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
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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