Create a new column based on the values of the column by ID
Please help me solve this problem. I searched online but couldn’t find the solution.
df
Id Fruit
1 Apple
1 Carrot
2 Apple
3 Carrot
list = [fruit, vegetable, both]
The question is, how to assign for each id, if id’s fruit column contains apple or carrot the list. If id contains apple then assign ID 1 fruit, if carrot only, then vegetable, if both then both.
I tried to use str.contains by row, but it doesn’t take ID column.
Result
Newdf
Id Fruit New_col
1 Apple Both
1 Carrot Both
2 Apple Fruit
3 Carrot Vegetable
Thank you a lot.
python pandas
asked Nov 21 at 3:04
Pythonista
224
add a comment |
Please help me solve this problem. I searched online but couldn’t find the solution.
df
Id Fruit
1 Apple
1 Carrot
2 Apple
3 Carrot
list = [fruit, vegetable, both]
The question is, how to assign for each id, if id’s fruit column contains apple or carrot the list. If id contains apple then assign ID 1 fruit, if carrot only, then vegetable, if both then both.
I tried to use str.contains by row, but it doesn’t take ID column.
Result
Newdf
Id Fruit New_col
1 Apple Both
1 Carrot Both
2 Apple Fruit
3 Carrot Vegetable
Thank you a lot.
python pandas
asked Nov 21 at 3:04
Pythonista
224
add a comment |
Please help me solve this problem. I searched online but couldn’t find the solution.
df
Id Fruit
1 Apple
1 Carrot
2 Apple
3 Carrot
list = [fruit, vegetable, both]
The question is, how to assign for each id, if id’s fruit column contains apple or carrot the list. If id contains apple then assign ID 1 fruit, if carrot only, then vegetable, if both then both.
I tried to use str.contains by row, but it doesn’t take ID column.
Result
Newdf
Id Fruit New_col
1 Apple Both
1 Carrot Both
2 Apple Fruit
3 Carrot Vegetable
Thank you a lot.
python pandas
asked Nov 21 at 3:04
Pythonista
224
Please help me solve this problem. I searched online but couldn’t find the solution.
df
Id Fruit
1 Apple
1 Carrot
2 Apple
3 Carrot
list = [fruit, vegetable, both]
The question is, how to assign for each id, if id’s fruit column contains apple or carrot the list. If id contains apple then assign ID 1 fruit, if carrot only, then vegetable, if both then both.
I tried to use str.contains by row, but it doesn’t take ID column.
Result
Newdf
Id Fruit New_col
1 Apple Both
1 Carrot Both
2 Apple Fruit
3 Carrot Vegetable
Thank you a lot.
python pandas
python pandas
asked Nov 21 at 3:04
Pythonista
224
asked Nov 21 at 3:04
Pythonista
224
asked Nov 21 at 3:04
Pythonista
224
asked Nov 21 at 3:04
Pythonista
224
asked Nov 21 at 3:04
Pythonista
224
224
add a comment |
add a comment |
1 Answer
1
active
oldest
votes
Doing map first , then we just using transform nunqiue finding the the position should be 'both'
s=df.Fruit.map({'Apple':'Fruit','Carrot':'Vegetable'})
mask=s.groupby(df.Id).transform('nunique').eq(2)
s[mask]='both'
df['New']=s
df
Out[190]:
Id Fruit New
0 1 Apple both
1 1 Carrot both
2 2 Apple Fruit
3 3 Carrot Vegetable
answered Nov 21 at 3:11
W-B
99.9k73163
add a comment |
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%2f53404704%2fcreate-a-new-column-based-on-the-values-of-the-column-by-id%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
Doing map first , then we just using transform nunqiue finding the the position should be 'both'
s=df.Fruit.map({'Apple':'Fruit','Carrot':'Vegetable'})
mask=s.groupby(df.Id).transform('nunique').eq(2)
s[mask]='both'
df['New']=s
df
Out[190]:
Id Fruit New
0 1 Apple both
1 1 Carrot both
2 2 Apple Fruit
3 3 Carrot Vegetable
answered Nov 21 at 3:11
W-B
99.9k73163
add a comment |
Doing map first , then we just using transform nunqiue finding the the position should be 'both'
s=df.Fruit.map({'Apple':'Fruit','Carrot':'Vegetable'})
mask=s.groupby(df.Id).transform('nunique').eq(2)
s[mask]='both'
df['New']=s
df
Out[190]:
Id Fruit New
0 1 Apple both
1 1 Carrot both
2 2 Apple Fruit
3 3 Carrot Vegetable
answered Nov 21 at 3:11
W-B
99.9k73163
add a comment |
Doing map first , then we just using transform nunqiue finding the the position should be 'both'
s=df.Fruit.map({'Apple':'Fruit','Carrot':'Vegetable'})
mask=s.groupby(df.Id).transform('nunique').eq(2)
s[mask]='both'
df['New']=s
df
Out[190]:
Id Fruit New
0 1 Apple both
1 1 Carrot both
2 2 Apple Fruit
3 3 Carrot Vegetable
answered Nov 21 at 3:11
W-B
99.9k73163
Doing map first , then we just using transform nunqiue finding the the position should be 'both'
s=df.Fruit.map({'Apple':'Fruit','Carrot':'Vegetable'})
mask=s.groupby(df.Id).transform('nunique').eq(2)
s[mask]='both'
df['New']=s
df
Out[190]:
Id Fruit New
0 1 Apple both
1 1 Carrot both
2 2 Apple Fruit
3 3 Carrot Vegetable
answered Nov 21 at 3:11
W-B
99.9k73163
answered Nov 21 at 3:11
W-B
99.9k73163
answered Nov 21 at 3:11
W-B
99.9k73163
answered Nov 21 at 3:11
W-B
99.9k73163
99.9k73163
add a comment |
add a comment |
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.
Some of your past answers have not been well-received, and you're in danger of being blocked from answering.
Please pay close attention to the following guidance:
- 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%2f53404704%2fcreate-a-new-column-based-on-the-values-of-the-column-by-id%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
