df_1 :
| NBB1 |
|---|
| 776 |
And df_2
| NBB2 |
|---|
| 4867 |
I will to obtain this dataframe in Pyspark df :
| NBB1 | NBB2 |
|---|---|
| 776 | 4867 |
CodePudding user response：
You need to perform a crossJoin between the two dataframes.
See below for details -
from pyspark.sql import Row
df1 = spark.createDataFrame([Row(NBB1 = 776)])
df1.show()
#Output
----
|NBB1|
----
| 776|
----
df2 = spark.createDataFrame([Row(NBB2 = 4867)])
df2.show()
#Output
----
|NBB2|
----
|4867|
----
df1.crossJoin(df2).show()
#Output
---- ----
|NBB1|NBB2|
---- ----
| 776|4867|
---- ----