def dt_is_leap_year(x):
    """Check whether a year is a leap year.

    :returns: an expression which evaluates to True if a year is a leap year, and to False otherwise.

    Example:

    >>> import vaex
    >>> import numpy as np
    >>> date = np.array(['2009-10-12T03:31:00', '2016-02-11T10:17:34', '2015-11-12T11:34:22'], dtype=np.datetime64)
    >>> df = vaex.from_arrays(date=date)
    >>> df
      #  date
      0  2009-10-12 03:31:00
      1  2016-02-11 10:17:34
      2  2015-11-12 11:34:22

    >>> df.date.dt.is_leap_year
    Expression = dt_is_leap_year(date)
    Length: 3 dtype: bool (expression)
    ----------------------------------
    0  False
    1   True
    2  False
    """
    import pandas as pd
    return pd.Series(x).dt.is_leap_year.values
def dt_is_leap_year(x):
    
    import pandas as pd
    return pd.Series(x).dt.is_leap_year.values
def dt_is_leap_year ( x ) : import pandas as pd return pd . Series ( x ) . dt . is_leap_year . values
Check whether a year is a leap year.

    :returns: an expression which evaluates to True if a year is a leap year, and to False otherwise.

    Example:

    >>> import vaex
    >>> import numpy as np
    >>> date = np.array(['2009-10-12T03:31:00', '2016-02-11T10:17:34', '2015-11-12T11:34:22'], dtype=np.datetime64)
    >>> df = vaex.from_arrays(date=date)
    >>> df
      #  date
      0  2009-10-12 03:31:00
      1  2016-02-11 10:17:34
      2  2015-11-12 11:34:22

    >>> df.date.dt.is_leap_year
    Expression = dt_is_leap_year(date)
    Length: 3 dtype: bool (expression)
    ----------------------------------
    0  False
    1   True
    2  False
Check whether a year is a leap year .