Need help in Python Pivot table group by
-1
I have the a dataframe something like the below struture :
I need to make it look it as this :
Can any one help pls ?
python pivot pandas-groupby
edited Nov 21 at 7:29
enamoria
606521
asked Nov 21 at 6:51
Sheriff
185
add a comment |
-1
I have the a dataframe something like the below struture :
I need to make it look it as this :
Can any one help pls ?
python pivot pandas-groupby
edited Nov 21 at 7:29
enamoria
606521
asked Nov 21 at 6:51
Sheriff
185
2
Please paste the data, or at least, add a description for images
– Dorian Turba
Nov 21 at 7:09
@ Dorian,Image 1 Details :
– Sheriff
Nov 21 at 7:12
Image 1 : Self understood Image 2 : 1. Need to group by Customer, Grp code 2. Print the summary of Grp code for each Customer 3. Like : Total Sum of each Gap code, with individual sum of Ind code 4. Also the Percentage of each Grp code with regards to the total amount of each customer
– Sheriff
Nov 21 at 7:16
@DorianTurba, If any more details, require kindly mention. As i need to close this code at the earliest. Thanks in advance
– Sheriff
Nov 21 at 7:16
Please make sure there is a copy-pastable code which creates the dataframes.
– Martin Thoma
Nov 21 at 7:58
add a comment |
-1
-1
-1
I have the a dataframe something like the below struture :
I need to make it look it as this :
Can any one help pls ?
python pivot pandas-groupby
edited Nov 21 at 7:29
enamoria
606521
asked Nov 21 at 6:51
Sheriff
185
I have the a dataframe something like the below struture :
I need to make it look it as this :
Can any one help pls ?
python pivot pandas-groupby
python pivot pandas-groupby
edited Nov 21 at 7:29
enamoria
606521
asked Nov 21 at 6:51
Sheriff
185
edited Nov 21 at 7:29
enamoria
606521
asked Nov 21 at 6:51
Sheriff
185
edited Nov 21 at 7:29
enamoria
606521
edited Nov 21 at 7:29
enamoria
606521
edited Nov 21 at 7:29
enamoria
606521
606521
asked Nov 21 at 6:51
Sheriff
185
asked Nov 21 at 6:51
Sheriff
185
asked Nov 21 at 6:51
Sheriff
185
185
2
Please paste the data, or at least, add a description for images
– Dorian Turba
Nov 21 at 7:09
@ Dorian,Image 1 Details :
– Sheriff
Nov 21 at 7:12
Image 1 : Self understood Image 2 : 1. Need to group by Customer, Grp code 2. Print the summary of Grp code for each Customer 3. Like : Total Sum of each Gap code, with individual sum of Ind code 4. Also the Percentage of each Grp code with regards to the total amount of each customer
– Sheriff
Nov 21 at 7:16
@DorianTurba, If any more details, require kindly mention. As i need to close this code at the earliest. Thanks in advance
– Sheriff
Nov 21 at 7:16
Please make sure there is a copy-pastable code which creates the dataframes.
– Martin Thoma
Nov 21 at 7:58
add a comment |
2
Please paste the data, or at least, add a description for images
– Dorian Turba
Nov 21 at 7:09
@ Dorian,Image 1 Details :
– Sheriff
Nov 21 at 7:12
Image 1 : Self understood Image 2 : 1. Need to group by Customer, Grp code 2. Print the summary of Grp code for each Customer 3. Like : Total Sum of each Gap code, with individual sum of Ind code 4. Also the Percentage of each Grp code with regards to the total amount of each customer
– Sheriff
Nov 21 at 7:16
@DorianTurba, If any more details, require kindly mention. As i need to close this code at the earliest. Thanks in advance
– Sheriff
Nov 21 at 7:16
Please make sure there is a copy-pastable code which creates the dataframes.
– Martin Thoma
Nov 21 at 7:58
2
2
Please paste the data, or at least, add a description for images
– Dorian Turba
Nov 21 at 7:09
Please paste the data, or at least, add a description for images
– Dorian Turba
Nov 21 at 7:09
@ Dorian,Image 1 Details :
– Sheriff
Nov 21 at 7:12
@ Dorian,Image 1 Details :
– Sheriff
Nov 21 at 7:12
Image 1 : Self understood Image 2 : 1. Need to group by Customer, Grp code 2. Print the summary of Grp code for each Customer 3. Like : Total Sum of each Gap code, with individual sum of Ind code 4. Also the Percentage of each Grp code with regards to the total amount of each customer
– Sheriff
Nov 21 at 7:16
Image 1 : Self understood Image 2 : 1. Need to group by Customer, Grp code 2. Print the summary of Grp code for each Customer 3. Like : Total Sum of each Gap code, with individual sum of Ind code 4. Also the Percentage of each Grp code with regards to the total amount of each customer
– Sheriff
Nov 21 at 7:16
@DorianTurba, If any more details, require kindly mention. As i need to close this code at the earliest. Thanks in advance
– Sheriff
Nov 21 at 7:16
@DorianTurba, If any more details, require kindly mention. As i need to close this code at the earliest. Thanks in advance
– Sheriff
Nov 21 at 7:16
Please make sure there is a copy-pastable code which creates the dataframes.
– Martin Thoma
Nov 21 at 7:58
Please make sure there is a copy-pastable code which creates the dataframes.
– Martin Thoma
Nov 21 at 7:58
add a comment |
1 Answer
1
active
oldest
votes
0
You can use the groupby() function with a list and append summarising functions with agg().
import pandas as pd
df = pd.DataFrame({'customer': [1,2,1,3,1,2,3],
"group_code": ['111', '111', '222', '111', '111', '111', '333'],
"ind_code": ['A', 'B', 'AA', 'A', 'AAA', 'C', 'BBB'],
"amount": [100, 200, 140, 400, 225, 125, 600],
"card": ['XXX', 'YYY', 'YYY', 'XXX', 'XXX', 'YYY', 'XXX']})
df_groupby = df.groupby(['customer', 'group_code', 'ind_code']).agg(['count', 'mean'])
answered Nov 21 at 7:55
leoburgy
1086
I am not sure, as i m bit new to python, i am looking out for the code.
– Sheriff
Nov 21 at 8:03
@Sheriff, you need to have pandas installed on your system and then you can try import likeimport pandas as pdand then try the code provided by @leoburgy
– pygo
Nov 21 at 8:18
@Sheriff: Updated answer with code.
– leoburgy
Nov 21 at 8:18
@leoburgy, it happens :-)
– pygo
Nov 21 at 8:21
@leoburgy, Thanks it has solved a part of my job. Actually i wanted the "Percentage of each Group code Amount against the total amount spent by a customer". Say in our case Customer 1 has 2 group codes - 111 and 222. Total amount spent by customer 1 against this 2 group codes is (100+225)+140 = 465.
– Sheriff
Nov 21 at 8:33
|
show 2 more comments
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
0
You can use the groupby() function with a list and append summarising functions with agg().
import pandas as pd
df = pd.DataFrame({'customer': [1,2,1,3,1,2,3],
"group_code": ['111', '111', '222', '111', '111', '111', '333'],
"ind_code": ['A', 'B', 'AA', 'A', 'AAA', 'C', 'BBB'],
"amount": [100, 200, 140, 400, 225, 125, 600],
"card": ['XXX', 'YYY', 'YYY', 'XXX', 'XXX', 'YYY', 'XXX']})
df_groupby = df.groupby(['customer', 'group_code', 'ind_code']).agg(['count', 'mean'])
answered Nov 21 at 7:55
leoburgy
1086
I am not sure, as i m bit new to python, i am looking out for the code.
– Sheriff
Nov 21 at 8:03
@Sheriff, you need to have pandas installed on your system and then you can try import likeimport pandas as pdand then try the code provided by @leoburgy
– pygo
Nov 21 at 8:18
@Sheriff: Updated answer with code.
– leoburgy
Nov 21 at 8:18
@leoburgy, it happens :-)
– pygo
Nov 21 at 8:21
@leoburgy, Thanks it has solved a part of my job. Actually i wanted the "Percentage of each Group code Amount against the total amount spent by a customer". Say in our case Customer 1 has 2 group codes - 111 and 222. Total amount spent by customer 1 against this 2 group codes is (100+225)+140 = 465.
– Sheriff
Nov 21 at 8:33
|
show 2 more comments
0
You can use the groupby() function with a list and append summarising functions with agg().
import pandas as pd
df = pd.DataFrame({'customer': [1,2,1,3,1,2,3],
"group_code": ['111', '111', '222', '111', '111', '111', '333'],
"ind_code": ['A', 'B', 'AA', 'A', 'AAA', 'C', 'BBB'],
"amount": [100, 200, 140, 400, 225, 125, 600],
"card": ['XXX', 'YYY', 'YYY', 'XXX', 'XXX', 'YYY', 'XXX']})
df_groupby = df.groupby(['customer', 'group_code', 'ind_code']).agg(['count', 'mean'])
answered Nov 21 at 7:55
leoburgy
1086
I am not sure, as i m bit new to python, i am looking out for the code.
– Sheriff
Nov 21 at 8:03
@Sheriff, you need to have pandas installed on your system and then you can try import likeimport pandas as pdand then try the code provided by @leoburgy
– pygo
Nov 21 at 8:18
@Sheriff: Updated answer with code.
– leoburgy
Nov 21 at 8:18
@leoburgy, it happens :-)
– pygo
Nov 21 at 8:21
@leoburgy, Thanks it has solved a part of my job. Actually i wanted the "Percentage of each Group code Amount against the total amount spent by a customer". Say in our case Customer 1 has 2 group codes - 111 and 222. Total amount spent by customer 1 against this 2 group codes is (100+225)+140 = 465.
– Sheriff
Nov 21 at 8:33
|
show 2 more comments
0
0
0
You can use the groupby() function with a list and append summarising functions with agg().
import pandas as pd
df = pd.DataFrame({'customer': [1,2,1,3,1,2,3],
"group_code": ['111', '111', '222', '111', '111', '111', '333'],
"ind_code": ['A', 'B', 'AA', 'A', 'AAA', 'C', 'BBB'],
"amount": [100, 200, 140, 400, 225, 125, 600],
"card": ['XXX', 'YYY', 'YYY', 'XXX', 'XXX', 'YYY', 'XXX']})
df_groupby = df.groupby(['customer', 'group_code', 'ind_code']).agg(['count', 'mean'])
answered Nov 21 at 7:55
leoburgy
1086
You can use the groupby() function with a list and append summarising functions with agg().
import pandas as pd
df = pd.DataFrame({'customer': [1,2,1,3,1,2,3],
"group_code": ['111', '111', '222', '111', '111', '111', '333'],
"ind_code": ['A', 'B', 'AA', 'A', 'AAA', 'C', 'BBB'],
"amount": [100, 200, 140, 400, 225, 125, 600],
"card": ['XXX', 'YYY', 'YYY', 'XXX', 'XXX', 'YYY', 'XXX']})
df_groupby = df.groupby(['customer', 'group_code', 'ind_code']).agg(['count', 'mean'])
answered Nov 21 at 7:55
leoburgy
1086
edited Nov 21 at 8:19
answered Nov 21 at 7:55
leoburgy
1086
answered Nov 21 at 7:55
leoburgy
1086
answered Nov 21 at 7:55
leoburgy
1086
1086
I am not sure, as i m bit new to python, i am looking out for the code.
– Sheriff
Nov 21 at 8:03
@Sheriff, you need to have pandas installed on your system and then you can try import likeimport pandas as pdand then try the code provided by @leoburgy
– pygo
Nov 21 at 8:18
@Sheriff: Updated answer with code.
– leoburgy
Nov 21 at 8:18
@leoburgy, it happens :-)
– pygo
Nov 21 at 8:21
@leoburgy, Thanks it has solved a part of my job. Actually i wanted the "Percentage of each Group code Amount against the total amount spent by a customer". Say in our case Customer 1 has 2 group codes - 111 and 222. Total amount spent by customer 1 against this 2 group codes is (100+225)+140 = 465.
– Sheriff
Nov 21 at 8:33
|
show 2 more comments
I am not sure, as i m bit new to python, i am looking out for the code.
– Sheriff
Nov 21 at 8:03
@Sheriff, you need to have pandas installed on your system and then you can try import likeimport pandas as pdand then try the code provided by @leoburgy
– pygo
Nov 21 at 8:18
@Sheriff: Updated answer with code.
– leoburgy
Nov 21 at 8:18
@leoburgy, it happens :-)
– pygo
Nov 21 at 8:21
@leoburgy, Thanks it has solved a part of my job. Actually i wanted the "Percentage of each Group code Amount against the total amount spent by a customer". Say in our case Customer 1 has 2 group codes - 111 and 222. Total amount spent by customer 1 against this 2 group codes is (100+225)+140 = 465.
– Sheriff
Nov 21 at 8:33
I am not sure, as i m bit new to python, i am looking out for the code.
– Sheriff
Nov 21 at 8:03
I am not sure, as i m bit new to python, i am looking out for the code.
– Sheriff
Nov 21 at 8:03
@Sheriff, you need to have pandas installed on your system and then you can try import like
import pandas as pd and then try the code provided by @leoburgy– pygo
Nov 21 at 8:18
@Sheriff, you need to have pandas installed on your system and then you can try import like
import pandas as pd and then try the code provided by @leoburgy– pygo
Nov 21 at 8:18
@Sheriff: Updated answer with code.
– leoburgy
Nov 21 at 8:18
@Sheriff: Updated answer with code.
– leoburgy
Nov 21 at 8:18
@leoburgy, it happens :-)
– pygo
Nov 21 at 8:21
@leoburgy, it happens :-)
– pygo
Nov 21 at 8:21
@leoburgy, Thanks it has solved a part of my job. Actually i wanted the "Percentage of each Group code Amount against the total amount spent by a customer". Say in our case Customer 1 has 2 group codes - 111 and 222. Total amount spent by customer 1 against this 2 group codes is (100+225)+140 = 465.
– Sheriff
Nov 21 at 8:33
@leoburgy, Thanks it has solved a part of my job. Actually i wanted the "Percentage of each Group code Amount against the total amount spent by a customer". Say in our case Customer 1 has 2 group codes - 111 and 222. Total amount spent by customer 1 against this 2 group codes is (100+225)+140 = 465.
– Sheriff
Nov 21 at 8:33
|
show 2 more comments
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2
Please paste the data, or at least, add a description for images
– Dorian Turba
Nov 21 at 7:09
@ Dorian,Image 1 Details :
– Sheriff
Nov 21 at 7:12
Image 1 : Self understood Image 2 : 1. Need to group by Customer, Grp code 2. Print the summary of Grp code for each Customer 3. Like : Total Sum of each Gap code, with individual sum of Ind code 4. Also the Percentage of each Grp code with regards to the total amount of each customer
– Sheriff
Nov 21 at 7:16
@DorianTurba, If any more details, require kindly mention. As i need to close this code at the earliest. Thanks in advance
– Sheriff
Nov 21 at 7:16
Please make sure there is a copy-pastable code which creates the dataframes.
– Martin Thoma
Nov 21 at 7:58