如何避免“ValueError:未找到分隔符，分块超过限制”

# 示例代码：检查和修正分隔符
with open('input.csv', 'r') as file:
    lines = file.readlines()

with open('output.csv', 'w') as file:
    for line in lines:
        if ',' not in line:
            line = line.replace('\t', ',')  # 假设原文件使用制表符分隔
        file.write(line)

# 示例代码：使用 pandas 处理不同分隔符
import pandas as pd

# 尝试不同的分隔符
delimiters = [',', '\t', ';']
for delimiter in delimiters:
    try:
        df = pd.read_csv('input.csv', delimiter=delimiter)
        break
    except ValueError:
        continue

if 'df' in locals():
    df.to_csv('output.csv', index=False)
else:
    print("无法解析文件")

# 示例代码：分块读取大文件
import pandas as pd

chunksize = 10 ** 6  # 每块的大小
chunks = []

for chunk in pd.read_csv('input.csv', chunksize=chunksize, delimiter=','):
    chunks.append(chunk)

df = pd.concat(chunks, ignore_index=True)
df.to_csv('output.csv', index=False)

# 示例代码：数据清洗
with open('input.csv', 'r') as file:
    lines = file.readlines()

cleaned_lines = []
for line in lines:
    if ',' in line:
        cleaned_lines.append(line)

with open('cleaned_input.csv', 'w') as file:
    file.writelines(cleaned_lines)