How to use the pykml.factory.KML_ElementMaker function in pykml

# get the coordinate string of the first KML coordinate element
coord_str = str(
    linestring_doc.getroot().find(".//{http://www.opengis.net/kml/2.2}coordinates")
).strip()

for vertex in coord_str.split(' '):
    (lon,lat,alt) = vertex.split(',')
    flyto = GX.FlyTo(
        GX.duration(2),
        GX.flyToMode("smooth"),
        KML.Camera(
          KML.longitude(lon),
          KML.latitude(lat),
          KML.altitude(0),
          KML.heading(-129.7),
          KML.tilt(90.0),
          KML.altitudeMode("relativeToGround"),
        )
    )
    tour_doc[gxns+"Tour"].Playlist.append(flyto)

assert Schema('kml22gx.xsd').validate(tour_doc)
print etree.tostring(tour_doc, pretty_print=True)

# output a KML file (named based on the Python script)
outfile = file(__file__.rstrip('.py')+'.kml','w')
outfile.write(etree.tostring(tour_doc, pretty_print=True))

'name': d['properties']['name'][0],
                'geo': d['properties']['geo'][0]['value']
            }
            coords.append(data)
        except (IndexError, KeyError):
            pass
    return coords


if __name__ == '__main__':
    parser = get_parser()
    args = parser.parse_args()

    doc = mf2py.parse(url=args.url)
    coords = get_geo(doc)
    folder = KML.Folder()
    for item in coords[:args.n]:
        lat, lon = item['geo'].split('; ')
        place_coords = ','.join([lon, lat])
        place = KML.Placemark(
            KML.name(item['name']),
            KML.Point(KML.coordinates(place_coords))
        )
        folder.append(place)

    with open(args.output, 'w') as fout:
        xml = etree.tostring(folder, pretty_print=True).decode('utf8')
        fout.write(xml)

if mask[i, j]:  # add point if it's not marked as masked out
                    lat = lats[i, j]
                    lon = lons[i, j]
                    row = rows[i, j]
                    col = cols[i, j]
                    ts = ts_data[:, i, j]
                    v = vel[i, j]
                    vc = vel_c[i, j]
                    vstd = vel_std[i, j]
                    tcoh = temp_coh[i, j]

                    # 2.3.1 Create KML icon style element
                    style = KML.Style(
                        KML.IconStyle(
                            KML.color(get_hex_color(vc, colormap, norm)),
                            KML.scale(0.5),
                            KML.Icon(KML.href("{}".format(dot_file)))
                        )
                    )

                    # 2.3.2 Create KML point element
                    point = KML.Point(KML.coordinates("{},{}".format(lon, lat)))

                    js_data_string = generate_js_datastring(dates, inps.dygraph_file, num_date, ts)

                    # 2.3.3 Create KML description element
                    stats_info = get_description_string((lat, lon), (row, col), v, vstd, ts[-1], tcoh=tcoh)
                    description = KML.description(stats_info, js_data_string)

                    # 2.3.4 Crate KML Placemark element to hold style, description, and point elements
                    placemark = KML.Placemark(style, description, point)

for i in range(0, length, step):
            for j in range(0, width, step):
                if mask[i, j]:  # add point if it's not marked as masked out
                    lat = lats[i, j]
                    lon = lons[i, j]
                    row = rows[i, j]
                    col = cols[i, j]
                    ts = ts_data[:, i, j]
                    v = vel[i, j]
                    vc = vel_c[i, j]
                    vstd = vel_std[i, j]
                    tcoh = temp_coh[i, j]

                    # 2.3.1 Create KML icon style element
                    style = KML.Style(
                        KML.IconStyle(
                            KML.color(get_hex_color(vc, colormap, norm)),
                            KML.scale(0.5),
                            KML.Icon(KML.href("{}".format(dot_file)))
                        )
                    )

                    # 2.3.2 Create KML point element
                    point = KML.Point(KML.coordinates("{},{}".format(lon, lat)))

                    js_data_string = generate_js_datastring(dates, inps.dygraph_file, num_date, ts)

                    # 2.3.3 Create KML description element
                    stats_info = get_description_string((lat, lon), (row, col), v, vstd, ts[-1], tcoh=tcoh)
                    description = KML.description(stats_info, js_data_string)

                    # 2.3.4 Crate KML Placemark element to hold style, description, and point elements

#!/usr/bin/env python
'''Generate a KML string that matches the altitudemode example.

References:
http://code.google.com/apis/kml/documentation/kmlreference.html#gxaltitudemode
http://code.google.com/apis/kml/documentation/kmlfiles/altitudemode_reference.kml
'''

from lxml import etree
from pykml.parser import Schema
from pykml.factory import KML_ElementMaker as KML
from pykml.factory import GX_ElementMaker as GX

doc = KML.kml(
    KML.Placemark(
        KML.name("gx:altitudeMode Example"),
        KML.LookAt(
            KML.longitude(146.806),
            KML.latitude(12.219),
            KML.heading(-60),
            KML.tilt(70),
            KML.range(6300),
            GX.altitudeMode("relativeToSeaFloor"),
        ),
        KML.LineString(
            KML.extrude(1),
            GX.altitudeMode("relativeToSeaFloor"),
            KML.coordinates(
              "146.825,12.233,400 "
              "146.820,12.222,400 "
              "146.812,12.212,400 "
              "146.796,12.209,400 "

[3,'ffff0000'],
    [4,'ff00ff55'],
    [5,'ffff00aa'],
    [6,'ff00ffff'],
    [7,'ff0000ff'],
]

# create a series of Icon Styles
for threshold,color in iconstyles:
    doc.append(
        KML.Style(
            KML.IconStyle(
                KML.color(color),
                KML.scale(threshold/2),
                KML.Icon(
                    KML.href("http://maps.google.com/mapfiles/kml/shapes/earthquake.png"),
                ),
                KML.hotSpot(x="0.5",y="0",xunits="fraction",yunits="fraction"),
            ),
            balloonstyle,
            id="earthquake-style-{threshold}".format(threshold=threshold),
        )
    )

doc.append(KML.Folder())

# read in a csv file, and create a placemark for each record
url="http://earthquake.usgs.gov/earthquakes/catalogs/eqs7day-M2.5.txt"
fileobject = urllib2.urlopen(url)
for row in csv.DictReader(fileobject):
    timestamp = datetime.strptime(row["Datetime"], "%A, %B %d, %Y %H:%M:%S %Z")
    pm = KML.Placemark(

[5,'ffff00aa'],
    [6,'ff00ffff'],
    [7,'ff0000ff'],
]

# create a series of Icon Styles
for threshold,color in iconstyles:
    doc.append(
        KML.Style(
            KML.IconStyle(
                KML.color(color),
                KML.scale(threshold/2),
                KML.Icon(
                    KML.href("http://maps.google.com/mapfiles/kml/shapes/earthquake.png"),
                ),
                KML.hotSpot(x="0.5",y="0",xunits="fraction",yunits="fraction"),
            ),
            balloonstyle,
            id="earthquake-style-{threshold}".format(threshold=threshold),
        )
    )

doc.append(KML.Folder())

# read in a csv file, and create a placemark for each record
url="http://earthquake.usgs.gov/earthquakes/catalogs/eqs7day-M2.5.txt"
fileobject = urllib2.urlopen(url)
for row in csv.DictReader(fileobject):
    timestamp = datetime.strptime(row["Datetime"], "%A, %B %d, %Y %H:%M:%S %Z")
    pm = KML.Placemark(
        KML.name("Magnitude={0}".format(row['Magnitude'])),
        KML.TimeStamp(