How pandas turns decimal into percentage

Multiply the decimal by 100 percent (e.g. is.

There's a dumber way to do it, and you should be able to understand it if you play pandas.

import pandas as pd

data_dict=

df = ,index=list('abcd'))df['pre']=(df['pre']*100).astype(str)

df['pset']=df['pre']+df['mark']print(df)

Here's what it looks like: mark pre pset

a %b %

c %d %

process finished with exit code 0

You can try this.

df = x:format(x,".2f%"))

However, the export to excel is still in text format, and the percentage of the export to excel that is kept in numeric format is not yet found.

Whether it's a column in a dataframe or all the values in a dataframe.

The two percent sign is printed with printf(""The function prints a percent sign on the program interface, don't believe you try.

printf("%%“

Why is this so? Because % is often followed by d, f, c, s or something, used to output integers, characters, strings, etc., the compiler reads your **, reads the percent sign, it will judge what is followed by it,,, it is not clear, anyway, the compiler is designed by people, it cannot be omnipotent, it is also a piece of analysis according to what you write, this is the need of design.

The last two %% are redundant!! Useless!

Because the denominator of the percentage is one hundred, the decimal number should also be multiplied by one hundred to make the numerator, and that's it.

An integer string is converted to a corresponding integer.

int('12')

Convert decimal strings to corresponding decimals.

float('')

Numbers are converted to strings.

str(ASCII code is converted to the corresponding character.

chr(97)

Characters are converted to respond to ASCII codes.

ord('a')

Read: 71.6 percent.

Hope it helps!

The percentage is read as (7,160 percent).