Python .语法错误- CSV文件

Question

Python CSV文件输入:我尝试对实现使用CSV掩蔽测试，并从伪装使用假面具获取用例。从链接中获取示例代码并尝试执行程序。但我在访问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

如果您查看原始定义，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中的参数。

可能，您打算做以下几件事之一：

• 调用一个函数，而不是定义它。在这种情况下，您不应该使用def关键字。一个电话看起来是这样的：func(arg1, arg2)。括号中的值数量通常应该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来代替arg1和arg2。
• 使函数参数是可选的。在这种情况下，括号中的字符串文本应该在前面加上一个标识符和一个=符号，如下所示：def anonymize(arg1 = 'one', arg2 = 'two')。这将允许您调用一个函数，而不需要过多的参数来提供所有的参数。如果一个参数没有被赋予一个值，它将被分配给你在定义中所写的默认参数。有效的调用将是：anonymize('me')、anonymize()、anonymize(arg2 = 'you')等。

Answer 2

Word def仅用于定义函数。

要调用函数，请使用它的名称和参数，不要使用"def"：

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

Answer 3

谢谢各位。我已经删除了该函数，并将输入csv文件名作为输入，它工作起来很有魅力。这是密码。

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: id，name，电子邮件，电话123，dave jackson，dave.jackson@email.com,212-121-3234

蒙面输出: 123，Elizabeth Myers MD，alicia70 70@hotmail.com，212-121-3234