Explode columns having nested list in pyspark using dataframes
0
I've a datafram having below column:
[Row(
col_1=True,
col_2=[Row(val1=70, val2=None, val3=u'35f81fd0')],
col_3=[
Row(scr=100, id=u'ae288',
i_rs=[
Row(a=
[Row(id=42, value=u'10'), Row(id=49, value=u'100')],
c_d=None, t_i=None, name=u'', pd=413, st=0, stamp=None, t_s=50
),
Row(a=
[Row(id=42, value=u'100'), Row(id=49, value=u'10')],
c_d=None, t_i=None, name=u'Jfe', pd=411, st=0, stamp=None, t_s=20
),
Row(a=
[
Row(id=453, value=u'1523430000'),
Row(id=709, value=u'1523516400'),
Row(id=964, value=u'45'),
Row(id=220, value=u'45'),
Row(id=476, value=u'0'),
Row(id=736, value=u'm_U:2;m_O:33;'),
Row(id=340, value=u'0')
],
c_d=None, t_i=None, name=u'', pd=1, st=0, stamp=None, t_s=10)
],
name=None, re=1, t_s=70, te=1)]
)]
I want to transform the above column and explode into multiple columns something like below:
How can I achieve above output in pyspark.
python-2.7 pyspark apache-spark-sql
asked Nov 13 '18 at 12:26
sandeepsandeep
731110
add a comment |
0
I've a datafram having below column:
[Row(
col_1=True,
col_2=[Row(val1=70, val2=None, val3=u'35f81fd0')],
col_3=[
Row(scr=100, id=u'ae288',
i_rs=[
Row(a=
[Row(id=42, value=u'10'), Row(id=49, value=u'100')],
c_d=None, t_i=None, name=u'', pd=413, st=0, stamp=None, t_s=50
),
Row(a=
[Row(id=42, value=u'100'), Row(id=49, value=u'10')],
c_d=None, t_i=None, name=u'Jfe', pd=411, st=0, stamp=None, t_s=20
),
Row(a=
[
Row(id=453, value=u'1523430000'),
Row(id=709, value=u'1523516400'),
Row(id=964, value=u'45'),
Row(id=220, value=u'45'),
Row(id=476, value=u'0'),
Row(id=736, value=u'm_U:2;m_O:33;'),
Row(id=340, value=u'0')
],
c_d=None, t_i=None, name=u'', pd=1, st=0, stamp=None, t_s=10)
],
name=None, re=1, t_s=70, te=1)]
)]
I want to transform the above column and explode into multiple columns something like below:
How can I achieve above output in pyspark.
python-2.7 pyspark apache-spark-sql
asked Nov 13 '18 at 12:26
sandeepsandeep
731110
Check This answer
– Flika205
Nov 13 '18 at 13:29
Possible duplicate of How can I create a Spark DataFrame from a nested array of struct element?
– Flika205
Nov 13 '18 at 13:30
But that is using scala.
– sandeep
Nov 13 '18 at 13:39
Don't post pictures of code/data. and don't repost the same question multiple times. Simplify your question into an Minimal, Complete, and Verifiable example and you'll have more success in getting an answer.
– pault
Nov 13 '18 at 15:42
add a comment |
0
0
0
I've a datafram having below column:
[Row(
col_1=True,
col_2=[Row(val1=70, val2=None, val3=u'35f81fd0')],
col_3=[
Row(scr=100, id=u'ae288',
i_rs=[
Row(a=
[Row(id=42, value=u'10'), Row(id=49, value=u'100')],
c_d=None, t_i=None, name=u'', pd=413, st=0, stamp=None, t_s=50
),
Row(a=
[Row(id=42, value=u'100'), Row(id=49, value=u'10')],
c_d=None, t_i=None, name=u'Jfe', pd=411, st=0, stamp=None, t_s=20
),
Row(a=
[
Row(id=453, value=u'1523430000'),
Row(id=709, value=u'1523516400'),
Row(id=964, value=u'45'),
Row(id=220, value=u'45'),
Row(id=476, value=u'0'),
Row(id=736, value=u'm_U:2;m_O:33;'),
Row(id=340, value=u'0')
],
c_d=None, t_i=None, name=u'', pd=1, st=0, stamp=None, t_s=10)
],
name=None, re=1, t_s=70, te=1)]
)]
I want to transform the above column and explode into multiple columns something like below:
How can I achieve above output in pyspark.
python-2.7 pyspark apache-spark-sql
asked Nov 13 '18 at 12:26
sandeepsandeep
731110
I've a datafram having below column:
[Row(
col_1=True,
col_2=[Row(val1=70, val2=None, val3=u'35f81fd0')],
col_3=[
Row(scr=100, id=u'ae288',
i_rs=[
Row(a=
[Row(id=42, value=u'10'), Row(id=49, value=u'100')],
c_d=None, t_i=None, name=u'', pd=413, st=0, stamp=None, t_s=50
),
Row(a=
[Row(id=42, value=u'100'), Row(id=49, value=u'10')],
c_d=None, t_i=None, name=u'Jfe', pd=411, st=0, stamp=None, t_s=20
),
Row(a=
[
Row(id=453, value=u'1523430000'),
Row(id=709, value=u'1523516400'),
Row(id=964, value=u'45'),
Row(id=220, value=u'45'),
Row(id=476, value=u'0'),
Row(id=736, value=u'm_U:2;m_O:33;'),
Row(id=340, value=u'0')
],
c_d=None, t_i=None, name=u'', pd=1, st=0, stamp=None, t_s=10)
],
name=None, re=1, t_s=70, te=1)]
)]
I want to transform the above column and explode into multiple columns something like below:
How can I achieve above output in pyspark.
python-2.7 pyspark apache-spark-sql
python-2.7 pyspark apache-spark-sql
asked Nov 13 '18 at 12:26
sandeepsandeep
731110
asked Nov 13 '18 at 12:26
sandeepsandeep
731110
asked Nov 13 '18 at 12:26
sandeepsandeep
731110
asked Nov 13 '18 at 12:26
sandeepsandeep
731110
asked Nov 13 '18 at 12:26
sandeepsandeep
731110
731110
Check This answer
– Flika205
Nov 13 '18 at 13:29
Possible duplicate of How can I create a Spark DataFrame from a nested array of struct element?
– Flika205
Nov 13 '18 at 13:30
But that is using scala.
– sandeep
Nov 13 '18 at 13:39
Don't post pictures of code/data. and don't repost the same question multiple times. Simplify your question into an Minimal, Complete, and Verifiable example and you'll have more success in getting an answer.
– pault
Nov 13 '18 at 15:42
add a comment |
Check This answer
– Flika205
Nov 13 '18 at 13:29
Possible duplicate of How can I create a Spark DataFrame from a nested array of struct element?
– Flika205
Nov 13 '18 at 13:30
But that is using scala.
– sandeep
Nov 13 '18 at 13:39
Don't post pictures of code/data. and don't repost the same question multiple times. Simplify your question into an Minimal, Complete, and Verifiable example and you'll have more success in getting an answer.
– pault
Nov 13 '18 at 15:42
Check This answer
– Flika205
Nov 13 '18 at 13:29
Check This answer
– Flika205
Nov 13 '18 at 13:29
Possible duplicate of How can I create a Spark DataFrame from a nested array of struct element?
– Flika205
Nov 13 '18 at 13:30
Possible duplicate of How can I create a Spark DataFrame from a nested array of struct element?
– Flika205
Nov 13 '18 at 13:30
But that is using scala.
– sandeep
Nov 13 '18 at 13:39
But that is using scala.
– sandeep
Nov 13 '18 at 13:39
Don't post pictures of code/data. and don't repost the same question multiple times. Simplify your question into an Minimal, Complete, and Verifiable example and you'll have more success in getting an answer.
– pault
Nov 13 '18 at 15:42
Don't post pictures of code/data. and don't repost the same question multiple times. Simplify your question into an Minimal, Complete, and Verifiable example and you'll have more success in getting an answer.
– pault
Nov 13 '18 at 15:42
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
);
);
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%2f53280989%2fexplode-columns-having-nested-list-in-pyspark-using-dataframes%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
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%2f53280989%2fexplode-columns-having-nested-list-in-pyspark-using-dataframes%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
Check This answer
– Flika205
Nov 13 '18 at 13:29
Possible duplicate of How can I create a Spark DataFrame from a nested array of struct element?
– Flika205
Nov 13 '18 at 13:30
But that is using scala.
– sandeep
Nov 13 '18 at 13:39
Don't post pictures of code/data. and don't repost the same question multiple times. Simplify your question into an Minimal, Complete, and Verifiable example and you'll have more success in getting an answer.
– pault
Nov 13 '18 at 15:42