Python using pandas to convert xlsx to csv file. How to delete index column?

Question

I am using the following code to convert .xlsx files into .csv files.

import pandas as pd
data_xls = pd.read_excel('excelfile.xlsx', 'Sheet2', index_col=None)
data_xls.to_csv('csvfile.csv', encoding='utf-8')

The code is working, however I am getting an index column with the cell numbers which I do not want. Is there anyway to not include or remove that index column?

File output

 Unnamed  Data
    0   0.99319613
    1   0.99319613
    2   0.99319613
    3   0.99319613
    4   0.99319613
    5   0.99319613

Does this answer your question? xls to csv converter

Tomerikoo
– Tomerikoo

2022-01-07 20:36:27 +00:00
Commented Jan 7, 2022 at 20:36 — Tomerikoo
– Tomerikoo, Commented Jan 7, 2022 at 20:36

Trenton McKinney · Accepted Answer · 2020-11-24 20:47:18Z

34

As noted in the docs for pandas.DataFrame.to_csv(), simply pass index=False as a keyword argument, to exclude row names.

data_xls.to_csv('csvfile.csv', encoding='utf-8', index=False)

edited Nov 24, 2020 at 20:47

Trenton McKinney

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answered Feb 23, 2017 at 17:31

miradulo

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Comments

Punnerud · Accepted Answer · 2020-04-12 08:42:37Z

9

Inspired by miradulo and fix a number conversion problem:

import pandas as pd
data_xls = pd.read_excel('excelfile.xlsx', 'Sheet2', dtype=str, index_col=None)
data_xls.to_csv('csvfile.csv', encoding='utf-8', index=False)

Can drop 'Sheet2' if there is one sheet. dtype=str to avoid number conversion.

answered Apr 12, 2020 at 8:42

Punnerud

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