[英]style.hide_index() adds multiple zeros after decimal
Here was what I'm working on这就是我正在做的事情
df_top_50= df[['Rank', 'Player', 'Position', 'Age', 'Nationality', 'Club Left', 'Club Joined', 'Transfer Fee (EUR)']]
It returned它回来了
Rank Player Position Age Nationality Club Left Club Joined Transfer Fee (EUR)
1 1 Antony Forward 22 Netherlands Ajax Amsterdam Manchester United 95.00
2 2 Wesley Fofana Defender 21 England Leicester City Chelsea FC 80.40
3 3 Aurélien Tchouameni Midfielder 22 Monaco AS Monaco Real Madrid 80.00
I wanna get rid of the index column, so I add style.hide_index()
:我想摆脱索引列,所以我添加
style.hide_index()
:
df_top_50= df[['Rank', 'Player', 'Position', 'Age', 'Nationality', 'Club Left', 'Club Joined', 'Transfer Fee (EUR)']].style.hide_index()
I got what I want, but the values in transfer fee column suddenly added 0s after decimal:我得到了我想要的,但是转会费一栏中的值突然在小数点后加了0:
Rank Player Position Age Nationality Club Left Club Joined Transfer Fee (EUR)
1 Antony Forward 22 Netherlands Ajax Amsterdam Manchester United 95.000000
2 Wesley Fofana Defender 21 England Leicester City Chelsea FC 80.400000
3 Aurélien Tchouameni Midfielder 22 Monaco AS Monaco Real Madrid 80.000000
Is there any way to put it back, like in the first dataframe?有什么办法可以把它放回去,比如在第一个 dataframe 中?
If OP's goal is to round the values in the column Transfer Fee (EUR)
, one can use pandas.DataFrame.round
as如果 OP 的目标是四舍五入
Transfer Fee (EUR)
列中的值,则可以使用pandas.DataFrame.round
作为
df = df.round({'Transfer Fee (EUR)': 1})
Then the values of that column will be然后该列的值将是
0 95.0
1 80.4
2 80.0
Alternatively, if OP wants to specify the exact number of decimal places, assuming one wants that number to be 2
, then one can use pandas.DataFrame.apply
as follows或者,如果 OP 想要指定确切的小数位数,假设一个希望该数字为
2
,那么可以使用pandas.DataFrame.apply
如下
df['Transfer Fee (EUR)'] = df['Transfer Fee (EUR)'].apply('{0:.2f}'.format)
Then the values of that column will be然后该列的值将是
0 95.00
1 80.40
2 80.00
Since pandas.io.formats.style.Styler.hide_index
is deprecated, use pandas.io.formats.style.Styler.hide
instead. Since
pandas.io.formats.style.Styler.hide_index
is deprecated, use pandas.io.formats.style.Styler.hide
instead.
Deprecated since version 1.4.0 : This method should be replaced by hide(axis="index", **kwargs)
1.4.0 版后已弃用:此方法应替换为 hide(axis="index", **kwargs)
Try this:尝试这个:
df.style.format({'Transfer Fee (EUR)': "{:.2f}"}).hide()
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