读取大型制表符分隔文件分块时出现异常

我有一个 350MB 制表符分隔的文本文件。如果我尝试将其读入内存，则会出现内存不足异常。所以我正在尝试一些类似的事情（即只阅读几列）：

import pandas as pd

input_file_and_path = r'C:\Christian\ModellingData\X.txt'

column_names = [
    'X1'
    # , 'X2
]
raw_data = pd.DataFrame()
for chunk in pd.read_csv(input_file_and_path, names=column_names, chunksize=1000, sep='\t'):
    raw_data = pd.concat([raw_data, chunk], ignore_index=True)

print(raw_data.head())

不幸的是，我得到了这个：

Traceback (most recent call last):
  File "pandas\_libs\parsers.pyx", line 1134, in pandas._libs.parsers.TextReader._convert_tokens
  File "pandas\_libs\parsers.pyx", line 1240, in pandas._libs.parsers.TextReader._convert_with_dtype
  File "pandas\_libs\parsers.pyx", line 1256, in pandas._libs.parsers.TextReader._string_convert
  File "pandas\_libs\parsers.pyx", line 1494, in pandas._libs.parsers._string_box_utf8
UnicodeDecodeError: 'utf-8' codec can't decode byte 0xae in position 5: invalid start byte

在处理上述异常的过程中，又出现了一个异常：

Traceback (most recent call last):
  File "C:/xxxx/EdaDataPrepRange1.py", line 17, in <module>
    for chunk in pd.read_csv(input_file_and_path, header=None, names=column_names, chunksize=1000, sep='\t'):
  File "C:\ProgramData\Anaconda3\lib\site-packages\pandas\io\parsers.py", line 1007, in __next__
    return self.get_chunk()
  File "C:\ProgramData\Anaconda3\lib\site-packages\pandas\io\parsers.py", line 1070, in get_chunk
    return self.read(nrows=size)
  File "C:\ProgramData\Anaconda3\lib\site-packages\pandas\io\parsers.py", line 1036, in read
    ret = self._engine.read(nrows)
  File "C:\ProgramData\Anaconda3\lib\site-packages\pandas\io\parsers.py", line 1848, in read
    data = self._reader.read(nrows)
  File "pandas\_libs\parsers.pyx", line 876, in pandas._libs.parsers.TextReader.read
  File "pandas\_libs\parsers.pyx", line 903, in pandas._libs.parsers.TextReader._read_low_memory
  File "pandas\_libs\parsers.pyx", line 968, in pandas._libs.parsers.TextReader._read_rows
  File "pandas\_libs\parsers.pyx", line 1094, in pandas._libs.parsers.TextReader._convert_column_data
  File "pandas\_libs\parsers.pyx", line 1141, in pandas._libs.parsers.TextReader._convert_tokens
  File "pandas\_libs\parsers.pyx", line 1240, in pandas._libs.parsers.TextReader._convert_with_dtype
  File "pandas\_libs\parsers.pyx", line 1256, in pandas._libs.parsers.TextReader._string_convert
  File "pandas\_libs\parsers.pyx", line 1494, in pandas._libs.parsers._string_box_utf8
UnicodeDecodeError: 'utf-8' codec can't decode byte 0xae in position 5: invalid start byte

有任何想法吗。顺便说一句，我通常如何处理大文件并估算例如缺失的变量？最终，我需要阅读所有内容来确定，例如，要估算的中位数。

use encoding="utf-8"使用时pd.read_csv

这里他们就使用了这种编码。看看这是否有效。open(file path, encoding='windows-1252'):

参考：“utf-8”编解码器无法解码位置 4276 中的字节 0xa0：无效的起始字节 https://stackoverflow.com/questions/48067514/utf-8-codec-cant-decode-byte-0xa0-in-position-4276-invalid-start-byte

工作方案

使用编码encoding="ISO-8859-1"