Adding constant value column to spark dataframe

Question

I am using Spark version 2.1 in Databricks. I have a data frame named wamp to which I want to add a column named region which should take the constant value NE. However, I get an error saying NameError: name 'lit' is not defined when I run the following command:

wamp = wamp.withColumn('region', lit('NE'))

What am I doing wrong?

score 32 · Accepted Answer · edited Sep 23 '19 at 20:34

32

you need to import lit

either

from pyspark.sql.functions import *

will make lit available

or something like

import pyspark.sql.functions as sf
wamp = wamp.withColumn('region', sf.lit('NE'))

edited Sep 23 '19 at 20:34

touch my body

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answered May 17 '17 at 19:36

muon

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score 4 · Answer 2 · answered Sep 23 '19 at 07:03

muon@ provided the correct answer above. Just adding a quick reproducible version to increase clarity.

>>> from pyspark.sql.functions import lit
>>> df = spark.createDataFrame([(1, 4, 3)], ['a', 'b', 'c'])
>>> df.show()
+---+---+---+
|  a|  b|  c|
+---+---+---+
|  1|  4|  3|
+---+---+---+

>>> df = df.withColumn("d", lit(5))
>>> df.show()
+---+---+---+---+
|  a|  b|  c|  d|
+---+---+---+---+
|  1|  4|  3|  5|
+---+---+---+---+

Adding constant value column to spark dataframe

2 Answers2