使用 pandas 從 CSV 中刪除非 ascii 字符

Question

我正在查詢 SQL 服務器數據庫中的表並使用 pandas 導出到 CSV：

import pandas as pd

df = pd.read_sql_query(sql, conn)
df.to_csv(csvFile, index=False)

導出 CSV 時有沒有辦法刪除非 ASCII 字符？

Answer 1

您可以讀入文件，然后使用正則表達式去除非 ASCII 字符：

df.to_csv(csvFile, index=False)

with open(csvFile) as f:
    new_text = re.sub(r'[^\x00-\x7F]+', '', f.read())

with open(csvFile, 'w') as f:
    f.write(new_text)

Answer 2

這就是我遇到的情況。 這對我有用：

import re
regex = re.compile(r'[^\x00-\x7F]+') #regex that matches non-ascii characters
with open(csvFile, 'r') as infile, open('myfile.csv', 'w') as outfile:
    for line in infile:  #keep looping until we hit EOF (meaning there's no more lines to read)
        outfile.write(regex.sub('', line)) #write the current line in the input file to the output file, but if it matches our regex then we replace it with nothing (so it will get removed)