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I have a data frame with a numerical values(float64), I have used the inbuilt (mean,median,mode) function of pandas and chained round function to 4 decimal place, now the result is leading to an exponential value.

print(a.mean().round(4))

result = (4.509534e+09)

Is there a way i can chain a inbuild function/some other solution to convert the value to numerical?

I have tried to convert my result to numerical from this, but it didn't work out.

as Heading specifies i would like a solution for chaining, but not entering a suppressing command at top of code [pd.set_option('display.float_format', lambda x: '%.4f' % x)], 

a.[pandas mean/median.mode].apply(lambda x: '%.17f' % x).values.tolist()

only work for mean and median but not for mode. The solution for above was referred from this link

Tushar Sharma
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1 Answers1

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You can use df.style. Try:

df.style.format('{:.4f}')
Mohit Motwani
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