问题内容

我需要读取带有逗号的 csv 文件以及字符串和数字，但数字中包含逗号，例如 1,260。此外，csv 文件是用逗号分隔的，因此我无法以正确的方式读取文件。我怎样才能将它们分开？

import pandas as pd
df_customer_list=pd.read_csv("customer_list 09.01.2024.csv",sep=',')

该文件包含以下 3 行

angel melo,[email protected],"1,260",Yes,0
michael alem,[email protected],60,Yes,0
charles ekk,[email protected],"2,220",Yes,0

我认为核心问题是您的数据似乎没有标题，因此数据框的显示有点不稳定。

以您的示例数据为例，我似乎只需指定千位分隔符且不指定标题即可正常加载它。

import io
import pandas

data = """
angel melo,<a href="/link/89fee0513b6668e555959f5dc23238e9" class="__cf_email__" data-cfemail="cdaca3aaa8a1a0a8a1a2f8fb8daaa0aca4a1e3aea2a0">[email protected]</a>,"1,260",yes,0
michael alem,<a href="/link/89fee0513b6668e555959f5dc23238e9" class="__cf_email__" data-cfemail="55383c363d343930393a3a153238343c397b363a38">[email protected]</a>,60,yes,0
charles ekk,<a href="/link/89fee0513b6668e555959f5dc23238e9" class="__cf_email__" data-cfemail="6a09020b18060f195f5c2a0d070b030644090507">[email protected]</a>,"2,220",yes,0
"""

df = pandas.read_csv(io.stringio(data), thousands=",", header=none)
print(df)

应该产生：

0                      1     2    3  4
0    angel melo  <a href="/link/89fee0513b6668e555959f5dc23238e9" class="__cf_email__" data-cfemail="74151a1311181911181b4142341319151d185a171b19">[email protected]</a>  1260  Yes  0
1  michael alem   <a href="/link/89fee0513b6668e555959f5dc23238e9" class="__cf_email__" data-cfemail="1a777379727b767f7675755a7d777b737634797577">[email protected]</a>    60  Yes  0
2   charles ekk    <a href="/link/89fee0513b6668e555959f5dc23238e9" class="__cf_email__" data-cfemail="6e0d060f1c020b1d5b582e09030f0702400d0103">[email protected]</a>  2220  Yes  0