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Refactor as package with subpackages
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
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csv_metadata_quality/__init__.py
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csv_metadata_quality/__init__.py
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csv_metadata_quality/__main__.py
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csv_metadata_quality/__main__.py
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from csv_metadata_quality import app
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if __name__ == '__main__':
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app.run()
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csv_metadata_quality/app.py
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csv_metadata_quality/app.py
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import csv_metadata_quality.fix as fix
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import pandas as pd
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def run():
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# Read all fields as strings so dates don't get converted from 1998 to 1998.0
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#df = pd.read_csv('/home/aorth/Downloads/2019-07-26-Bioversity-Migration.csv', dtype=str)
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#df = pd.read_csv('/tmp/quality.csv', dtype=str)
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df = pd.read_csv('/tmp/omg.csv', dtype=str)
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# Fix whitespace in all columns
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for column in df.columns.values.tolist():
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print(f'DEBUG: {column}')
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df[column] = df[column].apply(fix.whitespace)
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# Write
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df.to_csv('/tmp/omg.fixed.csv', index=False)
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#!/usr/bin/env python3
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import pandas as pd
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import pandas as pd
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import re
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def fix_whitespace(field):
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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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"""Fix whitespace issues.
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Return string with leading, trailing, and consecutive whitespace trimmed.
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Return string with leading, trailing, and consecutive whitespace trimmed.
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"""
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"""
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import re
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# Skip fields with missing values
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# Skip fields with missing values
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if pd.isna(field):
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if pd.isna(field):
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return new_field
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return new_field
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# Read all fields as strings so dates don't get converted from 1998 to 1998.0
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#df = pd.read_csv('/home/aorth/Downloads/2019-07-26-Bioversity-Migration.csv', dtype=str)
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#df = pd.read_csv('/tmp/quality.csv', dtype=str)
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df = pd.read_csv('/tmp/omg.csv', dtype=str)
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# Fix whitespace in all columns
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for column in df.columns.values.tolist():
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print(f'DEBUG: {column}')
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df[column] = df[column].apply(fix_whitespace)
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# Write
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df.to_csv('/tmp/omg.fixed.csv', index=False)
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