pandas 将我的列转换为 2 个小数位

声明:本页面是StackOverFlow热门问题的中英对照翻译,遵循CC BY-SA 4.0协议,如果您需要使用它,必须同样遵循CC BY-SA许可,注明原文地址和作者信息,同时你必须将它归于原作者(不是我):StackOverFlow 原文地址: http://stackoverflow.com/questions/42451387/
Warning: these are provided under cc-by-sa 4.0 license. You are free to use/share it, But you must attribute it to the original authors (not me): StackOverFlow

提示:将鼠标放在中文语句上可以显示对应的英文。显示中英文
时间:2020-09-14 03:03:53  来源:igfitidea点击:

Converting my column to 2 decimal places

pythonpandasdecimal

提问by Omer Qureshi

I have a dataset:

我有一个数据集:

df = pd.read_excel('/Users/Adeel/Desktop/ECON628-01-omerqureshi84/datasets/main-data.xlsx')

It has columns with names such as "lerate" which is the log of the exchange rates for countries. It's in 5 decimal places and and I'm trying to convert it to 2 decimal places.

它具有名称为“lerate”的列,它是各国汇率的日志。它有 5 个小数位,我正在尝试将其转换为 2 个小数位。

I'm using the following code:

我正在使用以下代码:

for i in range(len(df.lerate)):
    print ("%.2f" % df.lerate[i])

It's giving me an error.

它给了我一个错误。

Can anyone help? I don't know what's wrong here.

任何人都可以帮忙吗?我不知道这里出了什么问题。

回答by mechanical_meat

You can use round:

您可以使用round

df.lerate = df.lerate.round(2)

Example:

例子:

>>> df = pd.DataFrame(np.random.random([3, 3]), 
                      columns=['A', 'B', 'C'], index=['first', 'second', 'third'])
>>> df.A = df.A.round(2)
>>> df
           A         B         C
first   0.82  0.581855  0.548373
second  0.21  0.536690  0.986906
third   0.78  0.100343  0.576521