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

Answer 1

如pandas.DataFrame.to_csv()的文档中所述，只需将index=False作为关键字参数传递，即可排除行名称。

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

Answer 2

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.

Answer 3

要删除列名称：

data_xls.to_csv("filename.csv",index=False,header=None ,encoding='utf-8')

Answer 4

我刚刚在这里回答了一个可以在另一个 SO 问题中完成工作的函数。