all unsupervised methods are implemented there) are used. In the notebooks the different methods are tested and used for different datasets (different combinations of features) and the results are plotted.
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6.) In the Jupyter Notebook "Martines_method.py" the latest data from Martine from Meteoswiss are read and the performance in terms of my measures is tested |