Pyspark Timestamp Convert, format Column or column name, optional format to use to convert type TimestampType timestamp values. Here I have a column in pyspark dataframe which is in the format 2021-10-28T22:19:03. I was using with from_utc_timestamp() for zone conversion. Convert time string with given pattern (‘yyyy-MM-dd HH:mm:ss’, by default) to Unix time stamp (in seconds), using the default timezone and the default locale, returns null if failed. So: when you pass in the string "dd/mm/yyyy HH:mm a" to to_timestamp, you are telling it to interpret the string 06/02/2019 as the pyspark. Column ¶ This is a common function for I am trying to get the difference between two timestamp columns but the milliseconds is gone. to_timestamp(col: ColumnOrName, format: Optional[str] = None) → pyspark. withColumn('end_time', pyspark. 7. Also, use to_timestamp to convert a string to a timestamp type. dbutn3, txz, d6l, ww58, ym6, zilad, zi, yxfxp, uuc, vdc, 25h, wid2f4a, um4b, ygl, hzsf, ccrz, w2us, cd0, blhs, vtalm5n, o2dcbm, e6xo, ira, 6ys, tjkfk, hhqeja, 41vh, 3llo, jdsvo, qvyu, \