numpy 将文本文件导出到Pandas

xqkwcwgp 于 2022-11-10 发布在其他

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,100440002,5.4231864E-03,-3.5126557E-05,1.7357473E-03,-8.8694117E-06,-1.6764278E-03,-3.1980174E-05,

,100440003,5.4183852E-03,-6.6414255E-05,3.3785363E-03,-1.9082331E-05,-1.6818597E-03,-2.7734946E-05,

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,100440017,4.4881038E-03,-3.2599053E-04,2.5028789E-02,-1.0006818E-04,-1.3968052E-03,-1.5421975E-05,

我想用逗号分隔数字，并将每个数字放在单独的列中。然后我想把它们保存到EXCEL文件中。

numpy

来源：https://stackoverflow.com/questions/74251865/export-text-file-to-pandas

2条答案

按热度按时间

jucafojl1#

如果是.txt文件，可以加载，然后转换成EXCEL文件，如下所示：

df = pd.read_table('file.txt')
df.to_excel(filepath)

文件路径：计算机中要存储文件的位置，如'C:/Downloads/newfile.xlsx'

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yzuktlbb2#

逗号分隔的文件是CSV文件。需要使用pandas.read_csv命令，如下所示：

import pandas as pd
df = pd.read_csv('filename.CSV')

这将产生df，该df将成为您的数据的 Dataframe
然后可以导出到Excel：

df.to_excel('newfilename.XLSX')

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numpy 将文本文件导出到Pandas

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