导出为CSV时，如何在列中保持前导零? [英] How can I keep leading zeros in a column, when I export to CSV?

问题描述

我正在尝试导出带有前导零的列的数据框，如下所示:

I am trying to export a dataframe with a column with leading zeros like this:

df["CD_LIN_NEG"]

0     001
1     001
2     004
3     001
4     001
5     001
6     003
7     006
Name: CD_LIN_NEG, dtype: object

但是当我导出到csv时，当我在Excel中打开文件时，所有前导零都会被截断.如何保持零?

But when I export to csv, all of the leading zeros are cut off any numbers when I open the file in Excel. How can I keep the zeros?

我试图转换为字符串，但不起作用:

I have tried to convert to string but it doesn't work:

df["CD_LIN_NEG"] = df['T_PROD_CP.LN'].astype(str).apply(lambda x: x.zfill(3))

或以这种方式:

df["CD_LIN_NEG"] = '00' + df['T_PROD_CP.LN'].astype(str)

推荐答案

这是@EdChum建议的excel问题.您需要使用apply('="{}".format)将列包装在=""中.这将告诉excel将条目视为返回引号内文本的公式.该文本将是您的值，且前导零.

This is an excel problem as @EdChum suggested. You'll want to wrap your column in ="" with apply('="{}".format). This will tell excel to treat the entry as a formula that returns the text within quotes. That text will be your values with leading zeros.

请考虑以下示例.

df = pd.DataFrame(dict(A=['001', '002']))
df.A = df.A.apply('="{}"'.format)
df.to_excel('test_leading_zeros.xlsx')

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