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2f708d224d
The hero mascot was hidden on phones (display:none breakpoint) and, once shown, ballooned because the theme's .md-typeset img max-width:100% beat the mascot rule. Scope the mobile mascot size with higher specificity (max-width:180px, centered) so Inky renders cleanly on mobile. Desktop unchanged. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
52 lines
1.6 KiB
Python
52 lines
1.6 KiB
Python
import csv
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import pprint
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from typing import List, Iterable, Optional
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from presidio_analyzer import BatchAnalyzerEngine, DictAnalyzerResult
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from presidio_anonymizer import BatchAnonymizerEngine
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"""
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Example implementing a CSV analyzer
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This example shows how to use the Presidio Analyzer and Anonymizer
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to detect and anonymize PII in a CSV file.
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It uses the BatchAnalyzerEngine to analyze the CSV file, and
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BatchAnonymizerEngine to anonymize the requested columns.
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Content of csv file:
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id,name,city,comments
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1,John,New York,called him yesterday to confirm he requested to call back in 2 days
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2,Jill,Los Angeles,accepted the offer license number AC432223
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3,Jack,Chicago,need to call him at phone number 212-555-5555
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"""
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class CSVAnalyzer(BatchAnalyzerEngine):
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def analyze_csv(
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self,
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csv_full_path: str,
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language: str,
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keys_to_skip: Optional[List[str]] = None,
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**kwargs,
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) -> Iterable[DictAnalyzerResult]:
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with open(csv_full_path, 'r') as csv_file:
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csv_list = list(csv.reader(csv_file))
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csv_dict = {header: list(map(str, values)) for header, *values in zip(*csv_list)}
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analyzer_results = self.analyze_dict(csv_dict, language, keys_to_skip)
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return list(analyzer_results)
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if __name__ == "__main__":
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analyzer = CSVAnalyzer()
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analyzer_results = analyzer.analyze_csv('./csv_sample_data/sample_data.csv',
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language="en")
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pprint.pprint(analyzer_results)
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anonymizer = BatchAnonymizerEngine()
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anonymized_results = anonymizer.anonymize_dict(analyzer_results)
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pprint.pprint(anonymized_results)
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