Python pandas to_csv导致OSError:[Errno 22]无效的参数 [英] Python pandas to_csv causes OSError: [Errno 22] Invalid argument

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问题描述

我的代码如下:

import pandas as pd
import numpy as np

df = pd.read_csv("path/to/my/infile.csv")
df = df.sort_values(['distance', 'time'])
df.to_csv("path/to/my/outfile.csv")

此代码从infile.csv中读取,这是一个3GB的csv文件成功,对其进行排序,并在尝试写入outfile.csv时失败,并出现以下错误:

this code reads from infile.csv which is a 3GB csv file successfully, sorts it and fails when trying to write to outfile.csv with the following error:

OSError                                   Traceback (most recent call last)
<ipython-input-10-3a5c8279658d> in <module>
----> 1 df.to_csv('/Users/joaomatos/Desktop/cluster22_sorted_training.csv',index=False)

/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/pandas/core/frame.py in to_csv(self, path_or_buf, sep, na_rep, float_format, columns, header, index, index_label, mode, encoding, compression, quoting, quotechar, line_terminator, chunksize, tupleize_cols, date_format, doublequote, escapechar, decimal)
   1743                                  doublequote=doublequote,
   1744                                  escapechar=escapechar, decimal=decimal)
-> 1745         formatter.save()
   1746 
   1747         if path_or_buf is None:

/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/pandas/io/formats/csvs.py in save(self)
    164                                          encoding=encoding,
    165                                          compression=self.compression)
--> 166                 f.write(buf)
    167                 f.close()
    168                 for _fh in handles:

OSError: [Errno 22] Invalid argument

我的问题是为什么?

谢谢您的帮助

推荐答案

显然,此问题是由报告的已知错误引起的此处与以前的熊猫版本相关联。我所要做的就是 pip3 install --upgrade pandas 然后重新启动计算机。

Apparently this problem is caused by a known bug reported here associated with a previous version of pandas. All I had to do was pip3 install --upgrade pandas and then restart the computer.

这篇关于Python pandas to_csv导致OSError:[Errno 22]无效的参数的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持IT屋!

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