alanorth/csv-metadata-quality
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csv_metadata_quality/app.py: read fields as strings

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I suspect this undermines the PyArrow backend performance gains in
recent Pandas 2.0.0, but we are dealing with messy data sometimes
and we must rely on data being strings.
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Alan Orth 2023-06-12 10:38:05 +03:00
parent f3fb1ff7fb
commit d21d2621e3
1 changed files with 2 additions and 1 deletions
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csv_metadata_quality/app.py
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@ -73,7 +73,8 @@ def run(argv):
# set the signal handler for SIGINT (^C) # set the signal handler for SIGINT (^C)
signal.signal(signal.SIGINT, signal_handler) signal.signal(signal.SIGINT, signal_handler)
df = pd.read_csv(args.input_file, dtype_backend="pyarrow") # Read all fields as strings so dates don't get converted from 1998 to 1998.0
df = pd.read_csv(args.input_file, dtype_backend="pyarrow", dtype="str")
# Check if the user requested to skip any fields # Check if the user requested to skip any fields
if args.exclude_fields: if args.exclude_fields: