Python folium.Map方法代码示例

# 需要导入模块: import folium [as 别名]
# 或者: from folium import Map [as 别名]
def makeMap_1(no_zeros_df):
    m5 = folium.Map(center2, tiles="Stamen Toner", zoom_start=zoom2)
    list_df_for_map = no_zeros_df.values.tolist()

    for row in list_df_for_map[0:]:
        print(
            "location = ",
            row[1:3],
            " and depth is",
            row[12:13][0],
            " and UWI is ",
            row[3:4][0],
        )
        folium.CircleMarker(
            location=row[1:3],
            radius=2,
            color=depth_color(row[13:14][0]),
            fill=True,
            #     popup=folium.Popup(str(row[9:10][0])+ " & depth Top McMurray=", parse_html=True)
            #     popup=folium.Popup(str(row[9:10][0]+ ", depth Top McMurray="+str(row[15:16][0])), parse_html=True)
        ).add_to(m5)
    return m5 

# 需要导入模块: import folium [as 别名]
# 或者: from folium import Map [as 别名]
def generate_blank_map_html(lon_avg, lat_avg):
        """
        Generate a blank HTML map file
        :param lon_avg: center longitude
        :param lat_avg: center latitude
        :return: file name
        """
        my_map = folium.Map(location=[lon_avg, lat_avg], zoom_start=5)

        gc_path = get_create_gridcal_folder()

        path = os.path.join(gc_path, 'map.html')

        my_map.save(path)

        return path 

# 需要导入模块: import folium [as 别名]
# 或者: from folium import Map [as 别名]
def get_base_map(location, zoom_start=5):
    """
    Get map with all the base defined layers
    :param location: (lat, lon)
    :param zoom_start: integer
    :return: map, marker_layer
    """

    my_map = folium.Map(location=location, zoom_start=zoom_start)

    # add possible tiles
    folium.TileLayer('cartodbpositron').add_to(my_map)
    folium.TileLayer('cartodbdark_matter').add_to(my_map)
    folium.TileLayer('openstreetmap').add_to(my_map)
    folium.TileLayer('Mapbox Bright').add_to(my_map)
    folium.TileLayer('stamentoner').add_to(my_map)

    # add markers layer
    marker_cluster = MarkerCluster().add_to(my_map)

    # add the layer control
    folium.LayerControl().add_to(my_map)

    return my_map, marker_cluster 

# 需要导入模块: import folium [as 别名]
# 或者: from folium import Map [as 别名]
def draw_locations(locations, file_path):
    """
    基于folium生成地域分布的热力图的html文件.
    :param locations: 样本的省市区, pandas的dataframe类型.
    :param file_path: 生成的html文件的路径.
    """
    _base_input_check(locations)
    import folium
    from folium.plugins import HeatMap
    # 注意判断key是否存在
    heatData = []
    for map_key in zip(locations["省"], locations["市"], locations["区"]):
        if latlng.get(map_key):
            lat_lon = latlng.get(map_key)
            heatData.append([float(lat_lon[0]), float(lat_lon[1]), 1])
    # 绘制Map，开始缩放程度是5倍
    map_osm = folium.Map(location=[35, 110], zoom_start=5)
    # 将热力图添加到前面建立的map里
    HeatMap(heatData).add_to(map_osm)
    # 保存为html文件
    map_osm.save(file_path) 

# 需要导入模块: import folium [as 别名]
# 或者: from folium import Map [as 别名]
def plot_on_map(data, _index):

    resolution, width, height = 75, 7, 3
    lat, lon = (sangil_gwangju_lat_limit[0]/2 + sangil_gwangju_lat_limit[1]/2 ,
        sangil_gwangju_lon_limit[0]/2 + sangil_gwangju_lon_limit[1]/2)

    map = folium.Map(location=[lat, lon], zoom_start=12)
    Color = mcolors.CSS4_COLORS.values()
    countcar = 0

    for i in _index:
        countcar += 1
        print str(data[2][i])+'번 차량 지도에 그리는 중....'
        for j in range(0, len(data[0][i])):

            if j == 0:
                folium.Marker(location=[float(data[0][i][j]), float(data[1][i][j])],
                    icon=folium.Icon(color='red'),
                    popup=data[2][i]+'start').add_to(map)
            elif j == len(data[0][i]) - 1:
                folium.Marker(location=[float(data[0][i][j]), float(data[1][i][j])],
                    icon=folium.Icon(color='blue'),popup=data[2][i]+'end').add_to(map)

            folium.CircleMarker(location=[float(data[0][i][j]), float(data[1][i][j])],
                radius=20, line_color=Color[countcar],fill_color=Color[countcar],
                fill_opacity=0.1)

        folium.CircleMarker(location=[sangil_gwangju_lat_limit[1], sangil_gwangju_lon_limit[0]],
            radius=100, line_color='black',
            fill_color='black', fill_opacity=1)

        folium.CircleMarker(location=[sangil_gwangju_lat_limit[0], sangil_gwangju_lon_limit[1]], radius=100,
                          line_color='black', fill_color='black', fill_opacity=1)

    map.save('result.html')

    os.system('explorer.exe result.html')

    print "총 지나간 차량 : %.3s 대" % countcar 

# 需要导入模块: import folium [as 别名]
# 或者: from folium import Map [as 别名]
def _add_begin_end_markers_to_folium_map(move_data, base_map):
    """
    Adds a green marker to beginning of the trajectory and a red marker to the
    end of the trajectory.

    Parameters
    ----------
    move_data : pymove.core.MoveDataFrameAbstract subclass.
        Input trajectory data.
    base_map : folium.folium.Map, optional, default None.
        Represents the folium map. If not informed, a new map is generated.

    """

    folium.Marker(
        location=[move_data.iloc[0][LATITUDE], move_data.iloc[0][LONGITUDE]],
        color='green',
        clustered_marker=True,
        popup='Início',
        icon=folium.Icon(color='green', icon='info-sign'),
    ).add_to(base_map)

    folium.Marker(
        location=[move_data.iloc[-1][LATITUDE], move_data.iloc[-1][LONGITUDE]],
        color='red',
        clustered_marker=True,
        popup='Fim',
        icon=folium.Icon(color='red', icon='info-sign'),
    ).add_to(base_map) 

# 需要导入模块: import folium [as 别名]
# 或者: from folium import Map [as 别名]
def _add_trajectories_to_folium_map(
    move_data,
    items,
    base_map,
    legend=True,
    save_as_html=True,
    filename='map.html',
):
    """
    Adds a trajectory to a folium map with begin and end markers.

    Parameters
    ----------
    move_data : pymove.core.MoveDataFrameAbstract subclass.
        Input trajectory data.
    legend: boolean, default True
        Whether to add a legend to the map
    base_map : folium.folium.Map, optional, default None.
        Represents the folium map. If not informed, a new map is generated.
    save_as_html : bool, optional, default False.
        Represents if want save this visualization in a new file .html.
    filename : String, optional, default 'plot_trajectory_by_period.html'.
        Represents the file name of new file .html.

    """

    for _id, color in items:
        mv = move_data[move_data[TRAJ_ID] == _id]

        _add_begin_end_markers_to_folium_map(move_data, base_map)

        folium.PolyLine(
            mv[[LATITUDE, LONGITUDE]], color=color, weight=2.5, opacity=1
        ).add_to(base_map)

    if legend:
        add_map_legend(base_map, 'Color by user ID', items)

    if save_as_html:
        base_map.save(outfile=filename) 

# 需要导入模块: import folium [as 别名]
# 或者: from folium import Map [as 别名]
def make_map(state_name, json_fn, html_fn, **kwargs):
    """Make a folium map."""
    geom = listing4_3.get_state_geom(state_name)
    listing4_3.save_state_gauges(json_fn, listing4_3.get_bbox(geom))
    fmap = folium.Map(location=listing4_3.get_center(geom), **kwargs)
    add_markers(fmap, json_fn)
    fmap.create_map(path=html_fn)


# Top-level code. Don't forget to change the directory.
# Try other options for the tiles parameter. Options are:
# 'OpenStreetMap', 'Mapbox Bright', 'Mapbox Control Room',
# 'Stamen Terrain', 'Stamen Toner' 

# 需要导入模块: import folium [as 别名]
# 或者: from folium import Map [as 别名]
def make_map(state_name, json_fn, html_fn, **kwargs):
    """Make a folium map."""
    geom = get_state_geom(state_name)
    save_state_gauges(json_fn, get_bbox(geom))
    fmap = folium.Map(location=get_center(geom), **kwargs)
    fmap.geo_json(geo_path=json_fn)
    fmap.create_map(path=html_fn)


# Top-level code. Don't forget to change the directory. The if-statement
# makes it so that the next two lines of code only run if this script is
# being run as a stand-alone script. This way you can import this file
# into listing 4.4 and this part won't run, but you'll have access to all
# of the above functions. 

# 需要导入模块: import folium [as 别名]
# 或者: from folium import Map [as 别名]
def generateMap(self, settings):
        """Generates the heatmap.
        
        Arguments:
            settings {dict} -- The settings for the heatmap.
        
        Returns:
            Map -- The Heatmap.
        """
        tiles = settings["tiles"]
        zoom_start = settings["zoom_start"]
        radius = settings["radius"]
        blur = settings["blur"]
        min_opacity = settings["min_opacity"]
        max_zoom = settings["max_zoom"]
        
        map_data = [(coords[0], coords[1], magnitude)
                    for coords, magnitude in self.coordinates.items()]

        # Generate map
        m = folium.Map(location=self.max_coordinates,
                       zoom_start=zoom_start,
                       tiles=tiles)

        # Generate heat map
        heatmap = HeatMap(map_data,
                          max_val=self.max_magnitude,
                          min_opacity=min_opacity,
                          radius=radius,
                          blur=blur,
                          max_zoom=max_zoom)

        m.add_child(heatmap)
        return m 

# 需要导入模块: import folium [as 别名]
# 或者: from folium import Map [as 别名]
def tracker():
  loc = geocoder.osm(app.vars.get('location'))
  if loc.lat is not None and loc.lng is not None:
    latlng = [loc.lat, loc.lng]
  else:
    return redirect('/geoerror.html')
  
  # insist on a valid map config
  map_path = app.vars.get("map_path")
  if not map_path:
    return redirect('/error.html')
  if app.vars.get("cache") == "yes" and Path(map_path).exists():
    return render_template('display.html')
  else:
    bus_map = folium.Map(location=latlng, zoom_start=15)
    bus_map.add_child(folium.Marker(location=latlng,
                                    popup=escape_apostrophes(loc.address),
                                    icon=folium.Icon(color='blue')))

    # Call API for bus locations
    bus_list = get_buses(loc.lat, loc.lng, app.vars['radius'])

    for bus in bus_list:
      route_id = bus.get('RouteID')
      trip_headsign = escape_apostrophes(bus.get('TripHeadsign'))
      folium.features.RegularPolygonMarker(location = [bus['Lat'], bus['Lon']],
                                           popup = f"Route {route_id} to {trip_headsign}",
                                           number_of_sides = 3,
                                           radius = 15,
                                           weight = 1,
                                           fill_opacity = 0.8,
                                           rotation = 30).add_to(bus_map)
  
    bus_map.save(map_path)
    return render_template('display.html')
  pass 

# 需要导入模块: import folium [as 别名]
# 或者: from folium import Map [as 别名]
def timeline_user():
    cont = 0
    user = api.user_timeline(screen_name, count=number)
    for tweet in user:
        print "----------------------------------------------"
        printout("[TWEET:] ", YELLOW)
        print " " + tweet.text.encode('utf-8')
        printout("[SOURCE:] ", GREEN)
        print tweet.source.encode('utf-8')
        printout("[DATE:] ", RED)
        print tweet.created_at
        printout("[RT:] ", BLUE)
        print tweet.retweet_count
        printout("[FAV:] ", WHITE)
        print tweet.favorite_count
        if tweet.geo == None:
            printout("[GEOLOCATION:]   ", MAGENTA)
            print tweet.geo
        else:
            printout("[GEOLOCATION:]   ", MAGENTA)
            print tweet.geo['coordinates']
            location = geolocator.reverse(tweet.geo['coordinates'],timeout=20)
            printout("[ADDRESS:]   ", CYAN)
            print location.address.encode('utf-8')
            if cont == 0:
                map_1 = folium.Map(location=tweet.geo['coordinates'], zoom_start=4, width=1800, height =1200)
                cont = cont + 1
            else:
                cont = cont + 1
                map_1.simple_marker(location=tweet.geo['coordinates'],popup=tweet.text.encode('utf-8'))   
                location = geolocator.reverse(tweet.geo['coordinates'],timeout=20)
    if MAPS == "y":
        map_1.create_map(path='maps_user.html')
    credit() 

# 需要导入模块: import folium [as 别名]
# 或者: from folium import Map [as 别名]
def search_zone_map():
    cont = 0
    places = api.geo_search(query=ZONE, granularity="country")
    place_id = places[0].id
    tweets = api.search(q="place:%s" % place_id,count=number)
    for tweet in tweets:
        print "------------------------------------------------"
        printout("[NAME:]   ", GREEN)
        print tweet.user.name.encode('utf-8')
        printout("[ALIAS:]   ", BLUE)
        print "@" + tweet.user.screen_name.encode('utf-8')
        printout("[TWEET:] ", YELLOW)
        print " " + tweet.text.encode('utf-8')
        printout("[GEOLOCATION:]   ", MAGENTA)
        print tweet.geo['coordinates']
        location = geolocator.reverse(tweet.geo['coordinates'],timeout=20)
        printout("[ADDRESS:]   ", CYAN)
        print location.address.encode('utf-8')
        if cont == 0:
                map_1 = folium.Map(location=tweet.geo['coordinates'], zoom_start=4, width=1800, height =1200)
                cont = cont + 1
        else:
            cont = cont + 1
            map_1.simple_marker(location=tweet.geo['coordinates'],popup=tweet.user.screen_name.encode('utf-8'))   
            location = geolocator.reverse(tweet.geo['coordinates'],timeout=20)
    if MAPS == "y":
        map_1.create_map(path='maps.html')
    else:
        sys.exit(2)
    credit() 

# 需要导入模块: import folium [as 别名]
# 或者: from folium import Map [as 别名]
def __init__(
        self,
        title: str = "layer1",
        zoom_start: float = 2.5,
        tiles=None,
        width: str = "100%",
        height: str = "100%",
        location: list = None,
    ):
        """
        Create an instance of the folium map.

        Parameters
        ----------
        title : str, optional
            Name of the layer (the default is 'layer1')
        zoom_start : int, optional
            The zoom level of the map (the default is 7)
        tiles : [type], optional
            Custom set of tiles or tile URL (the default is None)
        width : str, optional
            Map display width (the default is '100%')
        height : str, optional
            Map display height (the default is '100%')
        location : list, optional
            Location to center map on

        Attributes
        ----------
        folium_map : folium.Map
            The map object.

        """
        if not location:
            location = [47.67, -122.13]

        self.folium_map = folium.Map(
            zoom_start=zoom_start,
            tiles=tiles,
            width=width,
            height=height,
            location=location,
        )
        folium.TileLayer(name=title).add_to(self.folium_map)
        self.locations: List[Tuple[float, float]] = [] 

# 需要导入模块: import folium [as 别名]
# 或者: from folium import Map [as 别名]
def test_folium_map(self):

        # Read in some data
        ip_locs_file = Path(_TEST_DATA).joinpath("ip_locs.csv")
        geo_loc_df = pd.read_csv(ip_locs_file, index_col=0)

        # Create IP and GeoLocation Entities from the dataframe
        geo_locs = list(geo_loc_df.apply(create_geo_entity, axis=1).values)
        ip_entities = list(geo_loc_df.apply(create_ip_entity, axis=1).values)

        folium_map = FoliumMap(
            width="50%", height="50%", location=(47.5982328, -122.331), zoom_start=14
        )
        self.assertIsInstance(folium_map.folium_map, folium.Map)

        for ip in ip_entities:
            ip.AdditionalData.update({"name": "test", "role": "testrole"})
        folium_map = FoliumMap(zoom_start=9)
        folium_map.add_ip_cluster(ip_entities=ip_entities, color="orange")
        ip_entities_clean = [
            ip
            for ip in ip_entities
            if ip.Location
            and ip.Location.Latitude
            and not math.isnan(ip.Location.Latitude)
            and not math.isnan(ip.Location.Longitude)
        ]
        self.assertEqual(len(ip_entities_clean), len(folium_map.locations))

        folium_map.add_ip_cluster(ip_entities=ip_entities_clean)
        folium_map.center_map()

        folium_map.add_geoloc_cluster(geo_locations=geo_locs, color="orange")
        self.assertEqual(len(ip_entities_clean) * 3, len(folium_map.locations))

        geo_tuples = geo_loc_df.apply(
            lambda x: (x.Latitude, x.Longitude), axis=1
        ).values
        folium_map.add_locations(locations=geo_tuples, color="orange")
        self.assertEqual(len(ip_entities_clean) * 4, len(folium_map.locations))

        # test centering algorithms
        center = get_center_geo_locs(geo_locs)
        self.assertAlmostEqual(center[0], 38.7095)
        self.assertAlmostEqual(center[1], -93.6112)
        center = get_center_geo_locs(geo_locs, mode="mean")
        self.assertAlmostEqual(center[0], 39.847162352941176)
        self.assertAlmostEqual(center[1], -87.36079411764706)
        center = get_center_ip_entities(ip_entities)
        self.assertAlmostEqual(center[0], 38.7095)
        self.assertAlmostEqual(center[1], -93.6112)
        hosts = []
        for ip in ip_entities:
            new_host = Host(HostName=ip.Address)
            new_host.ip = ip
            hosts.append(new_host)

        center = get_map_center(entities=hosts)
        self.assertAlmostEqual(center[0], 39.847162352941176)
        self.assertAlmostEqual(center[1], -87.36079411764706)