I've a dataframe where the date/time column is of string datatype and looks something like "Tue Apr 21 01:16:19 2020". How do I convert this to a date column with format as 2020/04/21 in pyspark.
I tried something like this,
option1:
df = df.withColumn("event_time2",from_unixtime(unix_timestamp(col("Event_time"), 'MM/dd/yyy')))
option2:
df= df.withColumn("event_time2",unix_timestamp(col("Event_time"),'yyyy-MM-dd HH:mm:ss').cast("timestamp"))
but both return null
You could use to_date and date_format. EEE is for day in the week. Refer to Java Simple Data Format for the complete list
from pyspark.sql import functions as F
df.withColumn("Event_time2", F.to_date("Event_time", 'EEE MMM dd HH:mm:ss yyyy')).show(truncate=False)
#+------------------------+-----------+
#|Event_time |Event_time2|
#+------------------------+-----------+
#|Tue Apr 21 01:16:19 2020|2020-04-21 |
#+------------------------+-----------+
df.withColumn("Event_time2", F.date_format(F.to_date("Event_time", 'EEE MMM dd HH:mm:ss yyyy'),'yyyy/MM/dd')).show(truncate=False)
#+------------------------+-----------+
#|Event_time |Event_time2|
#+------------------------+-----------+
#|Tue Apr 21 01:16:19 2020|2020/04/21 |
#+------------------------+-----------+