Welcome to OGeek Q&A Community for programmer and developer-Open, Learning and Share
Welcome To Ask or Share your Answers For Others

Categories

0 votes
419 views
in Technique[技术] by (71.8m points)

python - how to get rid of pandas converting large numbers in excel sheet to exponential?

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

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

those two columns are printed in scientific format with exponential.

How can get rid of this format?

Thanks

Output in Pandas

enter image description here

See Question&Answers more detail:os

与恶龙缠斗过久,自身亦成为恶龙;凝视深渊过久,深渊将回以凝视…
Welcome To Ask or Share your Answers For Others

1 Reply

0 votes
by (71.8m points)

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

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

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

与恶龙缠斗过久,自身亦成为恶龙;凝视深渊过久,深渊将回以凝视…
OGeek|极客中国-欢迎来到极客的世界,一个免费开放的程序员编程交流平台!开放,进步,分享!让技术改变生活,让极客改变未来! Welcome to OGeek Q&A Community for programmer and developer-Open, Learning and Share
Click Here to Ask a Question

...