import
pandas as pd
data1
=
{
'Serial_No.'
: [
'1'
,
'2'
,
'3'
,
'4'
,
'5'
],
'First'
: [
'F0'
,
'F1'
,
'F2'
,
'F3'
,
'F4'
],
'Second'
: [
'S0'
,
'S1'
,
'S2'
,
'S3'
,
'S4'
],
}
df1
=
pd.DataFrame(data1, columns
=
[
'Serial_No.'
,
'First'
,
'Second'
])
df1
data2
=
{
'Serial_No.'
: [
'6'
,
'7'
,
'8'
,
'9'
,
'10'
],
'First'
: [
'F10'
,
'F11'
,
'F12'
,
'F13'
,
'F14'
],
'Second'
: [
'S10'
,
'S11'
,
'S12'
,
'S13'
,
'S14'
],
}
df2
=
pd.DataFrame(data2, columns
=
[
'Serial_No.'
,
'First'
,
'Second'
])
df2