Python folium.PolyLine方法代码示例

# 需要导入模块: import folium [as 别名]
# 或者: from folium import PolyLine [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 PolyLine [as 别名]
def save_bbox(
        bbox_tuple, file='bbox.html', tiles=TILES[0], color='red', return_map=False
):
    """
    Save bbox as file .html using Folium.

    Parameters
    ----------
    bbox_tuple : tuple.
        Represents a bound box, that is a tuple of 4 values with the
        min and max limits of latitude e longitude.
    file : String, optional, default 'bbox.html'.
        Represents filename.
    tiles : String, optional, default 'OpenStreetMap'.
        Represents tyles'srs type_.
        Example: 'openstreetmap', 'cartodbpositron',
                'stamentoner', 'stamenterrain',
                'mapquestopen', 'MapQuest Open Aerial',
                'Mapbox Control Room' and 'Mapbox Bright'.
    color : String, optional, default 'red'.
        Represents color of lines on map.
    return_map: Boolean, optional, default False.
        Wether to return the bbox folium map.

    Examples
    --------
    >>> from pymove.trajectories import save_bbox
    >>> bbox = (22.147577, 113.54884299999999, 41.132062, 121.156224)
    >>> save_bbox(bbox, 'bbox.html')

    """

    m = folium.Map(tiles=tiles)
    m.fit_bounds(
        [[bbox_tuple[0], bbox_tuple[1]], [bbox_tuple[2], bbox_tuple[3]]]
    )
    points_ = [
        (bbox_tuple[0], bbox_tuple[1]),
        (bbox_tuple[0], bbox_tuple[3]),
        (bbox_tuple[2], bbox_tuple[3]),
        (bbox_tuple[2], bbox_tuple[1]),
        (bbox_tuple[0], bbox_tuple[1]),
    ]
    folium.PolyLine(points_, weight=3, color=color).add_to(m)
    m.save(file)
    if return_map:
        return m 

# 需要导入模块: import folium [as 别名]
# 或者: from folium import PolyLine [as 别名]
def save_map(
    move_data, filename, tiles=TILES[0], label_id=TRAJ_ID, cmap='tab20', return_map=False
):
    """
    Save a visualization in a map in a new file.

    Parameters
    ----------
    move_data : pymove.core.MoveDataFrameAbstract subclass.
        Input trajectory data.
    filename : String
        Represents the filename.
    tiles : String
        Represents the type_ of tile that will be used on the map.
    label_id : String
        Represents column name of trajectory id.
    cmap: String
        Represents the Colormap.

    """

    map_ = folium.Map(tiles=tiles)
    map_.fit_bounds(
        [
            [move_data[LATITUDE].min(), move_data[LONGITUDE].min()],
            [move_data[LATITUDE].max(), move_data[LONGITUDE].max()],
        ]
    )

    ids = move_data[label_id].unique()
    cmap_ = plt.cm.get_cmap(cmap)
    num = cmap_.N

    for id_ in ids:
        id_index = np.where(ids == id_)[0][0]
        move_df = move_data[move_data[label_id] == id_]
        points_ = [
            (point[0], point[1])
            for point in move_df[[LATITUDE, LONGITUDE]].values
        ]
        color_ = cmap_hex_color(cmap_, (id_index % num))
        folium.PolyLine(points_, weight=3, color=color_).add_to(map_)
    map_.save(filename)

    if return_map:
        return map_ 

# 需要导入模块: import folium [as 别名]
# 或者: from folium import PolyLine [as 别名]
def _make_folium_polyline(
    edge, edge_color, edge_width, edge_opacity, popup_attribute=None, **kwargs
):
    """
    Turn row GeoDataFrame into a folium PolyLine with attributes.

    Parameters
    ----------
    edge : GeoSeries
        a row from the gdf_edges GeoDataFrame
    edge_color : string
        color of the edge lines
    edge_width : numeric
        width of the edge lines
    edge_opacity : numeric
        opacity of the edge lines
    popup_attribute : string
        edge attribute to display in a pop-up when an edge is clicked, if
        None, no popup
    kwargs : dict
        Extra parameters passed through to folium

    Returns
    -------
    pl : folium.PolyLine
    """
    # check if we were able to import folium successfully
    if not folium:
        raise ImportError("The folium package must be installed to use this optional feature.")

    # locations is a list of points for the polyline
    # folium takes coords in lat,lon but geopandas provides them in lon,lat
    # so we have to flip them around
    locations = list([(lat, lng) for lng, lat in edge["geometry"].coords])

    # if popup_attribute is None, then create no pop-up
    if popup_attribute is None:
        popup = None
    else:
        # folium doesn't interpret html in the html argument (weird), so can't
        # do newlines without an iframe
        popup_text = json.dumps(edge[popup_attribute])
        popup = folium.Popup(html=popup_text)

    # create a folium polyline with attributes
    pl = folium.PolyLine(
        locations=locations,
        popup=popup,
        color=edge_color,
        weight=edge_width,
        opacity=edge_opacity,
        **kwargs,
    )
    return pl