Pandas groupby with numpy array_split take to much time
I'm working on to get a lots of rows out around 2.000.000 rows where i'm group it on a single columen.
Its working fine so long, but when i'm in Python3 try to make a Numpy array_split its take for ever to load in, its take so long time i can't keep waiting on it when i testing.
Normal if i'm not using groupby in Pandas its take few sec, but now when i'm using groupby('columen') i can't easy split my dataframe enymore.
def parallelize(data, func):
data_split = np.array_split(data, partitions)
pool = Pool(cores)
data = pd.concat(pool.map(func, data_split))
pool.close()
pool.join()
return data
You can se i'm trying to make multithread to handle my functions even faster.
when i uncomment my groupby function in Pandas its working smooth, so its my groupby and then array_split there make troblese.
python pandas numpy dataframe
asked Nov 21 '18 at 12:08
ParisNakitaKejserParisNakitaKejser
2,43983554
migrated from datascience.stackexchange.com Nov 21 '18 at 19:17
This question came from our site for Data science professionals, Machine Learning specialists, and those interested in learning more about the field.
add a comment |
I'm working on to get a lots of rows out around 2.000.000 rows where i'm group it on a single columen.
Its working fine so long, but when i'm in Python3 try to make a Numpy array_split its take for ever to load in, its take so long time i can't keep waiting on it when i testing.
Normal if i'm not using groupby in Pandas its take few sec, but now when i'm using groupby('columen') i can't easy split my dataframe enymore.
def parallelize(data, func):
data_split = np.array_split(data, partitions)
pool = Pool(cores)
data = pd.concat(pool.map(func, data_split))
pool.close()
pool.join()
return data
You can se i'm trying to make multithread to handle my functions even faster.
when i uncomment my groupby function in Pandas its working smooth, so its my groupby and then array_split there make troblese.
python pandas numpy dataframe
asked Nov 21 '18 at 12:08
ParisNakitaKejserParisNakitaKejser
2,43983554
migrated from datascience.stackexchange.com Nov 21 '18 at 19:17
This question came from our site for Data science professionals, Machine Learning specialists, and those interested in learning more about the field.
add a comment |
I'm working on to get a lots of rows out around 2.000.000 rows where i'm group it on a single columen.
Its working fine so long, but when i'm in Python3 try to make a Numpy array_split its take for ever to load in, its take so long time i can't keep waiting on it when i testing.
Normal if i'm not using groupby in Pandas its take few sec, but now when i'm using groupby('columen') i can't easy split my dataframe enymore.
def parallelize(data, func):
data_split = np.array_split(data, partitions)
pool = Pool(cores)
data = pd.concat(pool.map(func, data_split))
pool.close()
pool.join()
return data
You can se i'm trying to make multithread to handle my functions even faster.
when i uncomment my groupby function in Pandas its working smooth, so its my groupby and then array_split there make troblese.
python pandas numpy dataframe
asked Nov 21 '18 at 12:08
ParisNakitaKejserParisNakitaKejser
2,43983554
I'm working on to get a lots of rows out around 2.000.000 rows where i'm group it on a single columen.
Its working fine so long, but when i'm in Python3 try to make a Numpy array_split its take for ever to load in, its take so long time i can't keep waiting on it when i testing.
Normal if i'm not using groupby in Pandas its take few sec, but now when i'm using groupby('columen') i can't easy split my dataframe enymore.
def parallelize(data, func):
data_split = np.array_split(data, partitions)
pool = Pool(cores)
data = pd.concat(pool.map(func, data_split))
pool.close()
pool.join()
return data
You can se i'm trying to make multithread to handle my functions even faster.
when i uncomment my groupby function in Pandas its working smooth, so its my groupby and then array_split there make troblese.
python pandas numpy dataframe
python pandas numpy dataframe
asked Nov 21 '18 at 12:08
ParisNakitaKejserParisNakitaKejser
2,43983554
asked Nov 21 '18 at 12:08
ParisNakitaKejserParisNakitaKejser
2,43983554
asked Nov 21 '18 at 12:08
ParisNakitaKejserParisNakitaKejser
2,43983554
asked Nov 21 '18 at 12:08
ParisNakitaKejserParisNakitaKejser
2,43983554
asked Nov 21 '18 at 12:08
ParisNakitaKejserParisNakitaKejser
2,43983554
2,43983554
migrated from datascience.stackexchange.com Nov 21 '18 at 19:17
This question came from our site for Data science professionals, Machine Learning specialists, and those interested in learning more about the field.
migrated from datascience.stackexchange.com Nov 21 '18 at 19:17
This question came from our site for Data science professionals, Machine Learning specialists, and those interested in learning more about the field.
add a comment |
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%2f53419122%2fpandas-groupby-with-numpy-array-split-take-to-much-time%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%2f53419122%2fpandas-groupby-with-numpy-array-split-take-to-much-time%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
