how to add the Specify additional variables you want to include about siphon

[dopplershift]

The code parsing the return from the Wyoming web service is here:

siphon/src/siphon/simplewebservice/wyoming.py

Lines 70 to 125 in 7c24f40

	raw_data = self._get_data_raw(time, site_id)
	soup = BeautifulSoup(raw_data, 'html.parser')
	tabular_data = StringIO(soup.find_all('pre')[0].contents[0])
	col_names = ['pressure', 'height', 'temperature', 'dewpoint', 'direction', 'speed']
	df = pd.read_fwf(tabular_data, widths=[7] * 8, skiprows=5,
	usecols=[0, 1, 2, 3, 6, 7], names=col_names)
	df['u_wind'], df['v_wind'] = get_wind_components(df['speed'],
	np.deg2rad(df['direction']))
	# Drop any rows with all NaN values for T, Td, winds
	df = df.dropna(subset=('temperature', 'dewpoint', 'direction', 'speed',
	'u_wind', 'v_wind'), how='all').reset_index(drop=True)
	# Parse metadata
	meta_data = soup.find_all('pre')[1].contents[0]
	lines = meta_data.splitlines()
	# If the station doesn't have a name identified we need to insert a
	# record showing this for parsing to proceed.
	if 'Station number' in lines[1]:
	lines.insert(1, 'Station identifier: ')
	station = lines[1].split(':')[1].strip()
	station_number = int(lines[2].split(':')[1].strip())
	sounding_time = datetime.strptime(lines[3].split(':')[1].strip(), '%y%m%d/%H%M')
	latitude = float(lines[4].split(':')[1].strip())
	longitude = float(lines[5].split(':')[1].strip())
	elevation = float(lines[6].split(':')[1].strip())
	pw = float(lines[-1].split(':')[1].strip())
	df['station'] = station
	df['station_number'] = station_number
	df['time'] = sounding_time
	df['latitude'] = latitude
	df['longitude'] = longitude
	df['elevation'] = elevation
	df['pw'] = pw
	# Add unit dictionary
	df.units = {'pressure': 'hPa',
	'height': 'meter',
	'temperature': 'degC',
	'dewpoint': 'degC',
	'direction': 'degrees',
	'speed': 'knot',
	'u_wind': 'knot',
	'v_wind': 'knot',
	'station': None,
	'station_number': None,
	'time': None,
	'latitude': 'degrees',
	'longitude': 'degrees',
	'elevation': 'meter',
	'pw': 'millimeter'}
	return df