Need help in Python Pivot table group by
-2
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 '18 at 7:29
enamoria
646722
asked Nov 21 '18 at 6:51
SheriffSheriff
458
add a comment |
-2
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 '18 at 7:29
enamoria
646722
asked Nov 21 '18 at 6:51
SheriffSheriff
458
2
Please paste the data, or at least, add a description for images
– Dorian Turba
Nov 21 '18 at 7:09
@ Dorian,Image 1 Details :
– Sheriff
Nov 21 '18 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 '18 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 '18 at 7:16
Please make sure there is a copy-pastable code which creates the dataframes.
– Martin Thoma
Nov 21 '18 at 7:58
add a comment |
-2
-2
-2
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 '18 at 7:29
enamoria
646722
asked Nov 21 '18 at 6:51
SheriffSheriff
458
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 '18 at 7:29
enamoria
646722
asked Nov 21 '18 at 6:51
SheriffSheriff
458
edited Nov 21 '18 at 7:29
enamoria
646722
asked Nov 21 '18 at 6:51
SheriffSheriff
458
edited Nov 21 '18 at 7:29
enamoria
646722
edited Nov 21 '18 at 7:29
enamoria
646722
edited Nov 21 '18 at 7:29
enamoria
646722
646722
asked Nov 21 '18 at 6:51
SheriffSheriff
458
asked Nov 21 '18 at 6:51
SheriffSheriff
458
asked Nov 21 '18 at 6:51
SheriffSheriff
458
458
2
Please paste the data, or at least, add a description for images
– Dorian Turba
Nov 21 '18 at 7:09
@ Dorian,Image 1 Details :
– Sheriff
Nov 21 '18 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 '18 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 '18 at 7:16
Please make sure there is a copy-pastable code which creates the dataframes.
– Martin Thoma
Nov 21 '18 at 7:58
add a comment |
2
Please paste the data, or at least, add a description for images
– Dorian Turba
Nov 21 '18 at 7:09
@ Dorian,Image 1 Details :
– Sheriff
Nov 21 '18 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 '18 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 '18 at 7:16
Please make sure there is a copy-pastable code which creates the dataframes.
– Martin Thoma
Nov 21 '18 at 7:58
2
2
Please paste the data, or at least, add a description for images
– Dorian Turba
Nov 21 '18 at 7:09
Please paste the data, or at least, add a description for images
– Dorian Turba
Nov 21 '18 at 7:09
@ Dorian,Image 1 Details :
– Sheriff
Nov 21 '18 at 7:12
@ Dorian,Image 1 Details :
– Sheriff
Nov 21 '18 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 '18 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 '18 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 '18 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 '18 at 7:16
Please make sure there is a copy-pastable code which creates the dataframes.
– Martin Thoma
Nov 21 '18 at 7:58
Please make sure there is a copy-pastable code which creates the dataframes.
– Martin Thoma
Nov 21 '18 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 '18 at 7:55
leoburgyleoburgy
1107
I am not sure, as i m bit new to python, i am looking out for the code.
– Sheriff
Nov 21 '18 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 '18 at 8:18
@Sheriff: Updated answer with code.
– leoburgy
Nov 21 '18 at 8:18
@leoburgy, it happens :-)
– pygo
Nov 21 '18 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 '18 at 8:33
|
show 2 more comments
Your Answer
StackExchange.ifUsing("editor", function () {
StackExchange.using("externalEditor", function () {
StackExchange.using("snippets", function () {
StackExchange.snippets.init();
});
});
}, "code-snippets");
StackExchange.ready(function() {
var channelOptions = {
tags: "".split(" "),
id: "1"
};
initTagRenderer("".split(" "), "".split(" "), channelOptions);
StackExchange.using("externalEditor", function() {
// Have to fire editor after snippets, if snippets enabled
if (StackExchange.settings.snippets.snippetsEnabled) {
StackExchange.using("snippets", function() {
createEditor();
});
}
else {
createEditor();
}
});
function createEditor() {
StackExchange.prepareEditor({
heartbeatType: 'answer',
autoActivateHeartbeat: false,
convertImagesToLinks: true,
noModals: true,
showLowRepImageUploadWarning: true,
reputationToPostImages: 10,
bindNavPrevention: true,
postfix: "",
imageUploader: {
brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/3.0/"u003ecc by-sa 3.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
allowUrls: true
},
onDemand: true,
discardSelector: ".discard-answer"
,immediatelyShowMarkdownHelp:true
});
}
});
draft saved
draft discarded
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f53406656%2fneed-help-in-python-pivot-table-group-by%23new-answer', 'question_page');
}
);
Post as a guest
Required, but never shown
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 '18 at 7:55
leoburgyleoburgy
1107
I am not sure, as i m bit new to python, i am looking out for the code.
– Sheriff
Nov 21 '18 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 '18 at 8:18
@Sheriff: Updated answer with code.
– leoburgy
Nov 21 '18 at 8:18
@leoburgy, it happens :-)
– pygo
Nov 21 '18 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 '18 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 '18 at 7:55
leoburgyleoburgy
1107
I am not sure, as i m bit new to python, i am looking out for the code.
– Sheriff
Nov 21 '18 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 '18 at 8:18
@Sheriff: Updated answer with code.
– leoburgy
Nov 21 '18 at 8:18
@leoburgy, it happens :-)
– pygo
Nov 21 '18 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 '18 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 '18 at 7:55
leoburgyleoburgy
1107
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 '18 at 7:55
leoburgyleoburgy
1107
edited Nov 21 '18 at 8:19
answered Nov 21 '18 at 7:55
leoburgyleoburgy
1107
answered Nov 21 '18 at 7:55
leoburgyleoburgy
1107
answered Nov 21 '18 at 7:55
leoburgyleoburgy
1107
1107
I am not sure, as i m bit new to python, i am looking out for the code.
– Sheriff
Nov 21 '18 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 '18 at 8:18
@Sheriff: Updated answer with code.
– leoburgy
Nov 21 '18 at 8:18
@leoburgy, it happens :-)
– pygo
Nov 21 '18 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 '18 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 '18 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 '18 at 8:18
@Sheriff: Updated answer with code.
– leoburgy
Nov 21 '18 at 8:18
@leoburgy, it happens :-)
– pygo
Nov 21 '18 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 '18 at 8:33
I am not sure, as i m bit new to python, i am looking out for the code.
– Sheriff
Nov 21 '18 at 8:03
I am not sure, as i m bit new to python, i am looking out for the code.
– Sheriff
Nov 21 '18 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 '18 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 '18 at 8:18
@Sheriff: Updated answer with code.
– leoburgy
Nov 21 '18 at 8:18
@Sheriff: Updated answer with code.
– leoburgy
Nov 21 '18 at 8:18
@leoburgy, it happens :-)
– pygo
Nov 21 '18 at 8:21
@leoburgy, it happens :-)
– pygo
Nov 21 '18 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 '18 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 '18 at 8:33
|
show 2 more comments
draft saved
draft discarded
Thanks for contributing an answer to Stack Overflow!
- Please be sure to answer the question. Provide details and share your research!
But avoid …
- Asking for help, clarification, or responding to other answers.
- Making statements based on opinion; back them up with references or personal experience.
To learn more, see our tips on writing great answers.
draft saved
draft discarded
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f53406656%2fneed-help-in-python-pivot-table-group-by%23new-answer', 'question_page');
}
);
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
2
Please paste the data, or at least, add a description for images
– Dorian Turba
Nov 21 '18 at 7:09
@ Dorian,Image 1 Details :
– Sheriff
Nov 21 '18 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 '18 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 '18 at 7:16
Please make sure there is a copy-pastable code which creates the dataframes.
– Martin Thoma
Nov 21 '18 at 7:58