View source for Photoz bcnz

==== Version parquet v29 =====

I use a notebook to read and clean the data since there are wrong or weird values in the file: e.g. NaN values, odds > 1.e60, etc..

The notebook is called:

    PAUdm photoz parquet files.ipynb

It is necessary to make a clip for the fields odds, pz_width, zb_mean and chi2, e.g.

    ## Clipping large and small values
    df_new['odds'].clip(lower=1.e-37, upper=1.e37, inplace=True)

And even with that, afterwards it is necessary to remove NaN values in some entries.
I also put 1.e37 as value:

    df_new.fillna(value=1.e37, inplace=True)

I saved the file in csv format in order to ingest it into paudb:

    outfile = '/cephfs/pic.es/astro/scratch/jcarrete/sandbox/parquet_bcnz_v29_some_fields.csv'


And then I insert it into paudb:

tail -n+2 parquet_bcnz_v29_some_fields.csv | pv -l | psql -U postgres -W -h db.pau.pic.es dm -c "COPY photoz_bcnz (production_id, ref_id, zb, odds, pz_width, zb_mean, chi2, n_band, ebv, qz, best_run) FROM STDIN DELIMITER ',' CSV"

And also into CosmoHub:

    INSERT OVERWRITE TABLE cosmohub.paudm_photoz_bcnz_updated_v1_1 PARTITION (production_id=952) SELECT ref_id, zb, odds, pz_width, zb_mean, chi2, n_band, ebv, qz, best_run FROM jcarrete.paudm_photoz_bcnz_updated_v1_1_csv WHERE ref_id IS NOT NULL AND production_id = 952;