Temporal

Function	Description
DATE_PART	Extracts a part of a date (or datetime) such as ‘year’, ‘month’, etc.
EXTRACT	Offers the same functionality as DATE_PART with slightly different syntax.
STRFTIME	Formats a temporal value (Datetime, Date, or Time) as a string.

DATE_PART

Extracts a part of a date (or datetime) such as ‘year’, ‘month’, etc.

Supported parts/fields:

Part	Description	DataType
‘millennium’, ‘millennia’	Millennium number	Int32
‘century’, ‘centuries’, ‘c’	Century number	Int32
‘decade’, ‘decades’	Decade number (year / 10)	Int32
‘isoyear’	ISO year number	Int32
‘year’, ‘years’, ‘y’	Calendar year	Int32
‘quarter’, ‘quarters’	Quarter of the year (1–4)	Int8
‘month’, ‘months’, ‘mon’, ‘mons’	Month of the year (1–12)	Int8
‘dayofyear’, ‘doy’	Day of the year (1–366)	Int16
‘dayofweek’, ‘dow’, ‘weekday’	Day of the week (0:Sunday – 6:Saturday)	Int8
‘isoweek’, ‘week’	ISO week number (1–53)	Int8
‘isodow’	ISO day of the week (1:Monday – 7:Sunday)	Int8
‘day’, ‘days’, ‘dayofmonth’, d’	Day of the month (1–31)	Int8
‘hour’, ‘hours’, ‘h’	Hour of the day (0–23)	Int8
‘minute’, ‘minutes’, ‘mins’, ‘min’, ‘m’	Minute of the hour (0–59)	Int8
‘second’, ‘seconds’, ‘sec’, ‘secs’, ‘s’	Second of the minute (0–59)	Int8
‘millisecond’, ‘milliseconds’, ‘ms’	Sub-minute seconds and milliseconds (0–59999.)	Float64
‘microsecond’, ‘microseconds’, ‘us’	Sub-minute seconds and microseconds (0–59999999.)	Float64
‘nanosecond’, ‘nanoseconds’, ‘ns’	Sub-minute seconds and nanoseconds (0–59999999999.)	Float64
‘timezone’	UTC offset of the timezone, in seconds ()	Int64
‘time’	Time component	Time
‘epoch’	Seconds since Unix epoch (1970-01-01)	Float64

Example:

df = pl.DataFrame(
  {
      "dt": [
          datetime(1969, 12, 31, 4, 30, 45, 123456),
          datetime(2026, 7, 12, 10, 23, 59, 999999),
          datetime(2077, 2, 10, 18, 10, 15, 654321),
      ]
  }
)
df.sql("""
  SELECT
    dt,
    DATE_PART('year', dt) AS year,
    DATE_PART('month', dt) AS month,
    DATE_PART('day', dt) AS day,
    DATE_PART('ms', dt) AS secs_ms,
  FROM self
""")
# shape: (3, 5)
# ┌────────────────────────────┬──────┬───────┬─────┬───────────┐
# │ dt                         ┆ year ┆ month ┆ day ┆ secs_ms   │
# │ ---                        ┆ ---  ┆ ---   ┆ --- ┆ ---       │
# │ datetime[μs]               ┆ i32  ┆ i8    ┆ i8  ┆ f64       │
# ╞════════════════════════════╪══════╪═══════╪═════╪═══════════╡
# │ 1969-12-31 04:30:45.123456 ┆ 1969 ┆ 12    ┆ 31  ┆ 45123.456 │
# │ 2026-07-12 10:23:59.999999 ┆ 2026 ┆ 7     ┆ 12  ┆ 59999.999 │
# │ 2077-02-10 18:10:15.654321 ┆ 2077 ┆ 2     ┆ 10  ┆ 15654.321 │
# └────────────────────────────┴──────┴───────┴─────┴───────────┘

EXTRACT

Extracts a part of a date (or datetime) such as ‘year’, ‘month’, etc.

Supported parts/fields:

Part	Description	DataType
‘millennium’, ‘millennia’	Millennium number	Int32
‘century’, ‘centuries’, ‘c’	Century number	Int32
‘decade’, ‘decades’	Decade number (year / 10)	Int32
‘isoyear’	ISO year number	Int32
‘year’, ‘years’, ‘y’	Calendar year	Int32
‘quarter’, ‘quarters’	Quarter of the year (1–4)	Int8
‘month’, ‘months’, ‘mon’, ‘mons’	Month of the year (1–12)	Int8
‘dayofyear’, ‘doy’	Day of the year (1–366)	Int16
‘dayofweek’, ‘dow’, ‘weekday’	Day of the week (0:Sunday – 6:Saturday)	Int8
‘isoweek’, ‘week’	ISO week number (1–53)	Int8
‘isodow’	ISO day of the week (1:Monday – 7:Sunday)	Int8
‘day’, ‘days’, ‘dayofmonth’, d’	Day of the month (1–31)	Int8
‘hour’, ‘hours’, ‘h’	Hour of the day (0–23)	Int8
‘minute’, ‘minutes’, ‘mins’, ‘min’, ‘m’	Minute of the hour (0–59)	Int8
‘second’, ‘seconds’, ‘sec’, ‘secs’, ‘s’	Second of the minute (0–59)	Int8
‘millisecond’, ‘milliseconds’, ‘ms’	Sub-minute seconds and milliseconds (0–59999.)	Float64
‘microsecond’, ‘microseconds’, ‘us’	Sub-minute seconds and microseconds (0–59999999.)	Float64
‘nanosecond’, ‘nanoseconds’, ‘ns’	Sub-minute seconds and nanoseconds (0–59999999999.)	Float64
‘timezone’	UTC offset of the timezone, in seconds ()	Int64
‘time’	Time component	Time
‘epoch’	Seconds since Unix epoch (1970-01-01)	Float64

Example:

df = pl.DataFrame(
  {
    "dt": [
      date(1969, 12, 31),
      date(2026, 8, 22),
      date(2077, 2, 10),
    ],
  }
)
df.sql("""
  SELECT
    dt,
    EXTRACT(decade FROM dt) AS decade,
    EXTRACT(year FROM dt) AS year,
    EXTRACT(quarter FROM dt) AS quarter,
  FROM self
""")
# shape: (3, 4)
# ┌────────────┬────────┬──────┬─────────┐
# │ dt         ┆ decade ┆ year ┆ quarter │
# │ ---        ┆ ---    ┆ ---  ┆ ---     │
# │ date       ┆ i32    ┆ i32  ┆ i8      │
# ╞════════════╪════════╪══════╪═════════╡
# │ 1969-12-31 ┆ 196    ┆ 1969 ┆ 4       │
# │ 2026-08-22 ┆ 202    ┆ 2026 ┆ 3       │
# │ 2077-02-10 ┆ 207    ┆ 2077 ┆ 1       │
# └────────────┴────────┴──────┴─────────┘

STRFTIME

Formats a temporal value (Datetime, Date, or Time) as a string using a chrono strftime-compatible formatting string.

df = pl.DataFrame(
  {
    "dt": [date(1978, 7, 5), None, date(2020, 4, 10)],
    "tm": [time(10, 10, 10), time(22, 33, 55), None],
  }
)
df.sql("""
  SELECT
    STRFTIME(dt, '%B %d, %Y') AS s_dt,
    STRFTIME(tm, '%H.%M.%S') AS s_tm,
  FROM self
""")
# shape: (3, 2)
# ┌────────────────┬──────────┐
# │ s_dt           ┆ s_tm     │
# │ ---            ┆ ---      │
# │ str            ┆ str      │
# ╞════════════════╪══════════╡
# │ July 05, 1978  ┆ 10.10.10 │
# │ null           ┆ 22.33.55 │
# │ April 10, 2020 ┆ null     │
# └────────────────┴──────────┘