(假设Excel 2003…)

当使用文本到列向导时，在步骤3中，您可以为每个列指定数据类型。单击预览中的列，将行为不端的列从“常规”更改为“文本”。

None of the solutions offered here is a good solution. It may work for individual cases, but only if you're in control of the final display. Take my example: my work produces list of products they sell to retail. This is in CSV format and contain part-codes, some of them start with zero's, set by manufacturers (not under our control). Take away the leading zeroes and you may actually match another product. Retail customers want the list in CSV format because of back-end processing programs, that are also out of our control and different per customer, so we cannot change the format of the CSV files. No prefixed'=', nor added tabs. The data in the raw CSV files is correct; it's when customers open those files in Excel the problems start. And many customers are not really computer savvy. They can just about open and save an email attachment. We are thinking of providing the data in two slightly different formats: one as Excel Friendly (using the options suggested above by adding a TAB, the other one as the 'master'. But this may be wishful thinking as some customers will not understand why we need to do this. Meanwhile we continue to keep explaining why they sometimes see 'wrong' data in their spreadsheets. Until Microsoft makes a proper change I see no proper resolution to this, as long as one has no control over how end-users use the files.

如果有人还在寻找答案，下面这句话对我来说非常合适

我输入=("my_value")。 即=("04SEP2009")显示为04SEP2009，而不是09/04/2009

这同样适用于大于15位的整数。他们不再修剪了。

另一种方法:

将要更改的列的格式转换为“Text”。选择要保留的所有单元格，复制。在不取消这些列的情况下，单击“编辑>粘贴特殊> As值”

保存为CSV。请注意，这必须是您对文件所做的最后一件事，因为当您重新打开它时，它将自己格式化为日期，因为单元格格式不能保存在CSV文件中。

下面是我们在生成csv文件时使用的简单方法，它确实会稍微改变值，所以并不适用于所有应用程序:

在csv中的所有值前加一个空格

excel将从诸如“1”、“2.3”和“-2.9e4”等数字中剥离该空格，但将保留诸如“01/10/1993”这样的日期和诸如“TRUE”这样的布尔值，从而阻止它们转换为excel的内部数据类型。

它也停止双引号被zapped在读进去，所以一个简单的方法，使文本在csv中保持不变的excel即使是一些文本，如“3.1415”是用双引号包围它，并在整个字符串前加上一个空格，即(使用单引号来显示你会键入什么)“3.1415”。然后在excel中，你总是有原始的字符串，除了它被双引号包围并以空格开头，所以你需要在任何公式中考虑这些。

在我的案例中，使用R生成的csv文件中的“Sept8”被Excel 2013转换为“8-Sept”。该问题通过使用xlsx包中的write.xlsx2()函数生成xlsx格式的输出文件来解决，该输出文件可以由Excel加载，而无需进行不必要的转换。因此，如果给你一个csv文件，你可以尝试将它加载到R中，并使用write.xlsx2()函数将其转换为xlsx。