Pyspark new column

from pyspark.sql.functions import lit

df = sqlContext.createDataFrame(
    [(1, "a", 23.0), (3, "B", -23.0)], ("x1", "x2", "x3"))

df_with_x4 = df.withColumn("x4", lit(0))
df_with_x4.show()

## +---+---+-----+---+
## | x1| x2|   x3| x4|
## +---+---+-----+---+
## |  1|  a| 23.0|  0|
## |  3|  B|-23.0|  0|
## +---+---+-----+---+

Source: stackoverflow.com

Similar codes

0 vote217 views3 answers
Proxy pool for scrapy
Python
3 votes205 views2 answers
How to write and read dictionary to a file in python
Python
4 votes206 views1 answer
Convert pandas datetime to day, weekday, month
Python
8 votes201 views3 answers
Python datetime to unix timestamp
Python
4 votes205 views2 answers
Check if a string is float python
Python
1 vote293 views2 answers
N-largest and n-smallest in list in python
Python
4 votes252 views3 answers
Gyp ERR! find Python
Python
2 votes203 views1 answer
Python read xlsb pandas
Python
0 vote246 views1 answer
Django create view class
Python Django
0 vote255 views1 answer
Train slipt sklearn
Python