How to use the siphon.simplewebservice.wyoming.WyomingUpperAir.request_data function in siphon

parser.add_argument('-d', '--date', help='Date and time to request data for in YYYYMMDDHH.'
                        ' Defaults to most recent 00/12 hour.', type=str)
    parser.add_argument('-g', '--gdrive', help='Google Drive upload path', type=str)
    parser.add_argument('-f', '--filename', help='Image filename', type=str)
    args = parser.parse_args()

    if args.date:
        request_time = datetime.strptime(args.date, '%Y%m%d%H')
    else:
        # Figure out the most recent sounding, 00 or 12. Subtracting two hours
        # helps ensure that we choose a time with data available.
        now = datetime.utcnow() - timedelta(hours=2)
        request_time = now.replace(hour=(now.hour // 12) * 12, minute=0, second=0)

    # Request the data and plot
    df = WyomingUpperAir.request_data(request_time, args.site)
    skewt = plot_skewt(df)

    # Add the timestamp for the data to the plot
    add_timestamp(skewt.ax, request_time, y=1.02, x=0, ha='left', fontsize='large')
    skewt.ax.set_title(args.site)

    if args.show:
        plt.show()
    else:
        fname = args.filename if args.filename else make_name(args.site, request_time)
        if args.gdrive:
            uploader = DriveUploader()
            with tempfile.NamedTemporaryFile(suffix='.png') as f:
                skewt.ax.figure.savefig(f.name)
                uploader.upload_to(f.name, posixpath.join(args.gdrive, fname))
        else:

"""

from datetime import datetime

from metpy.units import units

from siphon.simplewebservice.wyoming import WyomingUpperAir

####################################################
# Create a datetime object for the sounding and string of the station identifier.
date = datetime(2017, 9, 10, 6)
station = 'MFL'

####################################################
# Make the request (a pandas dataframe is returned).
df = WyomingUpperAir.request_data(date, station)

####################################################
# Inspect data columns in the dataframe.
print(df.columns)

####################################################
# Pull out a specific column of data.
print(df['pressure'])

####################################################
# Units are stored in a dictionary with the variable name as the key in the `units` attribute
# of the dataframe.
print(df.units)

####################################################
print(df.units['pressure'])

"""

from datetime import datetime

from metpy.units import units

from siphon.simplewebservice.wyoming import WyomingUpperAir

####################################################
# Create a datetime object for the sounding and string of the station identifier.
date = datetime(2017, 9, 10, 6)
station = 'MFL'

####################################################
# Make the request (a pandas dataframe is returned).
df = WyomingUpperAir.request_data(date, station)

####################################################
# Inspect data columns in the dataframe.
print(df.columns)

####################################################
# Pull out a specific column of data.
print(df['pressure'])

####################################################
# Units are stored in a dictionary with the variable name as the key in the `units` attribute
# of the dataframe.
print(df.units)

####################################################
print(df.units['pressure'])