Question

Python语法错误 - CSV文件输入：我正在尝试使用CSV屏蔽测试来实现，并从masking using faker中获取用例。从链接中获取示例代码并尝试执行该程序。但是我在访问csv文件时遇到语法错误。

import unicodecsv as csv
from faker import Factory
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  = Factory.create()

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

# Iterate over the rows and yield anonymized rows.
for row in rows:
    # Replace the name and email fields with faked fields.
    row['name']  = names[row['name']]
    row['email'] = emails[row['email']]

    # Yield the row back to the caller
    yield row


   def anonymize('masktest.csv', 'masktest_tgt.csv'):
"""
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.
"""
with open('masktest.csv', 'rU') as f:
     with open('masktest_tgt.csv', '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):
            print (row['name'])
            writer.writerow(row)

Traceback (most recent call last):
  File "python", line 34
    def anonymize('masktest.csv', 'masktest_tgt.csv'):
                               ^
SyntaxError: invalid syntax

Answer 1

Word def仅用于定义函数。

要调用函数，请使用其名称和参数，而不使用＆＃34; def＆＃34;：

faked_values = anonimize('file.csv', 'file2.csv')

Answer 2

如果查看原始定义，您将看到正确的语法。

def anonymize(source, target):
    """
    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.
    """
    # more code...

这里的不同之处在于，在定义函数时，必须在括号中提供有效的标识符。标识符本质上是变量的名称，您将使用它来引用函数内的参数。

可能，您打算做以下事情之一：

调用一个函数，而不是定义它。在这种情况下，您不应使用def关键字。电话看起来像这样：func(arg1, arg2)。括号中的值的数量通常应与函数定义中的标识符数量相匹配。在这里，您可以使用字符串或您定义的任何其他文字值或变量代替arg1和arg2。
使函数参数可选。在这种情况下，括号中的字符串文字应该以标识符和=符号开头，如下所示：def anonymize(arg1 = 'one', arg2 = 'two')。这将允许您在没有必要的情况下调用函数来提供所有参数。如果没有为参数赋值，则会为其分配一个您在定义中编写的默认值。有效来电将是：anonymize('me')，anonymize()，anonymize(arg2 = 'you')等。

Answer 3

谢谢大家。我删除了该函数，只是将输入的csv文件名作为输入传递，它就像一个魅力。这是代码。

import csv
import unicodecsv as csv
from faker import Factory
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  = Factory.create()

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

# Iterate over the rows and yield anonymized rows.
for row in rows:
    # Replace the name and email fields with faked fields.
    row['name']  = names[row['name']]
    row['email'] = emails[row['email']]

    # Yield the row back to the caller
    yield row

#def anonymize('masktest.csv', 'masktest_tgt.csv'):
"""
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.
"""
with open('masktest.csv', 'rU') as f:
with open('masktest_tgt.csv', '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):
        print (row['name'])
        writer.writerow(row)

输入：身份证，姓名，电子邮件，电话 123，戴夫杰克逊，dave.jackson @ email.com，212-121-3234

蒙面输出：123，Elizabeth Myers MD，alicia70 @ hotmail.com，212-121-3234

Python faker - 语法错误 - CSV文件

3 个答案: