mirror of
https://github.com/ilri/csv-metadata-quality.git
synced 2024-12-23 04:32:21 +01:00
Alan Orth
232d28e13e
This makes it cleaner for introducing checks, fixes, tests, docs, and tests in the future. Currently can be run like this: python -m csv_metadata_quality CSV input and output paths are still hard coded. See: https://dev.to/codemouse92/dead-simple-python-project-structure-and-imports-38c6
43 lines
982 B
Python
Executable File
43 lines
982 B
Python
Executable File
import pandas as pd
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import re
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def alan():
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print('Alan')
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def whitespace(field):
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"""Fix whitespace issues.
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Return string with leading, trailing, and consecutive whitespace trimmed.
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"""
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# Skip fields with missing values
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if pd.isna(field):
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return
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# Initialize an empty list to hold the cleaned values
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values = list()
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# Try to split multi-value field on "||" separator
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for value in field.split('||'):
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# Strip leading and trailing whitespace
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value = value.strip()
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# Replace excessive whitespace (>2) with one space
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pattern = re.compile(r'\s{2,}')
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match = re.findall(pattern, value)
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if len(match) > 0:
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print('DEBUG: Excessive whitespace')
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value = re.sub(pattern, ' ', value)
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# Save cleaned value
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values.append(value)
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# Create a new field consisting of all values joined with "||"
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new_field = '||'.join(values)
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return new_field
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