Date and Time Functions- Pyspark Dataframes

Here’s a comprehensive list of some common PySpark date functions along with detailed explanations and examples:

1. current_date()

Returns the current date.

2. current_timestamp()

Returns the current timestamp.

3. date_format()

Formats a date using the specified format.

4. year(), month(), dayofmonth()

Extracts the year, month, and day from a date.

5. date_add(), date_sub()

Adds or subtracts a specified number of days to/from a date.

6. datediff()

Returns the difference in days between two dates.

7. add_months()

Adds a specified number of months to a date.

8. months_between()

Returns the number of months between two dates.

9. next_day()

Returns the first date which is the specified day of the week after the given date.

10. last_day()

Returns the last day of the month which the given date belongs to.

11. trunc()

Truncates a date to the specified unit (‘year’, ‘month’).

12. date_trunc()

Truncates a timestamp to the specified unit (‘year’, ‘month’, ‘day’, ‘hour’, ‘minute’).

13. from_unixtime()

Converts the number of seconds from the Unix epoch to a string representing the timestamp.

14. unix_timestamp()

Converts a string timestamp to the number of seconds from the Unix epoch.

15. to_date()

Converts a string to a date.

16. to_timestamp()

Converts a string to a timestamp.

17. weekofyear()

Returns the week of the year for a date.

18. quarter()

Returns the quarter of the year for a date.

19. dayofweek()

Returns the day of the week for a date.

Example Project: Combining Multiple Date Functions


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