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

    Examples
    --------
    >>> data = pd.DataFrame([[1.0, 1]], columns=['a', 'b'])
    >>> writer = StataWriter('./data_file.dta', data)
    >>> writer.write_file()

    Directly write a zip file
    >>> compression = {{"method": "zip", "archive_name": "data_file.dta"}}
    >>> writer = StataWriter('./data_file.zip', data, compression=compression)
    >>> writer.write_file()

    Save a DataFrame with dates
    >>> from datetime import datetime
    >>> data = pd.DataFrame([[datetime(2000,1,1)]], columns=['date'])
    >>> writer = StataWriter('./date_data_file.dta', data, {{'date' : 'tw'}})
    >>> writer.write_file()
    rī