Ordering columns

import numpy as np
import pandas as pd 

df = pd.read_csv("bank.csv", sep=';') 

# Showing first 5 rows
df[:5]

	age	job	marital	education	default	balance	housing	loan	contact	day	month	duration	campaign	pdays	previous	poutcome	y
0	30	unemployed	married	primary	no	1787	no	no	cellular	19	oct	79	1	-1	0	unknown	no
1	33	services	NaN	secondary	no	4789	yes	yes	cellular	11	may	220	1	339	4	failure	no
2	35	management	single	tertiary	no	1350	yes	no	cellular	16	apr	185	1	330	1	failure	no
3	30	management	married	tertiary	no	1476	yes	yes	unknown	3	jun	199	4	-1	0	unknown	no
4	59	blue-collar	married	secondary	no	0	yes	no	unknown	5	may	226	1	-1	0	unknown	no

df = df [['job', 'education', 'marital', 'age']]

df[:5]

	job	education	marital	age
0	unemployed	primary	married	30
1	services	secondary	NaN	33
2	management	tertiary	single	35
3	management	tertiary	married	30
4	blue-collar	secondary	married	59