pandas from datetime64[ns] to object (python)
.everyoneloves__top-leaderboard:empty,.everyoneloves__mid-leaderboard:empty,.everyoneloves__bot-mid-leaderboard:empty{ height:90px;width:728px;box-sizing:border-box;
}
I have the code show below, where, after to convert the column closingdate from object to datetime an operate with it,and after to created a new column named 'start' with the results, I need to converted this column start from datetime to object , before to convert it to json.
If anyone can help I will highly appreciate it.Thanks in advance.
initial_data = sql(query1)
initial_data['closingdate'] = pd.to_datetime(initial_data.closingdate)
initial_data['start']=pd.to_datetime(initial_data.closingdate)+pd.to_timedelta(pd.np.ceil(initial_data.tenor1),unit='D')
initial_data=initial_data[['dealid','title','tranch_structure','start']]
initial_data['start']=pd.to_str(initial_data.start)
initial_data =initial_data.to_json(orient='table')
python pandas
edited Nov 16 '18 at 12:44
Kendas
670516
asked Nov 16 '18 at 12:29
serlomuserlomu
1
add a comment |
I have the code show below, where, after to convert the column closingdate from object to datetime an operate with it,and after to created a new column named 'start' with the results, I need to converted this column start from datetime to object , before to convert it to json.
If anyone can help I will highly appreciate it.Thanks in advance.
initial_data = sql(query1)
initial_data['closingdate'] = pd.to_datetime(initial_data.closingdate)
initial_data['start']=pd.to_datetime(initial_data.closingdate)+pd.to_timedelta(pd.np.ceil(initial_data.tenor1),unit='D')
initial_data=initial_data[['dealid','title','tranch_structure','start']]
initial_data['start']=pd.to_str(initial_data.start)
initial_data =initial_data.to_json(orient='table')
python pandas
edited Nov 16 '18 at 12:44
Kendas
670516
asked Nov 16 '18 at 12:29
serlomuserlomu
1
1
Please try to format your question respecting the 4 spaces ident for your code part, this will make your question much more readable.
– Matina G
Nov 16 '18 at 12:37
add a comment |
I have the code show below, where, after to convert the column closingdate from object to datetime an operate with it,and after to created a new column named 'start' with the results, I need to converted this column start from datetime to object , before to convert it to json.
If anyone can help I will highly appreciate it.Thanks in advance.
initial_data = sql(query1)
initial_data['closingdate'] = pd.to_datetime(initial_data.closingdate)
initial_data['start']=pd.to_datetime(initial_data.closingdate)+pd.to_timedelta(pd.np.ceil(initial_data.tenor1),unit='D')
initial_data=initial_data[['dealid','title','tranch_structure','start']]
initial_data['start']=pd.to_str(initial_data.start)
initial_data =initial_data.to_json(orient='table')
python pandas
edited Nov 16 '18 at 12:44
Kendas
670516
asked Nov 16 '18 at 12:29
serlomuserlomu
1
I have the code show below, where, after to convert the column closingdate from object to datetime an operate with it,and after to created a new column named 'start' with the results, I need to converted this column start from datetime to object , before to convert it to json.
If anyone can help I will highly appreciate it.Thanks in advance.
initial_data = sql(query1)
initial_data['closingdate'] = pd.to_datetime(initial_data.closingdate)
initial_data['start']=pd.to_datetime(initial_data.closingdate)+pd.to_timedelta(pd.np.ceil(initial_data.tenor1),unit='D')
initial_data=initial_data[['dealid','title','tranch_structure','start']]
initial_data['start']=pd.to_str(initial_data.start)
initial_data =initial_data.to_json(orient='table')
python pandas
python pandas
edited Nov 16 '18 at 12:44
Kendas
670516
asked Nov 16 '18 at 12:29
serlomuserlomu
1
edited Nov 16 '18 at 12:44
Kendas
670516
asked Nov 16 '18 at 12:29
serlomuserlomu
1
edited Nov 16 '18 at 12:44
Kendas
670516
edited Nov 16 '18 at 12:44
Kendas
670516
edited Nov 16 '18 at 12:44
Kendas
670516
670516
asked Nov 16 '18 at 12:29
serlomuserlomu
1
asked Nov 16 '18 at 12:29
serlomuserlomu
1
asked Nov 16 '18 at 12:29
serlomuserlomu
1
1
1
Please try to format your question respecting the 4 spaces ident for your code part, this will make your question much more readable.
– Matina G
Nov 16 '18 at 12:37
add a comment |
1
Please try to format your question respecting the 4 spaces ident for your code part, this will make your question much more readable.
– Matina G
Nov 16 '18 at 12:37
1
1
Please try to format your question respecting the 4 spaces ident for your code part, this will make your question much more readable.
– Matina G
Nov 16 '18 at 12:37
Please try to format your question respecting the 4 spaces ident for your code part, this will make your question much more readable.
– Matina G
Nov 16 '18 at 12:37
add a comment |
1 Answer
1
active
oldest
votes
If you want a specific format , let's say 'YYYY-mm-dd HH:MM:SS', you could consider the following:
from datetime import datetime
def convert_datetime(dt):
return datetime.strftime(dt, '%Y-%m-%d %H:%M-%S')
df['timestamps']= df ['timestamps'].apply(convert_datetime)
answered Nov 16 '18 at 12:35
Matina GMatina G
629213
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%2f53337951%2fpandas-from-datetime64ns-to-object-python%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
If you want a specific format , let's say 'YYYY-mm-dd HH:MM:SS', you could consider the following:
from datetime import datetime
def convert_datetime(dt):
return datetime.strftime(dt, '%Y-%m-%d %H:%M-%S')
df['timestamps']= df ['timestamps'].apply(convert_datetime)
answered Nov 16 '18 at 12:35
Matina GMatina G
629213
add a comment |
If you want a specific format , let's say 'YYYY-mm-dd HH:MM:SS', you could consider the following:
from datetime import datetime
def convert_datetime(dt):
return datetime.strftime(dt, '%Y-%m-%d %H:%M-%S')
df['timestamps']= df ['timestamps'].apply(convert_datetime)
answered Nov 16 '18 at 12:35
Matina GMatina G
629213
add a comment |
If you want a specific format , let's say 'YYYY-mm-dd HH:MM:SS', you could consider the following:
from datetime import datetime
def convert_datetime(dt):
return datetime.strftime(dt, '%Y-%m-%d %H:%M-%S')
df['timestamps']= df ['timestamps'].apply(convert_datetime)
answered Nov 16 '18 at 12:35
Matina GMatina G
629213
If you want a specific format , let's say 'YYYY-mm-dd HH:MM:SS', you could consider the following:
from datetime import datetime
def convert_datetime(dt):
return datetime.strftime(dt, '%Y-%m-%d %H:%M-%S')
df['timestamps']= df ['timestamps'].apply(convert_datetime)
answered Nov 16 '18 at 12:35
Matina GMatina G
629213
answered Nov 16 '18 at 12:35
Matina GMatina G
629213
answered Nov 16 '18 at 12:35
Matina GMatina G
629213
answered Nov 16 '18 at 12:35
Matina GMatina G
629213
629213
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.
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%2f53337951%2fpandas-from-datetime64ns-to-object-python%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
1
Please try to format your question respecting the 4 spaces ident for your code part, this will make your question much more readable.
– Matina G
Nov 16 '18 at 12:37