plotlymap module

Canvas

The widgets.HBox containing the map and a toolbar.

Source code in leafmap/plotlymap.py

class Canvas:
    """The widgets.HBox containing the map and a toolbar."""

    def __init__(
        self,
        map,
        map_min_width: Optional[str] = "90%",
        map_max_width: Optional[str] = "98%",
        map_refresh: Optional[bool] = False,
        **kwargs,
    ) -> None:
        """Initialize the Canvas.

        Args:
            map (go.FigureWidget): The map to display.
            map_min_width (str, optional): The minimum width of the map. Defaults to '90%'.
            map_max_width (str, optional): The maximum width of the map. Defaults to '98%'.
            map_refresh (bool, optional): Whether to refresh the map when the map is resized. Defaults to False.
        """
        from .toolbar import plotly_toolbar

        map_widget = widgets.Output(layout=widgets.Layout(width=map_max_width))
        with map_widget:
            display(map)

        self.map = map
        self.map_min_width = map_min_width
        self.map_max_width = map_max_width
        self.map_refresh = map_refresh
        self.map_widget = map_widget

        container_widget = widgets.VBox()
        self.container_widget = container_widget

        toolbar_widget = plotly_toolbar(self)
        sidebar_widget = widgets.VBox([toolbar_widget, container_widget])
        canvas = widgets.HBox([map_widget, sidebar_widget])

        self.canvas = canvas
        self.toolbar_widget = toolbar_widget

    def toolbar_reset(self):
        """Reset the toolbar so that no tool is selected."""
        if hasattr(self, "toolbar"):
            toolbar_grid = self.toolbar
            for tool in toolbar_grid.children:
                tool.value = False

__init__(map, map_min_width='90%', map_max_width='98%', map_refresh=False, **kwargs)

Initialize the Canvas.

Parameters:

Name	Type	Description	Default
map	FigureWidget	The map to display.	required
map_min_width	str	The minimum width of the map. Defaults to '90%'.	'90%'
map_max_width	str	The maximum width of the map. Defaults to '98%'.	'98%'
map_refresh	bool	Whether to refresh the map when the map is resized. Defaults to False.	False

Source code in leafmap/plotlymap.py

def __init__(
    self,
    map,
    map_min_width: Optional[str] = "90%",
    map_max_width: Optional[str] = "98%",
    map_refresh: Optional[bool] = False,
    **kwargs,
) -> None:
    """Initialize the Canvas.

    Args:
        map (go.FigureWidget): The map to display.
        map_min_width (str, optional): The minimum width of the map. Defaults to '90%'.
        map_max_width (str, optional): The maximum width of the map. Defaults to '98%'.
        map_refresh (bool, optional): Whether to refresh the map when the map is resized. Defaults to False.
    """
    from .toolbar import plotly_toolbar

    map_widget = widgets.Output(layout=widgets.Layout(width=map_max_width))
    with map_widget:
        display(map)

    self.map = map
    self.map_min_width = map_min_width
    self.map_max_width = map_max_width
    self.map_refresh = map_refresh
    self.map_widget = map_widget

    container_widget = widgets.VBox()
    self.container_widget = container_widget

    toolbar_widget = plotly_toolbar(self)
    sidebar_widget = widgets.VBox([toolbar_widget, container_widget])
    canvas = widgets.HBox([map_widget, sidebar_widget])

    self.canvas = canvas
    self.toolbar_widget = toolbar_widget

toolbar_reset()

Reset the toolbar so that no tool is selected.

Source code in leafmap/plotlymap.py

def toolbar_reset(self):
    """Reset the toolbar so that no tool is selected."""
    if hasattr(self, "toolbar"):
        toolbar_grid = self.toolbar
        for tool in toolbar_grid.children:
            tool.value = False

Map

Bases: FigureWidget

The Map class inherits the Plotly FigureWidget class. More info at https://plotly.com/python/figurewidget.

Source code in leafmap/plotlymap.py

class Map(go.FigureWidget):
    """The Map class inherits the Plotly FigureWidget class. More info at https://plotly.com/python/figurewidget."""

    def __init__(
        self,
        center: Optional[Tuple[float, float]] = (20, 0),
        zoom: Optional[float] = 1,
        basemap: Optional[str] = "open-street-map",
        height: Optional[int] = 600,
        **kwargs,
    ) -> None:
        """Initializes a map. More info at https://plotly.com/python/mapbox-layers/

        Args:
            center (tuple, optional): Center of the map. Defaults to (20, 0).
            zoom (float, optional): Zoom level of the map. Defaults to 1.
            basemap (str, optional): Can be one of string from "open-street-map", "carto-positron", "carto-darkmatter", "stamen-terrain", "stamen-toner" or "stamen-watercolor" . Defaults to 'open-street-map'.
            height (int, optional): Height of the map. Defaults to 600.
        """
        super().__init__(**kwargs)
        self.add_scattermapbox()
        self.update_layout(
            {
                "mapbox": {
                    "style": basemap,
                    "center": {"lat": center[0], "lon": center[1]},
                    "zoom": zoom,
                },
                "margin": {"r": 0, "t": 0, "l": 0, "b": 0},
                "height": height,
            }
        )

    def show(
        self,
        toolbar: Optional[bool] = True,
        map_min_width: Optional[str] = "91%",
        map_max_width: Optional[str] = "98%",
        refresh: Optional[bool] = False,
        **kwargs,
    ) -> None:
        """Shows the map.

        Args:
            toolbar (bool, optional): Whether to show the toolbar. Defaults to True.
            map_min_width (str, optional): The minimum width of the map. Defaults to '91%'.
            map_max_width (str, optional): The maximum width of the map. Defaults to '98%'.
            refresh (bool, optional): Whether to refresh the map when the map is resized. Defaults to False.

        Returns:
            Canvas: Map canvas.
        """
        if not toolbar:
            super().show(**kwargs)
        else:
            canvas = Canvas(
                self,
                map_min_width=map_min_width,
                map_max_width=map_max_width,
                map_refresh=refresh,
            )
            return canvas.canvas

    def clear_controls(self):
        """Removes all controls from the map."""
        config = {
            "scrollZoom": True,
            "displayModeBar": False,
            "editable": True,
            "showLink": False,
            "displaylogo": False,
        }
        self.show(toolbar=False, config=config)

    def add_controls(self, controls: List) -> None:
        """Adds controls to the map.

        Args:
            controls (list): List of controls to add, e.g., ['drawline', 'drawopenpath', 'drawclosedpath', 'drawcircle', 'drawrect', 'eraseshape'] See https://bit.ly/33Tmqxr
        """
        if isinstance(controls, str):
            controls = [controls]
        elif not isinstance(controls, list):
            raise ValueError(
                "Controls must be a string or a list of strings. See https://bit.ly/33Tmqxr"
            )

        self.update_layout(modebar_add=controls)

    def remove_controls(self, controls: List):
        """Removes controls to the map.

        Args:
            controls (list): List of controls to remove, e.g., ["zoomin", "zoomout", "toimage", "pan", "resetview"]. See https://bit.ly/3Jk7wkb
        """
        if isinstance(controls, str):
            controls = [controls]
        elif not isinstance(controls, list):
            raise ValueError(
                "Controls must be a string or a list of strings. See https://bit.ly/3Jk7wkb"
            )

        self.update_layout(modebar_remove=controls)

    def set_center(self, lat: float, lon: float, zoom: Optional[float] = None) -> None:
        """Sets the center of the map.

        Args:
            lat (float): Latitude.
            lon (float): Longitude.
            zoom (int, optional): Zoom level of the map. Defaults to None.
        """
        self.update_layout(
            mapbox=dict(
                center=dict(lat=lat, lon=lon),
                zoom=zoom if zoom is not None else self.layout.mapbox.zoom,
            )
        )

    def add_basemap(self, basemap: Optional[str] = "ROADMAP") -> None:
        """Adds a basemap to the map.

        Args:
            basemap (str, optional): Can be one of string from basemaps. Defaults to 'ROADMAP'.
        """
        if basemap not in basemaps:
            raise ValueError(
                f"Basemap {basemap} not found. Choose from {','.join(basemaps.keys())}"
            )

        if basemap in self.get_tile_layers():
            self.remove_basemap(basemap)
        layers = list(self.layout.mapbox.layers) + [basemaps[basemap]]
        self.update_layout(mapbox_layers=layers)

    def remove_basemap(self, name: str) -> None:
        """Removes a basemap from the map.

        Args:
            name (str): Name of the basemap to remove.
        """
        layers = list(self.layout.mapbox.layers)
        layers = [layer for layer in layers if layer["name"] != name]
        self.layout.mapbox.layers = layers

    def add_mapbox_layer(self, style: Union[str, Dict], access_token=None) -> None:
        """Adds a mapbox layer to the map.

        Args:
            layer (str | dict): Layer to add. Can be "basic", "streets", "outdoors", "light", "dark", "satellite", or "satellite-streets". See https://plotly.com/python/mapbox-layers/ and https://docs.mapbox.com/mapbox-gl-js/style-spec/
            access_token (str, optional): The Mapbox Access token. It can be set as an environment variable "MAPBOX_TOKEN". Defaults to None.
        """

        if access_token is None:
            access_token = os.environ.get("MAPBOX_TOKEN")

        self.update_layout(
            mapbox_style=style, mapbox_layers=[], mapbox_accesstoken=access_token
        )

    def add_layer(self, layer, name: Optional[str] = None, **kwargs):
        """Adds a layer to the map.

        Args:
            layer (plotly.graph_objects): Layer to add.
            name (str, optional): Name of the layer. Defaults to None.
        """
        if isinstance(name, str):
            layer.name = name
        self.add_trace(layer, **kwargs)

    def remove_layer(self, name: str) -> None:
        """Removes a layer from the map.

        Args:
            name (str): Name of the layer to remove.
        """
        if name in self.get_data_layers():
            self.data = [layer for layer in self.data if layer.name != name]
        elif name in self.get_tile_layers():
            self.layout.mapbox.layers = [
                layer for layer in self.layout.mapbox.layers if layer["name"] != name
            ]

    def clear_layers(self, clear_basemap: Optional[bool] = False):
        """Clears all layers from the map.

        Args:
            clear_basemap (bool, optional): If True, clears the basemap. Defaults to False.
        """
        if clear_basemap:
            self.data = []
        else:
            if len(self.data) > 1:
                self.data = self.data[:1]

    def get_layers(self) -> Dict:
        """Returns a dictionary of all layers in the map.
        Returns:
            dict: A dictionary of all layers in the map.
        """
        layers = {}

        for layer in self.layout.mapbox.layers:
            if layer["name"] is not None:
                layers[layer["name"]] = layer

        for layer in self.data:
            if layer.name is not None and layer.name != "trace 0":
                layers[layer.name] = layer

        return layers

    def get_tile_layers(self) -> Dict:
        """Returns a dictionary of tile layers in the map.

        Returns:
            dict: A dictionary of tile layers in the map.
        """

        layers = {}

        for layer in self.layout.mapbox.layers:
            if layer["name"] is not None:
                layers[layer["name"]] = layer

        return layers

    def get_data_layers(self) -> Dict:
        """Returns a dictionary of data layers in the map.

        Returns:
            dict: A dictionary of data layers in the map.
        """

        layers = {}

        for layer in self.data:
            if layer.name is not None and layer.name != "trace 0":
                layers[layer.name] = layer

        return layers

    def find_layer_index(self, name: str) -> int:
        """Finds the index of a layer.

        Args:
            name (str): Name of the layer to find.

        Returns:
            int: Index of the layer.
        """
        for i, layer in enumerate(self.data):
            if layer.name == name:
                return i

        for i, layer in enumerate(self.layout.mapbox.layers):
            if layer["name"] == name:
                return i

        return None

    def set_layer_visibility(self, name: str, show: Optional[bool] = True) -> None:
        """Sets the visibility of a layer.

        Args:
            name (str): Name of the layer to set.
            show (bool, optional): If True, shows the layer. Defaults to True.
        """

        if name in self.get_tile_layers():
            index = self.find_layer_index(name)
            self.layout.mapbox.layers[index].visible = show
        elif name in self.get_data_layers():
            index = self.find_layer_index(name)
            self.data[index].visible = show
        else:
            print(f"Layer {name} not found.")

    def set_layer_opacity(self, name: str, opacity: Optional[float] = 1) -> None:
        """Sets the visibility of a layer.

        Args:
            name (str): Name of the layer to set.
            opacity (float, optional): Opacity of the layer. Defaults to 1.
        """

        if name in self.get_tile_layers():
            index = self.find_layer_index(name)
            self.layout.mapbox.layers[index].opacity = opacity
        elif name in self.get_data_layers():
            index = self.find_layer_index(name)
            layer = self.data[index]
            if hasattr(layer, "opacity"):
                layer.opacity = opacity
            elif hasattr(layer, "marker"):
                layer.marker.opacity = opacity
        else:
            print(f"Layer {name} not found.")

    def add_tile_layer(
        self,
        url: str,
        name: Optional[str] = "TileLayer",
        attribution: Optional[str] = "",
        opacity: Optional[float] = 1.0,
        **kwargs,
    ) -> None:
        """Adds a TileLayer to the map.

        Args:
            url (str): The URL of the tile layer.
            name (str, optional): Name of the layer. Defaults to 'TileLayer'.
            attribution (str): The attribution to use. Defaults to "".
            opacity (float, optional): The opacity of the layer. Defaults to 1.
        """

        layer = {
            "below": "traces",
            "sourcetype": "raster",
            "sourceattribution": attribution,
            "source": [url],
            "opacity": opacity,
            "name": name,
        }
        layers = list(self.layout.mapbox.layers) + [layer]
        self.update_layout(mapbox_layers=layers)

    def add_cog_layer(
        self,
        url: str,
        name: Optional[str] = "Untitled",
        attribution: Optional[str] = "",
        opacity: Optional[float] = 1.0,
        bands: Optional[List] = None,
        titiler_endpoint: Optional[str] = None,
        **kwargs,
    ) -> None:
        """Adds a COG TileLayer to the map.

        Args:
            url (str): The URL of the COG tile layer, e.g., 'https://github.com/opengeos/data/releases/download/raster/Libya-2023-07-01.tif'
            name (str, optional): The layer name to use for the layer. Defaults to 'Untitled'.
            attribution (str, optional): The attribution to use. Defaults to ''.
            opacity (float, optional): The opacity of the layer. Defaults to 1.
            bands (list, optional): The bands to use. Defaults to None.
            titiler_endpoint (str, optional): Titiler endpoint. Defaults to "https://titiler.xyz".
            **kwargs: Arbitrary keyword arguments, including bidx, expression, nodata, unscale, resampling, rescale,
                color_formula, colormap, colormap_name, return_mask. See https://developmentseed.org/titiler/endpoints/cog/
                and https://cogeotiff.github.io/rio-tiler/colormap/. To select a certain bands, use bidx=[1, 2, 3].
                apply a rescaling to multiple bands, use something like `rescale=["164,223","130,211","99,212"]`.
        """
        tile_url = common.cog_tile(url, bands, titiler_endpoint, **kwargs)
        center = common.cog_center(url, titiler_endpoint)  # (lon, lat)
        self.add_tile_layer(tile_url, name, attribution, opacity)
        self.set_center(lon=center[0], lat=center[1], zoom=10)

    def add_stac_layer(
        self,
        url: str = None,
        collection: str = None,
        items: str = None,
        assets: str = None,
        bands: List = None,
        titiler_endpoint: Optional[str] = None,
        name: Optional[str] = "STAC Layer",
        attribution: Optional[str] = "",
        opacity: Optional[float] = 1.0,
        **kwargs,
    ) -> None:
        """Adds a STAC TileLayer to the map.

        Args:
            url (str): HTTP URL to a STAC item, e.g., https://canada-spot-ortho.s3.amazonaws.com/canada_spot_orthoimages/canada_spot5_orthoimages/S5_2007/S5_11055_6057_20070622/S5_11055_6057_20070622.json
            collection (str): The Microsoft Planetary Computer STAC collection ID, e.g., landsat-8-c2-l2.
            items (str): The Microsoft Planetary Computer STAC item ID, e.g., LC08_L2SP_047027_20201204_02_T1.
            assets (str | list): The Microsoft Planetary Computer STAC asset ID, e.g., ["SR_B7", "SR_B5", "SR_B4"].
            bands (list): A list of band names, e.g., ["SR_B7", "SR_B5", "SR_B4"]
            titiler_endpoint (str, optional): Titiler endpoint, e.g., "https://titiler.xyz", "planetary-computer", "pc". Defaults to None.
            name (str, optional): The layer name to use for the layer. Defaults to 'STAC Layer'.
            attribution (str, optional): The attribution to use. Defaults to ''.
            opacity (float, optional): The opacity of the layer. Defaults to 1.
        """
        tile_url = common.stac_tile(
            url, collection, items, assets, bands, titiler_endpoint, **kwargs
        )
        center = common.stac_center(url, collection, items, titiler_endpoint)
        self.add_tile_layer(tile_url, name, attribution, opacity)
        self.set_center(lon=center[0], lat=center[1], zoom=10)

    def add_mosaic_layer(
        self,
        url: str,
        titiler_endpoint: Optional[str] = None,
        name: Optional[str] = "Mosaic Layer",
        attribution: Optional[str] = "",
        opacity: Optional[float] = 1.0,
        **kwargs,
    ) -> None:
        """Adds a STAC TileLayer to the map.

        Args:
            url (str): HTTP URL to a MosaicJSON.
            titiler_endpoint (str, optional): Titiler endpoint, e.g., "https://titiler.xyz". Defaults to None.
            name (str, optional): The layer name to use for the layer. Defaults to 'Mosaic Layer'.
            attribution (str, optional): The attribution to use. Defaults to ''.
            opacity (float, optional): The opacity of the layer. Defaults to 1.
        """
        tile_url = common.mosaic_tile(url, titiler_endpoint, **kwargs)
        center = common.mosaic_info(url, titiler_endpoint)["center"]
        self.add_tile_layer(tile_url, name, attribution, opacity)
        self.set_center(lon=center[0], lat=center[1], zoom=10)

    def add_planet_by_month(
        self,
        year: Optional[int] = 2016,
        month: Optional[int] = 1,
        api_key: Optional[str] = None,
        token_name: Optional[str] = "PLANET_API_KEY",
        name: Optional[str] = None,
        attribution: str = "",
        opacity: Optional[float] = 1.0,
    ) -> None:
        """Adds Planet global mosaic by month to the map. To get a Planet API key, see https://developers.planet.com/quickstart/apis/

        Args:
            year (int, optional): The year of Planet global mosaic, must be >=2016. Defaults to 2016.
            month (int, optional): The month of Planet global mosaic, must be 1-12. Defaults to 1.
            api_key (str, optional): The Planet API key. Defaults to None.
            token_name (str, optional): The environment variable name of the API key. Defaults to "PLANET_API_KEY".
            name (str, optional): Name of the layer. Defaults to 'TileLayer'.
            attribution (str): The attribution to use. Defaults to "".
            opacity (float, optional): The opacity of the layer. Defaults to 1.
        """
        if name is None:
            name = str(year) + "-" + str(month).zfill(2)
        tile_url = common.planet_by_month(year, month, api_key, token_name)
        self.add_tile_layer(
            tile_url, name=name, attribution=attribution, opacity=opacity
        )

    def add_planet_by_quarter(
        self,
        year: Optional[int] = 2016,
        quarter: Optional[int] = 1,
        api_key: Optional[str] = None,
        token_name: Optional[str] = "PLANET_API_KEY",
        name: Optional[str] = None,
        attribution: str = "",
        opacity: Optional[float] = 1.0,
    ) -> None:
        """Adds Planet global mosaic by month to the map. To get a Planet API key, see https://developers.planet.com/quickstart/apis/

        Args:
            year (int, optional): The year of Planet global mosaic, must be >=2016. Defaults to 2016.
            quarter (int, optional): The quarter of Planet global mosaic, must be 1-4. Defaults to 1.
            api_key (str, optional): The Planet API key. Defaults to None.
            token_name (str, optional): The environment variable name of the API key. Defaults to "PLANET_API_KEY".
            name (str, optional): Name of the layer. Defaults to 'TileLayer'.
            attribution (str): The attribution to use. Defaults to "".
            opacity (float, optional): The opacity of the layer. Defaults to 1.
        """
        if name is None:
            name = str(year) + "-" + "q" + str(quarter)
        tile_url = common.planet_by_quarter(year, quarter, api_key, token_name)
        self.add_tile_layer(
            tile_url, name=name, attribution=attribution, opacity=opacity
        )

    def save(
        self,
        file: str,
        format: Optional[str] = None,
        width: Optional[int] = None,
        height: Optional[int] = None,
        scale: Optional[int] = None,
        **kwargs,
    ) -> None:
        """Convert a map to a static image and write it to a file or writeable object

        Args:
            file (str): A string representing a local file path or a writeable object (e.g. a pathlib.Path object or an open file descriptor)
            format (str, optional): The desired image format. One of png, jpg, jpeg, webp, svg, pdf, eps. Defaults to None.
            width (int, optional): The width of the exported image in layout pixels. If the `scale` property is 1.0, this will also be the width of the exported image in physical pixels.. Defaults to None.
            height (int, optional): The height of the exported image in layout pixels. If the `scale` property is 1.0, this will also be the height of the exported image in physical pixels.. Defaults to None.
            scale (int, optional): The scale factor to use when exporting the figure. A scale factor larger than 1.0 will increase the image resolution with respect to the figure's layout pixel dimensions. Whereas as scale factor of less than 1.0 will decrease the image resolution.. Defaults to None.
        """
        self.write_image(
            file, format=format, width=width, height=height, scale=scale, **kwargs
        )

    def add_choropleth_map(
        self,
        data: str,
        name: Optional[str] = None,
        z: Optional[str] = None,
        colorscale: Optional[str] = "Viridis",
        **kwargs,
    ) -> None:
        """Adds a choropleth map to the map.

        Args:
            data (str): File path to vector data, e.g., https://raw.githubusercontent.com/opengeos/leafmap/master/examples/data/countries.geojson
            name (str, optional): Name of the layer. Defaults to None.
            z (str, optional): Z value of the data. Defaults to None.
            colorscale (str, optional): Color scale of the data. Defaults to "Viridis".
        """
        common.check_package("geopandas")
        import json
        import geopandas as gpd

        gdf = gpd.read_file(data).to_crs(epsg=4326)
        geojson = json.loads(gdf.to_json())

        self.add_choroplethmapbox(
            geojson=geojson,
            locations=gdf.index,
            z=gdf[z],
            name=name,
            colorscale=colorscale,
            **kwargs,
        )

    def add_scatter_plot_demo(self, **kwargs) -> None:
        """Adds a scatter plot to the map."""
        lons = np.random.random(1000) * 360.0
        lats = np.random.random(1000) * 180.0 - 90.0
        z = np.random.random(1000) * 50.0
        self.add_scattermapbox(
            lon=lons, lat=lats, marker={"color": z}, name="Random points", **kwargs
        )

    def add_heatmap(
        self,
        data: Union[str, DataFrame],
        latitude: Optional[str] = "latitude",
        longitude: Optional[str] = "longitude",
        z: Optional[str] = "value",
        radius: Optional[int] = 10,
        colorscale: Optional[str] = None,
        name: Optional[str] = "Heat map",
        **kwargs,
    ) -> None:
        """Adds a heat map to the map. Reference: https://plotly.com/python/mapbox-density-heatmaps

        Args:
            data (str | pd.DataFrame): File path or HTTP URL to the input file or a . For example, https://raw.githubusercontent.com/plotly/datasets/master/earthquakes-23k.csv
            latitude (str, optional): The column name of latitude. Defaults to "latitude".
            longitude (str, optional): The column name of longitude. Defaults to "longitude".
            z (str, optional): The column name of z values. Defaults to "value".
            radius (int, optional): Radius of each “point” of the heatmap. Defaults to 25.
            colorscale (str, optional): Color scale of the data, e.g., Viridis. See https://plotly.com/python/builtin-colorscales. Defaults to None.
            name (str, optional): Layer name to use. Defaults to "Heat map".

        """

        if isinstance(data, str):
            try:
                df = pd.read_csv(data)
            except FileNotFoundError:
                raise FileNotFoundError(f"file path {data} not found")
            except Exception as other_error:
                raise ValueError(f"failed load data from {data}: {other_error}")
        elif isinstance(data, pd.DataFrame):
            df = data
        else:
            raise ValueError("data must be a DataFrame or a file path.")

        for column_data in [latitude, longitude, z]:
            if column_data not in df.columns:
                raise KeyError(
                    f"column {column_data} not found, available columns {', '.join(df.columns)}"
                )

        heatmap = go.Densitymapbox(
            lat=df[latitude],
            lon=df[longitude],
            z=df[z],
            radius=radius,
            colorscale=colorscale,
            name=name,
            **kwargs,
        )
        self.add_trace(heatmap)

    def add_heatmap_demo(self, **kwargs) -> None:
        """Adds a heatmap to the map."""
        quakes = pd.read_csv(
            "https://raw.githubusercontent.com/plotly/datasets/master/earthquakes-23k.csv"
        )
        heatmap = go.Densitymapbox(
            lat=quakes.Latitude,
            lon=quakes.Longitude,
            z=quakes.Magnitude,
            radius=10,
            name="Earthquake",
            **kwargs,
        )

        self.add_basemap("Esri.WorldTopoMap")
        self.add_trace(heatmap)

    def add_gdf_demo(
        self,
        gdf,
        label_col: Optional[str],
        color_col: Optional[str],
        color_continuous_scale: Optional[str] = "Viridis",
        **kwargs,
    ) -> None:
        common.check_package("geopandas", "https://geopandas.org")
        import geopandas as gpd

        geojson_url = str(gdf)

        if isinstance(gdf, str):
            gdf = gpd.read_file(gdf).to_crs(epsg=4326)

        fig = go.Choroplethmapbox(
            geojson=geojson_url,
            featureidkey="properties.{}".format(label_col),
            locations=gdf[label_col],
            z=gdf[color_col],
            autocolorscale=False,
            colorscale=color_continuous_scale,
            marker_line_color="peachpuff",
            colorbar=dict(
                title={"text": "Legend"},
                thickness=15,
                len=0.35,
                bgcolor="rgba(255,255,255,0.6)",
                xanchor="left",
                x=0.02,
                yanchor="bottom",
                y=0.05,
            ),
        )
        self.add_trace(fig)

    def add_gdf(
        self,
        gdf,
        label_col: Optional[str] = None,
        color_col: Optional[str] = None,
        labels=None,
        opacity: Optional[float] = 1.0,
        zoom: Optional[int] = None,
        color_continuous_scale: Optional[str] = "Viridis",
        **kwargs,
    ) -> None:
        """Adds a GeoDataFrame to the map.
        Args:
            gdf (GeoDataFrame): A GeoDataFrame.
            label_col (str, optional): The column name of locations. Defaults to None.
            color_col (str, optional): The column name of color. Defaults to None.
        """

        common.check_package("geopandas", "https://geopandas.org")
        import geopandas as gpd

        if isinstance(gdf, str):
            gdf = gpd.read_file(gdf)

        if not isinstance(gdf, gpd.GeoDataFrame):
            raise ValueError("gdf must be a GeoDataFrame.")

        gdf = gdf.to_crs(epsg=4326)
        # geom_type = gdf_geom_type(gdf)
        center_lon, center_lat = common.gdf_centroid(gdf)

        if isinstance(label_col, str):
            gdf = gdf.set_index(label_col)
            if label_col == color_col:
                gdf[label_col] = gdf.index
            label_col = gdf.index
        elif label_col is None:
            label_col = gdf.index

        if isinstance(color_col, str):
            if color_col not in gdf.columns:
                raise ValueError(
                    f"color must be a column name in the GeoDataFrame. Can be one of {','.join(gdf.columns)} "
                )
        fig = px.choropleth_mapbox(
            gdf,
            geojson=gdf.geometry,
            locations=label_col,
            color=color_col,
            color_continuous_scale=color_continuous_scale,
            opacity=opacity,
            labels=labels,
            # mapbox_style="carto-positron",
            **kwargs,
        )

        self.add_traces(fig.data)
        self.set_center(center_lat, center_lon, zoom)

    def add_geojson_layer(
        self,
        geojson_in: Union[str, Dict],
        name: str,
        color: Optional[str] = "blue",
        opacity: Optional[float] = 1,
    ) -> None:
        """Prepare proper and give style for different type of Geometry

        Args:
            in_geojson (str | dict): The file path or http URL to the input GeoJSON or a dictionary containing the geojson.
            name (str): Name for the Layer
            color (str, optional): Plain name for color (e.g: blue) or color code (e.g: #FF0000)
            opacity(float, optional): opacity of the layer in Map
        """

        import json
        import requests

        if isinstance(geojson_in, dict):
            data = geojson_in
        elif geojson_in.startswith("http"):
            data = requests.get(geojson_in).json()
        elif geojson_in.lower().endswith((".json", ".geojson")):
            with open(geojson_in) as fp:
                data = json.load(fp)
        else:
            data = geojson_in

        """ Only Checking Geometry of first feature( todo : handle multiple type of Geometry in same geojson ) """
        first_feature = data["features"][0]
        geometry_type = first_feature["geometry"]["type"]

        if geometry_type.lower() in ["polygon", "multipolygon"]:
            type = "fill"
        elif geometry_type.lower() in ["linstring", "multilinestring"]:
            type = "line"
        elif geometry_type.lower() in ["point", "multipoint"]:
            type = "circle"
        else:
            type = "fill"

        self.add_geojson(data, name, type, color, opacity)

    def add_geojson(
        self,
        data: Dict,
        name: str,
        type: Optional[str],
        color: Optional[str],
        opacity: Optional[float],
    ) -> None:
        """Add layers to the Map

        Args:
            data (dict): Geojson in Dict form
            name (str): Name for the Layer
            color (str, optional): Plain name for color (e.g: blue) or color code (e.g: #FF0000)
            opacity(float, optional): opacity of the layer in Map
        """

        new_layer = {
            "source": data,
            "name": name,
            "type": type,
            "opacity": opacity,
            "color": color,
        }
        if type == "circle":
            new_layer["circle"] = {"radius": 5}
        existing_layers = list(self.layout.mapbox.layers)

        existing_layers.append(new_layer)

        self.update_layout(mapbox={"layers": tuple(existing_layers)})

__init__(center=(20, 0), zoom=1, basemap='open-street-map', height=600, **kwargs)

Initializes a map. More info at https://plotly.com/python/mapbox-layers/

Parameters:

Name	Type	Description	Default
center	tuple	Center of the map. Defaults to (20, 0).	(20, 0)
zoom	float	Zoom level of the map. Defaults to 1.	1
basemap	str	Can be one of string from "open-street-map", "carto-positron", "carto-darkmatter", "stamen-terrain", "stamen-toner" or "stamen-watercolor" . Defaults to 'open-street-map'.	'open-street-map'
height	int	Height of the map. Defaults to 600.	600

Source code in leafmap/plotlymap.py

def __init__(
    self,
    center: Optional[Tuple[float, float]] = (20, 0),
    zoom: Optional[float] = 1,
    basemap: Optional[str] = "open-street-map",
    height: Optional[int] = 600,
    **kwargs,
) -> None:
    """Initializes a map. More info at https://plotly.com/python/mapbox-layers/

    Args:
        center (tuple, optional): Center of the map. Defaults to (20, 0).
        zoom (float, optional): Zoom level of the map. Defaults to 1.
        basemap (str, optional): Can be one of string from "open-street-map", "carto-positron", "carto-darkmatter", "stamen-terrain", "stamen-toner" or "stamen-watercolor" . Defaults to 'open-street-map'.
        height (int, optional): Height of the map. Defaults to 600.
    """
    super().__init__(**kwargs)
    self.add_scattermapbox()
    self.update_layout(
        {
            "mapbox": {
                "style": basemap,
                "center": {"lat": center[0], "lon": center[1]},
                "zoom": zoom,
            },
            "margin": {"r": 0, "t": 0, "l": 0, "b": 0},
            "height": height,
        }
    )

add_basemap(basemap='ROADMAP')

Adds a basemap to the map.

Parameters:

Name	Type	Description	Default
basemap	str	Can be one of string from basemaps. Defaults to 'ROADMAP'.	'ROADMAP'

Source code in leafmap/plotlymap.py

def add_basemap(self, basemap: Optional[str] = "ROADMAP") -> None:
    """Adds a basemap to the map.

    Args:
        basemap (str, optional): Can be one of string from basemaps. Defaults to 'ROADMAP'.
    """
    if basemap not in basemaps:
        raise ValueError(
            f"Basemap {basemap} not found. Choose from {','.join(basemaps.keys())}"
        )

    if basemap in self.get_tile_layers():
        self.remove_basemap(basemap)
    layers = list(self.layout.mapbox.layers) + [basemaps[basemap]]
    self.update_layout(mapbox_layers=layers)

add_choropleth_map(data, name=None, z=None, colorscale='Viridis', **kwargs)

Adds a choropleth map to the map.

Parameters:

Name	Type	Description	Default
data	str	File path to vector data, e.g., https://raw.githubusercontent.com/opengeos/leafmap/master/examples/data/countries.geojson	required
name	str	Name of the layer. Defaults to None.	None
z	str	Z value of the data. Defaults to None.	None
colorscale	str	Color scale of the data. Defaults to "Viridis".	'Viridis'

Source code in leafmap/plotlymap.py

def add_choropleth_map(
    self,
    data: str,
    name: Optional[str] = None,
    z: Optional[str] = None,
    colorscale: Optional[str] = "Viridis",
    **kwargs,
) -> None:
    """Adds a choropleth map to the map.

    Args:
        data (str): File path to vector data, e.g., https://raw.githubusercontent.com/opengeos/leafmap/master/examples/data/countries.geojson
        name (str, optional): Name of the layer. Defaults to None.
        z (str, optional): Z value of the data. Defaults to None.
        colorscale (str, optional): Color scale of the data. Defaults to "Viridis".
    """
    common.check_package("geopandas")
    import json
    import geopandas as gpd

    gdf = gpd.read_file(data).to_crs(epsg=4326)
    geojson = json.loads(gdf.to_json())

    self.add_choroplethmapbox(
        geojson=geojson,
        locations=gdf.index,
        z=gdf[z],
        name=name,
        colorscale=colorscale,
        **kwargs,
    )

add_cog_layer(url, name='Untitled', attribution='', opacity=1.0, bands=None, titiler_endpoint=None, **kwargs)

Adds a COG TileLayer to the map.

Parameters:

Name	Type	Description	Default
url	str	The URL of the COG tile layer, e.g., 'https://github.com/opengeos/data/releases/download/raster/Libya-2023-07-01.tif'	required
name	str	The layer name to use for the layer. Defaults to 'Untitled'.	'Untitled'
attribution	str	The attribution to use. Defaults to ''.	''
opacity	float	The opacity of the layer. Defaults to 1.	1.0
bands	list	The bands to use. Defaults to None.	None
titiler_endpoint	str	Titiler endpoint. Defaults to "https://titiler.xyz".	None
**kwargs		Arbitrary keyword arguments, including bidx, expression, nodata, unscale, resampling, rescale, color_formula, colormap, colormap_name, return_mask. See https://developmentseed.org/titiler/endpoints/cog/ and https://cogeotiff.github.io/rio-tiler/colormap/. To select a certain bands, use bidx=[1, 2, 3]. apply a rescaling to multiple bands, use something like rescale=["164,223","130,211","99,212"].	{}

Source code in leafmap/plotlymap.py

def add_cog_layer(
    self,
    url: str,
    name: Optional[str] = "Untitled",
    attribution: Optional[str] = "",
    opacity: Optional[float] = 1.0,
    bands: Optional[List] = None,
    titiler_endpoint: Optional[str] = None,
    **kwargs,
) -> None:
    """Adds a COG TileLayer to the map.

    Args:
        url (str): The URL of the COG tile layer, e.g., 'https://github.com/opengeos/data/releases/download/raster/Libya-2023-07-01.tif'
        name (str, optional): The layer name to use for the layer. Defaults to 'Untitled'.
        attribution (str, optional): The attribution to use. Defaults to ''.
        opacity (float, optional): The opacity of the layer. Defaults to 1.
        bands (list, optional): The bands to use. Defaults to None.
        titiler_endpoint (str, optional): Titiler endpoint. Defaults to "https://titiler.xyz".
        **kwargs: Arbitrary keyword arguments, including bidx, expression, nodata, unscale, resampling, rescale,
            color_formula, colormap, colormap_name, return_mask. See https://developmentseed.org/titiler/endpoints/cog/
            and https://cogeotiff.github.io/rio-tiler/colormap/. To select a certain bands, use bidx=[1, 2, 3].
            apply a rescaling to multiple bands, use something like `rescale=["164,223","130,211","99,212"]`.
    """
    tile_url = common.cog_tile(url, bands, titiler_endpoint, **kwargs)
    center = common.cog_center(url, titiler_endpoint)  # (lon, lat)
    self.add_tile_layer(tile_url, name, attribution, opacity)
    self.set_center(lon=center[0], lat=center[1], zoom=10)

add_controls(controls)

Adds controls to the map.

Parameters:

Name	Type	Description	Default
controls	list	List of controls to add, e.g., ['drawline', 'drawopenpath', 'drawclosedpath', 'drawcircle', 'drawrect', 'eraseshape'] See https://bit.ly/33Tmqxr	required

Source code in leafmap/plotlymap.py

def add_controls(self, controls: List) -> None:
    """Adds controls to the map.

    Args:
        controls (list): List of controls to add, e.g., ['drawline', 'drawopenpath', 'drawclosedpath', 'drawcircle', 'drawrect', 'eraseshape'] See https://bit.ly/33Tmqxr
    """
    if isinstance(controls, str):
        controls = [controls]
    elif not isinstance(controls, list):
        raise ValueError(
            "Controls must be a string or a list of strings. See https://bit.ly/33Tmqxr"
        )

    self.update_layout(modebar_add=controls)

add_gdf(gdf, label_col=None, color_col=None, labels=None, opacity=1.0, zoom=None, color_continuous_scale='Viridis', **kwargs)

Adds a GeoDataFrame to the map. Args: gdf (GeoDataFrame): A GeoDataFrame. label_col (str, optional): The column name of locations. Defaults to None. color_col (str, optional): The column name of color. Defaults to None.

Source code in leafmap/plotlymap.py

def add_gdf(
    self,
    gdf,
    label_col: Optional[str] = None,
    color_col: Optional[str] = None,
    labels=None,
    opacity: Optional[float] = 1.0,
    zoom: Optional[int] = None,
    color_continuous_scale: Optional[str] = "Viridis",
    **kwargs,
) -> None:
    """Adds a GeoDataFrame to the map.
    Args:
        gdf (GeoDataFrame): A GeoDataFrame.
        label_col (str, optional): The column name of locations. Defaults to None.
        color_col (str, optional): The column name of color. Defaults to None.
    """

    common.check_package("geopandas", "https://geopandas.org")
    import geopandas as gpd

    if isinstance(gdf, str):
        gdf = gpd.read_file(gdf)

    if not isinstance(gdf, gpd.GeoDataFrame):
        raise ValueError("gdf must be a GeoDataFrame.")

    gdf = gdf.to_crs(epsg=4326)
    # geom_type = gdf_geom_type(gdf)
    center_lon, center_lat = common.gdf_centroid(gdf)

    if isinstance(label_col, str):
        gdf = gdf.set_index(label_col)
        if label_col == color_col:
            gdf[label_col] = gdf.index
        label_col = gdf.index
    elif label_col is None:
        label_col = gdf.index

    if isinstance(color_col, str):
        if color_col not in gdf.columns:
            raise ValueError(
                f"color must be a column name in the GeoDataFrame. Can be one of {','.join(gdf.columns)} "
            )
    fig = px.choropleth_mapbox(
        gdf,
        geojson=gdf.geometry,
        locations=label_col,
        color=color_col,
        color_continuous_scale=color_continuous_scale,
        opacity=opacity,
        labels=labels,
        # mapbox_style="carto-positron",
        **kwargs,
    )

    self.add_traces(fig.data)
    self.set_center(center_lat, center_lon, zoom)

add_geojson(data, name, type, color, opacity)

Add layers to the Map

Parameters:

Name	Type	Description	Default
data	dict	Geojson in Dict form	required
name	str	Name for the Layer	required
color	str	Plain name for color (e.g: blue) or color code (e.g: #FF0000)	required
opacity(float,	optional	opacity of the layer in Map	required

Source code in leafmap/plotlymap.py

def add_geojson(
    self,
    data: Dict,
    name: str,
    type: Optional[str],
    color: Optional[str],
    opacity: Optional[float],
) -> None:
    """Add layers to the Map

    Args:
        data (dict): Geojson in Dict form
        name (str): Name for the Layer
        color (str, optional): Plain name for color (e.g: blue) or color code (e.g: #FF0000)
        opacity(float, optional): opacity of the layer in Map
    """

    new_layer = {
        "source": data,
        "name": name,
        "type": type,
        "opacity": opacity,
        "color": color,
    }
    if type == "circle":
        new_layer["circle"] = {"radius": 5}
    existing_layers = list(self.layout.mapbox.layers)

    existing_layers.append(new_layer)

    self.update_layout(mapbox={"layers": tuple(existing_layers)})

add_geojson_layer(geojson_in, name, color='blue', opacity=1)

Prepare proper and give style for different type of Geometry

Parameters:

Name	Type	Description	Default
in_geojson	str | dict	The file path or http URL to the input GeoJSON or a dictionary containing the geojson.	required
name	str	Name for the Layer	required
color	str	Plain name for color (e.g: blue) or color code (e.g: #FF0000)	'blue'
opacity(float,	optional	opacity of the layer in Map	required

Source code in leafmap/plotlymap.py

def add_geojson_layer(
    self,
    geojson_in: Union[str, Dict],
    name: str,
    color: Optional[str] = "blue",
    opacity: Optional[float] = 1,
) -> None:
    """Prepare proper and give style for different type of Geometry

    Args:
        in_geojson (str | dict): The file path or http URL to the input GeoJSON or a dictionary containing the geojson.
        name (str): Name for the Layer
        color (str, optional): Plain name for color (e.g: blue) or color code (e.g: #FF0000)
        opacity(float, optional): opacity of the layer in Map
    """

    import json
    import requests

    if isinstance(geojson_in, dict):
        data = geojson_in
    elif geojson_in.startswith("http"):
        data = requests.get(geojson_in).json()
    elif geojson_in.lower().endswith((".json", ".geojson")):
        with open(geojson_in) as fp:
            data = json.load(fp)
    else:
        data = geojson_in

    """ Only Checking Geometry of first feature( todo : handle multiple type of Geometry in same geojson ) """
    first_feature = data["features"][0]
    geometry_type = first_feature["geometry"]["type"]

    if geometry_type.lower() in ["polygon", "multipolygon"]:
        type = "fill"
    elif geometry_type.lower() in ["linstring", "multilinestring"]:
        type = "line"
    elif geometry_type.lower() in ["point", "multipoint"]:
        type = "circle"
    else:
        type = "fill"

    self.add_geojson(data, name, type, color, opacity)

add_heatmap(data, latitude='latitude', longitude='longitude', z='value', radius=10, colorscale=None, name='Heat map', **kwargs)

Adds a heat map to the map. Reference: https://plotly.com/python/mapbox-density-heatmaps

Parameters:

Name	Type	Description	Default
data	str | DataFrame	File path or HTTP URL to the input file or a . For example, https://raw.githubusercontent.com/plotly/datasets/master/earthquakes-23k.csv	required
latitude	str	The column name of latitude. Defaults to "latitude".	'latitude'
longitude	str	The column name of longitude. Defaults to "longitude".	'longitude'
z	str	The column name of z values. Defaults to "value".	'value'
radius	int	Radius of each “point” of the heatmap. Defaults to 25.	10
colorscale	str	Color scale of the data, e.g., Viridis. See https://plotly.com/python/builtin-colorscales. Defaults to None.	None
name	str	Layer name to use. Defaults to "Heat map".	'Heat map'

Source code in leafmap/plotlymap.py

def add_heatmap(
    self,
    data: Union[str, DataFrame],
    latitude: Optional[str] = "latitude",
    longitude: Optional[str] = "longitude",
    z: Optional[str] = "value",
    radius: Optional[int] = 10,
    colorscale: Optional[str] = None,
    name: Optional[str] = "Heat map",
    **kwargs,
) -> None:
    """Adds a heat map to the map. Reference: https://plotly.com/python/mapbox-density-heatmaps

    Args:
        data (str | pd.DataFrame): File path or HTTP URL to the input file or a . For example, https://raw.githubusercontent.com/plotly/datasets/master/earthquakes-23k.csv
        latitude (str, optional): The column name of latitude. Defaults to "latitude".
        longitude (str, optional): The column name of longitude. Defaults to "longitude".
        z (str, optional): The column name of z values. Defaults to "value".
        radius (int, optional): Radius of each “point” of the heatmap. Defaults to 25.
        colorscale (str, optional): Color scale of the data, e.g., Viridis. See https://plotly.com/python/builtin-colorscales. Defaults to None.
        name (str, optional): Layer name to use. Defaults to "Heat map".

    """

    if isinstance(data, str):
        try:
            df = pd.read_csv(data)
        except FileNotFoundError:
            raise FileNotFoundError(f"file path {data} not found")
        except Exception as other_error:
            raise ValueError(f"failed load data from {data}: {other_error}")
    elif isinstance(data, pd.DataFrame):
        df = data
    else:
        raise ValueError("data must be a DataFrame or a file path.")

    for column_data in [latitude, longitude, z]:
        if column_data not in df.columns:
            raise KeyError(
                f"column {column_data} not found, available columns {', '.join(df.columns)}"
            )

    heatmap = go.Densitymapbox(
        lat=df[latitude],
        lon=df[longitude],
        z=df[z],
        radius=radius,
        colorscale=colorscale,
        name=name,
        **kwargs,
    )
    self.add_trace(heatmap)

add_heatmap_demo(**kwargs)

Adds a heatmap to the map.

Source code in leafmap/plotlymap.py

def add_heatmap_demo(self, **kwargs) -> None:
    """Adds a heatmap to the map."""
    quakes = pd.read_csv(
        "https://raw.githubusercontent.com/plotly/datasets/master/earthquakes-23k.csv"
    )
    heatmap = go.Densitymapbox(
        lat=quakes.Latitude,
        lon=quakes.Longitude,
        z=quakes.Magnitude,
        radius=10,
        name="Earthquake",
        **kwargs,
    )

    self.add_basemap("Esri.WorldTopoMap")
    self.add_trace(heatmap)

add_layer(layer, name=None, **kwargs)

Adds a layer to the map.

Parameters:

Name	Type	Description	Default
layer	graph_objects	Layer to add.	required
name	str	Name of the layer. Defaults to None.	None

Source code in leafmap/plotlymap.py

def add_layer(self, layer, name: Optional[str] = None, **kwargs):
    """Adds a layer to the map.

    Args:
        layer (plotly.graph_objects): Layer to add.
        name (str, optional): Name of the layer. Defaults to None.
    """
    if isinstance(name, str):
        layer.name = name
    self.add_trace(layer, **kwargs)

add_mapbox_layer(style, access_token=None)

Adds a mapbox layer to the map.

Parameters:

Name	Type	Description	Default
layer	str | dict	Layer to add. Can be "basic", "streets", "outdoors", "light", "dark", "satellite", or "satellite-streets". See https://plotly.com/python/mapbox-layers/ and https://docs.mapbox.com/mapbox-gl-js/style-spec/	required
access_token	str	The Mapbox Access token. It can be set as an environment variable "MAPBOX_TOKEN". Defaults to None.	None

Source code in leafmap/plotlymap.py

def add_mapbox_layer(self, style: Union[str, Dict], access_token=None) -> None:
    """Adds a mapbox layer to the map.

    Args:
        layer (str | dict): Layer to add. Can be "basic", "streets", "outdoors", "light", "dark", "satellite", or "satellite-streets". See https://plotly.com/python/mapbox-layers/ and https://docs.mapbox.com/mapbox-gl-js/style-spec/
        access_token (str, optional): The Mapbox Access token. It can be set as an environment variable "MAPBOX_TOKEN". Defaults to None.
    """

    if access_token is None:
        access_token = os.environ.get("MAPBOX_TOKEN")

    self.update_layout(
        mapbox_style=style, mapbox_layers=[], mapbox_accesstoken=access_token
    )

add_mosaic_layer(url, titiler_endpoint=None, name='Mosaic Layer', attribution='', opacity=1.0, **kwargs)

Adds a STAC TileLayer to the map.

Parameters:

Name	Type	Description	Default
url	str	HTTP URL to a MosaicJSON.	required
titiler_endpoint	str	Titiler endpoint, e.g., "https://titiler.xyz". Defaults to None.	None
name	str	The layer name to use for the layer. Defaults to 'Mosaic Layer'.	'Mosaic Layer'
attribution	str	The attribution to use. Defaults to ''.	''
opacity	float	The opacity of the layer. Defaults to 1.	1.0

Source code in leafmap/plotlymap.py

def add_mosaic_layer(
    self,
    url: str,
    titiler_endpoint: Optional[str] = None,
    name: Optional[str] = "Mosaic Layer",
    attribution: Optional[str] = "",
    opacity: Optional[float] = 1.0,
    **kwargs,
) -> None:
    """Adds a STAC TileLayer to the map.

    Args:
        url (str): HTTP URL to a MosaicJSON.
        titiler_endpoint (str, optional): Titiler endpoint, e.g., "https://titiler.xyz". Defaults to None.
        name (str, optional): The layer name to use for the layer. Defaults to 'Mosaic Layer'.
        attribution (str, optional): The attribution to use. Defaults to ''.
        opacity (float, optional): The opacity of the layer. Defaults to 1.
    """
    tile_url = common.mosaic_tile(url, titiler_endpoint, **kwargs)
    center = common.mosaic_info(url, titiler_endpoint)["center"]
    self.add_tile_layer(tile_url, name, attribution, opacity)
    self.set_center(lon=center[0], lat=center[1], zoom=10)

add_planet_by_month(year=2016, month=1, api_key=None, token_name='PLANET_API_KEY', name=None, attribution='', opacity=1.0)

Adds Planet global mosaic by month to the map. To get a Planet API key, see https://developers.planet.com/quickstart/apis/

Parameters:

Name	Type	Description	Default
year	int	The year of Planet global mosaic, must be >=2016. Defaults to 2016.	2016
month	int	The month of Planet global mosaic, must be 1-12. Defaults to 1.	1
api_key	str	The Planet API key. Defaults to None.	None
token_name	str	The environment variable name of the API key. Defaults to "PLANET_API_KEY".	'PLANET_API_KEY'
name	str	Name of the layer. Defaults to 'TileLayer'.	None
attribution	str	The attribution to use. Defaults to "".	''
opacity	float	The opacity of the layer. Defaults to 1.	1.0

Source code in leafmap/plotlymap.py

def add_planet_by_month(
    self,
    year: Optional[int] = 2016,
    month: Optional[int] = 1,
    api_key: Optional[str] = None,
    token_name: Optional[str] = "PLANET_API_KEY",
    name: Optional[str] = None,
    attribution: str = "",
    opacity: Optional[float] = 1.0,
) -> None:
    """Adds Planet global mosaic by month to the map. To get a Planet API key, see https://developers.planet.com/quickstart/apis/

    Args:
        year (int, optional): The year of Planet global mosaic, must be >=2016. Defaults to 2016.
        month (int, optional): The month of Planet global mosaic, must be 1-12. Defaults to 1.
        api_key (str, optional): The Planet API key. Defaults to None.
        token_name (str, optional): The environment variable name of the API key. Defaults to "PLANET_API_KEY".
        name (str, optional): Name of the layer. Defaults to 'TileLayer'.
        attribution (str): The attribution to use. Defaults to "".
        opacity (float, optional): The opacity of the layer. Defaults to 1.
    """
    if name is None:
        name = str(year) + "-" + str(month).zfill(2)
    tile_url = common.planet_by_month(year, month, api_key, token_name)
    self.add_tile_layer(
        tile_url, name=name, attribution=attribution, opacity=opacity
    )

add_planet_by_quarter(year=2016, quarter=1, api_key=None, token_name='PLANET_API_KEY', name=None, attribution='', opacity=1.0)

Adds Planet global mosaic by month to the map. To get a Planet API key, see https://developers.planet.com/quickstart/apis/

Parameters:

Name	Type	Description	Default
year	int	The year of Planet global mosaic, must be >=2016. Defaults to 2016.	2016
quarter	int	The quarter of Planet global mosaic, must be 1-4. Defaults to 1.	1
api_key	str	The Planet API key. Defaults to None.	None
token_name	str	The environment variable name of the API key. Defaults to "PLANET_API_KEY".	'PLANET_API_KEY'
name	str	Name of the layer. Defaults to 'TileLayer'.	None
attribution	str	The attribution to use. Defaults to "".	''
opacity	float	The opacity of the layer. Defaults to 1.	1.0

Source code in leafmap/plotlymap.py

def add_planet_by_quarter(
    self,
    year: Optional[int] = 2016,
    quarter: Optional[int] = 1,
    api_key: Optional[str] = None,
    token_name: Optional[str] = "PLANET_API_KEY",
    name: Optional[str] = None,
    attribution: str = "",
    opacity: Optional[float] = 1.0,
) -> None:
    """Adds Planet global mosaic by month to the map. To get a Planet API key, see https://developers.planet.com/quickstart/apis/

    Args:
        year (int, optional): The year of Planet global mosaic, must be >=2016. Defaults to 2016.
        quarter (int, optional): The quarter of Planet global mosaic, must be 1-4. Defaults to 1.
        api_key (str, optional): The Planet API key. Defaults to None.
        token_name (str, optional): The environment variable name of the API key. Defaults to "PLANET_API_KEY".
        name (str, optional): Name of the layer. Defaults to 'TileLayer'.
        attribution (str): The attribution to use. Defaults to "".
        opacity (float, optional): The opacity of the layer. Defaults to 1.
    """
    if name is None:
        name = str(year) + "-" + "q" + str(quarter)
    tile_url = common.planet_by_quarter(year, quarter, api_key, token_name)
    self.add_tile_layer(
        tile_url, name=name, attribution=attribution, opacity=opacity
    )

add_scatter_plot_demo(**kwargs)

Adds a scatter plot to the map.

Source code in leafmap/plotlymap.py

def add_scatter_plot_demo(self, **kwargs) -> None:
    """Adds a scatter plot to the map."""
    lons = np.random.random(1000) * 360.0
    lats = np.random.random(1000) * 180.0 - 90.0
    z = np.random.random(1000) * 50.0
    self.add_scattermapbox(
        lon=lons, lat=lats, marker={"color": z}, name="Random points", **kwargs
    )

add_stac_layer(url=None, collection=None, items=None, assets=None, bands=None, titiler_endpoint=None, name='STAC Layer', attribution='', opacity=1.0, **kwargs)

Adds a STAC TileLayer to the map.

Parameters:

Name	Type	Description	Default
url	str	HTTP URL to a STAC item, e.g., https://canada-spot-ortho.s3.amazonaws.com/canada_spot_orthoimages/canada_spot5_orthoimages/S5_2007/S5_11055_6057_20070622/S5_11055_6057_20070622.json	None
collection	str	The Microsoft Planetary Computer STAC collection ID, e.g., landsat-8-c2-l2.	None
items	str	The Microsoft Planetary Computer STAC item ID, e.g., LC08_L2SP_047027_20201204_02_T1.	None
assets	str | list	The Microsoft Planetary Computer STAC asset ID, e.g., ["SR_B7", "SR_B5", "SR_B4"].	None
bands	list	A list of band names, e.g., ["SR_B7", "SR_B5", "SR_B4"]	None
titiler_endpoint	str	Titiler endpoint, e.g., "https://titiler.xyz", "planetary-computer", "pc". Defaults to None.	None
name	str	The layer name to use for the layer. Defaults to 'STAC Layer'.	'STAC Layer'
attribution	str	The attribution to use. Defaults to ''.	''
opacity	float	The opacity of the layer. Defaults to 1.	1.0

Source code in leafmap/plotlymap.py

def add_stac_layer(
    self,
    url: str = None,
    collection: str = None,
    items: str = None,
    assets: str = None,
    bands: List = None,
    titiler_endpoint: Optional[str] = None,
    name: Optional[str] = "STAC Layer",
    attribution: Optional[str] = "",
    opacity: Optional[float] = 1.0,
    **kwargs,
) -> None:
    """Adds a STAC TileLayer to the map.

    Args:
        url (str): HTTP URL to a STAC item, e.g., https://canada-spot-ortho.s3.amazonaws.com/canada_spot_orthoimages/canada_spot5_orthoimages/S5_2007/S5_11055_6057_20070622/S5_11055_6057_20070622.json
        collection (str): The Microsoft Planetary Computer STAC collection ID, e.g., landsat-8-c2-l2.
        items (str): The Microsoft Planetary Computer STAC item ID, e.g., LC08_L2SP_047027_20201204_02_T1.
        assets (str | list): The Microsoft Planetary Computer STAC asset ID, e.g., ["SR_B7", "SR_B5", "SR_B4"].
        bands (list): A list of band names, e.g., ["SR_B7", "SR_B5", "SR_B4"]
        titiler_endpoint (str, optional): Titiler endpoint, e.g., "https://titiler.xyz", "planetary-computer", "pc". Defaults to None.
        name (str, optional): The layer name to use for the layer. Defaults to 'STAC Layer'.
        attribution (str, optional): The attribution to use. Defaults to ''.
        opacity (float, optional): The opacity of the layer. Defaults to 1.
    """
    tile_url = common.stac_tile(
        url, collection, items, assets, bands, titiler_endpoint, **kwargs
    )
    center = common.stac_center(url, collection, items, titiler_endpoint)
    self.add_tile_layer(tile_url, name, attribution, opacity)
    self.set_center(lon=center[0], lat=center[1], zoom=10)

add_tile_layer(url, name='TileLayer', attribution='', opacity=1.0, **kwargs)

Adds a TileLayer to the map.

Parameters:

Name	Type	Description	Default
url	str	The URL of the tile layer.	required
name	str	Name of the layer. Defaults to 'TileLayer'.	'TileLayer'
attribution	str	The attribution to use. Defaults to "".	''
opacity	float	The opacity of the layer. Defaults to 1.	1.0

Source code in leafmap/plotlymap.py

def add_tile_layer(
    self,
    url: str,
    name: Optional[str] = "TileLayer",
    attribution: Optional[str] = "",
    opacity: Optional[float] = 1.0,
    **kwargs,
) -> None:
    """Adds a TileLayer to the map.

    Args:
        url (str): The URL of the tile layer.
        name (str, optional): Name of the layer. Defaults to 'TileLayer'.
        attribution (str): The attribution to use. Defaults to "".
        opacity (float, optional): The opacity of the layer. Defaults to 1.
    """

    layer = {
        "below": "traces",
        "sourcetype": "raster",
        "sourceattribution": attribution,
        "source": [url],
        "opacity": opacity,
        "name": name,
    }
    layers = list(self.layout.mapbox.layers) + [layer]
    self.update_layout(mapbox_layers=layers)

clear_controls()

Removes all controls from the map.

Source code in leafmap/plotlymap.py

def clear_controls(self):
    """Removes all controls from the map."""
    config = {
        "scrollZoom": True,
        "displayModeBar": False,
        "editable": True,
        "showLink": False,
        "displaylogo": False,
    }
    self.show(toolbar=False, config=config)

clear_layers(clear_basemap=False)

Clears all layers from the map.

Parameters:

Name	Type	Description	Default
clear_basemap	bool	If True, clears the basemap. Defaults to False.	False

Source code in leafmap/plotlymap.py

def clear_layers(self, clear_basemap: Optional[bool] = False):
    """Clears all layers from the map.

    Args:
        clear_basemap (bool, optional): If True, clears the basemap. Defaults to False.
    """
    if clear_basemap:
        self.data = []
    else:
        if len(self.data) > 1:
            self.data = self.data[:1]

find_layer_index(name)

Finds the index of a layer.

Parameters:

Name	Type	Description	Default
name	str	Name of the layer to find.	required

Returns:

Name	Type	Description
int	int	Index of the layer.

Source code in leafmap/plotlymap.py

def find_layer_index(self, name: str) -> int:
    """Finds the index of a layer.

    Args:
        name (str): Name of the layer to find.

    Returns:
        int: Index of the layer.
    """
    for i, layer in enumerate(self.data):
        if layer.name == name:
            return i

    for i, layer in enumerate(self.layout.mapbox.layers):
        if layer["name"] == name:
            return i

    return None

get_data_layers()

Returns a dictionary of data layers in the map.

Returns:

Name	Type	Description
dict	Dict	A dictionary of data layers in the map.

Source code in leafmap/plotlymap.py

def get_data_layers(self) -> Dict:
    """Returns a dictionary of data layers in the map.

    Returns:
        dict: A dictionary of data layers in the map.
    """

    layers = {}

    for layer in self.data:
        if layer.name is not None and layer.name != "trace 0":
            layers[layer.name] = layer

    return layers

get_layers()

Returns a dictionary of all layers in the map. Returns: dict: A dictionary of all layers in the map.

Source code in leafmap/plotlymap.py

def get_layers(self) -> Dict:
    """Returns a dictionary of all layers in the map.
    Returns:
        dict: A dictionary of all layers in the map.
    """
    layers = {}

    for layer in self.layout.mapbox.layers:
        if layer["name"] is not None:
            layers[layer["name"]] = layer

    for layer in self.data:
        if layer.name is not None and layer.name != "trace 0":
            layers[layer.name] = layer

    return layers

get_tile_layers()

Returns a dictionary of tile layers in the map.

Returns:

Name	Type	Description
dict	Dict	A dictionary of tile layers in the map.

Source code in leafmap/plotlymap.py

def get_tile_layers(self) -> Dict:
    """Returns a dictionary of tile layers in the map.

    Returns:
        dict: A dictionary of tile layers in the map.
    """

    layers = {}

    for layer in self.layout.mapbox.layers:
        if layer["name"] is not None:
            layers[layer["name"]] = layer

    return layers

remove_basemap(name)

Removes a basemap from the map.

Parameters:

Name	Type	Description	Default
name	str	Name of the basemap to remove.	required

Source code in leafmap/plotlymap.py

def remove_basemap(self, name: str) -> None:
    """Removes a basemap from the map.

    Args:
        name (str): Name of the basemap to remove.
    """
    layers = list(self.layout.mapbox.layers)
    layers = [layer for layer in layers if layer["name"] != name]
    self.layout.mapbox.layers = layers

remove_controls(controls)

Removes controls to the map.

Parameters:

Name	Type	Description	Default
controls	list	List of controls to remove, e.g., ["zoomin", "zoomout", "toimage", "pan", "resetview"]. See https://bit.ly/3Jk7wkb	required

Source code in leafmap/plotlymap.py

def remove_controls(self, controls: List):
    """Removes controls to the map.

    Args:
        controls (list): List of controls to remove, e.g., ["zoomin", "zoomout", "toimage", "pan", "resetview"]. See https://bit.ly/3Jk7wkb
    """
    if isinstance(controls, str):
        controls = [controls]
    elif not isinstance(controls, list):
        raise ValueError(
            "Controls must be a string or a list of strings. See https://bit.ly/3Jk7wkb"
        )

    self.update_layout(modebar_remove=controls)

remove_layer(name)

Removes a layer from the map.

Parameters:

Name	Type	Description	Default
name	str	Name of the layer to remove.	required

Source code in leafmap/plotlymap.py

def remove_layer(self, name: str) -> None:
    """Removes a layer from the map.

    Args:
        name (str): Name of the layer to remove.
    """
    if name in self.get_data_layers():
        self.data = [layer for layer in self.data if layer.name != name]
    elif name in self.get_tile_layers():
        self.layout.mapbox.layers = [
            layer for layer in self.layout.mapbox.layers if layer["name"] != name
        ]

save(file, format=None, width=None, height=None, scale=None, **kwargs)

Convert a map to a static image and write it to a file or writeable object

Parameters:

Name	Type	Description	Default
file	str	A string representing a local file path or a writeable object (e.g. a pathlib.Path object or an open file descriptor)	required
format	str	The desired image format. One of png, jpg, jpeg, webp, svg, pdf, eps. Defaults to None.	None
width	int	The width of the exported image in layout pixels. If the scale property is 1.0, this will also be the width of the exported image in physical pixels.. Defaults to None.	None
height	int	The height of the exported image in layout pixels. If the scale property is 1.0, this will also be the height of the exported image in physical pixels.. Defaults to None.	None
scale	int	The scale factor to use when exporting the figure. A scale factor larger than 1.0 will increase the image resolution with respect to the figure's layout pixel dimensions. Whereas as scale factor of less than 1.0 will decrease the image resolution.. Defaults to None.	None

Source code in leafmap/plotlymap.py

def save(
    self,
    file: str,
    format: Optional[str] = None,
    width: Optional[int] = None,
    height: Optional[int] = None,
    scale: Optional[int] = None,
    **kwargs,
) -> None:
    """Convert a map to a static image and write it to a file or writeable object

    Args:
        file (str): A string representing a local file path or a writeable object (e.g. a pathlib.Path object or an open file descriptor)
        format (str, optional): The desired image format. One of png, jpg, jpeg, webp, svg, pdf, eps. Defaults to None.
        width (int, optional): The width of the exported image in layout pixels. If the `scale` property is 1.0, this will also be the width of the exported image in physical pixels.. Defaults to None.
        height (int, optional): The height of the exported image in layout pixels. If the `scale` property is 1.0, this will also be the height of the exported image in physical pixels.. Defaults to None.
        scale (int, optional): The scale factor to use when exporting the figure. A scale factor larger than 1.0 will increase the image resolution with respect to the figure's layout pixel dimensions. Whereas as scale factor of less than 1.0 will decrease the image resolution.. Defaults to None.
    """
    self.write_image(
        file, format=format, width=width, height=height, scale=scale, **kwargs
    )

set_center(lat, lon, zoom=None)

Sets the center of the map.

Parameters:

Name	Type	Description	Default
lat	float	Latitude.	required
lon	float	Longitude.	required
zoom	int	Zoom level of the map. Defaults to None.	None

Source code in leafmap/plotlymap.py

def set_center(self, lat: float, lon: float, zoom: Optional[float] = None) -> None:
    """Sets the center of the map.

    Args:
        lat (float): Latitude.
        lon (float): Longitude.
        zoom (int, optional): Zoom level of the map. Defaults to None.
    """
    self.update_layout(
        mapbox=dict(
            center=dict(lat=lat, lon=lon),
            zoom=zoom if zoom is not None else self.layout.mapbox.zoom,
        )
    )

set_layer_opacity(name, opacity=1)

Sets the visibility of a layer.

Parameters:

Name	Type	Description	Default
name	str	Name of the layer to set.	required
opacity	float	Opacity of the layer. Defaults to 1.	1

Source code in leafmap/plotlymap.py

def set_layer_opacity(self, name: str, opacity: Optional[float] = 1) -> None:
    """Sets the visibility of a layer.

    Args:
        name (str): Name of the layer to set.
        opacity (float, optional): Opacity of the layer. Defaults to 1.
    """

    if name in self.get_tile_layers():
        index = self.find_layer_index(name)
        self.layout.mapbox.layers[index].opacity = opacity
    elif name in self.get_data_layers():
        index = self.find_layer_index(name)
        layer = self.data[index]
        if hasattr(layer, "opacity"):
            layer.opacity = opacity
        elif hasattr(layer, "marker"):
            layer.marker.opacity = opacity
    else:
        print(f"Layer {name} not found.")

set_layer_visibility(name, show=True)

Sets the visibility of a layer.

Parameters:

Name	Type	Description	Default
name	str	Name of the layer to set.	required
show	bool	If True, shows the layer. Defaults to True.	True

Source code in leafmap/plotlymap.py

def set_layer_visibility(self, name: str, show: Optional[bool] = True) -> None:
    """Sets the visibility of a layer.

    Args:
        name (str): Name of the layer to set.
        show (bool, optional): If True, shows the layer. Defaults to True.
    """

    if name in self.get_tile_layers():
        index = self.find_layer_index(name)
        self.layout.mapbox.layers[index].visible = show
    elif name in self.get_data_layers():
        index = self.find_layer_index(name)
        self.data[index].visible = show
    else:
        print(f"Layer {name} not found.")

show(toolbar=True, map_min_width='91%', map_max_width='98%', refresh=False, **kwargs)

Shows the map.

Parameters:

Name	Type	Description	Default
toolbar	bool	Whether to show the toolbar. Defaults to True.	True
map_min_width	str	The minimum width of the map. Defaults to '91%'.	'91%'
map_max_width	str	The maximum width of the map. Defaults to '98%'.	'98%'
refresh	bool	Whether to refresh the map when the map is resized. Defaults to False.	False

Returns:

Name	Type	Description
Canvas	None	Map canvas.

Source code in leafmap/plotlymap.py

def show(
    self,
    toolbar: Optional[bool] = True,
    map_min_width: Optional[str] = "91%",
    map_max_width: Optional[str] = "98%",
    refresh: Optional[bool] = False,
    **kwargs,
) -> None:
    """Shows the map.

    Args:
        toolbar (bool, optional): Whether to show the toolbar. Defaults to True.
        map_min_width (str, optional): The minimum width of the map. Defaults to '91%'.
        map_max_width (str, optional): The maximum width of the map. Defaults to '98%'.
        refresh (bool, optional): Whether to refresh the map when the map is resized. Defaults to False.

    Returns:
        Canvas: Map canvas.
    """
    if not toolbar:
        super().show(**kwargs)
    else:
        canvas = Canvas(
            self,
            map_min_width=map_min_width,
            map_max_width=map_max_width,
            map_refresh=refresh,
        )
        return canvas.canvas

fix_widget_error()

Fix FigureWidget - 'mapbox._derived' Value Error. Adopted from: https://github.com/plotly/plotly.py/issues/2570#issuecomment-738735816

Source code in leafmap/plotlymap.py

def fix_widget_error() -> None:
    """
    Fix FigureWidget - 'mapbox._derived' Value Error.
    Adopted from: https://github.com/plotly/plotly.py/issues/2570#issuecomment-738735816
    """
    import shutil
    import importlib.resources

    pkg_dir = os.path.dirname(importlib.resources.files("plotly") / "plotly.py")

    basedatatypesPath = os.path.join(pkg_dir, "basedatatypes.py")

    backup_file = basedatatypesPath.replace(".py", "_bk.py")
    shutil.copyfile(basedatatypesPath, backup_file)

    # read basedatatypes.py
    with open(basedatatypesPath, "r") as f:
        lines = f.read()

    find = "if not BaseFigure._is_key_path_compatible(key_path_str, self.layout):"

    replace = """if not BaseFigure._is_key_path_compatible(key_path_str, self.layout):
                if key_path_str == "mapbox._derived":
                    return"""

    # add new text
    lines = lines.replace(find, replace)

    # overwrite old 'basedatatypes.py'
    with open(basedatatypesPath, "w") as f:
        f.write(lines)