import
pandas as pd
AB
=
pd.DataFrame({
'Roll Number'
: [
'9917102206'
,
'9917102250'
,
'9917102203'
,
'9917102204'
,
'9917102231'
],
'Name'
: [
'TANYA'
,
'PREETIKA'
,
'KUSHAGRA'
,
'PRAKHAR'
,
'ASHISH'
],
'Score'
: [
99
,
98
,
50
,
45
,
97
],
'Grade'
: [
'A+'
,
'A+'
,
'C+'
,
'C'
,
'A'
],
'Subject'
: [
'Operating Systems'
,
'Operating Systems'
,
'Operating Systems'
,
'Operating Systems'
,
'Operating Systems'
]})
import
pandas as pd
AB
=
pd.DataFrame({
'Roll Number'
: [
'9917102206'
,
'9917102250'
,
'9917102203'
,
'9917102204'
,
'9917102231'
],
'Name'
: [
'TANYA'
,
'PREETIKA'
,
'KUSHAGRA'
,
'PRAKHAR'
,
'ASHISH'
],
'Score'
: [
99
,
98
,
50
,
45
,
97
],
'Grade'
: [
'A+'
,
'A+'
,
'C+'
,
'C'
,
'A'
],
'Subject'
: [
'Operating Systems'
,
'Operating Systems'
,
'Operating Systems'
,
'Operating Systems'
,
'Operating Systems'
]})
AB.reset_index(level
=
0
, inplace
=
True
)
print
( AB.to_string(index
=
False
))