Get values from multiindex object in pandas
I have dataframe like this:
--------------------------------
|customer_id | item_id | action|
--------------------------------
|7 | 1 | view |
--------------------------------
|7 | 1 | view |
--------------------------------
|7 | 1 | buy |
--------------------------------
|3 | 5 | view |
--------------------------------
|3 | 5 | view |
--------------------------------
I am using pandas and I want to have dataframe, in which for every customer there will be every item_id with view and buy count. I did something like this:
my_results = result.groupby(['customer_id','item_id','action']).agg({'action': 'count'})
I got something like this:
--------------------------------------
action
--------------------------------------
|customer_id | item_id | action| |
--------------------------------------
|7 | 1 | view | 3|
| -------------------------
| | 1 | buy | 1|
--------------------------------------
|3 | 5 | view | 2|
--------------------------------------
Can someone help me how to get list of items for every customer and than number of views for every item in pandas ?
python pandas dataframe
add a comment |
I have dataframe like this:
--------------------------------
|customer_id | item_id | action|
--------------------------------
|7 | 1 | view |
--------------------------------
|7 | 1 | view |
--------------------------------
|7 | 1 | buy |
--------------------------------
|3 | 5 | view |
--------------------------------
|3 | 5 | view |
--------------------------------
I am using pandas and I want to have dataframe, in which for every customer there will be every item_id with view and buy count. I did something like this:
my_results = result.groupby(['customer_id','item_id','action']).agg({'action': 'count'})
I got something like this:
--------------------------------------
action
--------------------------------------
|customer_id | item_id | action| |
--------------------------------------
|7 | 1 | view | 3|
| -------------------------
| | 1 | buy | 1|
--------------------------------------
|3 | 5 | view | 2|
--------------------------------------
Can someone help me how to get list of items for every customer and than number of views for every item in pandas ?
python pandas dataframe
Can you add expected output with numbers?
– jezrael
Nov 24 '18 at 12:58
I want to iterate over all items for customer 7 a return true or false if item 1 was viewed and if true I want also get int count of views of item 1.
– M. Barabas
Nov 24 '18 at 13:07
OK, so what is expected output from your sample data? How looks new DataFrame? Can you add it to question ?
– jezrael
Nov 24 '18 at 13:10
There are two tables in question which represents dataframe before and after grouby.
– M. Barabas
Nov 24 '18 at 13:13
It seems we dont understand each other. My problem is I dont know what needCan someone help me how to get list of items for every customer and than number of views for every item in pandas ?
so ask for expected output. You describe it comment but for me is not clear, what is your desired output, why you ask your question. Because it is notmy_results = result.groupby(['customer_id','item_id','action']).agg({'action': 'count'})
, it has to be something else...
– jezrael
Nov 24 '18 at 13:19
add a comment |
I have dataframe like this:
--------------------------------
|customer_id | item_id | action|
--------------------------------
|7 | 1 | view |
--------------------------------
|7 | 1 | view |
--------------------------------
|7 | 1 | buy |
--------------------------------
|3 | 5 | view |
--------------------------------
|3 | 5 | view |
--------------------------------
I am using pandas and I want to have dataframe, in which for every customer there will be every item_id with view and buy count. I did something like this:
my_results = result.groupby(['customer_id','item_id','action']).agg({'action': 'count'})
I got something like this:
--------------------------------------
action
--------------------------------------
|customer_id | item_id | action| |
--------------------------------------
|7 | 1 | view | 3|
| -------------------------
| | 1 | buy | 1|
--------------------------------------
|3 | 5 | view | 2|
--------------------------------------
Can someone help me how to get list of items for every customer and than number of views for every item in pandas ?
python pandas dataframe
I have dataframe like this:
--------------------------------
|customer_id | item_id | action|
--------------------------------
|7 | 1 | view |
--------------------------------
|7 | 1 | view |
--------------------------------
|7 | 1 | buy |
--------------------------------
|3 | 5 | view |
--------------------------------
|3 | 5 | view |
--------------------------------
I am using pandas and I want to have dataframe, in which for every customer there will be every item_id with view and buy count. I did something like this:
my_results = result.groupby(['customer_id','item_id','action']).agg({'action': 'count'})
I got something like this:
--------------------------------------
action
--------------------------------------
|customer_id | item_id | action| |
--------------------------------------
|7 | 1 | view | 3|
| -------------------------
| | 1 | buy | 1|
--------------------------------------
|3 | 5 | view | 2|
--------------------------------------
Can someone help me how to get list of items for every customer and than number of views for every item in pandas ?
python pandas dataframe
python pandas dataframe
edited Nov 24 '18 at 13:11
M. Barabas
asked Nov 24 '18 at 12:55
M. BarabasM. Barabas
197
197
Can you add expected output with numbers?
– jezrael
Nov 24 '18 at 12:58
I want to iterate over all items for customer 7 a return true or false if item 1 was viewed and if true I want also get int count of views of item 1.
– M. Barabas
Nov 24 '18 at 13:07
OK, so what is expected output from your sample data? How looks new DataFrame? Can you add it to question ?
– jezrael
Nov 24 '18 at 13:10
There are two tables in question which represents dataframe before and after grouby.
– M. Barabas
Nov 24 '18 at 13:13
It seems we dont understand each other. My problem is I dont know what needCan someone help me how to get list of items for every customer and than number of views for every item in pandas ?
so ask for expected output. You describe it comment but for me is not clear, what is your desired output, why you ask your question. Because it is notmy_results = result.groupby(['customer_id','item_id','action']).agg({'action': 'count'})
, it has to be something else...
– jezrael
Nov 24 '18 at 13:19
add a comment |
Can you add expected output with numbers?
– jezrael
Nov 24 '18 at 12:58
I want to iterate over all items for customer 7 a return true or false if item 1 was viewed and if true I want also get int count of views of item 1.
– M. Barabas
Nov 24 '18 at 13:07
OK, so what is expected output from your sample data? How looks new DataFrame? Can you add it to question ?
– jezrael
Nov 24 '18 at 13:10
There are two tables in question which represents dataframe before and after grouby.
– M. Barabas
Nov 24 '18 at 13:13
It seems we dont understand each other. My problem is I dont know what needCan someone help me how to get list of items for every customer and than number of views for every item in pandas ?
so ask for expected output. You describe it comment but for me is not clear, what is your desired output, why you ask your question. Because it is notmy_results = result.groupby(['customer_id','item_id','action']).agg({'action': 'count'})
, it has to be something else...
– jezrael
Nov 24 '18 at 13:19
Can you add expected output with numbers?
– jezrael
Nov 24 '18 at 12:58
Can you add expected output with numbers?
– jezrael
Nov 24 '18 at 12:58
I want to iterate over all items for customer 7 a return true or false if item 1 was viewed and if true I want also get int count of views of item 1.
– M. Barabas
Nov 24 '18 at 13:07
I want to iterate over all items for customer 7 a return true or false if item 1 was viewed and if true I want also get int count of views of item 1.
– M. Barabas
Nov 24 '18 at 13:07
OK, so what is expected output from your sample data? How looks new DataFrame? Can you add it to question ?
– jezrael
Nov 24 '18 at 13:10
OK, so what is expected output from your sample data? How looks new DataFrame? Can you add it to question ?
– jezrael
Nov 24 '18 at 13:10
There are two tables in question which represents dataframe before and after grouby.
– M. Barabas
Nov 24 '18 at 13:13
There are two tables in question which represents dataframe before and after grouby.
– M. Barabas
Nov 24 '18 at 13:13
It seems we dont understand each other. My problem is I dont know what need
Can someone help me how to get list of items for every customer and than number of views for every item in pandas ?
so ask for expected output. You describe it comment but for me is not clear, what is your desired output, why you ask your question. Because it is not my_results = result.groupby(['customer_id','item_id','action']).agg({'action': 'count'})
, it has to be something else...– jezrael
Nov 24 '18 at 13:19
It seems we dont understand each other. My problem is I dont know what need
Can someone help me how to get list of items for every customer and than number of views for every item in pandas ?
so ask for expected output. You describe it comment but for me is not clear, what is your desired output, why you ask your question. Because it is not my_results = result.groupby(['customer_id','item_id','action']).agg({'action': 'count'})
, it has to be something else...– jezrael
Nov 24 '18 at 13:19
add a comment |
0
active
oldest
votes
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
});
}
});
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%2f53458371%2fget-values-from-multiindex-object-in-pandas%23new-answer', 'question_page');
}
);
Post as a guest
Required, but never shown
0
active
oldest
votes
0
active
oldest
votes
active
oldest
votes
active
oldest
votes
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.
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%2f53458371%2fget-values-from-multiindex-object-in-pandas%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
Can you add expected output with numbers?
– jezrael
Nov 24 '18 at 12:58
I want to iterate over all items for customer 7 a return true or false if item 1 was viewed and if true I want also get int count of views of item 1.
– M. Barabas
Nov 24 '18 at 13:07
OK, so what is expected output from your sample data? How looks new DataFrame? Can you add it to question ?
– jezrael
Nov 24 '18 at 13:10
There are two tables in question which represents dataframe before and after grouby.
– M. Barabas
Nov 24 '18 at 13:13
It seems we dont understand each other. My problem is I dont know what need
Can someone help me how to get list of items for every customer and than number of views for every item in pandas ?
so ask for expected output. You describe it comment but for me is not clear, what is your desired output, why you ask your question. Because it is notmy_results = result.groupby(['customer_id','item_id','action']).agg({'action': 'count'})
, it has to be something else...– jezrael
Nov 24 '18 at 13:19