如何摆脱将excel表中的大数字转换为指数的 pandas ? [英] how to get rid of pandas converting large numbers in excel sheet to exponential?

问题描述

在excel表中，我有两列大数字.

In the excel sheet , i have two columns with large numbers.

但是当我使用 read_excel() 读取 excel 文件并显示数据框时，

But when i read the excel file with read_excel() and display the dataframe,

这两列以指数形式以科学格式打印.

those two columns are printed in scientific format with exponential.

怎样才能摆脱这种格式?

How can get rid of this format?

谢谢

熊猫输出

推荐答案

应用科学记数法的方式是通过 pandas 的显示控制的 选项:

The way scientific notation is applied is controled via pandas' display options:

pd.set_option('display.float_format', '{:.2f}'.format)
df = pd.DataFrame({'Traded Value':[67867869890077.96,78973434444543.44],
                   'Deals':[789797, 789878]})
print(df)
       Traded Value   Deals
0 67867869890077.96  789797
1 78973434444543.44  789878

如果这只是为了演示目的，您可以将您的将数据转换为字符串，同时逐列格式化它们:

If this is simply for presentational purposes, you may convert your data to strings while formatting them on a column-by-column basis:

df = pd.DataFrame({'Traded Value':[67867869890077.96,78973434444543.44],
                   'Deals':[789797, 789878]})
df

    Deals   Traded Value
0   789797  6.786787e+13
1   789878  7.897343e+13


df['Deals'] = df['Deals'].apply(lambda x: '{:d}'.format(x))
df['Traded Value'] = df['Traded Value'].apply(lambda x: '{:.2f}'.format(x))
df    

     Deals       Traded Value
0   789797  67867869890077.96
1   789878  78973434444543.44

另一种更直接的方法是将以下行放在仅格式化浮点数的代码顶部:

An alternative more straightforward method would to put the following line at the top of your code that would format floats only:

pd.options.display.float_format = '{:.2f}'.format

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