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[Solved] Pandas DataFrame.to_csv raising IOError: No such file or directory

Hello Guys, How are you all? Hope You all Are Fine. Today I get the following error Pandas DataFrame.to_csv raising IOError: No such file or directory in python. So Here I am Explain to you all the possible solutions here.

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How Pandas DataFrame.to_csv raising IOError: No such file or directory Error Occurs?

Today I get the following error Pandas DataFrame.to_csv raising IOError: No such file or directory in python.

How To Solve Pandas DataFrame.to_csv raising IOError: No such file or directory Error ?

  1. How To Solve Pandas DataFrame.to_csv raising IOError: No such file or directory Error ?

    To Solve Pandas DataFrame.to_csv raising IOError: No such file or directory Error Here is an alternative way to do this using the excellent standard library pathlib module, which generally makes things neater.

  2. Pandas DataFrame.to_csv raising IOError: No such file or directory

    To Solve Pandas DataFrame.to_csv raising IOError: No such file or directory Error Here is an alternative way to do this using the excellent standard library pathlib module, which generally makes things neater.

Solution 1

to_csv does create the file if it doesn’t exist as you said, but it does not create directories that don’t exist. Ensure that the subdirectory you are trying to save your file within has been created first.

I often do something like this in my work:

import os

outname = 'name.csv'

outdir = './dir'
if not os.path.exists(outdir):
    os.mkdir(outdir)

fullname = os.path.join(outdir, outname)    

df.to_csv(fullname)

This can easily be wrapped up in a function if you need to do this frequently.

Solution 2

Here is an alternative way to do this using the excellent standard library pathlib module, which generally makes things neater.

As explained elsewhere, to_csv will create the file if it doesn’t exist, but won’t create any non-existent directories in the path to the file, so you need to first ensure that these exist.

from pathlib import Path

output_file = 'my_file.csv'
output_dir = Path('long_path/to/my_dir')

output_dir.mkdir(parents=True, exist_ok=True)

df.to_csv(output_dir / output_file)  # can join path elements with / operator

Setting parents=True will also create any necessary parent directories, and exist_ok=True means it won’t raise an error if the directory already exists, so you don’t have to explicitly check that separately.

Summery

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