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Pandas utils module

Functions

iso_week_date.pandas_utils.datetime_to_isoweek(series, offset=0)

Converts series of date or datetime values to str values representing ISO Week format YYYY-WNN.

Parameters:

Name Type Description Default
series Series[Timestamp]

series of date or datetime values

 required
offset OffsetType

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

 0

Returns:

Type Description
Series[str]

Series 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 pd.Series
  • series values are not datetime-like
  • offset is not of type pd.Timedelta or int

Examples: 

from datetime import date
import pandas as pd
from iso_week_date.pandas_utils import datetime_to_isoweek

s = pd.Series(pd.date_range(date(2023, 1, 1), date(2023, 1, 10), freq="1d"))
datetime_to_isoweek(series=s, offset=pd.Timedelta(days=1)).to_list()
# ['2022-W52', '2022-W52', '2023-W01',..., '2023-W01', '2023-W02']

Source code in iso_week_date/pandas_utils.py 
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def datetime_to_isoweek(series: pd.Series[pd.Timestamp], offset: OffsetType = 0) -> pd.Series[str]:
    """Converts series of `date` or `datetime` values to `str` values representing ISO Week format YYYY-WNN.

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

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

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

            - `series` is not of type `pd.Series`
            - `series` values are not `datetime`-like
            - `offset` is not of type `pd.Timedelta` or `int`

    Examples:
    ```py
    from datetime import date
    import pandas as pd
    from iso_week_date.pandas_utils import datetime_to_isoweek

    s = pd.Series(pd.date_range(date(2023, 1, 1), date(2023, 1, 10), freq="1d"))
    datetime_to_isoweek(series=s, offset=pd.Timedelta(days=1)).to_list()
    # ['2022-W52', '2022-W52', '2023-W01',..., '2023-W01', '2023-W02']
    ```
    """
    return _datetime_to_format(series, offset, ISOWEEK__DATE_FORMAT)

iso_week_date.pandas_utils.datetime_to_isoweekdate(series, offset=0)

Converts series of date or datetime values to str values representing ISO Week date format YYYY-WNN-D.

Parameters:

Name Type Description Default
series Series

series of date or datetime values

 required
offset OffsetType

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

 0

Returns:

Type Description
Series

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

Raises:

Type Description
TypeError

If any of the following condition is met:

  • series is not of type pd.Series
  • series values are not datetime-like
  • offset is not of type pd.Timedelta or int

Examples: 

from datetime import date
import pandas as pd
from iso_week_date.pandas_utils import datetime_to_isoweekdate

s = pd.Series(pd.date_range(date(2023, 1, 1), date(2023, 1, 10), freq="1d"))
datetime_to_isoweekdate(series=s, offset=pd.Timedelta(days=1)).to_list()
# ['2022-W52-6', '2022-W52-7', '2023-W01-1',..., '2023-W01-7', '2023-W02-1']

Source code in iso_week_date/pandas_utils.py 
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def datetime_to_isoweekdate(series: pd.Series, offset: OffsetType = 0) -> pd.Series:
    """Converts series of `date` or `datetime` values to `str` values representing ISO Week date format YYYY-WNN-D.

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

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

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

            - `series` is not of type `pd.Series`
            - `series` values are not `datetime`-like
            - `offset` is not of type `pd.Timedelta` or `int`

    Examples:
    ```py
    from datetime import date
    import pandas as pd
    from iso_week_date.pandas_utils import datetime_to_isoweekdate

    s = pd.Series(pd.date_range(date(2023, 1, 1), date(2023, 1, 10), freq="1d"))
    datetime_to_isoweekdate(series=s, offset=pd.Timedelta(days=1)).to_list()
    # ['2022-W52-6', '2022-W52-7', '2023-W01-1',..., '2023-W01-7', '2023-W02-1']
    ```
    """
    return _datetime_to_format(series, offset, ISOWEEKDATE__DATE_FORMAT)

iso_week_date.pandas_utils.isoweek_to_datetime(series, offset=0, weekday=1, *, strict=True)

Converts series of str values in ISO Week format to a series of datetime values.

offset represents how many days to add to the date before converting to datetime 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 Series[str]

Series of str values in ISO Week format.

 required
offset OffsetType

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

 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
Series[Timestamp]

Series of converted datetime values

Raises:

Type Description
TypeError

If any of the following condition is met:

  • series is not of type pd.Series
  • offset is not of type pd.Timedelta or int
ValueError

If weekday is not an integer between 1 and 7

Examples: 

import pandas as pd

from iso_week_date.pandas_utils import isoweek_to_datetime

s = pd.Series(["2022-W52", "2023-W01", "2023-W02"])
isoweek_to_datetime(series=s, offset=pd.Timedelta(days=1))
'''
0   2022-12-27
1   2023-01-03
2   2023-01-10
dtype: datetime64[ns]
'''

Source code in iso_week_date/pandas_utils.py 
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def isoweek_to_datetime(
    series: pd.Series[str],
    offset: OffsetType = 0,
    weekday: int = 1,
    *,
    strict: bool = True,
) -> pd.Series[pd.Timestamp]:
    """Converts series of `str` values in ISO Week format to a series of `datetime` values.

    `offset` represents how many days to add to the date before converting to datetime 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 of `str` values in ISO Week format.
        offset: Offset in days or pd.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 of converted datetime values

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

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

    Examples:
    ```py
    import pandas as pd

    from iso_week_date.pandas_utils import isoweek_to_datetime

    s = pd.Series(["2022-W52", "2023-W01", "2023-W02"])
    isoweek_to_datetime(series=s, offset=pd.Timedelta(days=1))
    '''
    0   2022-12-27
    1   2023-01-03
    2   2023-01-10
    dtype: datetime64[ns]
    '''
    ```
    """
    if not isinstance(offset, (pd.Timedelta, int)):
        msg = f"`offset` must be of type `pd.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: pd.Timedelta = pd.Timedelta(days=offset) if isinstance(offset, int) else offset
    errors: ErrorT = "raise" if strict else "coerce"
    return pd.to_datetime(series + "-" + f"{weekday}", errors=errors, format=ISOWEEKDATE__DATE_FORMAT) + _offset

iso_week_date.pandas_utils.isoweekdate_to_datetime(series, offset=0, *, strict=True)

Converts series of str values in ISO Week date format to a series of datetime values.

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

Parameters:

Name Type Description Default
series Series[str]

series of str in ISO Week date format.

 required
offset OffsetType

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

 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
Series[Timestamp]

Series of converted datetime values

Raises:

Type Description
TypeError

If one of the following condition is met:

  • series is not of type pd.Series
  • offset is not of type pd.Timedelta or int

Examples: 

import pandas as pd
from iso_week_date.pandas_utils import isoweekdate_to_datetime

s = pd.Series(["2022-W52-1", "2023-W01-1", "2023-W02-1"])
isoweekdate_to_datetime(series=s, offset=pd.Timedelta(days=1))
'''
0   2022-12-27
1   2023-01-03
2   2023-01-10
dtype: datetime64[ns]
'''

Source code in iso_week_date/pandas_utils.py 
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def isoweekdate_to_datetime(
    series: pd.Series[str],
    offset: OffsetType = 0,
    *,
    strict: bool = True,
) -> pd.Series[pd.Timestamp]:
    """Converts series of `str` values in ISO Week date format to a series of `datetime` values.

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

    Arguments:
        series: series of `str` in ISO Week date format.
        offset: offset in days or pd.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 of converted datetime values

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

            - `series` is not of type `pd.Series`
            - `offset` is not of type `pd.Timedelta` or `int`

    Examples:
    ```py
    import pandas as pd
    from iso_week_date.pandas_utils import isoweekdate_to_datetime

    s = pd.Series(["2022-W52-1", "2023-W01-1", "2023-W02-1"])
    isoweekdate_to_datetime(series=s, offset=pd.Timedelta(days=1))
    '''
    0   2022-12-27
    1   2023-01-03
    2   2023-01-10
    dtype: datetime64[ns]
    '''
    ```
    """
    if not isinstance(offset, (pd.Timedelta, int)):
        msg = f"`offset` must be of type `pd.Timedelta` or `int`, found {type(offset)}"
        raise TypeError(msg)

    _offset: pd.Timedelta = pd.Timedelta(days=offset) if isinstance(offset, int) else offset
    errors: ErrorT = "raise" if strict else "coerce"
    return pd.to_datetime(series, errors=errors, format=ISOWEEKDATE__DATE_FORMAT) + _offset

iso_week_date.pandas_utils.is_isoweek_series(series)

Checks if series contains only values in ISO Week format.

Parameters:

Name Type Description Default
series Series

series 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 pd.Series

Examples: 

import pandas as pd

from iso_week_date.pandas_utils import is_isoweek_series

s = pd.Series(["2022-W52", "2023-W01", "2023-W02"])
is_isoweek_series(series=s)  # True

Source code in iso_week_date/pandas_utils.py 
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def is_isoweek_series(series: pd.Series) -> bool:
    """Checks if `series` contains only values in ISO Week format.

    Arguments:
        series: series 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 `pd.Series`

    Examples:
    ```py
    import pandas as pd

    from iso_week_date.pandas_utils import is_isoweek_series

    s = pd.Series(["2022-W52", "2023-W01", "2023-W02"])
    is_isoweek_series(series=s)  # True
    ```
    """
    return _match_series(series, ISOWEEK_PATTERN.pattern)

iso_week_date.pandas_utils.is_isoweekdate_series(series)

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

Parameters:

Name Type Description Default
series Series

series 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 pd.Series

Examples: 

import pandas as pd

from iso_week_date.pandas_utils import is_isoweekdate_series

s = pd.Series(["2022-W52-1", "2023-W01-1", "2023-W02-1"])
is_isoweekdate_series(series=s)  # True

Source code in iso_week_date/pandas_utils.py 
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def is_isoweekdate_series(series: pd.Series) -> bool:
    """Checks if `series` contains only values in ISO Week date format.

    Arguments:
        series: series 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 `pd.Series`

    Examples:
    ```py
    import pandas as pd

    from iso_week_date.pandas_utils import is_isoweekdate_series

    s = pd.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.pandas_utils.SeriesIsoWeek

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

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

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

from datetime import date
import pandas as pd
from iso_week_date.pandas_utils import SeriesIsoWeek  # noqa: F401

s = pd.Series(pd.date_range(date(2023, 1, 1), date(2023, 1, 10), freq="1d"))
s.iwd.datetime_to_isoweek(offset=pd.Timedelta(days=1)).to_list()
# ['2022-W52', '2022-W52', '2023-W01',..., '2023-W01', '2023-W02']
Parameters: series: The pandas Series object the extension is attached to.

Attributes:

Name Type Description
_series Series

The pandas Series object the extension is attached to.
Source code in iso_week_date/pandas_utils.py 
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@pd.api.extensions.register_series_accessor("iwd")
class SeriesIsoWeek:
    """Pandas Series extension that provides methods for working with ISO weeks and dates.

    Instead of importing and working with single functions from the `pandas_utils` module, it is possible to import the
    Series [extension class](https://pandas.pydata.org/docs/development/extending.html) to be able to use the functions
    as methods on Series objects.

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

    ```python hl_lines="3 6"
    from datetime import date
    import pandas as pd
    from iso_week_date.pandas_utils import SeriesIsoWeek  # noqa: F401

    s = pd.Series(pd.date_range(date(2023, 1, 1), date(2023, 1, 10), freq="1d"))
    s.iwd.datetime_to_isoweek(offset=pd.Timedelta(days=1)).to_list()
    # ['2022-W52', '2022-W52', '2023-W01',..., '2023-W01', '2023-W02']
    ```
    Parameters:
        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: pd.Series) -> None:
        self._series: pd.Series = series

    def datetime_to_isoweek(self: Self, offset: OffsetType = 0) -> pd.Series:
        """Converts series of `date` or `datetime` values to `str` values representing ISO Week format YYYY-WNN.

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

        Returns:
            ISO Week pandas series in format YYYY-WNN

        Raises:
            TypeError: If series values are not `datetime`, or if `offset` is not of type `pd.Timedelta` or `int`

        Examples:
        ```py
        from datetime import date
        import pandas as pd
        from iso_week_date.pandas_utils import SeriesIsoWeek  # noqa: F401

        s = pd.Series(pd.date_range(date(2023, 1, 1), date(2023, 1, 10), freq="1d"))
        s.iwd.datetime_to_isoweek(offset=pd.Timedelta(days=1)).to_list()
        # ['2022-W52', '2022-W52', '2023-W01',..., '2023-W01', '2023-W02']
        ```
        """
        return datetime_to_isoweek(self._series, offset=offset)

    def datetime_to_isoweekdate(self: Self, offset: OffsetType = 0) -> pd.Series:
        """Converts series of `date` or `datetime` values to `str` values representing ISO Week date format YYYY-WNN-D.

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

        Returns:
            ISO Week date pandas series in format YYYY-WNN-D

        Raises:
            TypeError: If series values are not `datetime`, or if `offset` is not of type `pd.Timedelta` or `int`

        Examples:
        ```py
        from datetime import date
        import pandas as pd
        from iso_week_date.pandas_utils import SeriesIsoWeek  # noqa: F401

        s = pd.Series(pd.date_range(date(2023, 1, 1), date(2023, 1, 10), freq="1d"))
        s.iwd.datetime_to_isoweekdate(offset=pd.Timedelta(days=1)).to_list()
        # ['2022-W52-6', '2022-W52-7', '2023-W01-1',..., '2023-W01-7', '2023-W02-1']
        ```
        """
        return datetime_to_isoweekdate(self._series, offset=offset)

    def isoweek_to_datetime(
        self: Self,
        offset: OffsetType = 0,
        weekday: int = 1,
        *,
        strict: bool = True,
    ) -> pd.Series:
        """Converts series of `str` values in ISO Week format to a series of `datetime` values.

        `offset` represents how many days to add to the date before converting to datetime 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 pd.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 of converted datetime values

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

        Examples:
        ```py
        import pandas as pd
        from iso_week_date.pandas_utils import SeriesIsoWeek  # noqa: F401

        s = pd.Series(["2022-W52", "2023-W01", "2023-W02"])
        s.iwd.isoweek_to_datetime(offset=pd.Timedelta(days=1))
        '''
        0   2022-12-27
        1   2023-01-03
        2   2023-01-10
        dtype: datetime64[ns]
        '''
        ```
        """
        return isoweek_to_datetime(self._series, offset=offset, weekday=weekday, strict=strict)

    def isoweekdate_to_datetime(self: Self, offset: OffsetType = 0, *, strict: bool = True) -> pd.Series:
        """Converts series of `str` values in ISO Week date format to a series of `datetime` values.

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

        Arguments:
            offset: Offset in days or pd.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 of converted datetime values

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

        Examples:
        ```py
        import pandas as pd
        from iso_week_date.pandas_utils import SeriesIsoWeek  # noqa: F401

        s = pd.Series(["2022-W52-1", "2023-W01-1", "2023-W02-1"])
        s.iwd.isoweekdate_to_datetime(offset=pd.Timedelta(days=1))
        '''
        0   2022-12-27
        1   2023-01-03
        2   2023-01-10
        dtype: datetime64[ns]
        '''
        ```
        """
        return isoweekdate_to_datetime(self._series, offset=offset, strict=strict)

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

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

        Examples:
        ```py
        import pandas as pd
        from iso_week_date.pandas_utils import SeriesIsoWeek  # noqa: F401

        s = pd.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 series contains only values in ISO Week date format.

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

        Examples:
        ```py
        import pandas as pd
        from iso_week_date.pandas_utils import SeriesIsoWeek  # noqa: F401

        s = pd.Series(["2022-W52-1", "2023-W01-1", "2023-W02-1"])
        s.iwd.is_isoweekdate()  # True
        ```
        """
        return is_isoweekdate_series(self._series)

datetime_to_isoweek(offset=0)

Converts series of date or datetime values to str values representing ISO Week format YYYY-WNN.

Parameters:

Name Type Description Default
offset OffsetType

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

 0

Returns:

Type Description
Series

ISO Week pandas series in format YYYY-WNN

Raises:

Type Description
TypeError

If series values are not datetime, or if offset is not of type pd.Timedelta or int

Examples: 

from datetime import date
import pandas as pd
from iso_week_date.pandas_utils import SeriesIsoWeek  # noqa: F401

s = pd.Series(pd.date_range(date(2023, 1, 1), date(2023, 1, 10), freq="1d"))
s.iwd.datetime_to_isoweek(offset=pd.Timedelta(days=1)).to_list()
# ['2022-W52', '2022-W52', '2023-W01',..., '2023-W01', '2023-W02']

Source code in iso_week_date/pandas_utils.py 
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def datetime_to_isoweek(self: Self, offset: OffsetType = 0) -> pd.Series:
    """Converts series of `date` or `datetime` values to `str` values representing ISO Week format YYYY-WNN.

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

    Returns:
        ISO Week pandas series in format YYYY-WNN

    Raises:
        TypeError: If series values are not `datetime`, or if `offset` is not of type `pd.Timedelta` or `int`

    Examples:
    ```py
    from datetime import date
    import pandas as pd
    from iso_week_date.pandas_utils import SeriesIsoWeek  # noqa: F401

    s = pd.Series(pd.date_range(date(2023, 1, 1), date(2023, 1, 10), freq="1d"))
    s.iwd.datetime_to_isoweek(offset=pd.Timedelta(days=1)).to_list()
    # ['2022-W52', '2022-W52', '2023-W01',..., '2023-W01', '2023-W02']
    ```
    """
    return datetime_to_isoweek(self._series, offset=offset)

datetime_to_isoweekdate(offset=0)

Converts series of date or datetime values to str values representing ISO Week date format YYYY-WNN-D.

Parameters:

Name Type Description Default
offset OffsetType

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

 0

Returns:

Type Description
Series

ISO Week date pandas series in format YYYY-WNN-D

Raises:

Type Description
TypeError

If series values are not datetime, or if offset is not of type pd.Timedelta or int

Examples: 

from datetime import date
import pandas as pd
from iso_week_date.pandas_utils import SeriesIsoWeek  # noqa: F401

s = pd.Series(pd.date_range(date(2023, 1, 1), date(2023, 1, 10), freq="1d"))
s.iwd.datetime_to_isoweekdate(offset=pd.Timedelta(days=1)).to_list()
# ['2022-W52-6', '2022-W52-7', '2023-W01-1',..., '2023-W01-7', '2023-W02-1']

Source code in iso_week_date/pandas_utils.py 
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def datetime_to_isoweekdate(self: Self, offset: OffsetType = 0) -> pd.Series:
    """Converts series of `date` or `datetime` values to `str` values representing ISO Week date format YYYY-WNN-D.

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

    Returns:
        ISO Week date pandas series in format YYYY-WNN-D

    Raises:
        TypeError: If series values are not `datetime`, or if `offset` is not of type `pd.Timedelta` or `int`

    Examples:
    ```py
    from datetime import date
    import pandas as pd
    from iso_week_date.pandas_utils import SeriesIsoWeek  # noqa: F401

    s = pd.Series(pd.date_range(date(2023, 1, 1), date(2023, 1, 10), freq="1d"))
    s.iwd.datetime_to_isoweekdate(offset=pd.Timedelta(days=1)).to_list()
    # ['2022-W52-6', '2022-W52-7', '2023-W01-1',..., '2023-W01-7', '2023-W02-1']
    ```
    """
    return datetime_to_isoweekdate(self._series, offset=offset)

is_isoweek()

Checks if series contains only values in ISO Week format.

Returns:

Type Description
bool

True if all values match ISO Week format, False otherwise

Examples: 

import pandas as pd
from iso_week_date.pandas_utils import SeriesIsoWeek  # noqa: F401

s = pd.Series(["2022-W52", "2023-W01", "2023-W02"])
s.iwd.is_isoweek()  # True

Source code in iso_week_date/pandas_utils.py 
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def is_isoweek(self: Self) -> bool:
    """Checks if series contains only values in ISO Week format.

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

    Examples:
    ```py
    import pandas as pd
    from iso_week_date.pandas_utils import SeriesIsoWeek  # noqa: F401

    s = pd.Series(["2022-W52", "2023-W01", "2023-W02"])
    s.iwd.is_isoweek()  # True
    ```
    """
    return is_isoweek_series(self._series)

is_isoweekdate()

Checks if series 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 pandas as pd
from iso_week_date.pandas_utils import SeriesIsoWeek  # noqa: F401

s = pd.Series(["2022-W52-1", "2023-W01-1", "2023-W02-1"])
s.iwd.is_isoweekdate()  # True

Source code in iso_week_date/pandas_utils.py 
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def is_isoweekdate(self: Self) -> bool:
    """Checks if series contains only values in ISO Week date format.

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

    Examples:
    ```py
    import pandas as pd
    from iso_week_date.pandas_utils import SeriesIsoWeek  # noqa: F401

    s = pd.Series(["2022-W52-1", "2023-W01-1", "2023-W02-1"])
    s.iwd.is_isoweekdate()  # True
    ```
    """
    return is_isoweekdate_series(self._series)

isoweek_to_datetime(offset=0, weekday=1, *, strict=True)

Converts series of str values in ISO Week format to a series of datetime values.

offset represents how many days to add to the date before converting to datetime 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 pd.Timedelta. It represents how many days to add to the date before converting to IsoWeek, it can be negative.

 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
Series

Series of converted datetime values

Raises:

Type Description
TypeError

If offset is not of type pd.Timedelta or int
ValueError

If weekday is not an integer between 1 and 7

Examples: 

import pandas as pd
from iso_week_date.pandas_utils import SeriesIsoWeek  # noqa: F401

s = pd.Series(["2022-W52", "2023-W01", "2023-W02"])
s.iwd.isoweek_to_datetime(offset=pd.Timedelta(days=1))
'''
0   2022-12-27
1   2023-01-03
2   2023-01-10
dtype: datetime64[ns]
'''

Source code in iso_week_date/pandas_utils.py 
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def isoweek_to_datetime(
    self: Self,
    offset: OffsetType = 0,
    weekday: int = 1,
    *,
    strict: bool = True,
) -> pd.Series:
    """Converts series of `str` values in ISO Week format to a series of `datetime` values.

    `offset` represents how many days to add to the date before converting to datetime 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 pd.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 of converted datetime values

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

    Examples:
    ```py
    import pandas as pd
    from iso_week_date.pandas_utils import SeriesIsoWeek  # noqa: F401

    s = pd.Series(["2022-W52", "2023-W01", "2023-W02"])
    s.iwd.isoweek_to_datetime(offset=pd.Timedelta(days=1))
    '''
    0   2022-12-27
    1   2023-01-03
    2   2023-01-10
    dtype: datetime64[ns]
    '''
    ```
    """
    return isoweek_to_datetime(self._series, offset=offset, weekday=weekday, strict=strict)

isoweekdate_to_datetime(offset=0, *, strict=True)

Converts series of str values in ISO Week date format to a series of datetime values.

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

Parameters:

Name Type Description Default
offset OffsetType

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

 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
Series

Series of converted datetime values

Raises:

Type Description
TypeError

If offset is not of type pd.Timedelta or int
ValueError

If weekday is not an integer between 1 and 7

Examples: 

import pandas as pd
from iso_week_date.pandas_utils import SeriesIsoWeek  # noqa: F401

s = pd.Series(["2022-W52-1", "2023-W01-1", "2023-W02-1"])
s.iwd.isoweekdate_to_datetime(offset=pd.Timedelta(days=1))
'''
0   2022-12-27
1   2023-01-03
2   2023-01-10
dtype: datetime64[ns]
'''

Source code in iso_week_date/pandas_utils.py 
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def isoweekdate_to_datetime(self: Self, offset: OffsetType = 0, *, strict: bool = True) -> pd.Series:
    """Converts series of `str` values in ISO Week date format to a series of `datetime` values.

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

    Arguments:
        offset: Offset in days or pd.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 of converted datetime values

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

    Examples:
    ```py
    import pandas as pd
    from iso_week_date.pandas_utils import SeriesIsoWeek  # noqa: F401

    s = pd.Series(["2022-W52-1", "2023-W01-1", "2023-W02-1"])
    s.iwd.isoweekdate_to_datetime(offset=pd.Timedelta(days=1))
    '''
    0   2022-12-27
    1   2023-01-03
    2   2023-01-10
    dtype: datetime64[ns]
    '''
    ```
    """
    return isoweekdate_to_datetime(self._series, offset=offset, strict=strict)