# Buggy code
def to_stata(
    self,
    fname,
    convert_dates=None,
    write_index=True,
    encoding="latin-1",
    byteorder=None,
    time_stamp=None,
    data_label=None,
    variable_labels=None,
):
    """
    A class for writing Stata binary dta files from array-like objects

    Parameters
    ----------
    fname : str or buffer
        String path of file-like object
    convert_dates : dict
        Dictionary mapping columns containing datetime types to stata
        internal format to use when writing the dates. Options are 'tc',
        'td', 'tm', 'tw', 'th', 'tq', 'ty'. Column can be either an integer
        or a name. Datetime columns that do not have a conversion type
        specified will be converted to 'tc'. Raises NotImplementedError if
        a datetime column has timezone information
    write_index : bool
        Write the index to Stata dataset.
    encoding : str
        Default is latin-1. Unicode is not supported
    byteorder : str
        Can be ">", "<", "little", or "big". default is `sys.byteorder`
    time_stamp : datetime
        A datetime to use as file creation date.  Default is the current
        time.
    dataset_label : str
        A label for the data set.  Must be 80 characters or smaller.
    variable_labels : dict
        Dictionary containing columns as keys and variable labels as
        values. Each label must be 80 characters or smaller.

        .. versionadded:: 0.19.0

    Raises
    ------
    NotImplementedError
        * If datetimes contain timezone information
        * Column dtype is not representable in Stata
    ValueError
        * Columns listed in convert_dates are neither datetime64[ns]
          or datetime.datetime
        * Column listed in convert_dates is not in DataFrame
        * Categorical label contains more than 32,000 characters

        .. versionadded:: 0.19.0

    Examples
    --------
    >>> writer = StataWriter('./data_file.dta', data)
    >>> writer.write_file()

    Or with dates

    >>> writer = StataWriter('./date_data_file.dta', data, {2 : 'tw'})
    >>> writer.write_file()
    """
    from pandas.io.stata import StataWriter

    writer = StataWriter(
        fname,
        self,
        convert_dates=convert_dates,
        encoding=encoding,
        byteorder=byteorder,
        time_stamp=time_stamp,
        data_label=data_label,
        write_index=write_index,
        variable_labels=variable_labels,
    )
    writer.write_file()


# Traceback (TypeError)
import pandas as pd
df = pd.DataFrame({'col1': [1, 2], 'col2': [3, 4]})
df.to_stata('test.dta', dataset_label='data label')
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
TypeError: to_stata() got an unexpected keyword argument 'dataset_label'
df.to_stata('test.dta', data_label='data label')

# Fixed code
def to_stata(
    self,
    fname,
    convert_dates=None,
    write_index=True,
    encoding="latin-1",
    byteorder=None,
    time_stamp=None,
    data_label=None,
    variable_labels=None,
):
    """
    A class for writing Stata binary dta files from array-like objects

    Parameters
    ----------
    fname : str or buffer
        String path of file-like object
    convert_dates : dict
        Dictionary mapping columns containing datetime types to stata
        internal format to use when writing the dates. Options are 'tc',
        'td', 'tm', 'tw', 'th', 'tq', 'ty'. Column can be either an integer
        or a name. Datetime columns that do not have a conversion type
        specified will be converted to 'tc'. Raises NotImplementedError if
        a datetime column has timezone information
    write_index : bool
        Write the index to Stata dataset.
    encoding : str
        Default is latin-1. Unicode is not supported
    byteorder : str
        Can be ">", "<", "little", or "big". default is `sys.byteorder`
    time_stamp : datetime
        A datetime to use as file creation date.  Default is the current
        time.
    data_label : str
        A label for the data set.  Must be 80 characters or smaller.
    variable_labels : dict
        Dictionary containing columns as keys and variable labels as
        values. Each label must be 80 characters or smaller.

        .. versionadded:: 0.19.0

    Raises
    ------
    NotImplementedError
        * If datetimes contain timezone information
        * Column dtype is not representable in Stata
    ValueError
        * Columns listed in convert_dates are neither datetime64[ns]
          or datetime.datetime
        * Column listed in convert_dates is not in DataFrame
        * Categorical label contains more than 32,000 characters

        .. versionadded:: 0.19.0

    Examples
    --------
    >>> data.to_stata('./data_file.dta')

    Or with dates

    >>> data.to_stata('./date_data_file.dta', {2 : 'tw'})

    Alternatively you can create an instance of the StataWriter class

    >>> writer = StataWriter('./data_file.dta', data)
    >>> writer.write_file()

    With dates:

    >>> writer = StataWriter('./date_data_file.dta', data, {2 : 'tw'})
    >>> writer.write_file()
    """
    from pandas.io.stata import StataWriter

    writer = StataWriter(
        fname,
        self,
        convert_dates=convert_dates,
        encoding=encoding,
        byteorder=byteorder,
        time_stamp=time_stamp,
        data_label=data_label,
        write_index=write_index,
        variable_labels=variable_labels,
    )
    writer.write_file()