Python - 字典迭代和替換每次都在相同的情況下失敗

Question

我遍歷字典。 鍵是我想用“新值”替換的“舊值”，即字典中的值。

我能夠在大多數情況下進行替換。 但是，我總是發現字典的第二個條目（“02-more text”）總是在其他經過清理的輸出文件中。

我究竟做錯了什么？ 我讀過 Python 不喜歡替換它正在迭代的列表。 所以，我有一個“for 循環”附加到的新列表。 其中我有一個“臨時行”，它復制原始“csv_rows”中的行。

為什么“02-more text”總是在輸出文件中？

原始文件是一個 CSV 文件。 轉動數據框“tolist”使數據框的每一行成為更大列表“csv_rows”中的一個列表。

import pandas as pd
import csv 
from csv import writer

dictionary = {
"01-some text" : "replacement",
"02-more text" : "replacement",
"03-even more text" : "replacement",
"01-text" : "replacement",
"02-another lorem" : "replacement",
"03-ipsum" : "replacement",
"04-dolorem" : "replacement"
}

def append_list_as_row(file_name, list_of_elem):
    # Open file in append mode
    with open(file_name, 'a+', newline='', encoding='utf-8') as write_obj:
        # Create a writer object from csv module
        csv_writer = writer(write_obj)
        # Add contents of list as last row in the csv file
        csv_writer.writerow(list_of_elem)

def get_file_encoding(src_file_path):
    """
    Get the encoding type of a file
    :param src_file_path: file path
    :return: str - file encoding type
    """
    with open(src_file_path) as src_file:
        return src_file.encoding

data = 'ANQAR.csv'
my_encoding = str(get_file_encoding(data))
df = pd.read_csv(data, encoding=my_encoding)

csv_rows = df.values.tolist()
new_list = []

for key in dictionary:  
    for row in csv_rows:
        temp_row = row
        if key in row:
            #find the index
            i = row.index(key)
            #replace value with new one
            temp_row[i] = dictionary[key]
        new_list.append(temp_row)


for row in new_list:
    append_list_as_row('newANQAR.csv', row)

Answer 1

您沒有正確進行消毒。

嘗試運行以下代碼段，看看它是否適合您：

replacements_map = {
    "01-some text": "replacement",
    "02-more text": "replacement",
    "03-even more text": "replacement",
    "01-text": "replacement",
    "02-another lorem": "replacement",
    "03-ipsum": "replacement",
    "04-dolorem": "replacement"
}

csv_rows = [["01-some text", " other data here"],
            ["wont need replacement", "02-another lorem"]]

sanitized_rows = []

for row in csv_rows:
    sanitized_rows.append(
        [(replacements_map[item] if (item in replacements_map) else item)
         for item
         in row]
    )

print(sanitized_rows)