使用 Python 3 使用 Faker 屏蔽现有数据时出错答案

【问题标题】：Error while using Python 3 to mask existing data using Faker使用 Python 3 使用 Faker 屏蔽现有数据时出错
【发布时间】：2017-05-21 08:47:12
【问题描述】：

我正在使用 Python 3 使用 Faker 包来屏蔽数据集。我在以下位置获得了一个代码： http://blog.districtdatalabs.com/a-practical-guide-to-anonymizing-datasets-with-python-faker。

代码：

def anonymize_rows(rows):

"""
Rows is an iterable of dictionaries that contain name and
email fields that need to be anonymized.
"""
    # Load the faker and its providers
    faker  = Factory.create()

    # Create mappings of names & emails to faked names & emails.
    c1  = defaultdict(faker.CARD_NO_ID)
    c2 = defaultdict(faker.ISS_USER_NAME)

    # Iterate over the rows and yield anonymized rows.
    for row in rows:
        # Replace the name and email fields with faked fields.
        row['CARD_NO_ID']  = c1[row['CARD_NO_ID']]
        row['ISS_USER_NAME'] = c2[row['ISS_USER_NAME']]

        # Yield the row back to the caller
        yield row

    """
    The source argument is a path to a CSV file containing data to 
    anonymize, while target is a path to write the anonymized CSV data to.
    """

source = 'card_transaction_data_all.csv'
target = 'card_transaction_data_all_fake.csv'

with open(source, 'rU') as f:
    with open(target, 'w') as o:
    # Use the DictReader to easily extract fields
        reader = csv.DictReader(f)
        writer = csv.DictWriter(o, reader.fieldnames)
        # Read and anonymize data, writing to target file.
        for row in anonymize_rows(reader):
            writer.writerow(row)

但我不断收到如下错误：

C:\Anaconda3.4\lib\site-packages\spyderlib\widgets\externalshell\start_ipython_kernel.py:1: DeprecationWarning: 'U' mode is deprecated # -- 编码：utf-8 -- Traceback（最近一次调用最后一次）：

文件“”，第 5 行，在 writer = csv.DictWriter(o, reader.fieldnames)

文件“C:\Anaconda3.4\lib\csv.py”，第 96 行，在字段名中 self._fieldnames = next(self.reader)

文件“C:\Anaconda3.4\lib\site-packages\unicodecsv\py3.py”，第 55 行，下一个 return self.reader.下一个()

文件“C:\Anaconda3.4\lib\site-packages\unicodecsv\py3.py”，第 51 行，在 f = (bs.decode(encoding, errors=errors) for bs in f)

AttributeError: 'str' 对象没有属性 'decode'

有人可以帮我在 Python 3 中实现代码吗？非常感谢。

【问题讨论】：

标签： python-3.x faker data-masking

【解决方案1】：

对于 Python3，使用标准 csv（导入 csv）并删除 'rU' 中的 U

【讨论】：

【解决方案2】：

我也花了一些时间将网上找到的 python2 faker 示例转换为 python3。下面的转换应该可以工作（非常感谢@AKhooli的回答！）

    import csv
    from faker import Faker
    from collections import defaultdict

    def anonymize_rows(rows):

    """
    Rows is an iterable of dictionaries that contain name and
    email fields that need to be anonymized.
    """
        # Load the faker and its providers
        faker  = Faker()

        # Create mappings of names & emails to faked names & emails.
        c1  = defaultdict(faker.msisdn)
        c2 = defaultdict(faker.name)

        # Iterate over the rows and yield anonymized rows.
        for row in rows:
            # Replace the name and email fields with faked fields.
            row['CARD_NO_ID']  = c1[row['CARD_NO_ID']]
            row['ISS_USER_NAME'] = c2[row['ISS_USER_NAME']]

            # Yield the row back to the caller
            yield row

        """
        The source argument is a path to a CSV file containing data to 
        anonymize, while target is a path to write the anonymized CSV data to.
        """

    source = 'card_transaction_data_all.csv'
    target = 'card_transaction_data_all_fake.csv'

    with open(source, 'r') as f:
        with open(target, 'w', newline='') as o:
        # Use the DictReader to easily extract fields
            reader = csv.DictReader(f)
            writer = csv.DictWriter(o, reader.fieldnames)
            # Read and anonymize data, writing to target file
            # with header!
            writer.writeheader()
            for row in anonymize_rows(reader):
                writer.writerow(row)

【讨论】：