Pandas how to get this?
2
I am using Python3 pandas to read a CSV file which contains 4 columns, named {a,b,c,d}.
Now I want to add a new column e where the data is given by (d-last.d)/last.d.
How can I do it?
python pandas
edited Nov 25 '18 at 8:22
MaJoR
430111
asked Nov 25 '18 at 6:28
candrwowcandrwow
607
add a comment |
2
I am using Python3 pandas to read a CSV file which contains 4 columns, named {a,b,c,d}.
Now I want to add a new column e where the data is given by (d-last.d)/last.d.
How can I do it?
python pandas
edited Nov 25 '18 at 8:22
MaJoR
430111
asked Nov 25 '18 at 6:28
candrwowcandrwow
607
1
If you think the below answer worked for you, then please do not forget to select it as the right one by clicking on the 'tick' button.
– Shiv_90
Nov 25 '18 at 6:35
system tip me "You can accept an answer in 3 minutes" when i click this button,I don't know why
– candrwow
Nov 25 '18 at 6:42
Thats because of the timer. Come back anytime and select it the right one.
– Shiv_90
Nov 25 '18 at 6:44
add a comment |
2
2
2
I am using Python3 pandas to read a CSV file which contains 4 columns, named {a,b,c,d}.
Now I want to add a new column e where the data is given by (d-last.d)/last.d.
How can I do it?
python pandas
edited Nov 25 '18 at 8:22
MaJoR
430111
asked Nov 25 '18 at 6:28
candrwowcandrwow
607
I am using Python3 pandas to read a CSV file which contains 4 columns, named {a,b,c,d}.
Now I want to add a new column e where the data is given by (d-last.d)/last.d.
How can I do it?
python pandas
python pandas
edited Nov 25 '18 at 8:22
MaJoR
430111
asked Nov 25 '18 at 6:28
candrwowcandrwow
607
edited Nov 25 '18 at 8:22
MaJoR
430111
asked Nov 25 '18 at 6:28
candrwowcandrwow
607
edited Nov 25 '18 at 8:22
MaJoR
430111
edited Nov 25 '18 at 8:22
MaJoR
430111
edited Nov 25 '18 at 8:22
MaJoR
430111
430111
asked Nov 25 '18 at 6:28
candrwowcandrwow
607
asked Nov 25 '18 at 6:28
candrwowcandrwow
607
asked Nov 25 '18 at 6:28
candrwowcandrwow
607
607
1
If you think the below answer worked for you, then please do not forget to select it as the right one by clicking on the 'tick' button.
– Shiv_90
Nov 25 '18 at 6:35
system tip me "You can accept an answer in 3 minutes" when i click this button,I don't know why
– candrwow
Nov 25 '18 at 6:42
Thats because of the timer. Come back anytime and select it the right one.
– Shiv_90
Nov 25 '18 at 6:44
add a comment |
1
If you think the below answer worked for you, then please do not forget to select it as the right one by clicking on the 'tick' button.
– Shiv_90
Nov 25 '18 at 6:35
system tip me "You can accept an answer in 3 minutes" when i click this button,I don't know why
– candrwow
Nov 25 '18 at 6:42
Thats because of the timer. Come back anytime and select it the right one.
– Shiv_90
Nov 25 '18 at 6:44
1
1
If you think the below answer worked for you, then please do not forget to select it as the right one by clicking on the 'tick' button.
– Shiv_90
Nov 25 '18 at 6:35
If you think the below answer worked for you, then please do not forget to select it as the right one by clicking on the 'tick' button.
– Shiv_90
Nov 25 '18 at 6:35
system tip me "You can accept an answer in 3 minutes" when i click this button,I don't know why
– candrwow
Nov 25 '18 at 6:42
system tip me "You can accept an answer in 3 minutes" when i click this button,I don't know why
– candrwow
Nov 25 '18 at 6:42
Thats because of the timer. Come back anytime and select it the right one.
– Shiv_90
Nov 25 '18 at 6:44
Thats because of the timer. Come back anytime and select it the right one.
– Shiv_90
Nov 25 '18 at 6:44
add a comment |
1 Answer
1
active
oldest
votes
1
Use sub with div and for select last value iat:
df = pd.DataFrame({
'a':[4,5,4,5,5,4],
'b':[7,8,9,4,2,3],
'c':[1,3,5,7,1,0],
'd':[5,3,6,9,2,10],
})
df['e'] = df['d'].sub(df['d'].iat[-1]).div(df['d'].iat[-1])
print (df)
a b c d e
0 4 7 1 5 -0.5
1 5 8 3 3 -0.7
2 4 9 5 6 -0.4
3 5 4 7 9 -0.1
4 5 2 1 2 -0.8
5 4 3 0 10 0.0
answered Nov 25 '18 at 6:30
jezraeljezrael
329k23270349
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
1
Use sub with div and for select last value iat:
df = pd.DataFrame({
'a':[4,5,4,5,5,4],
'b':[7,8,9,4,2,3],
'c':[1,3,5,7,1,0],
'd':[5,3,6,9,2,10],
})
df['e'] = df['d'].sub(df['d'].iat[-1]).div(df['d'].iat[-1])
print (df)
a b c d e
0 4 7 1 5 -0.5
1 5 8 3 3 -0.7
2 4 9 5 6 -0.4
3 5 4 7 9 -0.1
4 5 2 1 2 -0.8
5 4 3 0 10 0.0
answered Nov 25 '18 at 6:30
jezraeljezrael
329k23270349
add a comment |
1
Use sub with div and for select last value iat:
df = pd.DataFrame({
'a':[4,5,4,5,5,4],
'b':[7,8,9,4,2,3],
'c':[1,3,5,7,1,0],
'd':[5,3,6,9,2,10],
})
df['e'] = df['d'].sub(df['d'].iat[-1]).div(df['d'].iat[-1])
print (df)
a b c d e
0 4 7 1 5 -0.5
1 5 8 3 3 -0.7
2 4 9 5 6 -0.4
3 5 4 7 9 -0.1
4 5 2 1 2 -0.8
5 4 3 0 10 0.0
answered Nov 25 '18 at 6:30
jezraeljezrael
329k23270349
add a comment |
1
1
1
Use sub with div and for select last value iat:
df = pd.DataFrame({
'a':[4,5,4,5,5,4],
'b':[7,8,9,4,2,3],
'c':[1,3,5,7,1,0],
'd':[5,3,6,9,2,10],
})
df['e'] = df['d'].sub(df['d'].iat[-1]).div(df['d'].iat[-1])
print (df)
a b c d e
0 4 7 1 5 -0.5
1 5 8 3 3 -0.7
2 4 9 5 6 -0.4
3 5 4 7 9 -0.1
4 5 2 1 2 -0.8
5 4 3 0 10 0.0
answered Nov 25 '18 at 6:30
jezraeljezrael
329k23270349
Use sub with div and for select last value iat:
df = pd.DataFrame({
'a':[4,5,4,5,5,4],
'b':[7,8,9,4,2,3],
'c':[1,3,5,7,1,0],
'd':[5,3,6,9,2,10],
})
df['e'] = df['d'].sub(df['d'].iat[-1]).div(df['d'].iat[-1])
print (df)
a b c d e
0 4 7 1 5 -0.5
1 5 8 3 3 -0.7
2 4 9 5 6 -0.4
3 5 4 7 9 -0.1
4 5 2 1 2 -0.8
5 4 3 0 10 0.0
answered Nov 25 '18 at 6:30
jezraeljezrael
329k23270349
edited Nov 25 '18 at 6:33
answered Nov 25 '18 at 6:30
jezraeljezrael
329k23270349
answered Nov 25 '18 at 6:30
jezraeljezrael
329k23270349
answered Nov 25 '18 at 6:30
jezraeljezrael
329k23270349
329k23270349
add a comment |
add a comment |
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1
If you think the below answer worked for you, then please do not forget to select it as the right one by clicking on the 'tick' button.
– Shiv_90
Nov 25 '18 at 6:35
system tip me "You can accept an answer in 3 minutes" when i click this button,I don't know why
– candrwow
Nov 25 '18 at 6:42
Thats because of the timer. Come back anytime and select it the right one.
– Shiv_90
Nov 25 '18 at 6:44