csv-metadata-quality/csv_metadata_quality/fix.py

68 lines
1.7 KiB
Python
Executable File

import pandas as pd
import re
def whitespace(field):
"""Fix whitespace issues.
Return string with leading, trailing, and consecutive whitespace trimmed.
"""
# Skip fields with missing values
if pd.isna(field):
return
# Initialize an empty list to hold the cleaned values
values = list()
# Try to split multi-value field on "||" separator
for value in field.split('||'):
# Strip leading and trailing whitespace
value = value.strip()
# Replace excessive whitespace (>2) with one space
pattern = re.compile(r'\s{2,}')
match = re.findall(pattern, value)
if len(match) > 0:
print(f'Excessive whitespace: {value}')
value = re.sub(pattern, ' ', value)
# Save cleaned value
values.append(value)
# Create a new field consisting of all values joined with "||"
new_field = '||'.join(values)
return new_field
def separators(field):
"""Fix for invalid multi-value separators (ie "|")."""
# Skip fields with missing values
if pd.isna(field):
return
# Initialize an empty list to hold the cleaned values
values = list()
# Try to split multi-value field on "||" separator
for value in field.split('||'):
# After splitting, see if there are any remaining "|" characters
pattern = re.compile(r'\|')
match = re.findall(pattern, value)
if len(match) > 0:
print(f'Fixing invalid multi-value separator: {value}')
value = re.sub(pattern, '||', value)
# Save cleaned value
values.append(value)
# Create a new field consisting of all values joined with "||"
new_field = '||'.join(values)
return new_field