Created
June 30, 2021 19:53
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Convert ZTF Parquet lightcurve files to zort format
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#!/usr/bin/env python3 | |
import os | |
import pyarrow.parquet as pq | |
import pandas as pd | |
import numpy as np | |
def parquet_to_asciilc(inpath, outdir): | |
""" | |
Convert ZTF lightcurve Parquet dataset for one field to the pre-DR5 ascii format | |
Parameters: | |
----------- | |
inpath: string | |
path to field-level directory of Parquet files | |
example: './data/ZTF/lc_dr5/0/field0350/' | |
outdir: string | |
path to directory for output of ascii text file for zort | |
""" | |
ds = pq.ParquetDataset(inpath, use_legacy_dataset=False) | |
df = ds.read().to_pandas() | |
df.sort_values(['filterid', 'rcid', 'objdec'], | |
ascending=[False, True, True], | |
inplace=True) | |
fields = df.fieldid.unique() | |
assert len(fields) == 1 | |
field = fields[0] | |
ramin = df.objra.min() | |
ramax = df.objra.max() | |
decmin = df.objdec.min() | |
decmax = df.objdec.max() | |
outname = os.path.join(outdir, | |
'field{:06d}_ra{:.5f}to{:.5f}_dec{:.5f}to{:.5f}.txt'.format( | |
field, ramin, ramax, decmin, decmax)) | |
with open(outname, 'w') as fh: | |
for row in df.itertuples(): | |
fh.write("# %17d %3d %1d %4d %2d %9.5f %9.5f\n" % | |
(row.objectid, row.nepochs, row.filterid, row.fieldid, | |
row.rcid, row.objra, row.objdec)) | |
idx = np.argsort(row.hmjd) | |
for i in idx: | |
fh.write(" %13.5f %6.3f %5.3f %6.3f %5d\n" % | |
(row.hmjd[i], row.mag[i], row.magerr[i], | |
row.clrcoeff[i], row.catflags[i])) | |
return | |
if __name__ == '__main__': | |
import argparse | |
parser = argparse.ArgumentParser(description=""" | |
Convert ZTF Parquet-format lightcurves to Zort ascii tarball | |
""") | |
parser.add_argument('inpath', | |
help='path to field-level directory of Parquet files') | |
parser.add_argument('outdir', | |
help='directory for output file') | |
args = parser.parse_args() | |
inpath = args.inpath | |
outdir = args.outdir | |
parquet_to_asciilc(inpath, outdir) |
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