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Polars utils module

Functions

iso_week_date.polars_utils.datetime_to_isoweek 

datetime_to_isoweek(series: T, offset: OffsetType = timedelta(days=0)) -> T

Converts date(time) series/expr to str values representing ISO Week format YYYY-WNN.

Parameters:

Name Type Description Default
series T

series or expr of date or datetime values

 required
offset OffsetType

offset in days or timedelta. It represents how many days to add to the date before converting to ISO Week, it can be negative

 timedelta(days=0)

Returns:

Type Description
T

Series or Expr with converted ISO Week values (in format YYYY-WNN)

Raises:

Type Description
TypeError

If any of the following condition is met:

  • series is not of type pl.Series or pl.Expr
  • offset is not of type timedelta or int

Examples:

>>> from datetime import date, timedelta
>>> import polars as pl
>>> from iso_week_date.polars_utils import datetime_to_isoweek
>>>
>>> s = pl.date_range(date(2023, 1, 1), date(2023, 1, 5), interval="1d", eager=True)
>>> datetime_to_isoweek(s, offset=timedelta(days=1))
shape: (5,)
Series: 'literal' [str]
[
   "2022-W52"
   "2022-W52"
   "2023-W01"
   "2023-W01"
   "2023-W01"
]
>>> df = pl.DataFrame({"date": s})
>>> df.select(datetime_to_isoweek(pl.col("date"), offset=1))
shape: (5, 1)
┌──────────┐
│ date     │
│ ---      │
│ str      │
╞══════════╡
│ 2022-W52 │
│ 2022-W52 │
│ 2023-W01 │
│ 2023-W01 │
│ 2023-W01 │
└──────────┘
Source code in iso_week_date/polars_utils.py 
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def datetime_to_isoweek(series: T, offset: OffsetType = timedelta(days=0)) -> T:
    """Converts `date(time)` `series/expr` to `str` values representing ISO Week format YYYY-WNN.

    Arguments:
        series: series or expr of `date` or `datetime` values
        offset: offset in days or `timedelta`. It represents how many days to add to the date before converting to ISO
            Week, it can be negative

    Returns:
        Series or Expr with converted ISO Week values (in format YYYY-WNN)

    Raises:
        TypeError: If any of the following condition is met:

            - `series` is not of type `pl.Series` or `pl.Expr`
            - `offset` is not of type `timedelta` or `int`

    Examples:
        >>> from datetime import date, timedelta
        >>> import polars as pl
        >>> from iso_week_date.polars_utils import datetime_to_isoweek
        >>>
        >>> s = pl.date_range(date(2023, 1, 1), date(2023, 1, 5), interval="1d", eager=True)
        >>> datetime_to_isoweek(s, offset=timedelta(days=1))  # doctest: +NORMALIZE_WHITESPACE
        shape: (5,)
        Series: 'literal' [str]
        [
           "2022-W52"
           "2022-W52"
           "2023-W01"
           "2023-W01"
           "2023-W01"
        ]
        >>> df = pl.DataFrame({"date": s})
        >>> df.select(datetime_to_isoweek(pl.col("date"), offset=1))
        shape: (5, 1)
        ┌──────────┐
        │ date     │
        │ ---      │
        │ str      │
        ╞══════════╡
        │ 2022-W52 │
        │ 2022-W52 │
        │ 2023-W01 │
        │ 2023-W01 │
        │ 2023-W01 │
        └──────────┘
    """
    return _datetime_to_format(series, offset, ISOWEEK__DATE_FORMAT)

iso_week_date.polars_utils.datetime_to_isoweekdate 

datetime_to_isoweekdate(
    series: T, offset: OffsetType = timedelta(days=0)
) -> T

Converts date(time) series/expr to str values representing ISO Week date format YYYY-WNN-D.

Parameters:

Name Type Description Default
series T

series or expr of date or datetime values

 required
offset OffsetType

offset in days or timedelta. It represents how many days to add to the date before converting to ISO Week, it can be negative

 timedelta(days=0)

Returns:

Type Description
T

Series or Expr with converted ISO Week values (in format YYYY-WNN-D)

Raises:

Type Description
TypeError

If any of the following condition is met:

  • series is not of type pl.Series or pl.Expr
  • offset is not of type timedelta or int

Examples:

>>> from datetime import date, timedelta
>>> import polars as pl
>>> from iso_week_date.polars_utils import datetime_to_isoweekdate
>>>
>>> s = pl.date_range(date(2023, 1, 1), date(2023, 1, 5), interval="1d", eager=True)
>>> datetime_to_isoweekdate(s, offset=timedelta(days=1))
shape: (5,)
Series: 'literal' [str]
[
   "2022-W52-6"
   "2022-W52-7"
   "2023-W01-1"
   "2023-W01-2"
   "2023-W01-3"
]
>>> df = pl.DataFrame({"date": s})
>>> df.select(datetime_to_isoweekdate(pl.col("date"), offset=1))
shape: (5, 1)
┌────────────┐
│ date       │
│ ---        │
│ str        │
╞════════════╡
│ 2022-W52-6 │
│ 2022-W52-7 │
│ 2023-W01-1 │
│ 2023-W01-2 │
│ 2023-W01-3 │
└────────────┘
Source code in iso_week_date/polars_utils.py 
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def datetime_to_isoweekdate(series: T, offset: OffsetType = timedelta(days=0)) -> T:
    """Converts `date(time)` `series/expr`  to `str` values representing ISO Week date format YYYY-WNN-D.

    Arguments:
        series: series or expr of `date` or `datetime` values
        offset: offset in days or `timedelta`. It represents how many days to add to the date before converting to ISO
            Week, it can be negative

    Returns:
        Series or Expr with converted ISO Week values (in format YYYY-WNN-D)

    Raises:
        TypeError: If any of the following condition is met:

            - `series` is not of type `pl.Series` or `pl.Expr`
            - `offset` is not of type `timedelta` or `int`

    Examples:
        >>> from datetime import date, timedelta
        >>> import polars as pl
        >>> from iso_week_date.polars_utils import datetime_to_isoweekdate
        >>>
        >>> s = pl.date_range(date(2023, 1, 1), date(2023, 1, 5), interval="1d", eager=True)
        >>> datetime_to_isoweekdate(s, offset=timedelta(days=1))  # doctest: +NORMALIZE_WHITESPACE
        shape: (5,)
        Series: 'literal' [str]
        [
           "2022-W52-6"
           "2022-W52-7"
           "2023-W01-1"
           "2023-W01-2"
           "2023-W01-3"
        ]
        >>> df = pl.DataFrame({"date": s})
        >>> df.select(datetime_to_isoweekdate(pl.col("date"), offset=1))
        shape: (5, 1)
        ┌────────────┐
        │ date       │
        │ ---        │
        │ str        │
        ╞════════════╡
        │ 2022-W52-6 │
        │ 2022-W52-7 │
        │ 2023-W01-1 │
        │ 2023-W01-2 │
        │ 2023-W01-3 │
        └────────────┘
    """
    return _datetime_to_format(series, offset, ISOWEEKDATE__DATE_FORMAT)

iso_week_date.polars_utils.isoweek_to_datetime 

isoweek_to_datetime(
    series: T,
    offset: OffsetType = timedelta(days=0),
    weekday: int = 1,
    *,
    strict: bool = True,
) -> T

Converts series or expr of str values in ISO Week format YYYY-WNN to a series or expr of pl.Date values.

offset represents how many days to add to the date before converting to pl.Date, and it can be negative.

weekday represents the weekday to use for conversion in ISO Week format (1-7), where 1 is the first day of the week, 7 is the last one.

Parameters:

Name Type Description Default
series T

Series or Expr of str values in ISO Week format.

 required
offset OffsetType

Offset in days or timedelta. It represents how many days to add to the date before converting to IsoWeek, it can be negative.

 timedelta(days=0)
weekday int

Weekday to use for conversion (1-7)

 1
strict bool

Raise an error if the values cannot be converted to datetime. Otherwise mask out with a null value.

 True

Returns:

Type Description
T

Series or Expr of converted date values

Raises:

Type Description
TypeError

If any of the following condition is met:

  • series is not of type pl.Series or pl.Expr
  • offset is not of type timedelta or int
ValueError

If weekday is not an integer between 1 and 7

Examples:

>>> from datetime import timedelta
>>> import polars as pl
>>> from iso_week_date.polars_utils import isoweek_to_datetime
>>>
>>> s = pl.Series(["2022-W52", "2023-W01", "2023-W02"])
>>> isoweek_to_datetime(series=s, offset=timedelta(days=1))
shape: (3,)
Series: '' [date]
[
    2022-12-27
    2023-01-03
    2023-01-10
]
Source code in iso_week_date/polars_utils.py 
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def isoweek_to_datetime(
    series: T,
    offset: OffsetType = timedelta(days=0),
    weekday: int = 1,
    *,
    strict: bool = True,
) -> T:
    """Converts series or expr of `str` values in ISO Week format YYYY-WNN to a series or expr of `pl.Date` values.

    `offset` represents how many days to add to the date before converting to `pl.Date`, and it can be negative.

    `weekday` represents the weekday to use for conversion in ISO Week format (1-7), where 1 is the first day of the
    week, 7 is the last one.

    Arguments:
        series: Series or Expr of `str` values in ISO Week format.
        offset: Offset in days or `timedelta`. It represents how many days to add to the date before converting to
            IsoWeek, it can be negative.
        weekday: Weekday to use for conversion (1-7)
        strict: Raise an error if the values cannot be converted to datetime. Otherwise mask out with a null value.

    Returns:
        Series or Expr of converted date values

    Raises:
        TypeError: If any of the following condition is met:

            - `series` is not of type `pl.Series` or `pl.Expr`
            - `offset` is not of type `timedelta` or `int`
        ValueError: If `weekday` is not an integer between 1 and 7

    Examples:
        >>> from datetime import timedelta
        >>> import polars as pl
        >>> from iso_week_date.polars_utils import isoweek_to_datetime
        >>>
        >>> s = pl.Series(["2022-W52", "2023-W01", "2023-W02"])
        >>> isoweek_to_datetime(series=s, offset=timedelta(days=1))  # doctest: +NORMALIZE_WHITESPACE
        shape: (3,)
        Series: '' [date]
        [
            2022-12-27
            2023-01-03
            2023-01-10
        ]
    """
    if not isinstance(offset, (timedelta, int)):
        msg = f"`offset` must be of type `timedelta` or `int`, found {type(offset)}"
        raise TypeError(msg)

    if weekday not in range(1, 8):
        msg = f"`weekday` value must be an integer between 1 and 7, found {weekday}"
        raise ValueError(msg)

    _offset = timedelta(days=offset) if isinstance(offset, int) else offset

    return (series + f"-{weekday}").str.strptime(pl.Date, ISOWEEKDATE__DATE_FORMAT, strict=strict) + _offset

iso_week_date.polars_utils.isoweekdate_to_datetime 

isoweekdate_to_datetime(
    series: T, offset: OffsetType = timedelta(days=0), *, strict: bool = True
) -> T

Converts series/expr of values in ISO Week date format YYYY-WNN-D to a series or expr of pl.Date values.

offset represents how many days to add to the date before converting to pl.Date, and it can be negative.

Parameters:

Name Type Description Default
series T

Series or Expr of str values in ISO Week date format

 required
offset OffsetType

Offset in days or timedelta. It represents how many days to add to the date before converting to IsoWeek, it can be negative

 timedelta(days=0)
strict bool

Raise an error if the values cannot be converted to datetime. Otherwise mask out with a null value.

 True

Returns:

Type Description
T

Series or Expr of converted date values

Raises:

Type Description
TypeError

If any of the following condition is met:

  • series is not of type pl.Series or pl.Expr
  • offset is not of type timedelta or int

Examples:

>>> from datetime import timedelta
>>> import polars as pl
>>> from iso_week_date.polars_utils import isoweekdate_to_datetime
>>>
>>> s = pl.Series(["2022-W52-7", "2023-W01-1", "2023-W02-1"])
>>> isoweekdate_to_datetime(series=s, offset=timedelta(days=1))
shape: (3,)
Series: '' [date]
[
    2023-01-02
    2023-01-03
    2023-01-10
]
Source code in iso_week_date/polars_utils.py 
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def isoweekdate_to_datetime(
    series: T,
    offset: OffsetType = timedelta(days=0),
    *,
    strict: bool = True,
) -> T:
    """Converts `series/expr` of values in ISO Week date format YYYY-WNN-D to a series or expr of `pl.Date` values.

    `offset` represents how many days to add to the date before converting to `pl.Date`, and it can be negative.

    Arguments:
        series: Series or Expr of `str` values in ISO Week date format
        offset: Offset in days or `timedelta`. It represents how many days to add to the date before converting to
            IsoWeek, it can be negative
        strict: Raise an error if the values cannot be converted to datetime. Otherwise mask out with a null value.

    Returns:
        Series or Expr of converted date values

    Raises:
        TypeError: If any of the following condition is met:

            - `series` is not of type `pl.Series` or `pl.Expr`
            - `offset` is not of type `timedelta` or `int`

    Examples:
        >>> from datetime import timedelta
        >>> import polars as pl
        >>> from iso_week_date.polars_utils import isoweekdate_to_datetime
        >>>
        >>> s = pl.Series(["2022-W52-7", "2023-W01-1", "2023-W02-1"])
        >>> isoweekdate_to_datetime(series=s, offset=timedelta(days=1))  # doctest: +NORMALIZE_WHITESPACE
        shape: (3,)
        Series: '' [date]
        [
            2023-01-02
            2023-01-03
            2023-01-10
        ]
    """
    if not isinstance(offset, (timedelta, int)):
        msg = f"`offset` must be of type `timedelta` or `int`, found {type(offset)}"
        raise TypeError(msg)

    _offset = timedelta(days=offset) if isinstance(offset, int) else offset

    return series.str.strptime(pl.Date, ISOWEEKDATE__DATE_FORMAT, strict=strict) + _offset

iso_week_date.polars_utils.is_isoweek_series 

is_isoweek_series(series: T) -> bool

Checks if a series or expr contains only values in ISO Week format.

Parameters:

Name Type Description Default
series T

series or expr of str values to check against "YYYY-WNN" pattern

 required

Returns:

Type Description
bool

True if all values match ISO Week format, False otherwise

Raises:

Type Description
TypeError

If series is not of type pl.Series or pl.Expr

Examples:

>>> import polars as pl
>>> from iso_week_date.polars_utils import is_isoweek_series
>>>
>>> s = pl.Series(["2022-W52", "2023-W01", "2023-W02"])
>>> is_isoweek_series(s)
True
Source code in iso_week_date/polars_utils.py 
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def is_isoweek_series(series: T) -> bool:
    """Checks if a series or expr contains only values in ISO Week format.

    Arguments:
        series: series or expr of `str` values to check against "YYYY-WNN" pattern

    Returns:
        `True` if all values match ISO Week format, `False` otherwise

    Raises:
        TypeError: If `series` is not of type `pl.Series` or `pl.Expr`

    Examples:
        >>> import polars as pl
        >>> from iso_week_date.polars_utils import is_isoweek_series
        >>>
        >>> s = pl.Series(["2022-W52", "2023-W01", "2023-W02"])
        >>> is_isoweek_series(s)
        True
    """
    return _match_series(series, ISOWEEK_PATTERN.pattern)

iso_week_date.polars_utils.is_isoweekdate_series 

is_isoweekdate_series(series: T) -> bool

Checks if a series or expr contains only values in ISO Week date format.

Parameters:

Name Type Description Default
series T

series or expr of str values to check against "YYYY-WNN-D" pattern

 required

Returns:

Type Description
bool

True if all values match ISO Week date format, False otherwise

Raises:

Type Description
TypeError

If series is not of type pl.Series or pl.Expr

Examples:

>>> import polars as pl
>>> from iso_week_date.polars_utils import is_isoweekdate_series
>>>
>>> s = pl.Series(["2022-W52-1", "2023-W01-1", "2023-W02-1"])
>>> is_isoweekdate_series(series=s)
True
Source code in iso_week_date/polars_utils.py 
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def is_isoweekdate_series(series: T) -> bool:
    """Checks if a series or expr contains only values in ISO Week date format.

    Arguments:
        series: series or expr of `str` values to check against "YYYY-WNN-D" pattern

    Returns:
        `True` if all values match ISO Week date format, `False` otherwise

    Raises:
        TypeError: If `series` is not of type `pl.Series` or `pl.Expr`

    Examples:
        >>> import polars as pl
        >>> from iso_week_date.polars_utils import is_isoweekdate_series
        >>>
        >>> s = pl.Series(["2022-W52-1", "2023-W01-1", "2023-W02-1"])
        >>> is_isoweekdate_series(series=s)
        True
    """
    return _match_series(series, ISOWEEKDATE_PATTERN.pattern)

Series extension

iso_week_date.polars_utils.SeriesIsoWeek

Bases: Generic[T]

Polars Series and Expr extension that provides methods for working with ISO weeks and dates.

Instead of importing and working with single functions from the polars_utils module, it is possible to import the Series and Expr extension class to be able to use the functions as methods on Series and Expr objects.

To accomplish this, it is enough to load SeriesIsoWeek into scope:

from datetime import date, timedelta
import polars as pl
from iso_week_date.polars_utils import SeriesIsoWeek  # noqa: F401

s = pl.date_range(date(2023, 1, 1), date(2023, 1, 10), interval="1d")
s.iwd.datetime_to_isoweek(offset=timedelta(days=1))

df = pl.DataFrame({"date": s})
df.select(pl.col("date").iwd.datetime_to_isoweek(offset=1))

Parameters:

Name Type Description Default
series T

The pandas Series object the extension is attached to.

 required

Attributes:

Name Type Description
_series T

The pandas Series object the extension is attached to.
Source code in iso_week_date/polars_utils.py 
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@pl.api.register_series_namespace("iwd")
@pl.api.register_expr_namespace("iwd")
class SeriesIsoWeek(Generic[T]):
    """Polars Series and Expr extension that provides methods for working with ISO weeks and dates.

    Instead of importing and working with single functions from the `polars_utils` module, it is possible to import the
    Series and Expr [extension class](https://pola-rs.github.io/polars/py-polars/html/reference/api.html) to be able to
    use the functions as methods on Series and Expr objects.

    To accomplish this, it is enough to load `SeriesIsoWeek` into scope:

    ```python hl_lines="3 6 9"
    from datetime import date, timedelta
    import polars as pl
    from iso_week_date.polars_utils import SeriesIsoWeek  # noqa: F401

    s = pl.date_range(date(2023, 1, 1), date(2023, 1, 10), interval="1d")
    s.iwd.datetime_to_isoweek(offset=timedelta(days=1))

    df = pl.DataFrame({"date": s})
    df.select(pl.col("date").iwd.datetime_to_isoweek(offset=1))
    ```

    Arguments:
        series: The pandas Series object the extension is attached to.

    Attributes:
        _series: The pandas Series object the extension is attached to.
    """

    def __init__(self: Self, series: T) -> None:
        self._series: T = series

    def datetime_to_isoweek(self: Self, offset: OffsetType = timedelta(0)) -> T:
        """Converts `date(time)` `series/expr` to `str` values representing ISO Week format YYYY-WNN.

        Arguments:
            offset: offset in days or `timedelta`. It represents how many days to add to the date before converting to
                ISO Week, it can be negative

        Returns:
            Series or Expr with converted ISO Week values (in format YYYY-WNN)

        Raises:
            TypeError: If `offset` is not of type `timedelta` or `int`

        Examples:
            >>> from datetime import date, timedelta
            >>> import polars as pl
            >>> from iso_week_date.polars_utils import SeriesIsoWeek  # noqa: F401
            >>>
            >>> s = pl.date_range(date(2023, 1, 1), date(2023, 1, 5), interval="1d", eager=True)
            >>> s.iwd.datetime_to_isoweek(offset=timedelta(days=1))  # doctest: +NORMALIZE_WHITESPACE
            shape: (5,)
            Series: 'literal' [str]
            [
                "2022-W52"
                "2022-W52"
                "2023-W01"
                "2023-W01"
                "2023-W01"
            ]
            >>> df = pl.DataFrame({"date": s})
            >>> df.select(pl.col("date").iwd.datetime_to_isoweek(offset=1))
            shape: (5, 1)
            ┌──────────┐
            │ date     │
            │ ---      │
            │ str      │
            ╞══════════╡
            │ 2022-W52 │
            │ 2022-W52 │
            │ 2023-W01 │
            │ 2023-W01 │
            │ 2023-W01 │
            └──────────┘
        """
        return datetime_to_isoweek(self._series, offset=offset)

    def datetime_to_isoweekdate(self: Self, offset: OffsetType = timedelta(0)) -> T:
        """Converts `date(time)` `series/expr` to `str` values representing ISO Week date format YYYY-WNN-D.

        Arguments:
            offset: offset in days or `timedelta`. It represents how many days to add to the date before converting to
                ISO Week, it can be negative

        Returns:
            Series or Expr with converted ISO Week values (in format YYYY-WNN-D)

        Raises:
            TypeError: If `offset` is not of type `timedelta` or `int`

        Examples:
            >>> from datetime import date, timedelta
            >>> import polars as pl
            >>> from iso_week_date.polars_utils import SeriesIsoWeek  # noqa: F401
            >>>
            >>> s = pl.date_range(date(2023, 1, 1), date(2023, 1, 5), interval="1d", eager=True)
            >>> s.iwd.datetime_to_isoweekdate(offset=timedelta(days=1))  # doctest: +NORMALIZE_WHITESPACE
            shape: (5,)
            Series: 'literal' [str]
            [
                "2022-W52-6"
                "2022-W52-7"
                "2023-W01-1"
                "2023-W01-2"
                "2023-W01-3"
            ]
            >>> df = pl.DataFrame({"date": s})
            >>> df.select(pl.col("date").iwd.datetime_to_isoweekdate(offset=1))
            shape: (5, 1)
            ┌────────────┐
            │ date       │
            │ ---        │
            │ str        │
            ╞════════════╡
            │ 2022-W52-6 │
            │ 2022-W52-7 │
            │ 2023-W01-1 │
            │ 2023-W01-2 │
            │ 2023-W01-3 │
            └────────────┘
        """
        return datetime_to_isoweekdate(self._series, offset=offset)

    def isoweek_to_datetime(
        self: Self,
        offset: OffsetType = timedelta(0),
        weekday: int = 1,
        *,
        strict: bool = True,
    ) -> T:
        """Converts series or expr of `str` values in ISO Week format YYYY-WNN to a series or expr of `pl.Date` values.

        `offset` represents how many days to add to the date before converting to `pl.Date`, and it can be negative.

        `weekday` represents the weekday to use for conversion in ISO Week format (1-7), where 1 is the first day of the
        week, 7 is the last one.

        Arguments:
            offset: Offset in days or `timedelta`. It represents how many days to add to the date before converting to
                IsoWeek, it can be negative.
            weekday: Weekday to use for conversion (1-7).
            strict: Raise an error if the values cannot be converted to datetime. Otherwise mask out with a null value.

        Returns:
            Series or Expr of converted date values

        Raises:
            TypeError: If `offset` is not of type `timedelta` or `int`
            ValueError: If `weekday` is not an integer between 1 and 7

        Examples:
            >>> from datetime import timedelta
            >>> import polars as pl
            >>> from iso_week_date.polars_utils import SeriesIsoWeek  # noqa: F401
            >>>
            >>> s = pl.Series(["2022-W52", "2023-W01", "2023-W02"])
            >>> s.iwd.isoweek_to_datetime(offset=timedelta(days=1))  # doctest: +NORMALIZE_WHITESPACE
            shape: (3,)
            Series: '' [date]
            [
                2022-12-27
                2023-01-03
                2023-01-10
            ]
        """
        return isoweek_to_datetime(self._series, offset=offset, weekday=weekday, strict=strict)

    def isoweekdate_to_datetime(self: Self, offset: OffsetType = timedelta(0), *, strict: bool = True) -> T:
        """Converts `str` series or expr of ISO Week date format YYYY-WNN-D to a series or expr of `pl.Date` values.

        `offset` represents how many days to add to the date before converting to `pl.Date`, and it can be negative.

        Arguments:
            offset: Offset in days or `timedelta`. It represents how many days to add to the date before converting to
                IsoWeek, it can be negative.
            strict: Raise an error if the values cannot be converted to datetime. Otherwise mask out with a null value.

        Returns:
            Series or Expr of converted date values

        Raises:
            TypeError: If `offset` is not of type `timedelta` or `int`

        Examples:
            >>> from datetime import timedelta
            >>> import polars as pl
            >>> from iso_week_date.polars_utils import SeriesIsoWeek  # noqa: F401
            >>>
            >>> s = pl.Series(["2022-W52-7", "2023-W01-1", "2023-W02-1"])
            >>> s.iwd.isoweekdate_to_datetime(offset=timedelta(days=1))  # doctest: +NORMALIZE_WHITESPACE
            shape: (3,)
            Series: '' [date]
            [
                2023-01-02
                2023-01-03
                2023-01-10
            ]
        """
        return isoweekdate_to_datetime(self._series, offset=offset, strict=strict)

    def is_isoweek(self: Self) -> bool:
        """Checks if a series or expr contains only values in ISO Week format.

        Returns:
            `True` if all values match ISO Week format, `False` otherwise

        Examples:
            >>> import polars as pl
            >>> from iso_week_date.polars_utils import SeriesIsoWeek  # noqa: F401
            >>>
            >>> s = pl.Series(["2022-W52", "2023-W01", "2023-W02"])
            >>> s.iwd.is_isoweek()
            True
        """
        return is_isoweek_series(self._series)

    def is_isoweekdate(self: Self) -> bool:
        """Checks if a series or expr contains only values in ISO Week date format.

        Returns:
            `True` if all values match ISO Week date format, `False` otherwise

        Examples:
            >>> import polars as pl
            >>> from iso_week_date.polars_utils import SeriesIsoWeek  # noqa: F401
            >>>
            >>> s = pl.Series(["2022-W52-1", "2023-W01-1", "2023-W02-1"])
            >>> s.iwd.is_isoweekdate()
            True
        """
        return is_isoweekdate_series(self._series)

datetime_to_isoweek 

datetime_to_isoweek(offset: OffsetType = timedelta(0)) -> T

Converts date(time) series/expr to str values representing ISO Week format YYYY-WNN.

Parameters:

Name Type Description Default
offset OffsetType

offset in days or timedelta. It represents how many days to add to the date before converting to ISO Week, it can be negative

 timedelta(0)

Returns:

Type Description
T

Series or Expr with converted ISO Week values (in format YYYY-WNN)

Raises:

Type Description
TypeError

If offset is not of type timedelta or int

Examples:

>>> from datetime import date, timedelta
>>> import polars as pl
>>> from iso_week_date.polars_utils import SeriesIsoWeek  # noqa: F401
>>>
>>> s = pl.date_range(date(2023, 1, 1), date(2023, 1, 5), interval="1d", eager=True)
>>> s.iwd.datetime_to_isoweek(offset=timedelta(days=1))
shape: (5,)
Series: 'literal' [str]
[
    "2022-W52"
    "2022-W52"
    "2023-W01"
    "2023-W01"
    "2023-W01"
]
>>> df = pl.DataFrame({"date": s})
>>> df.select(pl.col("date").iwd.datetime_to_isoweek(offset=1))
shape: (5, 1)
┌──────────┐
│ date     │
│ ---      │
│ str      │
╞══════════╡
│ 2022-W52 │
│ 2022-W52 │
│ 2023-W01 │
│ 2023-W01 │
│ 2023-W01 │
└──────────┘
Source code in iso_week_date/polars_utils.py 
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def datetime_to_isoweek(self: Self, offset: OffsetType = timedelta(0)) -> T:
    """Converts `date(time)` `series/expr` to `str` values representing ISO Week format YYYY-WNN.

    Arguments:
        offset: offset in days or `timedelta`. It represents how many days to add to the date before converting to
            ISO Week, it can be negative

    Returns:
        Series or Expr with converted ISO Week values (in format YYYY-WNN)

    Raises:
        TypeError: If `offset` is not of type `timedelta` or `int`

    Examples:
        >>> from datetime import date, timedelta
        >>> import polars as pl
        >>> from iso_week_date.polars_utils import SeriesIsoWeek  # noqa: F401
        >>>
        >>> s = pl.date_range(date(2023, 1, 1), date(2023, 1, 5), interval="1d", eager=True)
        >>> s.iwd.datetime_to_isoweek(offset=timedelta(days=1))  # doctest: +NORMALIZE_WHITESPACE
        shape: (5,)
        Series: 'literal' [str]
        [
            "2022-W52"
            "2022-W52"
            "2023-W01"
            "2023-W01"
            "2023-W01"
        ]
        >>> df = pl.DataFrame({"date": s})
        >>> df.select(pl.col("date").iwd.datetime_to_isoweek(offset=1))
        shape: (5, 1)
        ┌──────────┐
        │ date     │
        │ ---      │
        │ str      │
        ╞══════════╡
        │ 2022-W52 │
        │ 2022-W52 │
        │ 2023-W01 │
        │ 2023-W01 │
        │ 2023-W01 │
        └──────────┘
    """
    return datetime_to_isoweek(self._series, offset=offset)

datetime_to_isoweekdate 

datetime_to_isoweekdate(offset: OffsetType = timedelta(0)) -> T

Converts date(time) series/expr to str values representing ISO Week date format YYYY-WNN-D.

Parameters:

Name Type Description Default
offset OffsetType

offset in days or timedelta. It represents how many days to add to the date before converting to ISO Week, it can be negative

 timedelta(0)

Returns:

Type Description
T

Series or Expr with converted ISO Week values (in format YYYY-WNN-D)

Raises:

Type Description
TypeError

If offset is not of type timedelta or int

Examples:

>>> from datetime import date, timedelta
>>> import polars as pl
>>> from iso_week_date.polars_utils import SeriesIsoWeek  # noqa: F401
>>>
>>> s = pl.date_range(date(2023, 1, 1), date(2023, 1, 5), interval="1d", eager=True)
>>> s.iwd.datetime_to_isoweekdate(offset=timedelta(days=1))
shape: (5,)
Series: 'literal' [str]
[
    "2022-W52-6"
    "2022-W52-7"
    "2023-W01-1"
    "2023-W01-2"
    "2023-W01-3"
]
>>> df = pl.DataFrame({"date": s})
>>> df.select(pl.col("date").iwd.datetime_to_isoweekdate(offset=1))
shape: (5, 1)
┌────────────┐
│ date       │
│ ---        │
│ str        │
╞════════════╡
│ 2022-W52-6 │
│ 2022-W52-7 │
│ 2023-W01-1 │
│ 2023-W01-2 │
│ 2023-W01-3 │
└────────────┘
Source code in iso_week_date/polars_utils.py 
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def datetime_to_isoweekdate(self: Self, offset: OffsetType = timedelta(0)) -> T:
    """Converts `date(time)` `series/expr` to `str` values representing ISO Week date format YYYY-WNN-D.

    Arguments:
        offset: offset in days or `timedelta`. It represents how many days to add to the date before converting to
            ISO Week, it can be negative

    Returns:
        Series or Expr with converted ISO Week values (in format YYYY-WNN-D)

    Raises:
        TypeError: If `offset` is not of type `timedelta` or `int`

    Examples:
        >>> from datetime import date, timedelta
        >>> import polars as pl
        >>> from iso_week_date.polars_utils import SeriesIsoWeek  # noqa: F401
        >>>
        >>> s = pl.date_range(date(2023, 1, 1), date(2023, 1, 5), interval="1d", eager=True)
        >>> s.iwd.datetime_to_isoweekdate(offset=timedelta(days=1))  # doctest: +NORMALIZE_WHITESPACE
        shape: (5,)
        Series: 'literal' [str]
        [
            "2022-W52-6"
            "2022-W52-7"
            "2023-W01-1"
            "2023-W01-2"
            "2023-W01-3"
        ]
        >>> df = pl.DataFrame({"date": s})
        >>> df.select(pl.col("date").iwd.datetime_to_isoweekdate(offset=1))
        shape: (5, 1)
        ┌────────────┐
        │ date       │
        │ ---        │
        │ str        │
        ╞════════════╡
        │ 2022-W52-6 │
        │ 2022-W52-7 │
        │ 2023-W01-1 │
        │ 2023-W01-2 │
        │ 2023-W01-3 │
        └────────────┘
    """
    return datetime_to_isoweekdate(self._series, offset=offset)

is_isoweek 

is_isoweek() -> bool

Checks if a series or expr contains only values in ISO Week format.

Returns:

Type Description
bool

True if all values match ISO Week format, False otherwise

Examples:

>>> import polars as pl
>>> from iso_week_date.polars_utils import SeriesIsoWeek  # noqa: F401
>>>
>>> s = pl.Series(["2022-W52", "2023-W01", "2023-W02"])
>>> s.iwd.is_isoweek()
True
Source code in iso_week_date/polars_utils.py 
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def is_isoweek(self: Self) -> bool:
    """Checks if a series or expr contains only values in ISO Week format.

    Returns:
        `True` if all values match ISO Week format, `False` otherwise

    Examples:
        >>> import polars as pl
        >>> from iso_week_date.polars_utils import SeriesIsoWeek  # noqa: F401
        >>>
        >>> s = pl.Series(["2022-W52", "2023-W01", "2023-W02"])
        >>> s.iwd.is_isoweek()
        True
    """
    return is_isoweek_series(self._series)

is_isoweekdate 

is_isoweekdate() -> bool

Checks if a series or expr contains only values in ISO Week date format.

Returns:

Type Description
bool

True if all values match ISO Week date format, False otherwise

Examples:

>>> import polars as pl
>>> from iso_week_date.polars_utils import SeriesIsoWeek  # noqa: F401
>>>
>>> s = pl.Series(["2022-W52-1", "2023-W01-1", "2023-W02-1"])
>>> s.iwd.is_isoweekdate()
True
Source code in iso_week_date/polars_utils.py 
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def is_isoweekdate(self: Self) -> bool:
    """Checks if a series or expr contains only values in ISO Week date format.

    Returns:
        `True` if all values match ISO Week date format, `False` otherwise

    Examples:
        >>> import polars as pl
        >>> from iso_week_date.polars_utils import SeriesIsoWeek  # noqa: F401
        >>>
        >>> s = pl.Series(["2022-W52-1", "2023-W01-1", "2023-W02-1"])
        >>> s.iwd.is_isoweekdate()
        True
    """
    return is_isoweekdate_series(self._series)

isoweek_to_datetime 

isoweek_to_datetime(
    offset: OffsetType = timedelta(0), weekday: int = 1, *, strict: bool = True
) -> T

Converts series or expr of str values in ISO Week format YYYY-WNN to a series or expr of pl.Date values.

offset represents how many days to add to the date before converting to pl.Date, and it can be negative.

weekday represents the weekday to use for conversion in ISO Week format (1-7), where 1 is the first day of the week, 7 is the last one.

Parameters:

Name Type Description Default
offset OffsetType

Offset in days or timedelta. It represents how many days to add to the date before converting to IsoWeek, it can be negative.

 timedelta(0)
weekday int

Weekday to use for conversion (1-7).

 1
strict bool

Raise an error if the values cannot be converted to datetime. Otherwise mask out with a null value.

 True

Returns:

Type Description
T

Series or Expr of converted date values

Raises:

Type Description
TypeError

If offset is not of type timedelta or int
ValueError

If weekday is not an integer between 1 and 7

Examples:

>>> from datetime import timedelta
>>> import polars as pl
>>> from iso_week_date.polars_utils import SeriesIsoWeek  # noqa: F401
>>>
>>> s = pl.Series(["2022-W52", "2023-W01", "2023-W02"])
>>> s.iwd.isoweek_to_datetime(offset=timedelta(days=1))
shape: (3,)
Series: '' [date]
[
    2022-12-27
    2023-01-03
    2023-01-10
]
Source code in iso_week_date/polars_utils.py 
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def isoweek_to_datetime(
    self: Self,
    offset: OffsetType = timedelta(0),
    weekday: int = 1,
    *,
    strict: bool = True,
) -> T:
    """Converts series or expr of `str` values in ISO Week format YYYY-WNN to a series or expr of `pl.Date` values.

    `offset` represents how many days to add to the date before converting to `pl.Date`, and it can be negative.

    `weekday` represents the weekday to use for conversion in ISO Week format (1-7), where 1 is the first day of the
    week, 7 is the last one.

    Arguments:
        offset: Offset in days or `timedelta`. It represents how many days to add to the date before converting to
            IsoWeek, it can be negative.
        weekday: Weekday to use for conversion (1-7).
        strict: Raise an error if the values cannot be converted to datetime. Otherwise mask out with a null value.

    Returns:
        Series or Expr of converted date values

    Raises:
        TypeError: If `offset` is not of type `timedelta` or `int`
        ValueError: If `weekday` is not an integer between 1 and 7

    Examples:
        >>> from datetime import timedelta
        >>> import polars as pl
        >>> from iso_week_date.polars_utils import SeriesIsoWeek  # noqa: F401
        >>>
        >>> s = pl.Series(["2022-W52", "2023-W01", "2023-W02"])
        >>> s.iwd.isoweek_to_datetime(offset=timedelta(days=1))  # doctest: +NORMALIZE_WHITESPACE
        shape: (3,)
        Series: '' [date]
        [
            2022-12-27
            2023-01-03
            2023-01-10
        ]
    """
    return isoweek_to_datetime(self._series, offset=offset, weekday=weekday, strict=strict)

isoweekdate_to_datetime 

isoweekdate_to_datetime(
    offset: OffsetType = timedelta(0), *, strict: bool = True
) -> T

Converts str series or expr of ISO Week date format YYYY-WNN-D to a series or expr of pl.Date values.

offset represents how many days to add to the date before converting to pl.Date, and it can be negative.

Parameters:

Name Type Description Default
offset OffsetType

Offset in days or timedelta. It represents how many days to add to the date before converting to IsoWeek, it can be negative.

 timedelta(0)
strict bool

Raise an error if the values cannot be converted to datetime. Otherwise mask out with a null value.

 True

Returns:

Type Description
T

Series or Expr of converted date values

Raises:

Type Description
TypeError

If offset is not of type timedelta or int

Examples:

>>> from datetime import timedelta
>>> import polars as pl
>>> from iso_week_date.polars_utils import SeriesIsoWeek  # noqa: F401
>>>
>>> s = pl.Series(["2022-W52-7", "2023-W01-1", "2023-W02-1"])
>>> s.iwd.isoweekdate_to_datetime(offset=timedelta(days=1))
shape: (3,)
Series: '' [date]
[
    2023-01-02
    2023-01-03
    2023-01-10
]
Source code in iso_week_date/polars_utils.py 
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def isoweekdate_to_datetime(self: Self, offset: OffsetType = timedelta(0), *, strict: bool = True) -> T:
    """Converts `str` series or expr of ISO Week date format YYYY-WNN-D to a series or expr of `pl.Date` values.

    `offset` represents how many days to add to the date before converting to `pl.Date`, and it can be negative.

    Arguments:
        offset: Offset in days or `timedelta`. It represents how many days to add to the date before converting to
            IsoWeek, it can be negative.
        strict: Raise an error if the values cannot be converted to datetime. Otherwise mask out with a null value.

    Returns:
        Series or Expr of converted date values

    Raises:
        TypeError: If `offset` is not of type `timedelta` or `int`

    Examples:
        >>> from datetime import timedelta
        >>> import polars as pl
        >>> from iso_week_date.polars_utils import SeriesIsoWeek  # noqa: F401
        >>>
        >>> s = pl.Series(["2022-W52-7", "2023-W01-1", "2023-W02-1"])
        >>> s.iwd.isoweekdate_to_datetime(offset=timedelta(days=1))  # doctest: +NORMALIZE_WHITESPACE
        shape: (3,)
        Series: '' [date]
        [
            2023-01-02
            2023-01-03
            2023-01-10
        ]
    """
    return isoweekdate_to_datetime(self._series, offset=offset, strict=strict)