Is there a way using pandas library to separate the values in adjacent columns with two spaces

Asked Oct 09 '20 at 15:56

Active Oct 09 '20 at 16:41

Viewed 36 times

I am sub setting several columns from gapminder data using code:

df_2000 = df.loc[(df['year']>2000) & (df['country'] == 'United States') , ['year' ,'country', 'population', 'life_exp']]

I get the output but I need to make it more visual by separating values in different columns with 2 spaces or more so the code will be much prettier.

So for example instead of

Year  Country Population Life

100     AS       100000   0.6

I need something like

Year       Country     Population     Life

100          AS       100000          0.6

Thank you

edited Oct 09 '20 at 16:41

asked Oct 09 '20 at 15:56

user1997567

3

Please provide sample input and expected output for better understanding. – Mayank Porwal Oct 09 '20 at 15:58
Please provide more detail and example so people can help you – Mehdi Golzadeh Oct 09 '20 at 16:27
It seems that you want to "pretty print" your dataframe / columns. Does this SO post answers your question ? https://stackoverflow.com/questions/18528533/pretty-printing-a-pandas-dataframe – Rivers Oct 09 '20 at 16:50
I need something to input myself exactly 3 spaces to separate the values in adjacent columns. – user1997567 Oct 09 '20 at 16:51

0 Answers0